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Arias de la Torre J, Vilagut G, Ronaldson A, Bakolis I, Dregan A, Navarro-Mateu F, Pérez K, Szücs A, Bartoll-Roca X, Molina AJ, Elices M, Pérez-Solá V, Martín V, Serrano-Blanco A, Valderas JM, Alonso J. Reconsidering the Use of Population Health Surveys for Monitoring of Mental Health. JMIR Public Health Surveill 2023; 9:e48138. [PMID: 37995112 PMCID: PMC10704303 DOI: 10.2196/48138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 08/18/2023] [Accepted: 09/26/2023] [Indexed: 11/24/2023] Open
Abstract
Monitoring of the mental health status of the population and assessment of its determinants are 2 of the most relevant pillars of public mental health, and data from population health surveys could be instrumental to support them. Although these surveys could be an important and suitable resource for these purposes, due to different limitations and challenges, they are often relegated to the background behind other data sources, such as electronic health records. These limitations and challenges include those related to measurement properties and cross-cultural validity of the tools used for the assessment of mental disorders, their degree of representativeness, and possible difficulties in the linkage with other data sources. Successfully addressing these limitations could significantly increase the potential of health surveys in the monitoring of mental disorders and ultimately maximize the impact of the relevant policies to reduce their burden at the population level. The widespread use of data from population health surveys, ideally linked to electronic health records data, would enhance the quality of the information available for research, public mental health decision-making, and ultimately addressing the growing burden of mental disorders.
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Affiliation(s)
- Jorge Arias de la Torre
- Care in Long Term Conditions Research Division, King's College London, London, United Kingdom
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Biomedical Sciences, Universidad de León, León, Spain
| | - Gemma Vilagut
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Health Services Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Amy Ronaldson
- Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - Ioannis Bakolis
- Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - Alex Dregan
- Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - Fernando Navarro-Mateu
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Katherine Pérez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Anna Szücs
- Department of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Xavier Bartoll-Roca
- Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Antonio J Molina
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Biomedical Sciences, Universidad de León, León, Spain
| | - Matilde Elices
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Víctor Pérez-Solá
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Vicente Martín
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Biomedical Sciences, Universidad de León, León, Spain
| | - Antoni Serrano-Blanco
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institut de Recerca Sant Joan de Déu, Parc Sanitari Sant Joan de Déu, Barcelona, Spain
| | | | - Jordi Alonso
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Health Services Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Medical and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
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Arias de la Torre J, Ronaldson A, Alonso J, Dregan A, Mudway I, Valderas JM, Vineis P, Bakolis I. The relationship between air pollution and multimorbidity: Can two birds be killed with the same stone? Eur J Epidemiol 2023; 38:349-353. [PMID: 36645629 PMCID: PMC9841484 DOI: 10.1007/s10654-022-00955-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/14/2022] [Indexed: 01/17/2023]
Abstract
Air pollution and multimorbidity are two of the most important challenges for Public Health worldwide. Although there is a large body of evidence linking air pollution with the development of different single chronic conditions, the evidence about the relationship between air pollution and multimorbidity (the co-occurrence of multiple long-term conditions) is sparse. To obtain evidence about this relationship could be challenging and different aspects should be considered, such as its multifaceted and complex nature, the specific pollutants and their potential influence on health, their levels of exposure over time, or the data that could be used for its study. This evidence could be instrumental to inform the development of new recommendations and measures to reduce harmful levels of air pollutants, as means to prevent the development of multimorbidity and reduce its burden.
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Affiliation(s)
- Jorge Arias de la Torre
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), Centre for Implementation Science, King's College London, 16 De Crespigny Park, Camberwell, London, SE5 8AB, UK.
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
- Institute of Biomedicine (IBIOMED), University of Leon, Leon, Spain.
| | - Amy Ronaldson
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), Centre for Implementation Science, King's College London, 16 De Crespigny Park, Camberwell, London, SE5 8AB, UK
| | - Jordi Alonso
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Health Services Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Medical and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Alex Dregan
- Psychological Medicine Department. Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
| | - Ian Mudway
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, London, UK
- NIHR-HPRU Environmental Exposures and Health, School of Public Health, Imperial College London, London, UK
| | - Jose M Valderas
- Centre for Research in Health Systems Performance, National University Health System, Singapore, Singapore
| | - Paolo Vineis
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, London, UK
| | - Ioannis Bakolis
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), Centre for Implementation Science, King's College London, 16 De Crespigny Park, Camberwell, London, SE5 8AB, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Arias-de la Torre J, Ronaldson A, Prina M, Matcham F, Pinto Pereira SM, Hatch SL, Armstrong D, Pickles A, Hotopf M, Dregan A. Depressive symptoms during early adulthood and the development of physical multimorbidity in the UK: an observational cohort study. Lancet Healthy Longev 2021; 2:e801-e810. [PMID: 34901908 PMCID: PMC8636278 DOI: 10.1016/s2666-7568(21)00259-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND An understanding of whether early-life depression is associated with physical multimorbidity could be instrumental for the development of preventive measures and the integrated management of depression. We therefore aimed to map out the cumulative incidence of physical multimorbidity over adulthood, and to determine the association between the presence of depressive symptoms during early adulthood and the development of physical multimorbidity in middle age. METHODS In this observational cohort study, we used pooled data from the 1958 National Child Development Study (NCDS) and the 1970 British Cohort Study (BCS). Cohort waves were pooled in each decade of adult life available (when cohort members were aged 26 years in the BCS and 23 years in the NCDS [baseline]; 34 years in the BCS and 33 years in the NCDS [age 34 BCS/33 NCDS]; 42 years in the BCS and NCDS [age 42 BCS/NCDS]; and 46 years in the BCS and 50 years in the NCDS [age 46 BCS/50 NCDS]). We included participants who had completed the nine-item Malaise Inventory at baseline, and did not have a history of physical multimorbidity, any physical multimorbidity at baseline, or the presence of depressive symptoms before the development of physical multimorbidity. The presence of depressive symptoms was determined using the nine-item Malaise Inventory (cutoff score ≥4). Physical multimorbidity was defined as having at least two measures of any of the following ten self-reported groups of long-term conditions: asthma or bronchitis; backache; bladder or kidney conditions; cancer; cardiovascular conditions; convulsions or epilepsy; diabetes; hearing conditions; migraine; and stomach, bowel, or gall conditions. Cumulative incidence (with 95% CI) of physical multimorbidity was calculated for each decade considered after baseline, with physical multimorbidity being assessed as both a dichotomous and categorical variable. The association between depressive symptoms and the development of physical multimorbidity was assessed using adjusted relative risk ratios (with 95% CIs). FINDINGS Analyses included 15 845 participants, of whom 4001 (25·25%; 95% CI 24·57-25·93) had depressive symptoms at baseline and 11 844 (74·75%; 74·07-75·42) did not. The cumulative incidence of physical multimorbidity (dichotomous) ranged over the study period from 2263 (18·44%; 95% CI 17·75-18·14) of 12 273 participants at age 34 BCS/33 NCDS, to 4496 (42·90%; 41·95-43·85) of 10 481 participants at age 46 BCS/50 NCDS, and was consistently higher in participants with depressive symptoms at baseline. The adjusted relative risk of physical multimorbidity was higher in participants with depressive symptoms than in those without and remained stable over the study period (adjusted relative rate ratio 1·67, 95% CI 1·50-1·87, at age 34 BCS/33 NCDS; 1·63, 1·48-1·79, at age 42 BCS/NCDS; and 1·58, 1·43-1·73, at age 46 BCS/50 NCDS). INTERPRETATION The presence of depressive symptoms during early adulthood is associated with an increased risk of the development of physical multimorbidity in middle age. Although further research about the drivers of this relationship is needed, these results could help to enhance the integrated management of individuals with depressive symptoms and the development of preventive strategies to reduce the effect and burden of physical multimorbidity. FUNDING UK Medical Research Council and Guy's Charity.
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Affiliation(s)
- Jorge Arias-de la Torre
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Institute of Biomedicine, University of Leon, Leon, Spain
| | - Amy Ronaldson
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Matthew Prina
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Faith Matcham
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Snehal M Pinto Pereira
- Institute of Sport, Exercise and Health, Faculty of Medical Sciences, University College London, London, UK
| | - Stephani L Hatch
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - David Armstrong
- Department of Primary Care and Public Health Sciences, King's College London, London, UK
| | - Andrew Pickles
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Matthew Hotopf
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Alex Dregan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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