Evidence map›Paper›PMID 26446243›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2016

Lifestyle Factors and Risk of Restless Legs Syndrome: Prospective Cohort Study.

Salma Batool-Anwar, Yanping Li, Katerina De Vito, Atul Malhotra, John Winkelman, Xiang Gao

Abstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Caffeine in Aging Brains: Cognitive Enhancement, Neurodegeneration, and Emerging Concerns About Addiction.International journal of environmental research and public health · 2025
    Review
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  15. Correlates of Restless Legs Syndrome in Older People.Journal of clinical medicine · 2024
    Article
  16. Review
  17. Article
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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

6 authors.

Salma Batool-AnwarDivision of Sleep Medicine, Department of Medicine (SB), Brigham and Women's Hospital, Boston, MA.
Yanping LiHarvard Medical School, Channing Division of Network Medicine, Boston, MA.
Katerina De VitoHarvard Medical School, Channing Division of Network Medicine, Boston, MA.
Atul MalhotraDivision of Pulmonary, Critical Care and Sleep Medicine UCSD La Jolla, La Jolla, CA.
John WinkelmanDepartment of Psychiatry/Sleep Medicine, Massachusetts General Hospital, Boston, MA.
Xiang GaoHarvard Medical School, Channing Division of Network Medicine, Boston, MA.

Funding

Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Single Motor Unit Genioglossus Recordings to Understand Sleep Apnea PathogenesisR01HL085188 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2008 to 2018
$3.5M
Training in the Next Generation in Respiratory ScienceT32HL134632 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL, POWELL, FRANK L. · 2017 to 2021
$2.1M
Prospective Study of Restless Leg SyndromeR01NS062879 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI GAO, XIANG · 2009 to 2011
$1.0M
Assessment of Upper Airway Mechanics Using Newer Electromyographic TechniquesK24HL132105 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2016 to 2020
$611k
NCI NIH HHS UM1CA167552NCI NIH HHS UM1 CA176726NHLBI NIH HHS K24 HL132105NHLBI NIH HHS R01 HL085188NHLBI NIH HHS T32 HL134632NINDS NIH HHS 5R01NS062879-02
6 · The paper itself

Abstract

STUDY

objectivesTo examine the association between modifiable lifestyle factors, and the risk of developing restless legs syndrome (RLS).

methodsThis is a Prospective Cohort study of population including 12,812 men participating in Health Professionals Follow-up Study and 42,728 women participating in the Nurses' Health study II. The participants were free of RLS at baseline (2002 for the HPFS and 2005 for the NHS II) and free of diabetes and arthritis through follow-up. RLS was assessed via a set of questions recommended by International Restless Legs Syndrome Study group. The Information was collected on height, weight, level of physical activity, dietary intake, and smoking status via questionnaires.

resultsDuring 4-6 years of follow-up, we identified 1,538 incident RLS cases. Participants with normal weight, and who were physically active, non-smoker, and had some alcohol consumption had a lower risk of developing RLS. When we combined the effects of these four factors together, we observed a dose response relationship between the increased number of healthy lifestyle factors and a low risk of RLS: after adjusting for potential confounders the pooled odds ratio was 0.67 (95% CI: 0.47-0.97) for 4 vs.0 healthy factors (p trend < 0.001). In contrast, we did not observe significant associations between caffeine consumption or diet quality as assessed by the Alternate Healthy Eating Index, and altered RLS risk in men and women.

conclusionsSeveral modifiable lifestyle factors may play an important role in RLS risk.

Indexed as

Alcohol DrinkingBody Mass IndexCaffeineDietExerciseFemaleHumansLife StyleMaleMiddle AgedProspective StudiesRestless Legs SyndromeRisk FactorsSmokingSurveys and QuestionnairesCaffeinebehavioral modificationsepidemiologylifestyle factorsrestless legs syndromerisk factors

Identifiers

PMID26446243
PMCPMC4751426

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.