Objective: To analyze the burden of disease (BOD) on diabetes attributable to high BMI in China from 1990 to 2016. Methods: Data based on population of the 2016 Global Burden of Disease Study for China were used to analyze the attributable fractions (PAF) of BOD for diabetes attributable to high BMI. Measurements for attributable BOD of diabetes included disability adjusted life years (DALY), years of lost life (YLL), years living with disability (YLD), death number and mortality rate. The average world population from 2010 to 2035 was used as a reference. Results: In 2016, death number of diabetes attributable to high BMI was 40 310, which was significantly higher than that in 1990 (15 008). Age-standardized death rate of diabetes attributable to high BMI increased from 2.01/100 000 in 1990 to 2.60/100 000 in 2016, which showed a more significant increasing trend in both males and people aged 15-49 years. DALYs of diabetes attributable to high BMI increased from 1.09 million person years to 3.30 million person years. YLL and YLD also showed increasing trends. The highest increasing rate of YLD was in people aged 15-49 years. High BMI was responsible for 26.01% of the diabetes deaths in 2016 in China, an increase of 39.39% compared with that in 1990 (18.66%). Most provinces in China experienced a sharp increase of DALY of diabetes attributable to high BMI from 1990 to 2016. Inner Mongolia, Xinjiang, Zhejiang, Macao SAR, Sichuan and Qinghai had the most significant increase tendency in terms of DALY rate during this period. Conclusions: There was a rapid increase of the deaths and mortality rate of diabetes attributable to high BMI, causing a heavy disease burden, in China from 1990 to 2016. The BOD varied in both different age and gender groups. More attention should be paid to males and people aged 15-49 years in the prevention and control programs of diabetes.
Adolescent ; Adult ; Body Mass Index ; China/epidemiology* ; Cost of Illness ; Diabetes Mellitus/ethnology* ; Disabled Persons ; Humans ; Macau ; Male ; Middle Aged ; Quality-Adjusted Life Years ; Sickness Impact Profile ; Young Adult

Objective: To explore the association between fatty liver and type 2 diabetes mellitus (T2DM) in the baseline-population of Jinchang cohort study. Methods: Data from all the participants involved in the baseline-population of Jinchang cohort study was used, to compare the risks of T2DM in fatty liver and non fatty liver groups and to explore the interaction between family history or fatty liver of diabetes and the prevalence of T2DM. Results: Among all the 46 861 participants, 10 574 were diagnosed as having fatty liver (22.56%), with the standardized rate as 20.66%. Another 3 818 participants were diagnosed as having T2DM (8.15%) with standardized rate as 6.90%. The prevalence of T2DM increased in parallel with the increase of age (trend χ(2)=2 833.671, trend P<0.001). The prevalence of T2DM in the fatty liver group was significantly higher than that in the non-fatty liver group, both in men or women and in the overall population. Compared with the group of non-fatty liver, the risks of T2DM in fatty liver group were seen 1.78 times higher in males, 2.33 times in women and 2.10 times in the overall population, after adjustment for factors as age, levels of education, smoking, drinking, physical exercise, BMI, family history of diabetes and some metabolic indicators (pressure, TC, TG, uric acid, ALT, AST, gamma-glutamyl transferase). Date from the interaction model showed that fatty liver and family history of diabetes present a positive additive interaction on T2DM (RERI=1.18, 95%CI: 0.59-1.78; AP=0.24, 95%CI: 0.14-0.34; S=1.43, 95%CI: 1.21-1.69). Conclusions: Fatty liver could significantly increase the risk of T2DM and a positive additive interaction was also observed between fatty liver and family history of diabetes on T2DM. It was important to strengthen the prevention program on T2DM, in order to effectively control the development of fatty liver.
China/epidemiology* ; Cohort Studies ; Diabetes Mellitus, Type 2/ethnology* ; Fatty Liver/ethnology* ; Female ; Humans ; Male ; Non-alcoholic Fatty Liver Disease/epidemiology* ; Prevalence ; Risk Factors

Objective: To explore the effect of BMI and waist circumference on diabetes of adults. Methods: After excluding participants with heart disease, stroke, cancer and diabetes at baseline study, 53 916 people aged 30-79 in the China Kadoorie Biobank (CKB) study from Tongxiang city of Zhejiang province were recruited. Cox regression model was used to estimate the hazards ratios (HR) for the associations of baseline BMI and waist circumference with incident diabetes. Results: Among 391 512 person-years of the follow-up program between 2004 and 2013 (median 7.26 years), a total of 944 men and 1 643 women were diagnosed as having diabetes. Compared to those with normal weight, after adjusting for known or potential factors, HR of both overweight and obesity in men for incident diabetes appeared as 2.72 (95%CI: 2.47-2.99) and 6.27 (95%CI: 5.33-7.36), respectively. The corresponding figures in women were 2.19 (95%CI: 2.04-2.36) and 3.78 (95%CI: 3.36-4.26). Compared to those with normal waist circumference, after adjusting for known or potential factors, HR of Ⅰgrade andⅡgrade in men for diabetes were 2.56 (95%CI: 2.22-2.95) and 4.66 (95%CI: 4.14-5.24), respectively. The corresponding figures in women were 1.99 (95%CI: 1.80-2.21) and 3.16 (95%CI: 2.90-3.44), respectively. Conclusions: Overweight, obesity and central obesity were all associated with the increased incident of diabetes. Strategies on diabetes prevention should include not only losing weight, but reducing waist circumference as well.
Adult ; Aged ; Body Mass Index ; China/epidemiology* ; Diabetes Mellitus/ethnology* ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Obesity/epidemiology* ; Obesity, Abdominal/epidemiology* ; Overweight/epidemiology* ; Proportional Hazards Models ; Prospective Studies ; Risk Factors ; Waist Circumference

Objective: To evaluate the prevalence and trend of diabetes mellitus among Chinese adults during the past thirty years. Methods: Papers, published before October 1, 2017 and related to the prevalence of diabetes mellitus among Chinese adults, were searched through PubMed, China Knowledge Resource Integrated Database, Wanfang Digital Database and VIP Citation Databases. Stata 13.0 software was used to estimate the prevalence of diabetes mellitus, with pooled prevalence calculated based on random effects. Subgroup analysis was conducted based on time, sex, areas and body mass index groups of investigation. Continuous fractional polynomial regression model on the midpoint of each survey period, weighted by the number of participants in each study, was used to estimate and illustrate the trends of prevalence of diabetes over the years. Results: In total, 15 studies were included and two of them were excluded in the primary analysis with the age limitation of participants as ≥40 years old, for recruitment. The average prevalence of diabetes among Chinese adults was 6.3% (95%CI: 4.6%-8.0%), during the past thirty years. The pooled prevalence appeared higher in urban than in rural areas and higher in men than in women. Between 1980 and 2013, the increase of Chinese diabetes prevalence did not follow the linear trend. Before 2000, the average prevalence showed as 3.5% (95%CI: 2.0%-4.9%), with an annual increase rate as 0.17%. Since 2000, the average annual prevalence of diabetes mellitus had appeared around 8.0% (95%CI: 6.0%-10.1%), with an annual growth rate of 0.72% (95%CI: 0.34%-1.10%). Conclusion: The prevalence of diabetes in Chinese adults had been rapidly increasing since the year 2000, indicating that efforts should be strengthened for diabetes prevention, in China.
Adult ; Asian People/statistics & numerical data* ; Body Mass Index ; China/epidemiology* ; Diabetes Mellitus/ethnology* ; Female ; Humans ; Male ; Models, Statistical ; Prevalence ; Rural Population ; Sex Distribution ; Surveys and Questionnaires ; Urban Population

Objective: To describe the study design, the characteristics of participants as well as the pedigrees included in the baseline survey of Fujian Tulou Family Cohort Study. Methods: Fujian Tulou Family Cohort Study was a prospective open cohort study with a biological sample bank. A baseline survey was conducted in Tulou areas of Nanjing county in Fujian province from 2015 to 2018, including questionnaire survey, physical and biochemical indicators examinations, and blood sample collection in adults aged ≥18 years. In addition, family relationship of the participants was also recorded. The pedigree information of the juveniles under 18 years old were also collected. Results: The baseline survey included 2 727 individuals in two clans, of whom 2 373 (87.0%) were adults, and 2 126 participants completed questionnaires, physical examinations and biochemical tests. The average age of the 2 126 participants was (57.9±13.3) years, with 39.4% being males. The current smoking rates in male and female participants were 41.2% and 2.1%, respectively. The corresponding rates of current alcohol consumption were 19.0% and 2.6%. For common chronic diseases, the prevalence rates were 51.3% for hypertension, 9.7% for diabetes and 26.7% for hyperlipemia according to the self-reported disease diagnoses, health examination results and biochemical examination results in class Ⅱ or Ⅲ hospitals. Based on the family relationship information and genealogical data, 710 pedigrees were finally identified, consisting of 5 087 family members. The numbers of five, four, three, and two generations pedigrees were 3, 88, 238 and 381, respectively. The pairs of the first to the fifth degree relatives were 12 039, 2 662, 1 511, 202 and 31, respectively. Conclusion: The establishment of Fujian Tulou Family Cohort provides valuable resources for exploring the genetic risk factors, environmental risk factors and gene-environment interactions contributing to the risk of common chronic diseases.
Adolescent ; Adult ; Aged ; China/epidemiology* ; Chronic Disease/ethnology* ; Cohort Studies ; Diabetes Mellitus/ethnology* ; Family Health ; Female ; Gene-Environment Interaction ; Genetic Predisposition to Disease/ethnology* ; Humans ; Hyperlipidemias/ethnology* ; Hypertension/ethnology* ; Male ; Middle Aged ; Pedigree ; Prospective Studies ; Risk Factors ; Surveys and Questionnaires

INTRODUCTIONThe objectives of this current study were to: 1) examine the prevalence and correlates of diabetes mellitus (DM) among older adults (aged 60 years and above) in a multi-ethnic population; 2) examine the prevalence and correlates of comorbid DM and depression among them; and 3) assess the effect of comorbid depression on disability, cognition and healthcare utilisation.

MATERIALS AND METHODSData for the current study came from the Well-being of the Singapore Elderly (WiSE) study; a single phase, cross-sectional survey conducted among Singapore residents aged 60 years and above. A total of 2565 respondents completed the survey; depression was assessed using the Automated Geriatric Examination for Computer Assisted Taxonomy (AGECAT) while a diagnosis of DM was considered if respondents stated that a doctor had diagnosed them with DM.

RESULTSDM was reported by 25.5% of the population. The prevalence of depression was significantly higher in those diagnosed with DM than those without DM (6% vs 3%). After adjusting for sociodemographic correlates, smoking and other chronic conditions, DM remained significantly associated with depression and subsyndromal depression. However, after including measures of functioning and cognitive impairment as covariates, DM was not significantly related to depression and subsyndromal depression. Those with comorbid DM and depression were more likely to be of Indian and Malay ethnicity, aged 75 to 84 years (versus 60 to 74 years) and widowed.

CONCLUSIONGiven the significant association of certain sociodemographic groups with comorbid depression among those with DM, targeted interventions for prevention and early diagnosis in these groups should be considered.

Aged ; Aged, 80 and over ; Asian Continental Ancestry Group ; statistics & numerical data ; Comorbidity ; Cross-Sectional Studies ; Depression ; epidemiology ; Depressive Disorder ; epidemiology ; Diabetes Mellitus ; epidemiology ; Ethnic Groups ; statistics & numerical data ; Female ; Health Services ; utilization ; Humans ; India ; ethnology ; Malaysia ; ethnology ; Male ; Middle Aged ; Prevalence ; Severity of Illness Index ; Singapore ; epidemiology ; Surveys and Questionnaires

OBJECTIVETo assess the association of glucokinase regulator protein (GCKR) gene polymorphisms and type 2 diabetes (T2D) among ethnic Uygurs from Xinjiang, China.

METHODSOne thousand and six T2D patients and 1004 healthy controls were recruited. The rs780094 genotype of the GCKR gene was determined with a Sequenom Mass ARRAY system.

RESULTSThe distribution of GCKR rs780094 AA, AG and GG genotypes were not statistically different between the two groups (P>0.05). After adjusting confounding factors, an association of rs780094 with T2D was observed in an additive and dominant model (OR=1.181, 95%CI: 1.021-1.366, P=0.025; OR=1.296, 95%CI: 1.043-1.610, P=0.019). The total cholesterol level was higher in AA carriers than GG and GA carriers (P<0.05).

CONCLUSIONThe AA genotype of the GCKR rs780094 polymorphism may increase the risk of T2D among ethnic Uygurs from Xinjiang.

Adaptor Proteins, Signal Transducing ; genetics ; China ; ethnology ; Cholesterol ; blood ; Diabetes Mellitus, Type 2 ; blood ; etiology ; genetics ; Genotype ; Humans ; Logistic Models ; Polymorphism, Genetic

PURPOSE: This study determined which obesity measurement correlates the best with diabetes and prediabetes. MATERIALS AND METHODS: This cross-sectional study enrolled 1603 subjects (611 men, 992 women; age 30-64 years) at the Cardiovascular and Metabolic Diseases Etiology Research Center. Body mass index, waist circumference, waist-height ratio, waist-hip ratio, waist-thigh ratio, and visceral fat were used as measures of obesity. Visceral fat was acquired using dual-energy X-ray absorptiometry (DXA). The prevalences of diabetes and prediabetes were defined using the criteria in the American Diabetes Association 2015 guidelines. RESULTS: After adjusting for age and other potential confounding factors, participants with a visceral fat mass in the upper 10th percentile had a higher odds ratio (OR) for diabetes and prediabetes than the upper 10th percentile of other adiposity indices [men, OR=15.9, 95% confidence interval (CI)=6.4-39.2; women, OR=6.9, 95% CI=3.5-13.7]. Visceral fat mass also had the highest area under the curve with diabetes and prediabetes in both men (0.69, 95% CI=0.64-0.73) and women (0.70, 95% CI=0.67-0.74) compared to other anthropometric measurements of obesity. CONCLUSION: Visceral fat mass measured using DXA is an indicator of diabetes or prediabetes, due to its ability to differentiate between abdominal visceral and subcutaneous fat.
Absorptiometry, Photon ; *Adiposity ; Adult ; Anthropometry ; Asian Continental Ancestry Group/*statistics & numerical data ; Biomarkers/blood ; Body Mass Index ; Cross-Sectional Studies ; Diabetes Mellitus/*ethnology ; Female ; Humans ; *Intra-Abdominal Fat ; Male ; Middle Aged ; Obesity/complications/*ethnology ; Odds Ratio ; Prediabetic State/*ethnology ; Prevalence ; Prospective Studies ; Republic of Korea/epidemiology ; Waist Circumference

OBJECTIVE To assess the association of single nucleotide polymorphisms (SNPs) of susceptibility genes of type 2 diabetes mellitus (T2DM) with liability to gout among ethnic Han Chinese males from coastal region of Shandong province. METHODS Seven SNPs within the susceptibility genes of T2DM, including rs10773971(G/C) and rs4766398(G/C) of WNT5B gene, rs10225163(G/C) of JAZF1 gene, rs2069590(T/A) of BDKRB2 gene, rs5745709(G/A) of HGF gene, rs1991914(C/A) of OTOP1 gene and rs2236479(G/A) of COL18A1 gene, were typed with a custom-made Illumina GoldenGate Genotyping assay in 480 male patients with gout and 480 male controls. Potential association was assessed with the chi-square test. RESULTS No significant difference was detected for the 7 selected SNPs in terms of genotypic and allelic frequencies (P > 0.05). When age and body mass index (BMI) were adjusted, the 7 genetic variants still showed no significant association with gout. CONCLUSION The genotypes of the 7 selected SNPs are not associated with gout in ethnic Han Chinese male patients from the coastal region of Shandong province. However, the results need to be replicated in larger sets of patients collected from other regions and populations.
Adult ; Aged ; China ; ethnology ; Diabetes Mellitus, Type 2 ; genetics ; Ethnic Groups ; Genetic Predisposition to Disease ; Gout ; genetics ; Humans ; Male ; Middle Aged ; Polymorphism, Single Nucleotide

OBJECTIVETo investigate the risk factors for type 1 diabetes among Uygur children in Xinjiang, China, in order to provide a basis for the prevention of this disease among Uygur children in Xinjiang.

METHODSThe clinical data of 94 Uygur children with type 1 diabetes (case group) and 96 Uygur children without diabetes (control group) between January, 2003 and December, 2013, were retrospectively analyzed. The risk factors for type 1 diabetes among Uyghur children in Xinjiang were explored using univariate and multivariate analyses.

RESULTSAccording to the result of univariate analysis, there were significant differences in age, prodromal infection, residence, feeding method, time for intake of starchy foods, time for intake of high-fat foods, family history, islet-cell antibodies (ICA), insulin autoantibodies (IAA), and glutamic acid decarboxylase antibodies between the case and the control groups (P<0.05). According to the result of multivariate logistic analysis, older age, early intake of starchy foods, early intake of high-fat foods, prodromal infection, positive ICA, and positive IAA were major risk factors for type 1 diabetes, and breastfeeding was a protective factor.

CONCLUSIONSType 1 diabetes among Uyghur children in Xinjiang is caused by multiple factors. Prevention and reduction of prodromal infection, reasonable diet, and promotion of breastfeeding can reduce the risk of disease.

Adolescent ; Breast Feeding ; Child ; Child, Preschool ; China ; ethnology ; Diabetes Mellitus, Type 1 ; etiology ; Female ; Humans ; Infant ; Logistic Models ; Male ; Retrospective Studies ; Risk Factors