scholarly journals The relationship between Plasma Markers and Essential Hypertension in Middle-aged and Elderly Chinese Population: A Community Based Cross-sectional Study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Tesfaldet Habtemariam Hidru ◽  
Xiaolei Yang ◽  
Yunlong Xia ◽  
Li Ma ◽  
Hui-Hua Li
2021 ◽  
Author(s):  
Jian-Yu Tan ◽  
Qing-Lian Zeng ◽  
Meng Ni ◽  
Ying-Xiao Zhang ◽  
Tian Qiu

Abstract Background: Depression and sarcopenia are common diseases in the elderly population. However, the association between them is controversial. Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) database, a cross-sectional study was conducted to explore the relationship between calf circumference, physical performance, and depression.Methods: From the 8th wave of CLHLS conducted in 2018, data on calf circumference, physical performance, depressive symptoms, and demographic, socioeconomic, and health-related characteristics were collected. A statistical analysis was conducted to explore the relationship between calf circumference, physical performance, and depressive symptoms. Confounding factors were adjusted for in the multiple logistic regression analysis.Results: A total of 12,227 participants, including 5689 (46.5%) men and 6538 (53.5%) women (mean age, 83.4 years), were included in this study. After adjusting for confounding factors, the association between calf circumference and depression disappeared (odds ratio [OR] = 1.04, 95% confidence interval [CI]: 0.92–1.17, p = 0.58). However, a significant inverse correlation persisted between physical performance and depressive symptoms (OR = 1.16, 95% CI: 1.13–1.20, p<0.001). The subgroup analysis revealed a significant association of calf circumference (OR = 1.3, 95% CI: 1.04–1.62, p = 0.02) and physical performance (OR = 1.15, 95% CI: 1.08–1.22, p < 0.001) with depression in the regular exercise group.Conclusions: Physical performance was significantly associated with depression in the elderly Chinese population. Attention should be paid to assess depressive symptoms in patients with poor muscle condition.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yumei Yang ◽  
Baomin Wang ◽  
Haoyue Yuan ◽  
Xiaomu Li

Objective. Insulin resistance (IR) is closely associated with metabolic profiles, including obesity and dyslipidemia. The aim of the present study was to examine how lipid profiles were associated with IR in nonobese middle-aged and elderly Chinese population. Methods. This cross-sectional study included 1608 subjects. IR was defined by homeostasis model assessment of insulin resistance (HOMA-IR) of at least 2.5. Results. In nonobese subjects (body mass index (BMI) < 25 kg/m2, n = 996), triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio (odds ratio (OR) = 1.43, 95% confidence interval (CI) 1.13–1.81, P = 0.003 ) was an independent risk factor for IR. The best marker for predicting IR in nonobese subjects was TG/HDL-C ratio with the areas under the receiver operating characteristic curves (AUC) of 0.73 ( P < 0.001 ). The optimal cut-off point to identifying IR for TG/HDL-C ratio was ≥1.50 in the nonobese population. Other markers like BMI, TG, and total cholesterol (TC)/HDL-C also had acceptable discriminatory power for predicting IR in nonobese population (AUC ≥ 0.7 and P < 0.001 ). BMI had the highest AUC of 0.647 ( P < 0.001 ) after being adjusted, but it was not effective enough to predict IR in obese subjects (BMI ≥ 25.0, n = 612). Conclusions. The TG/HDL-C ratio may be the best reliable marker for predicting IR in the nonobese middle-aged and elderly Chinese population.


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