Marriage, gender and obesity in later life.

TitleMarriage, gender and obesity in later life.
Publication TypeJournal Article
Year of Publication2012
AuthorsWilson, SE
JournalEcon Hum Biol
Volume10
Issue4
Pagination431-53
Date Published2012 Dec
ISSN Number1873-6130
KeywordsAge Factors, Aged, Body Mass Index, Female, Humans, Male, Marital Status, Middle Aged, Models, Statistical, Obesity, Sex Factors, United States, Weight Gain, Weight Loss
Abstract

A large body of literature argues that marriage promotes health and increases longevity. But do these benefits extend to maintaining a healthy body weight, as the economic theory of health investment suggests they should? They do not. Using the Health and Retirement Study (HRS), I find that entry into marriage among both men and women aged 51-70 is associated with weight gain and exit from marriage with weight loss. I evaluate three additional theories with respect to the cross-sectional and longitudinal variation in the data. First, it may be that a broader set of shared risk factors (such as social obligations regarding meals) raises body mass for married couples. However, the shared risk factor model predicts that the intra-couple correlation should increase with respect to marital duration. Instead, it declines. Second, scholars have recently promoted a "crisis" model of marriage in which marital transitions, not marital status, determine differences in body mass. The crisis model is consistent with short-term effects seen for divorce, but not for the persistent weight gains associated with marriage or the persistent weight loss following widowhood. And transition models, in general, cannot explain significant cross-sectional differences across marital states in a population that is no longer experiencing many transitions, nor can it account for the prominent gender differences (in late middle-age, the heaviest group is unmarried women and the lightest are unmarried men). Third, I argue that pressures of the marriage market, in combination with gendered preferences regarding partner BMI, can account for all the longitudinal and cross-sectional patterns found in the data.

DOI10.1016/j.ehb.2012.04.012
User Guide Notes

http://www.ncbi.nlm.nih.gov/pubmed/22795874?dopt=Abstract

Endnote Keywords

marriage/Risk factors/body mass/shared risk factor

Endnote ID

69570

Alternate JournalEcon Hum Biol
Citation Key7735
PubMed ID22795874