1.Association between obesity and risk for all-cause mortality in patients with type 2 diabetes
Ruying HU ; Qingfang HE ; Xiaoyan ZHOU
Chinese Journal of Epidemiology 2024;45(4):542-547
Objective:To investigate the association between obesity and the risk for all-cause mortality in type 2 diabetes (T2DM) patients.Methods:The participants were from a rural community-based T2DM patient cohort in Zhejiang Province. The study used the data collected from baseline survey in 2016 and follow-up until December 31, 2021. A total of 10 310 participants were included, excluding those who were lost in follow-up or had incomplete data in follow-up. According to BMI and waist circumference, the study subjects were divided into 6 groups: low body weight, normal body weight, simple abdominal obesity, simple body obesity, complex overweight and complex obesity. Cox proportional hazards regression model was used to analyze hazard ratios ( HRs) of all-cause mortality and their 95% CIs in T2DM patients with different obesity status. Results:The cumulative follow-up period was 57 049.47 person-years with an average follow-up of (5.53±0.89) person-years. During this period, 971 subjects died. The death density was 1 702.03/100 000 person-years. After adjusting for confounders, low-weight patients had a 104% increased risk for all-cause death compared with normal-weight patients ( HR=2.04, 95% CI:1.42-2.92). The risk for all-cause death decreased by 34% ( HR=0.66, 95% CI: 0.53-0.82), 22% ( HR=0.78,95% CI: 0.66-0.92), 38% ( HR=0.62, 95% CI: 0.49-0.78) in the patients with simple body obesity, complex overweight and complex obesity, respectively, there was no significant difference for all-cause death in the patients with simple abdominal obesity alone. In subgroup analysis, the risk of all-cause mortality increased in low-weight T2DM patients of different sexes and ages, the mortality risk in women with complex obesity was 50% lower than that in the women with normal body weight, but there was no significant difference in men in the comparison between complex obesity group and normal body weight group. The risk for all-cause mortality was significantly lower in ≥65 years old patients with simple body obesity, complex overweight and complex obesity than in patients with normal body weight ( HR=0.61, 95% CI: 0.48-0.78; HR=0.76, 95% CI: 0.63-0.91; HR=0.56,95% CI: 0.42-0.73), there was no significant difference in the patients aged <65 years. There was no significant change in sensitivity analysis. Conclusions:There was an "obesity paradox" in the risk for all-cause mortality in T2DM patients. The risk of all-cause mortality in the low-weight patients was significantly higher than that in normal-weight patients, and the risk for death in the patients with simple body obesity or complex overweight and obesity were significantly lower.
2.Therapeutic impact of agomelatine in elderly patients with acute cerebral infarction and comorbid anxiety-depression disorders
Guoyang HE ; Qingfang LIU ; Zhihua WANG ; Chunfang LI ; Qigen WAN ; Wei OUYANG
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2024;26(6):678-682
Objective To investigate the effect of agomelatine on the clinical efficacy in elderly patients with acute cerebral infarction(ACI)and comorbid anxiety-depression disorders by regu-lating serum neurotransmitters and nerve cytokines.Methods A total of 160 elderly ACI patients with anxiety and depression symptoms admitted in Pingxiang Second People's Hospital from June 2020 to December 2023 were enrolled in this study.All of them received thrombolysis or interven-tional therapy,and then were randomly divided into control and observation groups,with 80 patients in each group.The control group received conventional psychological intervention,while the observation group was given additional oral administration of agomelatine.Cognitive function,neurological function,neurotransmitters and neuronal cytokines,anxiety and depression scores,sleep quality,quality of life,daily activity ability and adverse reactions were compared between the two groups.Results After intervention,Mini Mental State Examination(MMSE)scores,levels of neuropeptide Y(NPY),5-hydroxytryptamine(5-HT),norepinephrine(NE),dopamine and brain-derived neurotrophic factor(BDNF),36-item Brief Health Questionnaire(SF-36)score,and Bar-thel index scale score were significantly higher in both 2 groups when compared with above indicators before the intervention(P<0.01).And the MMSE score,NPY,5-HT,NE,dopamine and BDNF levels,SF-36 score and Barthel index scale score were obviously higher in the observa-tion group than the control group(P<0.01).Both groups obtained notably lower NIHSS score,S100 calcium binding protein B(S100B)and myelin basic protein(MBP)levels,Hamilton Anxiety Rating Scale(HAMA)score,and Hamilton Depression Rating Scale 17(H AMD-17)score and Pittsburgh Sleep Quality Index(PSQI)score after intervention(P<0.01).And the NIHSS score,S100B and MBP levels,HAMA score,HAMD-17 score,and PSQI score were statistically lower in the observation group than the control group(P<0.01).During the treatment process,no signifi-cant difference was observed in the incidence of total adverse reactions between the two groups(3.75%vs 6.25%,x2=0.526,P=0.468).Conclusion When agomelatine tablets are indicated for ACI patients with concomitant anxiety-depression disorders,they can effectively rehabilitate cog-nitive function,enhance neurological function,improve sleep quality and quality of life,optimize activities of daily living,eliminate negative emotions,and correct the expression of neurotransmit-ters and neurotrophic factors.
3.Glycosylated hemoglobin control and its influencing factors amongpatients with type 2 diabetes mellitus in rural communities of Zhejiang Province
Xiaoyan ZHOU ; Ruying HU ; Qingfang HE ; Jin PAN ; Weiwei GONG ; Feng LU ; Meng WANG ; Jieming ZHONG
Journal of Preventive Medicine 2022;34(2):123-128
Objective:
To investigate the degree and influencing factors of glycosylated hemoglobin ( HbA1c ) control among patients with type 2 diabetes ( T2DM ) living in rural communities of Zhejiang Province, so as to provide the reference for optimizing the management of diabetes patients in rural communities.
Methods:
Permanent adult patients with T2DM that were registered and received standardized management in all communities of Jiashan County and Suichang County, and 6 communities of Yongkang City, Zhejiang Province in 2016 were recruited, and their demographic characteristics were captured from the health record system and chronic disease management system. The height, body weight, waist circumstance and blood pressure were measured, and HbA1c and blood lipid parameters were detected. The degree of HbA1c control ( <7% ) was analyzed, and its influencing factors were identified using a multivariable logistic regression model.
Results:
A total of 10 339 patients with T2DM were enrolled, including 4 520 men ( 43.72% ) and 5 819 women ( 56.28% ), with a mean age of ( 63.54±9.78 ) years and the mean course of diabetes of ( 6.36±4.73 ) years. The rate of HbA1c control was 47.89%. Multivariable logistic regression analysis showed that males ( OR=1.123, 95%CI: 1.024-1.233 ), region ( Suichang, OR=2.413, 95%CI: 2.106-2.765; Yongkang, OR=2.460, 95%CI: 2.188-2.767 ), course of disease ( 5-9 years, OR=1.724, 95%CI: 1.504-1.977; 10 years and longer, OR=2.881, 95%CI: 2.477-3.351 ), use of hypoglycemic drugs ( OR=1.203, 95%CI: 1.089-1.329 ), development of chronic complications ( OR=1.190, 95%CI: 1.027-1.379 ), uncontrolled blood pressure ( OR=1.140, 95%CI: 1.030-1.261 ), uncontrolled blood lipid ( OR=1.258, 95%CI: 1.104-1.433 ), and smoking ( OR=1.318, 95%CI: 1.165-1.491 ) were statistically associated with HbA1c control among T2DM patients.
Conclusion
The rate of HbA1c control was 47.89% among T2DM patients in rural communities of Zhejiang Province. HbA1c control should be given a high priority among men living in low-economic-level regions with long course of disease, use of hypoglycemic drugs, chronic complications, smoking, uncontrolled blood pressure and lipid.
4.Association between frailty and lifestyle factors among middle-aged and elderly populations
Jingjing LIN ; Yushan DU ; Mingbin LIANG ; Xiangyu CHEN ; Qingfang HE ; Hui XU ; Jiasheng QIN ; Feng LU ; Lixin WANG ; Jieming ZHONG ; Le FANG
Journal of Preventive Medicine 2022;34(3):263-267
Objective:
To examine the correlation between frailty and lifestyle factors among middle-aged and elderly populations, so as to provide insights into the management of frailty among middle-aged and elderly populations.
Methods :
Middle-aged and elderly residents at ages of 45 ot 69 years were recruited using the convenient sampling method from seven townships in Changxing County of Zhejiang Province from 2019 to 2020. The demographic characteristics and lifestyle factors were collected using questionnaires, and the frailty was measured using the Chinese version of Tilburg Frailty Indicator ( TFI ). Factors affecting frailty were identified among middle-aged and elderly populations using the multivariable logistic regression model.
Results:
A total of 7 170 residents were surveyed, including 2 780 males ( 38.77% ) and 4 390 females ( 61.23% ), which had a median age of 56 (interquartile range, 10) years. The median frailty score was 2 (interquartile range, 3 ) among the study subjects, and the median frailty score was 2 ( interquartile range, 2 ) among residents at ages of 45 to 59 years, and 2 (interquartile range, 3) among residents at ages of 60 to 69 years. The overall detection of frailty was 16.07%, and the detection of frailty was 13.52% among subjects at ages of 45 to 59 years and 21.01% among subjects at ages of 60 to 69 years. Multivariable logistic regression analysis identified physical activity ( OR=0.826, 95%CI: 0.719-0.949 ) and sleep quality ( OR: 3.376-11.493, 95%CI: 2.907-15.808 ) as factors affecting frailty among middle-aged and elderly residents. Following age stratification, physical activity ( OR=0.817, 95%CI: 0.681-0.981 ) and sleep quality ( OR: 3.076-11.566, 95%CI: 2.518-18.216 ) as factors affecting frailty among subjects at ages of 45 to 59 years, while sleep quality ( OR: 3.777-11.827, 95%CI: 3.002-18.547 ) significantly correlated with frailty among residents at ages of 60 to 69 years.
Conclusion
Physical activity and sleep quality are associated with the risk of frailty among middle-aged and elderly populations.
5.Correlation between subclinical hypothyroidism and outcomes of patients with acute ischemic stroke
Minyan LU ; Yang LU ; Jun YANG ; Jinling ZHANG ; Yujie YANG ; Qingfang HE ; Hong ZHOU
International Journal of Cerebrovascular Diseases 2021;29(3):174-178
Objective:To investigate the correlation between subclinical hypothyroidism (SCH) and clinical outcomes of patients with acute ischemic stroke.Methods:From July 2014 to October 2017, patients with acute ischemic stroke admitted to Jiangsu Shengze Hospital Affiliated to Nanjing Medical University were enrolled retrospectively. Their demographic and baseline clinical and laboratory data were collected. The modified Rankin Scale was used to evaluate the clinical outcome at 3 months after the onset of symptoms. Multivariate logistic regression analysis was used to determine the independent correlation between SCH and clinical outcome of patients with acute ischemic stroke. Results:A total of 200 patients with acute ischemic stroke were enrolled, including 107 males (53.5%) and 93 females (46.5%). Their age was 69.67±11.38 years. There were 45 patients (22.5%) with SCH, 160 (80.0%) with good outcomes, and 40 (20.0%) had poor outcomes. Univariate analysis showed that there were significant differences in the baseline National Institutes of Health Stroke Scale (NIHSS) score, stroke etiology classification and the proportion of patients with SCH between the poor outcome group and the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that high NIHSS score (odds ratio 2.884, 95% confidence interval 2.005-4.147; P=0.001) and SCH (odds ratio 19.527, 95% confidence interval 2.334-163.386; P=0.006) were the independent risk factors for poor outcomes. Conclusion:High NIHSS score and SCH were associated with the poor outcomes at 3 months after the onset of acute ischemic stroke.
6.Association between alcohol consumption and hypertensionin adults of Zhejiang Province
GUAN Yunqi ; LIANG Mingbin ; HE Qingfang ; PAN Jin ; GONG Weiwei ; WANG Hao ; ZHONG Jieming ; YU Min ; HU Ruying
Journal of Preventive Medicine 2021;33(9):877-883
Objective :
To explore the relationship between alcohol consumption and hypertension in adults of Zhejiang Province, so as to provide scientific evidence for the prevention and control of hypertension.
Methods:
Data were collected from 10 national surveillance sites in Zhejiang Province in the 2018 China Chronic Disease and Risk Factors Surveillance. The multivariate logistic regression model was used to explore the relationship between alcohol consumption and hypertension in adults of Zhejiang Province.
Results :
Among 5 908 people included, 2 641 were males, accounting for 50.38%; and 3 267 were females, accounting for 49.62%. There were 2 721 cases of hypertension ( 28.54% ). The number of the cases with no, light and excessive alcohol consumption was 3 945, 1 117 and 846, accounting for 66.28%, 23.65% and 10.07%, respectively, after complex sampling weighting. The results of the multivariate logistic regression model showed that compared with those with no alcohol consumption, the adults with excessive alcohol consumption had higher risk of hypertension ( OR=2.126, 95%CI: 1.649-2.741 ); men with light ( OR=1.875, 95%CI: 1.075-3.270 ) and excessive alcohol consumption ( OR=2.752, 95%CI: 2.021-3.748 ) had higher risk of hypertension; the 18-<45-year-old adults with light ( OR=2.441, 95%CI: 1.171-5.087 ) and excessive alcohol consumption ( OR=3.368, 95%CI: 1.609-7.049 ), and the ≥60-year-old adults with excessive alcohol consumption ( OR=1.632, 95%CI: 1.174-2.269 ) had higher risk of hypertension.
Conclusions
Light and excessive alcohol consumption are associated with hypertension in Zhejiang adults. The association is stronger between excessive alcohol consumption and hypertension than between light alcohol consumption and hypertension.
7.Association between body mass index changes and other risk factors for cardiovascular disease in patients with type 2 diabetes mellitus
Ruying HU ; Qingfang HE ; Jin PAN ; Meng WANG ; Xiaoyan ZHOU ; Min YU
Chinese Journal of Epidemiology 2021;42(7):1194-1199
Objectives:To investigate the association between body mass index (BMI) changes and other risk factors for cardiovascular disease in patients with type 2 diabetes mellitus (T2DM).Methods:Based on the T2DM cohort in rural communities of Zhejiang province, baseline and follow up information of height, weight, blood pressure, glycated hemoglobin (HbA1c), TC, TG, LDL-C and HDL-C of the T2DM patients were collected. After excluding those who died during the follow-up period, lost follow-up or had incomplete information, a total of 8 953 T2DM patients were included in the final analysis. Multiple linear regression and Cox proportional hazards regression models were used for analysis.Results:At baseline survey, 40.97% of the T2DM patients were overweight and obese. Compared with those with normal BMI, the SBP, DBP and TG level were significantly higher, while HDL-C level was significantly lower in the overweight and obese T2DM patients ( P<0.01). During the follow-up period, the blood glucose control rate in the patients increased by 15%, and the levels of HbA1c decreased in the patients with different BMI changes at different degrees. Compared with the patients who kept normal BMI, the HbA1c level decrease had a smaller range, while the SBP and DBP increase had a larger range in the patients with persistent overweight and obesity, and their substandard rates of HbA1c, SBP, DBP, TG, HDL-C levels were 1.142 (1.057-1.233) times, 1.123 (1.055-1.196) times, 1.220 (1.128-1.320) times, 1.400 (1.282-1.528) times and 1.164 (1.069-1.267) times higher. The changes of blood pressure, blood lipids and other related indicators in the patients whose BMI became abnormal were similar to those of the patients with persistent overweight and obesity; Compared with the patients whose BMI were kept normal, the differences in changes and substandard rate of blood glucose level, blood pressure level in the patients whose BMI became normal were not significant ( P>0.05). The change value of BMI was positively correlated with the change value of SBP, DBP, TG and LDL-C, while negatively correlated with the change value of HDL-C ( P<0.05). Conclusions:Abnormal changes in BMI are associated with the adverse changes of blood glucose level, blood pressure, and blood lipids level and other cardiovascular disease risk factors. Keeping normal BMI would benefit the positive outcome of cardiovascular adverse factors.
8.Predictive value of plasma lipocalin-2 for the clinical outcome of patients with acute minor ischemic stroke
Yujie YANG ; Yongjun CAO ; Hairong DONG ; Qingfang HE
International Journal of Cerebrovascular Diseases 2020;28(9):655-660
Objective:To investigate the predictive value of plasma lipocalin-2 (LCN2) for the clinical outcome of patients with acute minor ischemic stroke (MIS).Methods:Consecutive patients with acute MIS admitted to the Department of Neurology, Shengze Hospital Affiliated to Nanjing Medical University from October 9, 2017 to August 17, 2018 were selected prospectively. On the day of admission, the National Institutes of Health Stroke Scale (NIHSS) was used to evaluate the degree of neurological impairment. The modified Rankin Scale was used to evaluate the clinical outcome at 90 d after the onset, and 0-1 was defined as a good outcome. Multivariate logistic regression model was used to analyze the correlation between plasma LCN2 and clinical outcome. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of plasma LCN2 for the clinical outcome of patients. Results:A total of 71 patients (68.99±11.24 years old) were enrolled in the study. Forty-six patients were male (64.8%). The median plasma LCN2 was 117.7 μg/L (interquartile range, 61.2-738.4 μg/L). Fifty-six patients (78.9%) had good outcomes, and 15 (21.1%) had poor outcomes. The age, baseline NIHSS score, plasma C-reactive protein and LCN2 of the good outcome group were significantly lower than those of the poor outcome group (all P<0.05). Multivariate logistic regression analysis showed that plasma LCN2 ≤117.7 μg/L (odds ratio 8.574, 95% confidence interval 1.755-41.874; P=0.008) and lower baseline NIHSS scores (for increasing by 1 point: odds ratio 0.396, 95% confidence interval 0.214-0.732; P=0.003) were independently related to good outcome. ROC curve analysis showed that the area under the curve for plasma LCN2 to predict a good outcome was 0.814 (95% confidence interval 0.709-0.918); the best cut-off value was 128.55 μg/L, and the corresponding sensitivity and specificity were 69.6% and 80.0%, respectively. Conclusions:Plasma LCN2 had a good predictive value for the clinical outcome of patients with acute MIS at 90 d after the onset.
9.Prevalence and influencing factors of dyslipidemia among patients with type 2 diabetes mellitus in rural communities of Zhejiang Province
HU Ruying ; WANG Yong ; HE Qingfang ; PAN Jin ; LU Feng ; WANG Meng ; ZHOU Xiaoyan
Journal of Preventive Medicine 2020;32(7):649-654
Objective:
To learn the prevalence of dyslipidemia and its influencing factors among patients with type 2 diabetes mellitus (T2DM) in rural areas of Zhejiang Province, and to provide evidence for dyslipidemia control.
Methods:
A sample of 10 343 patients with T2DM managed by communities from three counties (Jiashan,Suichang and Yongkang) were recruited. Through the residents’ health record system and specific investigation, demographic features,physical examination results of blood pressure,height, weight, waist circumstance (WC), glycated hemoglobin (HbA1c),total cholesterol (TC),triglyceride (TG),low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were collected to analyze the spectrum of dyslipidemia. A logistic regression model was established to explore the associated factors of dyslipidemia.
Results :
The prevalence rate of dyslipidemia among the patients with T2DM in rural communities was 66.91%. The prevalence rates of higher level of TC, TG, LDL-C were 41.76%, 41.28%, 15.89%, respectively, while the prevalence rateof lower level of HDL-C was 16.92%. The prevalence rates of purely high TC,high TC with TG and purely high TG were 11.84%,11.75% and 11.47%,respectively. Higher level of TG with lower level of HDL-C was common in males (11.32%) and higher level of TC with TG was common in females (14.60%). The results from multivariate logistic regression analysis indicated that females(OR=1.499,95%CI:1.352-1.663),age(OR=0.992,95%CI:0.988-0.996),poor control of HbA1c(OR=1.241,95%CI:1.141-1.351), abdominal obesity(OR=1.169,95%CI:1.064-1.285),overweight(OR=1.384,95%CI:1.257-1.524)and obesity(OR=1.582,95%CI:1.352-1.852)were associated with dyslipidemia.
Conclusions
The prevalence of dyslipidemia is relatively higher among the patients with T2DM in rural communities of Zhejiang Province. Higher level of TC and TG contributed to most dyslipidemia. The patients with T2DM who are females,have poor control of plasma glucose and suffer from obesity should be under surveillance.
10.Blood lipid level and the control status among patients with type 2 diabetes mellitus in rural communities of Zhejiang Province
Ruying HU ; Yong WANG ; Kailun CHEN ; Qingfang HE ; Jin PAN
Journal of Preventive Medicine 2019;31(11):1091-1096
Objective:
To investigate thestatus and control of blood lipid level among patients with type 2 diabetes mellitus(T2DM)in rural communities of Zhejiang Province,and to provide evidence for blood lipid control for T2DM.
Methods:
A sample of 10 343 patients with T2DM managed by communities from Jiashan,Suichang and Yongkang in 2016 were recruited. Through the diabetes registry system,physical examination and laboratory tests,data of demographic features,blood pressure,body mass index(BMI),waist circumstance(WC),glycated hemoglobin(HbA1c),total cholesterol(TC),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C)and high-density lipoprotein cholesterol(HDL-C)were collected to learn the status of blood lipid control. Logistic regression analysis was conducted to explore the influencing factors for blood lipid control.
Results:
The control rate of TC,TG,LDL-C and HDL-C in patients with T2DM was 29.84%,58.72%,48.25% and 61.27%,respectively. About 11.76% of patients had all the four indicators in control,while 9.22% of patients failed in all. The higher control rates of all of the four indicators were seen in males than females,in older age,in lower BMI and in normal people than in central obese people(all P<0.05). The results of multivariate logistic regression analysis showed that sex(OR=3.556,95%CI:3.070-4.119),age(OR=1.130,95%CI:1.060-1.204),WC(OR=0.989,95%CI:0.980-0.998),
BMI(OR=0.768,95%CI:0.688-0.857),systolic blood pressure(OR=0.991,95%CI:0.984-0.999),HbA1c level(OR=0.914,95%CI:0.876- 0.953),smoking(OR=0.768,95%CI:0.639-0.924)and drinking(OR=0.688,95%CI:0.536-0.884)were associated with the control of TC,TG,LDL-C and HDL-C in patients with T2DM.
Conclusion
The control rate of blood lipid is low in patients with T2DM in rural communities of Zhejiang Province,surveillance and interventions should be focused on sex,overweight/obesity,smoking,alcohol intake,blood glucose and blood pressure.


Result Analysis
Print
Save
E-mail