Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project
Objectives To understand the extent to which various demographic and social determinants predict mental health status and their relative hierarchy of predictive power in order to prioritise and develop population-based preventative approaches.Design Cross-sectional analysis of survey data.Setting In...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2024-03-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/14/3/e075095.full |
| _version_ | 1826804370798280704 |
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| author | Jerzy Bala Jennifer Jane Newson Tara C Thiagarajan |
| author_facet | Jerzy Bala Jennifer Jane Newson Tara C Thiagarajan |
| author_sort | Jerzy Bala |
| collection | DOAJ |
| description | Objectives To understand the extent to which various demographic and social determinants predict mental health status and their relative hierarchy of predictive power in order to prioritise and develop population-based preventative approaches.Design Cross-sectional analysis of survey data.Setting Internet-based survey from 32 countries across North America, Europe, Latin America, Middle East and North Africa, Sub-Saharan Africa, South Asia and Australia, collected between April 2020 and December 2021.Participants 270 000 adults aged 18–85+ years who participated in the Global Mind Project.Outcome measures We used 120+ demographic and social determinants to predict aggregate mental health status and scores of individuals (mental health quotient (MHQ)) and determine their relative predictive influence using various machine learning models including gradient boosting and random forest classification for various demographic stratifications by age, gender, geographical region and language. Outcomes reported include model performance metrics of accuracy, precision, recall, F1 scores and importance of individual factors determined by reduction in the squared error attributable to that factor.Results Across all demographic classification models, 80% of those with negative MHQs were correctly identified, while regression models predicted specific MHQ scores within ±15% of the position on the scale. Predictions were higher for older ages (0.9+ accuracy, 0.9+ F1 Score; 65+ years) and poorer for younger ages (0.68 accuracy, 0.68 F1 Score; 18–24 years). Across all age groups, genders, regions and language groups, lack of social interaction and sufficient sleep were several times more important than all other factors. For younger ages (18–24 years), other highly predictive factors included cyberbullying and sexual abuse while not being able to work was high for ages 45–54 years.Conclusion Social determinants of traumas, adversities and lifestyle can account for 60%–90% of mental health challenges. However, additional factors are at play, particularly for younger ages, that are not included in these data and need further investigation. |
| first_indexed | 2024-04-24T23:19:13Z |
| format | Article |
| id | doaj.art-26a1fafe3e8d4d14a83c87d07f868f4b |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2025-03-17T01:53:29Z |
| publishDate | 2024-03-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-26a1fafe3e8d4d14a83c87d07f868f4b2025-02-15T04:10:10ZengBMJ Publishing GroupBMJ Open2044-60552024-03-0114310.1136/bmjopen-2023-075095Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind ProjectJerzy Bala0Jennifer Jane Newson1Tara C Thiagarajan2Sapien Labs, Arlington, Virginia, USASapien Labs, Arlington, Virginia, USASapien Labs, Arlington, Virginia, USAObjectives To understand the extent to which various demographic and social determinants predict mental health status and their relative hierarchy of predictive power in order to prioritise and develop population-based preventative approaches.Design Cross-sectional analysis of survey data.Setting Internet-based survey from 32 countries across North America, Europe, Latin America, Middle East and North Africa, Sub-Saharan Africa, South Asia and Australia, collected between April 2020 and December 2021.Participants 270 000 adults aged 18–85+ years who participated in the Global Mind Project.Outcome measures We used 120+ demographic and social determinants to predict aggregate mental health status and scores of individuals (mental health quotient (MHQ)) and determine their relative predictive influence using various machine learning models including gradient boosting and random forest classification for various demographic stratifications by age, gender, geographical region and language. Outcomes reported include model performance metrics of accuracy, precision, recall, F1 scores and importance of individual factors determined by reduction in the squared error attributable to that factor.Results Across all demographic classification models, 80% of those with negative MHQs were correctly identified, while regression models predicted specific MHQ scores within ±15% of the position on the scale. Predictions were higher for older ages (0.9+ accuracy, 0.9+ F1 Score; 65+ years) and poorer for younger ages (0.68 accuracy, 0.68 F1 Score; 18–24 years). Across all age groups, genders, regions and language groups, lack of social interaction and sufficient sleep were several times more important than all other factors. For younger ages (18–24 years), other highly predictive factors included cyberbullying and sexual abuse while not being able to work was high for ages 45–54 years.Conclusion Social determinants of traumas, adversities and lifestyle can account for 60%–90% of mental health challenges. However, additional factors are at play, particularly for younger ages, that are not included in these data and need further investigation.https://bmjopen.bmj.com/content/14/3/e075095.full |
| spellingShingle | Jerzy Bala Jennifer Jane Newson Tara C Thiagarajan Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project BMJ Open |
| title | Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project |
| title_full | Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project |
| title_fullStr | Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project |
| title_full_unstemmed | Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project |
| title_short | Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project |
| title_sort | hierarchy of demographic and social determinants of mental health analysis of cross sectional survey data from the global mind project |
| url | https://bmjopen.bmj.com/content/14/3/e075095.full |
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