Understanding adolescent males' poor mental health and health-compromising behaviours: A factor analysis model on Swedish school-based data

Scand J Public Health. 2022 Mar;50(2):232-244. doi: 10.1177/1403494820974555. Epub 2020 Dec 15.

Abstract

Aim: The aim was to develop a factor model of the clustering of poor mental-health symptoms and health-compromising behaviours (HCBs) in adolescent males.

Methods: The study was based on two cross-sectional school-based Swedish surveys in 2011 (response rate 80%, N=2823) and 2014 (response rate 85%, N=2358), both of which comprised questionnaires from males aged 15-16 and 17-18 years. A factor model was developed by exploratory factor analysis on the 2011 survey and validated by confirmatory factor analysis on the 2014 survey.

Results: Four aspects of poor mental health and HCBs emerged in the exploratory factor analysis: (a) deviancy as a tendency to substance use and delinquency, (b) unsafety as an inclination towards feelings of unsafety in different environments, (c) gloominess as a tendency towards pessimism and feeling unwell and (d) pain as an inclination to experience physical pain. The model was validated with good model fit. Age did not affect the model structure, but older adolescent males were more influenced by deviancy and gloominess and less by unsafety compared to their younger peers. Conclusions: Separating symptoms of poor mental health and HCBs into four areas - deviancy, unsafety, gloominess and pain - brings new perspectives to the understanding of adolescent males' health. To the best of our knowledge, our factor model is the first to include unsafety and pain in this context. Whenever a comprehensive approach to the health of adolescent males is needed in the clinic or in the field of public health, this factor model may provide guidance.

Keywords: Adolescent; cross-sectional studies; factor analysis; male; mental health; risk taking; statistical.

MeSH terms

  • Adolescent
  • Adolescent Behavior* / psychology
  • Cross-Sectional Studies
  • Factor Analysis, Statistical
  • Humans
  • Male
  • Mental Health*
  • Schools
  • Surveys and Questionnaires
  • Sweden / epidemiology