Cohort Profile: West China Health and Aging Trend (WCHAT)

Author(s):  
L. Hou ◽  
X. Liu ◽  
Y. Zhang ◽  
W. Zhao ◽  
X. Xia ◽  
...  
Keyword(s):  
2021 ◽  
Vol 12 ◽  
Author(s):  
Mengting Yin ◽  
He Zhang ◽  
Qianhui Liu ◽  
Fei Ding ◽  
Yiping Deng ◽  
...  

BackgroundSarcopenia is an age-related and skeletal muscle disorder involving the loss of muscle mass or strength, and physiological function. Although the diagnostic indicators used in the different guidelines are for muscle mass, strength and physical performance, there are currently no uniform diagnostic criteria. Therefore, we aimed to explore the relationship between a series of biomarkers with sarcopenia in southwest China.MethodsWe included 4302 patients from West China Health and Aging Trend (WCHAT) study. Sarcopenia was defined according to the Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. Thyroxine、albumin、total protein、prealbumin、albumin to globulin ratio (A/G)、25(OH)VD、fasting insulin、adrenal cortisol、triglyceride、high-density lipoprotein、hemoglobin and aspartate aminotransferase to alanine aminotransferase ratio (AST/ALT) were measured. The receiver operating characteristic curves (ROC) were established to describe the predictive value for sarcopenia and we also used multivariate logistic regression analysis to identify risk factors of the disease.ResultsIn terms of protein state, patients with sarcopenia had lower value in total protein, albumin, prealbumin, A/G than the control (P<0.001). Patients had lower value in triglyceride but higher value in high-density lipoprotein compared with the healthy in the indicators of lipid metabolism (P<0.001). In the aspect of hormone state, patients had lower free triiodothyronine, fasting insulin but higher free tetraiodothyronine and adrenal cortisol than the healthy (P<0.001). The fasting insulin level (AUC=0.686) and the AST/ALT ratio (AUC=0.682) were the best predictors of sarcopenia among biomarkers. The diagnostic performance of fasting insulin combined with the AST/ALT ratio (AUC=0.720) is equal to multiple indicators (AUC=0.742).ConclusionThe fasting insulin combined with the AST/ALT ratio exhibits good diagnostic performance for sarcopenia.


2020 ◽  
Vol 24 (4) ◽  
pp. 423-428 ◽  
Author(s):  
Y. Zhang ◽  
M. Ge ◽  
W. Zhao ◽  
L. Hou ◽  
X. Xia ◽  
...  

2020 ◽  
Vol 277 ◽  
pp. 970-976
Author(s):  
Wanyu Zhao ◽  
Yan Zhang ◽  
Xiaolei Liu ◽  
Jirong Yue ◽  
Lisha Hou ◽  
...  

2021 ◽  
Vol 92 ◽  
pp. 104262
Author(s):  
Wan-yu Zhao ◽  
Yan Zhang ◽  
Li-sha Hou ◽  
Xin Xia ◽  
Mei-ling Ge ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yunli Zhao ◽  
Ying Lu ◽  
Wanyu Zhao ◽  
Yanyan Wang ◽  
Meiling Ge ◽  
...  

Abstract Objective To investigate the association between sleep duration and cognitive frailty among older adults dwelling in western China. Methods We used the baseline data from West China Health and Aging Trend (WCHAT) study. Sleep duration was classified as short sleep duration (< 6 h), normal sleep duration (6–8 h) and long sleep duration (≥ 9 h). Fried frailty criteria and Short Portable Mental Status Questionnaire were used to measure cognitive frailty. Multinomial logistic regression was conducted to estimate odds ratio (OR) and 95% confidence interval (CI). Results A total of 4093 older adults (age = 67.8 ± 5.9 years, 1708 males and 2385 females) were included in the analysis. The prevalence of cognitive frailty was 11.8% among older adults in western China. Approximately 11.9% participants had short sleep duration (< 6 h); 22.2% had a long sleep duration (≥ 9 h). After adjusting for covariates, only long sleep duration was significantly associated with high risk of cognitive frailty (OR = 2.07, 95%CI = 1.60–2.68, P <  0.001) in western China older adults compared to normal sleep duration. Conclusions Long sleep duration was significantly related to cognitive frailty in older adults. Intervention for long sleep duration may be helpful to prevent cognitive frailty. Trial registration Chinese Clinical Trial Registry: ChiCTR1800018895.


2010 ◽  
Author(s):  
Ernest Volinn ◽  
Bangxiang Yang ◽  
Jing He ◽  
Xiaoming Sheng ◽  
Jian Ying ◽  
...  

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