Evidence map›Paper›PMID 35470599›Full record

ArticleJournal of Korean medical science2022

Predictors Associated With HIV Status Non-Disclosure in Korea.

Kyungmin Kim, Jungmin Woo

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2022. 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
0.3field-weighted citation impact, top 45% 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, 3 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Kyungmin KimDepartment of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID https://orcid.org/0000-0001-9304-0404
Jungmin WooDepartment of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Korea. woojm3@hanmail.net.ORCID https://orcid.org/0000-0001-7180-9972
Kyungpook National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman immunodeficiency virus (HIV) disclosure provides personal support to people living with HIV/acquired immunodeficiency syndrome (PLWH). In addition, it has important implications for disease prevention and treatment. Research on disclosure has been conducted worldwide; however, data from South Korea are insufficient. The purpose of this study was to examine whether certain demographic, medical, and psychosocial factors act as predictors of HIV serostatus non-disclosure among PLWH in South Korea.

methodsParticipants consisted of 147 PLWH who visited the outpatient infection clinic between June 2020 and January 2021. Demographics, medical factors, HIV-related stigma, and depressive and anxiety symptoms were measured.

resultsThe overall disclosure rate among participants was 61.2%. Logistic regression analysis showed that lower depression (odds ratio [OR], 0.918;

conclusionIn South Korea, the rate of HIV disclosure is lower than in other countries. The higher disclosure concerns, lower depression and married state were suggested to be important predictors of HIV non-disclosure. High level of perceived stigma and experienced discrimination of PLWH may have affected the results. The social atmosphere linking sexual promiscuity and disease may also have influenced these results. Nationwide efforts should continue to reduce the overall stigma and create a social environment where PLWH can feel safe to disclose their disease conditions.

Indexed as

DisclosureHIV InfectionsHumansRepublic of KoreaSexual BehaviorSocial StigmaAnxietyDepressionDisclosureHIVStigma

Identifiers

PMID35470599
PMCPMC9039200
OpenAlexW4224941663

What OpenQuestion holds

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LicenceCC BY-NC
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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.