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中国老年人体型及其对无症状靶器官损害的影响:上海北部研究
Authors Xiong J, Qian Y, Yu S, Ji H, Teliewubai J, Chi C, Lu Y, Zhou Y, Fan X, Li J, Blacher J, Zhang Y, Xu Y
Received 21 January 2021
Accepted for publication 13 April 2021
Published 21 May 2021 Volume 2021:16 Pages 887—895
DOI https://doi.org/10.2147/CIA.S302468
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Prof. Dr. Zhi-Ying Wu
Objective: To investigate the relationship between asymptomatic target organ damage (TOD) and different somatotypes in a population of elderly from Chinese community-dwelling.
Methods: A total of 2098 Chinese senior residents from northern Shanghai older than 65 years were recruited in the research. The following somatotype parameters were recorded and analyzed: body mass index, waist circumference, hip circumference, and waist-hip ratio were recorded and calculated. Asymptomatic TOD, including urine albumin/creatinine ratio, estimated glomerular filtration rate (eGFR), intima-media thickness (IMT), left ventricular mass index (LVMI), left ventricular diastolic function, and carotid-femoral pulse wave velocity (PWV) was recorded using the MyLab30 Gold CV system and SphygmoCor.
Results: Of all 2098 residents, 817 (38.9%) were overweight and 289 (13.8%) were obese. All somatotype measures were significantly correlated with TOD parameters (p< 0.05). After adjustment for age and male gender, in total population, LVMI (p< 0.001), cardiac diastolic function (E/Ea, p< 0.001), PWV (p< 0.001), eGFR (p=0.03), and urine albumin/creatinine ratio (p< 0.001) changed gradually and significantly correlated with increasing BMI values. Obesity and overweight were independently related to the incidence of LVH, LVDD, artery stiffness, carotid arterial plaque, and microalbuminuria.
Conclusion: The incidence of asymptomatic TOD was significantly correlated with overweight and obesity, especially in women, whereas the underweight may favor in the prevention of TOD.
Keywords: Chinese elderly cardiovascular risk