Development of Multimorbidity Indexes Based on Common Mental Health Conditions
ObjectivesNumerous multimorbidity indexes exist, focused primarily or solely on somatic conditions. We developed mental multimorbidity indexes as epidemiological tools.MethodsParticipants in the French NutriNet-Santé cohort (73.5% women; mean age = 59.5 ± 13.7 years; index development N = 20,000; in...
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Frontiers Media S.A.
2025-02-01
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| Series: | International Journal of Public Health |
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| Online Access: | https://www.ssph-journal.org/articles/10.3389/ijph.2025.1607952/full |
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| author | Junko Kose Emmanuelle Kesse-Guyot Pauline Duquenne Serge Hercberg Serge Hercberg Pilar Galan Mathilde Touvier Valentina A. Andreeva Léopold K. Fezeu |
| author_facet | Junko Kose Emmanuelle Kesse-Guyot Pauline Duquenne Serge Hercberg Serge Hercberg Pilar Galan Mathilde Touvier Valentina A. Andreeva Léopold K. Fezeu |
| author_sort | Junko Kose |
| collection | DOAJ |
| description | ObjectivesNumerous multimorbidity indexes exist, focused primarily or solely on somatic conditions. We developed mental multimorbidity indexes as epidemiological tools.MethodsParticipants in the French NutriNet-Santé cohort (73.5% women; mean age = 59.5 ± 13.7 years; index development N = 20,000; index comparison N = 7,259) completed self-report questionnaires (2020–2022) regarding depressive symptoms, anxiety, eating disorders, insomnia, alcohol use disorders, cognitive difficulties, and the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0). Using established cutoffs, participants were split into 2 groups for each condition. Tweedie regression analyses were performed with the 6 mental health conditions as exposures and the WHODAS 2.0 score as the outcome. Performance (C-index) and calibration of the indexes were compared with a simple count.ResultsA general and a sex-specific mental multimorbidity indexes were developed; both were significantly associated with the disability score. The new indexes had slightly better predictive performance than simple counts of mental disorders.ConclusionWe developed mental multimorbidity indexes as epidemiological research tools. Future prospective studies could investigate their predictive potential regarding outcomes such as medication use, healthcare utilization, and quality of life. |
| format | Article |
| id | doaj-art-ca2d1d647f6b4cf0bd4562e56cf87eff |
| institution | Kabale University |
| issn | 1661-8564 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | International Journal of Public Health |
| spelling | doaj-art-ca2d1d647f6b4cf0bd4562e56cf87eff2025-02-12T04:11:29ZengFrontiers Media S.A.International Journal of Public Health1661-85642025-02-017010.3389/ijph.2025.16079521607952Development of Multimorbidity Indexes Based on Common Mental Health ConditionsJunko Kose0Emmanuelle Kesse-Guyot1Pauline Duquenne2Serge Hercberg3Serge Hercberg4Pilar Galan5Mathilde Touvier6Valentina A. Andreeva7Léopold K. Fezeu8Sorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, FranceSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, FranceSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, FranceSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, FranceDepartment of Public Health, Assistance publique – Hôpitaux de Paris (AP-HP) Paris Seine-Saint-Denis Hospital System, Bobigny, FranceSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, FranceSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, FranceSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, FranceSorbonne Paris Nord University, Institut national de la santé et de la recherche médicale (INSERM)/Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)/Conservatoire national des arts et métiers (CNAM), Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, FranceObjectivesNumerous multimorbidity indexes exist, focused primarily or solely on somatic conditions. We developed mental multimorbidity indexes as epidemiological tools.MethodsParticipants in the French NutriNet-Santé cohort (73.5% women; mean age = 59.5 ± 13.7 years; index development N = 20,000; index comparison N = 7,259) completed self-report questionnaires (2020–2022) regarding depressive symptoms, anxiety, eating disorders, insomnia, alcohol use disorders, cognitive difficulties, and the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0). Using established cutoffs, participants were split into 2 groups for each condition. Tweedie regression analyses were performed with the 6 mental health conditions as exposures and the WHODAS 2.0 score as the outcome. Performance (C-index) and calibration of the indexes were compared with a simple count.ResultsA general and a sex-specific mental multimorbidity indexes were developed; both were significantly associated with the disability score. The new indexes had slightly better predictive performance than simple counts of mental disorders.ConclusionWe developed mental multimorbidity indexes as epidemiological research tools. Future prospective studies could investigate their predictive potential regarding outcomes such as medication use, healthcare utilization, and quality of life.https://www.ssph-journal.org/articles/10.3389/ijph.2025.1607952/fullmental disorder comorbiditymental healthmultimorbidity indexepidemiological research toolpublic health |
| spellingShingle | Junko Kose Emmanuelle Kesse-Guyot Pauline Duquenne Serge Hercberg Serge Hercberg Pilar Galan Mathilde Touvier Valentina A. Andreeva Léopold K. Fezeu Development of Multimorbidity Indexes Based on Common Mental Health Conditions International Journal of Public Health mental disorder comorbidity mental health multimorbidity index epidemiological research tool public health |
| title | Development of Multimorbidity Indexes Based on Common Mental Health Conditions |
| title_full | Development of Multimorbidity Indexes Based on Common Mental Health Conditions |
| title_fullStr | Development of Multimorbidity Indexes Based on Common Mental Health Conditions |
| title_full_unstemmed | Development of Multimorbidity Indexes Based on Common Mental Health Conditions |
| title_short | Development of Multimorbidity Indexes Based on Common Mental Health Conditions |
| title_sort | development of multimorbidity indexes based on common mental health conditions |
| topic | mental disorder comorbidity mental health multimorbidity index epidemiological research tool public health |
| url | https://www.ssph-journal.org/articles/10.3389/ijph.2025.1607952/full |
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