Evidence map›Paper›PMID 37497197›Full record

ReviewPostepy psychiatrii neurologii2023

Body mass index and sleep disturbances: a systematic review and meta-analysis.

Sohrab Amiri

Open access · diamondAbstract readReview
In one paragraph

Review in Postepy psychiatrii neurologii, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 20 citations in OpenAlex.

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  18. Observational
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  20. Correlates of Restless Legs Syndrome in Older People.Journal of clinical medicine · 2024
    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

1 author at 1 institution in 1 country.

Sohrab AmiriMedicine, Quran and Hadith Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-0297-0142
Baqiyatallah University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Overweight and obesity have been common non-communicable diseases in recent years that have far-reaching health effects. This study aimed to study the risk of sleep disturbances based on overweight and obesity using a systematic review and meta-analysis. Views: Three sources of scientific information, namely PubMed, Scopus, and Embase, were selected as scientific databases and searched for articles published in English until May 2021. Also, a manual search on related articles was done. The resulting data required a meta-analysis based on odds ratios, which were extracted and then pooled. The odds ratio was calculated based on the random-effects method. Publication bias and the degree of heterogeneity were studied. Twenty-one longitudinal studies were selected for this meta-analysis. The odds ratio (OR) in this association between body mass index (BMI) ≥ 25 and sleep disturbances was 1.33 and the confidence interval (CI) was between 1.16-1.51. This OR was 1.12 and CI was between 0.98-1.29 in overweight. The OR was 1.24 and CI was between 1.07-1.44 in obesity. The OR was 1.92 and CI was between 0.89-4.15 in men. The OR was 1.47 and CI was between 1.15-1.89 in women. Publication bias and heterogeneity were evident in the meta-analysis. Conclusions: Obesity increases the risk of sleep disturbances in the long term, and both obesity and sleep disturbances have negative effects on health, so it is necessary to develop appropriate interventions to improve obesity.

Indexed as

meta-analysisobesityoverweightsleep disturbancessystematic review

Identifiers

PMID37497197
PMCPMC10367528
OpenAlexW4384570549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.