Evidence map›Paper›PMID 30057806›Full record

ArticleInternational journal of hypertension2018

Prevalence of Primary Hypertension and Risk Factors in Grade XII Learners in KwaZulu-Natal, South Africa.

Rajendra Bhimma, Elaene Naicker, Verena Gounden, Louansha Nandlal, Cathy Connolly, Sudesh Hariparshad

Abstract read
In one paragraph

Article in International journal of hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Article
  8. Modelling of South African Hypertension: Application of Panel Quantile Regression.International journal of environmental research and public health · 2022
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  17. Cardiovascular Disease Healthcare Utilization in Sub-Saharan Africa: A Scoping Review.International journal of environmental research and public health · 2019
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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

6 authors.

Rajendra BhimmaDepartment of Paediatrics and Child Health, Nelson R Mandela School of Medicine, School of Health Science, University of KwaZulu-Natal, Congella, Durban 4013, South Africa.ORCID 0000-0003-3092-7790
Elaene NaickerDepartment of Paediatrics and Child Health, Nelson R Mandela School of Medicine, School of Health Science, University of KwaZulu-Natal, Congella, Durban 4013, South Africa.
Verena GoundenDepartment of Chemical Pathology, University of KwaZulu-Natal and National Health Laboratory Services, Inkosi Albert Luthuli Central Hospital, Durban, South Africa.
Louansha NandlalDepartment of Optics and Imaging, Nelson R Mandela School of Medicine, School of Health Science, University of KwaZulu-Natal, South Africa.
Cathy ConnollyDepartment of Biostatistics, School of Public Health, University of KwaZulu-Natal, South Africa.
Sudesh HariparshadDepartment of Nephrology, Nelson R Mandela School of Medicine, School of Health Science, University of KwaZulu-Natal, Congella, Durban 4013, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension in childhood leads to hypertension in adult life, the strongest risk factor being obesity. This study determined the prevalence of primary hypertension and its risk factors in Grade XII learners in KwaZulu-Natal, South Africa, from March 2016 to June 2017. Weight, height, body mass index (BMI), random finger prick cholesterol and glucose, and spot urine for an albumin : creatinine ratio were measured. An average of three separate blood pressure readings taken was at least 5 minutes apart. Five hundred and sixty-four learners had weight, height, and BMI; 536 had random blood glucose; and 545 had cholesterol and random spot urine albumin : creatinine ratios measured. Prehypertension was detected in 168 (29.7%) and hypertension in 77 (13.7%) of learners. Ninety (15.9%) were overweight and 75 (13,3%) were obese. Hypercholesterolaemia was present in 58 (10.8%) and a high spot random urine albumin : creatinine ratio in 5 (1.0%). None had a high blood glucose level. Both prehypertension and hypertension in all learners showed a significant increase with increasing BMI. Six (1.0%) learners had metabolic syndrome. Female learners in other racial groups (defined as Indian, mixed race, and White learners), overweight, and obese learners showed significantly higher rates of hypercholesterolaemia. We showed overweight and obesity as risk factors for prehypertension and hypertension. This presages the need for an appropriate diet and adequate exercise in a child's school career.

Identifiers

PMID30057806
PMCPMC6051133

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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.