Resilience and lifestyle-related factors as predictors for health-related quality of life among early adolescents: a cross-sectional study

J Int Med Res. 2020 Feb;48(2):300060520903656. doi: 10.1177/0300060520903656.

Abstract

Objective: To examine whether lifestyle-related factors and resilience predict health-related quality of life (HRQoL) in a sample of early adolescents.

Methods: A total of 611 eighth grade pupils (response rate: 79%) participated in this cross-sectional study. The variables measured were physical activity (accelerometer), cardiorespiratory fitness (Andersen test) and a questionnaire assessing dietary habits, sleep disturbance, resilience (Resilience Scale for Adolescents) and HRQoL (KIDSCREEN-27).

Results: A total of 36% of the sample met the official recommendations of 60 minutes of daily physical activity. Univariate analysis identified physical activity, dietary habits, sleep disturbances, body mass index (BMI), cardiorespiratory fitness and resilience, but not sedentary time, as predictors of HRQoL. Multivariate regression analysis identified resilience as a positive predictor (β 0.18 to 0.27) of all HRQoL domains and sleep disturbance as a negative predictor (β −0.65 to −0.24) of four HRQoL domains. BMI (β = −0.27) and cardiorespiratory fitness (β = 0.021) were predictors of the HRQoL domain physical well-being. Adherence to dietary recommendations was both a positive and a negative predictor of HRQoL (β −0.45 to 0.59).

Conclusion: Resilience and sleep disturbances were the main predictors of HRQoL.

Keywords: Public health; adolescents; exercise; health promotion; mental health; resilience; sleep.

MeSH terms

  • Adolescent
  • Adolescent Health / statistics & numerical data*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Life Style*
  • Male
  • Norway / epidemiology
  • Quality of Life*
  • Resilience, Psychological*
  • Sleep Wake Disorders / complications
  • Sleep Wake Disorders / epidemiology*
  • Sleep Wake Disorders / psychology
  • Surveys and Questionnaires / statistics & numerical data