IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v9y2017i2p166.html
   My bibliography  Save this article

Explanation of Children’s Health through Parents’ Mental Health and Job Satisfaction by Structural Equation Modeling

Author

Listed:
  • Majid Golzarpour
  • Meroe Vameghi
  • Homeira Sajjadi
  • Gholamreza Harouni

Abstract

BACKGROUND- Worldwide, much evidence exists on the influence of parents’ socioeconomic conditions, including employment, on children’s health. However, the mechanisms for this affect are still being investigated. Few studies have been conducted in Iran to investigate this issue. This study investigated working conditions, job satisfaction, and mental health of employed people and the association between these variables and their children’s health.MATERIALS & METHODS- In this correlational work, 200 male and female staff of the official part of Educational Organization and the schools of Mashhad with children aged 5-18 years was randomly selected. The data were gathered using a demographic questionnaire, the 20-item Minnesota Job Satisfaction Questionnaire, the 28-item General Health Questionnaire, and the 28-item Child Health Questionnaire. The data were then analyzed using SPSS. The associations under study were investigated by structural equation modeling in AMOS.RESULTS- Approximately 17% of the variation in the parents’ job satisfaction could be explained by the parents’ insurance, income, and work hours; 6% of the variation in their mental health was explained by job satisfaction, and 26% of the variation in children’s health was directly explained by the parents’ job satisfaction and mental health. However, approximately 32.2% of the variation in children’s health could be explained in the light of the direct effect of the parents’ mental health and direct and indirect effects of the parents’ job satisfaction. The goodness of fit index was 0.94.CONCLUSION- Parents’ job satisfaction was associated with and considerably explained children’s health. Although this finding may be partially related to the job satisfaction effect on mental health, the reasons for the affect of job satisfaction on children’s health and the potential mechanisms of this association require further studies.

Suggested Citation

  • Majid Golzarpour & Meroe Vameghi & Homeira Sajjadi & Gholamreza Harouni, 2017. "Explanation of Children’s Health through Parents’ Mental Health and Job Satisfaction by Structural Equation Modeling," Global Journal of Health Science, Canadian Center of Science and Education, vol. 9(2), pages 166-166, February.
  • Handle: RePEc:ibn:gjhsjl:v:9:y:2017:i:2:p:166
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/download/59849/32776
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/view/59849
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ruhm, Christopher J., 2000. "Parental leave and child health," Journal of Health Economics, Elsevier, vol. 19(6), pages 931-960, November.
    2. Han, Wen-Jui & Waldfogel, Jane, 2007. "Parental work schedules, family process, and early adolescents' risky behavior," Children and Youth Services Review, Elsevier, vol. 29(9), pages 1249-1266, September.
    3. Kristensen, Nicolai & Westergård-Nielsen, Niels C., 2004. "Does Low Job Satisfaction Lead to Job Mobility?," IZA Discussion Papers 1026, Institute of Labor Economics (IZA).
    4. Maurizio Pugno & Sara Depedri, 2010. "Job Performance and Job Satisfaction: An Integrated Survey," Economia politica, Società editrice il Mulino, issue 1, pages 175-210.
    5. Vimala Ramoo & Khatijah L Abdullah & Chua Yan Piaw, 2013. "The relationship between job satisfaction and intention to leave current employment among registered nurses in a teaching hospital," Journal of Clinical Nursing, John Wiley & Sons, vol. 22(21-22), pages 3141-3152, November.
    6. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic Status and Health in Childhood: The Origins of the Gradient," American Economic Review, American Economic Association, vol. 92(5), pages 1308-1334, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Romina Gambacorta & Maria Iannario, 2013. "Measuring Job Satisfaction with CUB Models," LABOUR, CEIS, vol. 27(2), pages 198-224, June.
    2. Costa-Font, Joan & Gil, Joan, 2013. "Intergenerational and socioeconomic gradients of child obesity," Social Science & Medicine, Elsevier, vol. 93(C), pages 29-37.
    3. Del Bono, Emilia & Francesconi, Marco & Ermisch, John, 2008. "Intrafamily resource allocations: a dynamic model of birth weight," ISER Working Paper Series 2008-27, Institute for Social and Economic Research.
    4. Katrina Kosec & Jie Song, 2021. "The effects of income fluctuations on undernutrition and overnutrition across the lifecycle," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2487-2509, September.
    5. Miriam Wüst, 2015. "Maternal Employment During Pregnancy and Birth Outcomes: Evidence From Danish Siblings," Health Economics, John Wiley & Sons, Ltd., vol. 24(6), pages 711-725, June.
    6. Bullinger, Lindsey Rose, 2019. "The Effect of Paid Family Leave on Infant and Parental Health in the United States," Journal of Health Economics, Elsevier, vol. 66(C), pages 101-116.
    7. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    8. Chanyoung Lee & Peter F. Orazem, 2010. "Lifetime health consequences of child labor in Brazil," Research in Labor Economics, in: Child Labor and the Transition between School and Work, pages 99-133, Emerald Group Publishing Limited.
    9. Adele Bergin, 2015. "Employer Changes and Wage Changes: Estimation with Measurement Error in a Binary Variable," LABOUR, CEIS, vol. 29(2), pages 194-223, June.
    10. Okada, Keisuke, 2012. "The effects of female HIV/AIDS status on fertility and child health in Cambodia," Journal of Asian Economics, Elsevier, vol. 23(5), pages 560-570.
    11. Elisabeth Gugl & Linda Welling, 2007. "The Early Bird gets the Worm? Birth Order Effects in a Dynamic Model of the Family," Department Discussion Papers 0710, Department of Economics, University of Victoria.
    12. Amuedo-Dorantes, Catalina & Arenas-Arroyo, Esther & Sevilla, Almudena, 2018. "Immigration enforcement and economic resources of children with likely unauthorized parents," Journal of Public Economics, Elsevier, vol. 158(C), pages 63-78.
    13. Jessamyn Schaller & Mariana Zerpa, 2019. "Short-Run Effects of Parental Job Loss on Child Health," American Journal of Health Economics, MIT Press, vol. 5(1), pages 8-41, Winter.
    14. Verónica Amarante & Marco Manacorda & Edward Miguel & Andrea Vigorito, 2016. "Do Cash Transfers Improve Birth Outcomes? Evidence from Matched Vital Statistics, Program, and Social Security Data," American Economic Journal: Economic Policy, American Economic Association, vol. 8(2), pages 1-43, May.
    15. Hope Corman & Dhaval Dave & Nancy E. Reichman, 2018. "Evolution of the Infant Health Production Function," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 6-47, July.
    16. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
    17. Eric French & John Bailey Jones, 2017. "Health, Health Insurance, and Retirement: A Survey," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 383-409, September.
    18. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    19. von Hinke Kessler Scholder S, 2009. "Genetic Markers as Instrumental Variables: An Application to Child Fat Mass and Academic Achievement," Health, Econometrics and Data Group (HEDG) Working Papers 09/25, HEDG, c/o Department of Economics, University of York.
    20. Svetlana Pashchenko & Ponpoje (Poe) Porapakkarm & Mariacristina De Nardi, 2017. "The Lifetime Costs of Bad Health," 2017 Meeting Papers 533, Society for Economic Dynamics.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:gjhsjl:v:9:y:2017:i:2:p:166. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.