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Journal of Child and Family Studies

, Volume 28, Issue 12, pp 3487–3498 | Cite as

Maternal Work–Family Experiences: Longitudinal Influences on Child Mental Health through Inter-Parental Conflict

  • Andisheh VahediEmail author
  • Isabel Krug
  • Matthew Fuller-Tyszkiewicz
  • Elizabeth M. Westrupp
Original Paper
  • 64 Downloads

Abstract

Objectives

Recent evidence suggests that parents’ negative experiences of combining work and family roles can have harmful effects on children, but little is known about the mechanisms that explain the crossover from the work–family interface to children’s mental health over time. This study tested whether inter-parental conflict mediated the relation between maternal work–family factors (conflict or enrichment) and subsequent child mental health problems across childhood (4–5 to 8–9 years) and adolescence (10–11 to 14–15 years).

Methods

Data were six waves from the kindergarten cohort of the Longitudinal Study of Australian Children, including mother-report of work–family conflict/enrichment and inter-parental conflict, mother- and adolescent-report of internalizing and externalizing problems, and adolescent-report of disordered eating. The final sample consisted of 2158 children and 2181 adolescents.

Results

Results from structural equation modeling indicated that during childhood, inter-parental conflict partially mediated the relation between maternal work–family conflict and child internalizing problems, but not externalizing problems. During adolescence, there was no evidence for mediation, although work–family conflict was associated with higher adolescent-reported externalizing problems; and inter-parental conflict was also associated with elevated mother-reported internalizing and externalizing problems. Both work–family conflict and enrichment were associated with elevated inter-parental conflict during childhood, but not adolescence. There was no evidence for associations between work–family factors and adolescents’ disordered eating, and work–family enrichment was not associated with child or adolescent mental health.

Conclusions

Intervention programs aimed at reducing both work–family conflict and inter-parental conflict over early childhood are likely to benefit children and families most.

Keywords

Work–family conflict Work–family enrichment Inter-parental conflict Internalizing and externalizing problems Disordered eating 

Notes

Acknowledgements

Dr. Westrupp was supported by Australian Communities Foundation through the Roberta Holmes Transition to Contemporary Parenthood Program at La Trobe University (Coronella sub-fund). This paper uses unit record data from Growing Up in Australia, the Longitudinal Study of Australian Children (LSAC). The study is conducted in partnership between the Australian Government Department of Social Services (DSS), the Australian Institute of Family Studies (AIFS) and the Australian Bureau of Statistics (ABS). The findings and views reported are those of the authors and should not be attributed to DSS, AIFS or the ABS. LSAC study design and data collection were funded by DSS. We thank all parents and children who took part in the study.

Author Contributions

AV: designed and executed the study, completed the data analyses, and wrote the paper. IK: collaborated with the design and writing of the study. MF: contributed to the statistical analyses and writing of the results. EW: collaborated.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Supplementary material

10826_2019_1532_MOESM1_ESM.docx (44 kb)
Supplementary Tables.

References

  1. Ahrons, C. R. (1981). The continuing coparental relationship between divorced spouses. American Journal of Orthopsychiatry, 51, 415–428.PubMedGoogle Scholar
  2. Allen, T. D., & Armstrong, J. (2006). Further examination of the link between work-family conflict and physical health: the role of health-related behaviors. American Behavioral Scientist, 49, 1204–1221.Google Scholar
  3. American Psychiatric Association (2000). Diagnostic and statistical manual of mental disorders: DSM-IV-TR. Washington, DC: Author.Google Scholar
  4. Australian Bureau of Statistics (2017). Labour force, Australia: Labour force status and other characteristics of families, Catalogue No. 6224.0.55.001. Canbera: Author.Google Scholar
  5. Australian Institute of Family Studies (2005). Growing up in Australia: the longitudinal study of Australian children annual report. Melbourne, VIC: Australian Department of Family and Community Services.Google Scholar
  6. Bakker, A. B., & Demerouti, E. (2012). The spillover-crossover model. In J. G. Grzywacz & E. Demerouti (Eds.), New frontiers in work and family (pp. 53–69). New York, NY: Psychology Press.Google Scholar
  7. Bauer, K. W., Hearst, M. O., Escoto, K., Berge, J. M., & Neumark-Sztainer, D. (2012). Parental employment and work-family stress: associations with family food environments. Social Science & Medicine, 75, 496–504.Google Scholar
  8. Baxter, J. (2013). Child care participation and maternal employment trends in Australia. Melbourne, VIC: Australian Institute of Family Studies.Google Scholar
  9. Bedeian, A. G., Day, D. V., & Kelloway, E. K. (1997). Correcting for measurement error attenuation in structural equation models: some important reminders. Educational and Psychological Measurement, 57, 785–799.Google Scholar
  10. Bentley, J. P., Brown, C. J., McGwin, G., Sawyer, P., Allman, R. M., & Roth, D. L. (2013). Functional status, life-space mobility, and quality of life: a longitudinal mediation analysis. Quality of Life Research, 22, 1621–1632.PubMedGoogle Scholar
  11. Bianchi, S. M., & Milkie, M. A. (2010). Work and family research in the first decade of the 21st century. Journal of Marriage and Family, 72, 705–725.Google Scholar
  12. Birch, E. R. (2005). Studies of the labour supply of Australian women: what have we learned? Economic Record, 81, 65–84.Google Scholar
  13. Byrne, B. M. (2013). Structural equation modeling with AMOS: basic concepts, applications, and programming. New York, NY: Taylor and Francis.Google Scholar
  14. Cole, D. A., & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112, 558–577.PubMedGoogle Scholar
  15. Collins, W. A., Madsen, S. D., & Susman-Stillman, A. (2002). Parenting during middle childhood. In H. Bornstein Marc (Ed.), Handbook of parenting: Vol 1. Children and parenting (2 ed., pp. 73–101). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
  16. Cooklin, A. R., Westrupp, E. M., Strazdins, L., Giallo, R., Martin, A., & Nicholson, J. M. (2015). Mothers’ work–family conflict and enrichment: associations with parenting quality and couple relationship. Child: Care, Health & Development, 41, 266–277.Google Scholar
  17. Craig, L., & Sawrikar, P. (2009). Work and family: how does the (gender) balance change as children grow? Gender, Work & Organization, 16, 684–709.Google Scholar
  18. Cummings, E. M., George, M. R., McCoy, K. P., & Davies, P. T. (2012). Interparental conflict in kindergarten and adolescent adjustment: prospective investigation of emotional security as an explanatory mechanism. Child Development, 83, 1703–1715.PubMedPubMedCentralGoogle Scholar
  19. Davies, P. T., & Cummings, E. M. (1994). Marital conflict and child adjustment: an emotional security hypothesis. Psychological Bulletin, 116, 387–411.PubMedGoogle Scholar
  20. De Los Reyes, A., Thomas, S. A., Goodman, K. L., & Kundey, S. M. (2013). Principles underlying the use of multiple informants’ reports. Annual Review of Clinical Psychology, 9, 123–149.PubMedPubMedCentralGoogle Scholar
  21. Dinh, H., Cooklin, A. R., Leach, L. S., Westrupp, E. M., Nicholson, J. M., & Strazdins, L. (2017). Parents’ transitions into and out of work-family conflict and children’s mental health: longitudinal influence via family functioning. Social Science & Medicine, 194, 42–50.Google Scholar
  22. Ferreira, T., Cadima, J., Matias, M., Vieira, J. M., Leal, T., Verschueren, K., & Matos, P. M. (2018). Trajectories of parental engagement in early childhood among dual-earner families: effects on child self-control. Developmental Psychology, 54, 731–743.PubMedGoogle Scholar
  23. George, M. W., Fairchild, A. J., Cummings, E. M., & Davies, P. T. (2014). Marital conflict in early childhood and adolescent disordered eating: emotional insecurity about the marital relationship as an explanatory mechanism. Eating Behaviors, 15, 532–539.PubMedPubMedCentralGoogle Scholar
  24. Goodman, R. (1997). The strengths and difficulties questionnaire: a research note. Journal of Child Psychology and Psychiatry and Allied Disciplines, 38, 581–586.Google Scholar
  25. Gray, M., & Sanson, A. (2005). Growing up in Australia: The longitudinal study of Australian children. Family Matters, 72, 4–9.Google Scholar
  26. Greenhaus, J. H., & Powell, G. N. (2006). When work and family are allies: a theory of work–family enrichment. Academy of Management Review, 31, 72–92.Google Scholar
  27. Guenole, N., & Brown, A. (2014). The consequences of ignoring measurement invariance for path coefficients in structural equation models. Frontiers in Psychology, 5, 1–16.Google Scholar
  28. Hart, M. S., & Kelley, M. L. (2006). Fathers’ and mothers’ work and family issues as related to internalizing and externalizing behavior of children attending day care. Journal of Family Issues, 27, 252–270.Google Scholar
  29. Hawes, D. J., & Dadds, M. R. (2004). Australian data and psychometric properties of the Strengths and Difficulties Questionnaire. Australian and New Zealand Journal of Psychiatry, 38, 644–651.PubMedGoogle Scholar
  30. Hobfoll, S. E. (1989). Conservation of resources: a new attempt at conceptualizing stress. American Psychologist, 44, 513–524.Google Scholar
  31. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55.Google Scholar
  32. Jose, P. E. (2016). The merits of using longitudinal mediation. Educational Psychologist, 51, 331–341.Google Scholar
  33. Kelly, E. L., Moen, P., Oakes, J. M., Fan, W., Okechukwu, C., Davis, K. D., & Hanson, G. C. (2014). Changing work and work-family conflict: evidence from the work, family, and health network. American Sociological Review, 79, 485–516.PubMedPubMedCentralGoogle Scholar
  34. Kotler, L. A., Cohen, P., Davies, M., Pine, D. S., & Walsh, B. T. (2001). Longitudinal relationships between childhood, adolescent, and adult eating disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 40, 1434–1440.Google Scholar
  35. Latzer, Y., Lavee, Y., & Gal, S. (2009). Marital and parent-child pelationships in families with daughters who have eating disorders. Journal of Family Issues, 30, 1201–1220.Google Scholar
  36. Lawson, K. M., Davis, K. D., McHale, S. M., Almeida, D. M., Kelly, E. L., & King, R. B. (2016). Effects of workplace intervention on affective well-being in employees’ children. Developmental Psychology, 52, 772–777.PubMedPubMedCentralGoogle Scholar
  37. Lawson, K. M., Davis, K. D., McHale, S. M., Hammer, L. B., & Buxton, O. M. (2014). Daily positive spillover and crossover from mothers’ work to youth health. Journal of Family Psychology, 28, 897–907.PubMedPubMedCentralGoogle Scholar
  38. MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 99–128.PubMedPubMedCentralGoogle Scholar
  39. Marshall, N. L., & Barnett, R. C. (1993). Work-family strains and gains among two-earner couples. Journal of Community Psychology, 21, 64–78.Google Scholar
  40. McLoyd, V. C., Toyokawa, T., & Kaplan, R. (2008). Work demands, work-family conflict, and child adjustment in African American families: the mediating role of family routines. Journal of Family Issues, 29, 1247–1267.Google Scholar
  41. Muthén, L. K., & Muthén, B. O. (1998–2015). Mplus user’s guide. 7th ed. Los Angeles, CA: Muthén and Muthén.Google Scholar
  42. Neumark-Sztainer, D., Wall, M., Larson, N. I., Eisenberg, M. E., & Loth, K. (2011). Dieting and disordered eating behaviors from adolescence to young adulthood: findings from a 10-year longitudinal study. Journal of the American Dietetic Association, 111, 1004–1011.PubMedPubMedCentralGoogle Scholar
  43. Patrick, J. H., Stahl, S. T., & Sundaram, M. (2011). Disordered eating and psychological distress among adults. International Journal of Aging and Human Development, 73, 209–226.PubMedGoogle Scholar
  44. Patton, G. C., Coffey, C., Carlin, J. B., Sanci, L., & Sawyer, S. (2008). Prognosis of adolescent partial syndromes of eating disorder. The British Journal of Psychiatry, 192, 294–299.PubMedGoogle Scholar
  45. Patton, G. C., Coffey, C., & Sawyer, S. M. (2003). The outcome of adolescent eating disorders: findings from the Victorian Adolescent Health Cohort Study. European Child & Adolescent Psychiatry, 12, 25–29.Google Scholar
  46. Roos, E., Sarlio-Lahteenkorva, S., Lallukka, T., & Lahelma, E. (2007). Associations of work-family conflicts with food habits and physical activity. Public Health Nutrition, 10, 222–229.PubMedGoogle Scholar
  47. Selzer, R., Hamill, C., Bowes, G., & Patton, G. (1996). The branched eating disorders test: validity in a nonclinical population. International Journal of Eating Disorders, 20, 57–62.PubMedGoogle Scholar
  48. Soloff, C., Lawrence, D., & Johnstone, R. (2005). LSAC technical paper No. 1: Sample design. Melbourne, VIC: Australian Institute of Family Studies.Google Scholar
  49. StataCorp. (2013). Stata statistical software: Release 13. College Station, TX: StataCorp LP.Google Scholar
  50. Stone, L. L., Otten, R., Engels, R. C. M. E., Vermulst, A. A., & Janssens, J. M. A. M. (2010). Psychometric properties of the parent and teacher versions of the strengths and difficulties questionnaire for 4-to 12-year-olds: a review. Clinical Child and Family Psychology Review, 13, 254–274.PubMedPubMedCentralGoogle Scholar
  51. Strazdins, L., Obrien, L. V., Lucas, N., & Rodgers, B. (2013). Combining work and family: rewards or risks for children’s mental health? Social Science & Medicine, 87, 99–107.Google Scholar
  52. Ten Brummelhuis, L. L., & Bakker, A. B. (2012). A resource perspective on the work-home interface: the work-home resources model. American Psychologist, 67, 545–556.PubMedGoogle Scholar
  53. Timmons, A. C., & Preacher, K. J. (2015). The importance of temporal design: how do measurement intervals affect the accuracy and efficiency of parameter estimates in longitudinal research? Multivariate Behavioral Research, 50, 41–55.PubMedGoogle Scholar
  54. Vahedi, A., Krug, I., Fuller-Tyszkiewicz, M., & Westrupp, E. M. (2018). Longitudinal associations between work-family conflict and enrichment, inter-parental conflict, and child internalizing and externalizing problems. Social Science & Medicine, 211, 251–260.Google Scholar
  55. Vieira, J. M., Matias, M., Ferreira, T., Lopez, F. G., & Matos, P. M. (2016). Parents’ work-family experiences and children’s problem behaviors: the mediating role of the parent–child relationship. Journal of Family Psychology, 30, 419–430.PubMedPubMedCentralGoogle Scholar
  56. Westman, M. (2002). Crossover of stress and strain in the family and in the workplace. In P. L. Perrewe & D. C. Ganster (Eds.), Historical and current perspectives on stress and health: research in occupational stress and well-being (pp. 143–181). Greenwich, CT: Emerald Group Publishing Limited.Google Scholar
  57. Westrupp, E. M., Rose, N., Nicholson, J. M., & Brown, S. J. (2015). Exposure to inter-parental conflict across 10 years of childhood: data from the longitudinal study of Australian children. Maternal and Child Health Journal, 19, 1966–1973.PubMedGoogle Scholar
  58. Westrupp, E. M., Strazdins, L., Martin, A., Cooklin, A. R., Zubrick, S. R., & Nicholson, J. M. (2016). Maternal work–family conflict and psychological distress: reciprocal relationships over 8 years. Journal of Marriage and Family, 78, 107–126.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Melbourne School of Psychological SciencesThe University of MelbourneMelbourneAustralia
  2. 2.School of PsychologyDeakin UniversityGeelongAustralia
  3. 3.Center for Social and Early Emotional DevelopmentDeakin UniversityBurwoodAustralia
  4. 4.Department of PaediatricsThe University of MelbourneMelbourneAustralia

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