Impact of health practice index and cardiovascular health metrics on incident cardiovascular disease according to glucose tolerance status.

Aims: To evaluate and compare the association of incident cardiovascular disease (CVD) with the Health Practice Index (HPI) reflecting only lifestyle habits and Ideal Cardiovascular Health Metrics (ICVHMs) consisting of lifestyle habits and factors targeted for control in the same population according to glucose status. Methods: This retrospective cohort study included 1,28,162 participants aged 18-72 years with no history of CVD followed for ≥ 3 years between 2008 and 2016. Participants were classified according to normal glucose tolerance (86,174), prediabetes (36,096), or diabetes (5892). HPI and ICVHMs scores were classified into three groups (high/medium/low). Multivariate Cox regression hazard analysis examined CVD risk. Results: During a mean follow-up of 5.2 years, 1057 CVD events occurred. In prediabetes, CVD risk was significantly higher in groups with both medium and low HPI scores and ICVHMs scores compared to high scores for normal glucose tolerance (hazard ratios [HRs] for high/medium/low HPI scores were 0.95 [0.78-1.17], 1.56 [1.29-1.89], and 2.41 [1.74-3.34] and for ICVHMs scores were 0.74 [0.50-1.11], 1.58 [1.26-1.98], and 2.63 [2.10-3.31], respectively). Regarding diabetes, compared with high HPI/ICVHMs scores in the normal glucose tolerance group, a significantly increased CVD risk was observed in the high-score HPI group, but not in the high-score ICVHMs group (HPI high/medium/low HR, 1.63 [1.22-2.18], 2.19 [1.69-2.83], and 2.26 [1.34 -3.83]; ICVHMs high/medium/low HR, 1.14 [0.47-2.81], 2.38 [1.75-3.23], and 3.31 [2.50-4.38], respectively). Conclusions: In diabetes, ideal lifestyle practices alone were insufficient for primary prevention of CVD but had a greater impact on primary prevention of CVD in prediabetes. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-024-00708-7.

Differential association of dietary scores with the risk of type 2 diabetes by metabotype.

PURPOSE: We aimed to examine the association between dietary patterns and type 2 diabetes mellitus (T2DM) while considering the potential effect modification by metabolic phenotypes (metabotypes). Additionally, we aimed to explore the association between dietary scores and prediabetes. METHODS: A total of 1460 participants (11.8% with T2DM) from the cross-sectional population-based KORA FF4 study were included. Participants, classified into three metabotype subgroups, had both their FSAm-NPS dietary index (underpinning the Nutri-Score) and ultra-processed foods (UPF) intake (using NOVA classification) calculated. Glucose tolerance status was assessed via oral glucose tolerance tests (OGTT) in non-diabetic participants and was classified according to the American Diabetes Association criteria. Logistic regression models were used for both the overall and metabotype-stratified analyses of dietary scores' association with T2DM, and multinomial probit models for their association with prediabetes. RESULTS: Participants who had a diet with a higher FSAm-NPS dietary index (i.e., a lower diet quality) or a greater percentage of UPF consumption showed a positive association with T2DM. Stratified analyses demonstrated a strengthened association between UPF consumption and T2DM specifically in the metabolically most unfavorable metabotype (Odds Ratio, OR 1.92; 95% Confidence Interval, CI 1.35, 2.73). A diet with a higher FSAm-NPS dietary index was also positively associated with prediabetes (OR 1.19; 95% CI 1.04, 1.35). CONCLUSION: Our study suggests different associations between poorer diet quality and T2DM across individuals exhibiting diverse metabotypes, pointing to the option for stratified dietary interventions in diabetes prevention.

Associations between metabolic score for visceral fat and the risk of cardiovascular disease and all-cause mortality among populations with different glucose tolerance statuses.

AIMS: To investigate the associations between metabolic score for visceral fat (METS-VF) and clinical outcomes among populations with different glucose tolerance statuses. METHODS: We analysed 6827 participants aged ≥ 40 years with different glucose tolerance statuses from a cohort study. The associations between METS-VF and cardiovascular disease (CVD) events and all-cause mortality were assessed using Cox regression, restricted cubic spline and receiver operating characteristic curves. RESULTS: During a follow-up of 5.00 years, there were 338 CVD events and 307 subjects experienced all-cause death. The METS-VF quartile (Quartile 4 versus 1) was significantly related to CVD events [adjusted HRs and 95% CIs: 5.75 (2.67-12.42), 2.80 (1.76-4.48), and 3.31 (1.28-8.54) for subjects with normal glucose tolerance, prediabetes and diabetes, respectively] and all-cause mortality [adjusted HRs and 95% CIs: 2.80 (1.43-5.49), 4.15 (2.45-7.01), and 4.03 (1.72-9.42), respectively]. Restricted cubic spline suggested a dose-response association of METS-VF with the risk of CVD events and all-cause mortality. The area under curve for CVD events and all-cause mortality was higher for METS-VF than for the other obesity and IR indexes in subjects with different glucose tolerance statuses. CONCLUSIONS: The METS-VF was associated with an increased risk of CVD events and all-cause mortality and could be used as a predictive index of the risk of CVD events and all-cause mortality among populations with different glucose tolerance statuses.

Association of sex hormone binding globulin with gestational age and parity in gestational diabetes mellitus.

OBJECTIVE: Recent research on sex hormone binding globulin (SHBG) has emphasized its role in the prediction of gestational diabetes mellitus (GDM) development. SHBG is associated with glucose tolerance status, and its level is regulated by prenatal and perinatal factors during pregnancy. This study aimed to determine the levels of SHBG in pregnant women with normal glucose tolerance and those with GDM in association with parity and gestational age (weeks). MATERIALS AND METHODS: This cross-sectional study enrolled 218 pregnant women (165 controls and 53 women with GDM). Serum SHBG levels were analyzed using enzyme-linked immunosorbent assay. The association of SHBG with gestational age was assessed using multivariate regression analysis after adjustment for GDM-related risk factors. RESULTS: Parity sub-group analyses indicated the presence of significant differences in the SHBG levels between nulliparous women in the GDM and control groups (p = .04). Moreover, in the GDM group, SHBG was significantly associated with gestational age beyond the risk factors of GDM. CONCLUSION: This study demonstrated a strong association between SHBG and gestational age in women with GDM. Our findings suggest that parity and gestational age should be considered in the analysis of SHBG as a marker for GDM diagnosis.

Association between dietary patterns and prediabetes, undetected diabetes or clinically diagnosed diabetes: results from the KORA FF4 study.

PURPOSE: Diet is one of the most important modifiable risk factors for the development of type 2 diabetes. Here, we aim to identify dietary patterns and to investigate their association with prediabetes, undetected diabetes and prevalent diabetes. METHODS: The present study included 1305 participants of the cross-sectional population-based KORA FF4 study. Oral glucose tolerance test (OGTT) measurements together with a physician-confirmed diagnosis allowed for an accurate categorization of the participants according to their glucose tolerance status into normal glucose tolerance (n = 698), prediabetes (n = 459), undetected diabetes (n = 49), and prevalent diabetes (n = 99). Dietary patterns were identified through principal component analysis followed by hierarchical clustering. The association between dietary patterns and glucose tolerance status was investigated using multinomial logistic regression models. RESULTS: A Prudent pattern, characterized by high consumption of vegetables, fruits, wholegrains and dairy products, and a Western pattern, characterized by high consumption of red and processed meat, alcoholic beverages, refined grains and sugar-sweetened beverages, were identified. Participants following the Western pattern had significantly higher chances of having prediabetes (odds ratio [OR] 1.92; 95% confidence interval [CI] 1.35, 2.73), undetected diabetes (OR 10.12; 95% CI 4.19, 24.43) or prevalent diabetes (OR 3.51; 95% CI 1.85, 6.67), compared to participants following the Prudent pattern. CONCLUSION: To our knowledge, the present study is one of the few investigating the association between dietary patterns and prediabetes or undetected diabetes. The use of a reference group exclusively including participants with normal glucose tolerance might explain the strong associations observed in our study. These results suggest a very important role of dietary habits in the prevention of prediabetes and type 2 diabetes.

Association of serum fibroblast growth factor 19 levels with visceral fat accumulation is independent of glucose tolerance status.

BACKGROUND AND AIMS: Recent studies suggested that circulating fibroblast growth factor (FGF) 19 levels might be associated with the fat content and distribution, and varied with different glucose tolerance status. This study aimed to investigate the association of serum FGF19 levels with obesity and visceral fat accumulation in a Chinese population with differing glucose tolerance status. METHODS AND RESULTS: The 2383 participants were divided into subgroups of glucose tolerance status: normal glucose tolerance (NGT, n = 1754), impaired glucose regulation (IGR, n = 499), and newly diagnosed diabetes mellitus (DM, n = 130). They were further stratified into quartiles of serum FGF19 levels (Q1-Q4). Visceral fat area (VFA) and subcutaneous fat area were measured using magnetic resonance imaging. FGF19 were detected via quantitative sandwich enzyme-linked immunosorbent assay. Serum FGF19 levels showed a downtrend across the NGT, IGR, and DM groups (P for trend = 0.016). VFA was an independent and negative factor of serum FGF19 levels (standardized ß = -0.108, P = 0.001). After adjustment for glucose tolerance status, VFA differed significantly among FGF19 quartiles (P < 0.001), showing a downtrend from Q1-Q4. The associations of serum FGF19 levels and glucose tolerance status with VFA were independent of each other. After adjustment for insulin resistance and secretory function separately, VFA still decreased significantly from Q1-Q4 (all P < 0.001). CONCLUSION: Serum FGF19 levels were related to visceral fat accumulation. Independent of glucose tolerance status, serum FGF19 levels were inversely associated with VFA.

Impact of body mass index and metabolic phenotypes on coronary artery disease according to glucose tolerance status.

OBJECTIVE: This study aimed to examine the impact of obesity, as defined by body mass index (BMI), and a metabolically unhealthy phenotype on the development of coronary artery disease (CAD) according to glucose tolerance status. METHODS: This population-based retrospective cohort study included 123,746 Japanese men aged 18-72years (normal glucose tolerance: 72,047; prediabetes: 39,633; diabetes: 12,066). Obesity was defined as a BMI≥25kg/m2. Metabolically unhealthy individuals were defined as those with one or more of the following conditions: hypertension, hypertriglyceridaemia and/or low HDL cholesterol. A Cox proportional hazards regression model identified variables related to CAD incidence. RESULTS: The prevalences of obese subjects with normal glucose tolerance, prediabetes and diabetes were 21%, 34% and 53%, whereas those for metabolically unhealthy people were 43%, 60% and 79%, respectively. Multivariate analysis showed that a metabolically unhealthy phenotype increases hazard ratios (HRs) for CAD compared with a metabolically healthy phenotype, regardless of glucose tolerance status (normal glucose tolerance: 1.98, 95% CI: 1.32-2.95; prediabetes: 2.91, 95% CI: 1.85-4.55; diabetes: 1.90, 95% CI: 1.18-3.06). HRs for CAD among metabolically unhealthy non-obese diabetes patients and obese diabetes patients with a metabolically unhealthy status were 6.14 (95% CI: 3.94-9.56) and 7.86 (95% CI: 5.21-11.9), respectively, compared with non-obese subjects with normal glucose tolerance and without a metabolically unhealthy status. CONCLUSION: A metabolically unhealthy state can associate with CAD independently of obesity across all glucose tolerance stages. Clinicians may need to consider those with at least one or more conditions indicating a metabolically unhealthy state as being at high risk for CAD regardless of glucose tolerance status.

Impact of glucose tolerance status on the development of coronary artery disease among working-age men.

AIMS: To examine the impact of glucose tolerance status on the development of coronary artery disease (CAD) in working-age men in Japan. METHODS: This population-based retrospective cohort study included 111,621 men aged 31-60 years [63,558 with normal glucose tolerance (NGT); 37,126 with prediabetes; 10,937 with diabetes]. The Cox proportional-hazards regression model was used to identify variables related to the incidence of CAD. RESULTS: Multivariate analysis showed that, compared with NGT, diabetes increased the risk of CAD by 17.3 times (95% CI: 6.36-47.0) at ages 31-40 years, by 2.74 times (95% CI: 1.85-4.05) at ages 41-50 years and by 2.47 times (95% CI: 1.69-3.59) at ages 51-60 years. The HRs for CAD in men with diabetes aged 31-40 equaled that of men with NGT aged 51-60 [18.2 (7.15-46.4) and 19.4 (8.28-45.4), respectively]. CONCLUSION: The impact of diabetes on CAD was markedly greater in men aged 31-40 years compared with those aged 41-60 years.

The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio as a predictor of insulin resistance but not of ß cell function in a Chinese population with different glucose tolerance status.

BACKGROUND: Triglyceride/high-density lipoprotein-cholesterol (TG/HDL-C) ratio was a surrogate marker of IR; however, the relationship of TG/HDL-C with IR might vary by ethnicity. This study aims to investigate whether lipid ratios-TG/HDL-C, cholesterol/high-density lipoprotein-cholesterol (TC/HDL-C) ratio, low-density lipoprotein-cholesterol/high-density lipoprotein-cholesterol (LDL-C/HDL-C)) could be potential clinical markers of insulin resistance (IR) and ß cell function and further to explore the optimal cut-offs in a Chinese population with different levels of glucose tolerance. METHODS: Four hundred seventy-nine subjects without a history of diabetes underwent a 75 g 2 h Oral Glucose Tolerance Test (OGTT). New-onset diabetes (n = 101), pre-diabetes (n = 186), and normal glucose tolerance (n = 192) were screened. IR was defined by HOMA-IR > 2.69. Based on indices (HOMA-ß, early-phase disposition index [DI30], (ΔIns30/ΔGlu30)/HOMA-IR and total-phase index [DI120]) that indicated different phases of insulin secretion, the subjects were divided into two groups, and the lower group was defined as having inadequate ß cell compensation. Logistic regression models and accurate estimates of the areas under receiver operating characteristic curves (AUROC) were obtained. RESULTS: In all of the subjects, TG/HDL, TC/HDL-C, LDL-C/HDL-C, and TG were significantly associated with IR. The AUROCs of TG/HDL-C and TG were 0.71 (95 % CI: 0.66-0.75) and 0.71 (95 % CI: 0.65-0.75), respectively. The optimal cut-offs of TG/HDL-C and TG for IR diagnosis were 1.11 and 1.33 mmol/L, respectively. The AUROCs of TC/HDL-C and LDL-C/HDL-C were 0.66 and 0.65, respectively, but they were not acceptable for IR diagnosis. TG/HDL-C,LDL-C/HDL-C and TG were significantly associated with HOMA-ß, but AUROCs were less than 0.50; therefore, the lipid ratios could not be predictors of basal ß cell dysfunction. None of the lipid ratios was associated with early-phase insulin secretion. Only TG/HDL-C and TG were significantly correlated with total-phase insulin secretion, but they also were not acceptable predictors of total-phase insulin secretion (0.60 < AUROC < 0.70). CONCLUSIONS: In a Chinese population with different levels of glucose tolerance, TG/HDL-C and TG could be the predictors of IR. The lipid ratios could not be reliable makers of ß cell function in the population.

Association of C-reactive protein levels with fasting and postload glucose levels according to glucose tolerance status.

BACKGROUND AND AIMS: Several studies show that high serum C-reactive protein (CRP) levels are associated with an increased risk of diabetes, data that strongly supports a possible role for inflammation in diabetogenesis. The aim of this study was to determine whether elevated CRP levels are associated with fasting plasma glucose (FPG) and/or postload glucose levels according to the glucose tolerance status. METHODS: A total of 169 healthy males and non-pregnant females aged 18-65 years were enrolled in a population-based cross-sectional study. Individuals were allocated into groups with a new diagnosis of normal glucose tolerance (NGT) (n = 82), impaired fasting glucose (IFG) (n = 54), and impaired glucose tolerance (IGT) (n = 33). Elevated CRP was defined by CRP levels >3.0 and <10.0 mg/L, IFG by FPG ≥100 and <126 mg/dL, and IGT by plasma glucose concentration 2 h postload ≥140 and <200 mg/dL. A multiple regression linear analysis adjusted by body mass index, waist circumference, and lipid profile was performed to evaluate the association between CRP levels (independent variable) with FPG and 2 h postload glucose levels (dependent variables). RESULTS: Multivariate linear regression analysis showed a significant association between hsCRP levels with FPG (ß = 0.536; 95% CI 1.03-5.1, p = 0.005) and 2 h postload glucose (ß = 0.209; 95% CI 1.31-2.97, p = 0.01) in the IGT group, but not with FPG (ß = 0.147; 95% CI 0.55-2.0, p = 0.25) and 2 h postload glucose (ß = 0.151; 95% CI 0.83-3.2, p = 0.24) in the IFG group. CONCLUSIONS: Elevated CRP levels are associated with FPG and 2 h postload glucose in the individuals with IGT, but not in subjects with IFG or NGT.

Correlations between obesity and arterial stiffness among population of different glucose tolerance status / 局解手术学杂志

Objective To analyze the relationship between obesity and arterial stiffness among population of different glucose tolerance status. Methods A cross-sectional study recruited the population aged 40 years or older from ShiJingShan district in Beijing. 9080 subjects were included by measured weight, waist circumference (WC), body mass index (BMI), waist/hip ratio (WHR) and WC/height ratio (WHtR) and hemodynamic indexes and the aortic stiffness (using brachial-ankle pulse wave velocity(baPWV). They were divided into 3 groups based on the results of OGTT and diabetes history: normal glucose tolerance group ( NGT group) ,impaired glucose regulation group ( IGR group) and diabetes mellitus group ( DM group) . The association between baPWV and different obese indexes was analyzed by multi-ple linear regression. Results According to the criterion of WC, WHR and WHtR, baPWV of central obesity group was significantly higher than the normal group(P0. 05), but it was of sta-tistically significant differences in NGT group and IGR group. Central obese indexes( WC、WHR、WHtR) showed a positive correlation to PWV in the studied groups(P0. 05). After adjusting for age, gender and cardiovascular risk factors, the multiple regression analysis found that for every 0. 1 point increase in WHR and WHtR, the PWV increased 40. 6 cm/s and 55. 3cm/s respectively. Conclusion There is a positive correlation between central obese indexes (WC、WHR、WHtR) and arterial stiffness, and the central obese indexes correlated with arterial stiffness better than BMI.