Literature DB >> 24990599

A latent class analysis of weight-related health behaviors among 2- and 4-year college students and associated risk of obesity.

Charu Mathur1, Melissa Stigler2, Katherine Lust3, Melissa Laska3.   

Abstract

Little is known about the complex patterning of weight-related health behaviors in 2- and 4-year college students. The objective of this study was to identify and describe unique classes of weight-related health behaviors among college students. Latent class analysis was used to identify homogenous, mutually exclusive classes of nine health behaviors that represent multiple theoretically/clinically relevant dimensions of obesity risk among 2- versus 4-year college students using cross-sectional statewide surveillance data (N = 17,584). Additionally, differences in class membership on selected sociodemographic characteristics were examined using a model-based approach. Analysis was conducted separately for both college groups, and five and four classes were identified for 2- and 4-year college students, respectively. Four classes were similar across 2- and 4-year college groups and were characterized as "mostly healthy dietary habits, active"; "moderately high screen time, active"; "moderately healthy dietary habits, inactive"; and "moderately high screen time, inactive." "Moderately healthy dietary habits, high screen time" was the additional class unique to 2-year college students. These classes differed on a number of sociodemographic characteristics, including the proportion in each class who were classified as obese. Implications for prevention scientists and future intervention programs are considered.
© 2014 Society for Public Health Education.

Entities:  

Keywords:  2-and 4-year college students; audience segmentation; co-occurrence of health behaviors; latent class analysis with a distal outcome; obesity; young adults

Mesh:

Year:  2014        PMID: 24990599      PMCID: PMC5051694          DOI: 10.1177/1090198114537062

Source DB:  PubMed          Journal:  Health Educ Behav        ISSN: 1090-1981


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