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Senaratne DNS, Thakkar B, Smith BH, Hales TG, Marryat L, Colvin LA. The impact of adverse childhood experiences on multimorbidity: a systematic review and meta-analysis. BMC Med 2024; 22:315. [PMID: 39143489 PMCID: PMC11325707 DOI: 10.1186/s12916-024-03505-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 06/14/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Adverse childhood experiences (ACEs) have been implicated in the aetiology of a range of health outcomes, including multimorbidity. In this systematic review and meta-analysis, we aimed to identify, synthesise, and quantify the current evidence linking ACEs and multimorbidity. METHODS We searched seven databases from inception to 20 July 2023: APA PsycNET, CINAHL Plus, Cochrane CENTRAL, Embase, MEDLINE, Scopus, and Web of Science. We selected studies investigating adverse events occurring during childhood (< 18 years) and an assessment of multimorbidity in adulthood (≥ 18 years). Studies that only assessed adverse events in adulthood or health outcomes in children were excluded. Risk of bias was assessed using the ROBINS-E tool. Meta-analysis of prevalence and dose-response meta-analysis methods were used for quantitative data synthesis. This review was pre-registered with PROSPERO (CRD42023389528). RESULTS From 15,586 records, 25 studies were eligible for inclusion (total participants = 372,162). The prevalence of exposure to ≥ 1 ACEs was 48.1% (95% CI 33.4 to 63.1%). The prevalence of multimorbidity was 34.5% (95% CI 23.4 to 47.5%). Eight studies provided sufficient data for dose-response meta-analysis (total participants = 197,981). There was a significant dose-dependent relationship between ACE exposure and multimorbidity (p < 0.001), with every additional ACE exposure contributing to a 12.9% (95% CI 7.9 to 17.9%) increase in the odds for multimorbidity. However, there was heterogeneity among the included studies (I2 = 76.9%, Cochran Q = 102, p < 0.001). CONCLUSIONS This is the first systematic review and meta-analysis to synthesise the literature on ACEs and multimorbidity, showing a dose-dependent relationship across a large number of participants. It consolidates and enhances an extensive body of literature that shows an association between ACEs and individual long-term health conditions, risky health behaviours, and other poor health outcomes.
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Affiliation(s)
- Dhaneesha N S Senaratne
- Chronic Pain Research Group, Division of Population Health & Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK.
| | - Bhushan Thakkar
- Chronic Pain Research Group, Division of Population Health & Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK
| | - Blair H Smith
- Chronic Pain Research Group, Division of Population Health & Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK
| | - Tim G Hales
- Institute of Academic Anaesthesia, Division of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Louise Marryat
- School of Health Sciences, University of Dundee, Dundee, UK
| | - Lesley A Colvin
- Chronic Pain Research Group, Division of Population Health & Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK
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Ugarteche Pérez A, Berger E, Kelly-Irving M, Delpierre C, Capuron L, Castagné R. Early life stress in relation with risk of overweight, depression, and their comorbidity across adulthood: findings from a British birth cohort. Psychol Med 2024; 54:1853-1866. [PMID: 38197250 DOI: 10.1017/s0033291723003823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
BACKGROUND Multimorbidity, known as the co-occurrence of at least two chronic conditions, has become of increasing concern in the current context of ageing populations, though it affects all ages. Early life risk factors of multimorbidity include adverse childhood experiences (ACEs), particularly associated with psychological conditions and weight problems. Few studies have considered related mechanisms and focus on old age participants. We are interested in estimating, from young adulthood, the risk of overweight-depression comorbidity related to ACEs while adjusting for early life confounders and intermediate variables. METHODS We used data from the 1958 National Child Development Study, a prospective birth cohort study (N = 18 558). A four-category outcome (no condition, overweight only, depression only and, overweight-depression comorbidity) was constructed at 23, 33, and 42 years. Multinomial logistic regression models adjusting for intermediate variables co-occurring with this outcome were created. ACEs and sex interaction on comorbidity risk was tested. RESULTS In our study sample (N = 7762), we found that ACEs were associated with overweight-depression comorbidity risk throughout adulthood (RRR [95% CI] at 23y = 3.80 [2.10-6.88]) though less overtime. Comorbidity risk was larger than risk of separate conditions. Intermediate variables explained part of the association. After full-adjustment, an association remained (RRR [95% CI] at 23y = 2.00 [1.08-3.72]). Comorbidity risk related to ACEs differed by sex at 42. CONCLUSION Our study provides evidence on the link and potential mechanisms between ACEs and the co-occurrence of mental and physical diseases throughout the life-course. We suggest addressing ACEs in intervention strategies and public policies to go beyond single disease prevention.
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Affiliation(s)
| | - Eloïse Berger
- CERPOP, University of Toulouse, Inserm, UPS, Toulouse, France
| | | | | | - Lucile Capuron
- University of Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, Bordeaux, France
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Defina S, Woofenden T, Baltramonaityte V, Tiemeier H, Fairchild G, Felix JF, Cecil CAM, Walton E. The role of lifestyle factors in the association between early-life stress and adolescent psycho-physical health: Moderation analysis in two European birth cohorts. Prev Med 2024; 182:107926. [PMID: 38447658 PMCID: PMC7616134 DOI: 10.1016/j.ypmed.2024.107926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/01/2024] [Accepted: 03/02/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVE Early-life stress (ELS) is an established risk factor for a host of adult mental and physical health problems, including both depression and obesity. Recent studies additionally showed that ELS was associated with an increased risk of comorbidity between mental and physical health problems, already in adolescence. Healthy lifestyle factors, including physical activity, sleep and diet have also been robustly linked to both emotional and physical wellbeing. However, it is yet unclear whether these lifestyle factors may moderate the association between ELS and psycho-physical comorbidity. METHODS We investigated whether (a) participation in physical activity, (b) sleep duration, and (c) adherence to a Mediterranean diet, moderated the relationship between cumulative ELS exposure over the first 10 years of life and psycho-physical comorbidity at the age of 13.5 years. Analyses were conducted in 2022-2023, using data from two large adolescent samples based in the UK (ALSPAC; n = 8428) and The Netherlands (Generation R; n = 4268). RESULTS Exposure to ELS was significantly associated with a higher risk of developing comorbidity, however this association was not modified by any of the three lifestyle factors investigated. Only physical activity was significantly associated with a reduced risk of comorbidity in one cohort (ORALSPAC [95%CI] = 0.73 [0.59;0.89]). CONCLUSIONS In conclusion, while we found some evidence that more frequent physical activity may be associated with a reduction in psycho-physical comorbidity, we did not find evidence in support of the hypothesised moderation effects. However, more research is warranted to examine how these associations may evolve over time.
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Affiliation(s)
- Serena Defina
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Tom Woofenden
- Department of Psychology, University of Bath, Bath, United Kingdom
| | | | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Social and Behavioral Sciences, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Graeme Fairchild
- Department of Psychology, University of Bath, Bath, United Kingdom
| | - Janine F Felix
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, United Kingdom.
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Liu H, Zhang M, Zhang X, Zhao X. Exposure to early-life adversity and long-term trajectories of multimorbidity among older adults in China: analysis of longitudinal data from the China Health and Retirement Longitudinal Study. BMJ Open 2024; 14:e075834. [PMID: 38485180 PMCID: PMC10941172 DOI: 10.1136/bmjopen-2023-075834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 02/27/2024] [Indexed: 03/17/2024] Open
Abstract
OBJECTIVES This study aimed to identify long-term distinct trajectories of multimorbidity with ageing from 50 to 85 years among Chinese older adults and examine the relationship between exposure to early-life adversity (ELA; including specific types of adversity and accumulation of different adversities) and these long-term multimorbidity trajectories. DESIGN The group-based trajectory models identified long-term multimorbidity trajectories. Multinomial logistic regression models were used to examine the relationship between ELA and the identified multimorbidity trajectories. SETTING This study used data from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018) and the 2014 Life History Survey. PARTICIPANTS We used data from 9112 respondents (aged 60 and above) of the 2018 wave of CHARLS. OUTCOME MEASURES Each respondent's history of chronic conditions and experiences of ELA were collected from the 2011-2018 waves of CHARLS and the 2014 Life History Survey. RESULTS Four heterogeneous long-term trajectories of multimorbidity development were identified: 'maintaining-low' (19.1%), 'low onset-rapidly increasing' (23.3%), 'middle onset-moderately increasing' (41.5%) and 'chronically-high' (16.2%). Our findings indicated that the heterogeneity can be explained by ELA experiences. Across various types of different ELA experiences, exposure to food insufficiency (relative risk ratios from 1.372 (95% CI 1.190 to 1.582) to 1.780 (95% CI 1.472 to 2.152)) and parental quarrel/divorce (relative risk ratios from 1.181 (95% CI 1.000 to 1.394) to 1.262 (95% CI 1.038 to 1.536)) had the most prominent associations with health deterioration. The accumulation of more different ELA experiences was associated with a higher relative risk of developing more severe multimorbidity trajectories (relative risk ratio for five to seven ELAs and chronically high trajectory: 7.555, 95% CI 4.993 to 11.431). CONCLUSIONS There are heterogeneous long-term trajectories of multimorbidity in Chinese older adults, and the risk of multimorbidity associated with ELA accumulates over the lifespan. Our findings highlight the role of a supportive early-life family environment in promoting health development across the lifespan, advocating for the integration of life-course approaches to implementing health disparity interventions.
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Affiliation(s)
- Huiying Liu
- Department of Sociology, Central South University, Changsha, China
| | - Mi Zhang
- Department of Sociology, Central South University, Changsha, China
| | - Xinyan Zhang
- Department of Sociology, Central South University, Changsha, China
| | - Xinyi Zhao
- School of Health Humanities, Peking University, Beijing, China
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Taylor K, Demakakos P. Adverse childhood experiences and trajectories of multimorbidity in individuals aged over 50: Evidence from the English Longitudinal Study of Ageing. CHILD ABUSE & NEGLECT 2024; 149:106653. [PMID: 38277873 DOI: 10.1016/j.chiabu.2024.106653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 01/28/2024]
Abstract
BACKGROUND Adverse childhood experiences (ACE) are important for chronic diseases yet their association with multimorbidity remains understudied. Few studies consider the complexity of multimorbidity or observe multimorbidity development over time. OBJECTIVE We investigated whether ACE were associated with multimorbidity at baseline and over a 12-year follow-up period. PARTICIPANTS AND SETTING 5326 participants aged over 50 were obtained from the English Longitudinal Study of Ageing (ELSA). METHODS An ACE summary score was derived using eight ACE items measuring abuse, social care, and household dysfunction. From repeated measurements of 29 chronic conditions over a 12-year period (2008-2019) we derived two multimorbidity measures: number of chronic diseases and number of chronic disease categories. We used multinomial logistic regression to assess associations between ACE and both measures. Mixed effects models were estimated to examine trajectories of multimorbidity by ACE over time. RESULTS Graded associations between ACE and multimorbidity were observed. Compared to those without ACE, participants with ≥3 ACE had three times the risk of having ≥3 chronic diseases (RRR 3.06, 95 % CI 1.85-5.05) and falling into ≥3 chronic disease categories (RRR 2·93 95 % CI 1·74-4·95). Graded associations persisted during 12-year follow-up, though differences in multimorbidity between those with ≥3 ACE and those without ACE remained constant (B 0.02, 95 % CI 0·01-0·03, and B -0·01, 95 % CI -0·02-0·00, number of chronic conditions and chronic condition categories respectively). CONCLUSION ACE are associated with multimorbidity risk and complexity, associations arising before the age of 50. Early intervention amongst those with ACE could attenuate this association.
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Affiliation(s)
- Katherine Taylor
- Division of Biosciences, Medical Sciences Building, University College London, Gower Street, London WC1E 6BT, United Kingdom of Great Britain and Northern Ireland.
| | - Panayotes Demakakos
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 7HB, United Kingdom of Great Britain and Northern Ireland
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Haapanen MJ, Vetrano DL, Mikkola TM, Calderón-Larrañaga A, Dekhtyar S, Kajantie E, Eriksson JG, von Bonsdorff MB. Early growth, stress, and socioeconomic factors as predictors of the rate of multimorbidity accumulation across the life course: a longitudinal birth cohort study. THE LANCET. HEALTHY LONGEVITY 2024; 5:e56-e65. [PMID: 38103563 DOI: 10.1016/s2666-7568(23)00231-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/20/2023] [Accepted: 10/26/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND Early growth, stress, and socioeconomic factors are associated with future risk of individual chronic diseases. It is uncertain whether they also affect the rate of multimorbidity accumulation later in life. This study aimed to explore whether early life factors are associated with the rate at which chronic diseases are accumulated across older age. METHODS In this national birth cohort study, we studied people born at Helsinki University Central Hospital, Helsinki, Finland between Jan 1, 1934, and Dec 31, 1944, who attended child welfare clinics in the city, and were living in Finland in 1971. Individuals who had died or emigrated from Finland before 1987 were excluded, alongside participants without any registry data and who died before the end of the registry follow-up on Dec 31, 2017. Early anthropometry, growth, wartime parental separation, and socioeconomic factors were recorded from birth, child welfare clinic, or school health-care records, and Finnish National Archives. International Classification of Diseases codes of diagnoses for chronic diseases were obtained from the Care Register for Health Care starting from 1987 (when participants were aged 42-53 years) until 2017. Linear mixed models were used to study the association between early-life factors and the rate of change in the number of chronic diseases over 10-year periods. FINDINGS From Jan 1, 1934, to Dec 31, 2017, 11 689 people (6064 [51·9%] men and 5625 [48·1%] women) were included in the study. Individuals born to mothers younger than 25 years (β 0·09; 95% CI 0·06-0·12), mothers with a BMI of 25-30 kg/m2 (0·08; 0·05-0·10), and mothers with a BMI more than 30 kg/m2 (0·26; 0·21-0·31) in late pregnancy accumulated chronic diseases faster than those born to older mothers (25-30 years) and those with a BMI of less than 25 kg/m2. Individuals with a birthweight less than 2·5 kg (0·17; 0·10-0·25) and those with a rapid growth in height and weight from birth until age 11 years accumulated chronic diseases faster during their life course. Additionally, paternal occupational class (manual workers vs upper-middle class 0·27; 0·23-0·30) and wartime parental separation (0·24; 0·19-0·29 for boys; 0·31; 0·25-0·36 for girls) were associated with a faster rate of chronic disease accumulation. INTERPRETATION Our findings suggest that the foundation for accumulating chronic diseases is established early in life. Early interventions might be needed for vulnerable populations, including war evacuee children and children with lower socioeconomic status. FUNDING Finska Läkaresällskapet, Liv och Hälsa rf, the Finnish Pediatric Research Foundation, and Folkhälsan Research Center. TRANSLATIONS For the Finnish and Swedish translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Markus J Haapanen
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Davide L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Tuija M Mikkola
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Amaia Calderón-Larrañaga
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Serhiy Dekhtyar
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Eero Kajantie
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland; Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Johan G Eriksson
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland; Yong Loo Lin School of Medicine, Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, National University Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Mikaela B von Bonsdorff
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
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Tazzeo C, Zucchelli A, Vetrano DL, Demurtas J, Smith L, Schoene D, Sanchez-Rodriguez D, Onder G, Balci C, Bonetti S, Grande G, Torbahn G, Veronese N, Marengoni A. Risk factors for multimorbidity in adulthood: A systematic review. Ageing Res Rev 2023; 91:102039. [PMID: 37647994 DOI: 10.1016/j.arr.2023.102039] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/25/2023] [Accepted: 08/18/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Multimorbidity, the coexistence of multiple chronic diseases in an individual, is highly prevalent and challenging for healthcare systems. However, its risk factors remain poorly understood. OBJECTIVE To systematically review studies reporting multimorbidity risk factors. METHODS A PRISMA-compliant systematic review was conducted, searching electronic databases (MEDLINE, EMBASE, Web of Science, Scopus). Inclusion criteria were studies addressing multimorbidity transitions, trajectories, continuous disease counts, and specific patterns. Non-human studies and participants under 18 were excluded. Associations between risk factors and multimorbidity onset were reported. RESULTS Of 20,806 identified studies, 68 were included, with participants aged 18-105 from 23 countries. Nine risk factor categories were identified, including demographic, socioeconomic, and behavioral factors. Older age, low education, obesity, hypertension, depression, low pysical function were generally positively associated with multimorbidity. Results for factors like smoking, alcohol consumption, and dietary patterns were inconsistent. Study quality was moderate, with 16.2% having low risk of bias. CONCLUSIONS Several risk factors seem to be consistently associated with an increased risk of accumulating chronic diseases over time. However, heterogeneity in settings, exposure and outcome, and baseline health of participants hampers robust conclusions.
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Affiliation(s)
- Clare Tazzeo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Alberto Zucchelli
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
| | - Davide Liborio Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Jacopo Demurtas
- Primary Care Department USL Toscana Sud Est, AFT Orbetello, Italy
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Daniel Schoene
- Friedrich-Alexander University Erlangen-Nürnberg, Institute of Medical Physics, Erlangen, Germany; Leipzig University, Institute of Exercise and Public Health, Leipzig, Germany; Robert-Bosch-Hospital, Department of Clinical Gerontology, Stuttgart, Germany
| | - Dolores Sanchez-Rodriguez
- Geriatrics Department, Brugmann university hospital, Université Libre de Bruxelles, Brussels, Belgium; WHO Collaborating Centre for Public Health Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium; Geriatrics Department, Parc Salut Mar, Rehabilitation Research Group, Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Graziano Onder
- Department of Geriatric and Orthopedic sciences, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Cafer Balci
- Hacettepe University Faculty of Medicine Division of Geriatric Medicine, Turkey
| | - Silvia Bonetti
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Gabriel Torbahn
- Department of Pediatrics, Paracelsus Medical University, Klinikum Nürnberg, Universitätsklinik der Paracelsus Medizinischen Privatuniversität Nürnberg, Nuremberg, Germany; Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria; Institute for Biomedicine of Aging, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
| | - Nicola Veronese
- Department of Internal Medicine, Geriatrics Section, University of Palermo, Palermo, Italy
| | - Alessandra Marengoni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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Chandrasekar R, Lacey RE, Chaturvedi N, Hughes AD, Patalay P, Khanolkar AR. Adverse childhood experiences and the development of multimorbidity across adulthood-a national 70-year cohort study. Age Ageing 2023; 52:afad062. [PMID: 37104379 PMCID: PMC10137110 DOI: 10.1093/ageing/afad062] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 02/16/2023] [Indexed: 04/28/2023] Open
Abstract
AIM To examine impact of adverse childhood experiences (ACE) on rates and development of multimorbidity across three decades in adulthood. METHODS Sample: Participants from the 1946 National Survey of Health and Development, who attended the age 36 assessment in 1982 and follow-up assessments (ages 43, 53, 63, 69; N = 3,264, 51% males). Prospectively collected data on nine ACEs was grouped into (i) psychosocial, (ii) parental health and (iii) childhood health. For each group, we calculated cumulative ACE scores, categorised into 0, 1 and ≥2 ACEs. Multimorbidity was estimated as the total score of 18 health disorders.Serial cross-sectional linear regression was used to estimate associations between grouped ACEs and multimorbidity during follow-up. Longitudinal analysis of ACE-associated changes in multimorbidity trajectories across follow-up was estimated using linear mixed-effects modelling for ACE groups (adjusted for sex and childhood socioeconomic circumstances). FINDINGS Accumulation of psychosocial and childhood health ACEs were associated with progressively higher multimorbidity scores throughout follow-up. For example, those with ≥2 psychosocial ACEs experienced 0.20(95% CI 0.07, 0.34) more disorders at age 36 than those with none, rising to 0.61(0.18, 1.04) disorders at age 69.All three grouped ACEs were associated with greater rates of accumulation and higher multimorbidity trajectories across adulthood. For example, individuals with ≥2 psychosocial ACEs developed 0.13(-0.09, 0.34) more disorders between ages 36 and 43, 0.29(0.06, 0.52) disorders between ages 53 and 63, and 0.30(0.09, 0.52) disorders between ages 63 and 69 compared with no psychosocial ACEs. INTERPRETATIONS ACEs are associated with widening inequalities in multimorbidity development in adulthood and early old age. Public health policies should aim to reduce these disparities through individual and population-level interventions.
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Affiliation(s)
| | - Rebecca E Lacey
- Research Department of Epidemiology and Public Health, University College London, London WC1E 7HB, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at University College London, London WC1E 7HB, UK
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at University College London, London WC1E 7HB, UK
| | - Praveetha Patalay
- MRC Unit for Lifelong Health and Ageing at University College London, London WC1E 7HB, UK
- Centre for Longitudinal Studies, University College London Social Research Institute, London WC1H 0AL, UK
| | - Amal R Khanolkar
- MRC Unit for Lifelong Health and Ageing at University College London, London WC1E 7HB, UK
- Department of Population Health Sciences, King’s College London, London SE1 1UL, UK
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Santos MA, Jardim GB, Ranjbar S, Gholam M, Schuster JP, Gomes I, von Gunten A. Childhood maltreatment and late-life generalized anxiety disorder: are personality and attachment characteristics mediators? JOURNAL OF AFFECTIVE DISORDERS REPORTS 2023. [DOI: 10.1016/j.jadr.2023.100514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
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Stannard S, Berrington A, Paranjothy S, Owen R, Fraser S, Hoyle R, Boniface M, Wilkinson B, Akbari A, Batchelor S, Jones W, Ashworth M, Welch J, Mair FS, Alwan NA. A conceptual framework for characterising lifecourse determinants of multiple long-term condition multimorbidity. JOURNAL OF MULTIMORBIDITY AND COMORBIDITY 2023; 13:26335565231193951. [PMID: 37674536 PMCID: PMC10478563 DOI: 10.1177/26335565231193951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Objective Social, biological and environmental factors in early-life, defined as the period from preconception until age 18, play a role in shaping the risk of multiple long-term condition multimorbidity. However, there is a need to conceptualise these early-life factors, how they relate to each other, and provide conceptual framing for future research on aetiology and modelling prevention scenarios of multimorbidity. We develop a conceptual framework to characterise the population-level domains of early-life determinants of future multimorbidity. Method This work was conducted as part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) study. The conceptualisation of multimorbidity lifecourse determinant domains was shaped by a review of existing research evidence and policy, and co-produced with public involvement via two workshops. Results Early-life risk factors incorporate personal, social, economic, behavioural and environmental factors, and the key domains discussed in research evidence, policy, and with public contributors included adverse childhood experiences, socioeconomics, the social and physical environment, and education. Policy recommendations more often focused on individual-level factors as opposed to the wider determinants of health discussed within the research evidence. Some domains highlighted through our co-production process with public contributors, such as religion and spirituality, health screening and check-ups, and diet, were not adequately considered within the research evidence or policy. Conclusions This co-produced conceptualisation can inform research directions using primary and secondary data to investigate the early-life characteristics of population groups at risk of future multimorbidity, as well as policy directions to target public health prevention scenarios of early-onset multimorbidity.
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Affiliation(s)
- Sebastian Stannard
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK
| | - Ann Berrington
- Department of Social Statistics and Demography, University of Southampton, Southampton, UK
| | - Shantini Paranjothy
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Rhiannon Owen
- Population Data Science, Faculty of Medicine, Health and Life Science, Medical School, Swansea University, Swansea, UK
| | - Simon Fraser
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK
| | - Rebecca Hoyle
- School of Mathematical Sciences, University of Southampton, Southampton, UK
| | - Michael Boniface
- School of Electronics and Computer Science, University of Southampton, Southampton, UK
| | | | - Ashley Akbari
- Population Data Science, Faculty of Medicine, Health and Life Science, Medical School, Swansea University, Swansea, UK
| | | | - William Jones
- Patient and Public Involvement, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Mark Ashworth
- School of Life Course and Population Sciences, King’s College London, London, UK
| | - Jack Welch
- Public Contributor on MELD-B, Southampton, UK
| | - Frances S Mair
- General Practice & Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Nisreen A Alwan
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton; University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton, UK
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11
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Jin C, Dai X, Mishra GD, Wang Y, Xu X. Childhood socioeconomic disadvantage and risk of physical multimorbidity in later life: The mediating role of depression. Maturitas 2022; 167:17-23. [DOI: 10.1016/j.maturitas.2022.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/12/2022] [Accepted: 09/15/2022] [Indexed: 11/26/2022]
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12
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Jungo KT, Cheval B, Sieber S, Antonia van der Linden BW, Ihle A, Carmeli C, Chiolero A, Streit S, Cullati S. Life-course socioeconomic conditions, multimorbidity and polypharmacy in older adults: A retrospective cohort study. PLoS One 2022; 17:e0271298. [PMID: 35917337 PMCID: PMC9345356 DOI: 10.1371/journal.pone.0271298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 06/27/2022] [Indexed: 11/26/2022] Open
Abstract
Socioeconomic conditions across the life course may contribute to differences in multimorbidity and polypharmacy in old age. However, whether the risk of multimorbidity changes during ageing and whether life-course socioeconomic conditions are associated with polypharmacy remain unclear. We investigated whether disadvantaged childhood socioeconomic conditions (CSCs) predict increased odds of multimorbidity and polypharmacy in older adults, whether CSCs remain associated when adjusting for adulthood socioeconomic conditions (ACSs), and whether CSCs and ACSs are associated cumulatively over the life course. We used data for 31,432 participants (multimorbidity cohort, mean [SD] age 66·2[9] years), and 21,794 participants (polypharmacy cohort, mean age 69·0[8.9] years) from the Survey of Health, Ageing, and Retirement in Europe (age range 50-96 years). We used mixed-effects logistic regression to assess the associations of CSCs, ASCs, and a life-course socioeconomic conditions score (0-8; 8, most advantaged) with multimorbidity (≥2 chronic conditions) and polypharmacy (≥5 drugs taken daily). We found an association between CSCs and multimorbidity (reference: most disadvantaged; disadvantaged: odds ratio (OR) = 0·79, 95% confidence interval (CI) 0·70-0·90; middle: OR = 0·60; 95%CI 0·53-0·68; advantaged: OR = 0·52, 95%CI 0·45-0·60, most advantaged: OR = 0·40, 95%CI 0·34-0·48) but not polypharmacy. This multimorbidity association was attenuated but remained significant after adjusting for ASCs. The life-course socioeconomic conditions score was associated with multimorbidity and polypharmacy. We did not find an association between CSCs, life-course socioeconomic conditions, and change in odds of multimorbidity and polypharmacy with ageing. Exposure to disadvantaged socioeconomic conditions in childhood or over the entire life-course could predict multimorbidity in older age.
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Affiliation(s)
| | - Boris Cheval
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
- Laboratory for the Study of Emotion Elicitation and Expression (E3Lab), University of Geneva, Geneva, Switzerland
| | - Stefan Sieber
- Swiss NCCR “LIVES: Overcoming Vulnerability: Life Course Perspectives”, University of Geneva, Geneva, Switzerland
- LIVES Centre, Swiss Centre of Expertise in Life Course Research, University of Lausanne, Lausanne, Switzerland
| | - Bernadette Wilhelmina Antonia van der Linden
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
- Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America
- Population Health Laboratory, #PopHealthLab, University of Fribourg, Fribourg, Switzerland
| | - Andreas Ihle
- Swiss NCCR “LIVES: Overcoming Vulnerability: Life Course Perspectives”, University of Geneva, Geneva, Switzerland
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
- Department of Psychology, University of Geneva, Geneva, Switzerland
| | - Cristian Carmeli
- Population Health Laboratory, #PopHealthLab, University of Fribourg, Fribourg, Switzerland
| | - Arnaud Chiolero
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- Population Health Laboratory, #PopHealthLab, University of Fribourg, Fribourg, Switzerland
- School of Global and Population Health, McGill University, Montreal, Canada
| | - Sven Streit
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Stéphane Cullati
- Population Health Laboratory, #PopHealthLab, University of Fribourg, Fribourg, Switzerland
- Department of Readaptation and Geriatrics, University of Geneva, Geneva, Switzerland
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13
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Life course socioeconomic conditions and multimorbidity in old age - A scoping review. Ageing Res Rev 2022; 78:101630. [PMID: 35430301 DOI: 10.1016/j.arr.2022.101630] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/23/2022] [Accepted: 04/11/2022] [Indexed: 01/23/2023]
Abstract
Multimorbidity disproportionally affects individuals exposed to socioeconomic disadvantage. It is, however, unclear how adverse socioeconomic conditions (SEC) at different periods of the life course predict the occurrence of multimorbidity in later life. In this scoping review, we investigate the association between life course SEC and later-life multimorbidity, and assess to which extent it supports different life course causal models (critical period, sensitive period, accumulation, pathway, or social mobility). We identified four studies (25,209 participants) with the first measure of SEC in childhood (before age 18). In these four studies, childhood SEC was associated with multimorbidity in old age, and the associations were partially or fully attenuated upon adjustment for later-life SEC. These results are consistent with the sensitive period and the pathway models. We identified five studies (91,236 participants) with the first measure of SEC in young adulthood (after age 18), and the associations with multimorbidity in old age as well as the effects of adjustment for later-life SEC differed from one study to the other. Among the nine included studies, none tested the social mobility or the accumulation models. In conclusion, SEC in early life could have an effect on multimorbidity, attenuated at least partly by SEC in adulthood.
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14
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Zheng X, Cui Y, Xue Y, Shi L, Guo Y, Dong F, Zhang C. Adverse childhood experiences in depression and the mediating role of multimorbidity in mid-late life: A nationwide longitudinal study. J Affect Disord 2022; 301:217-224. [PMID: 35031336 DOI: 10.1016/j.jad.2022.01.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/07/2021] [Accepted: 01/10/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUNDS Adverse childhood experiences are co-occurring factors of multimorbidity and depression in mid-late life, but the combined effect of ACEs and multimorbidity on depression over life has not been fully studied. METHODS We used data from the China Health and Retirement Longitudinal Study which includes 4,440 middle-aged and older adults. Different types of ACEs experienced up to the age of 17 were assessed based on self-reports. We used parallel process Latent Growth Curve modelling to evaluate the longitudinal mediation role of ACEs, multimorbidity and depression. RESULTS People who had more ACEs were found to have a higher level of multimorbidity (intercept: 0.057, 95% CI: 0.031 to 0.079) and depression (intercept: 0.047, 95% CI: 0.013 to 0.076) at the baseline and a faster increase in multimorbidity (slope: 0.107, 95%CI: 0.078 to 0.136) and depression (slope: 0.074, 95%CI: 0.035 to 0.153). The mediation analysis indicated that there was a positive indirect association of ACEs via the multimorbidity intercept with the intercept of depression (0.028, 95%CI: 0.012 to 0.043), and a small negative association with the slope of depression (-0.002, 95%CI: -0.003 to -0.001). We also found a positive indirect association of ACEs via the multimorbidity slope with the intercept (0.035, 95%CI: 0.021 to 0.049) and slope (0.008, 95%CI: 0.004 to 0.011) of depression. CONCLUSIONS ACEs were related to higher depression partly via elevated multimorbidity. Public health services and behavioural interventions to prevent and reduce the occurrence of ACEs might help to lower the risk of multimorbidity and depression in later life.
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Affiliation(s)
- Xiao Zheng
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China; School of Health Management, Southern Medical University, Guangzhou, China
| | - Yuehua Cui
- Department of Statistics & Probability, Michigan State University, China
| | - Yaqing Xue
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China; School of Health Management, Southern Medical University, Guangzhou, China
| | - Lei Shi
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Yi Guo
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China; Department of Health Management, Nafang Hospital, Guangzhou, China
| | - Fang Dong
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Chichen Zhang
- School of Health Management, Southern Medical University, Guangzhou, China; Department of Health Management, Nafang Hospital, Guangzhou, China; Institute of Health Management, Southern Medical University, Guangzhou, China.
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15
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Schramm S, Møller SP, Tolstrup JS, Laursen B. Effects of individual and parental educational levels on multimorbidity classes: a register-based longitudinal study in a Danish population. BMJ Open 2022; 12:e053274. [PMID: 35197340 PMCID: PMC8867340 DOI: 10.1136/bmjopen-2021-053274] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES To assess the effects of individual educational level in adulthood and parental educational level during childhood, as well as combinations of individual and parental educational levels, on multimorbidity classes. DESIGN AND SETTING In this longitudinal study, we used data from a random sample of the Danish population aged 32-56 years without multimorbidity in 2010 (n=102 818). The study population was followed until 2018. Information on individual and parental educational levels and chronic conditions was obtained from national registers. Multinomial logistic regression analyses were adjusted for sex, age and ethnicity. OUTCOME MEASURE Seven multimorbidity classes were identified using latent class analysis based on 47 chronic conditions. Persons deceased during follow-up comprised a separate class. RESULTS We found an independent effect of individual educational level on five multimorbidity groups and death, most pronounced for the multimorbidity group 'Many conditions' (OR=1.89, 95% CI 1.58 to 2.26 for medium and OR=3.22, 95% CI 2.68 to 3.87 for short compared with long educational level) and of parental education on four groups and death, most pronounced for the multimorbidity group 'Many conditions' (OR=1.36, 95% CI 1.07 to 1.73 for medium and OR=1.48, 95% CI 1.15 to 1.89 for short compared with long educational level). Odds of belonging to four multimorbidity classes increased with lower combination of individual and parental educational levels, most pronounced for the multimorbidity group 'Many conditions'. CONCLUSION As both individual and parental educational levels contribute to the risk of multimorbidity, it is important to address inequality throughout the life course to mitigate multimorbidity. Future studies could adopt a life course approach to investigate the mediating role of behavioural, clinical, environmental and other social factors.
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Affiliation(s)
- Stine Schramm
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Sanne Pagh Møller
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | | | - Bjarne Laursen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
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16
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Henchoz Y, Blanco JM, Fustinoni S, Nanchen D, Büla C, Seematter-Bagnoud L, von Gunten A, Santos-Eggimann B. Cohort Profile: The Lausanne cohort 65+ (Lc65+). Int J Epidemiol 2021; 51:e156-e166. [PMID: 34849932 PMCID: PMC9365621 DOI: 10.1093/ije/dyab245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/16/2021] [Indexed: 11/12/2022] Open
Affiliation(s)
- Yves Henchoz
- Centre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland
| | - Juan Manuel Blanco
- Centre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland
| | - Sarah Fustinoni
- Centre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland
| | - David Nanchen
- Centre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland
| | - Christophe Büla
- Service of Geriatric Medicine and Geriatric Rehabilitation, Department of Medicine, University of Lausanne Hospital Centre, Lausanne, Switzerland
| | - Laurence Seematter-Bagnoud
- Centre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland.,Service of Geriatric Medicine and Geriatric Rehabilitation, Department of Medicine, University of Lausanne Hospital Centre, Lausanne, Switzerland
| | - Armin von Gunten
- Service of Old-age Psychiatry, Department of Psychiatry, University of Lausanne Hospital Centre, Lausanne, Switzerland
| | - Brigitte Santos-Eggimann
- Centre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland
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17
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Hughes K, Ford K, Bellis MA, Glendinning F, Harrison E, Passmore J. Health and financial costs of adverse childhood experiences in 28 European countries: a systematic review and meta-analysis. Lancet Public Health 2021; 6:e848-e857. [PMID: 34756168 PMCID: PMC8573710 DOI: 10.1016/s2468-2667(21)00232-2] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 09/16/2021] [Accepted: 09/20/2021] [Indexed: 01/26/2023]
Abstract
BACKGROUND Adverse childhood experiences (ACEs) are associated with increased health risks across the life course. We aimed to estimate the annual health and financial burden of ACEs for 28 European countries. METHODS In this systematic review and meta-analysis, we searched MEDLINE, CINAHL, PsycINFO, Applied Social Sciences Index and Abstracts, Criminal Justice Databases, and Education Resources Information Center for quantitative studies (published Jan 1, 1990, to Sept 8, 2020) that reported prevalence of ACEs and risks of health outcomes associated with ACEs. Pooled relative risks were calculated for associations between ACEs and harmful alcohol use, smoking, illicit drug use, high body-mass index, depression, anxiety, interpersonal violence, cancer, type 2 diabetes, cardiovascular disease, stroke, and respiratory disease. Country-level ACE prevalence was calculated using available data. Country-level population attributable fractions (PAFs) due to ACEs were generated and applied to 2019 estimates of disability-adjusted life-years. Financial costs (US$ in 2019) were estimated using an adapted human capital approach. FINDINGS In most countries, interpersonal violence had the largest PAFs due to ACEs (range 14·7-53·5%), followed by harmful alcohol use (15·7-45·0%), illicit drug use (15·2-44·9%), and anxiety (13·9%-44·8%). Harmful alcohol use, smoking, and cancer had the highest ACE-attributable costs in many countries. Total ACE-attributable costs ranged from $0·1 billion (Montenegro) to $129·4 billion (Germany) and were equivalent to between 1·1% (Sweden and Turkey) and 6·0% (Ukraine) of nations' gross domestic products. INTERPRETATION Availability of ACE data varies widely between countries and country-level estimates cannot be directly compared. However, findings suggest ACEs are associated with major health and financial costs across European countries. The cost of not investing to prevent ACEs must be recognised, particularly as countries look to recover from the COVID-19 pandemic, which interrupted services and education, and potentially increased risk factors for ACEs. FUNDING WHO Regional Office for Europe.
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Affiliation(s)
- Karen Hughes
- WHO Collaborating Centre on Investment for Health and Well-being, Public Health Wales, Wrexham, UK
| | - Kat Ford
- College of Human Sciences, Bangor University, Wrexham, UK
| | - Mark A Bellis
- WHO Collaborating Centre on Investment for Health and Well-being, Public Health Wales, Wrexham, UK.
| | | | - Emma Harrison
- College of Human Sciences, Bangor University, Wrexham, UK; Psychology Department, Glyndwr University, Wrexham, UK
| | - Jonathon Passmore
- WHO Regional Office for Europe, United Nations Campus, Bonn, Germany
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18
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Calvo E, Azar A, Shura R, Staudinger UM. A New Path to Address Multimorbidity? Longitudinal Analyses of Retirement Sequences and Chronic Diseases in Old Age. J Appl Gerontol 2021; 41:952-961. [PMID: 34271835 DOI: 10.1177/07334648211031038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Chronic disease and multimorbidity are growing health challenges for aging populations, often coinciding with retirement. We examine late-life predictors of multimorbidity, focusing on the association between retirement sequences and number of chronic diseases. We modeled the number of chronic diseases as a function of six types of previously identified 10-year retirement sequences using Health and Retirement Study (HRS) data for 7,880 Americans observed between ages 60 to 61 and 70 to 71. Our results show that at baseline, the adjusted prevalence of multimorbidity was lowest in sequences characterized by late retirement from full-time work and highest in sequences characterized by early labor-force disengagement. Age increases in multimorbidity varied across retirement sequences, though overall differences in prevalence persisted at age 70 to 71. Earlier life disadvantages did not moderate these associations. Findings suggest further investigation of policies that target health limitations affecting work, promote continued beneficial employment opportunities, and ultimately leverage retirement sequences as a novel path to influence multimorbidity in old age.
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Affiliation(s)
- Esteban Calvo
- Columbia University, New York, NY, USA.,Universidad Mayor, Santiago, Chile
| | - Ariel Azar
- Universidad Mayor, Santiago, Chile.,University of Chicago, IL, USA
| | - Robin Shura
- Kent State University at Stark, North Canton, OH, USA
| | - Ursula M Staudinger
- Columbia University, New York, NY, USA.,Technical University of Dresden, Germany
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19
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Seematter-Bagnoud L, Santos-Eggimann B, Nanchen D, Blanco JM, Büla C, von Gunten A, Démonet JF, Henchoz Y. Older People's Health-Related Behaviors: Evidence from Three Cohorts of the Lc65+ Study. Behav Med 2021; 47:246-250. [PMID: 32078491 DOI: 10.1080/08964289.2019.1684234] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Baby-boomers might be more health-conscious than earlier birth cohorts, but limited evidence has been produced so far. To investigate such changes, this study compared health-related behaviors at age 65 to 70 among three successive five-year birth cohorts (pre-war: born 1934-1938; war: born 1939-1943 and baby-boom: born 1944-1948) representative of the community-dwelling population. Information about alcohol use, smoking, physical activity, and nutrition was compared across the three cohorts (n = 4,270 participants) using Chi-squared test. Alcohol and the mean nutritional intake score did not vary across cohorts, whereas the consumption of nonalcoholic drinks increased significantly from pre-war to war and to baby-boom cohort (p<.001). Other differences across cohorts were observed only in women: the proportion of women who never or rarely engaged in sports decreased from 52.9% in the pre-war cohort to around 43% in subsequent cohorts (p<.001), while the proportion of women who had never smoked was higher in the pre-war cohort (56.1%) than in the war and the baby-boom cohorts (49.8% and 46.8%, respectively, p<.001). Overall, these results show some positive changes in older persons' health behaviors over time. Nevertheless, considerable room remains for improving lifestyles through public health interventions.
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Affiliation(s)
- Laurence Seematter-Bagnoud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne.,Service of Geriatric Medicine and Geriatric Rehabilitation, University of Lausanne Hospital Centre
| | | | - David Nanchen
- Center for Primary Care and Public Health (Unisanté), University of Lausanne
| | - Juan-Manuel Blanco
- Center for Primary Care and Public Health (Unisanté), University of Lausanne
| | - Christophe Büla
- Service of Geriatric Medicine and Geriatric Rehabilitation, University of Lausanne Hospital Centre
| | - Armin von Gunten
- Service of Old-Age Psychiatry, University of Lausanne Hospital Centre
| | | | - Yves Henchoz
- Center for Primary Care and Public Health (Unisanté), University of Lausanne
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20
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Ingram E, Ledden S, Beardon S, Gomes M, Hogarth S, McDonald H, Osborn DP, Sheringham J. Household and area-level social determinants of multimorbidity: a systematic review. J Epidemiol Community Health 2021; 75:232-241. [PMID: 33158940 PMCID: PMC7892392 DOI: 10.1136/jech-2020-214691] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 09/16/2020] [Accepted: 10/14/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND No clear synthesis of evidence examining household and area-level social determinants of multimorbidity exists. This study aimed to systematically review the existing literature on associations between household and area-level social determinants of health (SDoH) and multimorbidity prevalence or incidence in the general population. METHODS Six databases (MedLine, EMBASE, PsychINFO, Web of Science, CINAHL Plus and Scopus) were searched. The search was limited to peer-reviewed studies conducted in high-income countries and published in English between 2010 and 2019. A second reviewer screened all titles with abstracts and a subset of full texts. Study quality was assessed and protocol pre-registered (CRD42019135281). RESULTS 41 studies spanning North America, Europe and Australasia were included. Household income and area-level deprivation were the most explored with fairly consistent findings. The odds of multimorbidity were up to 4.4 times higher for participants with the lowest level of income compared with the highest level. Those living in the most deprived areas had the highest prevalence or incidence of multimorbidity (pooled OR 1.42, 95% CI 1.41 to 1.42). Associations between deprivation and multimorbidity differed by age and multimorbidity type. Findings from the few studies investigating household tenure, household composition and area-level rurality were mixed and contradictory; homeownership and rurality were associated with increased and decreased multimorbidity, while living alone was found to be associated with a higher risk of multimorbidity and not associated. CONCLUSION Improving our understanding of broader social determinants of multimorbidity-particularly at the household level-could help inform strategies to tackle multimorbidity.
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Affiliation(s)
- Elizabeth Ingram
- Department of Applied Health Research, University College London, London, UK
| | - Sarah Ledden
- Division of Psychiatry, University College London, London, UK
| | - Sarah Beardon
- Department of Applied Health Research, University College London, London, UK
| | - Manuel Gomes
- Department of Applied Health Research, University College London, London, UK
| | - Sue Hogarth
- London Boroughs of Camden and Islington, London, UK
| | - Helen McDonald
- London School of Hygiene and Tropical Medicine, London, UK
| | - David P Osborn
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Jessica Sheringham
- Department of Applied Health Research, University College London, London, UK
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21
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Al-Saadoon M, Al-Adawi M, Al-Adawi S. Socio-Cultural Constraints in Protecting Child Rights in a Society in Transition: A Review and Synthesis from Oman. CHILD INDICATORS RESEARCH 2021; 14:239-267. [PMID: 32837628 PMCID: PMC7412292 DOI: 10.1007/s12187-020-09759-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/21/2020] [Indexed: 05/18/2023]
Abstract
In line with international best practice, the Arabian Gulf countries have ratified the Convention on the Right of the Child (CRC), which has some clauses on child abuse and neglect. The present discourse, made from within an Arabian Gulf society, specifically Oman, reviews the socio-cultural differences of the region and explores the potential regional challenges for effectively implementing the CRC mandated child protection legislation. The international best practices evolved for individualistic, "guilt-based" societies, which may need to be modified to suit the "shame-based" collective societies in the Arabian Gulf where the individual autonomy is overridden by that of the family and society. This may mean that the entire spectrum of child abuse may need to be studied in-depth, starting from what constitutes child abuse and neglect, the methods adopted for identifying cases, setting preventive measures in place, applying penal and corrective action on the perpetrators, and helping the victims recover. It is posited that while modifying the laws may be straightforward, implementation of certain clauses may initially come into conflict with deeply engrained socio-cultural conventions on these societies which have different parenting styles and child-rearing practices. The country in focus is Oman. Pointing out the sparsity of research on the topic in the region, the study suggests additional research to understand how to reconcile these sociocultural constraints with the international best practices of protecting child rights.
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Affiliation(s)
- Muna Al-Saadoon
- Department of Child Health, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman
| | - Manal Al-Adawi
- Department of Behavioural Science & Psychiatry, College of Medicine and Health Sciences, Sultan Qaboos University, P.O. Box 35, Al-Khoudh, 123 Muscat, Oman
| | - Samir Al-Adawi
- Department of Behavioural Science & Psychiatry, College of Medicine and Health Sciences, Sultan Qaboos University, P.O. Box 35, Al-Khoudh, 123 Muscat, Oman
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Yang L, Hu Y, Silventoinen K, Martikainen P. Childhood adversity and trajectories of multimorbidity in mid-late life: China health and longitudinal retirement study. J Epidemiol Community Health 2020; 75:jech-2020-214633. [PMID: 33293288 DOI: 10.1136/jech-2020-214633] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 10/28/2020] [Accepted: 11/23/2020] [Indexed: 11/04/2022]
Abstract
BACKGROUND The association between childhood adversity and an individual's health in later life has been extensively studied in Western societies; however, little is known about this association for the development of multimorbidity in China. METHODS Three waves (2011-2012, 2013 and 2015) of the China Health and Retirement Longitudinal Study were used for adults aged 45-101 years. Multimorbidity was assessed by the summed scores of self-reported physician diagnoses of 14 chronic diseases. Childhood adversity was measured by the incidence of childhood abuse and neglect, negative caregiver's characteristics and low socioeconomic status. Latent growth curve modelling was used to investigate the trajectory of multimorbidity by childhood adversity. RESULTS Parental physical abuse was associated with increased number of chronic diseases (intercept: 0.119; 95% CI: 0.033 to 0.205 for men and 0.268: 95% CI: 0.188 to 0.348 for women) and a higher rate of increase (slope: 0.013: 95% CI: 0.000 to 0.027 for men and 0.022: 95% CI: 0.008 to 0.036 for women) in multimorbidity. Adequacy of food was associated with a lower number chronic diseases at baseline (men: -0.171: 95% CI: -0.245 to -0.097; women: -0.223: 95% CI: -0.294 to -0.152) and a slower rate of change in multimorbidity (men: -0.015 per year: 95% CI: -0.027 to -0.003; women: -0.012 per year: 95% CI: -0.024 to -0.001). CONCLUSIONS The results demonstrate that childhood adversity exerts long-lasting effects on multimorbidity among older adults in China. Prevention of childhood maltreatment may delay or even avert the emergence of multimorbidity in later life.
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Affiliation(s)
- Lei Yang
- School of Ethnology and Sociology, Minzu University of China, Beijing, China
| | - Yaoyue Hu
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Karri Silventoinen
- Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
| | - Pekka Martikainen
- Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- Laboratory of Population Health, Max-Planck-Institute for Demographic Research, Rostock, Germany
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23
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Triolo F, Harber-Aschan L, Belvederi Murri M, Calderón-Larrañaga A, Vetrano DL, Sjöberg L, Marengoni A, Dekhtyar S. The complex interplay between depression and multimorbidity in late life: risks and pathways. Mech Ageing Dev 2020; 192:111383. [DOI: 10.1016/j.mad.2020.111383] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 09/14/2020] [Accepted: 10/05/2020] [Indexed: 12/20/2022]
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Hanlon P, McCallum M, Jani BD, McQueenie R, Lee D, Mair FS. Association between childhood maltreatment and the prevalence and complexity of multimorbidity: A cross-sectional analysis of 157,357 UK Biobank participants. JOURNAL OF COMORBIDITY 2020; 10:2235042X10944344. [PMID: 32844098 PMCID: PMC7416137 DOI: 10.1177/2235042x10944344] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 06/08/2020] [Accepted: 06/22/2020] [Indexed: 11/16/2022]
Abstract
Background: Child maltreatment is associated with long-term conditions (LTCs) in
adulthood. Its relationship to multimorbidity (≥2 LTCs) is less clear. We
explore the relationship between child maltreatment, multimorbidity and
factors complicating management. Methods: Cross-sectional analysis of 157,357 UK Biobank participants. Experience of
four maltreatment types (physical/sexual/emotional/neglect) was identified.
We explored the relationship between type, number and frequency of
maltreatment and LTC count (0, 1, 2, 3, ≥4) using multinomial logistic
regression. Binary logistic regression assessed the relationship between
maltreatment and self-rated health, loneliness, social isolation, frailty
and widespread pain in those with multimorbidity, adjusting for
sociodemographics and lifestyle factors. Results: 52,675 participants (33%) experienced ≥1 type of maltreatment; 983 (0.6%)
experienced all four. Type, frequency and number of types of maltreatment
were associated with higher LTC count. People experiencing four types of
maltreatment were 5 times as likely to have a LTC count of ≥4 as those
experiencing none (odds ratio (OR): 5.16; 99% confidence interval (CI):
3.77-7.07). Greater number of types of maltreatment was associated with
higher prevalence of combined physical/mental health LTCs (OR: 2.99; 99% CI:
2.54–3.51 for four types of maltreatment). Compared to people who reported
no maltreatment, people experiencing all four types of maltreatment were
more likely to have poor self-rated health (OR: 3.56; 99% CI: 2.58–4.90),
loneliness (OR: 3.16; 99% CI: 2.17–4.60), social isolation (OR: 1.45; 99%
CI: 1.03–2.05), widespread pain (OR: 3.19; 99% CI: 1.87–5.44) and frailty
(OR: 3.21; 99% CI: 2.04–5.05). Conclusion: Peoplewith a history of maltreatment have higher LTC counts and potentially
more complicated management needs reinforcing calls for early
intervention.
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Affiliation(s)
- Peter Hanlon
- General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, UK
| | - Marianne McCallum
- General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, UK
| | - Bhautesh Dinesh Jani
- General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, UK
| | - Ross McQueenie
- General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, UK
| | - Duncan Lee
- School of Mathematics and Statistics, The mathematics and Statistics Building, University of Glasgow, University Place, Glasgow, UK
| | - Frances S Mair
- General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, UK
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