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Quality of Life Research
Gepubliceerd in: Quality of Life Research 6/2019

06-03-2019

Psychosocial measures and weight change in a clinical paediatric population with obesity

Auteurs: Brooke E. Harcourt, Anke Pons, Kung-Ting Kao, Celia Twindyakirana, Erin Alexander, Sarah Haberle, Zoe McCallum, Matthew A. Sabin

Gepubliceerd in: Quality of Life Research | Uitgave 6/2019

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Abstract

Purpose

Poor quality of life has been shown to occur in youth with obesity. This study aimed to assess associations between health-related quality of life, general mental health and general psychological distress measures, collectively termed psychosocial health questionnaires (PSH), with weight outcomes in a busy paediatric weight management service.

Methods

A cross-sectional longitudinal clinical cohort, ‘Childhood Overweight BioRepository of Australia (COBRA)’, was used (n = 250, median age 11, range 2–18 year, mean BMI z-score 2.5 ± 0.2). Clinical data were collected and HRQOL questionnaires; Pediatric Quality of Life 4.0 (PedsQL), ‘Sizing Me/Them Up’ (SMU/STU), and psychological well-being questionnaires; strengths and difficulties questionnaire (SDQ) and Kessler 10 (K10) were completed by the child and primary caregiver. PSH results were compared to age- and sex-adjusted BMI z-score at baseline and follow-up. Direct logistic regression modelling was performed to assess the impact of PSH factors on the likelihood of successful weight reduction over a period of ≥ 12 months.

Results

Mean self-report PSH scores were: 68.0 ± 15.28 (PedsQL, range 0-100), 64.8 ± 15.8, (SMU, range 0-100), 17.3 ± 4.4 (SDQ, range 0–40) and 20.0 ± 7.7 (K10, range 0–50). A significant negative correlation was observed between PSH scores and childhood obesity (baseline BMI z-scores (p < 0.01)). No correlations were observed between psychological well-being measures and BMI z-scores. Higher subscale scores of the PedsQL and SDQ, which measure impaired psychosocial health and more difficulties with hyperactivity and inattention, significantly predict weight loss in children with obesity after 12 months.

Conclusion

PSH questionnaires may be useful in identifying individuals who require additional support to achieve weight loss goals in a tertiary weight management service.
vorige artikel A pilot study on aesthetic treatments performed by qualified aesthetic practitioners: efficacy on health-related quality of life in breast cancer patients
volgende artikel Association of nutritional status and health-related quality of life in children with chronic kidney disease
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Literatuur
1.
Olds, T. S., et al. (2010). Trends in the prevalence of childhood overweight and obesity in Australia between 1985 and 2008. International Journal of Obesity, 34(1), 57–66.PubMedCrossRef
2.
Organization, W. H., (2007). International classification of functioning, disability and health: Children and youth version: ICF-CY. Geneva: WHO Press.
3.
Schwimmer, J. B., Burwinkle, T. M., & Varni, J. W. (2003). Health-related quality of life of severely obese children and adolescents. JAMA, 289(14), 1813–1819.PubMedCrossRef
4.
Stern, M., et al. (2007). Gender, ethnicity, psychosocial factors, and quality of life among severely overweight, treatment-seeking adolescents. Journal of Pediatric Psychology, 32(1), 90–94.PubMedCrossRef
5.
Varni, J. W., Seid, M., & Kurtin, P. S. (2001). PedsQL 4.0: Reliability and validity of the pediatric quality of life inventory version 4.0 generic core scales in healthy and patient populations. Medical Care, 39(8), 800–812.PubMedCrossRef
6.
Goodman, A., & Goodman, R. (2009). Strengths and difficulties questionnaire as a dimensional measure of child mental health. Journal of the American Academy of Child & Adolescent Psychiatry, 48(4), 400–403.CrossRef
7.
Kessler, R. C., et al. (2003). Screening for serious mental illness in the general population. Archives of General Psychiatry, 60(2), 184–189.PubMedCrossRef
8.
Zeller, M. H., & Modi, A. C. (2009). Development and initial validation of an obesity-specific quality-of-life measure for children: Sizing me up. Obesity, 17(6), 1171–1177.PubMed
9.
Kolotkin, R. L., & Crosby, R. D. (2002). Psychometric evaluation of the impact of weight on quality of life-lite questionnaire (IWQOL-lite) in a community sample. Quality of Life Research, 11(2), 157–171.PubMedCrossRef
10.
de Beer, M., et al. (2007). Health-related-quality-of-life in obese adolescents is decreased and inversely related to BMI. Acta Paediatrica, 96(5), 710–714.PubMedCrossRef
11.
Hughes, A. R., et al. (2007). Quality of life in a clinical sample of obese children. International Journal of Obesity, 31(1), 39–44.PubMedCrossRef
12.
Pinhas-Hamiel, O., et al. (2006). Health-related quality of life among children and adolescents: Associations with obesity. International Journal of Obesity, 30(2), 267–272.PubMedCrossRef
13.
Swallen, K. C., et al. (2005). Overweight, obesity, and health-related quality of life among adolescents: The national longitudinal study of adolescent health. Pediatrics, 115(2), 340–347.PubMedCrossRef
14.
Tyler, C., et al. (2007). Reduced quality of life in very overweight Mexican American adolescents. Journal of Adolescent Health, 40(4), 366–368.CrossRef
15.
Zeller, M. H., & Modi, A. C. (2006). Predictors of health-related quality of life in obese youth. Obesity, 14(1), 122–130.PubMedCrossRef
16.
Williams, J., et al. (2005). Health-related quality of life of overweight and obese children. JAMA, 293(1), 70–76.PubMedCrossRef
17.
Ravens-Sieberer, U., Redegeld, M., & Bullinger, M. (2001). Quality of life after in-patient rehabilitation in children with obesity. International Journal of Obesity and Related Metabolic Disorders, 25(Suppl 1), S63–S65.PubMedCrossRef
18.
19.
Frohlich, G., et al. (2011). Conditions of long-term success in a lifestyle intervention for overweight and obese youths. Pediatrics, 128(4), e779–e785.PubMedCrossRef
20.
Reinehr, T., et al. (2007). Four-year follow-up of children and adolescents participating in an obesity intervention program. International Journal of Obesity, 31(7), 1074–1077.PubMedCrossRef
21.
van Egmond-Froehlich, A., et al. (2012). The hyperactivity/inattention subscale of the strengths and difficulties questionnaire predicts short- and long-term weight loss in overweight children and adolescents treated as outpatients. Obesity Facts, 5(6), 856–868.PubMedCrossRef
22.
van Egmond-Froehlich, A., et al. (2013). Parent reported inattention and hyperactivity/impulsivity as predictor of long-term weight loss after inpatient treatment in obese adolescents. International Journal of Eating Disorders, 46(1), 39–46.CrossRef
23.
Ryder, J. R., et al. (2018). Factors associated with long-term weight-loss maintenance following bariatric surgery in adolescents with severe obesity. International Journal of Obesity, 42(1), 102–107.PubMedCrossRef
24.
Sabin, M. A., et al. (2010). New directions in childhood obesity research: How a comprehensive biorepository will allow better prediction of outcomes. BMC Medical Research Methodology, 10, 100.PubMedPubMedCentralCrossRef
25.
Cole, T. J. (1990). The LMS method for constructing normalized growth standards. European Journal of Clinical Nutrition, 44(1), 45–60.PubMed
26.
27.
28.
Ogden, C. L., et al.(2004) Mean body weight, height, and body mass index, United States 1960–2002. Advance Data, 347(347), 1–17.
29.
Modi, A. C., & Zeller, M. H. (2008). Validation of a parent-proxy, obesity-specific quality-of-life measure: Sizing them up. Obesity, 16(12), 2624–2633.PubMedCrossRef
30.
Harris, P. A., et al. (2009). Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377–381.PubMedCrossRef
31.
32.
Koch, F. S., Sepa, A., & Ludvigsson, J. (2008). Psychological stress and obesity. The Journal of pediatrics, 153(6), 839–844.PubMedCrossRef
33.
Tsiros, M. D., et al. (2009). Health-related quality of life in obese children and adolescents. International Journal of Obesity, 33(4), 387–400.PubMedCrossRef
34.
Pratt, K. J., et al. (2012). The importance of assessing for depression with HRQOL in treatment seeking obese youth and their caregivers. Quality Life Research, 21(8), 1367–1377.CrossRef
35.
Riazi, A., et al. (2010). Health-related quality of life in a clinical sample of obese children and adolescents. Health and Quality of Life Outcomes, 8, 134.PubMedPubMedCentralCrossRef
36.
Wake, M., et al. (2010). Comorbidities of overweight/obesity experienced in adolescence: Longitudinal study. Archives of Disease in Childhood, 95(3), 162–168.PubMedCrossRef
37.
Williams, J. W., et al. (2011). Changes in body mass index and health related quality of life from childhood to adolescence. International Journal of Pediatric obesity, 6(2–2), e442–e448.PubMedCrossRef
38.
Black, W. R., et al. (2014). Health-related quality of life in obese and overweight, treatment-seeking youth. Ethnicity & Disease, 24(3), 321–327.
39.
Guilfoyle, S. M., Zeller, M. H., & Modi, A. C. (2010). Parenting stress impacts obesity-specific health-related quality of life in a pediatric obesity treatment-seeking sample. Journal of Developmental and Behavioral Pediatrics: JDBP, 31(1), 17–25.PubMedCrossRef
40.
Nir, Z., & Neumann, L. (1995). Relationship among self-esteem, internal-external locus of control, and weight change after participation in a weight reduction program. Journal of Clinical Psychology, 51(4), 482–490.PubMedCrossRef
41.
Ingerski, L. M., Janicke, D. M., & Silverstein, J. H. (2007). Brief report: quality of life in overweight youth-the role of multiple informants and perceived social support. Journal of Pediatric Psychology, 32(7), 869–874.PubMedCrossRef
42.
Fonseca, H., et al. (2009). Are overweight and obese adolescents different from their peers? International Journal of Pediatric Obesity, 4(3), 166–174.PubMedCrossRef
43.
Zeller, M. H., Reiter-Purtill, J., & Ramey, C. (2008). Negative peer perceptions of obese children in the classroom environment. Obesity, 16(4), 755–762.PubMedCrossRef
44.
Strauss, R. S., & Pollack, H. A. (2003). Social marginalization of overweight children. Archives of Pediatrics & Adolescent Medicine, 157(8), 746–752.CrossRef
45.
46.
Puhl, R. M., & Heuer, C. A. (2010). Obesity stigma: important considerations for public health. American Journal of Public Health, 100(6), 1019–1028.PubMedPubMedCentralCrossRef
Metagegevens
Titel
Psychosocial measures and weight change in a clinical paediatric population with obesity
Auteurs
Brooke E. Harcourt
Anke Pons
Kung-Ting Kao
Celia Twindyakirana
Erin Alexander
Sarah Haberle
Zoe McCallum
Matthew A. Sabin
Publicatiedatum
06-03-2019
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 6/2019
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-019-02155-3

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