Evidence map›Paper›PMID 23362210›Full record

ArticleThe Gerontologist2013

Belief in AIDS-related conspiracy theories and mistrust in the government: relationship with HIV testing among at-risk older adults.

Chandra L Ford, Steven P Wallace, Peter A Newman, Sung-Jae Lee, William E Cunningham

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The Gerontologist, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 13% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 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

5 authors at 2 institutions in 1 country.

Chandra L Ford*Address correspondence to Chandra L. Ford, MLIS, Department of Community Health Sciences, Box 951772, UCLA Fielding School of Public Health, 650 Charles E. Young Dr., South, Los Angeles, CA 90095-1772. E-mail: clford@ucla.edu.
Steven P Wallace
Peter A Newman
Sung-Jae Lee
William E Cunningham
UCLA Health · USUniversity of California, Los Angeles · US

Funding

Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTON, PETER A · 1991 to 2018
$39.9M
The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CATHERINE A SARKISIAN · 2002 to 2026
$19.7M
TRAINING COREP20MD000182 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI MILBURN, NORWEETA GERMAINE, SHAPIRO, MARTIN F. · 2002 to 2016
$16.5M
Statistics and Methods CoreR24HD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAMPBELL, CAMERON DOUGALL · 2001 to 2016
$10.1M
Effectiveness of Peer Navigation to Link Released HIV+ Jail Inmates to HIV CareR01DA030781 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CUNNINGHAM, WILLIAM EMERY · 2010 to 2015
$4.5M
Post-trial HIV Vaccines: Receptivity, Risk &DisparitiesR01MH069087 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CUNNINGHAM, WILLIAM EMERY · 2004 to 2007
$2.0M
Family-Focused HIV Disclosure Intervention in ThailandK01MH085503 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEE, SUNG-JAE · 2009 to 2013
$755k
Culturally Sensitive Intervention to Improve Retention in HIV Care for Latino MSMR34MH089719 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CUNNINGHAM, WILLIAM EMERY · 2010 to 2012
$556k
NIAID NIH HHS AI028697NIA NIH HHS P30 AG021684NIA NIH HHS P30-AG02-1684NICHD NIH HHS 5R24HD041022NICHD NIH HHS R24 HD041022NIDA NIH HHS R01 DA030781NIMHD NIH HHS P20 MD000182NIMH NIH HHS 5K01MH085503NIMH NIH HHS 5 RO1 MH069087NIMH NIH HHS R34 MH089719
6 · The paper itself

Abstract

purposeOne in 4 persons living with HIV/AIDS is an older adult (age 50 or older); unfortunately, older adults are disproportionately diagnosed in late stages of HIV disease. Psychological barriers, including belief in AIDS-related conspiracy theories (e.g., HIV was created to eliminate certain groups) and mistrust in the government, may influence whether adults undergo HIV testing. We examined relationships between these factors and recent HIV testing among at-risk, older adults. DESIGN AND

methodsThis was a cross-sectional study among older adults enrolled in a large venue-based study. None had a previous diagnosis of HIV/AIDS; all were seeking care at venues with high HIV prevalence. We used multiple logistic regression to estimate the associations between self-reported belief in AIDS-related conspiracy theories, mistrust in the government, and HIV testing performed within the past 12 months.

resultsAmong the 226 participants, 30% reported belief in AIDS conspiracy theories, 72% reported government mistrust, and 45% reported not undergoing HIV testing within the past 12 months. Belief in conspiracy theories was positively associated with recent HIV testing (adjusted odds ratio [OR] = 1.94, 95% confidence interval [CI] = 1.05-3.60), whereas mistrust in the government was negatively associated with testing (OR = 0.43, 95% CI = 0.26-0.73). IMPLICATIONS: Psychological barriers are prevalent among at-risk older adults seeking services at venues with high HIV prevalences and may influence HIV testing. Identifying particular sources of misinformation and mistrust would appear useful for appropriate targeting of HIV testing strategies.

Indexed as

Attitude to HealthCultureHIVRisk-TakingAcquired Immunodeficiency SyndromeAgedCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHIV InfectionsHumansMaleMass ScreeningMiddle AgedMorbiditySexual BehaviorAge groupsAIDS serodiagnosisCommunity health servicesPrevention and controlVulnerable populations

Identifiers

PMID23362210
PMCPMC3826163
OpenAlexW2165512091

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.