Evidence map›Paper›PMID 35551630›Full record

ArticleConflict and health2022

Psychological distress and social support among conflict refugees in urban, semi-rural and rural settlements in Uganda: burden and associations.

Gloria Seruwagi, Catherine Nakidde, Eric Lugada, Maria Ssematiko, Dunstan P Ddamulira, Andrew Masaba, Brian Luswata, Eric A Ochen, Betty Okot, Denis Muhangi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Conflict and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 15 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

11 authors at 3 institutions in 1 country.

Gloria SeruwagiMakerere University School of Public Health, Kampala, Uganda. gseruwagi@musph.ac.ug.ORCID http://orcid.org/0000-0002-7280-6164
Catherine NakiddeDepartment of Social Work and Social Administration, Centre for Health and Social Economic Improvement (CHASE-i), Makerere University, Kampala, Uganda.
Eric LugadaDepartment of Social Work and Social Administration, Centre for Health and Social Economic Improvement (CHASE-i), Makerere University, Kampala, Uganda.
Maria SsematikoDepartment of Social Work and Social Administration, Centre for Health and Social Economic Improvement (CHASE-i), Makerere University, Kampala, Uganda.
Dunstan P DdamuliraAgency for Cooperation and Research in Development (ACORD), Kampala, Uganda.
Andrew MasabaLutheran World Federation (LWF), Kampala, Uganda.
Brian LuswataDirectorate of Governance and Regulation, Ministry of Health, Kampala, Uganda.
Eric A OchenDepartment of Social Work and Social Administration, Centre for Health and Social Economic Improvement (CHASE-i), Makerere University, Kampala, Uganda.
Betty OkotDepartment of Social Work and Social Administration, Centre for Health and Social Economic Improvement (CHASE-i), Makerere University, Kampala, Uganda.
Denis MuhangiDepartment of Social Work and Social Administration, Centre for Health and Social Economic Improvement (CHASE-i), Makerere University, Kampala, Uganda.
Stephen LawokoDepartment of Public Health Faculty of Medicine, Gulu University, Gulu, Uganda.
Makerere University · UGGulu University · UGMinistry of Health · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent research shows that psychological distress is on the rise globally as a result of the COVID-19 pandemic and restrictions imposed on populations to manage it. We studied the association between psychological distress and social support among conflict refugees in urban, semi-rural and rural settlements in Uganda during the COVID-19 pandemic.

methodsCross-sectional survey data on psychological distress, social support, demographics, socio-economic and behavioral variables was gathered from 1014 adult refugees randomly sampled from urban, semi-rural and rural refugee settlements in Uganda, using two-staged cluster sampling. Data was analyzed in SPSS-version 22, and statistical significance was assumed at p < 0.05.

resultsRefugees resident in rural/semi-rural settlements exhibited higher levels of psychological distress [F(2, 1011) = 47.91; p < 0.001], higher availability of social interaction [F(2, 1011) = 82.24; p < 0.001], lower adequacy of social interaction [F(2, 1011) = 54.11; p < 0.001], higher availability of social attachment [F(2, 1011) = 47.95; p < 0.001], and lower adequacy of social attachment [F(2, 1011) = 50.54; p < 0.001] than peers in urban settlements. Adequacy of social interaction significantly explained variations in psychological distress levels overall and consistently across settlements, after controlling for plausible confounders. Additionally, adequacy of social attachment significantly explained variations in psychological distress levels among refugees in rural settlements, after controlling for plausible confounders.

conclusionThere is a settlement-inequality (i.e. rural vs. urban) in psychological distress and social support among conflict refugees in Uganda. To address psychological distress, Mental Health and Psychosocial Support Services (MHPSS) should focus on strategies which strengthen the existing social networks among refugees. Variations in social support are a key predictor of distress which should guide tailored need-adapted interventions instead of duplicating similar and generic interventions across diverse refugee settlements.

Indexed as

Conflict refugeesCOVID-19MHPSSPsychological distressSocial supportUgandaUrban refugeesUrban / rural

Identifiers

PMID35551630
PMCPMC9096741
OpenAlexW4280585491

What OpenQuestion holds

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LicenceCC BY
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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.