[Serum immunoglobulin concentration and the risk of type 2 diabetes mellitus in adults in Tianjin City: a prospective cohort study].

Objective: To evaluate the association between immunoglobulin concentration and the risk of type 2 diabetes mellitus (T2DM) in adults in Tianjin City. Methods: Based on the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIHealth) cohort from January 2010 to December 2018, subjects who had completed the measurement of baseline immunoglobulin concentration and blood glucose concentration and not been diagnosed with any type of diabetes at baseline were selected in this study. The collected data included the concentration of serum immunoglobulin (IgG, IgM, IgA and IgE), fasting blood glucose and other potential confounders. The subjects were divided into four groups from Q1 to Q4 according to the quartiles of baseline immunoglobulin concentration. The multivariable Cox regression model was used to assess the association between the baseline immunoglobulin concentration and T2DM. Results: A total of 6 315 subjects aged (50.1±10.0) years were included. About 390 subjects were newly diagnosed with T2DM during the follow-up period. The incidence rate was 16.8/1 000 person-years. After adjusting for age, sex, waist circumference, smoking status, drinking status, eosinophil ratio, metabolic syndrome, first-or second-degree family history, and reciprocal adjusting for other immunoglobulin concentrations, compared to the lowest quartile concentration group Q1, subjects in group Q4 with the highest quartile of IgG concentration showed a lower risk of T2DM (HR=0.71, 95%CI: 0.52-0.97), and subjects in group Q4 with the highest quartile of IgM concentration also had a decreased risk of T2DM (HR=0.66, 95%CI: 0.47-0.91). Subjects in group Q4 with the highest quartile of IgA concentration had an increased risk of T2DM (HR=1.56, 95%CI: 1.18-2.07). The risk of T2DM decreased with the increase of serum IgG and IgM concentrations (Ptrend=0.018, Ptrend=0.010) and increased with the increase of serum IgA concentrations (Ptrend<0.001). No association was found between the concentration of IgE and T2DM risk (HR=0.99, 95%CI: 0.74-1.31, Ptrend=0.891). Conclusion: The concentration of IgG and IgM is negatively associated with the risk of T2DM, and the concentration of IgA is positively associated with the risk of T2DM in Tianjin City. The concentrations of IgG, IgM and IgA could be a predictor of hyperglycemia and T2DM.

Elevated serum complement C3 levels are related to the development of prediabetes in an adult population: the Tianjin Chronic Low-Grade Systematic Inflammation and Health Cohort Study.

AIMS: To investigate whether serum complement C3 is related to the prevalence and incidence of prediabetes in an adult population. METHODS: A cross-sectional (n = 10 206) and prospective cohort study (n = 3333), with a mean (range; 95% CI) follow-up of 2.63 (1-6; 2.58-2.68) years, was conducted in people recruited from the Health Management Centre of Tianjin Medical University General Hospital in Tianjin, China. Measurement of serum C3 concentration, blood fasting glucose, oral glucose tolerance, HbA1c and other potential confounding factors was performed at baseline and each year during the follow-up. Prediabetes was defined according to the criteria of the American Diabetes Association. Adjusted logistic and Cox proportional hazards regression models were used to assess the relationships between C3 quintiles and prediabetes. RESULTS: The prevalence and incidence of prediabetes were 38.5% and 119 per 1000 person-years, respectively. In cross-sectional analysis, after adjustment for potential confounders, the odds ratios of prediabetes for increasing quintiles of C3 were 1.00 (reference), 1.32 (95% CI 1.14-1.53), 1.37 (95% CI 1.18-1.59), 1.75 (95% CI 1.51-2.03), 2.25 (95% CI 1.93-2.62; P for trend < 0.0001). In the cohort analysis, the multiple-adjusted hazard ratio of prediabetes in the highest quintile of baseline C3 was 1.43 (95% CI 1.15, 1.78; P for trend < 0.001), when compared with the lowest quintile. CONCLUSIONS: These findings indicate that elevated serum C3 levels are significantly related to an increased risk of developing prediabetes in an adult population, suggesting that C3 can be used as a biomarker in high-risk individuals to improve primary prevention of prediabetes and diabetes.

[Associations between internet addiction, screen time and depressive symptoms].

Objective: To understand the associations between internet addiction, screen time (computer/mobile devices use and television watching time) and depressive symptoms in adults. Methods: A total of 6 932 adults aged <60 years from the Tianjin Chronic Low-grade Sgstemic Inflammation and Health (TCLSIH) Cohort of 2013-2019 were surveyed. The information about their computer/mobile devices use and television watching time were collected by using a self-reported questionnaire. The depressive symptoms were assessed using the self-rating depression scale (SDS). The adults surveyed were divided into two groups: non-depressive symptom group (SDS score <45) and depressive symptom group (SDS score ≥45). The associations between internet addiction, screen time and depressive symptoms were estimated using Cox proportional hazard regression models, with adjusting for multiple confounders. Results: After adjusting for confounding factors, the hazard ratios (HRs) of depressive symptom in the adults who had internet addiction before, had light internet addiction and had moderate or severe internet addiction were 0.83 (95%CI: 0.56-1.23) , 1.20 (95%CI: 1.03-1.41) for light and 1.48 (95%CI: 1.16-1.89), respectively, compared with those without internet addiction. The linear trend test results of the association between internet addiction and depressive symptoms was significant (trend P<0.001). Compared with the adults who used computer/mobile devices for <1 hour/day, the HRs of depressive symptoms in those who used computer/mobile devices for >1 hour, >3 hours, >5 hours and >10 hours were 0.59 (95%CI: 0.40-0.88), 0.58 (95%CI: 0.40-0.85), 0.52 (95%CI: 0.36-0.76) and 0.69 (95%CI: 0.45-1.05) respectively, a U-shaped association was found between computer/mobile devices use time and depressive symptoms (trend P<0.001). Compared with the adults who never watch TV, the HR of depressive symptoms was 1.36 (95%CI:1.09-1.69) for those watching TV for ≥3 hours/day in crude model and 1.34 (95%CI: 1.07-1.68) for those watching TV for ≥3 hours/day in adjusted model (trend P<0.001). Conclusion: Our findings suggested that internet addiction and television watching time were associated with an increased risk of depressive symptoms, while computer/mobile device use time was associated with a reduced risk of depressive symptoms.

[Study on the relationship between lifestyle and depression symptoms: a TCLSIH study].

Objective: To evaluate the relationship between lifestyle factors and depressive symptoms based on the TCLSIH cohort of 2013-2016 and provide evidence for the intervention on lifestyle in the prevention and treatment of depression in the future. Methods: A cross-sectional study was conducted in 24 256 persons by using a self-rating depression scale (SDS) to assess the depressive symptoms, and lifestyle questionnaire survey and physical examination were carried out. By using software SAS 9.3. The study subjects were divided into two groups: non-depression group (SDS score <45) and depression group (SDS score≥45), and the relationship between lifestyle factors and depressive symptoms was analyzed. Results: The study subjects in depression group accounted for 16.59%; the baseline survey showed that compared with non-depression group, the subjects in depression group had higher neutrophil count and lymphocyte count ratio (NLR), lower BMI, lower total energy intake, and lower physical activity level, and tended to take less plant food diet, more animal food diet and sweet food diet (P<0.000 1). In the depressive group, there were more smokers and less occasional drinkers (P<0.01), and there were more women, home-aloners, people with lower education levels, people with lower total household income, and less staff members, married and those who liked to contact relatives and friends, but the proportion of people who spent more than 5 hours daily for outdoor activities was higher. Multiple linear regression analysis results showed that being male, aged, NLR, smoking (OR=1.14, 95%CI: 1.03-1.26), quitting alcohol, being home-aloners, animal food diet (OR=1.41, 95%CI:1.35-1.46), sweet food diet (OR=1.17, 95%CI: 1.13-1.22), sleep time >7.5 h/d, outdoor activity time 3-5 h/d, outdoor activity time >5 h/d were positively correlated with depression (P<0.05). BMI(OR=0.98, 95%CI: 0.97-0.99), education level (OR=0.76, 95%CI: 0.70-0.82), being staff member, total household income (OR=0.63, 95%CI: 0.58-0.68), total energy intake, physical activity (OR=0.86, 95%CI: 0.84-0.89), married status, move contacts with relatives or friends were negatively related with depression (P<0.05). Conclusion: Lifestyle is closely related to the occurrence of depressive symptoms, and lifestyle intervention seems be a new way to prevent and treat depression.

[Association between tooth missing and non-alcoholic fatty liver disease].

Objective: To evaluate the association between the number of teeth missed and the prevalence of non-alcoholic fatty liver disease (NAFLD) in adults. Methods: A cross-sectional study was carried out in 26 983 adults from Tianjin Chronic Low-grade Systemic Inflammation and Health Cohort Study. The number of teeth missed (excluding third molars) was recorded and classified into four categories: 0, 1-, 3- and ≥6. NAFLD was diagnosed by at least two liver ultrasonography examinations. Adjusted multivariable logistic regression analysis was used to access the association between the number of missed teeth and NAFLD in adults. Results: The overall prevalence of NAFLD was 7 270 and the number of the subjects with at least one tooth missed was 9 667. The multivariable-adjusted ORs (95%CI) of NAFLD across the categories of tooth missing (0, 1-, 3- and ≥6) were as follows: 1.00, 1.04 (0.93-1.15), 1.08 (0.93-1.26) and 1.38 (1.09-1.76) (trend test P=0.030) in males; 1.00, 0.96 (0.82-1.12), 1.11 (0.91-1.35) and 1.22 (0.90-1.64) (trend test P=0.450) in females. Conclusion: The number of missed teeth was positively associated with a higher prevalence rate of NAFLD in males with over 6 teeth missed, but not in females.

[Method of dietary nutritional status assessment and its application in cohort study of nutritional epidemiology].

Minimizing the burden on study subjects and assessing the general dietary nutritional status as accurately as possible are the basis of a nutritional epidemiological cohort study in the general population. While introducing the main dietary nutrition assessment methods, this paper manly describes the basic contents and principles for the development of food frequency questionnaire, and briefly illustrates the problems and solutions for the development of area specific food frequency questionnaires by taking the example of Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) cohort study. Finally, discusses preliminarily the necessity and possibility of developing a national food frequency questionnaire.