ArticlePerspectives in public health2014
Clustering of modifiable biobehavioral risk factors for chronic disease in US adults: a latent class analysis.
Article in Perspectives in public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 51 citations in OpenAlex.
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- College students' experiences, perceptions and management of health risks: a qualitative study in China.Frontiers in public health · 2026Article
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- Associations of animal source foods, cardiovascular disease history, and health behaviors from the national health and nutrition examination survey: 2013-2016.Global epidemiology · 2023Article
- Unhealthy lifestyles and clusters status among 3637 adolescents aged 11-23 years: a school-based cross-sectional study in China.BMC public health · 2023Article
- Changes in Social, Economic, and Health Risk Factors Across the Lifespan during the COVID-19 Pandemic: A Latent Transition Analysis.Journal of prevention and health promotion · 2022Article
- Clustering of Modifiable Behavioral Risk Factors and Their Association with All-Cause Mortality in Taiwan's Adult Population: a Latent Class Analysis.International journal of behavioral medicine · 2022Article
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- Combinations of modifiable lifestyle behaviours in relation to colorectal cancer risk in Alberta's Tomorrow Project.Scientific reports · 2020Article
- Health Behaviors and Health Status among Middle-Aged and Older Adults with Chronic Diseases in Taiwan.International journal of environmental research and public health · 2020Article
- Lifestyle and Psychosocial Patterns and Diabetes Incidence Among Women with and Without Obesity: a Prospective Latent Class Analysis.Prevention science : the official journal of the Society for Prevention Research · 2020Article
- Stability and Change in Health Behavior Profiles of U.S. Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020Article
- Metabolic Physiological Networks: The Impact of Age.Frontiers in physiology · 2020Article
- The Impact of Education and Age on Metabolic Disorders.Frontiers in public health · 2020Article
- Clustering of cardiovascular disease biological risk factors among older adults in Shenzhen City, China: a cross-sectional study.BMJ open · 2019Article
- Exploring the Ovarian Reserve Within Health Parameters: A Latent Class Analysis.Western journal of nursing research · 2018Article
- Early life adversity and health-risk behaviors: proposed psychological and neural mechanisms.Annals of the New York Academy of Sciences · 2018Review
- Behavioral and mental health risk factor profiles among diverse primary care patients.Preventive medicine · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
aimsExamining the co-occurrence patterns of modifiable biobehavioral risk factors for deadly chronic diseases (e.g. cancer, cardiovascular disease, diabetes) can elucidate the etiology of risk factors and guide disease-prevention programming. The aims of this study were to (1) identify latent classes based on the clustering of five key biobehavioral risk factors among US adults who reported at least one risk factor and (2) explore the demographic correlates of the identified latent classes.
methodsParticipants were respondents of the National Epidemiologic Survey of Alcohol and Related Conditions (2004-2005) with at least one of the following disease risk factors in the past year (N = 22,789), which were also the latent class indicators: (1) alcohol abuse/dependence, (2) drug abuse/dependence, (3) nicotine dependence, (4) obesity, and (5) physical inactivity. Housing sample units were selected to match the US National Census in location and demographic characteristics, with young adults oversampled. Participants were administered surveys by trained interviewers.
resultsFive latent classes were yielded: 'obese, active non-substance abusers' (23%); 'nicotine-dependent, active, and non-obese' (19%); 'active, non-obese alcohol abusers' (6%); 'inactive, non-substance abusers' (50%); and 'active, polysubstance abusers' (3.7%). Four classes were characterized by a 100% likelihood of having one risk factor coupled with a low or moderate likelihood of having the other four risk factors. The five classes exhibited unique demographic profiles.
conclusionsRisk factors may cluster together in a non-monotonic fashion, with the majority of the at-risk population of US adults expected to have a high likelihood of endorsing only one of these five risk factors.
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