Cholesterol alone or in combination is associated with frailty among community-dwelling older adults: A cross-sectional study

被引:7
作者
Yin, Mingjuan [1 ]
Zhang, Xiaoxia [1 ]
Zheng, Xueting [1 ]
Chen, Chao [1 ]
Tang, Hao [2 ]
Yu, Zuwei [3 ]
He, Xiuping [1 ]
Jing, Wenyuan [1 ]
Tang, Xinming [1 ]
Xu, Xuya [1 ]
Ni, Jindong [1 ,4 ]
机构
[1] Guangdong Med Univ, Sch Publ Hlth, Dongguan, Peoples R China
[2] Dongguan Guancheng Hosp, Teaching & Res Dept, Dongguan 523000, Peoples R China
[3] Dalang Town Community Hlth Serv Ctr, Publ Hlth Off, Dongguan, Peoples R China
[4] Guangdong Med Univ, Sch Publ Hlth, 1 Xincheng Rd, Dongguan 523808, Peoples R China
关键词
Frailty; Aged; Cholesterol; Biomarker; CARDIOVASCULAR RISK-FACTORS; BIG DATA; HEALTH; MORTALITY; INFLAMMATION; HEMOGLOBIN; MANAGEMENT; PEOPLE; AGE;
D O I
10.1016/j.exger.2023.112254
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background: Biological markers contribute to the precise intervention across the continuum of frailty severity. Few studies have explored the advantages of biological markers collected as part of primary care data among community-dwelling older adult population and controversy remains regarding the classic biological markers for frailty.Methods: We recruited a total of 8791 adults with a mean age of 71.95 years who met the inclusion and exclusion criteria in Guancheng District and Dalang Town, Dongguan, China. Frailty was assessed by a Chinese frailty evaluation scale. Frailty status was classified with 33-item modified frailty index and latent class analysis was applied to explore the latent classes (subtypes) of frailty. We measured biological markers on blood samples collected. We identify association between specific biological markers or patterns and frailty by logistic regression and association rule mining (ARM) based on the Apriori algorithm.Results: Multivariable analysis of our data showed that an elevated white blood cell (WBC) count and high cholesterol (CHOL) level were associated with pre-frailty (adjusted odds ratio [aOR] = 1.231, 95 % confidence interval [CI] = 1.009-1.501; aOR = 0.703, 95 % CI = 0.623-0.793) and frailty (aOR = 1.500, 95 % CI = 1.130-1.993; aOR = 0.561, 95 % CI = 0.461-0.684) compared with the normal groups. Importantly, significantly high level of CHOL was associated with a lower risk of four frailty subtypes compared with relatively healthy participants with the most power of association in the multi-frail group (aOR = 0.182, 95 % CI = 0.086-0.386). Based on ARM technique to develop correlation analysis to identify important high-risk clusters among older adult transitions from non-frail to frailty, patterns for normal level of CHOL co-occurred with an elevated creatinine (CREA) level have a significant association with the risk of frailty (aOR = 7.787, 95 % CI = 1.978-30.648) after adjusting for targeted confounders. Conclusions: Our study highlights the correlation between classic biological markers, especially CHOL and frailty status and subtypes among community-dwelling older adult, in the primary care setting. Further large-scale prospective studies are still needed to confirm the role of classic biological markers in frailty.
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页数:10
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