Neighbourhood characteristics and prevalence and severity of depression:pooled analysis of eight Dutch cohort studies

Verfasser:	Generaal, Ellen Hoogendijk, Emiel O. Stam, Mariska Henke, Celina E. Rutters, Femke Oosterman, Mirjam Huisman, Martijn Kramer, Sophia E. Elders, Petra J.M. Timmermans, Erik J. Lakerveld, Jeroen Koomen, Eric Ten Have, Margreet De Graaf, Ron Snijder, Marieke B. Stronks, Karien Willemsen, Gonneke Boomsma, Dorret I. Smit, Johannes H. Penninx, Brenda W.J.H.
Dokumenttyp:	Artikel
Erscheinungsdatum:	2019
Reihe/Periodikum:	Generaal , E , Hoogendijk , E O , Stam , M , Henke , C E , Rutters , F , Oosterman , M , Huisman , M , Kramer , S E , Elders , P J M , Timmermans , E J , Lakerveld , J , Koomen , E , Ten Have , M , De Graaf , R , Snijder , M B , Stronks , K , Willemsen , G , Boomsma , D I , Smit , J H & Penninx , B W J H 2019 , ' Neighbourhood characteristics and prevalence and severity of depression : pooled analysis of eight Dutch cohort studies ' , The British journal of psychiatry : the journal of mental science , vol. 215 , no. 2 , pp. 468-475 . https://doi.org/10.1192/bjp.2019.100
Schlagwörter:	cohort studies / environment / geographic information systems / Mental health / neighbourhood / /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) / /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities / name=SDG 11 - Sustainable Cities and Communities
Sprache:	Englisch
Permalink:	https://search.fid-benelux.de/Record/base-26843239
Datenquelle:	BASE; Originalkatalog
Powered By:	BASE
Link(s) :	https://research.vu.nl/en/publications/115aea19-7d54-488f-bd46-e37096c4fe6d

BACKGROUND: Studies on neighbourhood characteristics and depression show equivocal results.AimsThis large-scale pooled analysis examines whether urbanisation, socioeconomic, physical and social neighbourhood characteristics are associated with the prevalence and severity of depression. METHOD: Cross-sectional design including data are from eight Dutch cohort studies (n = 32 487). Prevalence of depression, either DSM-IV diagnosis of depressive disorder or scoring for moderately severe depression on symptom scales, and continuous depression severity scores were analysed. Neighbourhood characteristics were linked using postal codes and included (a) urbanisation grade, (b) socioeconomic characteristics: socioeconomic status, home value, social security beneficiaries and non-Dutch ancestry, (c) physical characteristics: air pollution, traffic noise and availability of green space and water, and (d) social characteristics: social cohesion and safety. Multilevel regression analyses were adjusted for the individual's age, gender, educational level and income. Cohort-specific estimates were pooled using random-effects analysis. RESULTS: The pooled analysis showed that higher urbanisation grade (odds ratio (OR) = 1.05, 95% CI 1.01-1.10), lower socioeconomic status (OR = 0.90, 95% CI 0.87-0.95), higher number of social security beneficiaries (OR = 1.12, 95% CI 1.06-1.19), higher percentage of non-Dutch residents (OR = 1.08, 95% CI 1.02-1.14), higher levels of air pollution (OR = 1.07, 95% CI 1.01-1.12), less green space (OR = 0.94, 95% CI 0.88-0.99) and less social safety (OR = 0.92, 95% CI 0.88-0.97) were associated with higher prevalence of depression. All four socioeconomic neighbourhood characteristics and social safety were also consistently associated with continuous depression severity scores. CONCLUSIONS: This large-scale pooled analysis across eight Dutch cohort studies shows that urbanisation and various socioeconomic, physical and social neighbourhood characteristics are associated with depression, indicating ...