## Abstract ## Background This study was undertaken to estimate the most recent prevalence of cigarette smoking by occupation and industry in the US, using the data from the third National Health and Nutrition Examination Survey (NHANES III), 1988โ1994. ## Methods Included in NHANES III are data
Suicide mortality in the United States: Differentials by industrial and occupational groups
โ Scribed by Augustine J. Kposowa
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 129 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0271-3586
No coin nor oath required. For personal study only.
โฆ Synopsis
Background The objective of this study was to investigate variations in the risk of suicide by industrial and occupational groups. Methods Cox proportional hazards regression models were ยฎtted to the data from the National Longitudinal Mortality Study (1979ยฑ1989). In estimating the effects of industry and occupation, controls were made for the potentially confounding effects of age, sex, marital status, education, income, and region of residence. Results It was found that persons employed in mining experienced the highest risk of suicide (RR 4.29, CI 1.59, 12.13) compared to workers in ยฎnance, insurance, and real estate. Elevated risks were also observed among business and repair services (RR 4.20, CI 1.72, 10.25), professional and related services (RR 2.92, CI 1.25,6.82), and wholesale and retail trade (RR 2.71, CI 1.17,6.25). When comparisons were made by occupational status, it was found that laborers experienced the highest risk of suicide (RR 2.12, CI 1.09,4.12) when compared to farmers, farm managers, and farm workers. Conclusions There are differentials in the risk of suicide among industrial groups, and the industry with the highest risk is mining. The disparities in suicide remained even after the effects of socioeconomic and other variables were controlled. Further research needs to determine if the high suicide risk observed in some industrial groups may be linked to possible depressive symptomatology in the workplace. Am.
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