Associations between sleep duration and quality and physical frailty in community-dwelling older adults: a cross-sectional study

The effects of sleep duration and quality on physical frailty may differ. We examined the association between sleep duration/quality and frailty phenotype according to frailty components. This cross-sectional study analyzed 848 community-dwelling Japanese adults aged 65-75 years (mean age 70.8 yrs, 50.1% women) without long-term care needs. We classified the participants by their sleep duration: short-, middle-, and long-sleep groups. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) and divided into PSQI ≤ 5, 6-8, and ≥ 9 groups. Physical frailty was operationalized with the Fried phenotype. A logistic regression model was used to compute the odds ratios (ORs) and 95% confidence interval (CIs) for frailty status outcomes. The prevalence of frailty was 4.7%. The ORs for the presence of frailty in the long-sleep group was 8.50 (95%CI: 2.82-25.62) compared to the middle-sleep group, and the PSQI ≥ 9 group was 2.81 (95%CI: 1.08-7.33) compared to the PSQI ≤ 5 group. Short sleep and poor sleep quality were associated with exhaustion; long sleep was associated with low physical activity. The duration and quality of sleep may thus have different effects on frailty components. The possible causal relationship between sleep duration/quality and frailty merits further investigation.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-03-13
DOI
https://doi.org/10.1038/s41598-025-93069-3
Citations
5
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
6.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations between sleep duration and quality and physical frailty in community-dwelling older adults: a cross-sectional study

Tsubasa Yokote, Takafumi Saito, Xin Liu, Hiro Kishimoto et al.
5 citations
Scientific Reports
Frailty in Older Adults
6.12
article

Associations between sleep duration and quality and physical frailty in community-dwelling older adults: a cross-sectional study

Tsubasa Yokote, Takafumi Saito, Xin Liu, Hiro Kishimoto, Lefei Wang, Harukaze Yatsugi, Cen Chen
article en
5 citations

Abstract

The effects of sleep duration and quality on physical frailty may differ. We examined the association between sleep duration/quality and frailty phenotype according to frailty components. This cross-sectional study analyzed 848 community-dwelling Japanese adults aged 65-75 years (mean age 70.8 yrs, 50.1% women) without long-term care needs. We classified the participants by their sleep duration: short-, middle-, and long-sleep groups. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) and divided into PSQI ≤ 5, 6-8, and ≥ 9 groups. Physical frailty was operationalized with the Fried phenotype. A logistic regression model was used to compute the odds ratios (ORs) and 95% confidence interval (CIs) for frailty status outcomes. The prevalence of frailty was 4.7%. The ORs for the presence of frailty in the long-sleep group was 8.50 (95%CI: 2.82-25.62) compared to the middle-sleep group, and the PSQI ≥ 9 group was 2.81 (95%CI: 1.08-7.33) compared to the PSQI ≤ 5 group. Short sleep and poor sleep quality were associated with exhaustion; long sleep was associated with low physical activity. The duration and quality of sleep may thus have different effects on frailty components. The possible causal relationship between sleep duration/quality and frailty merits further investigation.

Scientific ReportsVol. 15(1)
Kyushu University (JP)
Openalex Percentile: Top 4%
Frailty in Older Adults
6.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.