Evidence map›Paper›PMID 36962501›Full record

ArticlePLOS global public health2022

Built environment as a risk factor for adult overweight and obesity: Evidence from a longitudinal geospatial analysis in Indonesia.

Alka Dev, Jennifer Brite, Frank W Heiland, Deborah Balk

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Alka DevThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Lebanon, New Hampshire, United States of America.ORCID https://orcid.org/0000-0003-1883-5324
Jennifer BriteYork College (Public Health), CUNY Institute for Demographic Research, City University of New York, New York, New York, United States of America.
Frank W HeilandMarxe School of Public and International Affairs, The Graduate Center of CUNY (Economics), Associate Director, CUNY Institute for Demographic Research, City University of New York, New York, United States of America.ORCID https://orcid.org/0000-0002-5938-3937
Deborah BalkMarxe School of Public and International Affairs, The Graduate Center of CUNY (Economics, Sociology), CUNY Institute for Demographic Research, City University of New York, New York, United States of America.ORCID https://orcid.org/0000-0002-9028-7898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indonesia has nearly doubled its urban population in the past three decades. In this period, the prevalence of overweight and obesity in Indonesia has also nearly doubled. We examined 1993-2014 panel data from the Indonesian Family Life Survey (IFLS) to determine the extent to which the increase in one's built environment contributed to a corresponding increase in adult overweight and obesity during this period. We estimated longitudinal regression models for body mass index (BMI) and being overweight or obese using novel matched geospatial measures of built-up land area. Living in a more built-up area was associated with greater BMI and risk of being overweight or obese. The contribution of the built environment was estimated to be small but statistically significant even after accounting for individuals' initial BMI. We discuss the findings considering the evidence on nutritional and technological transitions affecting food consumption patterns and physical activity levels in urban and rural areas.

Identifiers

PMID36962501
PMCPMC10021279

What OpenQuestion holds

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LicenceCC BY
reference markers read1
measurements read55
identifiers read15
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.