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Cited by 537Health and Lifestyle StudiesCardiovascular Health and Risk FactorsHealth Promotion and Cardiovascular Prevention

Clustering of Lifestyle Risk Factors in a General Adult Population

Schuit, A.Jantine, van Loon, A.Jeanne M., Tijhuis, Marja, Ocké, Marga C.·2002·Preventive Medicine
DOI 10.1006/pmed.2002.1064
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Abstract

Background The objective of the study was to evaluate the degree of clustering of common lifestyle risk factors in a general adult population and to define subgroups with elevated clustering.Methods Data on lifestyle risk factors (smoking, low vegetable and fruit consumption, excessive alcohol intake, and low physical activity), sociodemographics, and health perception were collected by questionnaire from 16,789 men and women aged 20 to 59.Results About 20% of the subjects had at least three lifestyle risk factors. Prevalence of risk factors was higher among unemployed, low-educated subjects and those who had experienced health deterioration. All lifestyle risk factors showed significant clustering, except for low physical activity and excessive alcohol consumption. The strongest association was observed for alcohol and smoking (prevalence odds ratio (POR): 2.38; 95% confidence interval: 2.18-2.61). Clustering of smoking and alcohol consumption was strongest among the young subjects (POR: 3.78) and, although moderately, clustering of lifestyle risk factors was elevated in subjects who had experienced a deterioration in health.Conclusions These findings suggest that common lifestyle risk factors cluster among adult subjects. The tendency for risk factors to aggregate has important implications for health promotion. Information on high-risk groups will help in planning future preventive strategies.

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  • These behaviors have been independently shown to alter the relationship between stress and biological outcomes, including neural functioning and hypothalamic-pituitary-adrenal axis activation.

    “Importantly, these behaviors have been independently shown to alter the relationship between stress and biological outcomes, including neural functioning and hypothalamic-pituitary-adrenal axis activation (41–44).”

    From Determinants of telomere attrition over 1 year in healthy older women: stress and health behaviors matter (2015) · cites this paper as [44]

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Authors
Schuit, A. J., van Loon, A. J. M., Tijhuis, M., & Ocké, M. C.
Affiliations
National Institute for Public Health and the Environment (NL)
ORCID
Venue
Preventive Medicine
Publisher
Elsevier BV
Published
2002-09
Volume
35
Issue
3
Pages
219-224
ISSN
0091-7435 (ISSN-L)
DOI
10.1006/pmed.2002.1064
OpenAlex
W2077162036
Cited by
537
References
26
Citations by year
2026: 11 · 2025: 15 · 2024: 22 · 2023: 14 · 2022: 26 · 2021: 41 · 2020: 29 · 2019: 39 · 2018: 31 · 2017: 23 · 2016: 24 · 2015: 33 · 2014: 40 · 2013: 37 · 2012: 26
FWCI
18.61
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Preventive Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Health and Lifestyle Studies
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Keywords
lifestyle risk factors, risk factor clustering, smoking, alcohol consumption, physical inactivity, sociodemographic risk factors, unemployment, educational attainment, health deterioration, young adults, high-risk groups, health promotion, preventive strategies
MeSH terms
Adult, Alcohol Drinking, Cross-Sectional Studies, Diet, Educational Status, Female, Health Status, Humans, Income, Life Style, Male, Middle Aged, Netherlands, Surveys and Questionnaires, Risk Factors, Smoking, Prevalence, Cluster Analysis, Age Distribution

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