Evidence map›Paper›PMID 38358175›Full record

ArticleAnnals of African medicine

The impact of coronavirus crisis on human interpersonal relationships among AlAhsa population.

Abdul Sattar Khan, Bayan Taher Alnefaie, Danah Sami Al-Ali, Zainab Yousif Alhajji, Saja Ali Almusallam, Fadak Noori Alghannam

Abstract read
In one paragraph

Article in Annals of African medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Abdul Sattar KhanAssistant Professor, Family and Community Department, College of Medicine and General Surgery, King Faisal University, Saudi Arabia.
Bayan Taher AlnefaieMedical Student, College of Medicine and General Surgery, King Faisal University, Saudi Arabia.
Danah Sami Al-AliMedical Student, College of Medicine and General Surgery, King Faisal University, Saudi Arabia.
Zainab Yousif AlhajjiMedical Student, College of Medicine and General Surgery, King Faisal University, Saudi Arabia.
Saja Ali AlmusallamMedical Student, College of Medicine and General Surgery, King Faisal University, Saudi Arabia.
Fadak Noori AlghannamMedical Student, College of Medicine and General Surgery, King Faisal University, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Home quarantine during the coronavirus disease 2019 pandemic was a clear cause of loss of communication and a lot of conflicts between individuals, which had adverse consequences on people's relationships. Objective: This study aims to assess the effect of lockdown on interpersonal relationships in AlAhsa community. Methods: A. cross-sectional study was conducted during 2020-2021 with 306 participants in AlAhsa, the eastern region of Saudi Arabia. The data were collected using an online survey to explore the effect of lockdown on interpersonal relationships. Results: The study demonstrates that (61.8%) of the participants reported that their relationships were affected during lockdown, (61.4%) of them were affected negatively, with a higher rate among the unemployed and students (73.1%) and (64.8%), respectively. About 38.6% of the individuals were positively affected. Conclusion: Most of the participants identified that quarantine affected their interpersonal relationships negatively, which were impacted variably by different demographical statuses.

Indexed as

COVID-19Cross-Sectional StudiesHumansPandemicsSaudi ArabiaStudentsCoronavirus disease 2019interpersonal relationshipsSaudi Arabia

Identifiers

PMID38358175
PMCPMC10922172

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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.