Background: Prediabetes leads to declines in physical function in older adults, but the impact of prediabetes progression or regression on physical function is unknown. This study assessed this longitudinal association, with physical function objectivelymeasured by grip strength, walking speed, and standing balance, based on the Health and Retirement Study enrolling United States adults aged >50 years. Methods: Participants with prediabetes were followed-up for 4-year to ascertain prediabetes status alteration (maintained, regressed, or progressed), and another 4-year to assess their impacts on physical function. Weak grip strength was defined as <26 kg for men and <16 kg for women, slow walking speed was as <0.8 m/sec, and poor standing balance was as an uncompleted fulltandem standing testing. Logistic and linear regression analyses were performed. Results: Of the included 1,511 participants with prediabetes, 700 maintained as prediabetes, 306 progressed to diabetes, and 505 regressed to normoglycemia over 4 years. Grip strength and walking speed were declined from baseline during the 4-year followup, regardless of prediabetes status alteration. Compared with prediabetes maintenance, prediabetes progression increased the odds of developing weak grip strength by 89% (95% confidence interval [CI], 0.04 to 2.44) and exhibited larger declines in grip strength by 0.85 kg (95% CI, –1.65 to –0.04). However, prediabetes progression was not related to impairments in walking speed or standing balance. Prediabetes regression also did not affect any measures of physical function. Conclusion Prediabetes progression accelerates grip strength decline in aging population, while prediabetes regression may not prevent physical function decline due to aging.

Background: Creatinine-to-cystatin C ratio is recently suggested to be a surrogate marker for sarcopenia. However, little is known about its association with diabetes. This study aimed to fill in this gap based on a large-scale prospective cohort. Methods: A population-based representative sample of 5,055 participants aged ≥45 years from the China Health and Retirement Longitudinal Study was enrolled between 2011 and 2012 and followed at least once during the subsequent surveys at 2013, 2015, or 2018. Creatinine-to-cystatin C ratio was calculated and normalized by body weight. Incident diabetes was ascertained by plasma glucose, glycosylated hemoglobin, self-reported history, or use of anti-diabetic drugs. Logistic regression analysis and mediation analysis were employed. Results: During follow-up, 634 participants developed diabetes. The risk of diabetes was gradually and significantly decreased with increased normalized creatinine–cystatin C ratio. The multivariable-adjusted odds ratio for diabetes was 0.91 (95% confidence interval, 0.83 to 0.99) per 1 standard deviation higher of normalized creatinine-to-cystatin C ratio, and this relationship remained significant after controlling for muscle strength. The risk reduction in diabetes was significantly larger in participants with normal-weight and high normalized creatinine-to-cystatin C ratio compared with those with overweight/obesity and high normalized creatinine-to-cystatin C ratio (Pinteraction=0.01). Insulin resistance and inflammation appeared to be key mediators accounting for the observed relationship between normalized creatinine-to-cystatin C ratio and risk of diabetes, with their mediating effect being 93.1% and 22.0%, respectively. Conclusion High normalized creatinine-to-cystatin C ratio is associated with reduced risk of diabetes in middle-aged and older adults.

Background/Aims: Older adults are vulnerable to central obesity, while the association of changes in central fatness with risk of diabetes and metabolic control has not been investigated among this particular population. This study was aimed to address these issues. Methods: A total of 1,815 adults aged ≥ 60 years without diabetes at baseline were followed for 4 years. Incident diabetes was ascertained based on plasma glucose, hemoglobin A1c, medical history, and/or the use of anti-diabetic drugs. Central fatness was assessed by waist circumference (WC), waist-height ratio (WHtR), and body roundness index (BRI). Logistic regression analyses were used to assess the association of changes in central fatness with risk of diabetes, along with dose-response and mediation analyses. Results: During the 4-year follow-up, 177 participants developed diabetes. The risk of diabetes was increased by 42%, 41%, and 40% per 1 standard deviation increases in WC, WHtR, and BRI, respectively, in multivariable-adjusted models (all p < 0.01). Moreover, these relationships were all linearly-shaped (all pnonlinearity ≥ 0.11). Increases in WC, WHtR, and BRI correlated with increases in hemoglobin A1c, triglycerides-and-glucose index, triglycerides, white blood cell, and C-reactive protein (all p ≤ 0.04). Yet only changes in hemoglobin A1c and triglycerides-and-glucose index were identified as the possible mediators for risk of diabetes, with their mediating effect being about 35% and 21%, respectively. Conclusions Increases in central fatness were related to elevated risk of diabetes, and this association might be partly explained by the worsening of glycemic control and insulin resistance in older adults.

Objective: Depression was common during coronavirus disease-2019 (COVID-19) pandemic, while the association of perceived stress with depression among vaccinated healthcare workers has not been investigated. This study aimed to address this issue. Methods: We included a total of 898 fully vaccinated healthcare workers during the outbreak of severe acute respiratory syndrome coronavirus 2 Delta variant in Nanjing, 2021. Depression was ascertained by Patient Health Questionnaire-9, with a cut-off score of ≥5 indicative of mild-to-severe depression. Perceived stress, resilience, and compassion fatigue were assessed by Perceived Stress Scale-10, Resilience Scale-25, and Professional Quality of Life Scale version-5, respectively. Logistic regression analyses were used to estimate the odds ratio (OR) and 95% confidence interval (CI), along with subgroup and mediation analyses. Results: The prevalence of mild-to-severe depression was 41.1% in vaccinated healthcare workers. The odd of mild-to-severe depression was increased with higher perceived stress. Compared with vaccinated healthcare workers with the lowest tertile of perceived stress, those with the highest tertile had increased odds of mild-to-severe depression by 120% (OR 2.20, 95% CI 1.46 to 3.31) after multivariable-adjustment. However, perceived stress was not associated with mild-to-severe depression in vaccinated healthcare workers with strong resilience, but was in those with weak resilience (pinteraction=0.004). Further analysis showed that compassion fatigue mediated the relationship between perceived stress and mild-to-severe depression, with a mediating effect of 49.7%. Conclusion Perceived stress was related to an increased odd of mild-to-severe depression in vaccinated healthcare workers during COVID-19 pandemic, and this relationship might be explained by compassion fatigue.

Objective:To explore the relationship between metabolic score for insulin resistance (METS-IR) and chronic kidney disease (CKD) and albuminuria in the Chinese population.Methods:This cross-sectional study was conducted from January to December 2018 among residents aged 20 to 70 years in ten regions of eight provinces in China; all residents had lived in their region for more than 5 years. Various parameters were measured, included fasting blood glucose, 2-hour postprandial blood glucose, glycosylated hemoglobin (HbA 1c), blood lipids, renal function, urinary albumin/creatinine ratio (UACR), etc. Data of 5 060 subjects meeting the criteria were included in the study. CKD was defined as estimated glomerular filtration rate (eGFR)<60 ml·min -1·1.73 m -2 or UACR≥30 mg/g. Albuminuria was defined as UACR≥30 mg/g. METS-IR was calculated and categorized into quartiles: Q1, METS-IR≤32.19; Q2, METS-IR 32.20-37.10; Q3, METS-IR 37.11-42.58; and Q4, METS-IR>42.58. The correlation between METS-IR and CKD and albuminuria was analyzed by binary logistic regression, and subgroup analyses were performed. Results:There were 1 266, 1 266, 1 265, and 1 263 participants included in Q1-Q4 groups, respectively. With the increase of METS-IR quartile, various parameters increased, including age, fasting blood glucose, HbA 1c, triglycerides, serum uric acid, waist circumference, body mass index, and systolic and diastolic blood pressure, and the proportion of males also increased (all P<0.05). The proportion of patients with CKD and albuminuria increased significantly with the increase in interquartile range (Q) of METS-IR (all P<0.05). Logistic regression analysis showed that for every 1-unit increment of METS-IR, the risk of CKD and albuminuria were both increased by 2% [for both: odds ratio ( OR)=1.02, 95% confidence interval ( CI) 1.01-1.03]. Compared with the lowest METS-IR group (Q1), the ORs for CKD and albuminuria in the highest METS-IR group (Q4) were 1.57 (95% CI 1.17-2.10) and 1.46 (95% CI 1.09-1.96), respectively. In the subgroup analyses, increased METS-IR was significantly associated with CKD and albuminuria among women (CKD: OR=1.62, 95% CI 1.14-2.31; albuminuria: OR=1.53, 95% CI 1.07-2.18), individuals with HbA 1c<7% ( OR=1.64, 95% CI 1.21-2.23; OR=1.55, 95% CI 1.14-2.11), individuals with eGFR≥90 ml·min -1·1.73 m -2 ( OR=1.78, 95% CI 1.27-2.49; OR=1.80, 95% CI 1.28-2.53), and the Chinese Han population ( OR=1.56, 95% CI 1.13-2.17; OR=1.41, 95% CI 1.01-1.96). Conclusions:METS-IR is significantly associated with CKD and albuminuria in a Chinese population. Furthermore, the higher the METS-IR, the higher the risk of CKD and albuminuria.

Objective To evaluate the correlation between residual cholesterol(RC)and pre-diabetes(Pre-DM)conversion.Methods The data of this research came from the SENSIBILE-Cohort study,which included 2741 individuals with Pre-DM and followed up for 3 years.RC=TC-HDL-C-LDL-C.Logistic regression analysis was used to identify the factors influencing the progression of Pre-DM to DM and the return to normal blood glucose,while multiple linear regression analysis was used to identify the influencing factors for RC.Results During a 3-year follow-up period,1659 cases(60.5%)of the Pre-DM population maintained Pre-DM status,351 cases(12.8%)progressed to DM,and 731 cases(26.7%)returned to normal blood glucose.Logistic regression analysis showed that when defining Pre-DM according to ADA diagnostic criteria,high RC was the influencing factor for Pre-DM progression to DM and return to normal BG in the unadjusted model.After adjusting for age,gender,nationality,BMI,SBP,smoking,drinking,SUA,TG,exercise and meat diet,high RC may reduce the likelihood of Pre-DM returning to normal blood glucose,but RC is not a contributing factor to the progression of Pre-DM to DM.Multiple linear regression analysis shows that SBP,DBP,2 hPG,triglyceride/glucose index,Chinese visceral fat index,and lipid accumulation products are the influencing factors for RC.Conclusions High RC reduces the likelihood of Pre-DM returning to normal blood glucose.RC is not a contributing factor to the progression of Pre-DM to DM.

Screening for diabetes and its complications contributes to slowing the progression of diabetes mellitus. Based on the setting of grass-roots diabetes complication screening workstation with the concept of two stages of screening and three levels of prevention, we proposed a hospital-community-family integrated diabetes management strategy. This article discusses the background, organization structure, operation mechanism and implementation process of this strategy, aiming to provide reference for constructing a suitable and practical grass-roots diabetes management model.

Objective:To assess the relationship between appendicular skeletal muscle mass (ASM) and ankle brachial index (ABI) among patients with type 2 diabetes.Methods:In this cross-sectional study, from July 2018 to March 2019, a total of 278 patients with type 2 diabetes treated in Zhongda Hospital were enrolled in this study, and there were 158 males and 120 females. General information and clinical biochemical parameters and ABI in the patients were collected. The appendicular muscle mass was quantitatively measured with body composition analyzer to achieve ASM. And the appendicular skeletal muscle mass index (ASMI), skeletal muscle index (SMI), and appendicular skeletal muscle mass/body mass index (ASM/BMI) were calculated respectively. Correlation analysis and multiple linear regression analyses with different adjustment models were conducted to analyze the correlation between ABI and above-mentioned indexes.Results:The Pearson correlation analysis showed that ABI had significant positive correlation with ASM, ASMI and ASM/BMI ( r=0.14, 0.13, 0.13, all P<0.05), but a marginal relation with SMI ( r=0.116, P=0.053). Multiple linear regression analysis suggested that ASMI ( β=0.053, 95% CI: 0.006-0.101, P=0.027) and AMI/ABI ( β=0.347, 95% CI: 0.040-0.654, P=0.027) were significantly related to ABI. Conclusion:ASM is positively associated with ABI in patients with type 2 diabetes.

Background: Diabetes can complicate hypertension management by increasing the risk of cardiovascular disease (CVD) and all-cause mortality. Studies targeting diabetes detection in hypertensive individuals demonstrating an increased risk of diabetes are lacking.We aimed to assess the performance of hemoglobin A1c (HbA1c) and its cut-off point in detecting diabetes in the abovementioned population. Methods: Data from 4,096 community-dwellers with hypertension but without known diabetes were obtained from the Study on Evaluation of iNnovated Screening tools and determInation of optimal diagnostic cut-off points for type 2 diaBetes in Chinese muLti-Ethnic (SENSIBLE) study; these data were randomly split into exploration (70% of the sample) and internal validation (the remaining 30%) datasets. The optimal HbA1c cut-off point was derived from the exploration dataset and externally validated using another dataset from 2,431 hypertensive individuals. The oral glucose tolerance test was considered the goldstandard for confirming diabetes. Results: The areas under the ROC curves for HbA1c to detect diabetes were 0.842, 0.832, and 0.829 for the exploration, internal validation, and external validation datasets, respectively. An optimal HbA1c cut-off point of 5.8% (40 mmol/mol) yielded a sensitivity of 76.2% and a specificity of 74.5%. Individuals who were not diagnosed as having diabetes by HbA1c at 5.8% (40 mmol/mol) had a lower 10-year CVD risk score than those diagnosed as having diabetes (P = 0.01). HbA1c ≤ 5.1% (32 mmol/mol) and ≥ 6.4% (46 mmol/mol) could indicate the absence and presence of diabetes, respectively. Conclusions HbA1c could detect diabetes effectively in community-dwellers with hypertension.