Spatio-temporal analysis of the risk of depression at district-level and association with greenness based on the Heinz Nixdorf Recall Study

被引：2

作者：

Djeudeu, D. ^{[1
,3
]}

Engel, M. ^{[2
]}

Joeckel, K-H ^{[2
]}

Moebus, S. ^{[3
]}

Ickstadt, K. ^{[1
]}

机构：

[1] TU Dortmund Univ, Fac Stat, D-44221 Dortmund, Germany

[2] Univ Duisburg Essen, Univ Hosp Essen, Inst Med Informat Biometry & Epidemiol IMIBE, Hufelandstr 55, D-45122 Essen, Germany

[3] Univ Duisburg Essen, Univ Hosp Essen, Ctr Urban Epidemiol Cue, Inst Med Informat Biometry & Epidemiol IMIBE, Hufelandstr 55, D-45122 Essen, Germany

来源：

SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY | 2020年 / 33卷

关键词：

Spatio-temporal autocorrelation; Depression; Greenness; Conditional autoregressive; HEALTH; SPACE; MODEL; AGGREGATION; CONTEXT;

D O I：

10.1016/j.sste.2020.100340

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

In urban health studies where spatial and temporal changes are of importance, spatio-temporal variations are usually neglected. For the Heinz Nixdorf Recall Study, we investigate spatio-temporal variation in analyses of effects of urban greenness on depression by including spatio-temporal random effect terms in a Poisson model on district level. Our results show negative associations between greenness and depression. The findings suggest strong temporal autocorrelation and weak spatial effects. Even if the weak spatial effects are suggestive of neglecting them, as in our case, spatio-temporal random effects should be taken into account to provide reliable inference in urban health studies. (C) 2020 Elsevier Ltd. All rights reserved.

引用

页数：7

共 35 条

[1]

[Anonymous], 2000, STAT MODELS EPIDEMIO

[2] Exposure to Neighborhood Green Space and Mental Health: Evidence from the Survey of the Health of Wisconsin [J].