Associations of neighbourhood sociodemographic characteristics with depressive and anxiety symptoms in older age: Results from a 5-wave study over 15 years

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We examined the long-term association between objective neighbourhood sociodemographic characteristics (index of socioeconomic position (SEP), average income, percent low-income earners, average house price, percent immigrants and urban density) with depressive and anxiety symptoms, covering five 3-year waves of the Longitudinal Aging Study Amsterdam (n = 3,772). Multi-level regression models assessed each neighbourhood-level characteristic separately, adjusting for individual-level covariates. A higher percentage of immigrants and higher urban density, but not other neighbourhood characteristics, were significantly associated with depressive and anxiety symptoms over time in models adjusted for individual SEP. Results of time interaction models indicated that the associations were stable over the 15-year period.

Original languageEnglish
Article number102172
JournalHealth and Place
Volume59
Early online date15 Aug 2019
DOIs
Publication statusPublished - 1 Sep 2019

Cite this

@article{27553f4e13314f62a1f402fa1575293e,
title = "Associations of neighbourhood sociodemographic characteristics with depressive and anxiety symptoms in older age: Results from a 5-wave study over 15 years",
abstract = "We examined the long-term association between objective neighbourhood sociodemographic characteristics (index of socioeconomic position (SEP), average income, percent low-income earners, average house price, percent immigrants and urban density) with depressive and anxiety symptoms, covering five 3-year waves of the Longitudinal Aging Study Amsterdam (n = 3,772). Multi-level regression models assessed each neighbourhood-level characteristic separately, adjusting for individual-level covariates. A higher percentage of immigrants and higher urban density, but not other neighbourhood characteristics, were significantly associated with depressive and anxiety symptoms over time in models adjusted for individual SEP. Results of time interaction models indicated that the associations were stable over the 15-year period.",
author = "I Motoc and Timmermans, {E J} and D Deeg and Penninx, {B W J H} and M Huisman",
note = "Copyright {\circledC} 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.",
year = "2019",
month = "9",
day = "1",
doi = "10.1016/j.healthplace.2019.102172",
language = "English",
volume = "59",
journal = "Health and Place",
issn = "1353-8292",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Associations of neighbourhood sociodemographic characteristics with depressive and anxiety symptoms in older age

T2 - Results from a 5-wave study over 15 years

AU - Motoc, I

AU - Timmermans, E J

AU - Deeg, D

AU - Penninx, B W J H

AU - Huisman, M

N1 - Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

PY - 2019/9/1

Y1 - 2019/9/1

N2 - We examined the long-term association between objective neighbourhood sociodemographic characteristics (index of socioeconomic position (SEP), average income, percent low-income earners, average house price, percent immigrants and urban density) with depressive and anxiety symptoms, covering five 3-year waves of the Longitudinal Aging Study Amsterdam (n = 3,772). Multi-level regression models assessed each neighbourhood-level characteristic separately, adjusting for individual-level covariates. A higher percentage of immigrants and higher urban density, but not other neighbourhood characteristics, were significantly associated with depressive and anxiety symptoms over time in models adjusted for individual SEP. Results of time interaction models indicated that the associations were stable over the 15-year period.

AB - We examined the long-term association between objective neighbourhood sociodemographic characteristics (index of socioeconomic position (SEP), average income, percent low-income earners, average house price, percent immigrants and urban density) with depressive and anxiety symptoms, covering five 3-year waves of the Longitudinal Aging Study Amsterdam (n = 3,772). Multi-level regression models assessed each neighbourhood-level characteristic separately, adjusting for individual-level covariates. A higher percentage of immigrants and higher urban density, but not other neighbourhood characteristics, were significantly associated with depressive and anxiety symptoms over time in models adjusted for individual SEP. Results of time interaction models indicated that the associations were stable over the 15-year period.

UR - http://www.scopus.com/inward/record.url?scp=85070564466&partnerID=8YFLogxK

U2 - 10.1016/j.healthplace.2019.102172

DO - 10.1016/j.healthplace.2019.102172

M3 - Article

VL - 59

JO - Health and Place

JF - Health and Place

SN - 1353-8292

M1 - 102172

ER -