Evidence map›Paper›PMID 28860796›Full record

ArticleJournal of multidisciplinary healthcare2017

The positive effects of a peer-led intervention system for individuals with a risk of metabolic syndrome.

Aree Sanee, Ratana Somrongthong, Samlee Plianbangchang

Open access · goldAbstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Aree SaneeCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Ratana SomrongthongCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Samlee PlianbangchangCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Chulalongkorn University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a major health risk in Thailand. Although it is reported that females have a higher rate of MetS than males, very few peer-led intervention studies have been conducted on specific groups, such as seamstresses, at risk of MetS. This study aimed to evaluate the effect of a peer-led intervention program on reducing MetS risk factors in individuals working in Thai Uniform Sewing Military Factories.

methodsA quasiexperimental program was introduced using a pre- and posttest design that was applied to female sewing factory workers selected for this research. All participants had at least one of the key MetS symptoms. The experimental group (N=50 participants) received 12 weekly peer-led individual support discussion sessions that included both dietary and physical activity (PA) advice and the control group (N=50 participants) followed their usual daily routines. The Student's

resultsThe results showed that after 3 months of participation, when compared to the control group, the experimental group had significantly improved systolic blood pressure (BP) (

conclusionFindings from this study suggest that a peer-led support program can be introduced as an effective means of improving the behaviors of mostly sedentary factory workers at risk of MetS caused by working habits that are detrimental to health.

Indexed as

individualsmetabolic syndromepeer-led intervention

Identifiers

PMID28860796
PMCPMC5565256
OpenAlexW2744082238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.