Stability and Change in Health Behavior Profiles of U.S. Adults

Overview

Journal J Gerontol B Psychol Sci Soc Sci

Specialties Geriatrics
Psychology
Social Sciences

Date 2020 Feb 15

PMID 32059056

Citations 7

Authors

Sarah A Burgard

Katherine Y P Lin

Brian D Segal

Michael R Elliott

Sarah Seelye

Affiliations

Soon will be listed here.

Abstract

Objectives: While understanding of complex within-person clustering of health behaviors into meaningful profiles of risk is growing, we still know little about whether and how U.S. adults transition from one profile to another as they age. This study assesses patterns of stability and change in profiles of tobacco and alcohol use and body mass index (BMI).

Method: A nationally representative cohort of U.S. adults 25 years and older was interviewed up to 5 times between 1986 and 2011. Latent transition analysis (LTA) models characterized the most common profiles, patterning of transitions across profiles over follow-up, and assessed whether some were associated with higher mortality risk.

Results: We identified 5 profiles: "health promoting" with normal BMI and moderate alcohol consumption; "overweight"; "current smokers"; "obese"; and "nondrinkers". Profile membership was largely stable, with the most common transitions to death or weight gain. "Obese" was the most stable profile, while "smokers" were most likely to transition to another profile. Mortality was most frequent in the "obese" and "nondrinker" profiles.

Discussion: Stability was more common than transition, suggesting that adults sort into health behavior profiles relatively early. Women and men were differently distributed across profiles at baseline, but showed broad similarity in transitions.

Citing Articles

Longitudinal Patterns of Systolic Blood Pressure, Diastolic Blood Pressure, Cardiorespiratory Fitness, and Their Association With Dementia Risk: The HUNT Study.

Lerfald M, Allore H, Nilsen T, Eldholm R, Martinez-Velilla N, Selbaek G J Gerontol A Biol Sci Med Sci. 2024; 79(8).

PMID: 38894618 PMC: 11266981. DOI: 10.1093/gerona/glae161.

The development and validation of scales to measure the presence of a teachable moment following a cardiovascular disease event.

Brust M, Gebhardt W, van der Voorde N, Numans M, Kiefte-de Jong J Prev Med Rep. 2022; 28:101876.

PMID: 35801000 PMC: 9254119. DOI: 10.1016/j.pmedr.2022.101876.

Health behaviour and its determinants in elderly patients with chronic diseases: evidence from Jiangsu Province, China.

Chen L, Gong Y, Yuan L BMC Geriatr. 2022; 22(1):297.

PMID: 35392819 PMC: 8988547. DOI: 10.1186/s12877-022-03010-w.

Contributions and Challenges in Health Lifestyles Research.

Mollborn S, Lawrence E, Saint Onge J J Health Soc Behav. 2021; 62(3):388-403.

PMID: 34528487 PMC: 8792463. DOI: 10.1177/0022146521997813.

Early-Life Circumstances, Health Behavior Profiles, and Later-Life Health in Great Britain.

van den Broek T J Aging Health. 2020; 33(5-6):317-330.

PMID: 33345690 PMC: 8120632. DOI: 10.1177/0898264320981233.

References

Prochaska J, Evers K, Castle P, Johnson J, Prochaska J, Rula E . Enhancing multiple domains of well-being by decreasing multiple health risk behaviors: a randomized clinical trial. Popul Health Manag. 2012; 15(5):276-86. DOI: 10.1089/pop.2011.0060. View

House J, Lepkowski J, Kinney A, Mero R, Kessler R, Herzog A . The social stratification of aging and health. J Health Soc Behav. 1994; 35(3):213-34. View

Kvaavik E, Batty G, Ursin G, Huxley R, Gale C . Influence of individual and combined health behaviors on total and cause-specific mortality in men and women: the United Kingdom health and lifestyle survey. Arch Intern Med. 2010; 170(8):711-8. DOI: 10.1001/archinternmed.2010.76. View

Fine L, Philogene G, Gramling R, Coups E, Sinha S . Prevalence of multiple chronic disease risk factors. 2001 National Health Interview Survey. Am J Prev Med. 2004; 27(2 Suppl):18-24. DOI: 10.1016/j.amepre.2004.04.017. View

Skalamera J, Hummer R . Educational attainment and the clustering of health-related behavior among U.S. young adults. Prev Med. 2016; 84:83-9. PMC: 4758886. DOI: 10.1016/j.ypmed.2015.12.011. View

Schnuerer I, Baumann S, Haberecht K, Gaertner B, John U, Freyer-Adam J . Patterns of health risk behaviors among job-seekers: a latent class analysis. Int J Public Health. 2014; 60(1):111-9. DOI: 10.1007/s00038-014-0623-1. View

Shaw B, Agahi N . A prospective cohort study of health behavior profiles after age 50 and mortality risk. BMC Public Health. 2012; 12:803. PMC: 3503621. DOI: 10.1186/1471-2458-12-803. View

Lanza S, Collins L . A new SAS procedure for latent transition analysis: transitions in dating and sexual risk behavior. Dev Psychol. 2008; 44(2):446-56. PMC: 2846549. DOI: 10.1037/0012-1649.44.2.446. View

Schneider S, Huy C, Schuessler M, Diehl K, Schwarz S . Optimising lifestyle interventions: identification of health behaviour patterns by cluster analysis in a German 50+ survey. Eur J Public Health. 2009; 19(3):271-7. DOI: 10.1093/eurpub/ckn144. View

10.

Hsu H, Luh D, Chang W, Pan L . Joint trajectories of multiple health-related behaviors among the elderly. Int J Public Health. 2012; 58(1):109-20. DOI: 10.1007/s00038-012-0358-9. View

11.

Lawrence E, Mollborn S, Hummer R . Health lifestyles across the transition to adulthood: Implications for health. Soc Sci Med. 2017; 193:23-32. PMC: 5659920. DOI: 10.1016/j.socscimed.2017.09.041. View

12.

Saint Onge J, Krueger P . Health Lifestyle Behaviors among U.S. Adults. SSM Popul Health. 2017; 3:89-98. PMC: 5544030. DOI: 10.1016/j.ssmph.2016.12.009. View

13.

Walsemann K, Ailshire J . BMI Trajectories During the Transition to Older Adulthood: Persistent, Widening, or Diminishing Disparities by Ethnicity and Education?. Res Aging. 2018; 33(3):286-311. PMC: 6078199. DOI: 10.1177/0164027511399104. View

14.

Cockerham W . Health lifestyle theory and the convergence of agency and structure. J Health Soc Behav. 2005; 46(1):51-67. DOI: 10.1177/002214650504600105. View

15.

Kerr W, Greenfield T, Bond J, Ye Y, Rehm J . Age-period-cohort modelling of alcohol volume and heavy drinking days in the US National Alcohol Surveys: divergence in younger and older adult trends. Addiction. 2009; 104(1):27-37. PMC: 2728753. DOI: 10.1111/j.1360-0443.2008.02391.x. View

16.

Leventhal A, Huh J, Dunton G . Clustering of modifiable biobehavioral risk factors for chronic disease in US adults: a latent class analysis. Perspect Public Health. 2013; 134(6):331-8. PMC: 4167970. DOI: 10.1177/1757913913495780. View

17.

Mollborn S, James-Hawkins L, Lawrence E, Fomby P . Health lifestyles in early childhood. J Health Soc Behav. 2014; 55(4):386-402. PMC: 6662652. DOI: 10.1177/0022146514555981. View

18.

Berrigan D, Dodd K, Troiano R, Krebs-Smith S, Barbash R . Patterns of health behavior in U.S. adults. Prev Med. 2003; 36(5):615-23. DOI: 10.1016/s0091-7435(02)00067-1. View

19.

Spring B, Moller A, Coons M . Multiple health behaviours: overview and implications. J Public Health (Oxf). 2012; 34 Suppl 1:i3-10. PMC: 3284863. DOI: 10.1093/pubmed/fdr111. View

20.

Moore A, Gould R, Reuben D, Greendale G, Carter M, Zhou K . Longitudinal patterns and predictors of alcohol consumption in the United States. Am J Public Health. 2005; 95(3):458-65. PMC: 1449202. DOI: 10.2105/AJPH.2003.019471. View