An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System

Does income have a non-linear impact on residents' BMI? Re-examining the obesity Kuznets curve

BACKGROUND

After more than 40 years of growth, the income of Chinese residents has greatly increased; however, the problems of overweight and obesity among residents have become increasingly prominent.

METHODS

We used data from the China Family Panel Studies (CFPS) to study the relationship between residents' income and obesity using the instrumental variable (IV) method.

RESULTS

The impact of income on residents' body mass index (BMI) is an inverted U-shape; that is, when income is low, BMI significantly rises with income, and when per capita income exceeds 57,066 yuan in 2023 prices (equivalent to 8,098 dollars), further increases in income will lead to a decrease in BMI.

CONCLUSIONS

The results suggest that the impact of income on resident obesity may be related to dietary behaviour and health investment. Although income increases the likelihood of health expenditure and exercise, it has an inverted U-shaped effect on whether residents consume fish, meat, fried or pickled foods, and dine out. That is, in the low-income stage, income mainly increases consumption of unhealthy foods such as fish, meat, and fried and pickled foods, leading to a significant increase in BMI. In the high-income stage, residents reduce consumption of large amounts of fish and meat, pay more attention to healthy diet and healthcare, and increase exercise, which leads to a decline in BMI and an overall inverted U-shaped impact of income on obesity. Further heterogeneous analysis showed that income has a greater impact on obesity among rural residents, those aged 50 years and older, and those with low education levels. Finally, this study provides relevant suggestions for the prevention and control (P&C) of obesity among urban and rural residents.

The Frequency and Main Characteristics of Obesity in Undocumented Migrants Receiving Medical Assistance from a Charitable Organisation in Italy

BACKGROUND

Obesity is continually growing not only in medium- and high-income countries but also in low-income countries, from where increasing numbers of migrants arrive in Western countries. We aimed to investigate the frequency and characteristics of obesity in a sample of undocumented migrants, a population for which official health data are not available.

METHODS

We collected demographic and socio-economic data and information on medical diagnoses and pharmacologic treatments for 341 undocumented migrants consecutively attending the outpatient clinic of a big non-governmental organisation in Milan, Italy, from March to July 2023. To measure obesity, we used both body mass index (BMI) and waist circumference (WC). We used multivariate robust Poisson regression models to calculate prevalence ratios (PRs) and 95% Confidence Intervals (CIs) of overweight or obesity according to socio-demographic conditions and other risk factors.

RESULTS

Using BMI, the proportion of migrants with obesity was 28.7% (95% CI 24.0-33.0%) and those with overweight represented 32.3% (95% CI 27.3-37.5%). Obesity was more frequent among Asians (53.9%, 95% CI 37.2-69.9%), followed by Latinos (38.7%, 95% CI 29.6-48.5%) and Eastern Europeans (38.2%, 95% CI 25.4-52.3%). Using WC, 68.3% (95% CI 63.1-73.2%) of migrants had values suggestive of overweight or obesity. In the multivariate analyses, overweight and obesity were more frequent in migrants with older age, with a stable employment, and who had been present in Italy for a long time, as well as in those with CV diseases. Moreover, individuals with obesity needed more medications for the cardiovascular system and for the alimentary tract and metabolism.

CONCLUSIONS

In our sample of undocumented migrants, overweight and obesity were frequent, representing an important public health issue, considering the difficulty experienced by such individuals in finding access to both prevention and healthcare services.

Time trends in Alzheimer's disease mortality attributable to metabolic risks and smoking in China from 1990 to 2019: an age-period-cohort analysis

Background

With the increase in the aging population worldwide, Alzheimer's disease has become a rapidly increasing public health concern. In the Global Burden of Disease Study 2019, there are three risk factors judged to have evidence for a causal link to Alzheimer's disease and other dementias: smoking, high body-mass index (HBMI), and high fasting plasma glucose (HFPG).

Objective

This study aimed to analyze trends in AD mortality and the relevant burden across China from 1990 to 2019, as well as their correlation with age, period, and birth cohort.

Methods

The data were extracted from the GBD 2019. Trends in AD mortality attributable to metabolic risks (HFPG and HBMI) and smoking were analyzed using Joinpoint regression. The age-period-cohort (APC) model was used to evaluate cohort and period effects.

Results

From 1990 to 2019, the overall age-standardized mortality rate of AD increased, especially in women. There was an increase in AD mortality due to smoking in the net drift, and it was more significant in women (0.46, 95%CI = [0.09, 0.82]) than men (-0.03, 95%CI = [-0.11, 0.05]). For the cause of HFPG, the net drift values for men and women were 0.82% and 0.43%. For HBMI, the values were 3.14% and 2.76%, respectively, reflecting substantial increases in AD mortality.

Conclusion

Time trends in AD mortality caused by metabolic risks and smoking in China from 1990 to 2019 have consistently increased. Therefore, it is necessary to prevent excessive weight gain and obesity during the later stages of life, especially for females.

Food deserts exposure, density of fast-food restaurants, and park access: Exploring the association of food and recreation environments with obesity and diabetes using global and local regression models

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access.

Income-related inequality in obesity and its determinants in Spain: What happens beyond the obesity threshold?

This paper computes and decomposes income-related inequalities in three metrics of obesity, namely, status, depth and severity, for Spain, a European country characterized by a universal health care system with very high and rising obesity prevalence rates. Furthermore, this paper investigates the main determinants of the reduction in obesity inequalities observed over time among the female Spanish population. To compute these inequality indexes, we use cross-sectional and individual-level data gathered from the Spanish National Health Survey. We document income-related inequalities in obesity, that are more pronounced in depth and severity and are to the detriment of poor women in Spain. University education is the most important determinant for all three inequality indexes. We further report that inequalities in obesity tend to decline over time for women, which is explained mainly by a substantial decrease in the degree of inequality in secondary education and a large decrease in the income elasticity of obesity.

Effects of food price on nutrition outcomes among women in Nigeria

Nutrition outcomes (undernutrition, overweight, and obesity) among women are growing concerns across the globe. Currently, the rate of undernutrition and overweight among women in Nigeria is ranked among the highest in Africa. A major contributory factor reported is unstable food prices in the country. This study, therefore, examined the effects of food prices on nutrition outcomes among women in Nigeria. Secondary datasets retrieved from two different sources were used for this study. Cross-sectional data on weight and height for women were obtained from Nigeria Health Demographic Survey (NHDS). Data on monthly prices of the selected food items were obtained from the Nigeria Bureau of Statistics (NBS). The data were categorized into energy dense (yam tuber, garri, rice, and maize) and nutrient dense (egg, beef, and chicken). Multinomial logit regression was used to estimate the relationship between the prices of energy and nutrient-dense food prices concerning respondents' personal and environmental characteristics such as age, wealth status, and region; as well as the three nutrition outcomes for women (undernutrition, overnutrition, and obesity). This study revealed that the prevalence of overweight and obesity among women was 19.9% and 10.3%, respectively. Nutrition outcomes (obesity and overweight) were positively correlated with the price of energy-dense food with 0.2% and 0.3%, respectively. Nutrient-dense food price is negatively correlated with undernutrition with a probability of 0.1%. The study recommends that food policy instruments such as food prices and subsidies can be introduced to favor the consumption of healthier food to stem the prevalence of overweight and obesity in Nigeria.

Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects

This paper investigates the effects of obesity, socio-economic variables, and individual-specific factors on work productivity across Italian regions. A dynamic panel data with correlated random effects is used to jointly deal with incidental parameters, endogeneity issues, and functional forms of misspecification. Methodologically, a hierarchical semiparametric Bayesian approach is involved in shrinking high dimensional model classes, and then obtaining a subset of potential predictors affecting outcomes. Monte Carlo designs are addressed to construct exact posterior distributions and then perform accurate forecasts. Cross-sectional Heterogeneity is modelled nonparametrically allowing for correlation between heterogeneous parameters and initial conditions as well as individual-specific regressors. Prevention policies and strategies to handle health and labour market prospects are also discussed.

Bad lighting: Effects of youth indoor tanning prohibitions

Indoor tanning beds (ITBs) emit UV light at high intensity and have been classified as carcinogenic to humans by the World Health Organization since 2009. We are the first to study the role of state laws prohibiting youths from indoor tanning using a difference-in-differences research design. We find that youth ITB prohibitions reduced population search intensity for tanning-related information. Among white teen girls, ITB prohibitions reduced self-reported indoor tanning and increased sun protective behaviors. We also find that youth ITB prohibitions significantly reduced the size of the indoor tanning market by increasing tanning salon closures and reducing tanning salon sales.

Butyrate and obesity: Current research status and future prospect

Over the past few decades, increasing prevalence of obesity caused an enormous medical, social, and economic burden. As the sixth most important risk factor contributing to the overall burden of disease worldwide, obesity not only directly harms the human body, but also leads to many chronic diseases such as diabetes, cardiovascular diseases (CVD), nonalcoholic fatty liver disease (NAFLD), and mental illness. Weight loss is still one of the most effective strategies against obesity and related disorders. Recently, the link between intestinal microflora and metabolic health has been constantly established. Butyrate, a four-carbon short-chain fatty acid, is a major metabolite of the gut microbiota that has many beneficial effects on metabolic health. The anti-obesity activity of butyrate has been demonstrated, but its mechanisms of action have not been fully described. This review summarizes current knowledge of butyrate, including its production, absorption, distribution, metabolism, and the effect and mechanisms involved in weight loss and obesity-related diseases. The aim was to contribute to and advance our understanding of butyrate and its role in obesity. Further exploration of butyrate and its pathway may help to identify new anti-obesity.

The effect of obesity on chronic diseases in USA: a flexible copula approach

We analyze the effect of obesity on the incidence of hypertension, hyperlipidemia and diabetes in USA using a health production theoretical framework along with a bivariate flexible semi-parametric recursive copula model that account for endogeneity. In this approach, the effects of control variables are flexibly determined using additive predictors that allow for a variety of effects. Our findings suggest that there exist a positive and significant effect of obesity on the prevalence of all chronic diseases examined. In particular, after endogeneity is accounted for, the probability of having hypertension, hyperlipidemia and diabetes for obese individuals are, respectively, 35%, 28% and 11% higher than those under the obesity threshold. These findings suggest that lowering obesity rates could lead to significant reductions in the morbidity and mortality associated with these diseases.

Are Women's Empowerment and Income Inequality Associated with Excess Weight in Latin American Cities?

While income gradients and gender inequalities in excess weight have been noted elsewhere, data from Latin American cities is lacking. We analyzed gender-specific associations between city-level women's empowerment and income inequality with individual-level overweight/obesity, assessing how these associations vary by individual education or living conditions within cities in Latin America. Data came from national surveys and censuses, and was compiled by the SALURBAL project (Urban Health in Latin America). The sample included 79,422 individuals (58.0% women), living in 538 sub-cities, 187 cities, and 8 countries. We used gender-stratified Poisson multilevel models to estimate the Prevalence Rate Ratios (PRR) for overweight/obesity (body mass index ≥ 25 kg/m2) per a unit change in city-level women's empowerment (proxied by a score that measures gender inequalities in employment and education) and income inequality (proxied by income-based Gini coefficient). We also tested whether individual education or sub-city living conditions modified such associations. Higher city labor women's empowerment (in women) and higher city Gini coefficient (in men) were associated with a lower prevalence of overweight/obesity (PRR = 0.97 (95%CI 0.94, 0.99) and PRR = 0.94 (95%CI 0.90, 0.97), respectively). The associations varied by individual education and sub-city living conditions. For labor women's empowerment, we observed weakened associations towards the null effect in women with lower education and in residents of sub-cities with worse living conditions (men and women). For the Gini coefficient, the association was stronger among men with primary education, and a negative association was observed in women with primary education. Our findings highlight the need for promoting equity-based policies and interventions to tackle the high prevalence of excess weight in Latin American cities.

Is nutrition labeling associated with decreased obesity? A quantitative approach to nutritional health policy in Ecuador

Few studies assess consumer response to nutrition labeling, especially in less-developed countries. We analyzed the link between nutrition labeling and obesity in Ecuador using a representative cross-sectional sample of 29,770 individuals from the National Health and Nutrition Survey (ENSANUT) in 2018. Nutrition labeling reduced the probability of obesity in adolescent (12-18 years old) and adult (18-59 years old) people by 4% (CI: - 5.7, - 2.2) and 8.4% (CI: - 12.7, - 4.0), respectively. The magnitude of average treatment effect of using nutrition label on obesity ranged from 0.90 (CI: - 1.299, - 0.500) to 1 (CI: - 1.355, - 0.645) BMI points for adolescent, and from 1.16 (CI: - 1.554, - 0.766) to 1.80 (CI: - 2.791, - 0.811) BMI points for adult. The effect of nutrition labeling is greater among the less obese. We recommend that health policy makers and clinicians continue to promote nutrition labeling especially where obesity is not chronic, where nutrition labeling is most successful.

Assessing the income-related inequality in obesity among the elderly in China: A decomposition analysis

Background

Obesity among the elderly imposes a significant health and economic burden. The purpose of this study was to measure the obesity prevalence and income-related inequality among older adults in China and to explore the determinants of the inequity.

Methods

Data were obtained from 4,541 older adults (60 years and older) participating in the China Family Panel Study, 2018. Obesity was defined as body mass index (BMI) ≥28 kg/m². Normalized concentration index and concentration curve were calculated to measure the income-related inequality. Decomposition analysis was used to measure the contribution of each factor to the overall unfairness.

Results

The prevalence of obesity among the respondents was 7.99%. The 95% confidence interval for the overall prevalence was 7.20-8.78%. The normalized concentration index of obesity in the elderly was 0.075 (95% confidence interval: 0.047-0.103), indicating that obesity was more concentrated among the rich (p < 0.05). Socioeconomic factors contributed the most to the overall inequality (68.73%). Health behavior factors explained 16.38% of the observed income-related inequality in obesity among the elderly in China.

Conclusions

In 2018, obesity was more concentrated among the elderly with higher incomes in China. The pro-poor income-related inequality was mainly due to the higher socioeconomic status of higher-income older adults. Health behaviors and psychosocial factors could also exacerbate the inequality. To prevent the heavy burden of obesity on the health and finances of older adults, more attention should be paid to those who are financially better off, especially those who smoke and are physically inactive, while extroverted older adults also need to be focused on. For developing countries, concern needs to be given to the obesity of the wealthy elderly as a result of economic development.

The effect of Internet access on body weight: Evidence from China

The Internet has significantly changed people's daily lives, including their health status. In this paper, we study the health implications of Internet access with a specific focus on body weight. We exploit an Internet speed upgrading project in China and conduct a difference-in-differences analysis, where the treatment intensity depends on cities' pre-existing Internet infrastructure conditions. We find consistent and robust evidence that increased Internet access reduces the incidence of being overweight. Regarding the mechanisms behind this result, we provide indirect evidence for the information channel, evidenced by improved health behaviors after the project: less engagement in risky health behaviors and increased participation in preventive health services and exercise. Internet diffusion also increases income, supporting the income channel through which the Internet can affect body weight.

The Economics of Tobacco Regulation: A Comprehensive Review

Tobacco regulation has been a major component of health policy in the developed world since the UK Royal College of Physicians' and the US Surgeon General's reports in the 1960s. Such regulation, which has intensified in the past two decades, includes cigarette taxation, place-based smoking bans in areas ranging from bars and restaurants to workplaces, and regulations designed to make tobacco products less desirable. More recently, the availability of alternative products, most notably e-cigarettes, has increased dramatically, and these products are just starting to be regulated. Despite an extensive body of research on tobacco regulations, there remains substantial debate regarding their effectiveness, and ultimately, their impact on economic welfare. We provide the first comprehensive review of the state of research in the economics of tobacco regulation in two decades.

The demand for health turns 50: Reflections

The year 2022 is the 50th anniversary of the publication of my demand for health model in "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy 80(2): 223-255, and in The Demands for Health: A Theoretical and Empirical Investigation, NBER Occasional Paper 119 New York: Columbia University Press for the NBER. To mark that occasion, this editorial focuses on the history of the model and its impacts on the field of health economics.

Childhood obesity, is fast food exposure a factor?

Access to fast food has often been blamed for the rise in obesity which in turn has motivated policies to curb the spread of fast food. However, robust evidence in this area is scarce, particularly using data outside of the US. It is difficult to estimate a causal effect of fast food given spatial sorting and ever-present exposure. We investigate whether the residential access to fast food increased BMI of adolescents at a time when fast food restaurants started to open in the UK. The time period presents the study with large spatial and temporal differences in exposure as well as plausibly exogenous variation. We merge data on the location and timing of the first openings of all fast food outlets in the UK from 1968-1986, with data on objectively measured BMI from the 1970 British Cohort Survey. The relationship between adolescent BMI and the distance from the respondents' homes and time since opening, is studied using OLS and Instrumental Variables regression. We find that fast food exposure had no effect on BMI. Extensive robustness checks do not change our conclusion.

Petrol prices and obesity

Using 13 waves of longitudinal data from Australia, we examine the relationship between petrol prices and obesity. Applying panel data models that control for individual fixed effects and the endogeneity of petrol prices, our results suggest that petrol prices have a negative effect on obesity. Specifically, our preferred instrumental variable estimates, which instrument for petrol prices using the Arca Oil Stock price and control for individual and time fixed effects, suggest that a standard deviation increase in petrol prices generates a 0.006 standard deviation decline in body mass index, while a unit increase in petrol prices results in a 2 percentage point decrease in the probability that a survey participant is obese. These results are robust to several sensitivity checks. Back of the envelope calculations suggest that our results imply that a permanent $1 per liter increase in petrol prices would reduce the number of people who were obese by 672,000 and save $1.4 billion dollars in medical expenditure related to obesity every year. We also find that frequency of participation in physical activity and expenditure on meals eaten out are channels through which petrol prices affect obesity.

Benchmarking the driver acceleration impact on vehicle energy consumption and CO2 emissions

The study proposes a methodology for quantifying the impact of real-world heterogeneous driving behavior on vehicle energy consumption, linking instantaneous acceleration heterogeneity and CO₂ emissions. Data recorded from 20 different drivers under real driving are benchmarked against the Worldwide Harmonized Light Vehicle Test Cycle (WLTC), first by correlating the speed cycle with individual driver behavior and then by quantifying the CO₂ emissions and consumption. The vehicle-Independent Driving Style metric (IDS) is used to quantify acceleration dynamicity, introducing driving style stochasticity by means of probability distribution functions. Results show that the WLTC cycle assumes a relatively smooth acceleration style compared to the observed ones. The method successfully associates acceleration dynamicity to CO₂ emissions. We observe a 5% difference in the CO₂ emissions between the most favourable and the least favourable case. The intra-driver variance reached 3%, while the inter-driver variance is below 2%. The approach can be used for quantifying the driving style induced emissions divergence.

Dietary intake and household exposures as predictors of urinary concentrations of high molecular weight phthalates and bisphenol A in a cohort of adolescents

BACKGROUND

Phthalates and bisphenol A (BPA) are endocrine disrupting chemicals used in consumer products, building materials, and food processing and packaging materials. They are associated with adverse health outcomes, especially when exposure occurs during heightened windows of susceptibility.

OBJECTIVE

We evaluated the relationship between housing and dietary characteristics and the concentration of several high-molecular-weight (HMW) phthalate metabolites and BPA in a cohort of Latina adolescents.

METHODS

We collected information on recent food consumption and housing characteristics and quantified the concentration of HMW phthalate and BPA metabolites in urine collected at two different time points. We used generalized estimating equations (GEE) to assess predictors of each metabolite.

RESULTS

No significant associations were observed between housing and dietary characteristics and metabolites of di(2-ethylhexyl) phthalate (DEHP) or BPA. In contrast, higher urinary monobenzyl phthalate (MBzP) concentration was associated with living in a home with vinyl or linoleum flooring (66.7% change, p-value <0.01), while higher urinary mono(3-carboxypropyl) phthalate (MCPP) concentration was associated with recent consumption of coffee (47.2% change, p-value <0.01), and fast food (30.3% change, p-value <0.05).

SIGNIFICANCE

These findings may be useful in targeting interventions that reduce phthalate uptake in young adults.

Association of eating motives with anthropometry, body composition, and dietary intake in healthy German adults

Effective policies to address poor food choices and dietary patterns need to consider the complex set of motives affecting eating behavior. This study examined how different eating motives are associated with anthropometry, body composition, and dietary intake. Our analysis is based on a cross-sectional sample with 429 healthy adults in three different age groups collected in Germany from 2016 to 2018. Dietary intake, Body Mass Index (BMI), waist circumference (WC), and fat-free mass (FFM) were measured by standardized methods. Eating motives were measured using The Eating Motivation Scale (TEMS). Regressing dietary intakes and anthropometric indicators on TEMS motives, we identify the main sources of variation in diet and nutritional status separately for men and women. Results indicated the Health motive to be positively associated with FFM (B±SE=1.72±0.44) and negatively with WC (B±SE=-3.23±0.81) for men. For women, the Need & Hunger motive was positively associated with FFM (B±SE=1.63±0.44) and negatively with WC (B±SE=-2.46±0.81). While Liking and Habits were the most frequently stated eating motives, we did not find them to be significantly related to the nutritional status. Other motives were associated with dietary intake but not anthropometry or body composition. The Price motive was positively and the Convenience motive was negatively associated with energy (B±SE=63.77±19.98;B±SE=-46.96±17.12) and carbohydrate intake (B±SE=7.15±2.65;B±SE=-5.98±2.27) for men. The results highlight the need for more differentiated analyses of eating motives, beyond comparing the relative importance of motives based on mean values, towards the association of motives with dietary intake and nutritional status.

Long-term effects of job loss on male health: BMI and health behaviors

Employment is one of the most critical determinants of health and health behaviors for adults. This study focuses on Ukraine and measures how an involuntary job loss - defined as job loss due to business closures, reorganizations, bankruptcies, or privatization - affects BMI, being overweight or obese, smoking, alcohol consumption, and physical activity. There are three reasons to study Ukraine in the aftermath of an enormous economic transition that resulted in employment contraction as high as 40 % compared to 1990. First, nearly all published studies on the relationship between job loss and health and health behaviors have been on developed countries, meaning that our study fills the gap in the literature on transition economies. Second, the job losses that we study are plausibly exogenous and affected a significant share of the population. Third, the longitudinal survey follows individuals for up to 10 years starting from 2003, allowing us to capture the long-term effects of past job loss on outcomes at a specific point in time and their trajectories across the life cycle. Applying growth-curve models, we show that past involuntary job loss significantly alters the age trajectories of all considered outcomes at both extensive and intensive margins.

Bittersweet: How prices of sugar-rich foods contribute to the diet-related disease epidemic in Mexico

I provide new evidence on how price changes of nutritionally similar foods, such as those rich in sugar or fats, change obesity and diet-related diseases in the context of Mexico between 1996-2010. I merge a bar-code level price dataset with product-specific nutritional composition to two datasets with health outcomes: state-level administrative and nationally representative individual-level panel data. Exploiting within-city variation in prices using fixed effects models, I show that decreased prices of sugar-rich foods increase obesity, type 2 diabetes, and hypertension prevalence; yet the prices of foods rich in other nutrients do not. Health responses to price changes are the largest for those abdominally obese or at the highest risk for chronic disease. The association between prices of sugary foods and chronic disease is meaningful: I estimate that in Mexico, price reductions of sugary foods explain roughly 15 percent of the rise in obesity and diabetes during the 15-year study period.

Smoking cessation and weight gain: Evidence from China

Cigarette smoking has long been viewed as a means to control body weight. However, studies on the association between smoking cessation and weight gain have reported mixed findings and, notably, there is limited evidence among the Chinese population - the world's largest smoker population. The extent to which smoking cessation is positively associated with body weight is of interest as excessive weight gain contributes to heart disease, diabetes, hypertension, musculoskeletal disorders, and some cancers. Additionally, concerns over weight gain may dissuade current smokers from quitting. Using data from the China Health and Nutrition Survey (CHNS), we examine the association between smoking cessation and body weight in China. To account for the nonrandom nature of smoking cessation, our research design relies on within-individual variation in smoking status to remove the influence of time-invariant unobserved differences across individuals that are correlated with both cessation and body weight. We find that smoking cessation is associated with a modest increase in weight (0.329 kg, 0.51 % off the mean) and no significant changes in the prevalence of overweight or obesity.

Children’s Health Capital Investment: Effects of U.S. Infant Breastfeeding on Teenage Obesity

Obesity, as a health and social problem with rising prevalence and soaring economic cost, is increasingly drawing scholarly and public policy attention. While many studies have suggested that infant breastfeeding protects against childhood obesity, empirical evidence on this causal relationship is fragile. Using the health capital development theory, this study exploited multiple data sources from the U.S. and a three-way error components model (ECM) with a jackknife resampling plan to estimate the effect of in-hospital breastfeeding initiation and breastfeeding for durations of 3, 6, and 12 months on the prevalence of obesity during teenage years. The main finding was that a 1% rise in the in-hospital breastfeeding initiation rate reduces the teenage obesity prevalence rate by 1.7% (9.6% of a standard deviation). The magnitude of this effect declines as the infant breastfeeding duration lengthens—e.g., the 12-month infant breastfeeding duration rate is associated with a 0.53% (3.7% of a standard deviation) reduction in obesity prevalence in the teenage years (9th to 12th grades). The study findings agree with both the behavioral and physiological theories on the long-term effects of breastfeeding, and have timely implications for public policies promoting infant breastfeeding to reduce the economic burden of teenage and later adult-stage obesity prevalence rates.

Behavioral Economic Approaches to Childhood Obesity Prevention Nutrition Policies: A Social Ecological Perspective

Childhood obesity is a significant public health concern associated with the development of the leading causes of death. Dietary factors largely contribute to childhood obesity, but prevention interventions targeting these factors have reported relatively small effect sizes. One potential explanation for the ineffectiveness of prevention efforts is lack of theoretical grounding. Behavioral economic (BE) theory describes how people choose to allocate their resources and posits that some children place higher value on palatable foods (relative reinforcing value of food) and have difficulty delaying food rewards (delay discounting). These seemingly individual-level decision making processes are influenced by higher-level variables (e.g., environment/policy) as described by the social ecological model. The purpose of this manuscript is to provide a theoretical review of policy-level childhood obesity prevention nutrition initiatives informed by BE. We reviewed two policy-level approaches: (1) incentives-/price manipulation-based policies (e.g., sugary drink tax, SNAP pilot) and (2) healthful choices as defaults (Healthy Hunger Free Kids Act/National School Lunch Program, advertising regulations, default items). We review current literature as well as its limitations and future directions. Exploration of BE theory applications for nutrition policies may help to inform future theoretically grounded policy-level public health interventions.

Rising unemployment reduces the demand for healthcare services among people with cardiovascular disease: an Australian cohort study

Cardiovascular diseases (CVDs) remain a global health challenge due to number of deaths and use of healthcare services related to the condition. Although a plethora of studies have shown the impact of unemployment on health outcomes, evidence on the unemployment effects on the demand for expensive cardiac healthcare services is rare. This study exploits longitudinal cohort dataset to examine the impact of variations in local level unemployment rate on the demand for healthcare services among working aged people with CVD in Australia. Our findings show an inverse relationship between unemployment and the demand for healthcare services. Specifically, we find that a rising unemployment reduces the demand for primary and secondary healthcare services, with the largest effect observed for hospital admissions and hospitalisation days. We further show that rising unemployment at the local level has a greater impact on CVD patients with comorbidities and those who live in nonremote areas. Finally, our estimates suggest that increasing local level unemployment averts a substantial number of healthcare services use, leading to an unintended cost savings of $1.2 million to the health sector.

Time spent exercising and obesity: An application of Lewbel's instrumental variables method

This paper examines the role physical activity plays in determining body mass using data from the American Time Use Survey. Our work is the first to address the measurement error that arises when time use during a single day-rather than average daily time use over an extended period-is used as an explanatory variable. We show that failing to account for day-to-day variation in activities results in the effects of time use on a typical day being understated. Furthermore, we account for the possibility that physical activity and body mass are jointly determined by implementing Lewbel's instrumental variables estimator that exploits first-stage heteroskedasticity rather than traditional exclusion restrictions. While averaging 30 min of transportation-related biking or walking per day lowers the BMI of men by 1.5, we find no effect of physically active leisure on the BMI of men in our sample. In contrast, 30 min of per day of either type of physical activity lowers the BMI of women by 1.

Grocery food taxes and U.S. county obesity and diabetes rates

BACKGROUND

Grocery food taxes represent a stable tax revenue stream for state and municipal government during times of adverse economic shocks such as that observed under the coronavirus disease 2019 (COVID-19) pandemic. Previous research, however, suggests a possible mechanism through which grocery taxes may adversely affect health. Our objectives are to document the spatial and temporal variation in grocery taxes and to empirically examine the statistical relationship between county-level grocery taxes and obesity and diabetes.

METHODS

We collect and assemble a novel national dataset of annual county and state-level grocery taxes from 2009 through 2016. We link this data to three-year, county-level estimates based on data from the Centers for Disease Control and Prevention on rates of obesity and diabetes and provide a nation-wide spatial characterization of grocery taxes and these two health outcomes. Using a county-level fixed effects estimator, we estimate the effect of grocery taxes on obesity and diabetes rates, also controlling for a subset of potential confounders that vary over time.

RESULTS

We find a 1 percentage point increase in grocery taxes is associated with 0.588 and 0.215 percentage point increases in the county-level obesity and diabetes rates.

CONCLUSION

Counties with grocery taxes have increased prevalence of obesity and diabetes. We estimate the economic burden of increased obesity and diabetes rates resulting from grocery taxes to be $5.9 billion. Based on this estimate, the benefit-cost ratio of removing grocery taxes across the United States only considering the effects on obesity and diabetes rates is 1.90.

Biomarkers, disability and health care demand

Using longitudinal data from a representative UK panel, we focus on a group of apparently healthy individuals with no history of disability or major chronic health condition at baseline. A latent variable structural equation model is used to analyse the predictive role of latent baseline biological health, indicated by a rich set of biomarkers, and other personal characteristics, in determining the individual's disability state and health service utilisation five years later. We find that baseline biological health affects future health service utilisation very strongly, via progression to functional disability channel. We also find systematic income gradients in future disability risks, with those of higher income experiencing a lower progress to disability. Our model reveals that observed pro-rich inequity in health care utilisation, is driven by the fact that higher-income people tend to make greater use of health care treatment, for any given biological health and disability status; this is despite the lower average need for treatment shown by the negative association of income with both baseline ill biological health and disability progression risk. Factor loadings for latent baseline health show that a broader set of blood-based biomarkers, rather than the current focus mainly on blood pressure, cholesterol and adiposity, may need to be considered for public health screening programs.

The relationship between long working hours and weight gain in older workers in Europe

BACKGROUND: Several studies have been performed on the relationship between working conditions and health. Numerous parameters still require further study, including working hours and obesity among different groups, specifically older workers in national, regional, and international levels. OBJECTIVE: Working hours have considerable effects on the socio-cultural, psychological, and economic aspects of people’s lives and health. While long working hours increases income level and raises living standards, it increases the risk of certain health problems. This study investigated whether working hours are associated with obesity in upper-middle-aged workers. METHODS: The Survey of Health, Ageing and Retirement in Europe (SHARE) dataset was used for the analyses. Analyses were carried out by means of a Cox regression of the panel dataset created with the data in question, surveyed by European Commission to 12,000 participants. RESULTS: The survey was performed in Austria, Belgium, Switzerland, Germany, Denmark, Spain, France, Greece, Italy, the Netherlands, Sweden, the Czech Republic, Poland, and Ireland. We found that in most countries, especially Sweden and the Netherlands, upper-middle-aged employees working > 59 hours per week are more likely to gain weight than their counterparts working < 59 hours. CONCLUSIONS: Our findings raise awareness of obesity in older workers, and highlight the need to regulate working conditions and hours in the European Union and other countries.

Consumers' Implicit and Explicit Recall, Understanding and Perceptions of Products with Nutrition-Related Messages: An Online Survey

This study aimed to assess consumers' implicit and explicit recall, understanding and perceptions of products with a nutrition claim and a symbol depicting 'health,' and to determine whether these perceptions differed among Nutrition Facts table (NFt) users vs. nonusers. In an online survey, participants (n = 1997) were randomized to one of eight conditions in a 2 × 2 × 2 factorial design, consisting of a label with a claim (present/absent) a heart-shaped symbol depicting 'health' (present/absent) for a healthier or less healthy soup. Participants were shown a label for 10 s and asked whether they recalled seeing a claim. If participants answered yes, they were then asked to describe their response using open-ended questions. Participants also rated the product's perceived nutritional quality and purchase intentions using seven-point Likert scales. In the claim condition, most participants (75%) were able to recall the presence of a claim, while 12% incorrectly mentioned the presence of a claim when there was none. Claims likely attracted consumers' attention and increased perceived nutritional quality, although with limited influence among NFt users (23%). The symbol depicting 'health' did not enhance perceived nutritional quality or purchase intentions. Although most participants (77%) made their decisions implicitly using the front of labels, those who used the NFt had a better understanding of the nutritional quality of products.

Obesity and food-related content aimed at children on YouTube

This article explores the intersection between advertising by food brands, practices on YouTube and child obesity. The objective is to analyse the communication features of marketing content by food brands targeting children on YouTube. The existing literature confirming the relationship between exposure to food advertising and actual consumption prioritizes television while largely ignoring the digital world. When children connect to the internet, watching videos on YouTube is their most common activity. We analyse and compare the advertising by food brands on regular TV networks (traditional advertising) with videos by child YouTubers (influencing) in Spanish. An exploratory study is conducted by means of a content analysis of 304 videos, with 12 variables grouped into 2 categories: prevalence of ultra-processed vs healthy products in advertising, and marketing style. The results reveal marked differences in practices between brands and child YouTubers, along with the rise of hybrid media forms. The conclusions highlight the absence of advertising warnings in content targeting children. Changes are recommended to increase the responsibility assumed by these media spaces that exert such a huge influence on an audience as vulnerable as children.

The effect of tobacco policies on youth physical activity

Our research examines the effects of tobacco policies on teenagers' physical activity. Smoking and physical activity are both strategies for weight management, and exercise may be a way to reduce some of the ill effects of smoking. These different links suggest that cigarette taxes could either increase or decrease physical activity. We explore this relationship using repeated cross-sectional 1991-2017 data from the national and state Youth Risk Behavior Surveillance System (YRBSS), combined with state-level policies and controls. Our smoking participation results confirm past work; cigarette taxes have a negative effect on smoking that has waned in recent years. The estimated effects of cigarette taxes on physical activity echo those of smoking; cigarette taxes decrease physical activity and, like smoking, these effects have waned recently. However, one likely avenue - sports participation - is unaffected. These results suggest that increased cigarette taxes lead to modest declines in teen physical activity, a finding consistent with youth using exercise to compensate for the health effects of smoking.

Centre-based care is a significant predictor of lower body mass index in early childhood: Longitudinal evidence from Chile

BACKGROUND

The prevalence of childhood overweight has increased by approximately 50% in the past three decades, becoming a major public health concern worldwide. In Chile, an upper middle-income country, about 38% of children between two and four years of age are overweight, almost double the average in Latin America and the Caribbean. Various environmental and individual factors, and their interactions, affect childhood weight. Emerging evidence suggests childcare may also matter. Because the public provision of centre-based care is growing, childcare may be a useful policy tool to help prevent childhood overweight.

METHODS

Using a nationally representative longitudinal survey of ~ 15 000 children in Chile (2010 and 2012), we estimated whether the type of child care (centre-based or maternal) a child attended at age 24 to 36 months was a significant predictor of the child's sex-and-age-specific body-mass-index (BMI) at age 36-48 months. We restricted our sample to children in full-time maternal care at baseline (12-24 months of age; n = 1273), but tested the robustness of results with the full sample. We compared children in centre-based care and in maternal care using difference-in-difference estimators and propensity score matching, and adjusted our estimates using child, family, and neighborhood characteristics.

RESULTS

Children attending centre-based care had 0.27 SD lower BMI than children in maternal care at follow-up (P < 0.05). We found suggestive evidence this association may be modulated by the child's socioeconomic status and by how frequently the child watched television: we found smaller BMI changes for children at the bottom 80% of socioeconomic status (P < 0.05) and also for children who frequently watched television (P < 0.10). Our results were robust to various model specifications.

CONCLUSIONS

Our findings suggest centre-based care programs, with adequate regulation and enforcement, may be a useful support to help curb the early childhood overweight epidemic, in addition to known effects in labor supply and child development.

Better Dietary Knowledge and Socioeconomic Status (SES), Better Body Mass Index? Evidence from China-An Unconditional Quantile Regression Approach

Obesity is a rapidly growing public health threat in China. Improvement of dietary knowledge may potentially reduce the risk of obesity and being overweight. However, existing studies focus on measuring the mean effects of nutrition knowledge on body mass index (BMI). There is a lack of literature on the effect of dietary knowledge on BMI, and the potential heterogeneity of the effect across the whole BMI distribution and across socioeconomic status (SES) groups. This study aims to investigate the heterogeneous nature of the relationship between dietary knowledge, SES, and BMI, using data from the China Health and Nutrition Survey (CHNS) in 2015. We employed unconditional quantile regression (UQR) to assess how the relationship between dietary knowledge, SES, and BMI varies across the whole BMI distribution, and conducted subgroup analyses using different socio-economic subsamples. Results indicate that dietary knowledge had no statistically significant impact on BMI across the BMI distribution. There was a large degree of heterogeneity in the SES effect across the BMI distribution as well as a major gender difference in the SES effect on BMI. Education had a significant and inverse association with BMI across the BMI distribution, greater at higher BMI quantiles. Income growth had a larger effect on the 50th quantile of BMI for males in the middle-income group, but was not significant for females. As income increased, males without college educations had higher BMI while females with college or higher education generally had lower BMI. The findings of this study reveal the heterogeneous nature of the relationship between SES, gender, and obesity across the entire BMI distribution, suggesting that quantile regressions might offer a valuable framework for exploring the complex relationship of dietary knowledge, demographic, and socio-economic factors on obesity.

A sales tax is better at promoting healthy diets than the fat tax and the thin subsidy

We analyze how a sales tax levied on all food products impacts the consumption of healthy food, unhealthy food, and obesity. The sales tax can stimulate the consumption of healthy meals by lowering the time costs of food preparation. Moreover, the sales tax lowers obesity under more general conditions than a tax on unhealthy food (fat tax) and a subsidy on healthy food (thin subsidy). We calibrate the model using recent consumption and time use data from the US. The thin subsidy is counterproductive and increases weight. While both the sales tax and the fat tax mitigate obesity, the former imposes a lower excess burden on consumers.

Comparisons of Self-Reported and Measured Height and Weight, BMI, and Obesity Prevalence from National Surveys: 1999-2016

OBJECTIVE

The aim of this study was to compare national estimates of self-reported and measured height and weight, BMI, and obesity prevalence among adults from US surveys.

METHODS

Self-reported height and weight data came from the National Health and Nutrition Examination Survey (NHANES), the National Health Interview Survey, and the Behavioral Risk Factor Surveillance System for the years 1999 to 2016. Measured height and weight data were available from NHANES. BMI was calculated from height and weight; obesity was defined as BMI ≥ 30.

RESULTS

In all three surveys, mean self-reported height was higher than mean measured height in NHANES for both men and women. Mean BMI from self-reported data was lower than mean BMI from measured data across all surveys. For women, mean self-reported weight, BMI, and obesity prevalence in the National Health Interview Survey and Behavioral Risk Factor Surveillance System were lower than self-report in NHANES. The distribution of BMI was narrower for self-reported than for measured data, leading to lower estimates of obesity prevalence.

CONCLUSIONS

Self-reported height, weight, BMI, and obesity prevalence were not identical across the three surveys, particularly for women. Patterns of misreporting of height and weight and their effects on BMI and obesity prevalence are complex.

Multilevel legal approaches to obesity prevention: A conceptual and methodological toolkit

INTRODUCTION

State lawmakers have explored numerous policy alternatives to reduce overweight and obesity. Evaluating effects of these laws is important but presents substantial methodological challenges. We present a conceptual framework that allows for classification of obesity prevention laws based on ecological level of influence and the underlying legal mechanism involved to guide analysis of the relationship between a substantial range of obesity prevention laws and BMI.

METHODS

Obesity prevention laws (OPLs) for all 50 states and DC were obtained via primary legal research using the LexisNexis Advanced Legislative Services (ALS) database. For legal provisions that met inclusion criteria, reviewers abstracted information on bill state, citation, passage and effective dates, target population, and obesity prevention mechanism. Laws were categorized by ecological level of influence on weight-related behaviors and the legal mechanism utilized to change behavioral determinants of BMI.

RESULTS

Laws designed to increase community-level opportunities for physical activity were the most frequently enacted OPL while laws designed to alter nutrition standards for school meals or competitive foods were comparatively less common, appearing in only 16% and 34% of states, respectively.

CONCLUSION

Prior studies of obesity policies have focused on specific interventions. We identified and categorized state-level laws that operate at all ecological levels and found that laws passed during the initial burst of lawmaking were largely confined to measures aimed at increasing opportunities for physical activity. Creating public spaces for recreation is an important step to promoting healthier lifestyles to reduce obesity risk; more comprehensive, multilevel legal approaches should also be pursued.

How does body mass index affect economic growth? A comparative analysis of countries by levels of economic development

The WHO views obesity as a significant risk to population health. Evidence suggests that obesity reduces labor-market attachment, worker productivity, and earnings. This link at the micro level may translate into adverse effects on economic growth at the macro level. Few studies have evaluated how body mass index impacts economic growth across and within countries. This sparse evidence base reflects the lack of consistent data across a broad spectrum of countries and timespan, as well as the empirical difficulties in bypassing endogeneity bias relating to unobserved selection and potential reverse causality between bodyweight and GDP. We address both of these challenges by first assembling a comprehensive panel of data spanning 116 countries over 25 years (1984-2008), and then presenting, to the best of our knowledge, the first empirical study of economic growth and obesiy correcting for endogeneity. Our GMM estimates indicate that, in developed countries, a higher level of BMI has direct negative effects on economic growth in a fully saturated model that controls for levels of human capital. In particular, we predict that the increase in BMI over the time period of analysis may have reduced potential economic growth over this period by between 3.5-5.8 percentage points.

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.

Efficacy of population-wide diabetes and obesity prevention programs: An overview of systematic reviews on proximal, intermediate, and distal outcomes and a meta-analysis of impact on BMI

We conducted an overview of systematic reviews and a meta-analysis of the impact on body mass index (BMI) of primary studies of population-wide obesity and diabetes prevention programs, in order to evaluate their efficacy. We searched eight databases for reviews of population-level programs reporting effect on diet, physical activity, BMI, or prevalence of obesity/overweight or type 2 diabetes mellitus (T2DM). Meta-analysis of primary studies within reviews reporting effect on BMI. Interventions were categorized using ANGELO framework and quality assessment using AMSTAR. Fifty-three systematic reviews were included. Primary studies were largely natural experiments or cross-sectional studies of national data. Increased price of sugar-sweetened beverages (SSBs) and fast food, decreased price of fruit and vegetables, food labelling, and grocery store interventions were associated with positive effects on diet. Park and playground renovations and point-of-choice prompts to increase stair use were associated with positive effects on physical activity. Increased price of SSBs, menu labelling, grocery store interventions, and multicomponent interventions were associated with small reductions in BMI. There was insufficient evidence of impact of any interventions on the prevalence of overweight, obesity, or T2DM. We have identified a promising suite of population-wide actions to improve diet, increase physical activity, and reduce BMI. Impact on subsequent incidence of T2DM remains speculative.

Built Environment Exposures of Adults in the Moving to Opportunity Experiment

This paper describes environmental exposures of adult participants in the Moving to Opportunity for Fair Housing (MTO) experiment over a four to seven year period from baseline to the interim evaluation. The MTO experiment randomized participants living in public housing or private assisted housing at baseline into experimental and control groups and provided a housing voucher for experimental group participants to move to neighborhoods with less than 10 percent of the population below the poverty line. However, few studies have examined how this move affected exposures to health promoting environments. We used data on residential locations of MTO participants and archival data on the built and food environment to construct environmental exposure variables. MTO participants in the experimental and Section 8 groups lived in neighborhoods with higher food prices, less high intensity development and more open space relative to the control group. The findings suggest that housing policies can have potential health consequences by altering health-related environmental exposures.

Effects of Contextual Economic Factors on Childhood Obesity

OBJECTIVES

To examine the association between changes in contextual economic factors on childhood obesity in the US.

METHODS

We combined data from 2003, 2007, and 2011/2012 National Surveys of Children's Health for 129,781 children aged 10-17 with 27 state-level variables capturing general economic conditions, labor supply, and the monetary or time costs of calorie intake, physical activity, and cigarette smoking. We employed regression models controlling for demographic factors and state and year fixed effects. We also examined heterogeneity in economic effects by household income.

RESULTS

Obesity risk increased with workforce proportion in blue-collar occupations, urban sprawl, female labor force participation, and number of convenience stores but declined with median household income, smoking ban in restaurants, and full service restaurants per capita. Most effects were specific to low income households, except for density of supercenters/warehouse clubs which was significantly associated with higher overweight/obesity risk only in higher income households.

CONCLUSIONS FOR PRACTICE

Changes in state-level economic factors related to labor supply and monetary or time cost of calorie intake may affect childhood obesity especially for children in low-income households. Policymakers should consider these effects when designing programs aimed at reducing childhood obesity.

Income distribution and health: can polarization explain health outcomes better than inequality?

Utilizing data from the China Health and Nutrition Survey (CHNS) from 1991 to 2011, we aim to analyze the effects of income distribution on two risks for chronic diseases: body mass index (BMI) and blood pressure. Unlike the previous studies, we consider two different kinds of indicators of income distribution: inequality and polarization. Different from relative inequality indicators such as the Gini index, which measure income gaps only, the recently developed polarization indicator captures group clustering and social alienation, in addition to income gaps. Our empirical results demonstrate that both BMI and blood pressure are positively correlated with income polarization, while inequality is a weaker predictor of these health outcomes. Thus, polarization, rather than inequality, should be used when analyzing the relationship between health outcomes and income distribution. We also examine the polarization-to-health transmission mechanism using mediation and moderation analytic frameworks. The results suggest that social networks mediate the effect of polarization on BMI and neutralize the effect on blood pressure.

Supermarket access and childhood bodyweight: Evidence from store openings and closings

Retail food environment is increasingly considered in relation to obesity. This study investigates the impacts of access to supermarkets, the primary source of healthy foods in the United States, on the bodyweight of children. Empirical analysis uses individual-level panel data covering health screenings of public schoolchildren from Arkansas with annual georeferenced business lists, and utilizes the variations of supermarket openings and closings. There is little overall impact in either case. However, supermarket openings are found to reduce the BMI z-scores of low-income children by 0.090 to 0.096 standard deviations. Such impact remains in a variety of robustness exercises. Therefore, improvement in healthy food access could at least help reduce childhood obesity rates among certain population groups.

Inter-brand competition in the convenience store industry, store density and healthcare utilization

We investigate the impact of access to convenience stores and competition between convenience store chains on the use of medical care in Taiwan. Using insurance claims from 0.85 million individuals and administrative data on store sales, we find that greater store density and more inter-brand competition reduced expenditures on outpatient medical services and prescription drugs. In support of these findings, we demonstrate that convenience store competition was associated with greater consumption of healthy foods and lower obesity rates. Our estimates suggest that the rise in convenience store competition from 2002 to 2012 reduced outpatient expenditures in Taiwan by 0.44 percent and prescription drug expenditures by 0.85 percent.

The Complexity of Food Provisioning Decisions by Māori Caregivers to Ensure the Happiness and Health of Their Children

Obesity in children is a global health concern. In New Zealand, one in three school entrant children are overweight or obese. Māori, the indigenous people, are disproportionately represented among the lowest economic group and have a disproportionately high incidence of obesity. This study explored Māori parents' and caregivers' views of the relative importance of weight to health, and the facilitators and barriers to a healthy weight in children aged 6 months to 5 years. Using a grounded qualitative method, in-depth information was collected in focus groups with mostly urban parents and other caregivers. A general inductive thematic analysis (content driven) was used. Insufficient money was an overriding food provisioning factor, but cost interacted with the lack of time, the number of people to feed, their appetites, and allergies. Other factors included ideologies about healthy food, cultural values relating to food selection, serving, and eating, nutrition literacy, availability of food, cooking skills, and lack of help. Childhood obesity was not a priority concern for participants, though they supported interventions providing education on how to grow vegetables, how to plan and cook cheaper meals. Holistic interventions to reduce the negative effects of the economic and social determinants on child health more broadly were recommended.

Hours of work and health in Japan

PURPOSE

This article aimed to examine the causal relationships of hours of work with health behaviors and health outcomes.

METHOD

The data were derived from Japan Household Panel Survey/Keio Household Panel Survey. In total, data from 2677 men and 2170 women were analyzed to show the effects of hours of work on body mass index, smoking, and sleeping hours. To deal with the potential endogeneity of decisions about hours of work, the instrumental variable approach was used.

RESULTS

Hours of work had a negative impact on hours of sleep among men (coefficient [coef.], -0.371; 95% confidence interval [CI], -0.519 to -0.223). Longer hours of work also increased the probability of men being obese (coef., 1.108; 95% CI, 0.234-1.981) and the number of cigarettes they smoked each day (coef., 1.007; 95% CI, 0.037-1.978). For women, longer hours of work increased the probability of being obese (coef., 0.029; 95% CI, 0.009-0.050) and decreased the hours of sleep (coef., -0.416; 95% CI, -0.618 to -0.214).

CONCLUSIONS

This article suggests that the health consequences of long hours of work include health behaviors and health outcomes that can lead to higher risks of morbidity and mortality.