Evidence map›Paper›PMID 28705242›Full record

ArticleInternational journal for equity in health2017

Non-communicable diseases and related risk behaviors among men and women living with HIV in Cambodia: findings from a cross-sectional study.

Pheak Chhoun, Chanrith Ngin, Sovannary Tuot, Khuondyla Pal, Martin Steel, Jennifer Dionisio, Hattie Pearson, Gitau Mburu, Carinne Brody, Siyan Yi

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 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

10 authors at 2 institutions in 3 countries.

Pheak ChhounKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Chanrith NginKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Sovannary TuotKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Khuondyla PalKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Martin SteelPublic Health Program, Touro University California, Vallejo, USA.
Jennifer DionisioPublic Health Program, Touro University California, Vallejo, USA.
Hattie PearsonPublic Health Program, Touro University California, Vallejo, USA.
Gitau MburuDivison of Health Research, Lancaster University, Lancaster, UK.
Carinne BrodyPublic Health Program, Touro University California, Vallejo, USA.
Siyan YiKHANA Center for Population Health Research, Phnom Penh, Cambodia. siyan@doctor.com.ORCID 0000-0002-3045-5386
Touro University California · USInternational HIV/AIDS Alliance · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a growing concern for an increasing burden of non-communicable diseases (NCDs) in people living with HIV. This concern is evident especially in developing countries where dietary and lifestyle risk factors associated with NCDs are becoming more prominent. This study explored the prevalence of diabetes mellitus, hypertension, and hyperlipidemia and related risk factors in men and women living with HIV in Cambodia.

methodsThis cross-sectional study was conducted among 510 adult people living with HIV randomly selected from one city and four provinces in Cambodia. A structured questionnaire was used to collect data on socio-demographic characteristics, health behaviors, medical history, and antiretroviral therapy (ART). Anthropometric and biological measurements were performed. Descriptive statistics were used to calculate proportions and means of the measured variables. An independent Student's t-test was used for continuous variables. Chi square test or Fisher's exact test was used for categorical variables to explore gender differences.

resultsPrevalence of diabetes mellitus, hypertension, and hyperlipidemia was 9.4, 15.1, and 33.7%, respectively. The prevalence of hyperlipidemia was significantly higher among men compared to women. Mean systolic and diastolic blood pressures were also significantly higher among men. Regarding risk factors, 17.3% of participants were overweight, and 4.1% were obese. Tobacco and alcohol use was common, particularly among men. Fruit and vegetable consumption was considerably low among both men and women. Physical activity levels were also low. About 40% of participants reported having a job that involved mostly sitting or standing; 46.3% reported engaging in moderate activities; and 11.8% reported engaging in vigorous activities during leisure time. A significantly higher proportion of men compared to women engaged in vigorous activities both at work and during leisure time.

conclusionsThe prevalence of diabetes mellitus, hypertension, and hyperlipidemia among men and women living with HIV in Cambodia is considerably high. Related risk factors were also common. Given the comorbidity of NCDs and HIV, policy and programmatic interventions are required, including integration of NCD screening into HIV programs. Distinctions in the levels of diseases and in health behaviors between men and women suggest that interventions need to be tailor-made and gender-specific, targeting their respective diseases and behaviors.

Indexed as

Life StyleRisk-TakingAdultAlcohol DrinkingCambodiaCross-Sectional StudiesDeveloping CountriesDiabetes MellitusDietExerciseFemaleHIV InfectionsHumansHyperlipidemiasHypertensionMaleAntiretroviral therapy (ART)CambodiaDiabetes mellitusHIVHypercholesterolemiaHypertensionNon-communicable diseases (NCDs)People living with HIV

Identifiers

PMID28705242
PMCPMC5513209
OpenAlexW2736171368

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.