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Peer-reviewedCC BYMental health and physical activity

Modifiable determinants of adolescents’ physical activity and sedentary behaviour in school, home and mixed settings: A DE-PASS systematic review and meta-analysis of self-reported data with a holistic analysis

  • Simone Ciaccioni1,2
  • Livia Oddi3
  • Athanasios Kolovelonis4
  • Ioannis Syrmpas4
  • Anna Marcuzzi5
  • Mohammed Khudair6
  • Kwok Ng7,8,9
  • Gavin Daniel Tempest10
  • Ratko Perić11
  • Frantis̆ek Bartos̆12
  • Maximilian Maier13
  • Mirko Brandes14
21 more authors
  • Angela Carlin15
  • Cristina Cortis16
  • Chiara Corvino17
  • Andrea Di Credico18
  • Patrik Drid19
  • Francesca Gallè20
  • Pascal Izzicupo18
  • Henriette Jahre21
  • Atle Kongsvold5
  • Evangelia Kouidi22
  • Paul Jarle Mork5
  • Federico Palumbo2
  • Penny Louise Sheena Rumbold10
  • Petru Sandu23
  • Mette Stavnsbo24
  • Sofia Vilela25
  • Catherine B. Woods9
  • Kathrin Wunsch26
  • Laura Capranica2
  • Ciarán MacDonncha9
  • Fiona Chun Man Ling27
27 affiliations
  1. 1Department of Education and Sport Sciences, Pegaso University, Naples, Italy
  2. 2Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
  3. 3Department of Information Engineering, Control and Management, Faculty of Information Engineering, Computer Science and Statistics, Sapienza University of Rome, Rome, Italy
  4. 4Department of Physical Education and Sport Sciences, University of Thessaly, Thessaly, Greece
  5. 5Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
  6. 6School of Psychology, Cardiff University, Cardiff, United Kingdom
  7. 7Department of Teacher Education, Turku Institute of Advanced Studies, University of Turku, Finland
  8. 8Institute of Sports Science and Innovation, Lithuanian Sports University, Lithuania
  9. 9Physical Activity for Health Research Centre, Health Research Institute & Department of Physical Education and Sport Sciences, University of Limerick, Ireland
  10. 10Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle Upon Tyne, United Kingdom
  11. 11Exercise Physiology Laboratory, OrthoSport Banja Luka, Banja Luka, Bosnia and Herzegovina
  12. 12Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
  13. 13University College London, London, United Kingdom
  14. 14Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany
  15. 15Centre for Exercise Medicine, Physical Activity and Health, Sport and Exercise Sciences Research Institute, University of Ulster, Jordanstown Campus, Coleraine, United Kingdom
  16. 16Department of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, Cassino, Italy
  17. 17Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
  18. 18Department of Medicine and Aging Sciences, University “G. d’Annunzio” of Chieti-Pescara, Chieti, Italy
  19. 19Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia
  20. 20Department of Medical, Movement and Wellbeing Sciences, University of Naples Parthenope, Naples, Italy
  21. 21Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway
  22. 22Laboratory of Sports Medicine, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
  23. 23National Institute of Public Health in Romania, Bucharest, Romania
  24. 24Department of Sport Science and Physical Education, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway
  25. 25Laboratory for Integrative and Translational Research in Population Health (ITR), EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal
  26. 26Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
  27. 27Local Authority Research Practitioner, Stockport Metropolitan Borough Council, United Kingdom
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Abstract

Purpose Despite physical activity (PA)'s health benefits, few adolescents meet recommended levels. This review examined associations between adolescents’ self-reported PA and sedentary behaviours (SB) and their modifiable determinants, assessing interventions across settings (school, home, mixed). Methods Five databases were searched from 2010 to 2023. Eligible studies included experimental studies assessing adolescents’ self-reported PA/SB and modifiable determinants at pre- and post-intervention. Within a social-ecological framework, Robust-Bayesian-Meta-Analyses (RoBMA) were conducted per setting, assessing heterogeneity and publication-bias. Single-study outcomes were narratively reported. A holistic classification of determinant domains was then applied to map measured determinants and targeted intervention components across individual-psychological, individual-behavioural, interpersonal, and environmental domains. Risk of bias and evidence certainty were also evaluated. PROSPERO-ID: CRD42021282874. Results Twelve RCTs and two CTs (school n =10, home n =2, and school-home n =2 settings) were included. Thirteen studies (93%) incorporated theory-based approaches, and 13 studies (93%) addressed multiple determinant domains, although only four (29%) showed high-integration multi-domain designs. Of the 67 unique modifiable determinants identified, 94% were classified within individual/interpersonal categories. In particular, RoBMAs showed minimal or no pooled effects on PA/SB or determinants, except for weak evidence suggesting a small positive effect on planning in school setting, including action and coping planning, implementation intentions, or commitment to a plan of action, with substantial heterogeneity across studies. Risk of bias was due mainly to randomization and outcome measurement issues. The level of certainty from the evidence ranged from very low to low. Discussion Existing interventions predominantly target individual-level factors, with limited coordinated integration across socio-ecological domains. High-quality future trials should test whether well-designed, integrated multilevel interventions can more consistently modify diverse determinants of adolescents' PA/SB across setting and co-occur with psychosocial benefits.

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Cite

BibTeXRIS
BibTeX
@article{ciaccioni2026modifiable,
  title = {{Modifiable determinants of adolescents’ physical activity and sedentary behaviour in school, home and mixed settings: A DE-PASS systematic review and meta-analysis of self-reported data with a holistic analysis}},
  author = {Simone Ciaccioni and Livia Oddi and Athanasios Kolovelonis and Ioannis Syrmpas and Anna Marcuzzi and Mohammed Khudair and Kwok Ng and Gavin Daniel Tempest and Ratko Perić and Frantis̆ek Bartos̆ and Maximilian Maier and Mirko Brandes and Angela Carlin and Cristina Cortis and Chiara Corvino and Andrea Di Credico and Patrik Drid and Francesca Gallè and Pascal Izzicupo and Henriette Jahre and Atle Kongsvold and Evangelia Kouidi and Paul Jarle Mork and Federico Palumbo and Penny Louise Sheena Rumbold and Petru Sandu and Mette Stavnsbo and Sofia Vilela and Catherine B. Woods and Kathrin Wunsch and Laura Capranica and Ciarán MacDonncha and Fiona Chun Man Ling},
  journal = {Mental health and physical activity},
  year = {2026},
  month = jul,
  doi = {10.1016/j.mhpa.2026.100803},
  url = {https://doi.org/10.1016/j.mhpa.2026.100803},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Modifiable determinants of adolescents’ physical activity and sedentary behaviour in school, home and mixed settings: A DE-PASS systematic review and meta-analysis of self-reported data with a holistic analysis
AU  - Simone Ciaccioni
AU  - Livia Oddi
AU  - Athanasios Kolovelonis
AU  - Ioannis Syrmpas
AU  - Anna Marcuzzi
AU  - Mohammed Khudair
AU  - Kwok Ng
AU  - Gavin Daniel Tempest
AU  - Ratko Perić
AU  - Frantis̆ek Bartos̆
AU  - Maximilian Maier
AU  - Mirko Brandes
AU  - Angela Carlin
AU  - Cristina Cortis
AU  - Chiara Corvino
AU  - Andrea Di Credico
AU  - Patrik Drid
AU  - Francesca Gallè
AU  - Pascal Izzicupo
AU  - Henriette Jahre
AU  - Atle Kongsvold
AU  - Evangelia Kouidi
AU  - Paul Jarle Mork
AU  - Federico Palumbo
AU  - Penny Louise Sheena Rumbold
AU  - Petru Sandu
AU  - Mette Stavnsbo
AU  - Sofia Vilela
AU  - Catherine B. Woods
AU  - Kathrin Wunsch
AU  - Laura Capranica
AU  - Ciarán MacDonncha
AU  - Fiona Chun Man Ling
PY  - 2026
DA  - 2026/07/01
JO  - Mental health and physical activity
DO  - 10.1016/j.mhpa.2026.100803
UR  - https://doi.org/10.1016/j.mhpa.2026.100803
AB  - Purpose Despite physical activity (PA)'s health benefits, few adolescents meet recommended levels. This review examined associations between adolescents’ self-reported PA and sedentary behaviours (SB) and their modifiable determinants, assessing interventions across settings (school, home, mixed). Methods Five databases were searched from 2010 to 2023. Eligible studies included experimental studies assessing adolescents’ self-reported PA/SB and modifiable determinants at pre- and post-intervention. Within a social-ecological framework, Robust-Bayesian-Meta-Analyses (RoBMA) were conducted per setting, assessing heterogeneity and publication-bias. Single-study outcomes were narratively reported. A holistic classification of determinant domains was then applied to map measured determinants and targeted intervention components across individual-psychological, individual-behavioural, interpersonal, and environmental domains. Risk of bias and evidence certainty were also evaluated. PROSPERO-ID: CRD42021282874. Results Twelve RCTs and two CTs (school n =10, home n =2, and school-home n =2 settings) were included. Thirteen studies (93%) incorporated theory-based approaches, and 13 studies (93%) addressed multiple determinant domains, although only four (29%) showed high-integration multi-domain designs. Of the 67 unique modifiable determinants identified, 94% were classified within individual/interpersonal categories. In particular, RoBMAs showed minimal or no pooled effects on PA/SB or determinants, except for weak evidence suggesting a small positive effect on planning in school setting, including action and coping planning, implementation intentions, or commitment to a plan of action, with substantial heterogeneity across studies. Risk of bias was due mainly to randomization and outcome measurement issues. The level of certainty from the evidence ranged from very low to low. Discussion Existing interventions predominantly target individual-level factors, with limited coordinated integration across socio-ecological domains. High-quality future trials should test whether well-designed, integrated multilevel interventions can more consistently modify diverse determinants of adolescents' PA/SB across setting and co-occur with psychosocial benefits.
SN  - 1755-2966
SN  - 1878-0199
ER  -