Background: Evidence on the interrelations between cigarette smoking and a cluster of lifestyle behaviors is scarce for the Chinese youth population. This study is conducted to identify the associations between cigarette smoking and multiple health-related behaviors in a Chinese sample of...

Objectives: This study aimed to investigate the relationship between the triglyceride–glucose (TyG) index, its combination with the body roundness index (BRI), and chronic kidney disease (CKD) in patients with type 2 diabetes mellitus (T2DM) based on a cross-sectional analysis conducted in Eastern China. Methods: The research originates from a cross-sectional study performed in Zhejiang Province, Eastern China, between March and November 2018. The TyG-BRI index was calculated based on triglyceride, fasting blood glucose, and the BRI. The correlation between the TyG-BRI index and the risk of CKD was assessed using a restricted cubic spline model. A multivariate logistic regression model was used to investigate the association between the TyG-BRI index and the risk of CKD. Receiver operating characteristic (ROC) analyses was used to evaluate the optimal cut-off and value of the TyG-BRI index for predicting CKD. Results: A total of 1756 T2DM participants were enrolled in this study. The TyG-BRI index was significantly higher in participants with CKD than in those without CKD. In the fully adjusted model, the odds ratios for CKD in the second, third, and fourth TyG-BRI quartiles were 0.93 (95% CI: 0.65–1.33), 1.33 (95% CI: 0.94–1.88), and 1.57 (95% CI: 1.10–2.25), respectively, compared to the first quartile. RCS analysis confirmed a linear dose–response relationship between the TyG-BRI index and CKD risk (all p for nonlinearity > 0.05). ROC curve analysis revealed that the TyG-BRI index had moderate predictive value for CKD, with an area under the curve of 0.626 (95% CI: 0.597–0.656, p < 0.001). The optimal cut-off value for the TyG-BRI index was 42.46, with a sensitivity of 68.2% and specificity of 52.2%. Conclusions: The TyG-BRI index was positively associated with the risk of CKD in a T2DM population, demonstrating a dose–response relationship and moderate predictive value. It may serve as a valuable tool for identifying high-risk individuals and informing targeted interventions to prevent or delay CKD progression in this population.

The associations of occupational activity (OA), commuting, leisure-time physical activity (LTPA), and sitting with overweight/obesity in working adults are controversial. This study explored these factors with the risk of overall and abdominal overweight/obesity in a Chinese working population and whether these associations differ by gender. A cross-sectional study was conducted. Data analysis was done among 6739 employed participants. Multivariate logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for the studied associations. For male employees, those with heavy OA had a lower overall (OR 0.76; 95% CI, 0.62-0.93) and abdominal (OR 0.76; 95% CI, 0.62-0.93) overweight/obesity risk than those with light OA. Those with LTPA ≥150 min/week had a lower risk of overall (OR 0.73; 95% CI, 0.56-0.96) and abdominal (OR 0.70; 95% CI, 0.53-0.91) overweight/obesity than those with LTPA <150 min/week. Men with leisure-sitting time <2.5 h/day had a significantly lower risk of abdominal overweight/obesity than those sitting ≥4 h/day (OR 0.80; 95% CI, 0.65-0.99). And men who cycled to/from work had a lower risk of overall (OR 0.69; 95% CI, 0.53-0.90) and abdominal overweight/obesity (OR 0.71; 95% CI, 0.54-0.92) than passive transports. However, the above significant associations disappeared among female employees. Heavy OA, cycling to/from work, and LTPA were associated with lower risk of overall or abdominal overweight/obesity in male employees. Reducing leisure sitting time can also help male employees reduce the risk of abdominal overweight/obesity. More research on gender disparity in the risk of overweight and obesity should be done.

Aims/Introduction: An elevated heart rate has been reported to be associated with an increased incidence of type 2 diabetes mellitus. We investigated whether heart rate independently and interactively with body mass index or blood pressure was associated with the incidence of type 2 diabetes mellitus in a rural Chinese population.Materials and Methods: We measured the association between heart rate and type 2 diabetes mellitus in the Tongxiang China Kadoorie Biobank prospective cohort study using Cox proportional hazard models. Analyses included 53,817 participants without any history of diabetes, cancer, cardiovascular or rheumatic heart disease at baseline. Incident type 2 diabetes mellitus cases were identified through linkage with established Disease Registries and the China National Health Insurance System.Results: After a mean follow‐up period of 6.9 years, 1,766 people had developed type 2 diabetes mellitus with an incidence of 4.75 per 1,000 person‐years. Multivariable‐adjusted hazard ratios and for type 2 diabetes mellitus across increasing quintiles of heart rate were 1.00 (reference), 1.24 (95% confidence interval [CI] 1.05–1.45), 1.21 (95% CI 1.03–1.41), 1.24 (95% CI 1.05–1.47) and 1.49 (95% CI 1.28–1.74), respectively, with a P_trend <0.001. This relationship was particularly evident among non‐overweight/obese participants. A significant interaction between heart rate and body mass index on incident type 2 diabetes mellitus was observed with a P for interaction = 0.005.Conclusions: Elevated heart rate is independently, in interaction with a higher body mass index, associated with a higher incidence of type 2 diabetes mellitus.

This study evaluated the effect of family doctor contract service on the health management in Chinese type 2 diabetes mellitus (T2DM) patients over a 24-month period. According to whether patients signing contracts with family doctors or not, the contracting status was divided into contracted and noncontracted. The analysis of covariance was used to examine changes in weight, body mass index, waist circumference, systolic blood pressure, fasting plasma glucose, and lipid parameters between the two groups. The hazard ratios for incident diabetes-related complications were calculated using a Cox proportional hazard model. Of the 2310 patients, 1155 were contracted. The contracted patients displayed the improved fasting blood glucose control and lower low-density lipoprotein cholesterol level than the noncontracted group. Patients signed up with family doctors had a lower risk of diabetes-related complications than those who did not. The data suggested that family doctor contract service might help to achieve better T2DM control.

Objectives: The objective of this study was to examine the association between non-high-density lipoprotein cholesterol (non-HDL-C) to high-density lipoprotein cholesterol (HDL-C) ratio (NHHR) and chronic kidney disease (CKD) in Chinese adults with type 2 diabetes mellitus (T2DM). Methods: This study originated from a survey carried out in Zhejiang Province, located in eastern China, between March and November 2018. To explore the relationship between NHHR and CKD, a multivariable logistic regression model was employed. The dose–response relationship was assessed using restricted cubic spline (RCS) analysis, while generalized additive models (GAMs) were applied to examine the associations between NHHR and urinary albumin-to-creatinine ratio (UACR) as well as estimated glomerular filtration rate (eGFR). Subgroup analyses were performed across various demographic and clinical categories to assess the consistency of the NHHR–CKD association. The optimal NHHR cutoff for CKD diagnosis, its predictive accuracy, and its comparison with its components and HbA1c were determined through receiver operating characteristic (ROC) curve analysis. Results: The study enrolled 1756 participants, including 485 individuals with CKD and 1271 without CKD. Multivariable logistic regression revealed a significant positive association between NHHR and CKD, with each standard deviation (SD) increase in NHHR linked to a 23% higher odds of CKD (OR = 1.23, 95% CI: 1.09–1.37) after adjusting for potential confounders. When comparing quartiles, the fully adjusted ORs for Q2, Q3, and Q4 were 1.29 (0.92–1.79), 1.31 (0.94–1.83), and 1.87 (1.34–2.60), respectively, relative to Q1 (p for trend < 0.01). RCS analysis confirmed a linear dose–response relationship between NHHR and CKD in both sexes (p for nonlinearity > 0.05). GAMs indicated a significant positive correlation between NHHR and UACR (ρ = 0.109, p < 0.001) but no significant association with eGFR (ρ = −0.016, p = 0.502). Subgroup analyses demonstrated consistent associations across most subgroups, except for the 18–44 years age group, the well-controlled glycemic group, and the non-alcohol drinking group (p > 0.05). ROC curve analysis identified an optimal NHHR cutoff of 3.48 for CKD prediction, with an area under the curve (AUC) of 0.606 (95% CI: 0.577–0.635). Notably, NHHR outperformed its individual components and HbA1c in predictive performance. Conclusions: This study revealed a linear link between higher NHHR levels and increased CKD prevalence in Chinese T2DM patients. NHHR may also serve as a potential complementary biomarker for early CKD detection, though further prospective studies are needed to confirm its predictive value and clinical utility in high-risk T2DM populations.