Health lifestyle patterns of U.S. adults
- PMID: 7971872
- DOI: 10.1006/pmed.1994.1062
Health lifestyle patterns of U.S. adults
Abstract
Background: Reaching national health objectives depends upon our ability to encourage the performance of multiple good health behaviors. There are cognitive, social, and biological reasons for expecting health behaviors to cluster. However, few studies have found significant associations among health behaviors, with the exception of the documented link between smoking and alcohol consumption.
Methods: We used cluster analysis to identify population subgroups with similar patterns of diet quality, physical activity, alcohol consumption, and cigarette smoking. This is the first study of health behavior interrelationships to include a measure of overall diet quality and a large sample from a nationally representative survey of U.S. adults.
Results: We identified seven health behavior typologies: 10% of the sample (health promoting lifestyle) had an overall healthy lifestyle, 25% had a good diet but sedentary activity level, 18% had fair diet but high activity level (fitness lifestyle). Individuals in the passive lifestyle cluster (25%) had no active health promoting activities but did avoid risk taking health behaviors. Six percent of the sample were in a drinking cluster, 15% in a smoking cluster, and 2% had a hedonic lifestyle characterized by heavy drinking and smoking. These lifestyle clusters could be characterized by demographic and socioeconomic factors.
Conclusions: This research indicates that it is possible to identify a discrete number of health lifestyles in a population sample of U.S. adults. Understanding past, present, and changing health lifestyles may provide insights for health behavior research and information for the development and targeting of public health programs that can impact on multifactorial chronic diseases.
Similar articles
-
Meeting recommendations for multiple healthy lifestyle factors. Prevalence, clustering, and predictors among adolescent, adult, and senior health plan members.Am J Prev Med. 2004 Aug;27(2 Suppl):25-33. doi: 10.1016/j.amepre.2004.04.022. Am J Prev Med. 2004. PMID: 15275671
-
[High risk groups in health behavior defined by clustering of smoking, alcohol, and exercise habits: National Heath and Nutrition Examination Survey].J Prev Med Public Health. 2010 Jan;43(1):73-83. doi: 10.3961/jpmph.2010.43.1.73. J Prev Med Public Health. 2010. PMID: 20185985 Korean.
-
Cognitive-behavioral mediators of changing multiple behaviors: smoking and a sedentary lifestyle.Prev Med. 1996 Nov-Dec;25(6):684-91. doi: 10.1006/pmed.1996.0107. Prev Med. 1996. PMID: 8936570
-
Lifestyle predictors of healthy ageing in men.Maturitas. 2013 Jun;75(2):113-7. doi: 10.1016/j.maturitas.2013.02.011. Epub 2013 Mar 21. Maturitas. 2013. PMID: 23522750 Review.
-
Lifestyle factors in cancer survivorship.J Clin Oncol. 2012 Oct 20;30(30):3697-704. doi: 10.1200/JCO.2012.42.0638. Epub 2012 Sep 24. J Clin Oncol. 2012. PMID: 23008316 Review.
Cited by
-
Executive functioning as a mediator of the relationship between premorbid verbal intelligence and health risk behaviors in a rural-dwelling cohort: a Project FRONTIER study.Arch Clin Neuropsychol. 2013 Mar;28(2):169-79. doi: 10.1093/arclin/acs102. Epub 2012 Nov 28. Arch Clin Neuropsychol. 2013. PMID: 23192834 Free PMC article.
-
Sexual behavior and drug use among Asian and Latino adolescents: association with immigrant status.J Immigr Minor Health. 2007 Apr;9(2):85-94. doi: 10.1007/s10903-006-9020-z. J Immigr Minor Health. 2007. PMID: 17111214
-
Multivitamin-mineral use is associated with reduced risk of cardiovascular disease mortality among women in the United States.J Nutr. 2015 Mar;145(3):572-8. doi: 10.3945/jn.114.204743. Epub 2015 Jan 7. J Nutr. 2015. PMID: 25733474 Free PMC article.
-
Drinking Patterns, Gender and Health II: Predictors of Preventive Service Use.Addict Res Theory. 2010 Jul;18(2):143-159. doi: 10.3109/16066350903398494. Addict Res Theory. 2010. PMID: 23814545 Free PMC article.
-
Five meal patterns are differently associated with nutrient intakes, lifestyle factors and energy misreporting in a sub-sample of the Malmö Diet and Cancer cohort.Food Nutr Res. 2009 Sep 9;53. doi: 10.3402/fnr.v53i0.1970. Food Nutr Res. 2009. PMID: 19798420 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous