Skip to main content

Advertisement

Log in

Gender Differences in Marital Status Moderation of Genetic and Environmental Influences on Subjective Health

  • Original Research
  • Published:
Behavior Genetics Aims and scope Submit manuscript

Abstract

From the IGEMS Consortium, data were available from 26,579 individuals aged 23 to 102 years on 3 subjective health items: self-rated health (SRH), health compared to others (COMP), and impact of health on activities (ACT). Marital status was a marker of environmental resources that may moderate genetic and environmental influences on subjective health. Results differed for the 3 subjective health items, indicating that they do not tap the same construct. Although there was little impact of marital status on variance components for women, marital status was a significant modifier of variance in all 3 subjective health measures for men. For both SRH and ACT, single men demonstrated greater shared and nonshared environmental variance than married men. For the COMP variable, genetic variance was greater for single men vs. married men. Results suggest gender differences in the role of marriage as a source of resources that are associated with subjective health.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Bailis DS, Segall A, Chipperfield JG (2003) Two view of self-rated general health status. Soc Sci Med 56:203–217

    Article  PubMed  Google Scholar 

  • Bardage C, Pluijm SMF, Pedersen NL, Deeg DJH, Jylhä M, Noale M, Otero Á (2005) Self-rated health among older adults: a cross-national comparison. Eur J Ageing 2:149–158

    Article  Google Scholar 

  • Benyamini Y (2011) Why does self-rated health predict mortality? An update on current knowledge and a research agenda for psychologists. Psychol Health 26:1407–1413

    Article  PubMed  Google Scholar 

  • Benyamini Y, Blumstein T, Lusky A, Modan B (2003) Gender differences in the self-rated health–mortality association: is it poor self-rated health that predicts mortality or excellent self-rated health that predicts survival? Gerontologist 43:396–405

    Article  PubMed  Google Scholar 

  • Carr D, Springer KW (2010) Advances in families and health research in the 21st century. J Marriage Fam 72:743–761

    Article  Google Scholar 

  • Chipperfield JG, Havens B (2001) Gender differences in the relationship between marital status transitions and life satisfaction in later life. J Gerontol Psychol Sci 56B:P176–P186

    Article  Google Scholar 

  • Christensen K, Holm NV, McGue M, Corder L, Vaupel JW (1999) A Danish population-based twin study on general health in the elderly. J Aging Health 11:49–64

    Article  PubMed  Google Scholar 

  • Deeg DJH, Kriegsman DMW (2003) Concepts of self-rated health: specifying the gender difference in mortality risk. Gerontologist 43:376–386

    Article  PubMed  Google Scholar 

  • Dykstra PA, de Jong Gierveld J (1994) The theory of mental incongruity, with a specific application to loneliness among widowed men and women. In: Erber R, Gilmour R (eds) Theoretical frameworks in personal relationships. Erlbaum Associates Inc, Hillsdale, NJ, pp 235–259

    Google Scholar 

  • Dykstra PA, Fokkema T (2007) Social and emotional loneliness among divorced and married men and women: comparing deficit and cognitive perspectives. Basic Appl Soc Psychol 29:1–12

    Article  Google Scholar 

  • Finkel D, McGue M (1993) The origins of individual differences in memory among the elderly: a behavior genetic analysis. Psychol Aging 8:527–537

    Article  PubMed  Google Scholar 

  • Finkel D, Pedersen NL (2004) Processing speed and longitudinal trajectories of change for cognitive abilities: the Swedish Adoption/Twin Study of Aging. Aging Neuropsychol Cogn 11:325–345

    Article  Google Scholar 

  • Finkel D, Franz CE, Horwitz B. for the IGEMS Consortium (2014) Marital status moderates gender differences in genetic and environmental influences on subjective health. Gerontologist 54(S2):647 [abstract]

  • Franz CE, Finkel D, Panizzon MS, Spoon K, Christensen K, Gatz M, et al. (2015). Genetic and environmental influences on the many facets of subjective health from early adulthood to old age. J Aging Health (in press)

  • Gatz M, Reynolds CA, Finkel D, Hahn C, Zhou Y, Zavala C (2015) Data harmonization in aging research: not so fast. Exp Aging Res (in press)

  • Idler EL, Benyamini Y (1997) Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav 38:21–37

    Article  PubMed  Google Scholar 

  • Jylhä M (2009) What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Soc Sci Med 69:307–316

    Article  PubMed  Google Scholar 

  • Jylhä M (2010) Self-rated health between psychology and biology. A response to Huisman and Deeg. Soc Sci Med 70:655–657

    Article  Google Scholar 

  • Kaprio J, Koskenvuo M (2002) Genetic and environmental factors in complex diseases: the older Finnish Twin Cohort. Twin Res 5:358–365

    Article  PubMed  Google Scholar 

  • Kaprio J, Koskenvu M, Hell R (1987) Mortality after bereavement: a prospective study of 95, 647 widowed persons. Am J Public Health 77:283–287

    Article  PubMed  PubMed Central  Google Scholar 

  • Kaprio J, Pulkkinen L, Rose RJ (2002) Genetic and environmental factors in health-related behaviors: studies on Finnish twins and twin families. Twin Res 5:366–371

    Article  PubMed  Google Scholar 

  • Kremen WS, Thompson-Brenner H, Leung YJ, Grant MD, Franz CE, Eisen SA, Lyons MJ (2006) Genes, environment, and time: The Vietnam Era Twin Study of Aging (VETSA). Twin Res Hum Genet 9:1009–1022

    Article  PubMed  Google Scholar 

  • Latham K, Peek CW (2013) Self-rated health and morbidity onset among late midlife U.S. adults. J Gerontol B 68:107–116

    Article  Google Scholar 

  • Liu H, Umberson D (2008) The times they are a changin’: marital status and health differentials from 1972 to 2003. J Health Soc Behav 49:239–253

    Article  PubMed  PubMed Central  Google Scholar 

  • Manderbacka K, Kåreholt I, Martikainen P, Lundberg O (2003) The effect of point of reference on the association between self-rated health and mortality. Soc Sci Med 56:1447–1452

    Article  PubMed  Google Scholar 

  • Manzolo L, Villari P, Pirone GM, Boccia A (2007) Marital status and moralit in the elderly: a systematic review and meta-analysis. Soc Sci Med 6:77–94

    Article  Google Scholar 

  • McClearn GE, Johansson B, Berg S, Pedersen NL, Ahern F, Petrill SA, Plomin R (1997) Substantial genetic influence on cognitive abilities in twins 80 or more years old. Science 276:1560–1563

    Article  PubMed  Google Scholar 

  • McFadden E, Luben R, Bingham S, Wareham N, Kinmonth A-L, Khaw K-T (2009) Does the association between self-rated health and mortality vary by social class? Soc Sci Med 68:275–280

    Article  PubMed  Google Scholar 

  • Neale MC, Boker SM, Xie G, Maes HH (2003) Mx: statistical modeling. Department of Psychiatry, VCU, Richmond

    Google Scholar 

  • Neiderheiser JM, Lichtenstein P (2008) The Twin and Offspring Study in Sweden: advancing our understanding of genotype-environment interplay by studying twins and their families. Acta Psychologica Sinica 40:1116–1123

    Google Scholar 

  • Osler M, McGue M, Lund R, Christensen K (2008) Marital status and twins’ health and behavior: an analysis of middle-aged Danish twins. Psychosom Med 70:482–487

    Article  PubMed  PubMed Central  Google Scholar 

  • Pedersen NL, Christensen K, Dahl A, Finkel D, Franz CE, Gatz M, Reynolds CA (2013) IGEMS: the consortium on interplay of genes and environment across multiple studies. Twin Res Hum Genet 16:481–489

    Article  PubMed  PubMed Central  Google Scholar 

  • Purcell S (2002) Variance components models for gene-environment interaction in twin analysis. Twin Res Hum Genet 5:554–571

    Article  Google Scholar 

  • Robles TF, Kiecolt-Glaser JK (2003) The physiology of marriage: pathways to health. Physiol Behav 79:409–416

    Article  PubMed  Google Scholar 

  • Rosenthal C (1985) Kinkeeping in the familial division of labor. J Marriage Fam 47:965–974

    Article  Google Scholar 

  • Sainio P, Koskinen S, Heliovaara M, Martelin T, Harkanen T, Hurri H, Aromaa A (2006) Self-reported and test-based mobility limitations in a representative sample of Finns aged 30. Scand J Public Health 34:378–386

    Article  PubMed  Google Scholar 

  • Silventoinen K, Moustgaarid H, Peltonen R, Martikainen P (2013) Changing associations between partnership history and risk of accidents, violence and suicides. J Epidemiol Community Health 67:265–270

    Article  PubMed  Google Scholar 

  • South SC, Krueger RF (2012) Genetic strategies for probing conscientiousness and its relationship to aging. Dev Psychol 50:1362–1376

    Article  PubMed  PubMed Central  Google Scholar 

  • Sprangers MAG, Schwartz CE (1999) Integrating response shift into health-related quality of life research: a theoretical model. Soc Sci Med 48:1507–1515

    Article  PubMed  Google Scholar 

  • Subramanian SV, Kubzansky L, Berkman L, Fay M, Kawachi I (2006) Neighborhood effects on the self-rated health of elders: uncovering the relative importance of structural and service-related neighborhood environments. J Gerontol Soc Sci 61B:S153–S160

    Article  Google Scholar 

  • Trumbetta SL, Markowitz EM, Gottesman II (2007) Marriage and genetic variation across the lifespan: not a steady relationship? Behav Genet 37:362–375

    Article  PubMed  Google Scholar 

  • Van der Sluis S, Dolan CV, Neale MC, Posthuma D (2008) A general test for gene-environment interaction in sib pair-based association analysis of quantitative traits. Behav Genet 38:372–389

    Article  PubMed  PubMed Central  Google Scholar 

  • Vuorisalmi M, Lintonen T, Jylhä M (2006) Comparative vs global self-rated health: associations with age and functional ability. Aging Clin Exp Res 18:211–217

    Article  PubMed  Google Scholar 

  • Waite L, Gallagher M (2000) The case for marriage: why married people are happier, healthier, and better off financially. Doubleday, New York

    Google Scholar 

  • Waite L, Laumann EO, Das A, Schumm LP (2009) Sexuality: measures of partnerships, practices, attitudes, and problems in the National Social Life, Health, and Aging Study. J Gerontol Soc Sci 64:56–66

    Article  Google Scholar 

  • Ware JE, Kosinski M, Keller SD (1994) SF-36 physical and mental health summary scales: a users’ manual. The Health Institute, Boston

    Google Scholar 

  • Weaver DA (2010) Widows and social security. Soc Secur Bull 70:89–109

    PubMed  Google Scholar 

  • Williams K, Umberson D (2004) Marital status, marital transitions, and health: a gendered life course perspective. J Health Soc Behav 45:81–98

    Article  PubMed  PubMed Central  Google Scholar 

  • Zheng H, Thomas PA (2013) Marital status, self-rated health, and mortality: overestimation of health or diminishing protection of marriage? J Health Soc Behav 54:128–143

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

IGEMS is supported by the National Institutes of Health Grant No. R01 AG037985. SATSA was supported by Grants R01 AG04563, R01 AG10175, the MacArthur Foundation Research Network on Successful Aging, the Swedish Council For Working Life and Social Research (FAS) (97:0147:1B, 2009-0795) and Swedish Research Council (825-2007-7460, 825-2009-6141). OCTO-Twin was supported by grant R01 AG08861. TOSS was supported by Grant R01 MH54610 from the National Institute of Health. The Danish Twin Registry is supported by grants from The National Program for Research Infrastructure 2007 from the Danish Agency for Science and Innovation, the Velux Foundation and the US National Institute of Health (P01 AG08761). The Minnesota Twin Study of Adult Development and Aging was supported by NIA Grant R01 AG 06886. VETSA was supported by National Institute of Health Grants NIA R01 AG018384, R01 AG018386, R01 AG022381, and R01 AG022982, and, in part, with resources of the VA San Diego Center of Excellence for Stress and Mental Health. The Cooperative Studies Program of the Office of Research & Development of the United States Department of Veterans Affairs has provided financial support for the development and maintenance of the Vietnam Era Twin Registry. MIDUS twin study was supported by the John D. and Catherine T. MacArthur Foundation Research Network on Successful Midlife Development and by National Institute on Aging Grant AG20166. Data collection and analyses in the Finnish twin cohort have been supported by ENGAGE—European Network for Genetic and Genomic Epidemiology, FP7-HEALTH-F4-2007, grant agreement number 201413, National Institute of Alcohol Abuse and Alcoholism (Grants AA-12502, AA-00145, and AA-09203 to R J Rose), and the Academy of Finland (Grants 100499, 205585, 118555, 141054, 265240, 263278 and 264146 to J. Kaprio). The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the NIA/NIH, or the VA.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Deborah Finkel.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

Research at each site was conducted according to the applicable rules of research involving human participants. Informed consent was obtained from all participants.

Additional information

For the IGEMS Consortium

Members of the consortium on Interplay of Genes and Environment across Multiple Studies (IGEMS) are listed in “Appendix”.

Appendix

Appendix

Members of the consortium on Interplay of Genes and Environment across Multiple Studies (IGEMS) include: Nancy L. Pedersen (Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, and Department of Psychology, University of Southern California, Los Angeles, CA), Kaare Christensen (Department of Epidemiology, University of Southern Denmark, Odense, Denmark), Anna Dahl (Institute of Gerontology, School of Health Sciences, Jönköping University, Jönköping, Sweden), Deborah Finkel (Department of Psychology, Indiana University Southeast, New Albany, IN), Carol E. Franz (Department of Psychiatry, University of California, San Diego, La Jolla, CA), Margaret Gatz (Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, and Department of Psychology, University of Southern California, Los Angeles, CA), Briana N. Horwitz (Department of Psychology, California State University, Fullerton, CA), Boo Johansson (Department of Psychology, University of Gothenburg, Gothenburg, Sweden), Wendy Johnson (Department of Psychology and Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK), Jaakko Kaprio, Department of Public Health, University of Helsinki, Helsinki, Finland), William S. Kremen (Center of Excellence for Stress and Mental Health, VA San Diego Healthcare Center, La Jolla, CA, and Department of Psychiatry, University of California, San Diego, La Jolla, CA), Robert Krueger (Department of Psychology, University of Minnesota, Minneapolis, MN), Michael J. Lyons (Department of Psychological and Brain Sciences, Boston University, Boston, MA), Matt McGue (Department of Psychology, University of Minnesota, Minneapolis, MN), Jenae M. Neiderhiser (Department of Psychology, The Pennsylvania State University, University Park, PA), Inge Petersen (Department of Epidemiology, University of Southern Denmark, Odense, Denmark), and Chandra A. Reynolds (Department of Psychology, University of California-Riverside, Riverside, CA).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Finkel, D., Franz, C.E., Horwitz, B. et al. Gender Differences in Marital Status Moderation of Genetic and Environmental Influences on Subjective Health. Behav Genet 46, 114–123 (2016). https://doi.org/10.1007/s10519-015-9758-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10519-015-9758-y

Keywords

Navigation