Social and physical neighbourhood characteristics and 10-year incidence of depression and anxiety in older adults: Results from the Longitudinal Aging Study Amsterdam

被引:8
作者
Motoc, Irina [1 ,2 ,6 ]
Hoogendijk, Emiel O. [1 ,2 ]
Timmermans, Erik J. [1 ,3 ]
Deeg, Dorly [1 ,2 ]
Penninx, Brenda W. J. H. [2 ,4 ]
Huisman, Martijn [1 ,2 ,5 ]
机构
[1] Locat Vrije Univ Amsterdam, Amsterdam UMC, Epidemiol & Data Sci, Boelelaan 1117, Amsterdam, Netherlands
[2] Amsterdam Publ Hlth, Aging & Later Life & Mental Hlth Programs, Amsterdam, Netherlands
[3] Univ Utrecht, Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[4] Locat Vrije Univ Amsterdam, Dept Psychiat, Amsterdam UMC, Boelelaan 1117, Amsterdam, Netherlands
[5] Vrije Univ Amsterdam, Dept Sociol, Amsterdam, Netherlands
[6] Locat VUmc, Amsterdam UMC, Epidemiol & Data Sci Dept, Boelelaan 1117, NL-1081 HV Amsterdam, Netherlands
基金
欧盟地平线“2020”;
关键词
Depression; Anxiety; Incidence; Neighbourhoods; Environmental; Older adults; URBAN-RURAL DIFFERENCES; MENTAL-HEALTH; HOSPITAL ANXIETY; AIR-POLLUTION; LIFE; SYMPTOMS; COOCCURRENCE; ASSOCIATION; PEOPLE; PLACE;
D O I
10.1016/j.socscimed.2023.115963
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: A growing literature suggests that neighbourhood characteristics are associated with mental health outcomes, but the evidence in older adults is inconsistent. We investigated the association of neighbourhood characteristics, pertaining to demographic, socio-economic, social and physical environment domains, with the subsequent 10-year incidence of depression and anxiety, in Dutch older adults.Methods: In the Longitudinal Aging Study Amsterdam depressive and anxiety symptoms were assessed four times between 2005/2006 and 2015/2016, using the Center for Epidemiological Studies Depression Scale (n = 1365) and the Anxiety subscale of the Hospital Anxiety and Depression Scale (n = 1420). Neighbourhood-level data on urban density, percent population over 65 years of age, percent immigrants, average house price, average in-come, percent low-income earners, social security beneficiaries, social cohesion, safety, proximity to retail fa-cilities, housing quality, percent green space, percent water coverage, air pollution (particulate matter (PM2.5)), and traffic noise, were obtained for study baseline years 2005/2006. Cox proportional hazard regression models, clustered within neighbourhood, were used to estimate the association between each neighbourhood-level characteristic and the incidence of depression and anxiety.Results: The incidence of depression and anxiety was 19.9 and 13.2 per 1000 person-years, respectively. Neighbourhood characteristics were not associated with the incidence of depression. However, various neigh-bourhood characteristics were associated with an increased incidence of anxiety, including: higher urban density level, higher percent immigrants, greater proximity to retail facilities, lower housing quality score, lower safety score, higher PM2.5 levels and less green space.Conclusion: Our results indicate that several neighbourhood characteristics are associated with anxiety but not with depression incidence in older age. Several of these characteristics have the potential to be modifiable and thus could serve as a target for interventions at the neighbourhood-level in improving anxiety, provided that future studies replicate our findings and provide further evidence for a causal effect.
引用
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页数:10
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