Evidence map›Paper›PMID 30212519›Full record

ArticlePloS one2018

Gender differences in factors associated with prehypertension and hypertension in Nepal: A nationwide survey.

Kingsley Emwinyore Agho, Uchechukwu L Osuagwu, Osita K Ezeh, Pramesh Raj Ghimire, Stanley Chitekwe, Felix Akpojene Ogbo

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Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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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

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

  1. Pooled it
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  9. Does the place of residence influence your risk of being hypertensive? A study-based on Nepal Demographic and Health Survey.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Kingsley Emwinyore AghoSchool of Science and Health, Western Sydney University, Campbelltown Campus, Penrith, New South Wales, Australia.ORCID 0000-0003-4111-3207
Uchechukwu L OsuagwuSchool of Medicine | Diabetes Obesity and Metabolism Translational Research Unit (DOMTRU), Macarthur Clinical School, Campbelltown, New South Wales, Australia.ORCID 0000-0002-1727-6914
Osita K EzehSchool of Science and Health, Western Sydney University, Campbelltown Campus, Penrith, New South Wales, Australia.
Pramesh Raj GhimireSchool of Science and Health, Western Sydney University, Campbelltown Campus, Penrith, New South Wales, Australia.
Stanley ChitekweUnited Nations Children Funds (UNICEF), United Nations House, Pulchowk, Lalitpur Nepal.
Felix Akpojene OgboTranslational Health Research Institute, School of Medicine, Western Sydney University, Campbelltown Campus, Penrith, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNepal has one of the highest prevalence of hypertension in South Asia. However, no national studies have examined the gender differences in the determinants of prehypertension and hypertension in the country to inform targeted interventions. This study aimed to investigate gender differences in factors associated with prehypertension and hypertension in Nepal using the 2016 Nepal Demographic and Health Survey (NDHS).

methodsSociodemographic, behavioural, anthropometric and health status data and information on hypertension were obtained from 14,857 (males: 6,245 and females: 8,612) individuals aged 15 years or above from the biomarker sample of the 2016 NDHS. Factors associated with prehypertension and hypertension by gender were investigated using generalized linear latent and mixed models (GLLAM) with the mlogit link and binomial family that adjusted for clustering and sampling weights.

resultsThe overall prevalence of prehypertension and hypertension was 26.9% [95% confidence interval (CI): 25.7, 28.1] and 17.2% (95% CI 16.1, 18.3), respectively. Prehypertension was present in 30.4% (95%CI: 28.7, 32.2) of males and 24.3% (95% CI: 23.1, 25.6) of females, while hypertension was present in 20.4%, (95% CI 18.9, 22.0) of males and 14.8% (95% CI: 13.7, 16.0) of females. Key modifiable factors that were strongly associated with prehypertension and hypertension in both genders included overweight and obesity, caffeine intake, tobacco use, no schooling, previously informed of hypertension in a health facility, and alcohol consumption (for males). Other significant factors associated with prehypertension and hypertension included increasing age (> 30 years), ecological zone (Hill), Developmental zone (Western) and being married.

conclusionOur results suggest that prehypertension and hypertension were higher in males compared to females. Interventions to improve awareness, screening, treatment and control of prehypertension and hypertension in Nepal are warranted and should target key modifiable factors, as well as people aged 30 years and above.

Indexed as

AdolescentAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansHypertensionMaleMiddle AgedNepalPrehypertensionPrevalenceRisk FactorsSex FactorsYoung Adult

Identifiers

PMID30212519
PMCPMC6136738

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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.