Evidence map›Paper›PMID 31183214›Full record

ArticleJournal of obesity2019

Regional Variation in Comorbid Prediabetes and Diabetes and Associated Factors among Hypertensive Individuals in Rural Bangladesh, Pakistan, and Sri Lanka.

Liang Feng, Aliya Naheed, H Asita de Silva, Imtiaz Jehan, Rubhana Raqib, Md Tauhidul Islam, Nathasha Luke, Anuradhani Kasturiratne, Hamida Farazdaq, Sahar Senan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of obesity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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, 13 citations in OpenAlex.

  1. Article
  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

12 authors at 5 institutions in 5 countries.

Liang FengProgram in Health Services and Systems Research, Duke-NUS Medical School, Singapore.ORCID 0000-0002-0252-0136
Aliya NaheedInitiative for Non-Communicable Diseases, Health Systems and Population Studies Division, icddr, b, Dhaka, Bangladesh.
H Asita de SilvaClinical Trials Unit, Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka.
Imtiaz JehanDepartment of Community Health Science, Aga Khan University, Karachi, Pakistan.
Rubhana RaqibImmunobiology, Nutrition and Toxicology Laboratory, Infectious Diseases Division, icddr, b, Dhaka, Bangladesh.
Md Tauhidul IslamInitiative for Non-Communicable Diseases, Health Systems and Population Studies Division, icddr, b, Dhaka, Bangladesh.
Nathasha LukeClinical Trials Unit, Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka.
Anuradhani KasturiratneDepartment of Public Health, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka.
Hamida FarazdaqDepartment of Family Medicine, Aga Khan University, Karachi, Pakistan.
Sahar SenanDepartment of Community Health Science, Aga Khan University, Karachi, Pakistan.
Tazeen H JafarProgram in Health Services and Systems Research, Duke-NUS Medical School, Singapore.ORCID 0000-0001-7454-8376
Cobra-Bps Study GroupProgram in Health Services and Systems Research, Duke-NUS Medical School, Singapore.
Aga Khan University · PKInternational Centre for Diarrhoeal Disease Research · BDUniversity of Kelaniya · LKDuke-NUS Medical School · SGDuke University · US

Funding

Medical Research Council MR/N006178/1Wellcome Trust
6 · The paper itself

Abstract

We aimed to explore the cross-country variation in the prevalence of comorbid prediabetes or diabetes and determine the sociodemographic, lifestyle, and clinical factors, especially body mass index (BMI) and waist circumference, associated with comorbid diabetes in individuals with hypertension in rural South Asia. We analyzed cross-sectional data of 2426 hypertensive individuals of ≥40 years from 30 randomly selected rural communities in Bangladesh, Pakistan, and Sri Lanka. Prediabetes was defined as fasting plasma glucose (FPG) between 100 and 125 mg/dL without use of antidiabetic treatment and diabetes as FPG ≥126 mg/dL or use of antidiabetic medication. The prevalence (95% CI) of prediabetes or diabetes (53.5% (51.5%, 55.5%)) and diabetes (27.7% (25.9%, 29.5%)) was high in the overall hypertensive study population in rural communities in 3 countries. Rural communities in Sri Lanka had the highest crude prevalence of prediabetes or diabetes and diabetes (73.1% and 39.3%) with hypertension, followed by those in Bangladesh (47.4% and 23.1%) and Pakistan (39.2% and 20.5%). The factors independently associated with comorbid diabetes and hypertension were residing in rural communities in Sri Lanka, higher education, international wealth index, waist circumference, pulse pressure, triglyceride, and lower high-density lipoprotein. The association of diabetes with waist circumference was stronger than with BMI in hypertensive individuals. Prediabetes or diabetes are alarmingly common among adults with hypertension and vary among countries in rural South Asia. The high prevalence of comorbid diabetes in Sri Lanka among hypertensives is not fully explained by conventional risk factors and needs further etiological research. Urgent public health efforts are needed to integrate diabetes control within hypertension management programs in rural South Asia, including screening waist circumference.

Indexed as

AdultAnthropometryAntihypertensive AgentsBangladeshComorbidityCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic AngiopathiesFemaleHumansHypertensionMaleMiddle AgedPakistanPrediabetic StatePrevalenceAntihypertensive Agents

Identifiers

PMID31183214
PMCPMC6515018
OpenAlexW2942831687

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.