Search

Human studies about short-chain fatty acids (SCFAs), the gut microbiome, and Type 2 diabetes (T2DM) are limited. Here we explored the association between SCFAs and T2DM and the effects of gut microbial diversity on glucose status in rural populations. We performed a cross-sectional study from the Henan Rural Cohort and collected stool samples. Gut microbiota composition and faecal SCFA concentrations were measured by 16S rRNA and GC-MS. The population was divided based on the tertiles of SCFAs, and logistic regression models assessed the relationship between SCFAs and T2DM. Generalized linear models tested the interactions between SCFAs and gut microbial diversity on glucose indicators (glucose, HbAlc and insulin). Compared to the lowest tertile of total SCFA, acetate and butyrate, the highest tertile exhibited lower T2DM prevalence, with ORs and 95% CIs of 0.291 (0.085–0.991), 0.160 (0.044–0.574) and 0.171 (0.047–0.620), respectively. Restricted cubic spline demonstrated an approximately inverse S-shaped association. We also noted interactions of the ACE index with the highest tertile of valerate on glucose levels (P-interaction = 0.022) and the Shannon index with the middle tertile of butyrate on insulin levels (P-interaction = 0.034). Genus Prevotella_9 and Odoribacter were inversely correlated with T2DM, and the genus Blautia was positively associated with T2DM. These bacteria are common SCFA-producing members. Inverse S-shaped associations between SCFAs (total SCFA, acetate, and butyrate) and T2DM were observed. Valerate and butyrate modify glucose status with increasing gut microbial diversity. [ABSTRACT FROM AUTHOR]

Evidence of the relationship between fecal short-chain fatty acids (SCFA) levels, dietary quality and type 2 diabetes mellitus (T2DM) in rural populations is limited. Here, we aimed to investigate the association between fecal SCFA levels and T2DM and the combined effects of dietar quality on T2DM in rural China. In total, 100 adults were included in the case–control study. Dietary quality was assessed by the Alternate Healthy Eating Index 2010 (AHEI-2010), and SCFA levels were analysed using the GC-MS system. Generalised linear regression was conducted to calculate the OR and 95 % CI to evaluate the effect of SCFA level and dietary quality on the risk of T2DM. Finally, an interaction was used to study the combined effect of SCFA levels and AHEI-2010 scores on T2DM. T2DM participants had lower levels of acetic and butyric acid. Generalised linear regression analysis revealed that the OR (95 % CI) of the highest acetic and butyric acid levels were 0·099 (0·022, 0·441) and 0·210 (0·057, 0·774), respectively, compared with the subjects with the lowest tertile of level. We also observed a significantly lower risk of T2DM with acetic acid levels > 1330·106 μg/g or butyric acid levels > 585·031 μg/g. Moreover, the risks of higher acetic and butyric acid levels of T2DM were 0·007 (95 % CI: 0·001, 0·148), 0·005 (95 % CI: 0·001, 0·120) compared with participants with lower AHEI-2010 scores (all P < 0·05). Acetate and butyrate levels may be important modifiable beneficial factors affecting T2DM in rural China. Improving dietary quality for body metabolism balance should be encouraged to promote good health. [ABSTRACT FROM AUTHOR]

The relationship between reproductive factors and type 2 diabetes (T2D) is controversial; therefore, we explored the causal relationship of age at menarche (AAM), age at natural menopause (ANM), with the risk of T2D and glycemic traits using two-sample Mendelian randomization. We used publicly available data at the summary level of genome-wide association studies, where AAM (N = 329,345), ANM (N = 69,360), T2D (N = 464,389). The inverse variance weighting (IVW) method was employed as the primary method. To demonstrate the robustness of the results, we also conducted various sensitivity analysis methods including the MR-Egger regression, the weighted median (WM) and the MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test. After excluding IVs associated with confounders, we found a causal association between later AAM and reduced risk of T2D (OR 0.81 [95% CI 0.75, 0.87]; P = 2.20 × 10−8), lower levels of FI (β −0.04 [95% CI -0.06, −0.01]; P = 2.19 × 10−3), FPG (β −0.03 [95% CI -0.05, −0.007]; P = 9.67 × 10−5) and HOMA-IR (β −0.04 [95% CI -0.06, −0.01]; P = 4,95 × 10−3). As for ANM, we only found a causal effect with HOMA-IR (β −0.01 [95% CI -0.02, −0.005]; P = 1.77 × 10−3), but not with T2D. Our MR study showed a causal relationship between later AAM and lower risk of developing T2D, lower FI, FPG and HOMA-IR levels. This may provide new insights into the prevention of T2D in women. • This was a Mendelian randomization study with a large sample size. • The results of the study were validated by various sensitivity analysis methods. • Later menarche is causally associated with a reduced risk of type 2 diabetes. • Prematurely menopausal women are at high risk for type 2 diabetes. [ABSTRACT FROM AUTHOR]

Background: The study aimed to characterize the prevalence of alcohol consumption and further investigate the relationship between alcohol consumption and type 2 diabetes mellitus (T2DM).Methods: We studied 39,259 participants aged 18 to 79 years of the Henan Rural Cohort study. The associations between alcohol consumption and T2DM were examined using the logistic regression models and restricted cubic spline.Results: For men, alcohol abstinence was associated with an increased risk of T2DM (1.491(1.265, 1.758)), whereas current drinkers were not associated with T2DM (1.03(0.91, 1.15)). Further analysis of alcohol drinkers revealed that only high-risk drinkers of WHO drinking risk levels increased the risk of T2DM (1.289(1.061,1.566)) compared to never drinkers. The risk of T2DM increased as the age of starting to consume alcohol decreased and as the number of years of consuming alcohol and the alcohol intake increased only in men. We further found that the risk of T2DM decreased as the number of years of abstinence increases and no association between alcohol abstinence and T2DM was found after more than 10 years of abstinence among men.Conclusions: Our results suggested that reducing the amount of alcohol consumed and adhering to abstinence from alcohol consumption are beneficial in reducing the risk of T2DM.Trial Registration: The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 2015-07-06. http://www.chictr.org.cn/showproj.aspx?proj=11375. [ABSTRACT FROM AUTHOR]

Aims/Introduction: Studies have found that a plant‐based diet was associated with a lower risk of type 2 diabetes, but evidence is scarce on such associations in China. The aim of this study was to investigate whether a plant‐based diet is related to a lower risk of type 2 diabetes among Chinese adults. Materials and Methods: A total of 37,985 participants were enrolled from the Henan Rural Cohort Study. An overall plant‐based diet index (PDI) was created by assigning positive and reverse scores to 12 commonly consumed food groups. Multivariate logistic regression models and restricted cubic spline analysis were performed to estimate the odds ratio (OR) and 95% confidence interval (95% CI). Results: After multivariable adjustment, the risk of type 2 diabetes was inversely associated with the PDI (extreme‐quartile OR = 0.88, 95% CI: 0.79–0.98; P = 0.027), the risk associated with a 1 standard deviation (SD) increase in PDI was 4% lower (95% CI, 0.93–1.00; P trend = 0.043) for type 2 diabetes. Moreover, the odds of type 2 diabetes was decreased with an increment of PDI after fitting restricted cubic splines (Ptrend < 0.01). Conclusions: Among Chinese populations, diets higher in plant foods and lower in animal foods were associated with a reduced risk of type 2 diabetes. [ABSTRACT FROM AUTHOR]

Background: The study aimed to investigate the independent and combined effects of midpoint of sleep and night sleep duration on type 2 diabetes mellitus (T2DM) in areas with limited resources.Methods: A total of 37,276 participants (14,456 men and 22,820 women) were derived from the Henan Rural Cohort Study. Sleep information was assessed based on the Pittsburgh Sleep Quality Index. Logistic regression models and restricted cubic splines were used to estimate the relationship of the midpoint of sleep and night sleep duration with T2DM.Results: Of the 37,276 included participants, 3580 subjects suffered from T2DM. The mean midpoint of sleep among the Early, Intermediate and Late groups were 1:05 AM ±23 min, 1:56 AM ±14 min, and 2:57 AM ±34 min, respectively. Compared to the Intermediate group, adjusted odds ratios (ORs) and 95% confidence interval (CI) of T2DM were 1.13 (1.04-1.22) and 1.14 (1.03-1.26) in the Early group and the Late group. Adjusted OR (95% CI) for T2DM compared with the reference (7- h) was 1.28 (1.08-1.51) for longer (≥ 10 h) night sleep duration. The combination of late midpoint of sleep and night sleep duration (≥ 9 h) increased 38% (95% CI 10-74%) prevalence of T2DM. These associations were more obvious in women than men.Conclusions: Late and early midpoint of sleep and long night sleep duration were all associated with higher prevalence of T2DM. Meanwhile, midpoint of sleep and night sleep duration might have combined effects on the prevalence of T2DM, which provided potential health implications for T2DM prevention, especially in rural women.Trial Registration: The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699 ). Date of registration: 2015-07-06. [ABSTRACT FROM AUTHOR]

This meta-analysis aimed to quantitatively examine the possible associations between total meat, red meat, processed meat, poultry and fish intakes and type 2 diabetes (T2D). Relevant articles were identified in PubMed, Embase and Web of Science databases using a search time up to January 2019. Generalized least-squares trend estimations and restricted cubic spline regression models were used for analysis. Twenty-eight articles were included in the analysis. When comparing the highest with the lowest category of meat intake, the summary relative risk of T2D was 1.33 (95% CI: 1.16–1.52) for total meat, 1.22 (95% CI: 1.16–1.28) for red meat, 1.25 (95% CI: 1.13–1.37) for processed meat, 1.00 (95% CI: 0.93–1.07) for poultry and 1.01 (95% CI: 0.93–1.10) for fish. In the dose–response analysis, each additional 100 g/day of total and red meat, and 50 g/day of processed meat, were found to be associated with a 36% (95% CI: 1.23–1.49), 31% (95% CI: 1.19–1.45) and 46% (95% CI: 1.26–1.69) increased risk of T2D, respectively. In addition, there was evidence of a non-linear dose–response association between processed meat and T2D (P = 0.004), with the risk increasing by 30% with increasing intakes up to 30 g/day. Our meta-analysis has shown a linear dose–response relationship between total meat, red meat and processed meat intakes and T2D risk. In addition, a non-linear relationship of intake of processed meat with risk of T2D was detected. [ABSTRACT FROM AUTHOR]

Introduction: Group-specific component (GC) and cytochrome P450 family 2 subfamily R member 1 (CYP2R1) gene polymorphisms and obesity have been associated with an increased risk for development of type 2 diabetes mellitus (T2DM) in Asian populations. Objective: This study assessed the associations of interactions between GC gene variants and CYP2R1 gene variants and between genes and obesity with T2DM risk. Methods: A study that included 2,271 subjects was performed. Eight single nucleotide polymorphisms in the GC and CYP2R1 genes were genotyped. Interaction analysis was performed using rs7041 in the GC gene and rs1993116 in the CYP2R1 gene. The effects of multiplicative and additive gene-gene and gene-environment interactions on T2DM risk were assessed. Results: The T2DM risk was significantly associated with being overweight/obese, abdominal obesity, rs7041, and rs1993116. A significant additive interaction between rs1993116 and rs7041 was associated with T2DM. In addition, there was a significant multiplicative interaction between rs7041 and body mass index (BMI) associated with elevated blood glucose levels, and at a higher BMI (>28.47), the G allele carrier showed a stronger effect than the TT genotype. Conclusions: The interactions between GC rs7041-CYP2R1 rs1993116 and GC rs7041-BMI may explain the mechanisms by which these factors increase the risk of T2DM development. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to explore the independent and combined dose-response association of napping and night sleep duration with type 2 diabetes mellitus (T2DM) among different genders in the rural Chinese population.Methods: For this research, a total of 19,257 participants were enrolled in the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study. Napping and night sleep duration were assessed using the Pittsburgh Sleep Quality Index (PSQI). Restricted cubic splines and logistic regression were used to estimate the relationship between napping and night sleep duration with T2DM.Results: A linear dose-response relationship between napping duration and T2DM as well as a U-shaped relationship between night sleep duration and T2DM were found. Compared with those who reported no napping, participants who had a napping duration of ≥91 min were associated with a 19% increase in prevalence of T2DM. Adjusted odds ratios (ORs) (95% confidence intervals (CIs)) for T2DM were 1.48 (1.03, 2.14) and 1.50 (1.22, 1.85) for shorter (≤5 h) and longer (>9 h) night sleep duration compared with the referential group. Additionally, the combination of longer napping duration (≥91 min) and night sleep duration (>9 h) increased 104% (95% CI: 45%, 128%) prevalence for T2DM. These associations were not found in males but were evident in females.Conclusions: Longer napping duration and extreme night sleep duration increased the prevalence of T2DM. Meanwhile, longer napping and night sleep duration might be jointly associated with a higher prevalence of T2DM. [ABSTRACT FROM AUTHOR]

Objective: To collectively evaluate the association of glucose-6-phosphatase catalytic unit 2 (G6PC2) allele variants with elevated fasting glucose (FG) and type 2 diabetes (T2D). Design: Meta-analysis Data sources: PubMed, Web of Knowledge and Embase databases. Study selection: Full text articles of studies that identified an association of G6PC2 with T2D and elevated FG. Patient involvement: There was no T2D patient involvement in the analyses on the association of FG with G6PC2, there were T2D patients and non-diabetes patient involvement in the analyses on the association of T2D with G6PC2. Statistical analysis: Random-effects meta-analyses were used to calculate the pool effect sizes. I2 metric and H2 tests were used to calculate the heterogeneity. Begg's funnel plot and Egger’s linear regression test were done to assess publication bias. Results: Of the 423 studies identified, 21 were eligible and included. Data on three loci (rs560887, rs16856187 and rs573225) were available. The G allele at rs560887 in three ethnicities, the C allele at rs16856187 and the A allele at rs573225 all had a positive association with elevated FG. Per increment of G allele at rs560887 and A allele at rs573225 resulted in a FG 0.070 mmol/l and 0.075 mmol/l higher (ß (95% CI) = 0.070 (0.060, 0.079), p = 4.635e-50 and 0.075 (0.065, 0.085), p = 5.856e-48, respectively). With regard to the relationship of rs16856187 and FG, an increase of 0.152 (95% CI: 0.034–0.270; p = 0.011) and 0.317 (95% CI: 0.193–0.442, p = 6.046e-07) was found in the standardized mean difference (SMD) of FG for the AC and CC genotypes, respectively, when compared with the AA reference genotype. However, the G-allele of rs560887 in Caucasians under the additive model and the C-allele of rs16856187 under the allele and dominant models were associated with a decreased risk of T2D (OR (95% CI) = 0.964 (0.947, 0.981), p = 0.570e-4; OR (95% CI) = 0.892 (0.832, 0.956), p = 0.001; and OR (95% CI) = 0.923(0.892, 0.955), p = 5.301e-6, respectively). Conclusions: Our meta-analyses demonstrate that all three allele variants of G6PC2 (rs560887, rs16856187 and rs573225) are associated with elevated FG, with two variants (rs560887 in the Caucasians subgroup and rs16856187 under the allele and dominant model) being associated with T2D as well. Further studies utilizing larger sample sizes and different ethnic populations are needed to extend and confirm these findings. [ABSTRACT FROM AUTHOR]

Background: The consistency and strength of the relationship between napping duration and type 2 diabetes mellitus (T2DM) remained uncertain, especially in the rural population. The purpose of this study was to explore the relationship between napping duration and T2DM in a Chinese rural population.Methods: A total of 12663 participants (4365 males and 8298 females) were derived from the RuralDiab study in China. Napping duration was obtained through a standardized questionnaire, and was divided into five categories: no napping (reference), 1∼, 31∼, 61∼, and ≥91 min. Fasting blood glucose was measured. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). A meta-analysis including seven studies was conducted to validate the result of the RuralDiab study.Results: The crude and age-standardized prevalence of T2DM were 10.31% and 8.14%, respectively. Compared with no napping, the adjusted OR (95%CI) for napping duration ≥91 min was 1.23 (1.05-1.45). A similar relationship was found only in females aged 45-54 years, but not in males and other age group females. In addition, napping duration was associated with T2DM in a positive dose-dependent manner among females aged 45-54 years (P for trend <0.05). The meta-analysis demonstrated this association, and the pooled OR (95%CI) for the longest napping duration compared with no napping was 1.28 (1.22-1.35).Conclusion: Longer napping duration is associated with higher risk of T2DM in the Chinese rural population, and this association varies across gender and age. Further multi-center prospective researches are needed to confirm the relationship and reveal underlying mechanisms. [ABSTRACT FROM AUTHOR]

There are increasing numbers of studies investigating the potential link between microRNAs (miRNAs) and type 2 diabetes mellitus (T2DM) risk. Based on the prior evidence and the differentially expressed candidate plasma exosome miRNAs in our established discovery study, the current meta-analysis studied miR-126 and miR-122 specifically. The purpose of the present study was to systematically and quantitatively evaluate the relationship of miR-126 and miR-22 expression level with T2DM risk as well as related glucose metabolism parameters. Moreover, the present study was performed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline (PRISMA 2020 statement). PubMed, Embase, Web of Science, Cochrane and Chinese National Knowledge Infrastructure electronic databases were used to identify eligible original studies prior to May 3, 2022. The random-effects models were employed to explore the overall effect estimates [odds ratio (OR) and 95% confidence interval (CI), or correlation coefficient (r, 95% CI)]. The subgroup analyses were conducted to examine the potential sources of heterogeneity. The potential publication bias was assessed by the Begg's funnel plot and Egger's tests. A total of 46 articles were included in the present meta-analysis. The results revealed that higher exposure level of miR-126 was related to lower T2DM risk in 5 analytical epidemiological studies [OR=0.73, 95% CI: (0.55, 0.96)], lower fasting blood glucose (FBG) [N=22, r=-0.26, 95% CI: (-0.42, -0.10)], and lower homeostasis model assessment of insulin resistance (HOMA-IR) index [N=9, r=-0.28, 95% CI: (-0.52, -0.05)]. Besides, positive correlations were observed between miR-122 expression and FBG [N=10, r=0.34, 95% CI: (0.20, 0.48)], as well as HOMA-IR index [N=9, r=0.40, 95% CI: (0.16, 0.64)]. The relationship of miR-126 and miR-122 expression with T2DM risk and these glucose metabolism parameters may be influenced by study types, sample size, different source and mean age of participants. In conclusion, in the general healthy population, higher miR-126 expression was related to lower T2DM risk, FBG level and HOMA-IR index; higher miR-122 expression was closely correlated with higher FBG level and HOMA-IR index. These findings have notable clinical and public health implications for screening and control glucose metabolic disorders, insulin resistance and T2DM development. [ABSTRACT FROM AUTHOR]

The relationship between dietary protein consumption and the risk of type 2 diabetes (T2D) has been inconsistent. The aim of this meta-analysis was to explore the relations between dietary protein consumption and the risk of T2D. We conducted systematic retrieval of prospective studies in PubMed, Embase, and Web of Science. Summary relative risks were compiled with a fixed effects model or a random effects model, and a restricted cubic spline regression model and generalized least squares analysis were used to evaluate the diet–T2D incidence relationship. T2D risk increased with increasing consumption of total protein and animal protein, red meat, processed meat, milk, and eggs, respectively, while plant protein and yogurt had an inverse relationship. A non-linear association with the risk for T2D was found for the consumption of plant protein, processed meat, milk, yogurt, and soy. This meta-analysis suggests that substitution of plant protein and yogurt for animal protein, especially red meat and processed meat, can reduce the risk for T2D. [ABSTRACT FROM AUTHOR]

Background: The purpose of this study was to evaluate the effect of single-nucleotide polymorphisms (SNPs) of the GCKR and G6PC2 genes on risk for type 2 diabetes and the SNP-SNP and haplotype-based interactions between these genes. Methods: Subjects of this nested case-control study were selected from a prospective cohort residing in the rural area of Luoyang city in China. Cases ( n = 538) were individually matched with controls. Six SNPs in the GCKR and G6PC2 genes were selected and genotyped using an SNPscan™ kit. Stratified Cox proportional hazards regression models were used to generate odds ratios (ORs) and 95% confidence intervals (CI) for different genotype models for the risk of T2DM. Generalized multifactor dimensionality reduction (GMDR) was used to analyze the interactions between two genes with among six SNPs. The linkage disequilibrium (LD) analysis and the haplotype analysis were carried out by SHEsis online. Results: We found that the C allele of rs780094 was associated with increased risk for T2DM in Han Chinese population. However, the rs492594-C allele in G6PC2 was associated with a decreased risk of T2DM. We also found a significant SNP-SNP interaction between rs2293572 and rs492594, and the CCCCGC and CGCCCA haplotypes significantly increased the risk of T2DM, however, the CCCCCA haplotype had lower susceptibility to T2DM. Conclusion: The results suggest that the GCKR and G6PC2 genes may contribute to the risk of T2DM independently and/or in an interactive manner in the Han Chinese population. [ABSTRACT FROM AUTHOR]

Background: The prevalence of dyslipidemia continue to increase in recent decades in China, however, little is known about the recent prevalence, awareness, treatment, control, and potential risk factors of dyslipidemia in the rural areas of China. Methods: A total of 39,207 participants aged 18–79 years were recruited for the epidemiological research from the Henan Rural Cohort study. The age- and sex-adjusted means (95% confidence intervals, CI) of serum lipid levels or percentages of prevalence, awareness, treatment, and control overall and in various population subgroups were estimated and compared by multiple linear regression or logistic regression. The multivariable logistic regression model was used to explore the associations between the socio-demographic factors and the prevalence, awareness, treatment and control of dyslipidemia. Results: The age- and sex-adjusted mean levels (95%CI) of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were 4.76(4.75–4.77), 1.68(1.67–1.69),1.33(1.32–1.33), and 2.87 (2.86–2.88) mmol/L, respectively. Overall, the age-standardized prevalence of dyslipidemia was 32.21% (42.85% in men vs. 26.16% in women) in Chinese rural adults, with 5.11, 16.00, 19.27, and 4.76% for high TC, high TG, low HDL-C and high LDL-C, respectively. The age-standardized awareness, treatment and control of dyslipidemia were 15.07, 7.23, and 3.25%, respectively, which were higher in women than men, and increased steeply with age (Ptrend < 0.05). The proportion of prevalence, awareness, treatment, control of dyslipidemia differed significantly among various subpopulations while the awareness, treatment, and control rates were universally low in all subgroups (< 54, 36, and 15%, respectively). Increasing age, men, unhealthy lifestyles, positive family history of dyslipidemia, abnormal weight, type 2 diabetes mellitus and hypertension were independent risk factors of dyslipidemia. Conclusion: Dyslipidemia was common with unacceptably low awareness, treatment and control rates in rural China. Therefore, effective strategies are necessary for improving the status of the prevention, diagnosis, treatment, control of dyslipidemia in Chinese rural residents. Trial registration: ChiCTR-OOC-15006699 [ABSTRACT FROM AUTHOR]

Aims: This cross-sectional study aimed to investigate triglyceride level among Chinese elderly population with different diabetic progressions and related factors of triglyceride.Methods: Study participants (≥65years) were recruited from a nationwide cross-sectional surveillance and were divided into four subgroups according to diabetic progression. Their information was obtained via questionnaire and physical examination. Their lipids in fasting serum samples were analyzed.Results: The serum triglyceride levels (mmol/L, mean±SD) were 1.3±0.8 (subgroup of no prediabetes and no DM), 1.5±1.0 (subgroup of prediabetes), 1.6±1.1 (subgroup of newly diagnosed DM) and 1.7±1.1 (subgroup of previously diagnosed DM), respectively. Only one female participant had a higher triglyceride than upper limit for prevention of acute pancreatitis (11.0mmol/L). However, 23.1% of participants and 34.8% of DM participants had higher triglyceride than upper limit for prevention of cardiovascular diseases (1.7mmol/L). Triglyceride level was positively correlated with diabetic progression (rs=0.17, p<0.01). Age, gender, waist-to-height ratio (rather than BMI), systolic pressure, serum total cholesterol and HDL-C levels were statistically correlated with triglyceride level for total participants (R2=0.39, p<0.01).Conclusions: Aggravation of serum triglyceride level was related to diabetic progression in Chinese elderly population. Triglyceride control was unsatisfactory in Chinese elderly population, especially in elderly population with DM. [ABSTRACT FROM AUTHOR]