Evidence map›Paper›PMID 40018118›Full record

ArticleBMJ public health2024

Associations between lifestyle factors and COVID-19 infection rates: a cross-sectional analysis in the USA.

Razaz Shaheen, W Lawrence Beeson, Michael Paalani, Hildemar Dos Santos, Abdullah Alismail, Rhonda K Spencer-Hwang

Abstract read
In one paragraph

Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Razaz ShaheenPreventive care, Loma Linda University Health, Loma Linda, California, USA.ORCID 0000-0003-4826-8383
W Lawrence BeesonEpidemiology and Biostatistics, Loma Linda University Health, Loma Linda, California, USA.
Michael PaalaniPreventive care, Loma Linda University Health, Loma Linda, California, USA.
Hildemar Dos SantosPreventive care, Loma Linda University Health, Loma Linda, California, USA.
Abdullah AlismailDepartment of Cardiopulmonary Sciences, Loma Linda University Health, Loma Linda, California, USA.ORCID 0000-0002-7844-8943
Rhonda K Spencer-HwangEpidemiology, Loma Linda University Health, Loma Linda, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic has underscored the vital connection between lifestyle factors and health outcomes, highlighting the need to understand how lifestyle choices influence both chronic and infectious diseases. Despite known links between lifestyle factors and chronic diseases, the relationship between these factors and infectious diseases like COVID-19 warrants further investigation. Methods: This cross-sectional study used an anonymous survey collected from a diverse sample of US residents aged 18 or older. Excluding individuals under 18 or residing outside the USA, the survey captured data on diet, body mass index, smoking status, alcohol consumption, physical activity, sleep duration, COVID-19 infection status, socio-demographics and other potential confounders. Statistical analysis was performed using χ Results: Among 1032 participants, the prevalence of COVID-19 was higher in women (42.8%) compared with men (32.0%). Significant associations were found between inadequate sleep (less than 4 hours per day) and increased risk of COVID-19 in both genders (OR=2.89, 95% CI: 1.13 to 7.35, p=0.02 for men; OR=5.69, 95% CI: 3.14 to 10.29, p<0.00 for women). Additionally, a significant association was observed between a lifestyle index, incorporating multiple lifestyle factors and COVID-19 infection in women (OR=1.79, 95% CI: 1.05 to 3.025, p=0.03). Conclusions: The findings indicate a potential link between lifestyle factors and susceptibility to COVID-19, with inadequate sleep identified as a significant risk factor. These results suggest that promoting a healthy lifestyle could be an effective strategy for controlling the pandemic and mitigating the impact of infectious diseases. Further research is recommended to explore the role of restful sleep in preventing COVID-19 for men and women (including multiple lifestyle factors among women).

Indexed as

Community HealthCOVID-19Infectious Disease Incubation PeriodPublic Health

Identifiers

PMID40018118
PMCPMC11812904

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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.