Evidence map›Paper›PMID 38660257›Full record

ArticleHeliyon2024

Confirmatory factor analysis of latent constructs for measuring social well-being in African migrant samples.

Ufuoma Patience Ejoke, Edwin Devon Du Plessis, Smitha Dev, Ghanem Jaser Al Bustami, Mary Varghese

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Hypertension and the Well-Being of African Migrants in South Africa.International journal of environmental research and public health · 2025
    Article
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.

Ufuoma Patience EjokeUniversity of the Free State, Faculty of Humanities, Department of Psychology, Bloemfontein, South Africa.
Edwin Devon Du PlessisUniversity of the Free State, Faculty of Humanities, Department of Psychology, Bloemfontein, South Africa.
Smitha DevAbu Dhabi University, Education Department Abu Dhabi, United Arab Emirates.
Ghanem Jaser Al BustamiAbu Dhabi University, Education Department Abu Dhabi, United Arab Emirates.
Mary VargheseAbu Dhabi University, Education Department Abu Dhabi, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study contributes to psychology and well-being literature by investigating social well-being in minority contexts. The factor structure of the Keyes' long format 33-item social well-being measure was investigated among African migrant samples. A cross-sectional survey methodology was used to collect data from a total of 404 African migrants living in South Africa (n = 146), Uganda (n = 158) and Kenya (n = 100). They were 202 (50%) males, 195 (48.3%) females, and 7 (1.7%) of the samples did not disclose their gender. They were aged from 14 to 70 with a Mean age of 32.21 (standard deviation = 7.696). Data collected were analysed using CFA in AMOS (version 29). We found an unstable four-factor emic solution for African migrants in Sub-Sahara Africa. We could not replicate the theoretical social well-being model of Keyes (1998) among African migrant samples in Sub-Saharan Africa. Insights from the study will be critical to designing culturally appropriate indigenous measures that accurately reflect the social realities and well-being constructs of African migrants. Our findings will also help policymakers and service providers to identify areas of need, develop appropriate socio-cultural programmes, and allocate resources more effectively to support the integration and well-being of migrants within African societies.

Indexed as

African migrants ecosystemMeasurementSocial well-being

Identifiers

PMID38660257
PMCPMC11040061

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.