Evidence map›Paper›PMID 30755210›Full record

ArticleInternational journal of health geographics2019

Urban environment as an independent predictor of insulin resistance in a South Asian population.

Mohan Thanikachalam, Christina H Fuller, Kevin J Lane, Jahnavi Sunderarajan, Vijayakumar Harivanzan, Doug Brugge, Sadagopan Thanikachalam

Open access · goldAbstract read
In one paragraph

Article in International journal of health geographics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 5 institutions in 2 countries.

Mohan ThanikachalamDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA. mohan.thanikachalam@tufts.edu.
Christina H FullerDepartment of Population Health Sciences, Georgia State University School of Public Health, Atlanta, GA, USA.
Kevin J LaneDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Jahnavi SunderarajanDepartment of Biostatistics, Agada Hospital, Chennai, India.
Vijayakumar HarivanzanPURSE-HIS Study Center, Sri Ramachandra University, Chennai, India.
Doug BruggeDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA.
Sadagopan ThanikachalamPURSE-HIS Study Center, Sri Ramachandra University, Chennai, India.
Sri Ramachandra Institute of Higher Education and Research · INTufts University · USBoston University · USDr. Agarwal's Eye Hospital · INGeorgia State University · US

Funding

Community Assessment of Freeway Pollution and HealthR01ES015462 · NIEHS · TUFTS UNIVERSITY BOSTON · PI BRUGGE, DOUG · 2008 to 2012
$2.5M
NEAR Highway Pollution: From Research to ActionR01ES026980 · NIEHS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI BRUGGE, DOUG, REISNER, ELLIN · 2016 to 2020
$2.2M
NIEHS NIH HHS R01 ES015462NIEHS NIH HHS R01 ES026980
6 · The paper itself

Abstract

backgroundDeveloping countries, such as India, are experiencing rapid urbanization, which may have a major impact on the environment: including worsening air and water quality, noise and the problems of waste disposal. We used health data from an ongoing cohort study based in southern India to examine the relationship between the urban environment and homeostasis model assessment of insulin resistance (HOMA-IR).

methodsWe utilized three metrics of urbanization: distance from urban center; population density in the India Census; and satellite-based land cover. Restricted to participants without diabetes (N = 6350); we built logistic regression models adjusted for traditional risk factors to test the association between urban environment and HOMA-IR.

resultsIn adjusted models, residing within 0-20 km of the urban center was associated with an odds ratio for HOMA-IR of 1.79 (95% CI 1.39, 2.29) for females and 2.30 (95% CI 1.64, 3.22) for males compared to residing in the furthest 61-80 km distance group. Similar statistically significant results were identified using the other metrics.

conclusionsWe identified associations between urban environment and HOMA-IR in a cohort of adults. These associations were robust using various metrics of urbanization and adjustment for individual predictors. Our results are of public health concern due to the global movement of large numbers of people from rural to urban areas and the already large burden of diabetes.

Indexed as

Population SurveillanceAdultAsian PeopleCohort StudiesDiabetes MellitusFemaleForecastingHumansIndiaInsulin ResistanceMaleMiddle AgedRisk FactorsUrban PopulationDiabetesHOMA-IRIndiaInsulin resistanceUrban

Identifiers

PMID30755210
PMCPMC6373002
OpenAlexW2941211388

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.