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.Accepted manuscrip

“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.Accepted manuscrip

Does asthma impair wealth accumulation or does wealth protect against asthma?

OBJECTIVE: We investigate the association between adult asthma and wealth, testing whether the disease impairs wealth accumulation (social selection model) or if wealth protects against asthma (social causation model). METHODS: We use the National Longitudinal Survey of Youth (n = 7,644) and linear and logistic regressions to estimate the association between wealth and asthma. Changes in relative wealth following an asthma diagnosis and asthma status by increases in wealth through inheritance provide evidence on the causal direction. RESULTS: Asthma, particularly severe asthma, is associated with lower wealth. Wealth ranking does not change after a diagnosis of asthma, but inheriting a substantial sum is associated with a lower risk of severe asthma. CONCLUSION: Wealth appears to protect against severe asthma, supporting the social causation model of disease.Accepted manuscrip

Managing driver fatigue: education or motivation?

Fatigue has been recognised as the primary contributing factor in approximately 15% of all fatal road crashes in Australia. To develop effective countermeasures for managing fatigue, this study investigates why drivers continue to drive when sleepy, and driver perceptions and behaviours in regards to countermeasures. Based on responses from 305 Australian drivers, it was identified that the major reasons why these participants continued to drive when sleepy were: wanting to get to their destination; being close to home; and time factors. Participants’ perceptions and use of 18 fatigue countermeasures were investigated. It was found that participants perceived the safest strategies, including stopping and sleeping, swapping drivers and stopping for a quick nap, to be the most effective countermeasures. However, it appeared that their knowledge of safe countermeasures did not translate into their use of these strategies. For example, although the drivers perceived stopping for a quick nap to be an effective countermeasure, they reported more frequent use of less safe methods such as stopping to eat or drink and winding down the window. This finding suggests that, while practitioners should continue educating drivers, they may need a greater focus on motivating drivers to implement safe fatigue countermeasures

Obesity and the Rate of Time Preference: Is there a Connection?

We hypothesize that recent trends in U.S. and worldwide obesity are, in part, related to an increase in the marginal rate of time preference, where time preference refers to the rate at which people are willing to trade current benefit for future benefit. The higher the rate of time preference, the larger is the factor by which individuals discount the future health risks associated with current consumption. Data from the United States, as well as international evidence, suggests that a relationship between these two variables is plausible. We encourage researchers to explore the possible link between obesity and time preference, as important insights are likely to result.time preference; obesity