Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies

被引:0
作者
Stuke, Heiner [1 ,2 ]
Schlack, Robert [3 ]
Erhart, Michael [4 ]
Kaman, Anne [4 ]
Ravens-Sieberer, Ulrike [4 ]
Irrgang, Christopher [1 ]
机构
[1] Robert Koch Inst, Ctr Artificial Intelligence Publ Hlth Res, Nordufer 20, D-13353 Berlin, Germany
[2] Charite Univ Med Berlin, Dept Psychiat & Neurosci, Charite Campus Mitte, Berlin, Germany
[3] Robert Koch Inst, Dept Epidemiol & Hlth Monitoring B, Berlin, Germany
[4] Univ Med Ctr Hamburg Eppendorf, Dept Child & Adolescent Psychiat & Psychotherapy &, Hamburg, Germany
来源
JMIR PUBLIC HEALTH AND SURVEILLANCE | 2025年 / 11卷
关键词
mental health; depression; epidemiology; machine learning; prediction; risk factors; adolescence; adolescent; adolescent health; peer; health crisis; Western countries; longitudinal study; cohort study; screen time; physical inactivity; social isolation; public health; assessments; analogous analyses; Pearson correlation; DEPRESSIVE SYMPTOMS; PREVALENCE; CHILDREN; ILLNESS; PARENTS; COMMON; TRENDS; RATES; TIME;
D O I
10.2196/60125
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Converging evidence indicates an adolescent mental health crisis in Western societies that has developed and exacerbated over the past decade. The proposed driving factors of this trend include more screen time, physical inactivity, and social isolation, but their causal influence on mental health is insufficiently understood. Objective: The objective of this study is to test whether and based on which predictor variables the development of mental health in adolescents in the last decade can be predicted and to better understand the causal chain of factors at work. Methods: We implemented an interpretable machine learning pipeline based on gradient boosting regression with repeated cross-validation to assess the development of mental health throughout adolescence in members of 2 longitudinal cohort studies, the British Millenium cohort (MC; n=8599) and the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) cohort (n=1212). In total, 144 (MC) and 102 (KiGGS) predictors assessed at the age of around 13.8 years (MC) and 11.6 years (KiGGS) were used to assess mental health at the ages of around 16.7 years (MC) and 16.4 years (KiGGS). Based on these predictive models, we used permutation-based feature importance analyses to identify relevant predictors and predictor domains. Moreover, we performed partial dependence analyses in a causal inference framework to determine the direct effects of physical inactivity, screen time, and peer problems on the development of mental health. Results: The average cross-validated Pearson correlation coefficient (r) between predicted and true mental health in late adolescence was 0.614 (MC) and 0.466 (KiGGS). Feature importance analyses indicated a strong impact of preexisting mental health and weaker impacts of sex (female as a risk factor), physical health (chronic disease as a risk factor), lifestyle, and socioeconomic and family factors (eg, low parental education, income, and mental health as risk factors). Causal inference analyses suggested a strong direct effect of peer relationships, but only a small direct effect of physical inactivity and a very small direct effect of screen time. Conclusions: Mental health development during adolescence can be assessed by a combination of variables from early adolescence. Peer problems represent an important direct cause of mental health development, and their deterioration may contribute to the current mental health crisis.
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页数:14
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共 57 条
[1]   Smartphones, social media use and youth mental health [J].
Abi-Jaoude, Elia ;
Naylor, Karline Treurnicht ;
Pignatiello, Antonio .
CANADIAN MEDICAL ASSOCIATION JOURNAL, 2020, 192 (06) :E136-E141
[2]   Cross-cohort change in parent-reported emotional problem [J].
Armitage, Jessica M. ;
Kwong, Alex S. F. ;
Tseliou, Foteini ;
Sellers, Ruth ;
Blakey, Rachel ;
Anthony, Rebecca ;
Rice, Frances ;
Thapar, Anita ;
Collishaw, Stephan .
LANCET PSYCHIATRY, 2023, 10 (07) :509-517
[3]   Validation of the Strengths and Difficulties Questionnaire (SDQ) emotional subscale in assessing depression and anxiety across development [J].
Armitage, Jessica May ;
Tseliou, Foteini ;
Riglin, Lucy ;
Dennison, Charlotte ;
Eyre, Olga ;
Bevan Jones, Rhys ;
Rice, Frances ;
Thapar, Ajay K. ;
Thapar, Anita ;
Collishaw, Stephan .
PLOS ONE, 2023, 18 (07)
[4]   Prevalence and Time Trends of Self-Reported Mental Health Problems Among Children and Adolescents Between 11 and 17 Years in the KiGGS Study [J].
Baumgarten, Franz ;
Junker, Stephan ;
Schlack, Robert .
ZEITSCHRIFT FUR KINDER-UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE, 2023, 51 (04) :311-320
[5]   Physical activity and mental health in children and adolescents: An updated review of reviews and an analysis of causality [J].
Biddle, Stuart J. H. ;
Ciaccioni, Simone ;
Thomas, George ;
Vergeer, Ineke .
PSYCHOLOGY OF SPORT AND EXERCISE, 2019, 42 :146-155
[6]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[7]   Early Adolescent Substance Use and Mental Health Problems and Service Utilisation in a School-based Sample [J].
Brownlie, Elizabeth ;
Beitchman, Joseph H. ;
Chaim, Gloria ;
Wolfe, David A. ;
Rush, Brian ;
Henderson, Joanna .
CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE, 2019, 64 (02) :116-125
[8]   Is Loneliness in Emerging Adults Increasing Over Time? A Preregistered Cross-Temporal Meta-Analysis and Systematic Review [J].
Buecker, Susanne ;
Mund, Marcus ;
Chwastek, Sandy ;
Sostmann, Melina ;
Luhmann, Maike .
PSYCHOLOGICAL BULLETIN, 2021, 147 (08) :787-805
[9]  
Climate and Societal Analytics from the Centre for Artificial Intelligence in Public Health Research Robert Koch Institute, About us
[10]   Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) The TRIPOD Statement [J].
Collins, Gary S. ;
Reitsma, Johannes B. ;
Altman, Douglas G. ;
Moons, Karel G. M. .
CIRCULATION, 2015, 131 (02) :211-219