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Association of metabolic syndrome severity with frailty progression among Chinese middle and old-aged adults: a longitudinal study. | LitMetric

Association of metabolic syndrome severity with frailty progression among Chinese middle and old-aged adults: a longitudinal study.

Cardiovasc Diabetol

Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.

Published: August 2024

AI Article Synopsis

  • The study examines how the severity of Metabolic Syndrome (MetS) affects the progression of frailty in middle-aged and elderly people in China, highlighting that the traditional binary diagnosis of MetS is insufficient for evaluating its severity.
  • Researchers utilized data from the China Health and Retirement Longitudinal Study (CHARLS) and created a frailty index based on 32 health factors to analyze the relationship between MetS scores and frailty risk over time.
  • Findings reveal that higher MetS scores significantly increase the risk of developing frailty and accelerate frailty progression, demonstrating a clear dose-response relationship between MetS severity and frailty outcomes.

Article Abstract

Background: The binary diagnosis of Metabolic Syndrome(MetS) fails to accurately evaluate its severity, and the association between MetS severity and frailty progression remains inadequately elucidated. This study aims to clarify the relationship between the severity of MetS and the progression of frailty among the middle-aged and elderly population in China.

Method: Participants from the 2011-2018 China Health and Retirement Longitudinal Study(CHARLS) were included for a longitudinal analysis. The study employs a frailty index(FI) based on 32 health deficits to diagnose frailty and to assess FI trajectories. An age-sex-ethnicity-specific MetS scoring model (MetS score) was used to assess metabolic syndrome severity in Chinese adults. The Cumulative MetS score from 2012 to 2015 was calculated using the formula: (MetS score in wave 1 + MetS score in wave 3) / 2 × time(2015 - 2012). The association between MetS score, Cumulative MetS score, and the risk and trajectory of frailty were evaluated using Cox regression/logistic regression, and linear mixed models. Restricted Cubic Splines(RCS) models were utilized to detect potential non-linear associations.

Results: A higher MetS score was significantly associated with an increased risk of frailty(HR per 1 SD increase = 1.205; 95%CI: 1.14 to 1.273) and an accelerated FI trajectory(β per 1 SD increase = 0.113 per year; 95%CI: 0.075 to 0.15 per year). Evaluating changes in MetS score using a Cumulative MetS score indicated that each 1 SD increase in the Cumulative MetS score increased the risk of frailty by 22.2%(OR = 1.222; 95%CI: 1.133 to 1.319) and accelerated the rate of increase in FI(β = 0.098 per year; 95%CI: 0.058 to 0.138 per year). RCS model results demonstrated a dose-response curve relationship between MetS score and Cumulative MetS score with frailty risk. Stratified analysis showed consistency across subgroups. The interaction results indicate that in males and individuals under aged 60, MetS score may accelerate the increase in FI, a finding consistent across both models.

Conclusions: Our findings underscore the positive correlation between the severity of MetS and frailty progression in the middle-aged and elderly, highlighting the urgent need for early identification of MetS and targeted interventions to reduce the risk of frailty.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11329990PMC
http://dx.doi.org/10.1186/s12933-024-02379-9DOI Listing

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