Evidence map›Paper›PMID 29236783›Full record

ArticlePloS one2017

Nutrition label experience, obesity, high blood pressure, and high blood lipids in a cohort of 42,750 Thai adults.

Wimalin Rimpeekool, Vasoontara Yiengprugsawan, Martyn Kirk, Cathy Banwell, Sam-Ang Seubsman, Adrian Sleigh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Functional Dentition and 12-Month Changes in Body Measurements among Thai Older Adults.International journal of environmental research and public health · 2020
    Article
  8. Analytical methods for cholesterol quantification.Journal of food and drug analysis · 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

6 authors at 1 institution in 2 countries.

Wimalin RimpeekoolNational Centre for Epidemiology & Population Health, Research School of Population Health, Australian National University, Canberra, Australia.ORCID http://orcid.org/0000-0001-7654-1493
Vasoontara YiengprugsawanCentre for Research on Ageing, Health, and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australia.
Martyn KirkNational Centre for Epidemiology & Population Health, Research School of Population Health, Australian National University, Canberra, Australia.
Cathy BanwellNational Centre for Epidemiology & Population Health, Research School of Population Health, Australian National University, Canberra, Australia.
Sam-Ang SeubsmanNational Centre for Epidemiology & Population Health, Research School of Population Health, Australian National University, Canberra, Australia.
Adrian SleighNational Centre for Epidemiology & Population Health, Research School of Population Health, Australian National University, Canberra, Australia.
Australian National University · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionNutrition labels have been promoted for nearly two decades in Thailand to educate people about healthy eating and to combat nutrient-related non-communicable diseases (NCDs). But little is known about how nutrition labels are experienced and whether they are linked with better health. Our objective was to investigate the associations between nutrition label experience, obesity and nutrient-related NCDs in Thai consumers.

methodsA cross-sectional study was undertaken with a nationwide cohort of 42,750 distance learning Thai adult students enrolled in an Open University in 2013. We measured exposure as nutrition label experience (read, understand, use). Health outcomes were high blood pressure, high blood lipids, and high Body Mass Index (overweight at risk and obesity). Multivariate logistic regression was used to determine the association between nutrition label experience and health outcome adjusting for sociodemographic attributes, physical activity, smoking, and alcohol intake.

resultsFrequent nutrition label use varied by cohort attributes and health outcomes and was least for those with low physical activity and high blood pressure. Being male, older, an urban resident or with low physical activity was associated with increasing high blood pressure and high blood lipids. Compared to those who read, understand and use nutrition labels, participants who did not (read, understand, and use), were more likely to report high blood pressure (Adjusted Odds Ratio 1.33; 1.17-1.51), high blood lipids (AOR 1.26; 1.14-1.39), and obesity (AOR 1.23; 1.13-1.33), but were not more likely to be overweight at risk (AOR 1.06; 0.97-1.16).

conclusionsWe found cross-sectional associations between low nutrition label experience and increased likelihood of high blood pressure, high blood lipids, and obesity among Thai adults. Nutrition label education should be promoted as part of a public health approach to appropriate food choices and better lifestyles to reduce obesity and nutrient-related NCDs.

Indexed as

Food LabelingAdultCohort StudiesCross-Sectional StudiesFemaleHumansHyperlipidemiasHypertensionMaleObesityThailand

Identifiers

PMID29236783
PMCPMC5728572
OpenAlexW2774827079

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.