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Health Behaviors and Psychological Distress Among Conscripts of the Lithuanian Military Service: A Nationally Representative Cross-Sectional Study

Author

Listed:
  • Brigita Mieziene

    (Lithuanian Sports University, 44221 Kaunas, Lithuania)

  • Arunas Emeljanovas

    (Lithuanian Sports University, 44221 Kaunas, Lithuania)

  • Vida Janina Cesnaitiene

    (Lithuanian Sports University, 44221 Kaunas, Lithuania)

  • Daiva Vizbaraite

    (Lithuanian Sports University, 44221 Kaunas, Lithuania)

  • Renata Zumbakyte-Sermuksniene

    (Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania)

Abstract

The decline in healthy behavior in young people is a concern for public health in general and for country’s defense. The aim of this study is to identify and compare health behaviors and psychological distress between male conscripts enlisted and rejected for military service. This cross-sectional study included 1243 men aged 19–26 years (mean age 22.50 ± 2.43 years). We assessed health behaviors (physical activity, adherence to healthy eating patterns, cigarette smoking, and alcohol consumption) and psychological distress. Among all conscripts, 44.7% were physically inactive, 50.2% had low adherence to healthy nutrition, 9.6% were heavy drinkers, 62.3% were current smokers, and 9.1% had high psychological distress level. Compared with physically inactive conscripts, physically active conscripts were more likely to be enlisted (adjusted odds ratio (OR) = 1.42; 95% confidence interval (CI) 1.11–2.03). Compared with current nonsmokers, current smokers were less likely to be enlisted (OR = 0.58; CI 0.39–0.86). Compared with conscripts with a high distress level, those with a low distress level were almost four times more likely to be enlisted (OR = 0.26; 95% CI 0.12–0.55). Adherence to guidelines for healthy eating and alcohol consumption was not significantly related to enlistment. These findings suggest that health behaviors in male conscripts are unsatisfactory. That is, about half are physically inactive, have a poor diet, and smoke, and nearly one in 10 is a heavy drinker and has a high psychological distress level. The enlisted conscripts were more likely to be sufficiently physically active and less likely to be a current smoker or have a high distress level. Early intervention programs to provide a heathier population of young men for conscription should focus on mental well-being and target health-related behaviors such as physical activity and not smoking. Preferably, these should be implemented as health education programs in schools to help prevent the development of adverse health behaviors among young men. Governmental policies and strategies are required to enable intersectional collaboration and shared responsibility among the education, military and health sectors.

Suggested Citation

  • Brigita Mieziene & Arunas Emeljanovas & Vida Janina Cesnaitiene & Daiva Vizbaraite & Renata Zumbakyte-Sermuksniene, 2020. "Health Behaviors and Psychological Distress Among Conscripts of the Lithuanian Military Service: A Nationally Representative Cross-Sectional Study," IJERPH, MDPI, vol. 17(3), pages 1-13, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:783-:d:313387
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    References listed on IDEAS

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    1. Schneider, S.K. & O'donnell, L. & Stueve, A. & Coulter, R.W.S., 2012. "Cyberbullying, school bullying, and psychological distress: A regional census of high school students," American Journal of Public Health, American Public Health Association, vol. 102(1), pages 171-177.
    2. Gruber, Jonathan & Frakes, Michael, 2006. "Does falling smoking lead to rising obesity?," Journal of Health Economics, Elsevier, vol. 25(2), pages 183-197, March.
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