Literature DB >> 9698130

Separate associations of waist and hip circumference with lifestyle factors.

T S Han1, F C Bijnen, M E Lean, J C Seidell.   

Abstract

OBJECTIVE: To study the associations of lifestyle factors with waist circumference 'Action Levels', hip circumference and body mass index.
DESIGN: Cross-sectional study in a random sample of 5887 men and 7018 women aged 20-59 years, selected from the civil registries of Amsterdam, Maastricht and Doetinchem, The Netherlands.
RESULTS: Results were compared to those in low health risk reference groups: non-smokers, occasional drinkers, highest educated, physically active, employed subjects, women who had no live births, or 20-29-year-olds. In multivariate logistic regression analysis, odds ratios (95% confidence interval) for having a waist above 'Action Level 2' (> or =102 cm in men, > or =88 cm in women) were significantly lower in smokers, and higher in heavy drinkers, inactive subjects, unemployed people, those educated below secondary level, women who had > or =3 live births, and older age. Mean waist-to-hip ratio adjusted for body mass index and age were higher in these groups. Residual analysis showed that the likelihood of having larger waist than expected from their body mass index was 1.2 times (1.1-1.4) in male smokers, 1.4 times (1.2-1.7) in male and 1.7 times (1.3-2.2) in female heavy drinkers, 1.6 times (1.5-1.8) in inactive men, and 1.3 times (1.1-1.5) in unemployed women. The risk of having smaller hips than expected from body mass index was 1.2 times (1.1-1.4) in male and 1.2 times (1.0-1.3) in female smokers, 1.2 times (1.1-1.3) in men and 1.1 times (1.0-1.2) in women who were inactive.
CONCLUSIONS: Each lifestyle factor influences the size of waist and the hips differently, and understanding these influences is important for health promotion directed at the general public. Lifestyle modifications such as smoking cessation, reduced drinking, and a more physically active lifestyle should all be encouraged, leading to an overall healthier body shape.

Entities:  

Mesh:

Year:  1998        PMID: 9698130     DOI: 10.1093/ije/27.3.422

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  23 in total

1.  Prevalence of overweight, obesity, and associated risk factors among school children and adolescents in Tianjin, China.

Authors:  Amanuel Kidane Andegiorgish; Jianhua Wang; Xin Zhang; Xinmin Liu; Hong Zhu
Journal:  Eur J Pediatr       Date:  2011-12-09       Impact factor: 3.183

2.  Association of calcium intake, dairy product consumption with overweight status in young adults (1995-1996): the Bogalusa Heart Study.

Authors:  B M Brooks; R Rajeshwari; Theresa A Nicklas; Su-Jau Yang; Gerald S Berenson
Journal:  J Am Coll Nutr       Date:  2006-12       Impact factor: 3.169

3.  Genetically driven adiposity traits increase the risk of coronary artery disease independent of blood pressure, dyslipidaemia, glycaemic traits.

Authors:  Wan-Qiang Lv; Xue Zhang; Kun Fan; Xin Xia; Qiang Zhang; Hui-Min Liu; Bu-Ying Jiang; Wei-Dong Zhang; Hong-Wen Deng
Journal:  Eur J Hum Genet       Date:  2018-06-11       Impact factor: 4.246

4.  Socioeconomic deprivation and waist circumference in men and women: The Scottish MONICA surveys 1989--1995.

Authors:  Ruoling Chen; Hugh Tunstall-Pedoe
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

Review 5.  Prevention of overweight and obesity: how effective is the current public health approach.

Authors:  Ruth S M Chan; Jean Woo
Journal:  Int J Environ Res Public Health       Date:  2010-02-26       Impact factor: 3.390

6.  Association between Alcohol Intake and Abdominal Obesity among the Korean Population.

Authors:  Mikyung Ryu; Heejin Kimm; Jaeseong Jo; Sun Ju Lee; Sun Ha Jee
Journal:  Epidemiol Health       Date:  2010-05-19

7.  Prevalence of obesity and correlations with lifestyle and dietary factors in Chinese men.

Authors:  Sang-Ah Lee; Wanqing Wen; Wang Hong Xu; Wei Zheng; Honglan Li; Gong Yang; Yong-Bing Xiang; Xiao-Ou Shu
Journal:  Obesity (Silver Spring)       Date:  2008-03-20       Impact factor: 5.002

8.  Obesity and migraine: the effect of age, gender and adipose tissue distribution.

Authors:  B Lee Peterlin; Andrea L Rosso; Alan M Rapoport; Ann I Scher
Journal:  Headache       Date:  2009-06-02       Impact factor: 5.887

9.  Associations of body fat and skeletal muscle with hypertension.

Authors:  Thang S Han; Yasmin Y Al-Gindan; Lindsay Govan; Catherine R Hankey; Michael E J Lean
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-07       Impact factor: 3.738

10.  Fat free mass and obesity in relation to educational level.

Authors:  Elina Seppänen-Nuijten; Marjaana Lahti-Koski; Satu Männistö; Paul Knekt; Harri Rissanen; Arpo Aromaa; Markku Heliövaara
Journal:  BMC Public Health       Date:  2009-12-04       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.