居住社区特征的改变与79种常见健康状况的风险:一项前瞻性队列研究。
Modifications to residential neighbourhood characteristics and risk of 79 common health conditions: a prospective cohort study.
作者信息
Kivimäki Mika, Batty G David, Pentti Jaana, Nyberg Solja T, Lindbohm Joni V, Ervasti Jenni, Gonzales-Inca Carlos, Suominen Sakari B, Stenholm Sari, Sipilä Pyry N, Dadvand Payam, Vahtera Jussi
机构信息
Department of Epidemiology and Public Health, University College London, London, UK; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Finnish Institute of Occupational Health, Helsinki, Finland.
Department of Epidemiology and Public Health, University College London, London, UK.
出版信息
Lancet Public Health. 2021 Jun;6(6):e396-e407. doi: 10.1016/S2468-2667(21)00066-9.
BACKGROUND
Observational studies have identified a link between unfavourable neighbourhood characteristics and increased risk of morbidity, but it is unclear whether changes in neighbourhoods affect future disease risk. We used a data-driven approach to assess the impact of neighbourhood modification on 79 health outcomes.
METHODS
In this prospective cohort study, we used pooled, individual-level data from two Finnish cohort studies: the Health and Social Support study and the Finnish Public Sector study. Neighbourhood characteristics (mean educational level, median income, and employment rate of residents, and neighbourhood green space) and individual lifestyle factors of community-dwelling individuals were assessed at baseline (at different waves starting between 1998 and 2013). We repeated assessment of neighbourhood characteristics and lifestyle factors approximately 5 years from each baseline assessment, after which follow-up began for health conditions diagnosed according to the WHO International Classification of Diseases for 79 common health conditions using linkage to electronic health records. We used Cox proportional hazard regression models to compute adjusted hazard ratios (HRs) of incident disease associated with neighbourhood characteristics and changes in neighbourhood characteristics over time and logistic regression analysis to compute adjusted odds of association between changes in neighbourhood characteristics and individual lifestyle factors.
FINDINGS
114 786 individuals (87 012 [75·8%] women; mean age 44·4 years [SD 11·1]) had complete data and were included in this cohort study. During 1·17 million person-years at risk, we recorded 164 368 new-onset health conditions and 3438 deaths. Favourable changes in neighbourhood characteristics were associated with reduced risk of all-cause mortality and incidence of 19 specific health conditions. Unfavourable changes were correspondingly associated with increased risk of mortality and 27 specific health conditions. Among participants who did not move residence during the observation period, relative to individuals who continually lived in disadvantaged neighbourhoods, those who experienced favourable modifications in neighbourhood characteristics had a lower risk of future diabetes (HR 0·84, 95% CI 0·75-0·93), stroke (0·49, 0·29-0·83), skin disease (0·72, 0·53-0·97), and osteoarthritis (0·87, 0·77-0·99). Living in a neighbourhood with improving characteristics was also associated with improvements in individual-level health-related lifestyle factors. Among participants who lived in advantaged residential environments at baseline, unfavourable changes in neighbourhood characteristics were associated with an increased risk of diabetes, stroke, skin disease, and osteoarthritis compared with individuals who lived in advantaged neighbourhoods throughout the study period.
INTERPRETATION
Favourable modifications to residential neighbourhoods showed robust, longitudinal associations with a range of improvements in health outcomes, including improved health behaviours and reduced risk of cardiometabolic, infectious, and orthopaedic conditions.
FUNDING
UK Medical Research Council, US National Institute on Aging, NordForsk, and Academy of Finland.
背景
观察性研究已确定不利的社区特征与发病风险增加之间存在联系,但尚不清楚社区变化是否会影响未来的疾病风险。我们采用数据驱动的方法来评估社区改造对79种健康结局的影响。
方法
在这项前瞻性队列研究中,我们使用了来自两项芬兰队列研究的汇总个体水平数据:健康与社会支持研究以及芬兰公共部门研究。在基线时(1998年至2013年期间开始的不同时间点)评估社区特征(居民的平均教育水平、收入中位数、就业率以及社区绿地)和社区居住个体的个人生活方式因素。在每次基线评估约5年后,我们重复评估社区特征和生活方式因素,之后开始使用与电子健康记录的关联,对根据世界卫生组织国际疾病分类诊断的79种常见健康状况进行健康状况随访。我们使用Cox比例风险回归模型计算与社区特征以及社区特征随时间变化相关的新发疾病调整风险比(HR),并使用逻辑回归分析计算社区特征变化与个人生活方式因素之间关联的调整比值比。
结果
114786名个体(87012名[75.8%]女性;平均年龄44.4岁[标准差11.1])拥有完整数据并被纳入该队列研究。在117万人年的风险期内,我们记录了164368例新发健康状况和3438例死亡。社区特征的有利变化与全因死亡率降低以及19种特定健康状况的发病率降低相关。不利变化相应地与死亡率增加以及27种特定健康状况相关。在观察期内未搬家的参与者中,相对于持续生活在弱势社区的个体,那些社区特征经历有利变化的个体未来患糖尿病(HR 0.84,95%CI 0.75 - 0.93)、中风(0.49,0.29 - 0.83)、皮肤病(0.72,0.53 - 0.97)和骨关节炎(0.87,0.77 - 0.99)的风险较低。生活在特征不断改善的社区也与个人层面与健康相关的生活方式因素的改善相关。在基线时生活在优势居住环境中的参与者中,与在整个研究期间生活在优势社区的个体相比,社区特征的不利变化与糖尿病、中风、皮肤病和骨关节炎的风险增加相关。
解读
居住社区的有利改造与一系列健康结局的改善呈现出稳健的纵向关联,包括健康行为的改善以及心血管代谢、感染和骨科疾病风险的降低。
资金来源
英国医学研究理事会、美国国立衰老研究所、北欧研究理事会以及芬兰科学院。