Green environment and incident depression in South Africa: a geospatial analysis and mental health implications in a resource-limited setting

被引:62
|
作者
Tomita, Andrew [1 ,2 ]
Vandormael, Alain M. [1 ,2 ]
Cuadros, Diego [6 ]
Di Minin, Enrico [3 ,7 ]
Heikinheimo, Vuokko [7 ]
Tanser, Frank [2 ,4 ]
Slotow, Rob [3 ,8 ]
Burns, Jonathan K. [5 ,9 ]
机构
[1] Univ KwaZulu Natal, Coll Hlth Sci, ZA-4013 Durban, South Africa
[2] Univ KwaZulu Natal, Africa Hlth Res Inst, Durban, South Africa
[3] Univ KwaZulu Natal, Sch Life Sci, Durban, South Africa
[4] Univ KwaZulu Natal, Sch Nursing & Publ Hlth, Durban, South Africa
[5] Univ KwaZulu Natal, Dept Psychiat, Durban, South Africa
[6] Univ Cincinnati, Dept Geog, Cincinnati, OH USA
[7] Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland
[8] UCL, Dept Genet Evolut & Environm, London, England
[9] Univ Exeter, Inst Hlth Res, Exeter, Devon, England
来源
LANCET PLANETARY HEALTH | 2017年 / 1卷 / 04期
基金
芬兰科学院; 英国医学研究理事会; 美国国家卫生研究院;
关键词
MIDDLE-CLASS; NEIGHBORHOOD GREENNESS; RESIDENTIAL GREEN; SPACE; STRESS; ASSOCIATION; EXPOSURE; LAND; PERSPECTIVES; BIODIVERSITY;
D O I
10.1016/S2542-5196(17)30063-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background Unprecedented levels of habitat transformation and rapid urbanisation are changing the way individuals interrelate with the natural environment in developing countries with high economic disparities. Although the potential benefit of green environments for mental health has been recognised, population-level evidence to this effect is scarce. We investigated the effect of green living environment in potentially countering incident depression in a nationally representative survey in South Africa. Methods We used panel data from the South African National Income Dynamics Study ( SA-NIDS). Our study used SA-NIDS data from three waves: wave 1 (2008), wave 2 (2010), and wave 3 (2012). Households were sampled on the basis of a stratified two-stage cluster design. In the first stage, 400 primary sampling units were selected for inclusion. In the second stage, two clusters of 12 dwelling units each were drawn from within each primary sampling unit (or 24 dwelling units per unit). Household and individual adult questionnaires were administered to participants. The main outcome, incident depression (ie, incident cohort of 11 156 study participants without significant depression symptoms at their first entry into SA-NIDS), was assessed in the adult survey via a ten item version of the Center for Epidemiologic Studies Depression Scale; a total score of ten or higher was used as a cutoff to indicate significant depressive symptoms. Each participant was assigned a value for green living space via a satellite-derived normalised difference vegetation index (NDVI) based on the GPS coordinates of their household location. Findings Overall, we found uneven benefit of NDVI on incident depression among our study participants. Although the green living environment showed limited benefit across the study population as a whole, our final analysis based on logistic regression models showed that higher NDVI was a predictor of lower incident depression among middle-income compared with low-income participants (adjusted odds ratio [aOR] 0.98, 0.97-0.99, p<0.0001), although when this analysis was broken down by race, its positive effect was particularly evident amongst African individuals. Living in rural areas was linked to lower odds of incident depression (aOR 0.71, 0.55-0.92, p=0.011) compared with study participants residing in urban informal areas that often lack formal planning. Interpretation Our results imply the importance of green environments for mental wellbeing in sub-Saharan African settings experiencing rapid urbanisation, economic and epidemiological transition, reaffirming the need to incorporate environmental services and benefits for sustainable socioeconomic development. Copyright (C) The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:E152 / E162
页数:11
相关论文
共 41 条
  • [1] Evidence on the Association Between Cigarette Smoking and Incident Depression From the South African National Income Dynamics Study 2008-2015: Mental Health Implications for a Resource-Limited Setting
    Tomita, Andrew
    Manuel, Jennifer I.
    [J]. NICOTINE & TOBACCO RESEARCH, 2020, 22 (01) : 118 - 123
  • [2] Dispatches from Haiti: mental health training in a resource-limited setting
    Collier, Stephanie
    Valentin, Cidna
    [J]. LANCET PSYCHIATRY, 2018, 5 (04): : 297 - 298
  • [3] An analysis of referrals to a level 3 intensive care unit in a resource-limited setting in South Africa
    Jaganath, U., V
    de Vasconcellos, K.
    Skinner, D. L.
    Gopalan, P. D.
    [J]. SOUTHERN AFRICAN JOURNAL OF CRITICAL CARE, 2023, 39 (02) : 41 - 48
  • [4] Ultrastructure for the diagnosis of primary ciliary dyskinesia in South Africa, a resource-limited setting
    Birkhead, Monica
    Otido, Samuel
    Mabaso, Theodore
    Mopeli, Keketso
    Tlhapi, Dorcas
    Verwey, Charl
    Dangor, Ziyaad
    [J]. FRONTIERS IN PEDIATRICS, 2023, 11
  • [5] Subgroup Economic Analysis for Glioblastoma in a Health Resource-Limited Setting
    Wu, Bin
    Miao, Yifeng
    Bai, Yongrui
    Ye, Min
    Xu, Yuejuan
    Chen, Huafeng
    Shen, Jinfang
    Qiu, Yongming
    [J]. PLOS ONE, 2012, 7 (04):
  • [6] Autoimmune encephalitis in a resource-limited public health setting: a case series analysis
    Morillos, Matheus Bernardon
    Borelli, Wyllians Vendramini
    Noll, Giovani
    Piccini, Cristian Daniel
    Leite, Martim Bravo
    Finkelsztejn, Alessandro
    Bianchin, Marino Muxfeldt
    Castilhos, Raphael Machado
    Torres, Carolina Machado
    [J]. ARQUIVOS DE NEURO-PSIQUIATRIA, 2024, 82 (02) : 6 - 10
  • [7] Challenges in the use of the mental health information system in a resource-limited setting: lessons from Ghana
    Kpobi, Lily
    Swartz, Leslie
    Ofori-Atta, Angela L.
    [J]. BMC HEALTH SERVICES RESEARCH, 2018, 18
  • [8] Challenges in the use of the mental health information system in a resource-limited setting: lessons from Ghana
    Lily Kpobi
    Leslie Swartz
    Angela L. Ofori-Atta
    [J]. BMC Health Services Research, 18
  • [9] qSOFA as a predictor of ICU outcomes in a resource-limited setting in KwaZulu-Natal Province, South Africa
    Savarimuthu, S. M.
    Cairns, C.
    Allorto, N. L.
    Weissman, G. E.
    Kohn, R.
    Wise, R. D.
    Anesi, G. L.
    [J]. SOUTHERN AFRICAN JOURNAL OF CRITICAL CARE, 2020, 36 (02) : 92 - 95
  • [10] Needs and preferences for nutrition education of type 2 diabetic adults in a resource-limited setting in South Africa
    Muchiri, Jane W.
    Gericke, Gerda J.
    Rheeder, Paul
    [J]. HEALTH SA GESONDHEID, 2012, 17 (01):