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Cited by 446Body Composition Measurement TechniquesDiabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, Diet

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

A comparison of body mass index, waist–hip ratio and waist circumference as predictors of all-cause mortality among the elderly: the Rotterdam study

Visscher, TLS, Seidell, JC, Molarius, A, van der Kuip, D, Hofman, A, Witteman, JCM·2001·International Journal of Obesity
DOI 10.1038/sj.ijo.0801787
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Abstract

Objective To compare body mass index (BMI), waist-hip ratio (WHR) and waist circumference as predictors of all-cause mortality among the elderly.Design Population-based cohort study; mean follow-up was 5.4 y.Setting The Rotterdam Study.Participants A total of 6296 men and women; baseline age 55-102 y.Measurements Sex-specific all-cause mortality was compared between quintiles of BMI, WHR and waist circumference and between predefined categories of BMI and waist circumference, stratified for smoking category.Results High quintiles of waist circumference, but not high quintiles of BMI and WHR were related to increased mortality among never smoking men, without reaching statistical significance. Only the highest category of BMI (BMI>30 kg/m2) among never smoking men was related to increased mortality, compared to normal BMI (hazard ratio 2.6 (95% confidence interval: 1.3-5.3)). Waist circumference between 94 and 102 cm and waist circumference 102 cm and larger were related to increased mortality, compared to normal waist circumference (hazard ratios 1.7 (95% confidence interval 1.1-2.8) and 1.6 (95% confidence interval 1.0-2.8), respectively). The proportion of mortality attributable to large waist circumference among never smoking men was three-fold the proportion attributable to high BMI. Among never smoking women and ex- and current smokers, categories of large body fatness did not predict increased mortality.Conclusion Among never smoking elderly men waist circumference may have more potential for detecting overweight than the BMI.

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  1. Rissanen A, Knekt P, Heliövaara M, Aromaa A, Reunanen A, Maatela J . Weight and mortality in Finnish women Int J Obes Relat Metab Disord 1995 19: (Suppl 6): S1–S5.

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Metadata

Authors
Visscher, T., Seidell, J., Molarius, A., van der Kuip, D., Hofman, A., & Witteman, J.
Affiliations
Erasmus MC (NL)
Corresponding author
Visscher, TLS
ORCID
Venue
International Journal of Obesity
Publisher
Springer Science and Business Media LLC
Published
2001-11
Volume
25
Issue
11
Pages
1730-1735
ISSN
  • 0307-0565 (ISSN-L)
  • 1476-5497
DOI
10.1038/sj.ijo.0801787
OpenAlex
W2044104326
Cited by
434
References
35
Citations by year
2026: 1 · 2025: 2 · 2024: 8 · 2023: 4 · 2022: 10 · 2021: 15 · 2020: 16 · 2019: 16 · 2018: 9 · 2017: 14 · 2016: 19 · 2015: 15 · 2014: 20 · 2013: 39 · 2012: 40
FWCI
6.26
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • International Journal of Obesity (publishedVersion)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • VU Research Portal (submittedVersion)
  • Rivm (National Institute for Public Health and the Environment) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
body mass index, waist-to-hip ratio, waist circumference, all-cause mortality, older adults, overweight, abdominal obesity, smoking, sex differences, attributable mortality, Rotterdam Study
MeSH terms
Abdomen, Aged, Aged, 80 and over, Anthropometry, Body Constitution, Female, Humans, Male, Middle Aged, Netherlands, Obesity, Predictive Value of Tests, Cohort Studies, Body Mass Index

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