ArticleJournal of community health2010
Prevalence of obesity and factors associated with it in a worksite setting in Malaysia.
Article in Journal of community health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Association between Different Types of Edible Oils and Anthropometric Indices Mood, and Appetite among Women.International journal of clinical practice · 2022Article
- Associations between Health-Related Physical Fitness and Cardiovascular Disease Risk Factors in Overweight and Obese University Staff.International journal of environmental research and public health · 2020Article
- The comparison of waist circumference, waist-to-hip ratio, and waist-to-height ratio among rural women adults in the North of Iran, between the years 2004 and 2013.ARYA atherosclerosis · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Socio-economic status, lifestyle behaviors, and psychosocial factors have been implicated in the development of overweight and obesity. This study aims to observe the prevalence of overweight and obesity in an academic worksite and to examine the possible association between variables such as socio-economic characteristics, work factors, psychosocial factors, and weight control behaviors and obesity. In this study, the target population were full-time academic and non-academic staff. Body mass index (BMI) and waist circumference (WC) were computed to determine obesity. A pretested self-administered questionnaire was used to obtain information on socio-demographic factors, work related factors, psychosocial factors, and weight control behaviors. Data were obtained on 367 adults of whom 39.2% were males and 60.8% females. Overweight was seen in 31.9% of males and 26.5% of females while 16.1% of them were obese, irrespective of gender. Central obesity was noted in about 37% of males and 39% of females. The results showed that socio-demographic factors (age, gender, and education) and psychosocial factors (perceived health status, body weight perception, and weight-control goals) were significantly associated with BMI. Working hours were also significantly associated with BMI. However, weight control practices (diet-control practices and physical activity practices) were not significantly associated with BMI. In conclusion, this study found a higher prevalence of overweight and obesity among employees of a selected public university in comparison to the general population. Socio-demographic, psychosocial factors, and working hours were found to contribute to obesity in this sample of adults.
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