Evidence map›Paper›PMID 35194360›Full record

ArticleCurrent psychology (New Brunswick, N.J.)2022

Nighttime lights, urban features, household poverty, depression, and obesity.

Yi-An Liao, Liliana Garcia-Mondragon, Deniz Konac, Xiaoxuan Liu, Alex Ing, Ran Goldblatt, Le Yu, Edward D Barker

Open access · hybridAbstract read
In one paragraph

Article in Current psychology (New Brunswick, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Quantification of Urbanization Using Night-Time Light Intensity in Relation to Women's Overnutrition in Bangladesh.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 7 countries.

Yi-An LiaoSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF UK.
Liliana Garcia-MondragonSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF UK.
Deniz KonacDepartment of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF UK.
Xiaoxuan LiuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, 100084 People's Republic of China.
Alex IngEuropean Molecular Biology Laboratory, Meyerhofstraße 1, Heidelberg, 69117 Germany.
Ran GoldblattNew Light Technologies Inc., Washington, DC 20005 USA.
Le YuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, 100084 People's Republic of China.
Edward D BarkerDepartment of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF UK.ORCID 0000-0002-9914-8958
King's College London · GBChinese Academy of Sciences · CNEuropean Molecular Biology Laboratory · DEMinistry of Education · IRNew Light Industries (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nighttime Light Emission (NLE) is associated with diminished mental and physical health. The present study examines how NLE and associated urban features (e.g., air pollution, low green space) impact mental and physical wellbeing. We included 200,393 UK Biobank Cohort participants with complete data. The study was carried out in two steps. In Step1, we assessed the relationship between NLE, deprivation, pollution, green space, household poverty and mental and physical symptoms. In Step2, we examined the role of NLE on environment-symptom networks. We stratified participants into high and low NLE and used gaussian graphical model to identify nodes which bridged urban features and mental and physical health problems. We then compared the global strength of these networks in high vs low NLE. We found that higher NLE associated with higher air pollution, less green space, higher economic and neighborhood deprivation, higher household poverty and higher depressed mood, higher tiredness/lethargy and obesity (R SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-022-02754-3.

Indexed as

DepressionNetwork analysisNighttime Light EmissionObesityUrban features

Identifiers

PMID35194360
PMCPMC8853344
OpenAlexW4212830077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.