To analyze demographic, socioeconomic, psychological, and behavioral differences in body mass index between male and female labor forces and to determine factors affecting males as well as females body masses. The National Health Examination Survey III (NHES III), with the permission from the Health Systems Research Institute, provided data for this study. A total of 19,200 respondents aged 1560 years were included. A multiple regression analysis was used to investigate the association between demographic characteristics, socioeconomic status, psychological and behavioral factors and BMI for both male and female samples. The mean and standard deviation of BMI for overall sample were 24.06+4.42 kg/m2, with males slightly leaner than females on the average (23.31+4.08 kg/m2 in male and 24.69+4.60 kg/m2 in female). For all strata across the entire studied characteristics, the mean and standard deviation of female BMIs were higher than its counterpart, except income (over 25,000 baht) and education (university educated). Factors influencing male and female BMIs were quite different. The mean BMI of the Thai labor forces tends to increase steadily and will approach the lower bound of overweight in the near future. The growing prevalence of overweight and obesity in Thai population heralds a large increase in the incidence of obese-related morbidity in the coming decades. Differing patterns of male and female BMIs suggest different etiology and different strategies to deal with this problem.
[...] To compare demographic, socioeconomic, psychological, and related behavioral differences in body mass index among Thai labor forces. To determine factors affecting males as well as females body masses Research Design and Method 3.1 Data The analysis of BMI of Thai population in the present study used data from the NHES III that conducted in 2003-2004. The aim of the NHES III was to provide precise information on health status of Thai population. BMI in this cross-sectional survey was collected by trained heath personnel. [...]
[...] Socioeconomic and Behavioural Correlates of Body Mass Index in Black Adults: The Pitt County Study. American Journal of Public Health. Vol pp Darwin, R.L. and James, W.R. Epidemiology and Prevention of Cardiovascular Diseases. Maryland: Aspen Publishers Field AE, Coakley EH, Must Spadano JL, Laird Dietz WH, et al. Impact of overweight on the risk of developing common chronic diseases during a 10-year period. Archives of Internal Medicine. Vol. 161(13), pp 1581- Hu, F.B., et al. Prospective Study of Major Dietary Patterns and Risk of Coronary Heart Disease in Men. [...]
[...] This finding suggested that sex and region seemed to have interaction effects on BMI of the Thai labor forces. It is not yet clear how the interaction between sex and region connected with BMI. This was subjected to further investigation We found an association between advanced age and increased BMI for both males and females, with the magnitudes of this association were about the same. It indicated that the impact of age on BMI was uniform across sex subgroups. It should be noted that the analysis of this study based on sample aged 15 60 years old. [...]
[...] Work Stress, Weight Gain and Weight Loss: Evidence for Bidirectional Effects of Job Strain on Body Mass Index in The Whitehall II study. International Journal of Obesity. Vol pp 10 Monterio, C.A., et al. Shifting Obesity Trends in Brazil. European Journal of Clinical Nutrition. Vol pp 342- National Heart, Lung, and Blood Institute. Clinical Guidelines on the Identification, Evaluation and Treatment of Overweight and Obesity in Adults. National Institute of Health, pp 10- Piyamitr Sritara. Executive Summary: Study of Risks Factors of Cardiovascular Disease in Thailand. [...]
[...] The other part discusses findings derived from multiple regression analysis of variables influencing body mass index for overall sample and for males and females, as well BMI Levels and Differentials Table 2 depicted mean BMI by demographic characteristics, socioeconomic status, psychological factors, and behavioral factors for total as well as separate sex samples. The mean BMIs were 24.06 (standard deviation, SD 4.42 ) (SD 4.08 and 24.69 (SD 4.6 ) for overall, male, and female samples respectively. Even though the mean BMI for the Thai labor force was still lower than those of some other developing and most developed countries, it tended to increase steadily and will approach the lower bound of overweight (BMI 25 kg/m2) in the near future. [...]
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