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Previous research provides evidence of a negative effect of body mass on women's economic outcomes. We extend this research by using a much older sample of individuals from the Panel Study of Income Dynamics and by using a body mass measure that is lagged by 15 years instead of the traditional 7 years. One of the main contributions of this paper is a replication of previous research findings given our differing samples and measures. We compare OLS estimates with sibling fixed effects estimates and find that obesity is associated with an 18% reduction in women's wages, a 25% reduction in women's family income, and a 16% reduction in women's probability of marriage. These effects are robust – they persist much longer than previously understood and they persist across the life course, affecting older women as well as younger women.

Past studies have shown wide variation in the obesity rates of Asian American ethnic subgroups. However, whether weight-related behaviors that occur during acculturation are associated with obesity disparities among Asian American ethnic subgroups is unknown. This study examines the differences in body mass index (BMI) across Asian American ethnic subgroups and assesses how acculturation and weight-related behaviors influence these differences. The linear regression models employed in this study use data pools from 2011 to 2014 released by the California Health Interview Survey (CHIS). The sample comprises 3,248 foreign-born Asian Americans aged 18–59 years. Asian Americans who spoke fluent English had significantly lower BMIs than those who spoke poor English, but English fluency did not explain body size disparities among Asian American ethnic subgroups. Filipino Americans had the highest average BMI (25.89 kg/m²) and obesity rate (53.12%), and they were particularly prone to engage in unhealthy weight-related behaviors, such as consuming fast food, drinking soda, and engaging in sedentary lifestyles. However, weight-related behaviors did not explain their high risk of obesity compared to other Asian American ethnic subgroups. The results underscore the potential for misinterpretation when pan-ethnic labels, such as Asian American, collapse the unique experiences of different immigrant origin groups. Future research may investigate whether other factors that affect the acculturation process, such as attitudes, self-identity, beliefs, or experiences with racism and discrimination, explain obesity disparities among Asian American ethnic subgroups.

In this study, we examined the association between girls’ participation in high school sports and the physical activity, weight, body mass, and body composition of adolescent females during the 1970s when girls’ sports participation was dramatically increasing as a result of Title IX. We found that increases in girls’ participation in high school sports, a proxy for expanded athletic opportunities for adolescent females, were associated with an increase in physical activity and an improvement in weight and body mass among girls. In contrast, adolescent boys experienced a decline in physical activity and an increase in weight and body mass during the period when girls’ athletic opportunities were expanding. Taken together, these results strongly suggest that Title IX and the increase in athletic opportunities among adolescent females it engendered had a beneficial effect on the health of adolescent girls.

Understanding how health status and physiological factors affect performance is a daunting task. This chapter will discuss physiological, behavioral, and psychological factors that influence or determine the capacity to fight, and will consider metrics that can be used to measure their status. The premise of this discussion is that there is a set of physiological and psychological factors that intimately affect performance and that the relative contribution of these variables is individually unique. These factors can be identified and assessed, and are amenable to modification. A fuller understanding of these variables can lead the effort to maintain and improve performance in the adverse and challenging environments of military operations.

This chapter analyzes which factors influence adolescent obesity by separating nutritional factors of the food consumed from socioeconomic and demographic variables.

A general linear equation is utilized to model the results empirically. A descriptive analysis is also utilized to determine which foods adolescents consume.

The empirical results found that food at home and food away from home and calories have a similar positive influence on obesity as measured by body mass index (BMI). The evidence shows that mothers have a greater influence on adolescents’ BMI than do fathers.

The results offer insight on what factors may be attributed to obesity in urban China.

Despite mixed evidence, researchers often suggest that married adults tend to live generally healthier lifestyles than their unmarried counterparts. In this chapter, we propose and test a reconceptualization of the health lifestyle that distinguishes between “homebody” risks and “hedonic” risks that may help to make sense of previous findings concerning marriage and health-related behavior.

Using data from the 2004 Survey of Adults (n = 1,385), we employ ordinary least squares regression to model indices of normative and conventional homebody risks (greater body mass, infrequent exercise, poorer diet, and abstinence from alcohol) and unconventional and potentially dangerous hedonic risks (smoking, heavy drinking, going out to bars, eating out, inadequate sleep, and driving without seatbelts) as a function of marital status.

Our key findings indicate that married adults tend to score higher on homebody risks and lower on hedonic risks than never married adults, net of controls for age, gender, race/ethnicity, citizenship, interview language, education, employment status, household income, and religious involvement.

Research limitations include cross-sectional data, restricted indicators of health-related behavior, and narrow external validity.

Contrary to previous research, we conclude that the lifestyle of married adults is not uniformly healthy.

We examine the extent to which food prices and restaurant outlet density are associated with adolescent fruit and vegetable consumption, body mass index (BMI), and the probability of overweight. We use repeated cross-sections of individual-level data on adolescents from the Monitoring the Future Surveys from 1997 to 2003 combined with fast food and fruit and vegetable prices obtained from the American Chamber of Commerce Researchers Association and fast food and full-service restaurant outlet density measures obtained from Dun & Bradstreet. The results suggest that the price of a fast food meal is an important determinant of adolescents’ body weight and eating habits: a 10% increase in the price of a fast food meal leads to a 3.0% increase in the probability of frequent fruit and vegetable consumption, a 0.4% decrease in BMI, and a 5.9% decrease in probability of overweight. The price of fruits and vegetables and restaurant outlet density are less important determinants, although these variables typically have the expected sign and are often statistically associated with our outcome measures. Despite these findings, changes in all observed economic and socio-demographic characteristics together only explain roughly one-quarter of the change in mean BMI and one-fifth of the change in overweight over the 1997–2003 sampling period.

Social scientists often speculate that both acculturation and socioeconomic status are factors that may explain differences in the body weight between Mexican Americans and whites and between Mexican Americans and Mexican immigrants, yet prior research has not explicitly theorized and tested the pathways that lead both of these upstream factors to contribute to ethnic/nativity disparities in weight. We make this contribution to the literature by developing a conceptual model drawing from Glass and McAtee’s (2006) risk regulation framework. We test this model by analyzing data from the 1999–2012 National Health and Nutrition Examination Survey (NHANES). Our conceptual model treats acculturation and socioeconomic status as risk regulators, or social factors that place individuals in positions where they are at risk for health risk behaviors that negatively influence health outcomes. We specifically argue that acculturation and low socioeconomic status contribute to less healthy diets, lower physical activity, and chronic stress, which then increases the risk of weight gain. We further contend that pathways from ethnicity/nativity and through acculturation and socioeconomic status likely explain disparities in weight gain between Mexican Americans and whites and between Mexican immigrants and whites. Study results largely support our conceptual model and have implications for thinking about solutions for reducing ethnic/nativity disparities in weight.

Diet therapy or nutritional therapy has become a real challenge in the fight against the increasing number of modern illnesses such as obesity, diabetes, cardiovascular diseases and cancers. The scientific community has recognized the importance of studies that will support or rebut the association of certain nutrition/energy inputs with the prevention and/or improvement of certain diseases. Patient counseling is offered by medical doctors, nutritionists and dieticians, but patients often seek additional sources of information from popular media that may not be adequately scientifically supported. Whose responsibility is it when the Diet Therapy is not an effective treatment and where does the consequent ethical and moral responsibility lie?

This chapter argues for the importance of a nutritionally educated scientist evaluating the diets that are seen to be related with the health improvement also excluding diets that are mostly related to the patients’ well-being as the Mediterranean, DASH (Dietary Approaches to Stop Hypertension), Ketogenic and Vegetarian diet. Diet guidelines are often explained with linguistic variables (as “reduce the input of” etc.) which can be differently perceived by the end user. The interpretation if a linguistic variable is presented using the body mass index categories using a bell-shaped curve. The preferable area fits to the linguistic variable “acceptable BMI.” But also are indicated those areas which are less preferable. Those examples of information interpretations show the necessity of knowledge transfer. The quantity of information presented in diet guidelines can be experienced as a great muddle for patients; leaving them not knowing where and how to start. So, remains the ethical and moral responsibility of all links in the chain of nutritional and diet research and recommendations. Only objective and open-minded recommendations based on the latest scientific facts can gain confidence of the social, economical, and political subjects which must put the well-being of the population uppermost in their mind.