Evidence map›Paper›PMID 32012185›Full record

ArticlePloS one2020

Is left-behind status related to differences in sexual health of Armenian mothers? Evidence from the Demographic and Health Survey in 2010 and 2015.

David Ferrandiz-Mont, Chi Chiao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

David Ferrandiz-MontInstitute of Public Health, International Health Program, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Chi ChiaoInstitute of Health and Welfare Policy, Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan.ORCID 0000-0002-8904-918X
National Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigration caused by poverty is a growing public health issue around the world. Migrants are at heightened risk of HIV/STIs and yet the vulnerability to poor sexual health of their left-behind partners, in relation to their household wealth, remain understudied. This investigation examines differences in sexual health from 2010 to 2015 among Armenian mothers, with a specific focus on their left-behind migration status and household wealth. METHODS AND

findingsUsing the population-based Demographic and Health Surveys from Armenia, multilevel logistic models were used to examine the various relationships between sexual health, left-behind status, and household wealth. The multivariate analysis results showed that self-reported sexually transmitted infection (STI) symptoms (AOR = 1.45; p<0.01) and intimate partner violence (IPV) (AOR = 1.45; p<0.01) increased from 2010 to 2015; furthermore, negotiation power over sex (AOR = 0.77; p<0.01) declined among Armenian mothers. Left-behind mothers (LBMs) were more likely to report STI symptoms than their non-LBM counterparts (AOR = 1.61; p<0.01). In addition, significant differences in sexual health between LBMs and non-LBMs with different levels of household wealth were observed. The poorest wealth quintiles were associated with a higher likelihood of self-reported STI symptoms (AOR = 1.74; p<0.05) and IPV (AOR = 1.78; p<0.01), as well as a lower likelihood of utilizing HIV testing (AOR = 0.48; p<0.01) and negotiating power over sex (AOR = 0.47; p<0.01).

conclusionsThis study strives to fill gaps in the literature related to the relationship between left-behind status, household wealth, and sexual health among Armenian mothers in a context of economic expansion. Among these mothers, poor sexual health outcomes increased from 2010 to 2015. Both low household wealth and a left-behind status were associated with adverse sexual health outcomes. These findings suggest future campaigns aimed at improving the sexual health of Armenian mothers need to be migration-status appropriate and socioeconomic-sensitive.

Indexed as

Health SurveysAdolescentAdultArmeniaDemographyFemaleHumansMiddle AgedMothersSexual HealthTransients and MigrantsYoung Adult

Identifiers

PMID32012185
PMCPMC6996842
OpenAlexW3004723679

What OpenQuestion holds

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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.