Entry Body Mass and Earnings: Once Penalized,Ever Penalized?

It has previously been reported that an individual’s body mass index (BMI) contemporaneously penalizes wages for women, but has no effect and sometimes rewards wages for men. In young adults, we estimate the association of BMI status with initial wages to assess whether initial BMI at the beginning of an individual’s career affects initial and later earnings. We pooled data from 388 men and 305 women, aged 20–40 years, with BMI information for the first year of employment, using the Korean Labor and Income Panel Study. A labor market penalty for a higher BMI among women was found only for overweight or obese segments, particularly those with relatively higher monthly wages. Meanwhile, a higher BMI in underweight or normal weight segments could reward employment probability for women and monthly wages for men. Such rewards of relatively higher monthly wages were also estimated for men in the overweight segment. Our findings suggest discrimination as one factor penalizing higher BMI in the labor market.     

Obesity and labour market success in Finland: The difference between having a high BMI and being fat

This paper examines the relationship between obesity and labour market success in Finland, using various indicators of individual body composition along with body mass index (BMI). Weight, height, fat mass and waist circumference are measured by health professionals. We find that only waist circumference has a negative association with wages for women, whereas no obesity measure is significant in the linear wage models for men. However, all measures of obesity are negatively associated with women's employment probability and fat mass is negatively associated with men's employment probability. We also find that the use of categories for waist circumference and fat mass has a substantial influence on the results. For example, the category for high fat mass is associated with roughly 5.5% lower wages for men. All in all, the results indicate that in the absence of measures of body composition, there is a risk that labour market penalties associated with obesity are measured with bias.     

Direct and indirect effects of body weight on adult wages

Previous estimates of the association between body weight and wages in the literature have been conditional on education and occupation. In addition to the effect of current body weight status (body mass index (BMI) or obesity) on wages, this paper examines the indirect effect of body weight status in the late-teenage years on wages operating through education and occupation choice. Using the National Longitudinal Survey of Youth 1979 data, for women, we find that a one-unit increase in BMI is directly associated with 1.83% lower hourly wages whereas the indirect BMI wage penalty is not statistically significant. Neither a direct nor an indirect BMI wage penalty is found for men. However, results based on clinical weight classification reveal that the indirect wage penalty occurs to a larger extent at the upper tail of the BMI distribution for both men and women via the pathways of education and occupation outcomes. Late-teen obesity is indirectly associated with 3.5% lower hourly wages for both women and men. These results are important because they imply that the total effect of obesity on wages is significantly larger than has been estimated in previous cross-sectional studies.     

Obesity and labor market outcomes among legal immigrants to the United States from developing countries

This paper studies the association between weight and labor market outcomes among legal immigrants to the United States from developing countries using the first nationally representative survey of such individuals. We find that being overweight or obese is associated with a lower probability of employment among women who have been in the U.S. less than five years, but we find no such correlation among men who have been in the U.S. less than five years, or among women or men who have been in the U.S. longer than five years. We generally find no significant association between weight and either wages, sector of employment, or work limitations for either women or men. Possible explanations for these findings are discussed.     

Labor market engagement and the body mass index of working adults: Evidence from India

Galvanized by rapid income growth, labor market transitions in the nature of jobs, and lifestyle factors, there has been an increase in rates of obesity in many developing countries. This paper examines the relationship between BMI and sector and physical intensity of work among urban adults in India. We document that BMI is positively and significantly associated with labor market inactivity. Women in white-collar work have about 1.01 kg/m² higher BMI than women in blue-collar work. For working men, the comparable estimate is approximately 1.18 kg/m². We find that the increase in overall BMI originates from those who are already at high levels of BMI. Further, relative to the non-working sample, employment in a blue-collar occupation is associated with a BMI penalty for men and women. We find suggestive evidence that the increase in BMI for women is driven by a decline in energy expenditure, while both a decrease in energy expenditure and an increase in energy intake are important in explaining BMI dynamics for men. These results are robust to a variety of specification and methodological checks, and suggest that the increasing trend in BMI may be attributed to the transition towards a more sedentary occupational structure. Overall our research underlines the important role played by occupational engagement in determining the general health of populations in developing countries.     

Body mass index,waist circumference and employment: Evidence from older Irish adults

Data from the first wave of the Irish Longitudinal Study on Ageing are used to examine the relationship between fatness and obesity and employment status among older Irish adults. Employment status is regressed on one of the following measures of fatness: BMI and waist circumference entered linearly as continuous variables and obesity as a categorical variable defined using both BMI and waist circumference. Controls for demographic and socioeconomic characteristics, socioeconomic characteristics in childhood and physical, mental and behavioural health are also included. The regression results for women indicate that all measures of fatness are negatively associated with the probability of being employed and that the employment elasticity associated with waist circumference is larger than the elasticity associated with BMI. The results for men indicate that employment is not significantly associated with BMI and waist circumference when these are entered linearly in the regression, but it is significantly and negatively associated with obesity defined either using BMI or waist circumference as categorical variables. The results also indicate that the negative association between obesity and employment status is larger among women. For example, the probability of being employed for the obese category defined using BMI is around 8 percentage points lower for women and 5 percentage points lower for men.     

Income and body mass index in Europe

The problem of obesity is alarming public health authorities around the world. Therefore, it is important to study its determinants. In this paper, we explore the empirical relationship between household income and body mass index (BMI) in nine European Union countries. Our findings suggest that, in general, the association is negative for women and nonexistent for men. Moreover, once we decompose household income into “own labor earnings” and “other household income”, we find that the different relationship for men and women appears to be driven by the negative relationship between BMI and “own labor earnings” for women.     

The nonlinear link between height and wages in Germany, 1985–2004

Based on data of the German Socio-Economic Panel, this article investigates the relationship between height and wages by gender. Unlike previous investigations, which have been limited to an examination of linear effects, this one finds that height influences on wages are curvilinear, and more so for men than for women. More specifically, it finds that women who are shorter than average and men who are somewhat taller than average, but not among the tallest, enjoy significant wage advantages. Furthermore, using Blinder's decomposition to determine two components of wage differences, we find that these differences can be partitioned into an endowment component and unexplained influences (discrimination). There is a difference between the public and private sectors and between men and women as to the degree of the latter effect. This investigation supports the hypothesis that short and very tall men employed in the private sector are disadvantaged the most. The outcome for women is less robust than for men.     

Do employers discriminate against obese employees? Evidence from individuals who are simultaneously self-employed and working for an employer

We test whether the lower wages of obese employees result from employer discrimination using a novel empirical strategy. Using data from two nationally representative surveys from the US, we analyze the wages of individuals who are simultaneously self-employed and working for an employer. While lower productivity and customer discrimination against obese individuals may affect wages in both types of jobs, employer discrimination cannot affect the wages of solo entrepreneurs. Our estimates suggest that, even after controlling for productivity (proxied by their concurrent wage in self-employment), white women (men) who are obese earn 11.4% (9.7%) less than their healthy-weight counterparts in their paid employment jobs. We also find that white women (but not men) who are overweight earn 9.1% less than their healthy-weight counterparts. We do not find any evidence of significant bodyweight discrimination among black and Hispanic workers. These results suggest that white workers, especially white women, are likely to face bodyweight discrimination in their workplaces. We report the results for a series of robustness checks to rule out alternative explanations, such as reverse causality, differences in healthcare costs, and occupation-specific customer discrimination.     

Obesity and the labor market: A fresh look at the weight penalty

This paper applies semiparametric regression models to shed light on the relationship between body weight and labor market outcomes in Germany. We find conclusive evidence that these relationships are poorly described by linear or quadratic OLS specifications. Women's wages and employment probabilities do not follow a linear relationship and are highest at a body weight far below the clinical threshold of obesity. This indicates that looks, rather than health, is the driving force behind the adverse labor market outcomes to which overweight women are subject. Further support is lent to this notion by the fact that wage penalties for overweight and obese women are only observable in white-collar occupations. On the other hand, bigger appears to be better in the case of men, for whom employment prospects increase with weight, albeit with diminishing returns. However, underweight men in blue-collar jobs earn lower wages because they lack the muscular strength required in such occupations.     

Long-term effects of obesity on employment and work limitations among U.S. Adults, 1986 to 1999

Objective: To determine the relationships between BMI and workforce participation and the presence of work limitations in a U.S. working‐age population. Research Methods and Procedures: We used data from the Panel Study of Income Dynamics, a nationwide prospective cohort, to estimate the effect of obesity in 1986 on employment and work limitations in 1999. Individuals were classified into the following weight categories: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30), and obese (BMI ≥ 30). Using multivariable probit models, we estimated the relationships between obesity and both employment and work disability. All analyses were stratified by sex. Results: After adjusting for baseline sociodemographic characteristics, smoking status, exercise, and self‐reported health, obesity was associated with reduced employment at follow‐up [men: marginal effect (ME) ?4.8 percentage points (pp); p < 0.05; women: ME ?5.8 pp; p < 0.10]. Among employed women, being either overweight or obese was associated with an increase in self‐reported work limitations when compared with normal‐weight individuals (overweight: ME +3.9 pp; p < 0.01; obese: ME +12.6 pp; p < 0.01). Among men, the relationship between obesity and work limitations was not statistically significant. Discussion: Obesity appears to result in future productivity losses through reduced workforce participation and increased work limitations. These findings have important implications in the U.S., which is currently experiencing a rise in the prevalence of obesity.     

An investigation into the effect of type I and type II diabetes duration on employment and wages

Using data from the National Longitudinal Survey of Youth 1979, the current study examines the effect of type I and type II diabetes on employment status and wages. The results suggest that both the probability of employment and wages are negatively related to the number of years since the initial diagnosis of diabetes. Moreover, the effect of diabetes duration on the probability of employment appears to be nonlinear, peaking around 16 years for females and 10 years for males. A similar negative effect on wages is found only in male diabetics. Finally, the results suggest that failure to distinguish between type I and type II diabetics may lead to some counterintuitive results.     

Does obesity influence labour market outcomes among working-age adults? Evidence from Canadian longitudinal data

Although a negative association between obesity and labour market outcomes is commonly reported in many studies, the causal nature of this relationship remains unclear. Using nationally representative longitudinal data from the last six confidential master files (2000/2001–2010/2011) of the National Population Health Survey, we examine the association between obesity and employment participation and earnings among working-age adults in Canada. After controlling for demographic and socioeconomic characteristics, lifestyle factors and time-invariant individual heterogeneity, our results show that obesity is not significantly associated with employment participation but is associated with reduced hourly wage rate and annual income among women by about 4% and 4.5%, respectively. The corresponding results for men show that obesity is associated with about 2% reduction in wage rate and income, but significant at 10% level. However, after controlling for the potential reverse causality bias using the lagged measure of obesity, the effect of obesity on wage rate and income became positive or statistically non-significant. Our findings suggest that obesity is not causally associated with negative labour market outcomes among working-age men in Canada. For working-age women, we find limited evidence of negative labour market outcomes.     

Ethnicity- and Sex-Based Discrimination and the Maintenance of Self-Esteem

The psychological underpinnings of labor market discrimination were investigated by having participants from Israel, the West Bank and Germany (N = 205) act as employers in a stylized employment task in which they ranked, set wages, and imposed a minimum effort level on applicants. State self-esteem was measured before and after the employment task, in which applicant ethnicity and sex were salient. The applicants were real people and all behavior was monetarily incentivized. Supporting the full self-esteem hypothesis of the social identity approach, low self-esteem in women was associated with assigning higher wages to women than to men, and such behavior was related to the maintenance of self-esteem. The narrower hypothesis that successful intergroup discrimination serves to protect self-esteem received broader support. Across all participants, both ethnicity- and sex-based discrimination of out-groups were associated with the maintenance of self-esteem, with the former showing a stronger association than the latter.     

Sex difference in the effect of obesity on 24-hour mean serum gonadotropin levels.

To determine the effect of obesity on serum gonadotropin levels and any possible sex difference in the effect, we measured the 24-hour mean serum follicle-stimulating hormone (FSH) and luteinizing hormone (LH) concentrations in 62 healthy men with Body Mass Index (BMI) ranging from 20 - 94 and 61 healthy, regularly cycling women with BMIs ranging from 19 - 76. We also measured free testosterone (T) and estradiol (E2) in these subjects. There was a significant negative correlation between serum FSH and BMI in men: FSH(IU/L) = 49.9 x BMI -0.567; r = - 0.376, p = 0.0026; but a significant positive correlation between serum FSH and BMI in women: FSH(IU/L) =7.66 +/- 0.071 x BMI; r = 0.302, p = 0.018. Serum LH was weight-invariant in both sexes. In men, free T was negatively correlated with BMI: Free T (nmol/L) = 0.74 - 0.0068 x BMI; r = 0.585, p = 0.0381; and free E2 was positively correlated with BMI: Free E2 (pmol/L) = - 1.03 +/- 0.057 x BMI; r = 0.50, p = 0.0014. In obese women as a group, free T was higher than in lean women (33 +/- 6.8 S.E.M. vs. 17.4 +/- 2.0 pmol/L; p < 0.0001), and free E2 was also higher than in lean women: (6.90 +/- 0.80 vs. 4.84 +/- 0.55 pmol/L; p = 0.046). Of the many cases of hypothalamic-pituitary hormonal dysregulation that have been reported in obesity, none has been studied for sex differences. Our results mandate that possible sex differences be investigated in all cases of dysregulation.     

BMI may overestimate the prevalence of obesity among women of lower socioeconomic status

Objective: Our objective was to examine gender differences in height and weight associated with socioeconomic status (SES) and the consequent effect on body mass index in a multiethnic society. Research Methods and Procedures: A cross‐sectional study, the First Israeli National Health and Nutrition Survey, was performed on a representative population sample of 3246 adults 25 to 64 years of age, between the years 1999 to 2001. Height and weight were measured, and BMI and other weight‐height indices were calculated. SES was assessed by income and education. Results: Age‐adjusted height was significantly lower at lower levels of SES among both women and men (p < 0.001). As opposed to men, women of lower SES were heavier than those of higher SES, and the mean age‐adjusted weight was 4.6 kg higher among those of lower SES (p < 0.001). Thus, using the standard index of BMI, the prevalence of obesity was significantly higher among shorter women. Discussion: In this group of Israeli adults, the unfavorable effect of low SES on BMI was evident among women, partly due to their decreased height combined with increased weight common in this socioeconomic sector. Since BMI is only partly independent of height, it may overestimate the prevalence of obesity among women of lower SES. Alternative measures for classifying obesity in the lower SES groups that put less emphasis on height may be considered and studied.     

Relationship between body mass index and gray matter volume in 1,428 healthy individuals

Objective: To investigate any correlation between BMI and brain gray matter volume, we analyzed 1,428 healthy Japanese subjects by applying volumetric analysis and voxel‐based morphometry (VBM) using brain magnetic resonance (MR) imaging, which enables a global analysis of brain structure without a priori identification of a region of interest. Methods and Procedures: We collected brain MR images from 690 men and 738 women, and their height, weight, and other clinical information. The collected images were automatically normalized into a common standard space for an objective assessment of neuroanatomical correlations in volumetric analysis and VBM with BMI. Results: Volumetric analysis revealed a significant negative correlation in men (P < 0.001, adjusting for age, lifetime alcohol intake, history of hypertension, and diabetes mellitus), although not in women, between BMI and the gray matter ratio, which represents the percentage of gray matter volume in the intracranial volume. VBM revealed that, in men, the regional gray matter volume of the bilateral medial temporal lobes, anterior lobe of the cerebellum, occipital lobe, frontal lobe, precuneus, and midbrain showed significant negative correlations with BMI, while those of the bilateral inferior frontal gyri, posterior lobe of the cerebellum, frontal lobes, temporal lobes, thalami, and caudate heads showed significant positive correlations with BMI. Discussion: Global loss and regional alterations in gray matter volume occur in obese male subjects, suggesting that male subjects with a high BMI are at greater risk for future declines in cognition or other brain functions.     

Gender Differences in Body Satisfaction

PINGITORE, REGINA, BONNIE SPRING, DAVID GARFIELD. Gender differences in body satisfaction. Although men and women show similar rates of obesity, women more frequently engage in weight loss efforts, with potentially adverse health consequences. We surveyed 320 college-aged men and women to examine gender differences in the determinants of body dissatisfaction and the degree of importance assigned to body-weight and shape. Results indicated that, for both genders, satisfaction with bodyweight and shape decreased as body mass index (BMI) increased. Women, however, showed significantly greater body and weight dissatisfaction than men at most weight categories. Only the underweight (BMI<20) women and men were similarly satisfied with their bodyweight and shape. As BMI increased, however, women became disproportionately more dissatisfied: both normal-weight and overweight women expressed greater dissatisfaction than comparable men. College-aged women also attributed progressively more importance to both weight and shape as BMI increased, unlike college-aged men, who considered body weight equally important to (or slightly less important than) self-esteem as BMI increased. We discuss implications for the self-esteem of obese women and men.     

The price of ultra-processed foods and beverages and adult body weight: Evidence from U.S. veterans

The consumption of ultra-processed foods in the U.S. and globally has increased and is associated with lower diet quality, higher energy intake, higher body weight, and poorer health outcomes. This study drew on individual-level data on measured height and weight from U.S. Department of Veterans Affairs medical records for adults aged 20 to 64 from 2009 through 2014 linked to food and beverage price data from the Council for Community and Economic Research to examine the association between the price of ultra-processed foods and beverages and adult body mass index (BMI). We estimated geographic fixed effects models to control for unobserved heterogeneity of prices. We estimated separate models for men and women and we assessed differences in price sensitivity across subpopulations by socioeconomic status (SES). The results showed that a one-dollar increase in the price of ultra-processed foods and beverages was associated with 0.08 lower BMI units for men (p ≤ 0.05) (price elasticity of BMI of −0.01) and 0.14 lower BMI units for women (p ≤ 0.10) (price elasticity of BMI of -0.02). Higher prices of ultra-processed foods and beverages were associated with lower BMI among low-SES men (price elasticity of BMI of −0.02) and low-SES women (price elasticity of BMI of −0.07) but no statistically significant associations were found for middle- or high-SES men or women. Robustness checks based on the estimation of an individual-level fixed effects model found a consistent but smaller association between the price of ultra-processed foods and beverages and BMI among women (price elasticity of BMI of −0.01) with a relatively larger association for low-SES women (price elasticity of BMI of −0.04) but revealed no association for men highlighting the importance of accounting for individual-level unobserved heterogeneity.     

Relationships Between the Body Mass Index and Body Composition

The aims of this study were to evaluate the Body Mass Index (BMI) (weight/stature²) as a proxy for percent body fat (%BF) and to determine its association with fat-free mass (FFM). Multivariate analysis of variance and partial correlations were used to examine relationships between BMI and %BF and FFM from densitometry for 504 men and 511 women, aged 20 to 45 years. Sensitivity/specificity analyses used cut offs of 28 kg/m² in men and 26 kg/m² in women for BMI, and 25% in men and 33% in women for %BF. Significantly higher associations existed in each gender between BMI and %BF in the upper BMI tertile than in the lower BMI tertiles. In the lower BMI tertiles, correlations between BMI and FFM were approximately twice as large as those between BMI and %BF. The BMI correctly identified about 44% of obese men, and 52% of obese women when obesity was determined from %BF. BMI is an uncertain diagnostic index of obesity. Results of Receiver Operator Characteristic (ROC) analyses using %BF and total body fat, both provided a BMI of 25 kg/m² in men and 23 kg/m² in women as diagnostic screening cut offs for obesity.