Evidence map›Paper›PMID 23690804›Full record

ArticleJournal of environmental and public health2013

Active transport and health outcomes: findings from a population study in Jiangsu, China.

Shu-rong Lu, Jian Su, Quan-yong Xiang, Feng-yun Zhang, Ming Wu

Abstract read
In one paragraph

Article in Journal of environmental and public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Health Literacy and Active Transport in Austria: Results from a Rural Setting.International journal of environmental research and public health · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Active Travel by Built Environment and Lifecycle Stage: Case Study of Osaka Metropolitan Area.International journal of environmental research and public health · 2015
    Article
  12. Green areas, clean air and cardiovascular health in the city of São Paulo.Sao Paulo medical journal = Revista paulista de medicina
    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.

Shu-rong LuChronic Disease Department of Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, China.
Jian Su
Quan-yong Xiang
Feng-yun Zhang
Ming Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the prevalence of active transport (AT, defined as walking or bicycling for transport) and to explore the association between AT and health outcomes, we conducted a population-based cross-sectional study in Jiangsu, China, where walking and bicycling are still the main modes of transport. In this study, 8400 community residents aged 18 or above were interviewed following a multistage random sampling method (100% response rate). Face-to-face questionnaire survey data, anthropometric measurements, and biochemical data from blood tests were collected. Results show that 49.6% of the subjects, as part of daily transport, actively traveled on average 5.3 days per week, 53.5 minutes per day, and 300.3 minutes per week. There was an inverse correlation between AT and some health outcomes: AT respondents had a higher prevalence of cholesterol disorder; AT respondents who actively travelled every day had a higher risk of diabetes, whilst AT respondents with shorter daily or weekly duration had a lower risk of obesity, central obesity, and cholesterol disorder. Moreover, AT influences more health aspects among urban residents than among rural residents. Findings of this study do not support the notion that AT is beneficial to population health. Further research is needed in determining the negative side effects of AT.

Indexed as

Motor ActivityTransportationAdolescentAdultAgedAged, 80 and overBicyclingChinaCholesterolCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansHypertensionMaleMiddle AgedCholesterol

Identifiers

PMID23690804
PMCPMC3649642

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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.