Evidence map›Paper›PMID 29136655›Full record

ArticlePloS one2017

Socio-behavioral risk factors among older adults living with HIV in Thailand.

Patou Masika Musumari, Arunrat Tangmunkongvorakul, Kriengkrai Srithanaviboonchai, Mitchell D Feldman, Wathee Sitthi, Kittipan Rerkasem, Teeranee Techasrivichien, S Pilar Suguimoto, Masako Ono-Kihara, Masahiro Kihara

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Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Patou Masika MusumariDepartment of Global Health and Socio-epidemiology, Kyoto University School of Public Health, Kyoto, Japan.
Arunrat TangmunkongvorakulResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-9096-6372
Kriengkrai SrithanaviboonchaiResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
Mitchell D FeldmanDivision of General Internal Medicine, University of California San Francisco, San Francisco, California, United States of America.
Wathee SitthiResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
Kittipan RerkasemResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
Teeranee TechasrivichienDepartment of Global Health and Socio-epidemiology, Kyoto University School of Public Health, Kyoto, Japan.
S Pilar SuguimotoDepartment of Global Health and Socio-epidemiology, Kyoto University School of Public Health, Kyoto, Japan.
Masako Ono-KiharaDepartment of Global Health and Socio-epidemiology, Kyoto University School of Public Health, Kyoto, Japan.
Masahiro KiharaDepartment of Global Health and Socio-epidemiology, Kyoto University School of Public Health, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been a global increase in HIV infection in persons 50 years of age and older. This group is at risk for development of chronic illness that may be exacerbated by socio-behavioral risk factors such as smoking, unhealthy alcohol use, and sedentary lifestyle. However, socio-behavioral risk factors in this older HIV infected population are not well described. The current study aims to describe and document factors related to alcohol use, tobacco smoking, and physical exercise in older adults living with HIV (OALHIV).

methodsThis cross-sectional quantitative study was conducted between August and September 2015, and enrolled HIV-infected participants aged 50 years and older from 12 community hospitals in Chiang Mai Province, Northern Thailand.

resultsOf the 364 participants recruited in the study, 57.1% were female, and 67.3% were between 50-59 years of age. Respectively, 15.1%, 59.1%, and 18.7% were current smokers, currently engaged in physical exercises, and reported ever drank alcohol in the past year. 22.1% of those who drank alcohol reported experience of heavy episodic drinking. Male gender was one of the strongest predictors of ever drank alcohol in the past year (AOR, 4.66; CI, 2.28-9.49; P<0.001) and of being a current smoker (AOR, 13.41; CI, 7.23-24.87; P<0.001). Lower household income was associated with increased odds of ever drank alcohol in the past year (household income (1 USD = 35 THB) of ≤ 5,000 Baht versus > 20,000 Baht: AOR, 5.34; CI, 1.28-22.25; P = 0.021). Lower educational level was associated with decreased odds of physical exercises (no education versus secondary and higher: AOR, 0.22; CI, 0.08-0.55; P = 0.001).

conclusionSmoking and alcohol use is common among OALHIV, with a substantial proportion not engaging in physical exercises. Interventions for OALHIV should particularly target males and those of lower socio-economic status to deter smoking and alcohol use and to promote physical exercises.

Indexed as

Health BehaviorAgedCross-Sectional StudiesFemaleHIV InfectionsHumansLife StyleMaleMiddle AgedRisk FactorsThailand

Identifiers

PMID29136655
PMCPMC5685602

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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.