Indicators for the promotion of mental health and the prevention of mental health problems: a scoping review

Authors

  • Navinee Regnault, M.Sc. Division of Mental Health Promotion and Development, Department of Mental Health, Nonthaburi Province

DOI:

https://doi.org/10.64838/jmht.2025.275504

Keywords:

data technology, mental health indicators, mental health problem prevention, mental health promotion

Abstract

Objective: To review and identify key indicators related to the promotion of mental health and the prevention of mental health problems at the population level, as well as methods of data collection and analysis.

Methods: Articles in both Thai and English, published between 2015 and 2025, were systematically searched through databases including PubMed, PsycINFO, ThaiJO, and Google Scholar.

Results: Out of 1,560 articles screened, four relevant articles were included in the final review. A total of 74 indicators related to determinants of mental health were identified. The indicators were grouped using the functional model of mental health as a conceptual framework to understand the factors influencing overall mental health and risks associated with the development and progression of mental health problems across multiple dimensions. However, gaps remained in data collection and mining, as well as a lack of standardized mental health indicators across countries. These issues affected the coverage of hard-to-reach populations, the comparability of data across regions, the accuracy of surveillance, and the sensitivity to changes in social contexts.

Conclusion: This study provides insights for public health agencies and researchers seeking to develop indicators and data utilization strategies to promote mental health and prevent mental health problems at the population level.

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References

World Health Organization. Comprehensive mental health action plan 2013-2030. Geneva: World Health Organization; 2021.

World Health Organization. Mental health action plan 2013-2020. Geneva: World Health Organization; 2013.

Choi BC. The past, present, and future of public health surveillance. Scientifica (Cairo). 2012;2012:875253. DOI: https://doi.org/10.6064/2012/875253

Holmes EA, O’Connor RC, Perry VH, Tracey I, Wessely S, Arseneault L, et al. Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry. 2020;7(6):547-60. DOI: https://doi.org/10.1016/S2215-0366(20)30168-1

Mental Health, Brain Health and Substance Use (MSD). Mental Health Atlas 2020. Geneva: World Health Organization; 2021.

Department of Mental Health. E-Report [Internet]. Nonthaburi: Department of Mental Health; [cited 2024 Nov 26]. Available from: https://dmh.go.th/report/. (in Thai)

Department of Mental Health. Overview of psychiatric patients [Internet]. Nonthaburi: Department of Mental Health; [cited 2024 Nov 26]. Available from: https://dtc.dmh.go.th (in Thai)

Chutha W, Buaphuan S. Prevalence of self-control disorders: national mental health epidemiology survey of Thailand 2023 [Internet]. Nonthaburi: Mental Health Knowledge Base, Department of Mental Health; 2024 [cited 2024 Nov 26]. Available from: https://dmh-elibrary.org/items/show/1684 (in Thai)

Department of Mental Health. Mental health check-in [Internet]. Nonthaburi: Department of Mental Health [cited 2024 Nov 26]. Available from: https://วัดใจ.com (in Thai)

Engel GL. The need for a new medical model: a challenge for biomedicine. Science. 1977;196(4286):129-36. DOI: https://doi.org/10.1126/science.847460

Korkeila J, Lehtinen V, Bijl R, Dalgard OS, Kovess V, Morgan A, et al. Establishing a set of mental health indicators for Europe. Scand J Public Health. 2003;31(6):451-9. DOI: https://doi.org/10.1080/14034940210165208

McGrath A, Matthews E, Murphy N, Oostveen I, Wagemakers A, Verkooijen K. Identification of relevant mental health indicators for European community-based health enhancing physical activity initiatives: an adapted Delphi study. Ment Health Phys Act. 2024;27:100638. DOI: https://doi.org/10.1016/j.mhpa.2024.100638

Orpana H, Vachon J, Dykxhoorn J, McRae L, Jayaraman G. Monitoring positive mental health and its determinants in Canada: the development of the Positive Mental Health Surveillance Indicator Framework. Health Promot Chronic Dis Prev Can. 2016;36(1):1-10. DOI: https://doi.org/10.24095/hpcdp.36.1.01

Peitz D, Kersjes C, Thom J, Hoelling H, Mauz E. Indicators for public mental health: a scoping review. Front Public Health. 2021;9:714497. DOI: https://doi.org/10.3389/fpubh.2021.714497

Thom J, Mauz E, Peitz D, Kersjes C, Aichberger M, Baumeister H, et al. Establishing a mental health surveillance in Germany: development of a framework concept and indicator set. J Health Monit. 2021;6(4):34-50.

Bjørlykhaug KI, Karlsson B, Hesook SK, Kleppe LC. Social support and recovery from mental health problems: a scoping review. Nordic Social Work Research. 2021;12(5):666-97. DOI: https://doi.org/10.1080/2156857X.2020.1868553

Margraf J, Teismann T, Brailovskaia J. Predictive power of positive mental health: a scoping review. J Happiness Stud. 2024;25:81. DOI: https://doi.org/10.1007/s10902-024-00788-x

Brenner PS, DeLamater J. The social context of health and illness. New York: Routledge; 2016.

Latkin CA, Edwards C, Davey-Rothwell MA, Tobin KE. The relationship between social desirability bias and self-reports of health, substance use, and social network factors among urban substance users in Baltimore, Maryland. Addict Behav. 2017;73:133-6. DOI: https://doi.org/10.1016/j.addbeh.2017.05.005

Ellard Gray A, Jeffrey NK, Choubak M, Crann SE. Finding the hidden participant: solutions for recruiting hidden, hard to reach, and vulnerable populations. Int J Qual Methods. 2015;14(5). DOI: https://doi.org/10.1177/1609406915621420

Alonso SG, de la Torre-Díez I, Hamrioui S, López-Coronado M, Barreno DC, Nozaleda LM, et al. Data mining algorithms and techniques in mental health: A systematic review. J Med Syst. 2018;42(9):161. DOI: https://doi.org/10.1007/s10916-018-1018-2

Shatte ABR, Hutchinson DM, Teague SJ. Machine learning in mental health: a scoping review of methods and applications. Psychol Med. 2019;49(9):1-23. DOI: https://doi.org/10.1017/S0033291719000151

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Published

2025-06-26

How to Cite

1.
Regnault N. Indicators for the promotion of mental health and the prevention of mental health problems: a scoping review. J Ment Health Thai [internet]. 2025 Jun. 26 [cited 2026 Jan. 1];33(2):151-62. available from: https://he01.tci-thaijo.org/index.php/jmht/article/view/275504

Issue

Section

Review article