Evidence map›Paper›PMID 39834457›Full record

ArticleFrontiers in nutrition2024

Exploring lifestyle and dietary pattern shifts among Saudi adults during COVID-19 pandemic: insights from a cross-sectional examination.

Najlaa M Al-Mana, Tahani A Zareef, Fatmah A Albathi, Hala A Awney, Farah Baeshen, Renad Abdullah

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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. 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

6 authors.

Najlaa M Al-ManaCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Tahani A ZareefDepartment of Public Health, College of Health Sciences, Saudi Electronic University, Jeddah, Saudi Arabia.
Fatmah A AlbathiCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Hala A AwneyDepartment of Environmental Studies, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt.
Farah BaeshenCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Renad AbdullahCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since the emergence of COVID-19 and the subsequent imposition of lockdown and movement restrictions, the world has witnessed fundamental lifestyle changes including alterations in dietary patterns and food consumption habits. Here, we investigated how the COVID-19 lockdown impacted dietary patterns and eating behaviors in the Saudi population. Methodology: This cross-sectional study enrolled 427 participants aged 18 years or more, with 258 of them completing the survey. The survey included questions about demographic and dietary patterns during the COVID-19 lockdown. Data were collected and dietary behaviors before and during the lockdown in Jeddah, Saudi Arabia, were analyzed. Results: The number of participants who considered lunch as their primary meal significantly decreased ( Conclusion: Our results demonstrate that the COVID-19 lockdown caused a marked shift in dietary patterns and eating behaviors among the Saudi population. Notable changes were observed in overall food preferences after the lockdowns were imposed, with reduced consumption of fast foods and increased fluid intake.

Indexed as

COVID-19dietary patternlifestylelockdownpandemicSaudi population

Identifiers

PMID39834457
PMCPMC11743356

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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.