Evidence map›Paper›PMID 32203075›Full record

ArticleJournal of human hypertension2021

Assessing the true association between hypertension status and stature of individuals in Bangladesh: propensity score analysis.

Ashis Talukder, Mohammad Ali

Abstract read
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In one paragraph

Article in Journal of human hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Ashis TalukderStatistics Discipline, Khulna University, Khulna, 9208, Bangladesh. ashistalukder27@yahoo.com.
Mohammad AliStatistics Discipline, Khulna University, Khulna, 9208, Bangladesh.
Khulna University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inconsistent evidence is found in the literature regarding the association between individuals' stature and hypertension status. In this study, an attempt has been made to investigate the true association between height and occurrence of hypertension. For analysis purpose, this study considers Bangladesh Demographic and Health Survey (BDHS) 2011 data obtained from an observational study. By dividing height (tall/normal/short) based on 25th and 75th percentile points separately for females and males, a binary logistic regression model was fitted to the weighted data, where weights were calculated from propensity scores (PS). From the PS-based weighted data, we did not find any significant association between height and hypertension (p > 0.05). Besides the respondent's height, logistic regression analyses of a balanced data set have revolved around some well-known factors that are associated with the occurrence of hypertension: gender of the respondent, higher wealth index status, as well as overweight. This study also found higher odds of occurring hypertension among the residents of Khulna and Rangpur divisions, whereas lower likelihood of hypertension is reported for the individual living in Chittagong and Sylhet districts. The findings of this paper indicate that human stature is not a risk factor for hypertension. Apart from height, this study uncovers some important risk factors for developing hypertension. By considering these factors, awareness should be raised among male, wealthier, and overweighted individuals in Bangladesh. However, why the prevalence of hypertension is higher in Khulna and Rangpur, as well as lower in Chittagong and Sylhet, demands further research.

Indexed as

HypertensionBangladeshBody HeightFemaleHealth SurveysHumansMalePrevalencePropensity ScoreRisk FactorsSocioeconomic Factors

Identifiers

PMID32203075
OpenAlexW3011683935

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.