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Gepubliceerd in: Quality of Life Research 8/2010

Open Access 01-10-2010

Development of the Healthy Pathways Child-Report Scales

Auteurs: Katherine B. Bevans, Anne W. Riley, Christopher B. Forrest

Gepubliceerd in: Quality of Life Research | Uitgave 8/2010

Abstract

Purpose

The Child Health and Illness Profile (CHIP) has separate child (6–11 years) and adolescent (12–21 years) editions that measure youth’s self-assessed health, illness, and well-being. The purpose of this study was to revise the CHIP by combining the two editions to create the Healthy Pathways Child-Report Scales.

Methods

We modified the original CHIP domains of Comfort, Risk Avoidance, Satisfaction, and Resilience to reflect advances in child health conceptualization. Classical test and item response theory psychometric analyses were conducted using data collected from 2,095 children (49% boys, 80% White, 17% African-American, 3% Hispanic, Age: M = 10.6, SD = 1.0) in grades 4–6 at 34 schools.

Results

After minor revisions, 16 of the 17 scales were found to measure unidimensional self-assessed health, illness, and well-being constructs comprehensively, but with a minimal number of items. Scales were unbiased by age, gender, survey modality, and geographic location. Construct validity was demonstrated by the instrument’s capacity to differentiate among children with and without chronic illnesses and to detect expected age and gender differences.

Conclusions

The Healthy Pathways Child-Report Scales may be used to reliably and accurately assess unidimensional aspects of health, illness, and well-being in clinical and population-based research studies involving youth in transition from childhood to adolescence.
Afkortingen
CHIP
Child health and illness profile
CHIP-CE
Child health and illness profile-child edition
CHIP-AE
Child health and illness profile-adolescent edition
IRT
Item response theory
SHCN
Special health care need
ADHD
Attention deficit hyperactivity disorder
DIF
Differential item functioning

Introduction

Health measurement and patient-reported outcome science are in the midst of major transitions, fueled by enhanced statistical methodologies and technological capabilities. At the same time, the scientific evidence for the continuity of health from childhood through mid-life and beyond has stimulated investment in understanding children’s health and how it changes over time as a function of both development and contextual influences [1]. However, the measurement of health during this phase of life has received relatively little attention. Many instruments fail to adequately capture the emerging aspects of health relevant for children as they transition into adolescence. Instruments sensitive to the changing priorities, social influences, and health-relevant behaviors of emerging adolescents are essential to understanding which children are most at risk for declines in health, which aspects of health are most susceptible to decrements, and which factors serve to maintain positive health assets through this period and in adult life.
To meet this demand and take advantage of the advances in health measurement, the child and adolescent editions of the Child Health and Illness Profile were reevaluated. The reliability and validity of the CHIP (Child and Adolescent Editions) were supported in the initial development work and further in the effective application of the CHIP in a number of studies in the United States [27] and abroad [810]. However, one significant limitation of the CHIP measurement system is uncertainty in which edition (child or adolescent) is most appropriate for use with young adolescents (aged 10–12). Further, the two editions result in some discontinuity in the measurement of health during this important transitional period. A revision of the CHIP was needed to ensure greater sensitivity to the unique health issues of children entering adolescence. This revision, reported here, is the Healthy Pathways Child-Report Scales. The Healthy Pathways Child-Report scales were developed to be unidimensional to support their eventual use in item banking and computerized adaptive tests and to otherwise enhance the usability of the measure by ensuring that each of the health, illness, or well-being scales could be used independently of others [11, 12]. Each scale score is intended to measure a single construct. This differs from the CHIP, which was designed to produce sub-domain scale scores, which were averaged to create domain scores. In addition to these methodological considerations, Healthy Pathways scales expanded the CHIP conceptualization of health and illness and added items to scales known from prior use of the CHIP to have limited utility or poor psychometric characteristics. Thus, the Healthy Pathways Child-Report Scales were designed to assess youths’ perspectives on their health, illness, and well-being during the transition from childhood to adolescence in a psychometrically sound and theoretically grounded manner.

Modifications to the CHIP conceptual framework

The CHIP conceptual framework was the starting point for the Healthy Pathways scale development. Original CHIP domains include Satisfaction (with one’s health and self), Comfort (the experience of physical and emotional symptoms and restrictions in activity due to illness), Resilience (behaviors and family involvement that protect health), Risk Avoidance (behaviors that pose risks to future health), and Achievement (developmentally appropriate role functioning in school and with peers) [13, 14]. We continued to focus on the measurement of Achievement as an important dimension of quality of life for children but now consider the Achievement domain an outcome of health rather than health itself. This is consistent with other models of health as a resources the enable achievement of desired goals [15].
Focusing on the four core domains of child health from the CHIP, we revised the measurement model in several ways and made no attempt to produce multidimensional domain scales, focusing instead on the unidimensional constructs. First, the Comfort domain, which was originally composed of physically experienced symptoms (e.g., pain, fatigue, and somatic complaints) and emotional distress symptoms (e.g., anger, anxiety, and depression) was expanded to include a third construct called “reactions to stress,” which are particularly distressing, involuntary responses to interpersonal and social challenges, shown to be an critical aspect of youth health [16]. Such responses as ruminating about problems and having intrusive thoughts are indicators of prolonged and maladaptive mental, behavioral, and physiological responses to stressors, an important but rarely assessed aspect of health [1719].
Second, the Satisfaction domain was broadened to encompass global indicators of life satisfaction and happiness, while retaining the original focus on general self worth. In addition, we chose to expand the satisfaction concept by measuring self-appraisal in an area that is considered particularly salient during the child-to-adolescent transition, satisfaction with physical appearance/body image. The inclusion of a body image scale reflects pre-adolescents’ and adolescents’ preoccupation with physical appearance and the acquisition of secondary sexual characteristics. In line with this expanded conceptualization, we renamed this dimension subjective well-being to better reflect the broader concept of children’s appraisal of their lives and overall happiness.
Third, the CHIP Risk Avoidance domain assessed the tendency to take risks, behaviors that pose a threat to future health, such as smoking, drinking, and risky sexual activity, and behaviors that threaten social development, such as aggression and being a victim of bullying. Because risk behaviors that threaten future health do not occur at high rates among pre-adolescent children, who were two-thirds of our sample, we were not able to administer the individual risk behaviors scale. However, the CHIP threats to achievement scale was separated into two homogeneous sub-scales, aggression/bullying toward others and perceived peer hostility/bully victim.
Fourth, the CHIP Resilience domain, which has a strong conceptual foundation, but is very challenging to operationalize [20], seeks to assess the depth of children’s ability to cope with demands, maintain health, and engage in health enhancing activities. Healthy Pathways retained CHIP’s Active Coping and Family Involvement (here, Connectedness) scales, as well as scales that assess how connected the child feels to his peers. We added a teacher connectedness scale, because of the salience of belonging in school to the social dimension of child health, and the known empirical associations between teacher connectedness and school success [21, 22]. Teacher connectedness is a vital component of reliance among young adolescents who increasingly seek and benefit from the support of extra-familial adults [22]. These social connections provide a sense of belongingness and help “buffer” people from the negative effects of stressors [23, 24]. The Active Coping scale comprises effective strategies for solving socially demanding and self-concept threatening problems and minimizing their impact [25].
Lastly, we added a fifth domain called Energy, which in the CHIP included scales previously categorized as Resilience. Energy comprises aspects of health related to energy management and feelings of vitality and healthfulness. Scales included balanced nutrition (i.e., energy intake) and physical activity (i.e., energy expenditure), both from the original CHIP, and a new construct of vitality (i.e., feelings of being energetic), which was a modification of the CHIP’s satisfaction with health sub-domain. A child’s energy level contributes significantly to the extent of internal resources available to meet the demands of life [20]. The health, illness, and well-being constructs that are assessed by the Healthy Pathways Scales are presented in Table 1.
Table 1
Health constructs measured by the Healthy Pathways Child-Report Scales
Domain/sub-domain
Description
Comfort
 Physical comfort
Physically experienced distress such as pain, fatigue, and somatic complaints
 Emotional comfort
Emotions and mood with emphasis on anxiety, anger, and depression
 Negative stress reactions
Distress experienced involuntary when presented with a social problem
Energy
 Physical activity
Involvement in activities that promote physical fitness
 Balanced nutrition
Eating foods that promote health and avoiding those that threaten future health
 Vitality
Feelings of vim, vigor, pep, energy, and healthfulness
Resilience
 Peer connectedness
Making friends, quality of friendships, having friends you can trust
 Family connectedness
A feeling of belonging in one’s family
 Teacher connectedness
Perceptions that teachers care about you as a person and about your learning
 Active coping
Social problem-solving such as how you manage conflict with a friend or getting a bad grade
Risk avoidance
 Aggression/bullying
Verbally or physically hurting peers
 Peer hostility/bully victim
Being bullied by peers
Subjective well-being
 Life satisfaction
Evaluation of one’s life, having fun, feeling happy
 Self-worth
One’s satisfaction with their self
 Body image
Assessment of body image
Achievement
 Academic performance
Assessment of how well you do in academic endeavors like school work, reading, math
 School engagement
The degree to which children are interested and invested in learning and strive for knowledge and mastery

Methods

Participants

The Healthy Pathways Child-Report Scales were administered as part of a longitudinal study of the relationships between child health and school performance (Project Healthy Pathways). The psychometric analyses presented herein were conducted using the 1st wave of data. Participants were 2,095 students in grades 4–6. Children were recruited from regular education classrooms in 34 elementary (4th–5th grade, Age: M = 10.2, SD = 0.8) or middle (6th grade, Age: M = 11.6, SD = 0.6) schools in Maryland (2 school districts) and West Virginia (1 school district). Informed parental consent was obtained for 74% of students eligible to participate; 99% of students with parental consent completed the scales. Student participants were 49% boys, 81% White, 17% African-American, 3% of another race, and 3% Hispanic. Approximately 21% of children were living in poverty as indicated by U.S. Census Bureau poverty thresholds for 2006, and 39% were living in single parent households. There were no significant differences between the demographic characteristics of participating children/families and those reported by the U.S. Census Bureau for residents in the communities in which the study was conducted.
Parent self-administered questionnaires from which we derived information on family demographics and children’s chronic disorders were returned for 71% (N = 1,517) of the student sample. There were no substantive differences in children’s self-assessed health between those whose parents returned completed questionnaires and those whose parent did not (all effect sizes <.15).

Procedures

Students in 25 out of 34 participating schools completed questionnaires on their school’s desktop computers using a web-based audio computer-assisted self-administered questionnaire. In the remaining nine schools, limitations of the school system’s network security prohibited web-based collection of data. In these schools, children completed their questionnaire using paper and pencil. Children in 4th and 5th grade completed the paper-and-pencil questionnaire as a survey administrator read the questions aloud. Sixth-grade students completed the survey by reading the items silently. All data collection was monitored by research staff and a school staff member. Study procedures were approved by the local Institutional Review Boards and those located at the Children’s Hospital of Philadelphia, the Johns Hopkins Bloomberg School of Public Health, and Marshall University.

Measures

Healthy Pathways Child-Report Scales

The majority of items included on the Healthy Pathways Child-Report Scales were derived from the CHIP. The development of additional items was heavily influenced by other preceding works including the KIDSCREEN [26, 27], the AddHealth Survey [28], and the Response to Stress Questionnaire [16], for which items have undergone extensive cognitive testing and validation. Items were selected from these validated measures or generated by a panel of test developers, child health experts, and clinicians (e.g., pediatricians, psychologists, and nurses). Items were pilot tested with 200 seventh-grade students in 2005. Analysis of these data including inspection of item and scale properties (e.g., frequency of missing data, range, means, standard deviations, Cronbach’s alpha, and principal component analyses) resulted in removal of 2 physical comfort items (itchy skin and earache), 1 emotional comfort item (cry a lot), and 1 self-worth item (well coordinated). These items were removed because they failed to adequately contribute to any of the health, illness, or well-being constructs as evidenced by poor factor loadings and/or improvement in a scale’s internal consistency reliability resulting from their removal. The final health scales (n = 17), each containing 3–9 items, were produced in 2006.

Children with special health care needs screener

Parents were administered the Children with Special Health Care Needs Screener (CSHCN), a non-categorical measure of long-term health problems that increase a child’s need for medical care [29]. In addition, parents responded to the Disorders checklist from the CHIP [14] to indicate whether their child has been diagnosed with asthma or attention deficit hyperactivity disorder (ADHD).

Statistical and psychometric analyses

Advanced psychometric methods including both traditional (i.e., classical) and modern (i.e., IRT) procedures were used throughout the instrument development process [27, 30, 31]. All items had 5-point Likert scale response categories, which were reverse scored when necessary so that higher scores indicated better health (e.g., less physical discomfort, more positive self-worth). The general characteristics of each item were assessed using response frequencies, mean, standard deviation, and skewness. We evaluated the unidimensionality of scales by estimating internal consistency reliability and conducting one-factor confirmatory factor analyses using MPlus software [32]. Local independence was evaluated by examining residual correlations among items in the one-factor model.
Rasch-Masters partial credit models were fit to the data and model and item fit determined using Winsteps [11, 31]. We established item fit to the model through inspection of infit and outfit statistics and post hoc estimated empirical item discrimination parameters. Item scores were used to calibrate item “difficulty” on a logit scale with a midpoint of 0. Difficulty parameters were inspected to determine whether items supported the comprehensive measurement of the underlying latent construct with minimal gaps and redundancy.
Tests of uniform differential item functioning (DIF) were conducted to identify systematic errors due to group bias based on gender [male (n = 1,023) vs. female (n = 1,072)], grade level [4th (n = 745) vs. 5th (n = 665) vs. 6th (n = 685)], mode of survey administration [paper and pencil (n = 838) vs. computer-based (n = 1,257)], and state [Maryland (n = 1,333) vs. West Virginia (n = 762)]. Significant DIF contrast values as evidenced by the Mantel-Haenszel significance test indicate that one group of respondents is scoring higher or lower than another group of respondents on an item after adjusting for the overall scores of the respondents [33, 34].
Once scale composition was established based on results of the psychometric analyses, scale scores were calculated by averaging constituent items such that all scale scores ranged from 1 to 5 with higher scores indicating better health. Discriminative validity was evaluated by testing for expected gender- and grade-level differences in children’s health and disparities among children with and without SHCNs, asthma, and ADHD [3439]. Between-group effect sizes (ES, d) were calculated and considered meaningful if greater than 0.2 [40].

Results

Item descriptive statistics

Details of all item descriptive characteristics, their wording, response formats, and scoring are presented in “Appendix A”. Missing data rates for all items were 2% or smaller. As is typical for child health status instruments administered in the general population [10, 27], many items were negatively skewed. However, all response categories were endorsed for every item. The largest item-level floor effect was observed for “In the past 4 weeks, how often did you eat raw vegetables?” (44% endorsed “never”), and the largest ceiling effect was observed for “When was the last time you destroyed something belonging to someone else at school?” (82% endorsed “never”).

Unidimensionality

Internal consistency was supported by Cronbach’s alpha statistics for all scales except balanced nutrition (α = .56) (Table 2). The one-factor CFA model fits the data well for 15 of the 17 scales according to two indices that provide different and complementary information about model fit, the root mean error of approximation (RMSEA) and the comparative fit indices (CFI). These fit statistics provide information about fit adjusted for model parsimony (RMSEA) and relative to a null model (CFI) [41]. Guided by suggestions provided by Hu and Bentler [42], acceptable model fit was defined by the following criteria: RMSEA ≤ 0.1 and CFI ≥ .9.
Table 2
Scale descriptive statistics, confirmatory factor analysis results, and internal consistency reliability coefficients
 
Scale descriptive statistics
Results of one-factor CFA analyses
α
n
Mean (SD)
Floor (%)
Ceiling (%)
CFI
RMSEA
Factor loadings (range)
Comfort
 Physical comfort
2,095
3.67 (0.67)
0.00
1.19
0.93
.07
.44–.61
.74
 Emotional comfort
2,093
3.90 (0.73)
0.05
4.97
0.91
.10
.52–.70
.80
 Negative stress reactions
2,081
3.30 (0.95)
1.92
4.33
0.93
.05
.56–.69
.77
Energy
 Physical activity
2,086
3.85 (0.81)
0.34
9.73
0.99
.01
.51–.82
.74
 Nutrition
2,080
2.96 (0.70)
0.48
0.70
0.57
.18
.17–.66
.56
 Vitality
2,095
3.95 (0.69)
0.05
6.73
0.95
.10
.52–.75
.77
Resilience
 Peer connectedness
2,091
4.05 (0.73)
0.29
6.17
0.99
.06
.60–.75
.86
 Family connectedness
2,090
3.75 (0.84)
0.14
4.35
0.97
.07
.62–.77
.85
 Teacher connectedness
2,089
4.04 (0.81)
0.10
13.12
0.94
.10
.55–.82
.86
 Active coping
2,083
3.65 (0.81)
0.53
4.80
0.91
.10
.56–.73
.82
Risk avoidance
 Aggression/bullying
2,082
4.43 (0.84)
0.19
50.77
0.99
.07
.54–.72
.72
 Peer hostility/bully victim
2,085
4.21 (0.92)
0.67
34.68
0.94
.08
.53–.83
.76
Subjective well-being
 Life satisfaction
2,085
4.20 (0.69)
0.10
15.88
0.97
.10
.62–.75
.83
 Self-worth
2,093
3.97 (0.86)
0.72
17.82
0.99
.01
.70–.83
.76
 Body image
2,091
3.87 (0.88)
0.38
12.15
0.95
.10
.55–.67
.75
Achievement
 Academic performance
2,086
3.91 (0.72)
0.19
5.03
0.97
.08
.57–.82
.82
 School engagement
2,090
2.97 (1.00)
5.31
3.35
0.99
.09
.61–.84
.83
Comparative fit index (CFI) was used to evaluate the fit of the specific model in relation to a null model in which the covariances among all indicators are fixed to 0. CFI ≥ .90 indicates adequate fit
Root mean square error of approximation (RMSEA) was used to assess model fit adjusted for model parsimony. RMSEA ≤ 0.10 indicates adequate fit
The original version of the peer connectedness scale was a poor fit for the one-factor CFA model resulting from the relatively poor factor loading (.47) of a single item, “Thinking about the past 4 weeks, have you done things with other girls and boys?” (CFI = .88, RMSEA = .12). The scale was found to be sufficiently unidimensional after this item was removed (CFI = .99, RMSEA = .06).
Consistent with its poor internal consistency reliability, the balanced nutrition scale was a poor fit for the one-factor CFA model (CFI = .57, RMSEA = .18) and despite attempts to remove items, scale unidimensionality was not achieved.

Local independence

Within each scale, item-to-item residual correlations from the one-factor CFA models were examined to test for local independence, which is the assumption that observed items are independent of each other given an individual score on the underlying latent variable (i.e., one of the Healthy Pathway scales). Two items from the emotional comfort scale were found to be locally dependent with a residual correlation of .47: “In the past 4 weeks, how often did you feel really worried?” and “Thinking about the past 4 weeks, have you felt under pressure?” The one-factor model for emotional comfort was significantly improved through the removal of the “pressure” item (CFI changed from .90 to .94; RMSEA from .10 to .07). Residual correlations were <.20 for all other item pairs within scales indicating that all remaining items met the local independence assumption.

Estimated Rasch parameters and model fit

Scales were revised based on results of the preceding analyses. Thereafter, all scales except for balanced nutrition, which failed to meet the assumption of unidimensionality, were fit to the Rasch-Masters partial credit model. All but two items had satisfactory fit statistics. The degree to which children reported “talking to a friend” as a means of coping with a social or school-related problem failed to adequately discriminate among children with varying levels of active coping capacities (INFIT = 1.23; OUTFIT = 1.31; a = 0.62). The frequency with which children “kept remembering what happened” in response to a stressful event was unpredictable among children at both high and low levels of negative stress reactions (INFIT = 1.19; OUTFIT = 1.24; a = 0.69). As a result, these items were removed from their respective scales.
Item fit statistics and parameters for the final scales are presented in Table 3. Each scale covered a broad range of estimated ability level (theta) in its underlying latent construct. Average coverage was 8.6 logits. The scale with the largest range in theta was life satisfaction (ranged from −4.7 to 6.0 logits), and the scale with the smallest range was aggression/bullying (ranged from −2.8 to 2.6 logits). Scale-level ceiling effects greater than 10% of the sample were observed for the aggression/bullying (51%), peer hostility/bully victim (29%), self-worth (18%), life satisfaction (16%), and body image (12%). Minimal floor effects (<1% of the sample) were observed for all scales. On average, item difficulties (deltas) covered 1.1 logits with the largest coverage observed for physical comfort (ranged from −.9 to 1.3 logits) and the smallest for self-worth (ranged from −.1 to .1 logits). As shown in Table 3, there was minimal redundancy in items.
Table 3
IRT item parameters
Domain/item
Fit statistics
Item difficulty parameters
INFIT
OUTFIT
a
Average
Response categories
1
2
3
4
5
Comfort
 Physical comfort
  Wake up tired
1.01
1.02
.99
1.26
.12
.52
1.01
1.44
2.02
  Cough
1.09
1.09
.87
0.42
−.29
.19
.72
1.05
1.57
  Trouble falling asleep
1.02
1.01
.99
0.16
−.27
.17
.53
.88
1.43
  Pain that bothered you
0.91
0.91
1.11
−0.01
−.40
−.09
.46
.90
1.51
  Headache
1.01
1.00
.99
−0.01
−.47
.01
.51
.96
1.50
  Stomach ache
0.95
0.93
1.07
−0.24
−.57
−.14
.39
.90
1.47
  Sore throat
1.02
1.00
.98
−0.67
−.81
−.15
.32
.83
1.33
  Trouble breathing
1.07
1.08
.98
−0.91
−.44
−.26
.09
.42
1.09
 Emotional comfort
  Grouchy
1.09
1.07
.90
0.51
−.17
.20
.76
1.43
2.44
  Moody
1.10
1.08
.89
0.29
−.19
.01
.65
1.33
2.16
  Trouble relaxing
1.06
1.08
.92
0.12
−.31
.00
.56
1.18
2.01
  Feel worried
0.89
0.88
1.12
−0.04
−.67
−.18
.49
1.10
2.12
  Feel sad
0.86
0.86
1.15
−0.12
−.50
−.20
.35
1.09
2.08
  Nervous
1.02
1.01
.97
−0.14
−.52
−.16
.45
1.20
2.10
  Feel afraid
0.99
0.94
1.02
−0.62
−.80
−.41
.23
.79
1.77
 Negative stress reactions
  Thoughts about problem pop into head
1.00
1.00
0.99
0.48
−1.11
−.24
.35
.96
2.32
  Hard to concentrate when I have problems
0.95
0.95
1.07
0.16
−1.24
−.37
.21
.76
1.93
  Think about problem while trying to sleep
0.94
0.93
1.09
0.04
−1.24
−.43
.13
.68
1.77
  Can’t remember what happened
1.06
1.09
0.93
−0.27
−1.43
−.48
.01
.47
1.45
  Mind goes blank
1.09
1.07
0.90
−0.42
−1.59
−.60
−.05
.44
1.39
Energy
 Physical activity
  Muscle strength exercises
1.22
1.21
.84
0.60
−.57
−.16
.78
1.73
3.26
  Play hard
1.12
1.10
.89
0.18
−.80
−.18
.38
1.33
2.97
  Run hard
0.76
0.75
1.27
−0.26
−1.54
−.74
.09
1.11
1.47
  Play active games
0.87
0.88
1.13
−0.52
−1.57
−.87
−.02
1.01
2.59
 Vitality
  Feel physically fit
0.99
1.00
1.02
0.49
−.16
−.26
.70
1.85
3.26
  Body strength
1.02
1.01
.98
0.25
−.65
−.45
.67
1.84
3.22
  Feel healthy
0.85
0.85
1.16
−0.18
−1.55
−.54
.36
1.59
2.98
  Overall health
0.96
0.95
1.05
−0.23
−1.15
−.16
.38
1.45
2.90
  Feel energetic
1.13
1.16
.82
−0.33
−.90
−.73
.42
1.58
2.77
Resilience
 Peer connectedness
  Talk about everything with friends
1.05
1.05
.93
0.40
−.45
.26
1.15
1.98
3.11
  Rely on friends
1.03
1.04
.98
0.26
−.70
−.26
.73
1.54
2.79
  Good at making friends
1.12
1.13
.87
0.16
−.98
.11
.70
1.53
2.60
  Spend time with friends
0.99
0.97
1.02
0.14
−1.38
.09
.68
1.57
2.86
  Friends help each other
0.90
0.86
1.12
0.12
−1.34
−.19
.63
1.57
2.81
  Had fun with friends
0.83
0.76
1.17
−0.35
−1.67
−.44
.24
1.15
2.50
  Get along well with friends
1.04
1.05
.94
−0.54
−2.55
−.60
.33
1.44
2.71
  How many friends
1.01
1.05
.98
−0.68
−3.20
−.19
.45
1.29
2.50
 Family connectedness
  Talk about next day with parents
1.08
1.07
.90
0.79
−.28
.09
.79
1.33
2.36
  Talk about feelings with parents
1.06
1.05
.93
0.65
−.39
.16
.69
1.30
2.28
  Do fun things together
0.77
0.76
1.29
0.21
−.87
−.23
.41
1.15
2.19
  Parents help with schoolwork
1.25
1.36
.75
0.16
−.46
−.01
.51
.95
1.75
  Parents listen to your ideas
0.85
0.83
1.17
0.07
−.79
−.40
.40
1.04
2.01
  Eat meals together
1.18
1.27
.83
−0.42
−.92
−.40
.26
.84
1.50
  Parents treat you fairly
0.86
0.83
1.13
−0.68
−1.25
−.60
−.10
.57
1.61
  Get along with parents
0.99
1.00
1.01
−0.76
−1.23
−.73
.05
.73
1.76
Teacher connectedness
  Teachers have time for me
1.14
1.14
.82
0.69
−.83
−.01
.94
2.02
3.84
  Teachers listen to my suggestions
0.96
0.95
1.05
0.56
−.83
−.20
.70
1.90
3.73
  Teachers respect my ideas/opinions
0.82
0.81
1.20
0.43
−.98
−.40
.58
1.75
3.76
  Teachers treat me fairly
1.04
1.06
.95
−0.19
−1.15
−.47
.24
1.39
3.27
  Teachers care about me
0.89
0.86
1.11
−0.28
−1.33
−.63
.19
1.26
3.06
  Teachers care about my learning
1.16
1.17
.92
−1.22
−1.58
−1.02
−.39
.61
2.45
 Active coping
  Talk to the teacher
1.13
1.15
.83
0.49
−.39
.01
.41
1.12
2.41
  Tell myself things will get better
0.88
0.90
1.13
0.10
−.99
−.26
.27
1.01
2.24
  Try to see the good in the situation
0.89
0.89
1.14
0.04
−1.09
−.25
.28
.99
2.26
  Think of ways to fix the problem
1.07
1.08
.91
0.03
−.87
−.25
.27
.96
2.20
  Turn to family/other adults
0.92
0.91
1.11
−0.14
−.96
−.32
.14
.79
1.93
  Keep feelings under control
1.09
1.10
.89
−0.25
−.95
−.41
.18
.83
1.84
  Calm myself down
1.01
1.01
1.00
−0.26
−1.00
−.37
.09
.76
1.86
Risk avoidance
 Aggression/bullying
  Picked on other kids
1.04
0.93
.96
0.40
−.14
.23
.59
1.04
2.27
  Threatened to hurt someone
0.89
0.79
1.08
0.17
−.18
.03
.40
.86
2.14
  Physically attacked someone
1.01
0.93
.94
−0.17
−.55
−.18
.26
.80
1.97
  Destroyed things
1.06
1.08
1.00
−0.40
−.40
.07
.26
.76
2.05
 Peer hostility/bullying-victim
  Afraid of other boys and girls
1.38
1.33
0.66
−0.84
−1.48
−.75
.07
1.33
3.01
  Other made fun of you
0.84
0.81
1.17
0.82
−1.09
−.18
.81
1.95
3.80
  Others bullied you
0.76
0.74
1.19
−0.28
−1.68
−.77
.14
1.06
3.10
Subjective well-being
 Life satisfaction
  Enjoyable life
0.94
0.93
1.09
0.31
−.89
−.48
.69
2.30
4.51
  Feel happy
1.00
1.02
.98
0.24
−1.95
−.79
.88
2.47
4.75
  Satisfied with life
0.91
0.92
1.11
0.14
−.80
−.57
.52
2.11
4.29
  Have fun
1.04
1.02
.95
−0.13
−1.70
−.68
.53
2.19
4.15
  Pleased to be alive
1.12
1.18
.92
−0.57
−1.39
−.77
.20
1.41
3.49
 Self-worth
  Proud of yourself
1.02
1.01
.98
0.09
−2.30
−1.21
.49
2.21
4.21
  Happy with the way you are
1.06
1.04
.94
−0.01
−1.96
−.88
.39
1.87
3.82
  Like yourself
0.90
0.87
1.12
−0.07
−2.10
−1.04
.34
1.75
3.73
 Body image
  Happy with body
1.04
1.02
.96
0.56
−.24
.13
.67
1.14
2.18
  Worried about appearance
0.95
0.91
1.08
0.27
−.53
.09
.47
1.04
2.13
  Like how you look
1.06
1.05
.90
0.12
−.70
−.20
.49
1.09
2.11
  Jealous of how others look
0.88
0.85
1.08
−0.25
−.94
−.25
.25
.69
1.71
  Happy with clothes
1.09
1.08
.92
−0.69
−1.26
−.42
.11
.74
1.71
Achievement
 Academic performance
  Grades
1.08
1.14
0.93
0.47
−.87
.06
.65
1.67
3.50
  Remembering things learned
1.16
1.16
0.81
0.30
−.70
−.12
.68
1.62
2.97
  Math performance
0.99
0.96
1.02
0.10
−.89
−.25
.50
1.43
2.84
  Reading performance
1.14
1.12
0.84
−0.02
−1.08
−.26
.57
1.52
2.85
  Homework performance
0.89
0.86
1.13
−0.30
−1.41
−.56
.21
1.25
2.72
  Schoolwork performance
0.70
0.69
1.33
−0.56
−2.59
−.91
.08
1.33
3.06
 School engagement
  Bored at school
1.20
1.20
.87
0.59
−2.14
−.75
.34
1.31
2.95
  Excited by school work
0.84
0.82
1.18
0.12
−2.75
−1.10
.05
1.25
2.62
  Interest in school work
0.84
0.84
1.17
−0.30
−3.26
−1.51
−.26
1.12
2.53
  Look forward to school
1.09
1.07
.90
−0.42
−2.89
−1.36
−.30
.88
1.94

Differential item functioning

The item difficulty contrast by gender was statistically significant for a single item on the Vitality scale, “How often do you feel really strong?” (contrast = −.45, P < .0001) (Fig. 1). When boys and girls had comparable levels of vitality, boys were more likely than girls to indicate that they had a high degree of body strength. In contrast, modest although sub-threshold DIF was observed for two other items on the Vitality scale, “How often do you feel really healthy?” (contrast = .23) and “How is your health?” (contrast = .31). Because both of these items were slightly easier for girls than for boys, the detected DIF of Vitality items essentially did not change the total test score level due to cancellation across items with DIF in opposing directions [34]. Figure 2 displays the test characteristic curve (the expected scale score as a function of Θ) for the Vitality scale. The expected scale score did not substantially differ between boys and girls across the full range of the construct.
No significant differential item functioning was observed by grade level, mode of survey administration, or geographic location.

Construct validity

Table 4 shows differences in the Healthy Pathway scale scores among children by gender, school type (elementary vs. middle), and presence of a special healthcare need, asthma, and ADHD. Scale score means and standard deviations for the subgroups are presented in “Appendix B”. These results are consistent with previously reported group differences [3440].
Table 4
Known group comparisons (effect sizes) of Healthy Pathways scale scores by gender, school type, special health care need (SHCN), asthma, and attention deficit hyperactivity disorder (ADHD)
 
Gender
Elementary versus middle
SHCN
Asthma
ADHD
Physical comfort
  
−0.21
−0.39
−0.25
Emotional comfort
0.36
   
−0.24
Reactions to stress
    
−0.28
Physical activity
0.47
    
Vitality
0.25
0.32
   
Peer connectedness
  
−0.24
 
−0.36
Family connectedness
  
−0.24
  
Teacher connectedness
 
0.21
  
−0.22
Active coping
−0.33
    
Aggression/bullying
−0.32
    
Peer hostility/bully victim
  
−0.20
 
−0.35
Life satisfaction
  
−0.27
  
Self-worth
     
Body image
0.40
    
Academic performance
 
0.31
−0.29
 
−0.50
School engagement
−0.34
0.27
   
Positive effect sizes indicate that boys, elementary school students, and children with a special health care need, or specific disorder experience more positive health. Note that all scale scores are coded so that higher values indicate greater health and well-being, and less illness. Effect sized <.20 were omitted

Discussion

This study described the development and psychometric validation of the Healthy Pathways Child-Report Scales. Based primarily on the CHIP, the scales merged the child and adolescent editions of the CHIP with the intent of improving the measurement of self-assessed health, illness, and well-being among children transitioning into adolescence. We employed modern measurement techniques in the development and validation of the scales because these methods provide essential information about the degree to which items cover a full range of underlying latent constructs without redundancy, support the identification of items that are biased against subgroups in the population, and provide the foundation for the development of item banking and computerized adaptive tests. With the exception of the KIDSCREEN [27], the Healthy Pathways Child-Report Scales are the only broad self-reported child health instrument that has been developed using modern measurement techniques.
Our findings demonstrate that 16 of the 17 Healthy Pathways Child-Report Scales are reliable, simultaneously comprehensive and efficient, and free of gender, age, modality, and geographic location bias. The scales are meaningful in that they are effective at differentiating children based on gender, age, and presence of a long-term medical condition. Consistent with prior research, boys were more likely than girls to experience emotional comfort [38] and positive body image [36, 37] and to engage in physical activity [39] and aggressive behavior [43, 44]. Conversely, girls were more likely to employ active coping strategies such as seeking support from family or friends to deal with a stressful situation [45]. Girls also reported higher levels of school engagement than boys.
Children with a special healthcare need (SHCN) reported modestly poorer physical comfort, vitality, life satisfaction, and peer interactions as evidenced by both reports of connectedness with peers and the frequency with which they are bullied, findings that are similar to other studies [27, 46]. Similar findings were evidenced for children with ADHD and as expected, these children experienced many health challenges [35, 47]. As expected, children with asthma experienced poorer physical comfort but did not differ from children without asthma on other indicates of health, illness, and well-being [4850].
The development of item banks for children and youth is in its nascent stages of development [51, 52]. With this ultimate goal in mind, we believe that the Healthy Pathway scales will be expanded and modified over the next several years. We are publishing all the items, their characteristics, and the scale psychometrics to engage other investigators in this process. Our findings suggest several potential areas for future development. For example, the balanced nutrition items were only minimally inter-correlated, suggesting that this scale may represent more than one latent construct (e.g., positive and negative nutrition behaviors). The nutrition items in the original CHIP were treated as an index, because they did not behave as a scale empirically [14]. Multiple dimensions of dietary behavior may emerge with the addition of other items including those pertaining to the ingestion of fast food or whole grains, or eating habits such as partaking in family meals [53].
The 3-item peer hostility scale may be strengthened with the addition of items that assess indirect or relational bullying such as spreading rumors or purposefully excluding someone. These experiences are associated with social and emotional problems, particularly among girls [44, 54, 55]. Expanding the peer hostility scale to include more commonly experienced types of bullying is also needed to reduce the scale’s ceiling effect. Similarly, the aggression/bullying scale should be supplemented with items indicative of less severe problems. Ceiling effects should also be addressed for the self-worth, life satisfaction, and body image subscales by adding items indicative of extreme well-being, which are more likely to be endorsed with moderate responses (e.g., sometimes). Finally, although the majority of items were derived from validated instruments for which the items have undergone extensive cognitive testing (e.g., CHIP, KIDSCREEN), some items, particularly those that assess teacher connectedness and school engagement, could be improved through formal cognitive debriefing.
The Healthy Pathways measurement model will almost certainly be extended in the future to comprehensively assess the increasingly complex internal and social experiences of adolescents. Additional components of an adolescent health framework may include satisfaction with work/occupation (which was included in the adolescent edition of the CHIP), sexual self-concept, and connectedness with non-parent or non-teacher adults (e.g., coach or mentor). An advantage of our approach to developing independent unidimensional scales is that additional scales may be added to the measurement system without reevaluating the original scales.
Finally, although scales were found to be free of bias based on gender, age, administration modality, and geographic location, future efforts should include attempts to validate the scales among race/ethnic minorities and urban residents. Item functioning should also be evaluated among children of a broader age range.
The Healthy Pathways Child-Report Scales represent a significant advance in the conceptualization and measurement of child health, illness, and well-being. Because the scales were developed using IRT methods, it is possible to obtain estimates of constructs that are independent of the particular set of items administered [11]. Thus, future development of the scales will include the addition of items to maximize coverage of the underlying health constructs, resulting in the creation of expanded item banks and computerized adaptive test versions of the instruments, which are increasingly recognized as the preferred strategies for assessing outcomes in clinical effectiveness research [31, 51, 52].

Acknowledgments

The project described was supported by Grant Number R01HD048850 from the National Institute of Child Health and Human Development. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Child Health and Human Development or the National Institutes of Health.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Open AccessThis is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://​creativecommons.​org/​licenses/​by-nc/​2.​0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

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Appendix A

See Table 5.
Table 5
Healthy Pathways Child-Report Scales items, response categories, source instruments, and descriptive statistics
Scale/item
Response categories
Source instruments
Item descriptive statistics
CHIP-CE
CHIP-AE
Other
Floor (%)
Ceiling (%)
Mean (SD)
Physical comfort
 In the past 4 weeks, how often did you wake up feeling tired?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
 
27.4
9.7
2.6 (1.3)
 In the past 4 weeks, how often did you have a cough?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
7.6
18.3
3.3 (1.1)
 In the past 4 weeks, how often did you have trouble falling or staying asleep?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
9.1
38.6
3.7 (1.3)
 In the past 4 weeks, how often did you have pain that really bothered you?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
4.5
32.5
3.7 (1.1)
 In the past 4 weeks, how often did you have a head ache?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
3.5
27.0
3.6 (1.1)
 In the past 4 weeks, how often did you have a bad stomach ache?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
2.3
32.3
3.8 (1.0)
 In the past 4 weeks, how often did you have a sore throat?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
0.8
41.3
4.0 (1.0)
 In the past 4 weeks, how often did you have trouble breathing?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
1.3
70.6
4.5 (0.9)
Emotional comfort
 In the past 4 weeks, how often did you feel grouchy?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
6.1
24.3
3.5 (1.1)
 In the past 4 weeks, how often were you moody?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
5.9
34.1
3.7 (1.2)
 In the past 4 weeks, how often did you have trouble relaxing?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
5.6
42.3
3.9 (1.2)
 In the past 4 weeks, how often did you feel really worried?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
3.5
39.4
3.9 (1.1)
 In the past 4 weeks, how often did you feel really sad?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
3.0
42.1
4.0 (1.1)
 In the past 4 weeks, how often did you feel nervous?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
2.2
35.6
3.9 (1.0)
 In the past 4 weeks, how often did you feel afraid?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
 
1.5
58.4
4.3 (0.9)
Negative stress reactions
 Thoughts about the problems would just pop into my head.
Very Likely (1)-Likely (2)-Somewhat Likely (3)-Unlikely (4)-Very Unlikely (5)
  
a
16.3
13.0
2.9 (1.3)
 It’s really hard for me to concentrate or pay attention when I have problems in class.
Very Likely (1)-Likely (2)-Somewhat Likely (3)-Unlikely (4)-Very Unlikely (5)
  
a
14.5
19.6
3.2 (1.3)
 When I try to sleep, I would not be able to stop thinking about the problem.
Very Likely (1)-Likely (2)-Somewhat Likely (3)-Unlikely (4)-Very Unlikely (5)
  
a
14.5
23.2
3.3 (1.4)
 When things get bad in school, I can get so upset that I can’t remember what happened or what I did.
Very Likely (1)-Likely (2)-Somewhat Likely (3)-Unlikely (4)-Very Unlikely (5)
  
a
11.5
32.1
3.5 (1.4)
 My mind would go blank I wouldn’t be able to think at all.
Very Likely (1)-Likely (2)-Somewhat Likely (3)-Unlikely (4)-Very Unlikely (5)
  
a
8.8
32.2
3.6 (1.3)
Physical activity
 In the past 4 weeks, how often did you do exercises to strengthen or tone your muscles, such as push-ups, sit-ups, or weight lifting?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
b
5.9
22.3
3.5 (1.1)
 In the past 4 weeks, how often did you play hard enough to start sweating and breathing hard?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
 
5.5
32.3
3.8 (1.1)
 In the past 4 weeks, how often did you run hard when you played or did sports?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
3.3
40.2
4.0 (1.0)
 In the past 4 weeks, how often did you play active games or sports?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
2.3
44.1
4.1 (1.0)
Vitality
 How much of the time do you feel physically fit?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
4.4
29.6
3.8 (1.1)
 How often do you feel really strong?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
2.4
27.3
3.8 (1.0)
 How often do you feel really healthy?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
 
1.5
36.2
4.0 (0.9)
 How is your health?
Poor (1)-Fair (2)-Good (3)-Very Good (4)-Excellent (5)
  
1.4
41.2
4.1 (1.0)
 How much of the time do you feel full of energy?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
1.2
37.7
4.1 (0.9)
Peer connectedness
 Thinking about the past 4 weeks, have you been able to talk about everything with your friends?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
7.8
27.2
3.6 (1.2)
 Thinking about the past 4 weeks, have you been able to rely on your friends?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
4.3
40.8
4.0 (1.1)
 How good are you at making friends?
Poor (1)-Fair (2)-Good (3)-Very Good (4)-Excellent (5)
  
4.1
45.9
4.1 (1.1)
 Thinking about the past 4 weeks, have you spent time with your friends?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
2.9
37.5
4.0 (1.0)
 Thinking about the past 4 weeks, have you and your friends helped each other?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
3.1
40.5
4.0 (1.0)
 Thinking about the past 4 weeks, have you had fun with your friends?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
2.4
57.2
4.3 (0.9)
 How often do you get along well with your friends?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
1.1
37.7
4.2 (0.8)
 How many friends do you have?
None (1)-Very Few (2)-Some (3)-Many (4)-Very Many (5)
  
0.8
52.9
4.3 (0.9)
Family connectedness
 In the past 4 weeks, how often did you talk to your parents about what you are going to do the next day?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
17.8
20.7
3.2 (1.4)
 In the past 4 weeks, how often did your parents talk to you about how you are feeling?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
14.9
23.6
3.3 (1.3)
 In the past 4 weeks, how often did your parents spend time with you doing something fun?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
 
 
7.7
28.5
3.6 (1.2)
 In the past 4 weeks, how often did your parents help you with your school work?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
new
11.9
43.1
3.7 (1.4)
 In the past 4 weeks, how often did your parents listen to your ideas?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
 
 
7.3
35.0
3.7 (1.2)
 In the past 4 weeks, how often did your parents eat meals with you?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
 
 
5.0
55.6
4.2 (1.2)
 Thinking about the past 4 weeks, have your parents treated you fairly?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
2.9
57.0
4.3 (1.0)
 In the past 4 weeks, how often did you get along well with your parents?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
 
 
1.5
42.8
4.1 (0.3)
Teacher connectedness
 In the past 4 weeks, on how many days did teachers at your school have enough time for you?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
new
5.3
28.9
3.7 (1.2)
 In the past 4 weeks, on how many days did teachers at your school, listen to your suggestions?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
d*
6.1
33.5
3.8 (1.2)
 In the past 4 weeks, on how many days did teachers at your school, respect your ideas and opinions?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
e*
5.3
34.1
3.8 (1.1)
 In the past 4 weeks, on how many days did teachers at your school, treat you fairly?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
f*
2.6
45.1
4.1 (1.0)
 In the past 4 weeks, on how many days did teachers at your school care about you as a person?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
f*
2.9
53.9
4.2 (1.1)
 In the past 4 weeks, on how may days did teachers at your school, care about your learning?
No days (1)-Very few days (2)-Some days (3)-Almost every day (4)-Every day (5)
  
new
1.2
76.0
4.6 (0.8)
Active coping
 I would talk with the teacher or someone else who could help
Very Unlikely (1)-Unlikely (2)-Somewhat Likely (3)-Likely (4)-Very Likely (5)
 
12.7
21.4
3.3 (1.3)
 I would tell myself that things will get better
Very Unlikely (1)-Unlikely (2)-Somewhat Likely (3)-Likely (4)-Very Likely (5)
  
a
6.6
24.4
3.6 (1.2)
 I would try to see the good that could out of the situation
Very Unlikely (1)-Unlikely (2)-Somewhat Likely (3)-Likely (4)-Very Likely (5)
 
5.5
24.5
3.6 (1.1)
 I would try to think of ways to fix the problem or change the situation
Very Unlikely (1)-Unlikely (2)-Somewhat Likely (3)-Likely (4)-Very Likely (5)
  
a
5.6
24.2
3.6 (1.1)
 I would turn to my family or other adults to help me feel better
Very Unlikely (1)-Unlikely (2)-Somewhat Likely (3)-Likely (4)-Very Likely (5)
 
6.3
35.5
3.8 (1.2)
 I would keep my feelings under control when I needed to
Very Unlikely (1)-Unlikely (2)-Somewhat Likely (3)-Likely (4)-Very Likely (5)
  
a
4.7
34.1
3.8 (1.1)
 I would try to calm myself down
Very Unlikely (1)-Unlikely (2)-Somewhat Likely (3)-Likely (4)-Very Likely (5)
 
5.1
36.4
3.9 (1.3)
Aggression/Bullying
 When was the last time you picked on other kids at school?
In the past week (1)-In the past month (2)-In the past year (3)-More than a year ago (4)-Never (5)
  
8.1
66.3
4.2 (1.3)
 When was the last time you told someone at school you were going to hurt them?
In the past week (1)-In the past month (2)-In the past year (3)-More than a year ago (4)-Never (5)
  
7.2
74.6
4.4 (1.2)
 When was the last time you physically attacked someone at school?
In the past week (1)-In the past month (2)-In the past year (3)-More than a year ago (4)-Never (5)
 
 
3.7
79.1
4.5 (1.1)
 When was the last time you destroyed something belonging to someone else at school?
In the past week (1)-In the past month (2)-In the past year (3)-More than a year ago (4)-Never (5)
  
2.6
81.8
4.4 (0.8)
Peer hostility/Bullying-victim
 Thinking about the past four weeks, have you been afraid of other girls and boys?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
c
2.8
65.9
4.4 (3.9)
 Thinking about the past four weeks, have other girls and boys made fun of you?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
c
8.1
43.4
3.9 (1.7)
 Thinking about the past four weeks, have other girls and boys bullied you?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
c
4.4
67.0
4.4 (1.1)
Life satisfaction
 Thinking about the past 4 weeks, has your life been enjoyable?
Not at all (1)-slightly (2)-moderately (3)-Very (4)-extremely (5)
  
c
1.6
38.5
4.1 (0.9)
 How often do you feel happy?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
1.0
30.7
4.0 (0.8)
 How much of the time do you feel satisfied with your life?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
 
 
1.7
45.4
4.2 (0.9)
 How often do you have a lot of fun?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
1.0
45.5
4.2 (0.9)
 Thinking about the past 4 weeks, have you felt pleased that you are alive?
Not at all (1)-slightly (2)-moderately (3)-Very (4)-extremely (5)
  
c
1.5
70.7
4.5 (0.8)
Self-worth
 How often are you really proud of yourself?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
 
2.3
30.3
3.9 (1.0)
 Thinking about the past 4 weeks, have you been happy with the way you are?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
3.6
41.7
4.0 (1.1)
 How often do you really like yourself?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
 
3.9
46.0
4.1 (1.1)
Body image
 Thinking about the past 4 weeks, have you felt like changing something about your body
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
16.6
37.4
3.5 (1.7)
 Thinking about the past 4 weeks, have you been worried about the way you look?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
c
9.6
40.1
3.7 (1.3)
 How often do you really like the way you look?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
6.0
34.5
3.8 (1.2)
 Thinking about the past 4 weeks, have you felt jealous of the way other girls and boys look?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
c
6.3
60.9
4.2 (1.2)
 Thinking about the past 4 weeks, have you been happy with your clothes?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
c
2.1
55.2
4.3 (1.0)
Academic performance
 During the past 12 months, how would you describe your grades in school?
Below Average (D’s or F’s) (1)- Average (C’s) (2)- Good (B’s) (3)- Very Good (A’s & B’s) (4)- Excellent (A’s) (5)
  
b*
3.3
18.4
3.7 (1.0)
 In the past 4 weeks, how good were you at remembering things you learned in school?
Poor (1)-Fair (2)-Good (3)-Very Good (4)-Excellent (5)
  
4.2
29.7
3.8 (1.1)
 In the past 4 weeks, how did you do in math?
Poor (1)-Fair (2)-Good (3)-Very Good (4)-Excellent (5)
  
4.0
37.8
3.9 (1.1)
 In the past 4 weeks, how did you do in reading?
Poor (1)-Fair (2)-Good (3)-Very Good (4)-Excellent (5)
  
2.4
33.5
3.9 (1.0)
 In the past 4 weeks, how did you do on your homework?
Poor (1)-Fair (2)-Good (3)-Very Good (4)-Excellent (5)
  
2.1
42.5
4.1 (1.0)
 In the past 4 weeks, how did you do in your schoolwork?
Poor (1)-Fair (2)-Good (3)-Very Good (4)-Excellent (5)
  
0.8
33.9
4.1 (0.8)
School engagement
 In the past 4 weeks, how often did you feel bored in school?
Always (1)-Almost Always (2)-Sometimes (3)-Almost Never (4)-Never (5)
  
g
22.9
9.2
2.6 (1.2)
 In the past 4 weeks, how often did you feel excited by the work in school?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
g
18.3
12.0
2.9 (1.2)
 In the past 4 weeks, how often were you interested in the work at school?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
g
12.0
12.9
3.1 (1.2)
 In the past 4 weeks, how often did you look forward to going to school?
Never (1)-Almost Never (2)-Sometimes (3)-Almost Always (4)-Always (5)
  
d*
14.9
20.4
3.0 (1.0)
The wording of Healthy Pathways items and/or response categories may differ slightly from those included on the CHIP-CE and CHIP-AE. Instruments from which “other” items were derived include:
a[16]
b[56]
c[57]
d[58]
e[59]
f[28]
g[60]
* Minor modifications were made to items or response categories derived from “other” instruments

Appendix B

See Table 6.
Table 6
Descriptive statistics and known group comparisons (effect sizes) for the Healthy Pathways scales by gender, school type, special health care need (SHCN), asthma, and attention deficit hyperactivity disorder (ADHD)
 
Gender
School type
SHCN
Asthma
ADHD
Boys
Girls
ES
Elem
Mid
ES
Yes
No
ES
Yes
No
ES
Yes
No
ES
Mean (SD)
Mean (SD)
Mean (SD)
Mean (SD)
Mean (SD)
Mean (SD)
Mean (SD)
Mean (SD)
Mean (SD)
Mean (SD)
Physical comfort
3.71 (0.67)
3.59 (0.67)
 
3.67 (0.69)
3.61 (0.63)
 
3.58 (0.69)
3.72 (0.65)
−0.21
3.46 (0.72)
3.70 (0.65)
−0.39
3.54 (0.75)
3.69 (0.65)
−0.25
Emotional comfort
4.03 (0.70)
3.77 (0.75)
0.36
3.90 (0.73)
3.89 (0.74)
 
3.85 (0.77)
3.95 (0.71)
 
3.84 (0.74)
3.92 (0.73)
 
3.77 (0.82)
3.93 (0.72)
−0.24
Reactions to stress
3.32 (0.70)
3.29 (0.95)
 
3.28 (0.96)
3.34 (0.93)
 
3.27 (0.96)
3.37 (0.91)
 
3.25 (0.94)
3.35 (0.93)
 
3.11 (0.98)
3.37 (0.92)
−0.28
Physical activity
4.05 (0.95)
3.67 (0.80)
0.47
3.88 (0.80)
3.80 (0.81)
 
3.79 (0.89)
3.89 (0.75)
 
3.84 (0.82)
3.86 (0.79)
 
3.79 (0.90)
3.86 (0.78)
 
Vitality
4.05 (0.77)
3.87 (0.69)
0.25
4.02 (0.68)
3.81 (0.70)
0.32
3.86 (0.74)
4.03 (0.65)
 
3.84 (0.70)
3.99 (0.68)
 
3.96 (0.74)
3.97 (0.67)
 
Peer connectedness
4.01 (0.74)
4.08 (0.71)
 
4.04 (0.75)
4.06 (0.68)
 
3.93 (0.79)
4.11 (0.67)
−0.24
4.02 (0.70)
4.05 (0.72)
 
3.81 (0.88)
4.08 (0.69)
−0.36
Family connectedness
3.72 (0.86)
3.78 (0.83)
 
3.78 (0.85)
3.67 (0.83)
 
3.67 (0.88)
3.80 (0.80)
−0.24
3.73 (0.86)
3.76 (0.84)
 
3.67 (0.88)
3.76 (0.84)
 
Teacher connectedness
3.97 (0.84)
4.10 (0.77)
 
4.09 (0.80)
3.91 (0.81)
0.21
3.99 (0.83)
4.08 (0.77)
 
4.02 (0.83)
4.05 (0.79)
 
3.90 (0.87)
4.07 (0.84)
−0.22
Active coping
3.51 (0.83)
3.78 (0.78)
−0.33
3.69 (0.82)
3.53 (0.80)
 
3.56 (0.86)
3.71 (0.76)
 
3.63 (0.85)
3.66 (0.80)
 
3.45 (0.91)
3.68 (0.78)
 
Aggression/bullying
4.29 (0.91)
4.56 (0.75)
−0.32
4.47 (0.82)
4.32 (0.89)
 
4.42 (0.86)
4.47 (0.81)
 
4.38 (0.88)
4.46 (0.82)
 
4.34 (0.93)
4.47 (0.81)
 
Peer hostility/bully victim
4.29 (0.88)
4.12 (0.95)
 
4.22 (0.92)
4.18 (0.91)
 
4.11 (1.00)
4.29 (0.83)
−0.20
4.14 (1.01)
4.25 (0.88)
 
3.95 (1.10)
4.27 (0.86)
−0.35
Life satisfaction
4.23 (0.70)
4.18 (0.67)
 
4.24 (0.67)
4.13 (0.72)
 
4.07 (0.78)
4.26 (0.63)
−0.27
4.13 (0.71)
4.20 (0.69)
 
4.08 (0.81)
4.21 (0.67)
 
Self-worth
4.01 (0.85)
3.94 (0.87)
 
4.00 (0.85)
3.92 (0.86)
 
3.87 (0.89)
4.03 (0.81)
 
3.87 (0.91)
4.00 (0.83)
 
3.86 (0.95)
4.00 (0.82)
 
Body image
4.05 (0.77)
3.69 (0.94)
0.40
3.92 (0.87)
3.77 (0.88)
 
3.82 (0.89)
3.90 (0.85)
 
3.80 (0.90)
3.89 (0.86)
 
3.81 (0.95)
3.89 (0.85)
 
Academic performance
3.86 (0.76)
3.96 (0.69)
 
3.99 (0.70)
3.76 (0.77)
0.31
3.82 (0.74)
4.02 (0.68)
−0.29
3.97 (0.64)
3.95 (0.72)
 
3.64 (0.78)
3.99 (0.69)
−0.50
School engagement
2.79 (1.00)
3.14 (0.97)
−0.34
3.03 (1.03)
2.81 (0.92)
0.27
2.90 (1.04)
3.01 (0.98)
 
2.91 (0.98)
2.98 (1.00)
 
2.94 (1.07)
2.98 (0.99)
 
Positive effect sizes indicate that boys, elementary school students, and children with a special health care need, or specific disorder experience more positive health. Note that all scale scores are coded so that higher values indicate greater health and well-being, and less illness. Effect sized <.20 were omitted
Literatuur
1.
go back to reference National Research Council and the Institute of Medicine. (2004). Children’s health, the nation’s wealth: Assessing and improving child health. Washington, DC: The National Academies Press. National Research Council and the Institute of Medicine. (2004). Children’s health, the nation’s wealth: Assessing and improving child health. Washington, DC: The National Academies Press.
2.
go back to reference Altshuler, S. J., & Poertner, J. (2002). The child health and illness profile—adolescent edition: Assessing well-being in group homes or institutions. Child Welfare, LXXXI(3), 495–513. Altshuler, S. J., & Poertner, J. (2002). The child health and illness profile—adolescent edition: Assessing well-being in group homes or institutions. Child Welfare, LXXXI(3), 495–513.
3.
go back to reference Forrest, C. B., Tambor, E., Riley, A. W., Ensminger, M. E., & Starfield, B. (2000). The health profile of incarcerated male youths. Pediatrics, 105(1), 286–291.PubMed Forrest, C. B., Tambor, E., Riley, A. W., Ensminger, M. E., & Starfield, B. (2000). The health profile of incarcerated male youths. Pediatrics, 105(1), 286–291.PubMed
4.
go back to reference Hack, M., Cartar, L., Schluchter, M., Klein, N., & Forrest, C. B. (2007). Self-perceived health, functioning and well-being of very low birth weight infants at age 20 years. Journal of Pediatrics, 151(6), 635–641.CrossRefPubMed Hack, M., Cartar, L., Schluchter, M., Klein, N., & Forrest, C. B. (2007). Self-perceived health, functioning and well-being of very low birth weight infants at age 20 years. Journal of Pediatrics, 151(6), 635–641.CrossRefPubMed
5.
go back to reference Starfield, B., Riley, A. W., Witt, W. P., & Robertson, J. (2002). Social class gradients in health during adolescence. Journal of Epidemiology and Community Health, 56(5), 354–361.CrossRefPubMed Starfield, B., Riley, A. W., Witt, W. P., & Robertson, J. (2002). Social class gradients in health during adolescence. Journal of Epidemiology and Community Health, 56(5), 354–361.CrossRefPubMed
6.
go back to reference Starfield, B., & Riley, A. W. (1998). Profiling health and illness in children and adolescents. Mahwah, NJ: Lawrence Erlbaum Associates. Starfield, B., & Riley, A. W. (1998). Profiling health and illness in children and adolescents. Mahwah, NJ: Lawrence Erlbaum Associates.
7.
go back to reference Starfield, B., Robertson, J., & Riley, A. W. (2002). Social class gradients and health in childhood. Journal of Ambulatory Pediatrics, 2(4), 238–246.CrossRef Starfield, B., Robertson, J., & Riley, A. W. (2002). Social class gradients and health in childhood. Journal of Ambulatory Pediatrics, 2(4), 238–246.CrossRef
8.
go back to reference Berra, S., Borrell, C., Rajmil, L., Estrada, M. D., Rodriguez, M., & Riley, A. W. (2006). Perceived health status and use of healthcare services among children and adolescents. European Journal of Public Health, 16(4), 405–414.CrossRefPubMed Berra, S., Borrell, C., Rajmil, L., Estrada, M. D., Rodriguez, M., & Riley, A. W. (2006). Perceived health status and use of healthcare services among children and adolescents. European Journal of Public Health, 16(4), 405–414.CrossRefPubMed
9.
go back to reference Rajmil, L., Serra-Sutton, V., Alonso, J., Herdman, M., Riley, A., & Starfield, B. (2003). Validity of the Spanish version of the child health and illness profile-adolescent edition (CHIP-AE). Medical Care, 41(10), 1153–1163.CrossRefPubMed Rajmil, L., Serra-Sutton, V., Alonso, J., Herdman, M., Riley, A., & Starfield, B. (2003). Validity of the Spanish version of the child health and illness profile-adolescent edition (CHIP-AE). Medical Care, 41(10), 1153–1163.CrossRefPubMed
10.
go back to reference Riley, A. W., Chan, S. K., Prasad, S., & Poole, L. (2007). A global measure of child health-related quality of life: Reliability and validity of the child health and illness profile—child edition (CHIP-CE) global score. Journal of Medical Economics, 10(1), 91–106.CrossRef Riley, A. W., Chan, S. K., Prasad, S., & Poole, L. (2007). A global measure of child health-related quality of life: Reliability and validity of the child health and illness profile—child edition (CHIP-CE) global score. Journal of Medical Economics, 10(1), 91–106.CrossRef
11.
go back to reference Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage. Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage.
12.
go back to reference Hays, R. D., Morales, L. S., & Reise, S. P. (2000). Item response theory and health outcomes measurement in the 21st century. Medical Care, 38(9 suppl), II-28–II-48. Hays, R. D., Morales, L. S., & Reise, S. P. (2000). Item response theory and health outcomes measurement in the 21st century. Medical Care, 38(9 suppl), II-28–II-48.
13.
go back to reference Riley, A. W., Forrest, C. B., Rebok, G. W., Starfield, B., Green, B. F., Robertson, J. A., et al. (2004). The child report form of the CHIP-child edition: Reliability and validity. Medical Care, 42(3), 221–231.CrossRefPubMed Riley, A. W., Forrest, C. B., Rebok, G. W., Starfield, B., Green, B. F., Robertson, J. A., et al. (2004). The child report form of the CHIP-child edition: Reliability and validity. Medical Care, 42(3), 221–231.CrossRefPubMed
14.
go back to reference Starfield, B., Riley, A., Breen, B., Ensminger, M., Ryan, S., & Kelleher, K. (1995). The adolescent child health and illness profile: A population-based measure of health. Medical Care, 33(5), 553–566.CrossRefPubMed Starfield, B., Riley, A., Breen, B., Ensminger, M., Ryan, S., & Kelleher, K. (1995). The adolescent child health and illness profile: A population-based measure of health. Medical Care, 33(5), 553–566.CrossRefPubMed
15.
go back to reference Seedhouse, D. (1986). Health: The foundation of achievement. Chichester, UK: Wiley. Seedhouse, D. (1986). Health: The foundation of achievement. Chichester, UK: Wiley.
16.
go back to reference Connor-Smith, J. K., Compas, B. E., Wadsworth, M. E., Thomsen, A. H., & Saltzman, H. (2000). Responses to stress in adolescence: Measurement of coping and involuntary stress responses. Journal of Consulting and Clinical Psychology, 68(6), 976–992.CrossRefPubMed Connor-Smith, J. K., Compas, B. E., Wadsworth, M. E., Thomsen, A. H., & Saltzman, H. (2000). Responses to stress in adolescence: Measurement of coping and involuntary stress responses. Journal of Consulting and Clinical Psychology, 68(6), 976–992.CrossRefPubMed
17.
go back to reference Compas, B. E., Connor-Smith, J. K., Saltzman, H., Thomsen, A. H., & Wadsworth, M. E. (2001). Coping with stress during childhood and adolescence: Problems, progress, and potential in theory and research. Psychological Bulletin, 127(1), 87–127.CrossRefPubMed Compas, B. E., Connor-Smith, J. K., Saltzman, H., Thomsen, A. H., & Wadsworth, M. E. (2001). Coping with stress during childhood and adolescence: Problems, progress, and potential in theory and research. Psychological Bulletin, 127(1), 87–127.CrossRefPubMed
18.
go back to reference Kliewer, W., Reid-Quinones, K., Shields, B. J., & Foutz, L. (2009). Multiple risks, emotional regulation skills, and cortisol among low-income African American youth: A prospective study. Journal of Black Psychology, 35(1), 24–43.CrossRef Kliewer, W., Reid-Quinones, K., Shields, B. J., & Foutz, L. (2009). Multiple risks, emotional regulation skills, and cortisol among low-income African American youth: A prospective study. Journal of Black Psychology, 35(1), 24–43.CrossRef
19.
go back to reference Sontag, L. M., Graber, J. A., Brooks-Gunn, J., & Warren, M. P. (2008). Coping with social stress: Implications for psychopathology in young adolescent girls. Journal of Abnormal Child Psychology, 36(8), 1159–1174.CrossRefPubMed Sontag, L. M., Graber, J. A., Brooks-Gunn, J., & Warren, M. P. (2008). Coping with social stress: Implications for psychopathology in young adolescent girls. Journal of Abnormal Child Psychology, 36(8), 1159–1174.CrossRefPubMed
20.
go back to reference Luthar, S. S. (2006). Resilience in development: A synthesis of research across five decades. In D. Cicchetti & D. J. Cohen (Eds.), Developmental psychopathology: Risk, disorder and adaptation (pp. 739–795). New York: Wiley. Luthar, S. S. (2006). Resilience in development: A synthesis of research across five decades. In D. Cicchetti & D. J. Cohen (Eds.), Developmental psychopathology: Risk, disorder and adaptation (pp. 739–795). New York: Wiley.
21.
go back to reference Birch, S., & Ladd, G. (1998). Children’s interpersonal behaviors and the teacher–child relationship. Developmental Psychology, 34(5), 934–946.CrossRefPubMed Birch, S., & Ladd, G. (1998). Children’s interpersonal behaviors and the teacher–child relationship. Developmental Psychology, 34(5), 934–946.CrossRefPubMed
22.
go back to reference Fredricks, J. A., Blumenfield, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.CrossRef Fredricks, J. A., Blumenfield, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.CrossRef
23.
go back to reference Cohen, S., & McKay, G. (1984). Social support, stress and the buffering hypothesis: A theoretical analysis. In A. Baum, E. Taylor, & J. E. Singer (Eds.), Handbook of psychology and health: Social psychological aspects of health (pp. 253–277). Hillsdale, NJ: Lawrence Erlbaum Associates. Cohen, S., & McKay, G. (1984). Social support, stress and the buffering hypothesis: A theoretical analysis. In A. Baum, E. Taylor, & J. E. Singer (Eds.), Handbook of psychology and health: Social psychological aspects of health (pp. 253–277). Hillsdale, NJ: Lawrence Erlbaum Associates.
24.
go back to reference Kawachi, I., & Berkman, L. F. (2001). Social ties and mental health. Journal of Urban Health, 78(3), 458–467.PubMed Kawachi, I., & Berkman, L. F. (2001). Social ties and mental health. Journal of Urban Health, 78(3), 458–467.PubMed
25.
go back to reference Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York: Springer. Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York: Springer.
26.
go back to reference Ravens-Sieberer, U., Gosch, A., Abel, T., Auquier, P., Bellach, B. M., Bruil, J., et al. (2001). Quality of life in children and adolescents—a European public health perspective. Sozial-und Präventivmedizin, 46, 297–302. Ravens-Sieberer, U., Gosch, A., Abel, T., Auquier, P., Bellach, B. M., Bruil, J., et al. (2001). Quality of life in children and adolescents—a European public health perspective. Sozial-und Präventivmedizin, 46, 297–302.
27.
go back to reference Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Power, M., et al. (2008). The KIDSCREEN-52 quality of life measure for children and adolescents: Psychometric results from a cross-cultural survey in 13 European countries. Value in Health, 11(4), 645–658.CrossRefPubMed Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Power, M., et al. (2008). The KIDSCREEN-52 quality of life measure for children and adolescents: Psychometric results from a cross-cultural survey in 13 European countries. Value in Health, 11(4), 645–658.CrossRefPubMed
28.
go back to reference Resnick, M. D., Bearman, P. S., Blum, R. W., Bauman, K. E., Harris, K. M., Jones, J., et al. (1997). Protecting adolescents from harm: Findings from the national longitudinal study on adolescent health. Journal of the American Medical Association, 278(10), 823–832.CrossRefPubMed Resnick, M. D., Bearman, P. S., Blum, R. W., Bauman, K. E., Harris, K. M., Jones, J., et al. (1997). Protecting adolescents from harm: Findings from the national longitudinal study on adolescent health. Journal of the American Medical Association, 278(10), 823–832.CrossRefPubMed
29.
go back to reference Bethell, C. D., Read, D., Stein, R. K., Blumberg, S. J., Wells, N., & Newacheck, P. W. (2002). Identifying children with special health care needs: Development and evaluation of a short screening instrument. Ambulatory Pediatrics, 2(1), 38–48.CrossRefPubMed Bethell, C. D., Read, D., Stein, R. K., Blumberg, S. J., Wells, N., & Newacheck, P. W. (2002). Identifying children with special health care needs: Development and evaluation of a short screening instrument. Ambulatory Pediatrics, 2(1), 38–48.CrossRefPubMed
30.
go back to reference Edelen, M. O., & Reeve, B. B. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Quality of Life Research, 16(1), 5–18.CrossRefPubMed Edelen, M. O., & Reeve, B. B. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Quality of Life Research, 16(1), 5–18.CrossRefPubMed
31.
go back to reference Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the patient-reported outcomes measurement information system (PROMIS). Medical Care, 45(Suppl 1), S22–S31.CrossRefPubMed Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the patient-reported outcomes measurement information system (PROMIS). Medical Care, 45(Suppl 1), S22–S31.CrossRefPubMed
32.
go back to reference Muthen, L. K., Muthen, B. O. (1998–2004). Mplus user’s guide. Los Angeles, CA: Muthen & Muthen. Muthen, L. K., Muthen, B. O. (1998–2004). Mplus user’s guide. Los Angeles, CA: Muthen & Muthen.
33.
go back to reference Linacre, J. (2004). A user’s guide to Winsteps Rasch-model computer program. Linacre, J. (2004). A user’s guide to Winsteps Rasch-model computer program.
34.
go back to reference Langer, M. M., Hill, C. D., Thissen, D., Burwinkle, T. M., Varni, J. W., & DeWalt, D. A. (2008). Item response theory detected differential item functioning between healthy and ill children in quality-of-life measures. Journal of Clinical Epidemiology, 61(3), 268–276.CrossRefPubMed Langer, M. M., Hill, C. D., Thissen, D., Burwinkle, T. M., Varni, J. W., & DeWalt, D. A. (2008). Item response theory detected differential item functioning between healthy and ill children in quality-of-life measures. Journal of Clinical Epidemiology, 61(3), 268–276.CrossRefPubMed
35.
go back to reference Riley, A. W., Spiel, G., Coghill, D., Dopfner, M., Falissard, B., Lorenzo, M. J., et al. (2006). Factors related to health-related quality of life (HRQoL) among children with ADHD in Europe at entry into treatment. European Child and Adolescent Psychiatry, 5(1), 38–45.CrossRef Riley, A. W., Spiel, G., Coghill, D., Dopfner, M., Falissard, B., Lorenzo, M. J., et al. (2006). Factors related to health-related quality of life (HRQoL) among children with ADHD in Europe at entry into treatment. European Child and Adolescent Psychiatry, 5(1), 38–45.CrossRef
36.
go back to reference Feingold, A., & Mazzella, R. (1998). Gender differences in body image are increasing. Psychological Science, 9(3), 190–196.CrossRef Feingold, A., & Mazzella, R. (1998). Gender differences in body image are increasing. Psychological Science, 9(3), 190–196.CrossRef
37.
go back to reference Jones, D. C. (2001). Social comparison and body image: Attractiveness comparisons to models and peer among adolescent girls and boys. Sex Roles, 45(9/10), 645–655.CrossRef Jones, D. C. (2001). Social comparison and body image: Attractiveness comparisons to models and peer among adolescent girls and boys. Sex Roles, 45(9/10), 645–655.CrossRef
38.
go back to reference Lewinsohn, P. M., Lewinsohn, M., Gotlib, I. H., Seeley, J. R., & Allen, N. B. (1998). Gender differences in anxiety disorders and anxiety symptoms in adolescents. Journal of Abnormal Psychology, 107(1), 109–117.CrossRefPubMed Lewinsohn, P. M., Lewinsohn, M., Gotlib, I. H., Seeley, J. R., & Allen, N. B. (1998). Gender differences in anxiety disorders and anxiety symptoms in adolescents. Journal of Abnormal Psychology, 107(1), 109–117.CrossRefPubMed
39.
go back to reference Trost, S. G., Pate, R. R., Sallis, J. F., Freedson, P. S., Taylor, W. C., Dowda, M., et al. (2002). Age and gender differences in objectively measured physical activity in youth. Medicine and Science in Sports and Exercise, 34(2), 47–58.CrossRef Trost, S. G., Pate, R. R., Sallis, J. F., Freedson, P. S., Taylor, W. C., Dowda, M., et al. (2002). Age and gender differences in objectively measured physical activity in youth. Medicine and Science in Sports and Exercise, 34(2), 47–58.CrossRef
40.
go back to reference Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum.
41.
go back to reference Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107(2), 238–246.CrossRefPubMed Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107(2), 238–246.CrossRefPubMed
42.
go back to reference Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.CrossRef Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.CrossRef
43.
go back to reference Bjorkqvist, K., Legerspetz, K. M. J., & Kaukiainen, A. (1992). Do girls manipulate and boys fight? Developmental trends in regard to direct and indirect aggression. Aggressive Behavior, 18(1), 117–127.CrossRef Bjorkqvist, K., Legerspetz, K. M. J., & Kaukiainen, A. (1992). Do girls manipulate and boys fight? Developmental trends in regard to direct and indirect aggression. Aggressive Behavior, 18(1), 117–127.CrossRef
44.
go back to reference Crick, N. R., & Grotpeter, J. K. (1995). Relational aggression, gender, and social-psychological adjustment. Child Development, 66(3), 710–722.CrossRefPubMed Crick, N. R., & Grotpeter, J. K. (1995). Relational aggression, gender, and social-psychological adjustment. Child Development, 66(3), 710–722.CrossRefPubMed
45.
go back to reference Berndt, T. J. (1982). The features and effects of friendship in early adolescence. Child Development, 53(6), 1447–1460.CrossRef Berndt, T. J. (1982). The features and effects of friendship in early adolescence. Child Development, 53(6), 1447–1460.CrossRef
46.
go back to reference Power, T. J. (2006). Collaborative practices for managing children’s chronic health conditions. In L. Phelps (Ed.), Chronic health-related disorders in children: Collaborative medical and psychoeducational interventions. Washington, DC: American Psychological Association. Power, T. J. (2006). Collaborative practices for managing children’s chronic health conditions. In L. Phelps (Ed.), Chronic health-related disorders in children: Collaborative medical and psychoeducational interventions. Washington, DC: American Psychological Association.
47.
go back to reference Barkley, R. A. (2006). Attention-deficit hyperactivity disorder: A handbook for diagnosis and treatment. New York: Guilford Press. Barkley, R. A. (2006). Attention-deficit hyperactivity disorder: A handbook for diagnosis and treatment. New York: Guilford Press.
48.
go back to reference Birkhart, P. V., Svavarsdottir, E. K., Rayens, M. K., Oakley, M. G., & Orlygsdottir, B. (2009). Adolescents with asthma: Predictors of quality of life. Journal of Advanced Nursing, 65(4), 860–866.CrossRef Birkhart, P. V., Svavarsdottir, E. K., Rayens, M. K., Oakley, M. G., & Orlygsdottir, B. (2009). Adolescents with asthma: Predictors of quality of life. Journal of Advanced Nursing, 65(4), 860–866.CrossRef
49.
go back to reference French, D., Carroll, A., & Christie, M. (1998). Health-related quality of life in Australian children with asthma: Lessons for the cross-cultural use of quality of life instruments. Quality of Life Research, 7(5), 409–419.CrossRefPubMed French, D., Carroll, A., & Christie, M. (1998). Health-related quality of life in Australian children with asthma: Lessons for the cross-cultural use of quality of life instruments. Quality of Life Research, 7(5), 409–419.CrossRefPubMed
50.
go back to reference Forrest, C. B., Starfield, B., Riley, A. W., & Kang, M. (1997). The impact of asthma on the health status of adolescents. Pediatrics, 99, E1.CrossRefPubMed Forrest, C. B., Starfield, B., Riley, A. W., & Kang, M. (1997). The impact of asthma on the health status of adolescents. Pediatrics, 99, E1.CrossRefPubMed
51.
go back to reference Cella, D., Gershon, R., Lai, J., & Choi, S. (2007). The future of outcomes measurement: Item banking, tailored short-forms, and computerized adaptive assessment. Quality of Life Research, 16(1), 133–141.CrossRefPubMed Cella, D., Gershon, R., Lai, J., & Choi, S. (2007). The future of outcomes measurement: Item banking, tailored short-forms, and computerized adaptive assessment. Quality of Life Research, 16(1), 133–141.CrossRefPubMed
52.
go back to reference Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(Suppl 1), S3–S11.CrossRefPubMed Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(Suppl 1), S3–S11.CrossRefPubMed
53.
go back to reference Gibson, R. S. (2005). Principles of nutritional assessment. New York: Oxford University Press. Gibson, R. S. (2005). Principles of nutritional assessment. New York: Oxford University Press.
54.
go back to reference Galen, B. R., & Underwood, M. K. (1997). A developmental investigation of social aggression among children. Developmental Psychology, 33(4), 589–600.CrossRefPubMed Galen, B. R., & Underwood, M. K. (1997). A developmental investigation of social aggression among children. Developmental Psychology, 33(4), 589–600.CrossRefPubMed
55.
go back to reference Stanley, L., & Arora, T. (1998). Social exclusion amongst adolescent girls: Their self-esteem and coping strategies. Education Psychology in Practice, 14(2), 94–100.CrossRef Stanley, L., & Arora, T. (1998). Social exclusion amongst adolescent girls: Their self-esteem and coping strategies. Education Psychology in Practice, 14(2), 94–100.CrossRef
57.
go back to reference Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Duer, W. (2005). KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Review of Pharmoeconomics and Outcomes Ressearch, 5(3), 353–364. Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Duer, W. (2005). KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Review of Pharmoeconomics and Outcomes Ressearch, 5(3), 353–364.
58.
go back to reference Eccles, J. S., Early, D., Frasier, K., Belansky, E., McCarthy, K. (1997). The relation of connection, regulation, and support for autonomoy to adolescents’ functioning. Journal of Adolescence Research, 12(2), 263–286. Eccles, J. S., Early, D., Frasier, K., Belansky, E., McCarthy, K. (1997). The relation of connection, regulation, and support for autonomoy to adolescents’ functioning. Journal of Adolescence Research, 12(2), 263–286.
59.
go back to reference Simons-Morton, B. G., Crump, A. D. (2002). The association of parental involvement and social competence with school adjustment and engagement among sixth graders. Journal of School Health, 73(3), 121–126. Simons-Morton, B. G., Crump, A. D. (2002). The association of parental involvement and social competence with school adjustment and engagement among sixth graders. Journal of School Health, 73(3), 121–126.
60.
go back to reference Blumenfeld, P., Modell, J., Bartko, W. T., Secada, W., Fredricks, J., Friedel, J., et al. (2005). School engagement of inner city students during middle childhood. In C. R. Cooper, C. G. Coll, W. T. Bartko, H. M. Davis, & C. Chatman C. (Eds), Developmental Pathways through Middle Childhood: Rethinking Diversity and Contexts as Resources for Children's Developmental Pathways (pp. 145–170). Mahwah, NJ: Lawrence Erlbaum. Blumenfeld, P., Modell, J., Bartko, W. T., Secada, W., Fredricks, J., Friedel, J., et al. (2005). School engagement of inner city students during middle childhood. In C. R. Cooper, C. G. Coll, W. T. Bartko, H. M. Davis, & C. Chatman C. (Eds), Developmental Pathways through Middle Childhood: Rethinking Diversity and Contexts as Resources for Children's Developmental Pathways (pp. 145–170). Mahwah, NJ: Lawrence Erlbaum.
Metagegevens
Titel
Development of the Healthy Pathways Child-Report Scales
Auteurs
Katherine B. Bevans
Anne W. Riley
Christopher B. Forrest
Publicatiedatum
01-10-2010
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 8/2010
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-010-9687-4

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