Evidence map›Paper›PMID 37155139›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2023

Quantification of Urbanization Using Night-Time Light Intensity in Relation to Women's Overnutrition in Bangladesh.

Jahidur Rahman Khan, Md Mazharul Islam, Abu Saleh Mosa Faisal, Humayera Islam, K Shuvo Bakar

Open access · greenAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

5 authors at 5 institutions in 3 countries.

Jahidur Rahman KhanDiscipline of Paediatrics, School of Clinical Medicine, University of New South Wales, Randwick, Sydney, Australia. jkhan@isrt.ac.bd.
Md Mazharul IslamDepartment of Mathematics and Statistics, University of Nevada, Reno, NV, USA.
Abu Saleh Mosa FaisalUniversity of Kentucky Markey Cancer Center, KY, Lexington, USA.
Humayera IslamInstitute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
K Shuvo BakarSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Camperdown, Sydney, Australia.
University of Kentucky · USUniversity of Missouri · USUniversity of Nevada, Reno · USUniversity of Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urbanization is accelerating in developing countries, which are simultaneously experiencing a rise in the prevalence of overnutrition (i.e., overweight and obesity), specifically among women. Since urbanization is a dynamic process, a continuous measure may better represent it when examining its association with overnutrition. However, most previous research has used a rural-urban dichotomy-based urbanization measure. This study utilized satellite-based night-time light intensity (NTLI) data to measure urbanization and evaluate its association with body weight in reproductive-aged (15-49) women in Bangladesh. Multilevel models estimated the association between residential area NTLI and women's body mass index (BMI) or overnutrition status using data from the latest Bangladesh Demographic and Health Survey (BDHS 2017-18). Higher area-level NTLI was associated with a higher BMI and increased odds of being overweight and obese in women. Living in areas with moderate NTL intensities was not linked with women's BMI measures, whereas living in areas with high NTL intensities was associated with a higher BMI or higher odds of being overweight and obese. The predictive nature of NTLI suggests that it could be used to study the relationship between urbanization and overnutrition prevalence in Bangladesh, though more longitudinal research is needed. This research emphasizes the necessity for preventive efforts to offset the expected public health implications of urbanization.

Indexed as

OvernutritionOverweightAdultBangladeshBody Mass IndexFemaleHumansObesityPrevalenceSocioeconomic FactorsUrbanizationNight light intensityObesityUrbanizationWomen

Identifiers

PMID37155139
PMCPMC10322804
OpenAlexW4375955413

What OpenQuestion holds

Textmetadata
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.