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© 1998 Oxford University Press

research-article

Separate associations of waist and hip circumference with lifestyle factors

TS Hana,b, FCH Bijnenc,d, MEJ Leana, and JC Seidelld

aDepartment of Human Nutrition, University of Glasgow Glasgow Royal Infirmary, Glasgow G31 2ER
bCurrent address: Wolfson College Cambridge CB3 9BB
cDepartment of Medical Physiology and Sports Medicine, Utrecht University Utrecht, Po Box 80043 Bilthoven, The Netherlands
dDepartment of Chronic Diseases and Environmental Epidemiology, National Insutute of Public Health and the Environment Po Box 1 3720 BA Bilthoven, The Netherlands

Reprint requests: Professor MEJ Lean

BACKGROUND: 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’ (≥ 102 cm in men,≥ 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 ≥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.

Keywords Body fat distribution, alcohol consumption, physical activity, smoking, social class, health risk

Accepted 17 October 1997


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