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Background: Subjective well-being (SWB) is a crucial measure of life quality in older adults. Understanding its relationship with frailty may inform strategies to promote healthy aging.
Methods: We analyzed data for older adults aged ≥60 years old from Waves 3 and 4 of the China Health and Retirement Longitudinal Study. SWB was measured based on participants' self-reported overall satisfaction with life. A frailty index was developed using the deficit accumulation approach. We conducted a cross-sectional Poisson regression to investigate the relationship between SWB and counts of frailty deficits. Additionally, we conducted a longitudinal analysis to determine the 3-year relative risk of clinically significant frailty progression or mortality for different levels of SWB. The analyses were adjusted for individual weights, including adjustments for household nonresponse.
Results: The cross-sectional analysis included 9 702 individuals. After adjusting for covariates, lower baseline life satisfaction was associated with higher counts of frailty deficits (mean deficit counts ratio [95% confidence interval]: 1.66 [1.54, 1.78] for "not satisfied" and 1.06 [1.02, 1.10] for "somewhat satisfied" relative to the reference "very satisfied"). The longitudinal analysis included 8 599 individuals. Participants who were "not satisfied" with life at baseline were at a greater risk of frailty progression compared with those who were "very satisfied" (risk ratio: 1.16 [1.00, 1.35]).
Conclusions: Our study finds that a lower level of SWB is associated with more severe frailty. It is also associated with frailty progression or death. These results emphasize that both psychological well-being and physical health are essential components of healthy aging.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11926984 | PMC |
http://dx.doi.org/10.1093/gerona/glaf001 | DOI Listing |
PLoS One
September 2025
Department of Medicine, The Red Rogers Centre for Heart Research, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Background: In order to seriously impact the global burden of heart failure (HF) and coronary artery disease (CAD), identifying at-risk individuals as early as possible is vital. Risk calculator tools in wide clinical use today are informed by traditional statistical methods that have historically yielded only modest prediction accuracy.
Methods: This study uses machine learning algorithms to generate predictions models for the development and progression of severe HF and CAD.
Infect Dis Ther
September 2025
Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Introduction: Cognitive frailty (CF), which typically precedes dementia and functional decline, serves as a more robust predictor of adverse health outcomes compared to physical frailty alone, representing a critical challenge in promoting healthy aging among older people living with HIV (PLWH) aged ≥ 50 years. This study aimed to investigate the prevalence of cognitive frailty and identify its associated factors among PLWH aged ≥ 50 years.
Methods: A convenience sample of 344 PLWH ≥ 50 years was recruited from a tertiary Grade A hospital in Zunyi, China.
J Neurooncol
September 2025
Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Purpose: Frailty measures are critical for predicting outcomes in metastatic spine disease (MSD) patients. This study aimed to evaluate frailty measures throughout the disease process.
Methods: This retrospective analysis measured frailty in MSD patients at multiple time points using a modified Metastatic Spinal Tumor Frailty Index (MSTFI).
Ther Apher Dial
September 2025
Department of Nephrology, Blood Purification Center, Fourth Medical Center of the Chinese PLA General Hospital, Beijing, China.
This review systematically summarizes the current status of cognitive frailty in maintenance hemodialysis patients, including its prevalence, assessment and diagnostic criteria, associated risk factors, and the clinical application status and progress of related risk prediction models both domestically and internationally. The analysis aims to provide methodological references for future development and implementation of cognitive frailty risk prediction models tailored to this specific patient population.
View Article and Find Full Text PDFAm J Prev Med
September 2025
School of Business, Renmin University of China, 59 Zhongguancun Street, Haidian District, Beijing 100872, China.
Introduction: Frailty and dementia are prevalent, interrelated conditions in aging populations; yet the temporal relationship between frailty progression and dementia risk remains underexplored. This study aimed to investigate how both baseline frailty and its subsequent changes over time are associated with the risk of incident dementia in three large prospective cohorts.
Methods: This study analyzed data from 25,357 participants in three prospective cohorts: China Health and Retirement Longitudinal Study (CHARLS) 2011-2020, U.