We examine the link between employment status and suicide risk using a panel of US states from 1996 to 2005 with monthly data on suicides, the duration of unemployment spells and the number of job losses associated with mass layoff events. The use of aggregate data at the monthly level along with the distribution of unemployment duration allows us to separate the effect of job loss from the effect of unemployment duration, an important distinction for policy purposes, especially for the timing of potential interventions. Our results are consistent with unemployment duration being the dominant force in the relationship between job loss and suicide. Nevertheless, mass layoffs may be powerful localized events where suicide risk increases shortly afterward. Implications for the design of unemployment insurance are discussed.

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This paper employs an identification strategy based on county‐level variation in the number of fast‐food restaurants to investigate the effect of fast‐food availability on weight outcomes by geographic location, gender, and race/ethnicity. The number of interstate exits in the county of residence is employed as an instrument for restaurant location. Using the 2004–2006 Behavioral Risk Factor Surveillance System and self‐collected data on the number of fast‐food restaurants, I find that availability does not affect weight outcomes in rural counties, but does tend to increase body mass index among females and non‐Whites in medium‐density counties. These results are robust to specification choices.

We investigate how risky health behaviors and self-reported health vary with the Dow Jones Industrial Average (DJIA) and during stock market crashes. Because stock market indices are leading indicators of economic performance, this research contributes to our understanding of the macroeconomic determinants of health. Existing studies typically rely on the unemployment rate to proxy for economic performance, but this measure captures only one of many channels through which the economic environment may influence individual health decisions. We find that large, negative monthly DJIA returns, decreases in the level of the DJIA, and stock market crashes are widely associated with worsening self-reported mental health and more cigarette smoking, binge drinking, and fatal car accidents involving alcohol. These results are consistent with predictions from rational addiction models and have implications for research on the association between consumption and stock prices.

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Background: This study investigates ethnic disparities in metabolic syndrome in Malaysia. Methods: Data were obtained from the Malaysia Non-Communicable Disease Surveillance-1 (2005Surveillance-1 ( /2006. Logistic regressions of metabolic syndrome health risks on sociodemographic and health-lifestyle factors were conducted using a multiracial (Malay, Chinese, and Indian and other ethnic groups) sample of 2,366 individuals. Results: Among both males and females, the prevalence of metabolic syndrome amongst Indians was larger compared to both Malays and Chinese because Indians are more likely to exhibit central obesity, elevated fasting blood glucose, and low high-density lipoprotein cholesterol. We also found that Indians tend to engage in less physical activity and consume fewer fruits and vegetables than Malays and Chinese. Although education and family history of chronic disease are associated with metabolic syndrome status, differences in socioeconomic attributes do not explain ethnic disparities in metabolic syndrome incidence. The difference in metabolic syndrome prevalence between Chinese and Malays was not statistically significant. Whereas both groups exhibited similar obesity rates, ethnic Chinese were less likely to suffer from high fasting blood glucose. Conclusions: Metabolic syndrome disproportionately affects Indians in Malaysia. Additionally, fasting blood glucose rates differ dramatically amongst ethnic groups. Attempts to decrease health disparities among ethnic groups in Malaysia will require greater attention to improving the metabolic health of Malays, especially Indians, by encouraging healthful lifestyle changes.

SUMMARY In this paper two‐dimensional systematic sampling of land use is considered. Data for two study areas which provide a complete enumeration of land use, and which are held in digital form, are a basis for a series of sampling experiments. First, the efficiency of systematic sampling is compared with other schemes. Second, these results are related to the autocorrelation functions of the data. Third, methods for estimating sampling error from a single sample are assessed. The results reported here confirm the statistical efficiency of systematic sampling but also highlight some important unresolved issues of this approach.

The purpose of this study was to examine the sociodemographic and health-lifestyle factors that affect the likelihood of obesity among Malaysians. Data were obtained from the Malaysian Non-Communicable Disease Surveillance-1. The cross-sectional population-based survey consisted of 2447 observations, with an obesity prevalence rate of 17.2%. Based on logit regression analysis, the results suggest that obesity risks in Malaysia are affected by gender, education level, family history, health conditions, smoking status, and ethnic backgrounds. Specifically, Malaysians more likely to be obese are females (5.3%), lower educated (0.9%), those with history of family illnesses (4.8%), and nonsmokers (6.4%). However, Chinese (9.3%) and other (5.5%) ethnic groups are less likely to be obese when compared with Malays. Based on these results, several policy implications are discussed vis-à-vis obesity risks in Malaysia.