Evidence map›Paper›PMID 26169788›Full record

ArticleBMC public health2015

Clustering of non-communicable diseases risk factors in Bangladeshi adults: An analysis of STEPS survey 2013.

M Mostafa Zaman, Mahfuzur Rahman Bhuiyan, Md Nazmul Karim, MoniruzZaman, Md Mukhlesur Rahman, Abdul Waheed Akanda, Thushara Fernando

Erratum issuedAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

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

  1. Pooled it
  2. Trial
  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

17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

M Mostafa ZamanDivision of NCD, World Health Organization, Dhaka, Bangladesh. zamanm@who.int.
Mahfuzur Rahman BhuiyanDivision of NCD, World Health Organization, Dhaka, Bangladesh. bhuiyanma@who.int.
Md Nazmul KarimDivision of NCD, World Health Organization, Dhaka, Bangladesh. nazmulkarimt147@yahoo.com.
MoniruzZamanDivision of NCD, World Health Organization, Dhaka, Bangladesh. moniruzzaman@who.int.
Md Mukhlesur RahmanDivision of Training, Bureau of Health Education, Dhaka, Bangladesh. rahmanmukhlesur422@yahoo.com.
Abdul Waheed AkandaDivision of Training, Bureau of Health Education, Dhaka, Bangladesh. bhedghs2008@yahoo.com.
Thushara FernandoDivision of NCD, World Health Organization, Dhaka, Bangladesh. fernandot@who.int.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundNon-communicable diseases (NCDs) have already become major killers in Bangladesh. Once NCDs are developed, they become chronic health and economic problems. Their primary prevention is linked to their common risk factors. This study was conducted to determine the prevalence of NCD risk factors with a focus on their clustering in Bangladeshi adults.

methodsThis nationally representative study was done in 4,073 (1,812 men and 2,261 women) adults aged 25 years or older selected from rural and urban households. Multistage cluster sampling design was used. Selected variables were in line with steps I and II of WHO stepwise surveillance except alcohol.

resultsForty-four percent used tobacco in any form. Almost 93% did not consume adequate fruit and vegetables (5 servings or more). Thirty eight percent had low physical activity level (<600 MET-minutes/week). One-quarter (26%) were overweight (body mass index > =25 kg/m^2). Twenty-one percent had hypertension (blood pressure > =140/90 mmHg or medication) and about 5% had documented diabetes. Upon examination of risk factor clustering, we observed that 38% had at least three risk factors. After this threshold, clustering suddenly dropped down to a fairly low level. Using this threshold as a cut-off, clustering of risk factors was associated with age, male gender, urban residence, educational levels and quality of house in multivariate analysis.

conclusionPrevalence of NCD risk factors is fairly high in Bangladeshi adults with a tendency of clustering. If a risk factor such as hypertension is detected, a closer look for other risk factors has to be given in both at clinical and public health settings. Clustering raises risk by more than a summation of risk factors. Our findings, therefore, suggest that Bangladesh could expect a significant increase in NCDs in near future.

Indexed as

AdultAgedBangladeshBody Mass IndexCluster AnalysisDiabetes MellitusDietExerciseFemaleHealth BehaviorHumansHypertensionMaleMiddle AgedOverweightPrevalence

Identifiers

PMID26169788
PMCPMC4501055

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.