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183 results on '"Yan, Yaqiong"'

3. Association of Alanine Transaminase and Aspartate Aminotransferase/Alanine Transaminase Ratio with Type 2 Diabetes and Metabolic Syndrome in the Elderly

Author

ZHOU Xiaoqi, LIU Xinhui, ZHANG Wei, LI Changfeng, YAN Yaqiong

Subjects
diabetes mellitus, type 2, metabolic syndrome, alanine transaminase, aspartate aminotransferase, aged, correlation study, Medicine
Abstract

Background Serum alanine transaminase (ALT) and aspartate aminotransferase (AST) are common liver enzymes, but there are few studies on the correlation of these enzymes with the prevalence of type 2 diabetes mellitus (T2DM) and metabolic syndrome (MS) . Objective To explore the association of serum ALT and AST/ALT ratio with T2DM and MS in older physical examinees in the community. Methods From January to December, 2018, 30 060 elderly people (≥65 years) who underwent free physical examination in 19 community health centers of 6 districts in Wuhan were chosen as the subjects. Their demographic data, life style, previous medical history, and results of physical examination and biochemical test were collected. Subjects were divided into quartile groups of ALT〔Q1 (ALT≤11 U/L, n=8 116), Q2 (11 U/L19 U/L, n=7 498) 〕, or quartile groups of AST/ALT ratio〔q1 (AST/ALT≤1.06, n=7 386), q2 (1.061.62, n=7 447) 〕. Cochran χ2 test was used to compare the prevalence trend of T2DM, MS, abdominal obesity, hypertension, elevated triglycerides (TG) and lowered high-density lipoprotein cholesterol (HDL-C) with the change of ALT level and AST/ALT ratio. Multivariate Logistic regression analysis was used to explore the correlation of prevalence of T2DM and MS with ALT level and AST/ALT ratio. Results The age of 30 060 subjects (13 381 men and 16 679 women) was 65-99 years old, and the average age was (71.7±5.6) years old. The prevalence of T2DM and MS was 18.76% (5 488/30 060) and 29.73% (8 938/30 060), respectively. The regular exercise rate, BMI, waist circumference, systolic pressure, diastolic pressure, ALT, TG and fasting plasma glucose (FPG) were significantly higher and smoking rate, drinking rate, AST, AST/ALT ratio, total cholesterol (TC), HDL-C, low-density lipoprotein cholesterol (LDL-C) were significantly lower in T2DM subjects compared to non-T2DM subjects (P

Published
2023
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7. Association between air pollution and death from respiratory diseases in Wuhan from 2014 to 2019

Author

ZHAO Yuanyuan, YANG Niannian, DAI Juan, ZHANG Xiaoxia, and YAN Yaqiong

Subjects
air pollution, respiratory disease, generalized additive model, Medicine
Abstract

ObjectiveTo determine the association between air pollutants （PM2.5， PM10， SO2， NO2） and death from respiratory diseases in Wuhan.MethodsDaily air pollutants， meteorological data and mortality from respiratory disease between 2014 and 2019 were collected for a descriptive analysis. A time series semi-parametric generalized additive model （GAM） was used to determine the exposure-effect relationship between atmospheric pollutants and daily mortality from respiratory diseases，and the excess risk （ER） was used to quantify the effects of air pollutants on death from respiratory diseases.ResultsThere was significant effect of PM2.5， PM10， SO2 and NO2 on respiratory diseases mortality. In the period with strongest effect， the ER of death from respiratory diseases were 2.803%（95%CI：2.151%‒3.460%）， 1.878%（95%CI：1.477%‒2.281%）， 10.210%（95%CI：7.922%‒12.549%）， 4.564%（95%CI：3.530%‒5.608%）， along with an incremental 10 μg·m-3 of PM2.5，PM10，SO2 and NO2， respectively. Furthermore， females were more sensitive to PM2.5， SO2 and NO2， while males were more sensitive to PM10. Residents aged less than 65 years were more sensitive to PM2.5 and NO2， and those older than 65 years were more sensitive to PM10 and SO2.ConclusionAir pollutants （PM2.5， PM10， SO2， and NO2） in Wuhan are associated with the death from respiratory diseases. Therefore， at-risk groups should be considered for formulating local policies against air pollution.

Published
2022
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10. Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study

Author

Liu, Xiaoxue, Wang, Fang, Zhou, Maigeng, Yu, Yong, Qi, Jinlei, Yin, Peng, Yu, Shicheng, Zhou, Yuchang, Lin, Lin, Liu, Yunning, Wang, Qiqi, Zhong, Wenling, Huang, Shaofen, Li, Yanxia, Liu, Li, Liu, Yuan, Ma, Fang, Zhang, Yine, Tian, Yuan, Yu, Qiuli, Zeng, Jing, Pan, Jingju, Zhou, Mengge, Kang, Weiwei, Zhou, Jin-Yi, Yu, Hao, Liu, Yuehua, Li, Shaofang, Yu, Huiting, Wang, Chunfang, Xia, Tian, Xi, Jinen, Ren, Xiaolan, Xing, Xiuya, Cheng, Qianyao, Fei, Fangrong, Wang, Dezheng, Zhang, Shuang, He, Yuling, Wen, Haoyu, Liu, Yan, Shi, Fang, Wang, Yafeng, Sun, Panglin, Bai, Jianjun, Wang, Xuyan, Shen, Hui, Ma, Yudiyang, Yang, Donghui, Mubarik, Sumaira, Cao, Jinhong, Meng, Runtang, Zhang, Yunquan, Guo, Yan, Yan, Yaqiong, Zhang, Wei, Ke, Sisi, Zhang, Runhua, Wang, Dingyi, Zhang, Tingting, Nomura, Shuhei, Hay, Simon I., Salomon, Joshua A., Haagsma, Juanita A., Murray, Christopher J.L., Vos, Theo, and Yu, Chuanhua

Published
2022
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32. Anti-Smoking Practice in Hospitals: An Intercept Survey among Patients in Hubei Province, China

Author

Zhou, Dunjin, Yan, Yaqiong, Yu, Huihong, Xia, Qinghua, Yang, Niannian, Zhang, Zhifeng, Zhu, Zhaoyang, Li, Fang, and Gong, Jie

Abstract

Purpose: This study aims to examine whether, in the opinion of patients selected in 13 hospitals of Hubei province, China, hospitals are smoke free. Patients were also asked whether their physicians had inquired about their smoking status. Design/methodology/approach: Patients were recruited through an intercept method (i.e. stopped by the interviewer while in the hospital); data were collected through interviews, with a response rate of 96.1 percent. Findings: Among the intercepted patients, 48.3 percent reported having seen people smoking in hospitals; 22.3 percent had seen a doctor and/or nurse smoking; 23.8 percent had smelled tobacco in hospitals; 68.4 percent reported having seen "no-smoking" signs in hospital settings; 42.6 percent reported having been asked about smoking status in their latest visit to a doctor and 23.8 percent reported receiving tobacco cessation counseling. Compared to hospitals in large cities, patients from medium/small city hospitals reported significantly higher levels of cigarette smoking among physicians, and poorer implementation of regulations for a smoking-free hospital, and less smoking cessation counseling by physicians. Originality/value: Findings of this study point to the need for greater efforts to be made in promoting a smoke free environment in hospitals, as well as encouraging physicians to provide more smoking cessation counseling to smoking patients, particularly physicians in small and medium hospitals. (Contains 4 tables.)

Published
2012
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41. Excess mortality in Wuhan city and other parts of China during the three months of the covid-19 outbreak: findings from nationwide mortality registries

Author

Liu, Jiangmei, primary, Zhang, Lan, additional, Yan, Yaqiong, additional, Zhou, Yuchang, additional, Yin, Peng, additional, Qi, Jinlei, additional, Wang, Lijun, additional, Pan, Jingju, additional, You, Jinling, additional, Yang, Jing, additional, Zhao, Zhenping, additional, Wang, Wei, additional, Liu, Yunning, additional, Lin, Lin, additional, Wu, Jing, additional, Li, Xinhua, additional, Chen, Zhengming, additional, and Zhou, Maigeng, additional

Published
2021
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42. Eliciting National and Subnational Sets of Disability Weights in Mainland China: Findings From the Chinese Disability Weight Measurement Study

Author

Liu, Xiaoxue, primary, Wang, Fang, additional, Yu, Chuanhua, additional, Zhou, Maigeng, additional, Yu, Yong, additional, Qi, Jinlei, additional, Yin, Peng, additional, Yu, Shicheng, additional, Zhou, Yuchang, additional, Lin, Lin, additional, Liu, Yunning, additional, Wang, Qiqi, additional, Zhong, Wenling, additional, Huang, Shaofen, additional, Li, Yanxia, additional, Liu, Li, additional, Liu, Yuan, additional, Ma, Fang, additional, Zhang, Yine, additional, Tian, Yuan, additional, Yu, Qiuli, additional, Zeng, Jing, additional, Pan, Jingju, additional, Zhou, Mengge, additional, Kang, Weiwei, additional, Zhou, Jinyi, additional, Yu, Hao, additional, Liu, Yuehua, additional, Li, Shaofang, additional, Yu, Huiting, additional, Wang, Chunfang, additional, Xia, Tian, additional, Xi, Jinen, additional, Ren, Xiaolan, additional, Xing, Xiuya, additional, Cheng, Qianyao, additional, Fei, Fangrong, additional, Wang, Dezheng, additional, Zhang, Shuang, additional, He, Yuling, additional, Meng, Runtang, additional, Cao, Jinhong, additional, Wen, Haoyu, additional, Shi, Fang, additional, Wang, Yafeng, additional, Sun, Panglin, additional, Liu, Yan, additional, Bai, Jianjun, additional, Wang, Xuyan, additional, Shen, Hui, additional, Zhang, Yunquan, additional, Guo, Yan, additional, Yan, Yaqiong, additional, Zhang, Wei, additional, Ke, Sisi, additional, Zhang, Runhua, additional, Wang, Dingyi, additional, Zhang, Tingting, additional, Nomura, Shuhei, additional, Salomon, Joshua A., additional, Haagsma, Juanita A., additional, and Vos, Theo, additional

Published
2021
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45. Epidemiology of COVID-19 in older persons, Wuhan, China

Author

Guo, Yan, primary, Liu, Xinghua, additional, Deng, Mengyao, additional, Liu, Pulin, additional, Li, Fang, additional, Xie, Nianhua, additional, Pang, Yanhui, additional, Zhang, Xiaoxia, additional, Luo, Wen, additional, Peng, Ying, additional, Yan, Yaqiong, additional, Li, Gang, additional, and Yang, Mei, additional

Published
2020
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