Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study

IntroductionEnvironmental exposures are intertwined with mental health outcomes. People are exposed to the environments in which they currently live, and to a multitude of environments along their daily movements and through their residential relocations. However, most research assumes that people a...

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Main Authors: Herbert Tato Nyirenda, David Mulenga, Moono Silitongo, Herbert BC Nyirenda, Tambulani Nyirenda
Format: Article
Language:English
Published: BMJ Publishing Group 2019-08-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/9/8/e030075.full
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spelling doaj-7e38ea71b14b489b94c85fd76d046ef12021-03-22T09:01:02ZengBMJ Publishing GroupBMJ Open2044-60552019-08-019810.1136/bmjopen-2019-030075Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register studyHerbert Tato NyirendaDavid MulengaMoono SilitongoHerbert BC NyirendaTambulani NyirendaIntroductionEnvironmental exposures are intertwined with mental health outcomes. People are exposed to the environments in which they currently live, and to a multitude of environments along their daily movements and through their residential relocations. However, most research assumes that people are immobile, disregarding that such dynamic exposures also serve as stressors or buffers potentially associated with depression and suicide risk. The aim of the Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) study is to examine how dynamic environmental exposures along people’s daily movements and over their residential histories affect depression and suicide mortality in the Netherlands.Methods and analysisThe research design comprises two studies emphasising the temporality of exposures. First, a cross-sectional study is assessing how daily exposures correlate with depression. A nationally representative survey was administered to participants recruited through stratified random sampling of the population aged 18–65 years. Survey data were enriched with smartphone-based data (eg, Global Positioning System tracking, Bluetooth sensing, social media usage, communication patterns) and environmental exposures (eg, green and blue spaces, noise, air pollution). Second, a longitudinal population register study is addressing the extent to which past environmental exposures over people’s residential history affect suicide risk later in life. Statistical and machine learning-based models are being developed to quantify environment–health relations.Ethics and disseminationEthical approval (FETC17-060) was granted by the Ethics Review Board of Utrecht University, The Netherlands. Project-related findings will be disseminated at conferences and in peer-reviewed journal papers. Other project outcomes will be made available through the project’s web page, http://www.needs.sites.uu.nl.https://bmjopen.bmj.com/content/9/8/e030075.full
collection DOAJ
language English
format Article
sources DOAJ
author Herbert Tato Nyirenda
David Mulenga
Moono Silitongo
Herbert BC Nyirenda
Tambulani Nyirenda
spellingShingle Herbert Tato Nyirenda
David Mulenga
Moono Silitongo
Herbert BC Nyirenda
Tambulani Nyirenda
Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study
BMJ Open
author_facet Herbert Tato Nyirenda
David Mulenga
Moono Silitongo
Herbert BC Nyirenda
Tambulani Nyirenda
author_sort Herbert Tato Nyirenda
title Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study
title_short Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study
title_full Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study
title_fullStr Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study
title_full_unstemmed Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study
title_sort dynamic urban environmental exposures on depression and suicide (needs) in the netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2019-08-01
description IntroductionEnvironmental exposures are intertwined with mental health outcomes. People are exposed to the environments in which they currently live, and to a multitude of environments along their daily movements and through their residential relocations. However, most research assumes that people are immobile, disregarding that such dynamic exposures also serve as stressors or buffers potentially associated with depression and suicide risk. The aim of the Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) study is to examine how dynamic environmental exposures along people’s daily movements and over their residential histories affect depression and suicide mortality in the Netherlands.Methods and analysisThe research design comprises two studies emphasising the temporality of exposures. First, a cross-sectional study is assessing how daily exposures correlate with depression. A nationally representative survey was administered to participants recruited through stratified random sampling of the population aged 18–65 years. Survey data were enriched with smartphone-based data (eg, Global Positioning System tracking, Bluetooth sensing, social media usage, communication patterns) and environmental exposures (eg, green and blue spaces, noise, air pollution). Second, a longitudinal population register study is addressing the extent to which past environmental exposures over people’s residential history affect suicide risk later in life. Statistical and machine learning-based models are being developed to quantify environment–health relations.Ethics and disseminationEthical approval (FETC17-060) was granted by the Ethics Review Board of Utrecht University, The Netherlands. Project-related findings will be disseminated at conferences and in peer-reviewed journal papers. Other project outcomes will be made available through the project’s web page, http://www.needs.sites.uu.nl.
url https://bmjopen.bmj.com/content/9/8/e030075.full
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