Evidence map›Paper›PMID 29268747›Full record

ArticleBMC public health2017

Alarming prevalence and clustering of modifiable noncommunicable disease risk factors among adults in Bhutan: a nationwide cross-sectional community survey.

Dorji Pelzom, Petros Isaakidis, Myo Minn Oo, Mongal Singh Gurung, Pemba Yangchen

Abstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Dorji PelzomHealth Management and Information System Unit, Policy and Planning Division, Ministry of Health, P.O. 726, Thimphu, Bhutan. dorji.pelzom@gmail.com.ORCID 0000-0002-4018-7311
Petros IsaakidisMédecins Sans Frontières, Operational Research Unit, Luxembourg City, Luxembourg.
Myo Minn OoInternational Union Against Tuberculosis and Lung Disease (The Union), Mandalay, Myanmar.
Mongal Singh GurungHealth Management and Information System Unit, Policy and Planning Division, Ministry of Health, P.O. 726, Thimphu, Bhutan.
Pemba YangchenHealth Management and Information System Unit, Policy and Planning Division, Ministry of Health, P.O. 726, Thimphu, Bhutan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBhutan is currently facing a double burden of non-communicable (NCDs) and communicable diseases, with rising trends of NCDs. The 2014 STEPS survey identified high prevalence of several NCD risk factors; however, associations with socio-demographic characteristics as well as clustering of risk factors were not assessed. This study aimed to determine the distribution and clustering of modifiable NCD risk factors among adults in Bhutan and their demographic and social determinants.

methodsThis was secondary analysis of data from NCD Risk Factors WHO STEPS Survey 2014 in Bhutan. A weighted analysis was conducted to calculate the prevalence of NCD risk factors, and associations were explored using weighted log-binomial regression models.

resultsThis study included 2822 Bhutanese aged 18-69 years; 52% were 18-39 years, 62% were female, and 69% were rural resident. Prevalence of high salt intake, unhealthy diet and tobacco use were 99, 67 and 25% respectively. Raised blood pressure was the commonest (36%) modifiable biological risk factor followed by overweight (33%). The median NCD risk factors per person was 3 (Inter Quartile Range: 2-4); 52.5%% had > = 3 risk factors. A statistically significant difference was found between male vs. female in alcohol consumption(aPR 0.71, 95% CI: 0.53-0.97), low physical activity(aPR 2.06, 95% CI: 1.54-2.75), impaired fasting glycaemia(aPR 1.24, 95% CI: 1.01-1.52), and being overweight(aPR 1.46, 95% CI: 1.31-1.63). Low physical activity was more common among those with secondary and above education level vs. those without any formal education(aPR 1.71, 95% CI: 1.24-2.35), and among those residing in urban areas vs. those in rural(aPR 3.43, 95% CI: 2.27-5.18). Older participants and urban residents were more likely to have > = 3 NCD risk factors compared to younger(aPR 1.46, 95% CI: 1.35-1.58) and rural residents(aPR 1.21, 95% CI: 1.10-1.32).

conclusionLifestyle modifications at the population level are urgently required in Bhutan as several NCD risk factors such as high salt intake, unhealthy diet, overweight, and high blood pressure were alarmingly high and frequently clustered. Moreover there is a need to consider policy and socio-political and economic factors that have undermined global and national progress to address the rise of NCDs and their risk factors in Bhutan as elsewhere.

Indexed as

AdolescentAdultAgedBhutanCluster AnalysisCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedNoncommunicable DiseasesPrevalenceRisk FactorsYoung AdultNCDOperation researchSORT-ITWHO STEPS

Identifiers

PMID29268747
PMCPMC5740865

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.