Three Decades of Adolescent Health: Unveiling Global Trends Across 41 Countries in Psychological and Somatic Complaints (1994-2022)
Language English Country Switzerland Media electronic-ecollection
Document type Journal Article
PubMed
39687284
PubMed Central
PMC11646713
DOI
10.3389/ijph.2024.1607774
PII: 1607774
Knihovny.cz E-resources
- Keywords
- HBSC, adolescence, cross-national, gender differences, mental health,
- MeSH
- Global Health MeSH
- Humans MeSH
- Adolescent MeSH
- Medically Unexplained Symptoms MeSH
- Cross-Sectional Studies MeSH
- Sex Factors MeSH
- Somatoform Disorders epidemiology MeSH
- Adolescent Health * trends MeSH
- Check Tag
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
OBJECTIVES: This study examined (non-)monotonic time trends in psychological and somatic complaints among adolescents, along with gender differences. METHODS: Repeated cross-sectional Health Behaviour in School-aged Children (HBSC) data from 1994 to 2022 covering 15-year-old adolescents from 41 countries (N = 470,797) were analysed. Three polynomial logistic regression models (linear, quadratic, cubic) were tested for best fit, including separate analyses by gender and health complaints dimension. RESULTS: Time trend patterns varied by gender and health complaints dimension. Increases were found in 82.3% of cases (linear 25%, quadratic U-shaped 28.7%, cubic 28.7%), while 14% showed no clear trend, and 3.7% decreased. Boys typically showed linear increases or no clear trend over time, whereas girls generally showed cubic or U-shaped trends. Psychological complaints often displayed U-shaped or cubic patterns, whereas somatic complaints mostly showed linear increases. CONCLUSION: Psychological and somatic complaints demonstrated diverse time trend patterns across countries, with non-monotonic patterns (U-shaped and cubic) frequently observed alongside linear increases. These findings highlight the complexity of changes within countries over three decades, suggesting that linear modelling may not effectively capture this heterogeneity.
Arabkir Medical Centre Institute of Child and Adolescent Health Yerevan Armenia
Centre for Health Services Studies University of Kent Canterbury United Kingdom
Department of Health and Functioning Western Norway University of Applied Sciences Bergen Norway
Department of Public Health and Pediatrics University of Torino Torino Italy
Department of Public Health and Primary Care Ghent University Ghent Belgium
Department of Social Sciences University of Luxembourg Esch sur Alzette Luxembourg
National Institute of Public Health Ljubljana Slovenia
Olomouc University Social Health Institute Palacky University Olomouc Olomouc Czechia
School of Psychology and Life Sciences SPIC Hei Lab Lusófona University Lisbon Portugal
School of Psychology Trinity College Dublin Dublin Ireland
School of Psychology University of New England Armidale NSW Australia
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