Evidence map›Paper›PMID 38843039›Full record

SynthesisJournal of global health2024

The global and regional prevalence of restless legs syndrome among adults: A systematic review and modelling analysis.

Peige Song, Jing Wu, Jin Cao, Weidi Sun, Xiaoyu Li, Tianjing Zhou, Yaojia Shen, Xiao Tan, Xinxin Ye, Changzheng Yuan and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

13 authors.

Peige SongDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jing WuSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Jin CaoSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Weidi SunSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Xiaoyu LiDepartment of Sociology, Tsinghua University, Beijing, China.
Tianjing ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Yaojia ShenDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Xiao TanSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Xinxin YeDepartment of Sports and Exercise Science, College of Education, Zhejiang University, Hangzhou, Zhejiang, China.
Changzheng YuanDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yajie ZhuSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.
Igor RudanCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Global Health Epidemiology Research Group (GHERG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Restless legs syndrome (RLS) is a prevalent neuro-sensory disorder that impairs quality of life. In this systematic review and modelling study, we estimated the global and regional prevalence of RLS and its associated factors. Methods: We searched PubMed, Embase, and Medline for population-based studies on RLS prevalence published up to 12 November 2023. The included studies reported prevalence using the International Restless Leg Syndrome Study Group's (IRLSSG) minimal diagnostic criteria without limitations on frequency, duration, or severity. We applied a multilevel multivariable mixed-effects meta-regression to generate the age-specific and sex-specific prevalence of RLS for high socio-demographic index (H-SDI) and low and middle socio-demographic index (LM-SDI) regions. We pooled odds ratios (ORs) for RLS associated factors using random-effects models. Finally, we derived the regional prevalence and cases of RLS based on an associated factor-based model. Results: From 52 articles across 23 countries, the global RLS prevalence in 2019 was estimated to be 7.12% (95% confidence interval (CI) = 5.15-9.76) among adults 20-79 years of age, equating to 356.07 million (95% CI = 257.61-488.09) affected individuals. Prevalence was similar in H-SDI (7.29%; 95% CI = 5.04-10.41) and LM-SDI (7.10%; 95% CI = 5.16-9.70) regions, with the majority of cases in LM-SDI countries (323.06 million; 90.73%). Europe had the highest (7.60%; 95% CI = 5.44-10.52) and Africa the lowest regional prevalence (6.48%; 95% CI = 4.70-8.87). The Western Pacific Region, meanwhile, had the most cases (111.91 million; 95% CI = 80.93-153.42). Factors positively associated with RLS included advanced age (OR = 1.13; 95% CI = 1.04-1.24), smoking (OR = 1.46; 95% CI = 1.29-1.64), depression (OR = 1.71; 95% CI = 1.26-2.32), and diabetes (OR = 1.54; 95% CI = 1.19-1.97). Conclusions: A considerable global burden of RLS exists. Effective strategies are needed to increase awareness and optimise resource allocation to address this often-overlooked condition. High-quality epidemiological investigations employing standardised and rigorous criteria for RLS are essential for addressing RLS burden more effectively. Registration: PROSPERO: CRD42020161860.

Indexed as

Global HealthRestless Legs SyndromeAdultAgedHumansMiddle AgedPrevalence

Identifiers

PMID38843039
PMCPMC11156251

What OpenQuestion holds

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LicenceCC BY
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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.