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Latent Class Analysis of Cancer Risk Behaviors Among College Students on Guam: A Pacific Islands Cohort of College Students Study (PICCS)

Author

Listed:
  • Aurienne Cruz

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Cabrini Aguon

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Michael Cajigal

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Elaine C. de Leon

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Reina Faye P. Evangelista

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Su Bin Jin

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Ella Macatugal

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Gian M. Paras

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Lauren Nicole G. Villanueva

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Grazyna Badowski

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

  • Yvette C. Paulino

    (Pacific Island Partnership for Cancer Health Equity, University of Guam Cancer Research Center, Mangilao, GU 96913, USA)

Abstract

This study aims to explore how cancer-related risk factors cluster among college students in Guam. Using the 2021–2022 Pacific Islands Cohort of College Students data, we conducted a latent class analysis (LCA) to organize the sample into classes based on clustering cancer risk factors, including tobacco use, binge drinking, low fruit/vegetable intake, physical inactivity, betel nut use, overweight/obesity, depression, and anxiety. Among the 577 college students surveyed, results show a high prevalence of low fruit/vegetable intake, overweight/obesity, depression, and anxiety. The LCA identified three classes, each defined by different clustering cancer risk behaviors. All classes showed high prevalence of low fruit/vegetable intake. Class 1 had the highest rates of tobacco use, betel nut use, and binge drinking. Class 2 had the highest rates of physical inactivity, depression, and anxiety. Class 3 had the lowest rates of betel nut use, overweight/obese, depression, and anxiety when compared with Classes 1 and 2. The clustering of risk behaviors highlights the need for targeted interventions and prevention strategies among Guam’s youth, aiming to address these behaviors and potentially reduce cancer risk in the region.

Suggested Citation

  • Aurienne Cruz & Cabrini Aguon & Michael Cajigal & Elaine C. de Leon & Reina Faye P. Evangelista & Su Bin Jin & Ella Macatugal & Gian M. Paras & Lauren Nicole G. Villanueva & Grazyna Badowski & Yvette , 2025. "Latent Class Analysis of Cancer Risk Behaviors Among College Students on Guam: A Pacific Islands Cohort of College Students Study (PICCS)," IJERPH, MDPI, vol. 22(5), pages 1-14, May.
    • Handle: RePEc:gam:jijerp:v:22:y:2025:i:5:p:755-:d:1653637
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    References listed on IDEAS

    as
    1. Tiff-Annie Kenny & Matthew Little & Tad Lemieux & P. Joshua Griffin & Sonia D. Wesche & Yoshitaka Ota & Malek Batal & Hing Man Chan & Melanie Lemire, 2020. "The Retail Food Sector and Indigenous Peoples in High-Income Countries: A Systematic Scoping Review," IJERPH, MDPI, vol. 17(23), pages 1-49, November.
    2. Abd Alghani Khamis & Siti Zuliana Salleh & Mohd Sayuti Ab Karim & Noor Ashikin Mohd Rom & Shamini Janasekaran & Aida Idris & Rusdi Bin Abd Rashid, 2022. "Alcohol Consumption Patterns: A Systematic Review of Demographic and Sociocultural Influencing Factors," IJERPH, MDPI, vol. 19(13), pages 1-17, July.
    3. Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
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