Who drinks soda pop? Economic status and adult consumption of sugar-sweetened beverages.

We use two cohorts from the National Longitudinal Surveys (NLSY79 and NLSY97), which are large, nationally representative samples of U.S. adults, to investigate consumption of sugar-sweetened beverages (SSB) by SES, using nine surveys fielded between 2008 and 2016. Previous studies used income and education to measure SES, the NLS enables us to include wealth as well. Previous studies also used cross-sectional data, whereas the NLS allows us to examine whether changes in income and wealth correlate with changes in SSB intake. The results indicate an inverse gradient in SSB consumption with respect to both income and wealth, controlling for education. However, we do not find evidence that changes in income and wealth correlate with changes in SSB intake. This finding suggests that SES influences the development of SSB consumption patterns, but changes in income and wealth generally do not alter them in adulthood.

"Do I look fat?" Self-perceived body weight and labor market outcomes.

Research reporting that greater body weight is associated with lower wages and employment, particularly among women, focuses on how employers perceive workers. In contrast, we examine whether workers' own perceptions of body weight influence labor market outcomes. Numerous studies find that misperception of body weight influences health behaviors and health, both mental and physical. For example, anorexia nervosa involves the over-perception of weight and raises the risk of cardiovascular disease. Do the health consequences of inaccurate self-perceived weight carry through to the labor market? We use the National Longitudinal Survey of Youth 1997 (NLSY97) to investigate patterns in weight misperception and three labor market outcomes. We find little evidence that either over-perception or under-perception of weight is associated with wages, weeks worked, or the number of jobs held for women and men.

The association between socioeconomic status and adult fast-food consumption in the U.S.

Health follows a socioeconomic status (SES) gradient in developed countries, with disease prevalence falling as SES rises. This pattern is partially attributed to differences in nutritional intake, with the poor eating the least healthy diets. This paper examines whether there is an SES gradient in one specific aspect of nutrition: fast-food consumption. Fast food is generally high in calories and low in nutrients. We use data from the 2008, 2010, and 2012 waves of the National Longitudinal Survey of Youth (NLSY79) to test whether adult fast-food consumption in the United States falls as monetary resources rise (n=8136). This research uses more recent data than previous fast-food studies and includes a comprehensive measure of wealth in addition to income to measure SES. We find little evidence of a gradient in adult fast-food consumption with respect to wealth. While adults in the highest quintile are 54.5% less likely to report fast-food consumption than those in the lowest quintile, adults in the second and third quintiles are no less likely to report fast food-food intake than the poorest. Contrary to popular belief, fast-food consumption rises as income rises from the lowest to middle quintiles. The variation in adult fast-food consumption across income and wealth groups is, however, small. Those in the wealthiest quintile ate about one less fast-food meal on average than those in the lowest quintile. Other factors play a bigger role in explaining fast-food consumption: reading ingredient labels is negatively associated while soda consumption and hours of work are positively associated with fast-food consumption.

Divergent Trends in US Maternity and Paternity Leave, 1994-2015.

OBJECTIVES: To determine the number and type of US workers taking maternity or paternity leave. METHODS: We created a publicly available ecological long-term series for measuring parental leave from 1994 to 2015 by using the Current Population Survey, which interviews about 60 000 randomly selected households monthly. RESULTS: The average month from 1994 to 2015 saw 273 000 women and 13 000 men on maternity or paternity leave. Maternity leave rates per 10 000 births showed no trend over 22 years (mean = 677.6). Paternity figures increased by a factor of 3, but started from a small base (14.7-54.6). We observed no national impact on maternity or paternity leave after implementation of state laws that provided paid leave. About half (51.1%) of employees on maternity or paternity leave during 2015 received paid time off. The typical woman on maternity leave was older, more likely married, more likely non-Hispanic White, and more educated than the typical woman who gave birth. CONCLUSIONS: Although the US economy has expanded dramatically since 1994, this improvement does not appear to have translated into more women taking maternity leave.

Does the U.S. Food Stamp Program contribute to adult weight gain?

Obesity poses substantial costs both to the individual and society, mainly through its impact on health and labor productivity. Because obesity is more prevalent among the poor some have raised concerns that food assistance programs may encourage excess weight. This paper investigates whether the U.S. Food Stamp Program contributes to adult participants' weight as measured by body mass index (BMI). Results suggest that the typical female food stamp participant's BMI is indeed more than 1 unit higher than someone with the same socioeconomic characteristics who is not in the program. For the average American woman, who is 5 ft 4 in. (1.63 m) tall, this means an increase in weight of 5.8 pounds (2.6 kg). While this association does not prove that the Food Stamp Program causes weight gain, it does suggest that program changes to encourage the consumption of high-nutrient, low-calorie foods should be considered.

Health and wealth. The late-20th century obesity epidemic in the U.S.

Obesity is a rapidly growing public health issue. This paper investigates obesity's relationship to individuals' wealth by analyzing data from a large U.S. longitudinal socio-economic survey. The results show a large negative association between BMI and White female's net worth, a smaller negative association for Black women and White males and no relationship for Black males. Weight changes and dieting also appear associated with wealth changes. Individuals who lose small amounts of weight experience little change in net worth, but those who lose large amounts of weight have a dramatically improved financial position, with Whites showing larger changes than Blacks.