When does weight matter most?

Retirement behavior of cancer survivors: role of health insurance

PURPOSE

Workers who rely on employment for health insurance may be unable to reduce work during and following treatment for a serious health condition, potentially harming their health in retirement. In this study, we examine the influence of retiree and employment-contingent insurance on the retirement and health of workers diagnosed with cancer.

METHODS

This longitudinal cohort study used 2000-2018 Health and Retirement Study data to examine changes in employment, weekly hours worked, and health status measures following a cancer diagnosis. We selected respondents who reported a new cancer diagnosis (n = 354) and a matched, non-cancer sample (n = 1770), restricting both samples to those employed and younger than age 63.

RESULTS

Following a cancer diagnosis, women with retiree health insurance were 18.6 percentage points less likely to work (95% CI: - 36.3 to - 1.0; p < 0.05) relative to women with employer health insurance, but no retiree insurance. Employed women with cancer but without employment-contingent health insurance increased weekly hours worked by 34% relative to similar non-cancer controls. Men and women with a cancer diagnosis and without employment-contingent health or retiree insurance were also less likely to work (p < 0.05). Among those who stopped working, respondents with cancer and employment-contingent health insurance reported better health status than respondents without employment-contingent health insurance.

CONCLUSIONS

Cancer survivors with employer and retiree health insurance leave the workforce earlier and report better health status when they stop working than those without equivalent insurance.

IMPLICATIONS FOR CANCER SURVIVORS

Policies to support health insurance outside of employment may allow cancer survivors to retire earlier and may have positive health benefits.

Temporary and persistent overweight and long-term labor market outcomes

We study how the duration of being overweight earlier in life is related to subsequent long-term labor market outcomes. Our data on fraternal and identical twins born and raised in the same household contain weight measurements of the twins during their early adulthood measured in 1975, 1981, and 1990 and is linked to register-based administrative data on the earnings and employment from 1990 to 2009. When combined, these data enable an empirical strategy that controls for the family environment and genes shared by twins. We find that being persistently overweight during early adulthood is negatively associated with long-term earnings for both women and men. We find that for women, the association is driven by a decrease in labor market-attachment, whereas for men, the association is driven by lower annual earnings.

Productivity, obesity, and human capital: Panel data evidence

The consequences of obesity for adults and children are well documented in the extant literature. We use panel data of 105 countries from 1990 to 2019 to estimate the effect of obesity on economic performance. We predict obesity using lagged values of child obesity as instruments. Predicted obesity has a negative and significant effect on productivity. This effect is independent of the effect of human capital and other macroeconomic determinants of economic performance. There is only weak evidence that this effect operates through the deterioration of human capital formation caused by childhood obesity.

For richer, for poorer: the relationship between adolescent obesity and future household economic prosperity

Adolescent obesity not only has serious long-term health implications, but also the potential to lead to a socioeconomic trajectory of lower earnings and household income. However, the magnitude and mechanisms of such outcomes across the life course are poorly understood. Using birth cohort data from the British National Child Development Study (1958 to 2008), we examined the relationship between adolescent obesity (at age 16) and future household income, employment, wages, marriage and spousal earnings when individuals were in their 30s, 40s and 50s. We additionally investigated the role of obesity persistence from childhood (age 11) through to adulthood (age 33). After adjusting for a rich set of childhood characteristics, compared to normal weight, obesity at age 16 was associated with significantly lower levels of future household income for women (by approximately 14%), but not men. This household income penalty was greater for women with obesity in both childhood and adulthood. The household income penalty for women appeared to be driven by a lower likelihood of marriage and lower spousal earnings for those who were married, and not by their own wage penalty in the labour market. The spousal earnings penalty occurred even when obesity did not persist into adulthood.

Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle

We quantify the life-cycle effects of human and health capital on the wage distribution of women, with a focus on health capital measured by body mass. We use NLSY79 data on women followed annually up to twenty years during the time of their lives when average annual weight gain is greatest. We measure the wage impact of current body mass (i.e., the contemporaneous or direct effect) while controlling for observed measures of human capital (namely, educational attainment, employment experience, marital status tenure, and family size) and the impacts of an evolving body mass (i.e., the dynamic or indirect effects) on the endogenous histories of behaviors that produce these human capital stocks. We find significant differences in the contemporaneous and dynamic effects of body mass on wages by age, by race, and by wage level.

Evaluation of bias in estimates of early childhood obesity from parent-reported heights and weights

OBJECTIVES

We evaluated bias in estimated obesity prevalence owing to error in parental reporting. We also evaluated bias mitigation through application of Centers for Disease Control and Prevention's biologically implausible value (BIV) cutoffs.

METHODS

We simulated obesity prevalence of children aged 2 to 5 years in 2 panel surveys after counterfactually substituting parameters estimated from 1999-2008 National Health and Nutrition Examination Survey data for prevalence of extreme height and weight and for proportions obese in extreme height or weight categories.

RESULTS

Heights reported below the first and fifth height-for-age percentiles explained between one half and two thirds, respectively, of total bias in obesity prevalence. Bias was reduced by one tenth when excluding cases with height-for-age and weight-for-age BIVs and by one fifth when excluding cases with body mass-index-for-age BIVs. Applying BIVs, however, resulted in incorrect exclusion of nonnegligible proportions of obese children.

CONCLUSIONS

Correcting the reporting of children's heights in the first percentile alone may reduce overestimation of early childhood obesity prevalence in surveys with parental reporting by one half to two thirds. Excluding BIVs has limited effectiveness in mitigating this bias.