지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.8
- 수록면
- 45 - 53 (9page)
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초록· 키워드
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Background: Previous studies have identified a link between gender and the various risk factors associated with obesity. We examined obesity risk factors in working adults to identify the effects of differences in body mass index (BMI) and percentage body fat (PBF) between women and men.
Methods: A total of 1,120 adults agreed to participate in the study. Data from 711 participants, including 411 women and 300 men, were analyzed. Multiple logistic regression analysis was used to estimate the effects of risk factors on obesity and being overweight. In addition, the least-squares (LS) means of both BMI and PBF were estimated by analysis of covariance (ANCOVA) in a generalized linear model.
Results: Increases in BMI and PBF were significantly related to an age ＞ 50 years and long working hours in women after compensating for confounding factors. Using the PBF criterion, the odds ratio (OR) of being overweight or obese in women ＞ 50 years of age who worked for ＞ 9 h a day was 3.9 (95% confidence interval [CI], 1.05–11.00). For BMI, women who were ＞ 50 years of age and worked for ＞ 9 h a day were 3.82 times (95% CI, 1.31–11.14) more likely to be overweight or obese than those who were ＜ 50 years of age and worked for ＜ 9 h a day.
Conclusion: Obesity in working adults was associated with ＞ 50 years of age and long working hours in women. Further studies are needed to investigate the underlying mechanisms of this relationship and its potential implications for the prevention and management of excess weight and obesity.
Methods: A total of 1,120 adults agreed to participate in the study. Data from 711 participants, including 411 women and 300 men, were analyzed. Multiple logistic regression analysis was used to estimate the effects of risk factors on obesity and being overweight. In addition, the least-squares (LS) means of both BMI and PBF were estimated by analysis of covariance (ANCOVA) in a generalized linear model.
Results: Increases in BMI and PBF were significantly related to an age ＞ 50 years and long working hours in women after compensating for confounding factors. Using the PBF criterion, the odds ratio (OR) of being overweight or obese in women ＞ 50 years of age who worked for ＞ 9 h a day was 3.9 (95% confidence interval [CI], 1.05–11.00). For BMI, women who were ＞ 50 years of age and worked for ＞ 9 h a day were 3.82 times (95% CI, 1.31–11.14) more likely to be overweight or obese than those who were ＜ 50 years of age and worked for ＜ 9 h a day.
Conclusion: Obesity in working adults was associated with ＞ 50 years of age and long working hours in women. Further studies are needed to investigate the underlying mechanisms of this relationship and its potential implications for the prevention and management of excess weight and obesity.
목차
Abstract
Background
Methods
Results
Discussion
Conclusions
References
참고문헌 (38)
참고문헌 신청
Keeffe EB / 1987 / Steatosis and cirrhosis in an obese diabetic / Dig Dis Sci 32(4):441~445
Ng M / 2014 / Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013 : a systematic analysis for the Global Burden of Disease Study 2013 / Lancet 384(9945):766~781
Wang Y / 2007 / The obesity epidemic in the United States–gender, age, socioeconomic, racial/ethnic, and geographic characteristics : a systematic review and meta-regression analysis / Epidemiol Rev 29:6~28
Stevens GA / 2012 / National, regional, and global trends in adult overweight and obesity prevalences / Popul Health Metr 10(1):22
Finucane MM / 2011 / National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants / Lancet 377(9765):557~567
Ng M / 2014 / Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013 : a systematic analysis for the Global Burden of Disease Study 2013 / Lancet 384(9945):766~781
Wang Y / 2007 / The obesity epidemic in the United States–gender, age, socioeconomic, racial/ethnic, and geographic characteristics : a systematic review and meta-regression analysis / Epidemiol Rev 29:6~28
Stevens GA / 2012 / National, regional, and global trends in adult overweight and obesity prevalences / Popul Health Metr 10(1):22
Finucane MM / 2011 / National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants / Lancet 377(9765):557~567
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UCI(KEPA) : I410-ECN-0101-2017-517-001156802