Top

Quality of Life Research

Gepubliceerd in:

03-08-2016

Quality of life among working and non-working adolescents

Auteurs: Janessa M. Graves, Jessica L. Mackelprang, Celestina Barbosa-Leiker, Mary E. Miller, Angel Y. Li

Gepubliceerd in: Quality of Life Research | Uitgave 1/2017

Abstract

Purpose

This study investigated the association between work, work intensity, and quality of life (QOL) among adolescents in Washington State.

Methods

Data from the 2010 Washington Healthy Youth Survey of public school students in 8, 10, and 12th grades were analyzed. Students were categorized as working or not working. Work intensity was classified by self-reported number of hours worked per week. Respondent QOL was measured using the Youth Quality of Life Instrument-Healthy Youth Survey Version (YQOL-HYS). Linear regression models evaluated the association between employment variables and scores on the YQOL-HYS.

Results

In total, 27, 26, and 47 % of students in grades 8, 10, and 12 reported currently working, respectively. For 8th and 10th graders, working was significantly associated with lower QOL scores compared to non-working students. Across all grades, increased work intensity was associated with significantly lower QOL. Participation in after-school activities demonstrated a protective effect.

Conclusions

While work is often a positive experience for adolescents, among younger teens and those who work many hours, employment during the school year may have a deleterious impact on QOL. Further research is necessary to better understand whether employment, particularly in early adolescence, may have negative ramifications on QOL among young workers.

vorige artikel HRQoL impact of stressful life events in children beginning primary school: results of a prospective study in Poland

volgende artikel Sustained quality of life improvement after intracoronary injection of autologous bone marrow cells in the setting of acute myocardial infarction: results from the BONAMI trial

Alleen toegankelijk voor geautoriseerde gebruikers

Miller, M. E., Handelman, E. E., & Lewis, C. E. (2007). Protecting young workers: Coordinated strategies help to raise safety awareness. Professional Safety, 52, 38–45.

Mortimer, J. T. (2003). Working and growing up in America. Cambridge: Harvard University Press.

Ruhm, C. J. (1995). The extent and consequences of high school employment. Journal of Labor Research, 16(3), 293–303. doi:10.1007/bf02685757.CrossRef

Safron, D. J., Schulenberg, J. E., & Bachman, J. G. (2001). Part-time work and hurried adolescence: The links among work intensity, social activities, health behaviors, and substance use. Journal of Health and Social Behavior, 42(4), 425–449. doi:10.2307/3090188.CrossRefPubMed

Teixeira, L. R., Fischer, F. M., Nagai, R., & Turte, S. L. (2004). Teen at work: The burden of a double shift on daily activities. Chronobiology International, 21(6), 845–858. doi:10.1081/cbi-200036878.CrossRefPubMed

Melman, S., Little, S. G., & Akin-Little, K. A. (2007). Adolescent overscheduling: The relationship between levels of participation in scheduled activities and self-reported clinical symptomology. The High School Journal, 90(3), 18–30. doi:10.1353/hsj.2007.0011.CrossRef

Osilla, K. C., Hunter, S. B., Ewing, B. A., Ramchand, R., Miles, J. N., & D’Amico, E. J. (2013). The effects of employment among adolescents at-risk for future substance use. Addictive Behaviors, 38(3), 1616–1619. doi:10.1016/j.addbeh.2012.09.012.CrossRefPubMed

Staff, J., Schulenberg, J. E., & Bachman, J. G. (2010). Adolescent work intensity, school performance, and academic engagement. Sociology of Education, 83(3), 183–200. doi:10.1177/0038040710374585.CrossRefPubMedPubMedCentral

Staff, J., VanEseltine, M., Woolnough, A., Silver, E., & Burrington, L. (2012). Adolescent work experiences and family formation behavior. Journal of Research on Adolescence, 22(1), 150–164. doi:10.1111/j.1532-7795.2011.00755.x.CrossRefPubMed

10.

Warren, J. R., & Lee, J. C. (2003). The impact of adolescent employment on high school dropout: Differences by individual and labor-market characteristics. Social Science Research, 32(1), 98–128. doi:10.1016/s0049-089x(02)00021-2.CrossRef

11.

Barling, J., Rogers, K. A., & Kelloway, E. K. (1995). Some effects of teenagers’ part-time employment: The quantity and quality of work make the difference. Journal of Organizational Behavior, 16(2), 143–154. doi:10.1002/job.4030160205.CrossRef

12.

Shanahan, M. J., Finch, M., Mortimer, J. T., & Ryu, S. (1991). Adolescent work experience and depressive affect. Social Psychology Quarterly,. doi:10.2307/2786843.

13.

Mortimer, J. T., Finch, M., Shanahan, M., & Ryu, S. (1992). Work experience, mental health, and behavioral adjustment in adolescence. Journal of Research on Adolescence, 2(1), 25–57. doi:10.1207/s15327795jra0201_2.CrossRef

14.

Mortimer, J. T., Finch, M. D., Ryu, S., Shanahan, M. J., & Call, K. T. (1996). The effects of work intensity on adolescent mental health, achievement, and behavioral adjustment: New evidence from a prospective study. Child Development, 67(3), 1243–1261. doi:10.1111/j.1467-8624.1996.tb01793.x.PubMed

15.

Centers for Disease Control and Prevention. (2010). Occupational injuries and deaths among younger workers: United States, 1998–2007. MMWR Morbitity and Mortality Weekly Report, 59(15), 449–455.

16.

WHOQOL group. (1995). The World Health Organization quality of life assessment (WHOQOL): Position paper from the World Health Organization. Social Science and Medicine, 41(10), 1403–1409. doi:10.1016/0277-9536(95)00112-k.CrossRef

17.

Richardson, R., Pilkey, D., & Bensley, L. (2013). Washington state healthy youth survey, 2010 data analysis and technical assistance manual. Tumwater, WA: Washington State Department of Health.

18.

Washington State Department of Health, Office of the Superintendent of Public Instruction Department of Social and Health Services Department of Commerce, Family Policy Council, and Liquor Control Board (2011). Healthy youth survey 2010 analytic report. Tumwater, WA: Washington State Department of Health.

19.

Topolski, T. D., Edwards, T. C., & Patrick, D. L. (2002). User’s manual and interpretation guide for the youth quality of Life (YQOL) instruments. Seattle, WA: University of Washington, Department of Health Services.

20.

Patrick, D. L., Bell, J. F., Huang, J. Y., Lazarakis, N. C., & Edwards, T. C. (2013). Bullying and quality of life in youths perceived as gay, lesbian, or bisexual in Washington State, 2010. American Journal of Public Health, 103(7), 1255–1261. doi:10.2105/ajph.2012.301101.CrossRefPubMedPubMedCentral

21.

Topolski, T. D., Patrick, D. L., Edwards, T. C., Huebner, C. E., Connell, F. A., & Mount, K. K. (2001). Quality of life and health-risk behaviors among adolescents. Journal of Adolescent Health, 29(6), 426–435. doi:10.1016/s1054-139x(01)00305-6.CrossRefPubMed

22.

Patrick, D. L., Edwards, T. C., & Topolski, T. D. (2002). Adolescent quality of life, part II: Initial validation of a new instrument. Journal of Adolescence, 25(3), 287–300.CrossRefPubMed

23.

StataCorp. (2015). Stata multiple-imputation reference manual: Release 14. College Station, TX: Stata Press.

24.

Casey, B., Jones, R. M., & Hare, T. A. (2008). The adolescent brain. Annals of the New York Academy of Sciences, 1124(1), 111–126. doi:10.1196/annals.1440.010.CrossRefPubMedPubMedCentral

25.

Blakemore, S. J., & Choudhury, S. (2006). Development of the adolescent brain: Implications for executive function and social cognition. Journal of Child Psychology and Psychiatry, 47(3–4), 296–312. doi:10.1093/oxfordhb/9780199570706.013.0025.CrossRefPubMed

26.

Spear, L. P. (2013). Adolescent neurodevelopment. Journal of Adolescent Health, 52(2), S7–S13.CrossRefPubMedPubMedCentral

27.

Ernst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., et al. (2005). Amygdala and nucleus accumbens in responses to receipt and omission of gains in adults and adolescents. Neuroimage, 25(4), 1279–1291.CrossRefPubMed

28.

Smaldone, A., Honig, J. C., & Byrne, M. W. (2007). Sleepless in America: Inadequate sleep and relationships to health and well-being of our nation’s children. Pediatrics, 119(Supplement 1), S29–S37.CrossRefPubMed

29.

Wolfson, A. R., & Carskadon, M. A. (1998). Sleep schedules and daytime functioning in adolescents. Child Development,. doi:10.2307/1132351.PubMed

30.

Eccles, J. S., & Barber, B. L. (1999). Student council, volunteering, basketball, or marching band what kind of extracurricular involvement matters? Journal of Adolescent Research, 14(1), 10–43. doi:10.1177/0743558499141003.CrossRef

31.

Zaff, J. F., Moore, K. A., Papillo, A. R., & Williams, S. (2003). Implications of extracurricular activity participation during adolescence on positive outcomes. Journal of Adolescent Research, 18(6), 599–630. doi:10.1177/0743558403254779.CrossRef

32.

Bachman, J. G., Staff, J., O’Malley, P. M., & Freedman-Doan, P. (2013). Adolescent work intensity, school performance, and substance use: Links vary by race/ethnicity and socioeconomic status. Developmental Psychology, 49(11), 2125. doi:10.1037/a0031464.supp.CrossRefPubMed

33.

Rauscher, K. J., Wegman, D. H., Wooding, J., Davis, L., & Junkin, R. (2013). Adolescent work quality: A view from today’s youth. Journal of Adolescent Research, 28(5), 557–590. doi:10.1177/0743558412467676.CrossRef

34.

Mortimer, J. T. (2010). The benefits and risks of adolescent employment. The Prevention Researcher, 17(2), 8. doi:10.1037/e540552010-004.PubMedPubMedCentral

35.

Staff, J., Osgood, D. W., Schulenberg, J. E., Bachman, J. G., & Messersmith, E. E. (2010). Explaining the relationship between employment and juvenile delinquency. Criminology, 48(4), 1101–1131.CrossRefPubMedPubMedCentral

36.

Runyan, C. W., Bowling, J. M., Schulman, M., & Gallagher, S. S. (2005). Potential for violence against teenage retail workers in the United States. Journal of Adolescent Health, 36(3), 267. e261–267. e265, doi:10.1016/j.jadohealth.2004.07.006.

37.

Smith, C. R., Gillespie, G. L., & Beery, T. A. (2015). Adolescent workers’ experiences of and training for workplace violence. Workplace Health and Safety, 63(7), 297–307. doi:10.1177/2165079915580786.CrossRefPubMed

38.

Runyan, C. W., Schulman, M., Dal Santo, J., Bowling, J. M., Agans, R., & Ta, M. (2007). Work-related hazards and workplace safety of US adolescents employed in the retail and service sectors. Pediatrics, 119(3), 526–534. doi:10.1542/peds.2006-2009.CrossRefPubMed

39.

O’Connor, T., Loomis, D., Runyan, C., dal Santo, J. A., & Schulman, M. (2005). Adequacy of health and safety training among young Latino construction workers. Journal of Occupational and Environmental Medicine, 47(3), 272–277. doi:10.1097/01.jom.0000150204.12937.f5.CrossRefPubMed

40.

Hansen, D. M., & Jarvis, P. A. (2000). Adolescent employment and psychosocial outcomes a comparison of two employment contexts. Youth and Society, 31(4), 417–436. doi:10.1177/0044118x00031004002.CrossRef

41.

Zimmer-Gembeck, M. J., & Mortimer, J. T. (2006). Adolescent work, vocational development, and education. Review of Educational Research, 76(4), 537–566.CrossRefPubMedPubMedCentral

42.

Mortimer, J. T., Harley, C., & Staff, J. (2002). The quality of work and youth mental health. Work and Occupations, 29(2), 166–197. doi:10.1177/0730888402029002003.CrossRef

Titel: Quality of life among working and non-working adolescents
Auteurs: Janessa M. Graves
Jessica L. Mackelprang
Celestina Barbosa-Leiker
Mary E. Miller
Angel Y. Li
Publicatiedatum: 03-08-2016
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 1/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-016-1376-5

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusions

Log in om toegang te krijgen

Andere artikelen Uitgave 1/2017

Transcultural adaptation and validation of the Mexican version of the kidney disease questionnaire KDQOL-SF36 version 1.3

Validity and reliability of the Malay version multidimensional scale of perceived social support (MSPSS-M) among teachers

Quality of life in aphasic patients 1 year after a first stroke

Quality of life in patients with a permanent stoma after rectal cancer surgery

The perceived constraints subscale of the Sense of Mastery Scale: dimensionality and measurement invariance

Relationship between physician-judged functioning level and self-reported disabilities in elderly people with locomotive disorders