ArticleBMJ open2019
Dy
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2019Pooled it
- Article
- How does the macroenvironment influence brain and behaviour-a review of current status and future perspectives.Molecular psychiatry · 2024Review
- Measuring environmental exposures in people's activity space: The need to account for travel modes and exposure decay.Journal of exposure science & environmental epidemiology · 2023Article
- How does the macroenvironment influence brain and behaviour - a review of current status and future perspectives.medRxiv : the preprint server for health sciences · 2023Article
- Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories.International journal of health geographics · 2023Article
- Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review.JMIR mental health · 2021Article
- Does greenery experienced indoors and outdoors provide an escape and support mental health during the COVID-19 quarantine?Environmental research · 2021Article
- Research on the Difference Between Recreational Walking and Transport Walking Among the Elderly in Mega Cities With Different Density Zones: The Case of Guangzhou City.Frontiers in public health · 2021Article
- Virtual Reality Representations of Nature to Improve Well-Being amongst Older Adults: a Rapid Review.Journal of technology in behavioral science · 2021Review
- Article
- Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach.Social psychiatry and psychiatric epidemiology · 2020Article
- How urban densification shapes walking behaviours in older community dwellers: a cross-sectional analysis of potential pathways of influence.International journal of health geographics · 2020Article
- Can Exposure to Certain Urban Green Spaces Trigger Frontal Alpha Asymmetry in the Brain?-Preliminary Findings from a Passive Task EEG Study.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 ANALYSIS: The 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 DISSEMINATION: Ethical 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.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.