DSpace Repository

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

Show simple item record

dc.contributor.author Liao, Yi-An
dc.contributor.author Garcia-Mondragon, Liliana
dc.contributor.author Konac, Deniz
dc.contributor.author Liu, Xiaoxuan
dc.contributor.author Ing, Alex
dc.contributor.author Goldblatt, Ran
dc.contributor.author Yu, Le
dc.contributor.author Barker, Edward D.
dc.date.accessioned 2022-12-20T12:07:56Z
dc.date.available 2022-12-20T12:07:56Z
dc.date.issued 2022-02
dc.identifier.citation Liao, Y.-A., Garcia-Mondragon, L., Konac, D., Liu, X., Ing, A., Goldblatt, R., Yu, L., & Barker, E. D. (2022). Nighttime lights, urban features, household poverty, depression, and obesity. Current Psychology. https://doi.org/10.1007/s12144-022-02754-3 tr_TR
dc.identifier.issn 1046-1310
dc.identifier.issn 1936-4733
dc.identifier.uri http://openacccess.atu.edu.tr:8080/xmlui/handle/123456789/4041
dc.identifier.uri http://dx.doi.org/10.1007/s12144-022-02754-3
dc.description WOS indeksli yayınlar koleksiyonu. / WOS indexed publications collection. tr_TR
dc.description.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-training_mean = 0.2624, P-training_mean < .001; R-test_mean = 0.2619, P-test_mean < .001). We also found that the interaction between environmental risk factors and mental, physical problems (overall network connectivity) was higher in the high NLE network than in the low NLE network (t = 0.7896, P < .001). In areas with high NLE, economic deprivation, household poverty and waist circumference acted as bridge factors between the key urban features and mental health symptoms. In conclusion, NLE, urban features, household poverty and mental and physical symptoms are all interrelated. In areas with high NLE, urban features associate with mental and physical health problems at a greater magnitude than in areas with low NLE. tr_TR
dc.language.iso en tr_TR
dc.subject Nighttime Light Emission tr_TR
dc.subject Urban features tr_TR
dc.subject Depression tr_TR
dc.subject Obesity tr_TR
dc.subject Network analysis tr_TR
dc.title Nighttime lights, urban features, household poverty, depression, and obesity tr_TR
dc.type Article tr_TR

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search


My Account