Evidence map›Paper›PMID 28708095›Full record

ArticleInternational journal of environmental research and public health2017

Predictors of Daily Mobility of Adults in Peri-Urban South India.

Margaux Sanchez, Albert Ambros, Maëlle Salmon, Santhi Bhogadi, Robin T Wilson, Sanjay Kinra, Julian D Marshall, Cathryn Tonne

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Indoor air pollution and airway health.The Journal of allergy and clinical immunology · 2024
    Review
  5. Article
  6. Review
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  8. Article
  9. Freedom of Movement and Adolescent Sexual Violence in India.Journal of interpersonal violence · 2022
    Article
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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

8 authors.

Margaux SanchezCentre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain. margaux.sanchez@isglobal.org.
Albert AmbrosCentre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain. albert.ambros@isglobal.org.
Maëlle SalmonCentre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain. maelle.salmon@isglobal.org.
Santhi BhogadiPublic Health Foundation of India, New Delhi 110070 e, India. kammilisanthi@gmail.com.
Robin T WilsonGeography & Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK. robin@rtwilson.com.
Sanjay KinraDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK. sanjay.kinra@lshtm.ac.uk.
Julian D MarshallDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA. marshall.julian@gmail.com.
Cathryn TonneCentre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain. cathryn.tonne@isglobal.org.

Funding

European Research Council 336167Wellcome Trust 084674/Z
6 · The paper itself

Abstract

Daily mobility, an important aspect of environmental exposures and health behavior, has mainly been investigated in high-income countries. We aimed to identify the main dimensions of mobility and investigate their individual, contextual, and external predictors among men and women living in a peri-urban area of South India. We used 192 global positioning system (GPS)-recorded mobility tracks from 47 participants (24 women, 23 men) from the Cardiovascular Health effects of Air pollution in Telangana, India (CHAI) project (mean: 4.1 days/person). The mean age was 44 (standard deviation: 14) years. Half of the population was illiterate and 55% was in unskilled manual employment, mostly agriculture-related. Sex was the largest determinant of mobility. During daytime, time spent at home averaged 13.4 (3.7) h for women and 9.4 (4.2) h for men. Women's activity spaces were smaller and more circular than men's. A principal component analysis identified three main mobility dimensions related to the size of the activity space, the mobility in/around the residence, and mobility inside the village, explaining 86% (women) and 61% (men) of the total variability in mobility. Age, socioeconomic status, and urbanicity were associated with all three dimensions. Our results have multiple potential applications for improved assessment of environmental exposures and their effects on health.

Indexed as

Environmental ExposureMovementAdultAge FactorsFemaleGeographic Information SystemsHumansIndiaMaleMiddle AgedSocial ClassUrban Populationgenderglobal positioning system (GPS)Indiaprincipal component analysis (PCA)spatial behaviortime-activity patterns

Identifiers

PMID28708095
PMCPMC5551221

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.