Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health, Aging & Later Life and Mental Health Programs, Amsterdam, the Netherlands.
Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health, Aging & Later Life and Mental Health Programs, Amsterdam, the Netherlands.
Soc Sci Med. 2023 Jun;327:115963. doi: 10.1016/j.socscimed.2023.115963. Epub 2023 May 12.
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.
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 income, percent low-income earners, social security beneficiaries, social cohesion, safety, proximity to retail facilities, 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.
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 neighbourhood 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.
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.
越来越多的文献表明,邻里特征与心理健康结果有关,但老年人的证据不一致。我们调查了与人口统计学、社会经济、社会和物理环境领域相关的邻里特征与荷兰老年人随后 10 年抑郁和焦虑发生率之间的关系。
在阿姆斯特丹纵向老龄化研究中,使用流行病学研究抑郁量表(n=1365)和医院焦虑和抑郁量表的焦虑分量表(n=1420),在 2005/2006 年至 2015/2016 年期间四次评估抑郁和焦虑症状。获得了研究基线年份 2005/2006 年的城市密度、65 岁以上人口比例、移民比例、平均房价、平均收入、低收入者比例、社会保障受益人、社会凝聚力、安全性、与零售设施的接近度、住房质量、绿地比例、水域比例、空气污染(细颗粒物(PM2.5))和交通噪音等邻里水平数据。使用 Cox 比例风险回归模型,在邻里内进行聚类,估计每个邻里水平特征与抑郁和焦虑发生率之间的关系。
抑郁和焦虑的发生率分别为每 1000 人年 19.9 和 13.2。邻里特征与抑郁的发生率无关。然而,各种邻里特征与焦虑发生率增加有关,包括:更高的城市密度水平、更高的移民比例、更接近零售设施、更低的住房质量评分、更低的安全性评分、更高的 PM2.5 水平和更少的绿地。
我们的结果表明,一些邻里特征与老年人的焦虑有关,但与抑郁发生率无关。这些特征中有几个具有潜在的可修改性,因此可以作为改善焦虑的邻里层面干预的目标,前提是未来的研究复制我们的发现并提供因果关系的进一步证据。