Modelling of South African Hypertension: Application of Panel Quantile Regression.

Anesu Gelfand Kuhudzai, Guido Van Hal, Stefan Van Dongen, Muhammad Ehsanul Hoque

Open access · goldAbstract read

In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.2field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 2 countries.

Anesu Gelfand KuhudzaiDepartment of Social Epidemiology and Health Policy, University of Antwerp, 2610 Antwerp, Belgium.ORCID 0000-0003-2867-6865

Guido Van HalDepartment of Social Epidemiology and Health Policy, University of Antwerp, 2610 Antwerp, Belgium.ORCID 0000-0002-4611-4076

Stefan Van DongenDepartment of Evolutionary Ecology and Biology, University of Antwerp, 2610 Antwerp, Belgium.

Muhammad Ehsanul HoqueResearch Department, Management College of Southern Africa, Durban 4001, South Africa.

University of Antwerp · BEManagement College of Southern Africa · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is one of the crucial risk factors for morbidity and mortality around the world, and South Africa has a significant unmet need for hypertension care. This study aims to establish the potential risk factors of hypertension amongst adults in South Africa attributable to high systolic and diastolic blood pressure over time by fitting panel quantile regression models. Data obtained from the South African National Income Dynamics Study (NIDS) Household Surveys carried out from 2008 to 2018 (Wave 1 to Wave 5) was employed to develop both the fixed effects and random effects panel quantile regression models. Age, BMI, gender (males), race, exercises, cigarette consumption, and employment status were significantly associated with either one of the BP measures across all the upper quantiles or at the 75th quantile only. Suggesting that these risk factors have contributed to the exacerbation of uncontrolled hypertension prevalence over time in South Africa.

Indexed as

HypertensionAdultBlack PeopleBlood PressureHumansMaleRisk FactorsSouth Africafixed effects modelhypertensionpanel quantile regressionrandom effects modelSouth Africa

Identifiers

PMID35627337

DOI10.3390/ijerph19105802

PMCPMC9141596

OpenAlexW4229452337

What OpenQuestion holds

Textmetadata

LicenceCC BY

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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.