Skip to main content

Advertisement

Log in

Latent Class Analysis of Lifestyle Characteristics and Health Risk Behaviors among College Youth

  • Published:
Prevention Science Aims and scope Submit manuscript

Abstract

Few studies have examined the context of a wide range of risk behaviors among emerging adults (ages 18–25 years), approximately half of whom in the USA enroll in post-secondary educational institutions. The objective of this research was to examine behavioral patterning in weight behaviors (diet and physical activity), substance use, sexual behavior, stress, and sleep among undergraduate students. Health survey data were collected among undergraduates attending a large, public US university (n = 2,026). Latent class analysis was used to identify homogeneous, mutually exclusive “classes” (patterns) of ten leading risk behaviors. Resulting classes differed for males and females. Female classes were defined as: (1) poor lifestyle (diet, physical activity, sleep), yet low-risk behaviors (e.g., smoking, binge drinking, sexual risk, drunk driving; 40.0% of females), (2) high risk (high substance use, intoxicated sex, drunk driving, poor diet, inadequate sleep) (24.3%), (3) moderate lifestyle, few risk behaviors (20.4%), (4) “health conscious” (favorable diet/physical activity with some unhealthy weight control; 15.4%). Male classes were: (1) poor lifestyle, low risk (with notably high stress, insufficient sleep, 9.2% of males), (2) high risk (33.6% of males, similar to class 2 in females), (3) moderate lifestyle, low risk (51.0%), and (4) “classic jocks” (high physical activity, binge drinking, 6.2%). To our knowledge, this is among the first research to examine complex lifestyle patterning among college youth, particularly with emphasis on the role of weight-related behaviors. These findings have important implications for targeting much needed health promotion strategies among emerging adults and college youth.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Adamson, G., Murphy, S., Shevlin, M., Buckle, P., & Stubbs, D. (2007). Profiling schoolchildren in pain and associated demographic and behavioural factors: A latent class approach. Pain, 129, 295–303. doi:10.1016/j.pain.2006.10.015.

    Article  PubMed  Google Scholar 

  • Agrawal, A., Lynskey, M.T., Madden, P.A., Bucholz, K.K., & Heath, A.C. (2007). A latent class analysis of illicit drug abuse/dependence: Results from the National Epidemiological Survey on Alcohol and Related Conditions. Addiction (Abingdon, England), 102, 94–104. doi:10.1111/j.1360-0443.2006.01630.x.

    Google Scholar 

  • American College Health Association (ACHA). (2007). National College Health Assessment Spring 2006 Reference Group data report (abridged). Journal of American College Health, 55, 195–206.

    Article  Google Scholar 

  • Arnett, J.J. (2000). Emerging adulthood. A theory of development from the late teens through the twenties. The American Psychologist, 55, 469–480. doi:10.1037/0003-066X.55.5.469.

    Article  CAS  PubMed  Google Scholar 

  • Boutelle, K., Fulkerson, J., Neumark-Sztainer, D., Story, M., & French, S. (2007). Fast food for family meals: Relationships with parent and adolescent food intake, home food environment and weight status. Public Health Nutrition, 10, 16–23. doi:10.1017/S136898000721794X.

    Article  PubMed  Google Scholar 

  • Butler, S.M., Black, D.R., Blue, C.L., & Gretebeck, R.J. (2004). Change in diet, physical activity, and body weight in female college freshman. American Journal of Health Behavior, 28, 24–32.

    PubMed  Google Scholar 

  • Chen, X., Beydoun, M.A., & Wang, Y. (2008). Is sleep duration associated with childhood obesity? A systematic review and meta-analysis. Obesity (Silver Spring, Md.), 16, 265–274. doi:10.1038/oby.2007.63.

    Article  Google Scholar 

  • Cizza, G., Skarulis, M., & Mignot, E. (2005). A link between short sleep and obesity: Building the evidence for causation. Sleep, 28, 1217–1220.

    PubMed  Google Scholar 

  • Dierker, L.C., Vesel, F., Sledjeski, E.M., Costello, D., & Perrine, N. (2007). Testing the dual pathway hypothesis to substance use in adolescence and young adulthood. Drug and Alcohol Dependence, 87, 83–93. doi:10.1016/j.drugalcdep.2006.08.001.

    Article  PubMed  Google Scholar 

  • Eisenberg, M.E., Neumark-Sztainer, D., & Lust, K. (2005). Weight-related issues and high risk sexual behavior among college students. Journal of the American College Health Association, 54, 95–101. doi:10.3200/JACH.54.2.95-101.

    Article  Google Scholar 

  • French, S., Harnack, L., & Jeffery, R.W. (2000). Fast food restaurant use among women in the Pound of Prevention study: Dietary, behavioral and demographic correlates. International Journal of Obesity, 24, 1353–1359. doi:10.1038/sj.ijo.0801429.

    Article  CAS  PubMed  Google Scholar 

  • French, S.A., Story, M., Neumark-Sztainer, D., Fulkerson, J.A., & Hannan, P. (2001). Fast food restaurant use among adolescents. International Journal of Obesity and Related Metabolic Disorders, 25, 1823–1833. doi:10.1038/sj.ijo.0801820.

    Article  CAS  PubMed  Google Scholar 

  • Galston, W. (2007). Being 20-something in the 21st century. Retrieved February 1, 2008, from http://www.brookings.edu/speeches/2007/1004useconomics_galston.aspx.

  • Gangwisch, J.E., Malaspina, D., Boden-Albala, B., & Heymsfield, S.B. (2005). Inadequate sleep as a risk factor for obesity: Analyses of the NHANES I. Sleep, 28, 1289–1296.

    PubMed  Google Scholar 

  • Harris, K.M., Gordon-Larsen, P., Chantala, K., & Udry, J.R. (2006). Longitudinal trends in race/ethnic disparities in leading health indicators from adolescence to young adulthood. Archives of Pediatrics & Adolescent Medicine, 160, 74–81. doi:10.1001/archpedi.160.1.74.

    Article  Google Scholar 

  • Haskell, W.L., Lee, I.M., Pate, R.R., Powell, K.E., Blair, S.N., Franklin, B.A., et al. (2007). Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation, 116, 1081–1093. doi:10.1161/CIRCULATIONAHA.107.185649.

    Article  PubMed  Google Scholar 

  • Hovell, M.F., Mewborn, C.R., Randle, Y., & Fowler-Johnson, S. (1985). Risk of excess weight gain in university women: A three-year community controlled analysis. Addictive Behaviors, 10, 15–28. doi:10.1016/0306-4603(85)90049-8.

    Article  CAS  PubMed  Google Scholar 

  • Knapp, L., Kelly-Reid, J., & Whitmore, R. (2006). Enrollment in postsecondary institutions, Fall 2004; graduation rates, 1998 & 2001 cohorts; and financial statistics, fiscal year 2004 (NCES 2006-155). Washington, DC: U.S. Department of Education, National Center for Education Statistics.

    Google Scholar 

  • Lanza, S.T., Flaherty, B., & Collins, L.M. (2003). Latent class and latent transition analysis, volume 2. In J. Schinka, & W. Velicer (Eds.), Research methods in psychology (pp. 663–685). Hoboken, NJ: Wiley.

    Google Scholar 

  • Lanza, S.T., Collins, L.M., Lemmon, D., & Schafer, J.L. (2007). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling, 14, 671–694.

    PubMed  Google Scholar 

  • Larson, N.I., Neumark-Sztainer, D., Hannan, P.J., & Story, M. (2007). Trends in adolescent fruit and vegetable consumption, 1999–2004: Project EAT. American Journal of Preventive Medicine, 32, 147–150. doi:10.1016/j.amepre.2006.10.011.

    Article  PubMed  Google Scholar 

  • Levitsky, D.A., Halbmaier, C.A., & Mrdjenovic, G. (2004). The freshman weight gain: A model for the study of the epidemic of obesity. International Journal of Obesity and Related Metabolic Disorders, 28, 1435–1442. doi:10.1038/sj.ijo.0802776.

    Article  CAS  PubMed  Google Scholar 

  • Matvienko, O., Lewis, D.S., & Schafer, E. (2001). A college nutrition science course as an intervention to prevent weight gain in female college freshmen. Journal of Nutrition Education, 33, 95–101. doi:10.1016/S1499-4046(06)60172-3.

    Article  CAS  PubMed  Google Scholar 

  • McLachlan, G., & Peel, D. (2000). Finite mixture models. New York: Wiley.

    Book  Google Scholar 

  • Megel, M., Wade, F., Hawkins, P., Norton, J., Sandstrom, S., Zajic, K., et al. (1994). Health promotion, self-esteem, and weight among female college freshmen. Health Values, 18, 10–19.

    Google Scholar 

  • Morrow, M.L., Heesch, K.C., Dinger, M.K., Hull, H.R., Kneehans, A.W., & Fields, D.A. (2006). Freshman 15: Fact or fiction? Obesity (Silver Spring, Md.), 14, 1438–1443. doi:10.1038/oby.2006.163.

    Article  Google Scholar 

  • National Center for Education Statistics (NCES). Digest education statistics, Retrieved March 21, 2006, from http://nces.ed.gov/programs/digest.

  • National Survey of Student Engagement. 2007 Annual report, experiences that matter: Enhancing student learning and success. Retrieved February 1, 2008, from http://nsse.iub.edu/NSSE%5F2007%5FAnnual%5FReport.

  • Nelson, M.C., Neumark-Sztainer, D., Hannan, P., Sirard, J., & Story, M. (2006). Longitudinal and secular trends in physical activity and sedentary behavior during adolescence. Pediatrics, 118, 1627–1634. doi:10.1542/peds.2006-0926.

    Article  Google Scholar 

  • Nelson, M.C., Lust, K., Story, M., & Ehlinger, E. (2008a). Associations between credit card debt, stress, and leading health risk behaviors among college students. American Journal of Health Promotion, 22, 400–407.

    Article  PubMed  Google Scholar 

  • Nelson, M.C., Story, M., Larson, N.I., Neumark-Sztainer, D., & Lytle, L.A. (2008b). Emerging adulthood and college-aged youth: An overlooked age for weight-related behavior change. Obesity (Silver Spring, Md.), 16, 2205–2211.

    Article  Google Scholar 

  • Nelson, M.C., Lust, K., Story, M., & Ehlinger, E. (2009). Alcohol use, eating patterns & weight behaviors in a university population. American Journal of Health Behavior, 33, 227–237.

    PubMed  Google Scholar 

  • Neumark-Sztainer, D., Sherwood, N.E., French, S.A., & Jeffery, R.W. (1999). Weight control behaviors among adult men and women: Cause for concern? Obesity Research, 7, 179–188.

    CAS  PubMed  Google Scholar 

  • Neumark-Sztainer, D.R., Wall, M.M., Haines, J.I., Story, M.T., Sherwood, N.E., & van den Berg, P.A. (2007). Shared risk and protective factors for overweight and disordered eating in adolescents. American Journal of Preventive Medicine, 33, 359–369. doi:10.1016/j.amepre.2007.07.031.

    Article  PubMed  Google Scholar 

  • Ogden, C.L., Carroll, M.D., Curtin, L.R., McDowell, M.A., Tabak, C.J., & Flegal, K.M. (2006). Prevalence of overweight and obesity in the United States, 1999–2004. Journal of the American Medical Association, 295, 1549–1555. doi:10.1001/jama.295.13.1549.

    Article  CAS  PubMed  Google Scholar 

  • Padmadas, S.S., Dias, J.G., & Willekens, F.J. (2006). Disentangling women’s responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis. Public Health Nutrition, 9, 204–211. doi:10.1079/PHN2005842.

    Article  PubMed  Google Scholar 

  • Pasch, K.E., Nelson, M.C., Lytle, L.A., Moe, S.G., & Perry, C.L. The adoption of risk-related factors through early adolescence: Associations with weight status and implications for causal mechanisms. The Journal of Adolescent Health, 43, 387–393.

  • Pereira, M.A., Kartashov, A.I., Ebbeling, C.B., Van Horn, L., Slattery, M.L., Jacobs, D.R., Jr., et al. (2005). Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet, 365, 36–42. doi:10.1016/S0140-6736(04)17663-0.

    Article  PubMed  Google Scholar 

  • Racette, S.B., Deusinger, S.S., Strube, M.J., Highstein, G.R., & Deusinger, R.H. (2008). Changes in weight and health behaviors from freshman through senior year of college. Journal of Nutrition Education Journal of Nutrition Education and Behavior, 40, 39–42. doi:10.1016/j.jneb.2007.01.001.

    Article  Google Scholar 

  • Reboussin, B.A., Song, E.Y., Shrestha, A., Lohman, K.K., & Wolfson, M. (2006). A latent class analysis of underage problem drinking: Evidence from a community sample of 16-20 year olds. Drug and Alcohol Dependence, 83, 199–209. doi:10.1016/j.drugalcdep.2005.11.013.

    Article  PubMed  Google Scholar 

  • Tsai, L.L., & Li, S.P. (2004). Sleep patterns in college students: Gender and grade differences. Journal of Psychosomatic Research, 56, 231–237. doi:10.1016/S0022-3999(03)00507-5.

    Article  PubMed  Google Scholar 

  • US Census Bureau (2006). Financing the future: Postsecondary students, costs, and financial aid: 2001–2002. Retrieved January 23, 2008, from http://www.census.gov/population/www/socdemo/FTF-tabs.html.

  • US Department of Health and Human Services, & U.S. Department of Agriculture. (2005). Dietary guidelines for Americans. Washington, DC: US Government Printing Office.

    Google Scholar 

  • US Surgeon General’s Office. (2004). The Surgeon general’s workshop on drunk driving. Retreived on July 16, 2008 from: http://profiles.nlm.nih.gov/NN/B/C/X/T/.

  • US Surgeon General’s Report. (2004). The health consequences of smoking. Retrieved July 16, 2008 from http://www.cdc.gov/tobacco/data_statistics/sgr1/sgr_2004/index.html.

  • Voelker, R. (2004). Stress, sleep loss, and substance abuse create potent recipe for college depression. Journal of the American Medical Association, 291, 2177–2179. doi:10.1001/jama.291.18.2177.

    Article  CAS  PubMed  Google Scholar 

  • Yang, C.C. (2006). Evaluating latent class analysis models in qualitative phenotype identification. Computational Statistics & Data Analysis, 50, 1090–1104. doi:10.1016/j.csda.2004.11.004.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Dr. Bethany Bray of the Pennsylvania State University for her consultation on this project, as well as Ms. Kian Farbakhsh for her assistance with statistical programming. Funding for data collection was provided by Boynton Health Service at the University of Minnesota (www.bhs.umn.edu). Additional salary support for the analysis of these data was provided by the University of Minnesota Obesity Prevention Center (www.obesityprevention.umn.edu) and the National Cancer Institute (Award # K07CA126837). The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Melissa Nelson Laska.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Laska, M.N., Pasch, K.E., Lust, K. et al. Latent Class Analysis of Lifestyle Characteristics and Health Risk Behaviors among College Youth. Prev Sci 10, 376–386 (2009). https://doi.org/10.1007/s11121-009-0140-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11121-009-0140-2

Keywords

Navigation