Evidence map›Paper›PMID 30349400›Full record

ArticleHIV/AIDS (Auckland, N.Z.)2018

Magnitude and associated factors of diabetes mellitus and hypertension among adult HIV-positive individuals receiving highly active antiretroviral therapy at Jugal Hospital, Harar, Ethiopia.

Zerihun Ataro, Wondimye Ashenafi, Jiregna Fayera, Tekabe Abdosh

Abstract read
In one paragraph

Article in HIV/AIDS (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 10 pooled it
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zerihun AtaroDepartment of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia, zerihunataro@yahoo.com.
Wondimye AshenafiSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Jiregna FayeraSchool of Medicine, College of Health Sciences, Haramaya University, Harar, Ethiopia.
Tekabe AbdoshSchool of Medicine, College of Health Sciences, Haramaya University, Harar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with HIV infection are at increased risk of noncommunicable diseases (NCDs). Diabetes mellitus (DM) and hypertension are recognized as the major NCDs. Except few findings in general population, there is no well-documented evidence on the magnitude of NCDs and associated factors among HIV-positive patients. PURPOSE: The aim of this study was to determine the magnitude and associated factors of DM and hypertension among adult HIV-positive subjects receiving highly active antiretroviral therapy (HAART).

methodsA hospital-based cross-sectional study was conducted from February to April at Jugal Hospital, Harar, Eastern Ethiopia. Sociodemographic and anthropometric data and blood pressure (BP) were collected by senior clinical nurses. A total of 5 mL of venous blood was collected. Serum glucose and lipid profile were measured using the Autolab 18 clinical chemistry analyzer. Data were analyzed using STATA version 13.

resultsA total of 425 HIV-infected individuals taking HAART of age ranging from 18 to 68 years were included. The prevalence of DM and hypertension were 7.1% (95% CI: 4.9-9.9) and 12.7% (95% CI: 9.8-16.2), respectively. Increased blood triglyceride (adjusted odds ratio [AOR] =4.7, 95% CI: 1.7-13.1), high BP (AOR =3.3, 95% CI: 1.1-9.5), and high baseline body mass index (BMI) (AOR =8.7, 95% CI: 2.4-31.8) were significantly associated with DM. In contrast, raised waist-hip ratio (AOR =4.6, 95% CI: 1.6-13.3), raised blood glucose (AOR =3.5, 95% CI: 1.1-11.4), increased total cholesterol (AOR =3.9, 95% CI: 1.3-11.9), high current BMI (AOR =3.8, 95% CI: 1.5-9.6), drinking alcohol (AOR =3.4, 95% CI: 1.5-8.1), CD4 count <500 cell/mL (AOR =2.7, 95% CI: 1.3-5.6), and longer duration of HAART (AOR =2.3, 95% CI: 1.1-5.1) were significantly associated with hypertension.

conclusionDM and hypertension were frequent among HIV patients on HAART, and they were linked to the well-known risk factors. Therefore, regular screening and monitoring of DM and hypertension before and after the initiation of HAART is of paramount importance.

Indexed as

diabetes mellitusEthiopiaHAARTHIVhypertension

Identifiers

PMID30349400
PMCPMC6190641

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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.