What does this research mean for the field?

Baseline circadian syndrome and a greater burden of its components are significantly associated with unfavorable frailty trajectories and a faster increase in frailty over time among middle-aged and older adults. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To examine the longitudinal relationship between circadian syndrome, its specific component burden, and frailty progression trajectories in middle-aged and older adults.

September 10, 2026Experimental GerontologyOpen Access

Association between circadian syndrome and frailty progression among middle-aged and older adults in China: A longitudinal study based on CHARLS

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Authors

FYFeng YeHangzhou Normal University YZYiying ZhuHangzhou Normal University JDJiaolan DuHangzhou Normal University

Discussion

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Implication

Longitudinal cohort study reveals that circadian syndrome accelerates frailty progression in older adults, highlighting disrupted biological rhythms as key drivers of physical decline.

Key Points

To examine the longitudinal relationship between circadian syndrome, its specific component burden, and frailty progression trajectories in middle-aged and older adults.
Analyzed data from 7,330 participants enrolled in the China Health and Retirement Longitudinal Study (CHARLS), evaluating circadian syndrome (CircS) across seven cardiometabolic components.
Identified frailty trajectories over time using group-based trajectory modeling based on the frailty index (FI), assessing associations with multinomial logistic regression and linear mixed-effects models.
Identified three distinct frailty trajectories: low-stable (63.71%, n=4,670), moderate-rising (28.77%, n=2,109), and high-stable (7.52%, n=551).
Baseline CircS significantly increased the risk of falling into the moderate-rising trajectory (RRR = 2.48, 95% CI: 2.17 to 2.84, p < 0.001) and the high-stable trajectory (RRR = 4.37, 95% CI: 3.51 to 5.45, p < 0.001).
Having 4, 5, and ≥6 CircS components led to additional annual increases in FI of 0.0022 (95% CI: 0.0011 to 0.0033, p < 0.001), 0.0020 (95% CI: 0.0007 to 0.0033, p < 0.01), and 0.0033 (95% CI: 0.0016 to 0.0049, p < 0.001), respectively, compared to fewer than 4 components.

Cite This Study

Ye et al. (2026) studied this question.

synapsesocial.com/papers/6aa27a7f58559d80afc73115 https://doi.org/10.1016/j.exger.2026.113309

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September 10, 2026Experimental GerontologyOpen Access

Association between circadian syndrome and frailty progression among middle-aged and older adults in China: A longitudinal study based on CHARLS

View Full Paper

Ask AI

Bookmark

Authors

FYFeng YeHangzhou Normal University YZYiying ZhuHangzhou Normal University JDJiaolan DuHangzhou Normal University

Discussion

Member takes

Implication

Longitudinal cohort study reveals that circadian syndrome accelerates frailty progression in older adults, highlighting disrupted biological rhythms as key drivers of physical decline.

Key Points

To examine the longitudinal relationship between circadian syndrome, its specific component burden, and frailty progression trajectories in middle-aged and older adults.
Analyzed data from 7,330 participants enrolled in the China Health and Retirement Longitudinal Study (CHARLS), evaluating circadian syndrome (CircS) across seven cardiometabolic components.
Identified frailty trajectories over time using group-based trajectory modeling based on the frailty index (FI), assessing associations with multinomial logistic regression and linear mixed-effects models.
Identified three distinct frailty trajectories: low-stable (63.71%, n=4,670), moderate-rising (28.77%, n=2,109), and high-stable (7.52%, n=551).
Baseline CircS significantly increased the risk of falling into the moderate-rising trajectory (RRR = 2.48, 95% CI: 2.17 to 2.84, p < 0.001) and the high-stable trajectory (RRR = 4.37, 95% CI: 3.51 to 5.45, p < 0.001).
Having 4, 5, and ≥6 CircS components led to additional annual increases in FI of 0.0022 (95% CI: 0.0011 to 0.0033, p < 0.001), 0.0020 (95% CI: 0.0007 to 0.0033, p < 0.01), and 0.0033 (95% CI: 0.0016 to 0.0049, p < 0.001), respectively, compared to fewer than 4 components.

Cite This Study

Ye et al. (2026) studied this question.

synapsesocial.com/papers/6aa27a7f58559d80afc73115 https://doi.org/10.1016/j.exger.2026.113309

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