Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. 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.
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
8 authors.
Jillian S BakerDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0001-5472-6315
Michelle M HoodDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0002-1049-8426
Leslie M SwansonDepartment of Psychiatry, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0002-1720-1760
Christopher E KlineDepartment of Health and Human Development, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.ORCID 0000-0003-1025-9430
Kelly R YlitaloDepartment of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, Texas, United States.ORCID 0000-0002-1474-6781
Jane A CauleyDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.ORCID 0000-0003-0752-4408
Robin R GreenSaul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, United States.
Carrie A Karvonen-GutierrezDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0002-1950-5397
Funding
The Study of Women's Health Across the Nation (SWAN): The Impact of Midlife and the Menopause Transition on Health and Functioning in Early Old AgeU19AG063720 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SHERRI-ANN M BURNETT-BOWIE · 2020 to 2026
$61.3M
WOMENS HEALTH ACROSS THE NATION--COORDINATING CENTERU01AG012553 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BROOKS, MARIA MORI · 1994 to 2019
$37.7M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
WOMENS HEALTH ACROSS THE NATION--ENDOCRINE LABU01AG012495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCONNELL, DANIEL S · 1994 to 2018
$18.8M
WOMENS HEALTH ACROSS THE NATION--PITTSBURGHU01AG012546 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MATTHEWS, KAREN · 1994 to 2019
$16.2M
WOMENS HEALTH ACROSS THE NATION--UCDAVISU01AG012554 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI GOLD, ELLEN B. · 1994 to 2019
$14.5M
WOMENS HEALTH ACROSS THE NATION--UCLAU01AG012539 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREENDALE, GAIL A · 1994 to 2018
$13.7M
THE STUDY OF WOMEN'S HEALTH ACROSS THE NATION-MICHIGANU01NR004061 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARLOW, SIOBAN D · 1994 to 2018
$12.9M
WOMENS HEALTH ACROSS THE NATION--CHICAGOU01AG012505 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI KRAVITZ, HOWARD M · 1994 to 2019
$11.9M
WOMENS HEALTH ACROSS THE NATION--MASSACHUSETTS GENERAL HU01AG012531 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI FINKELSTEIN, JOEL S · 1994 to 2019
$10.7M
Women's Health Across the Nation-New Jersey SiteU01AG012535 · NIA · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI DERBY, CAROL A. · 1994 to 2019
$9.2M
Interdisciplinary Research Training on Health and AgingT32AG027708 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lindsay C Kobayashi, Briana Mezuk · 2008 to 2026
backgroundAs the leading cause of injury and injury-related death for older adults in the United States, falls can be consequential for function and mortality but are preventable. Sleep may be a modifiable risk factor for falls.
methodsData from 1795 female participants of the Study of Women's Health Across the Nation (SWAN) were analyzed to examine whether frequent insomnia symptoms and shorter sleep duration are associated with an increased risk of falls or fall burden. At visit 12, assessed insomnia symptoms included frequency of restless sleep, trouble falling asleep, and waking early. Sleep duration was self-reported hours of sleep, dichotomized as fewer than <6 h/night and ≥6 h/night. At visit 15, participants reported the falls in the year prior. Log-binomial and multinomial logistic regression models were adjusted for demographic, health, and socioeconomic factors.
resultsWomen who reported frequent (5+ times/week) trouble falling asleep and frequent waking at baseline had a 30% increased risk (aRR = 1.30, 95% CI, 1.04-1.62) and 24% increased risk (aRR = 1.24, 95% CI, 1.03-1.49), respectively, of having fallen in the year prior at follow-up. Frequent trouble falling asleep and short sleep duration (<6 h) were both associated with higher odds of falling 3 or more times vs once or never prior to follow-up (aOR = 2.42, 95% CI, 1.26-4.63; aOR = 1.77, 95% CI, 1.08-2.93), respectively.
conclusionsMultiple indicators of poor sleep, including trouble falling asleep, frequent waking, and short sleep duration, were associated with an increased risk of falling and odds of higher fall burden in older adult women. Promoting adequate, high-quality sleep may be an essential component in fall prevention.
Indexed as
Accidental FallsSleepSleep Initiation and Maintenance DisordersAgedAged, 80 and overFemaleHumansMiddle AgedRisk FactorsSleep DurationTime FactorsUnited StatesWomen's HealthFallsInsomniaOlder adultsSleepSleep duration
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.
Insomnia symptoms, sleep duration, and risk of falls in older adult women: findings from the Study of Women's Health Across the Nation. · full record | OpenQuestion