Evidence map›Paper›PMID 34548688›Full record

ArticleInternational social science journal

Impact of COVID-19 partial lockdown on household activities in a sample of Kuwaiti and Saudi populations.

Lubna Ahmed Al-Kazi, Maha Meshari Al-Sejari, Hend Batel Al-Ma'seb

Open access · bronzeAbstract read
In one paragraph

Article in International social science journal. 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
1.2field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Lubna Ahmed Al-KaziSociology at Sociology and Social Work Department College of Social Science, Kuwait University.
Maha Meshari Al-SejariAnthropology at Sociology and Social Work Department College of Social Science, Kuwait University.ORCID https://orcid.org/0000-0002-8053-0196
Hend Batel Al-Ma'sebSocial Work at Sociology and Social Work Department College of Social Science, Kuwait University.ORCID https://orcid.org/0000-0002-5930-5066
Kuwait University · KW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the World Health Organization (WHO) declared COVID-19 a global pandemic, partial lockdown has been used as a strict mechanism to constrain the spread of the disease. This study aims to investigate whether there are significant differences between socio-demographic variables and household and family activities before and during the partial lockdown in Kuwait and the Kingdom of Saudi Arabia due to the COVID-19 pandemic. A descriptive cross-sectional method was used in this study. Online surveys were distributed via WhatsApp to a convenience non-probability sample of 728 participants. The survey contained socio-demographic information and a 22-item questionnaire of activities that participants practiced before and during the partial lockdown. An IBM SPSS (25.0) package was utilised to analyse the data. The study found that males and homemakers reported obvious changes for both house and family activities before and during the lockdown. Participants between 40 and 49 years old reported higher scores for family activities before the lockdown. Married participants reported higher scores for house and family activities during the lockdown. The outcomes of this study demonstrate that under certain circumstances in society, cultural gender activities may change due to various reasons such as health precaution regulations, prevention policies, and social isolation.

Identifiers

PMID34548688
PMCPMC8447081
OpenAlexW3176040711

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.