Occupational variations in obesity, smoking, heavy drinking, and non-adherence to physical activity recommendations: findings from the 2010 National Health Interview Survey.

BACKGROUND: Understanding occupational variations in health risks is necessary to identify high risk groups. We examined the recent prevalence of obesity, heavy alcohol consumption, smoking, and leisure time physical activity (PA) across occupations. METHODS: Data from the 2010 National Health Interview Survey were used. Analysis was limited to adults, 18 and older who had a job or business the week before the interview (n = 14,754). Adjusted prevalences of outcomes across occupations were calculated using logistic regression. RESULTS: The highest prevalence of obesity was within community and social services and morbid obesity was in computer and mathematical occupations. That of smoking was highest in healthcare support, heavy drinking in food preparation and serving related, and non-adherence to PA recommendations in the farming, fishing, and forestry occupations. CONCLUSION: Important health risk factors vary across occupations. Worksite and public health interventions need to be designed and modified to address such occupational health disparities.

Prolonged financial stress predicts subsequent obesity: results from a prospective study of an Australian national sample.

OBJECTIVE: The aim of this research was to assess the association of prolonged financial stress (FS) with subsequent obesity. DESIGN AND METHODS: Data were from Waves 8 (2008), 9 (2009), and 10 (2010) of Household Income and Labor Dynamics in Australia (HILDA) survey. The outcome was obesity measured in 2010. Prolonged FS was defined as having experienced FS in both 2008 and 2009. FS was measured in each year using seven questionnaire items. Analyses adjusted for health, physical activity, income, education, baseline obesity, and other covariates. RESULTS: Prolonged FS was a strong predictor of subsequent obesity. The adjusted risk of being obese in 2010 were 20% higher (RR: 1.20; 95% CI: 1.10-1.30) among individuals who experienced FS in both 2008 and 2009 than those who did not experience FS in either year. The association of FS with obesity was independent of income and constant across income categories. CONCLUSIONS: Obesity prevention research should pay more attention to FS as an important dimension of economic deprivation, a concept that is distinct from common indicators of socioeconomic status such as income. Future research can examine the effect of financial education and counseling programs that help individuals with such skills as money management, budgeting, and saving on a reduction in FS and obesity.

The quality of male fertility data in major U.S. surveys.

Researchers continue to question fathers' willingness to report their biological children in surveys and the ability of surveys to adequately represent fathers. To address these concerns, this study evaluates the quality of men's fertility data in the 1979 and 1997 cohorts of the National Longitudinal Survey of Youth (NLSY79 and NLSY97) and in the 2002 National Survey of Family Growth (NSFG). Comparing fertility rates in each survey with population rates based on data from Vital Statistics and the U.S. Census Bureau, we document how the incomplete reporting of births in different surveys varies according to men's characteristics, including their age, race, marital status, and birth cohort. In addition, we use Monte Carlo simulations based on the NSFG data to demonstrate how birth underreporting biases associations between early parenthood and its antecedents. We find that in the NSFG, roughly four out of five early births were reported; but in the NLSY79 and NLSY97, almost nine-tenths of early births were reported. In all three surveys, incomplete reporting was especially pronounced for nonmarital births. Our results suggest that the quality of male fertility data is strongly linked to survey design and that it has implications for models of early male fertility.

For better or worse: relationship status and body mass index.

Recent increases in the incidence of obesity and declines in marriage have prompted policymakers to implement policies to mitigate these trends. This paper examines the link between these two outcomes. There are four hypotheses (selection, protection, social obligation and marriage market) that might explain the relationship between marital status transitions and changes in Body Mass Index (BMI). The selection hypothesis suggests that those with a lower BMI are more likely to be selected into marriage. The protection hypothesis states that married adults will have better physical health as a result of the increased social support and reduced incidence of risky behavior among married individuals. The social obligation hypothesis states that those in relationships may eat more regular meals and/or richer and denser foods due to social obligations which may arise because of marriage. Finally, the marriage market hypothesis indicates that when adults are no longer in the marriage market they may not maintain a healthy BMI because doing so is costly and they are in a stable union-or on the other hand, adults may enhance their prospects in the marriage market by losing weight. Taking advantage of longitudinal data and complete marriage histories in the National Longitudinal Survey of Youth 1979, we estimate individual fixed effects models to examine associations between the change in log BMI and the incidence of overweight and obesity, and changes in relationship status controlling for the effects of aging and other respondent characteristics. We find no support for the marriage protection hypothesis. Rather we find evidence supporting the social obligation and marriage market hypotheses-BMI increases for both men and women during marriage and in the course of a cohabiting relationship. Separate analyses by race and ethnicity reveal substantial differences in the response of BMI to relationship status across these groups.