Evidence map›Paper›PMID 29026542›Full record

ArticleArchives of public health = Archives belges de sante publique2017

A population-based survey on physical inactivity and leisure time physical activity among adults in Chiang Mai, Thailand, 2014.

Sanhapan Thanamee, Kanokporn Pinyopornpanish, Apichai Wattanapisit, Suparerk Suerungruang, Kanittha Thaikla, Wichuda Jiraporncharoen, Chaisiri Angkurawaranon

Open access · goldAbstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  10. Factors Associated with Health-Related Quality of Life amongst Employees in a Malaysian Public University.International journal of environmental research and public health · 2021
    Article
  11. Overview of Physical Activity Counseling in Primary Care.Korean journal of family medicine · 2021
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  19. Physical Activity among Spanish Undergraduate Students: A Descriptive Correlational Study.International journal of environmental research and public health · 2019
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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 3 institutions in 1 country.

Sanhapan ThanameeDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200 Thailand.
Kanokporn PinyopornpanishDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200 Thailand.
Apichai WattanapisitSchool of Medicine, Walailak University, Nakhon Si Thammarat, 80161 Thailand.
Suparerk SuerungruangHealth Promotion Center Region 1, Chiang Mai, 50100 Thailand.
Kanittha ThaiklaResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, 50200 Thailand.
Wichuda JiraporncharoenDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200 Thailand.
Chaisiri AngkurawaranonDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200 Thailand.ORCID 0000-0003-4206-9164
Chiang Mai University · THThai Health Promotion Foundation · THWalailak University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing physical inactivity among the population is a challenge for many nations. Targeting leisure time physical activity (LTPA) may be useful in increasing overall physical activity as it is assumed it is associated with a higher degree of free choice and personal preference than physical activity at work and during travel. The study explored the prevalence of physical inactivity and focused on the overall level of energy expenditure and energy level spent during leisure time among those who were physically inactive and assessed the stages of change for LTPA among those who were physically inactive.

methodsA population-based survey was conducted in 2014 in Chiang Mai, Thailand using a stratified two-stage cluster sampling technique. The Global Physical Activity Questionnaire (GPAQ) was used to collect the data on physical activity. Sufficient levels of physical activity (PA) were defined as ≥150 min/week of moderate-intensity PA or ≥75 min/week of vigorous-intensity PA or ≥600 metabolic equivalent of task (MET)-minutes/week. Weighted analyses were used to estimate the prevalence of physical inactivity, the total energy expenditure and expenditure during LTPA as well as stages of change among the physically inactive population.

resultsA total of 1744 people (808 men and 936 women), aged 15 to 64 years, participated in the study. We estimated that a quarter (26%) of the population were physically inactive. Physical inactivity was more commonly found among women than men in most age groups. LTPA contributed a small proportion of overall PA. On average, physically inactive men spent 132.8 MET-minutes/week and inactive women spent 208.2 MET-minutes/week in overall PA which is well below the 600 MET-minutes/week recommend by the World Health Organization. Around 75% of physically inactive people had no intention of engaging in regular LTPA.

conclusionAbout a quarter of the investigative population were physically inactive. Most physically inactive members of the population participate in low levels of LTPA, but the majority has no intention of increasing PA during leisure time. A large-scale health promotion program is needed, and it should focus on an approach for the pre-contemplated population.

Indexed as

EpidemiologyLeisure time physical activityPhysical activityPublic healthThailand

Identifiers

PMID29026542
PMCPMC5623978
OpenAlexW2724367933

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.