Evidence map›Paper›PMID 30509309›Full record

ArticleJournal of health, population, and nutrition2018

Food elimination, food substitution, and nutrient supplementation among ARV-exposed HIV-positive persons in southern Ghana.

Amos K Laar, Margaret Y Lartey, Augustine Ankomah, Michael P K Okyerefo, Ernest A Ampah, Demi P Letsa, Priscillia A Nortey, Awewura Kwara

Open access · goldAbstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2018. 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
0.5field-weighted citation impact, top 28% 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, 4 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Amos K LaarDepartment of Population, Family, & Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana. alaar@ug.edu.gh.ORCID 0000-0001-5557-0164
Margaret Y LarteyDepartment of Medicine, University of Ghana School of Medicine & Dentistry, University of Ghana, Accra, Ghana.
Augustine AnkomahDepartment of Population, Family, & Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.
Michael P K OkyerefoDepartment of Sociology, University of Ghana, Accra, Ghana.
Ernest A AmpahDepartment of Population, Family, & Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.
Demi P LetsaDepartment of Population, Family, & Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.
Priscillia A NorteyDepartment of Epidemiology and Disease Control, School of Public Health, University of Ghana, Accra, Ghana.
Awewura KwaraDepartment of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA.
University of Ghana · GHBrown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimal nutrition is a determinant of health in all persons. In persons living with HIV (PLHIV), nutrition is particularly important. Various factors, including dietary practices, play a role in guaranteeing nutritional health.

objectivesWe investigated multiple non-prescription drugs use among HIV-positive persons receiving antiretroviral therapy (ART) from four treatment centers in southern Ghana. This paper, however, focuses on nutrient supplement use, food elimination, and food substitution practices by the PLHIV.

methodsUsing quantitative and qualitative methods, we collected data from 540 HIV-positive persons at the health facility level. This paper focuses on only the quantitative data. Individual study participants were selected using a systematic random sampling procedure. Participants were interviewed after informed consent. We used univariate analysis to generate descriptive tabulations for key variables. Multivariable logistic regression modeling identified predictors of three practices (nutrient supplementation, food elimination, and food substitution). P value less than 0.05 or 95% confidence intervals facilitated determination of statistical significance. All analyses were performed using IBM SPSS Statistics for Windows, version 20.0.

resultsThe use of nutrient supplements was a popular practice; 72% of the PLHIV used various kinds. The primary motive for the practice was to boost appetite and to gain weight. A little over 20% of the participants reportedly eliminated certain foods and beverages, while 17% introduced new foods since their initial HIV diagnosis. All the three practices were largely driven by the quest for improved health status. We determined predictors of nutrient supplementation to be ART clinic location and having an ART adherence monitor. Having an ART adherence monitor was significantly associated with reduced odds of nutrient supplementation (AOR = 0.34; 95% CI 0.12-0.95). The only predictor for food elimination was education level (AOR = 0.29; 95% CI 0.30-0.92); predictors of food substitution were ART clinic location (AOR = 0.11; 95% CI 0.02-0.69) and anemia (defined as hemoglobin concentration less than 11.0 g/dl) (AOR = 0.21; 95% CI 0.12-0.85).

conclusionsThe practice of supplementation is popular among this group of PLHIV. Food elimination and substitution are practiced, albeit in moderation. The predictors identified may prove helpful in provider-client encounters as well as local HIV programming.

Indexed as

Ambulatory Care FacilitiesDietDietary SupplementsFeeding BehaviorHIV InfectionsMedication AdherenceAdolescentAdultAgedAnemiaAnti-HIV AgentsCross-Sectional StudiesEducational StatusFemaleGhanaHemoglobinsAnti-HIV AgentsHemoglobinsARTFood eliminationFood substitutionGhanaHIVNutrient supplementation

Identifiers

PMID30509309
PMCPMC6278010
OpenAlexW2902592855

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.