Evidence map›Paper›PMID 30149686›Full record

ArticleInternational journal of environmental research and public health2018

Exploring Neighborhood Environments and Active Commuting in Chennai, India.

Deepti Adlakha, J Aaron Hipp, James F Sallis, Ross C Brownson

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The 'Obesity First' approach: Redefining the future of healthcare.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Review
  4. Article
  5. Perceived Neighborhood Safety and Active Transportation in Adults from Eight Latin American Countries.International journal of environmental research and public health · 2022
    Article
  6. Observational
  7. Individual, Social and Environmental Correlates of Active School Travel among Adolescents in India.International journal of environmental research and public health · 2020
    Article
  8. Obesity and Urban Environments.International journal of environmental research and public health · 2019
    Review
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.

Deepti AdlakhaSchool of Natural and Built Environment, Queen's University Belfast BT9 5AG, UK. d.adlakha@qub.ac.uk.ORCID 0000-0002-1720-6780
J Aaron HippDepartment of Parks, Recreation, and Tourism Management, Centre for Geospatial Analytics, Centre for Human Health and the Environment, North Carolina State University, Raleigh, NC 27695-8004, USA. jahipp@ncsu.edu.ORCID 0000-0002-2394-7112
James F SallisDepartment of Family Medicine and Public Health, University of California, San Diego, CA 92161, USA, and Australian Catholic University, Melbourne VIC 3065, Australia. jsallis@ucsd.edu.ORCID 0000-0003-2555-9452
Ross C BrownsonPrevention Research Centre in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO 63130, USA. rbrownson@wustl.edu.

Funding

Medical Research Council G0802045
6 · The paper itself

Abstract

Few studies assess built environment correlates of active commuting in low-and-middle-income countries (LMICs), but the different context could yield distinct findings. Policies and investments to promote active commuting remain under-developed in LMICs like India, which grapples with traffic congestion, lack of activity-supportive infrastructure, poor enforcement of traffic rules and regulations, air pollution, and overcrowding. This cross-sectional study investigated associations between home neighborhood environment characteristics and active commuting in Chennai, India. Adults (N = 370, 47.2% female, mean age =37.9 years) were recruited from 155 wards in the metropolitan area of Chennai in southern India between January and June 2015. Participants self-reported their usual mode of commute to work, with responses recoded into three categories: (1) multi-modal or active commuting (walking and bicycling; n = 56); (2) public transit (n = 52); and (3) private transport (n = 111). Environmental attributes around participants' homes were assessed using the Neighborhood Environment Walkability Scale for India (NEWS-India). Associations between environmental characteristics and likelihood of active commuting and public transit use were modeled using logistic regression with private transport (driving alone or carpool) as the reference category, adjusting for age, gender, and household car ownership. Consistent with other international studies, participants living in neighborhoods with a mix of land uses and a transit stop within a 10-minute walk from home were more likely to use active commuting (both

Indexed as

Environment DesignAdultBuilt EnvironmentCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedResidence CharacteristicsTransportationYoung Adultactive commutingbuilt environmentIndiaphysical activitypublic transit

Identifiers

PMID30149686
PMCPMC6163753

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.