cAncers In Chinese diabeTic Individuals Research Articles

Association between heme oxygenase-1 and hyperlipidemia in pre-diabetic patients: a cross-sectional study

BackgroundAlthough the importance and benefit of heme oxygenase-1 (HO-1) in diabetes rodent models has been known, the contribution of HO-1 in the pre-diabetic patients with hyperlipidemia risk still remains unclear. This cross-sectional study aims to evaluate whether HO-1 is associated with hyperlipidemia in pre-diabetes.MethodsSerum level of HO-1 was detected using commercially available ELISA kit among 1,425 participants aged 49.3–63.9 with pre-diabetes in a multicenter Risk Evaluation of cAncers in Chinese diabeTic Individuals: A lONgitudinal (REACTION) prospective observational study. Levels of total cholesterol (TC) and triglyceride (TG) were measured and used to defined hyperlipidemia. The association between HO-1 and hyperlipidemia was explored in different subgroups.ResultThe level of HO-1 in pre-diabetic patients with hyperlipidemia (181.72 ± 309.57 pg/ml) was obviously lower than that in pre-diabetic patients without hyperlipidemia (322.95 ± 456.37 pg/ml). High level of HO-1 [(210.18,1,746.18) pg/ml] was negatively associated with hyperlipidemia (OR, 0.60; 95% CI, 0.37–0.97; p = 0.0367) after we adjusted potential confounding factors. In subgroup analysis, high level of HO-1 was negatively associated with hyperlipidemia in overweight pre-diabetic patients (OR, 0.50; 95% CI, 0.3–0.9; p = 0.034), especially in overweight women (OR, 0.42; 95% CI, 0.21–0.84; p = 0.014).ConclusionsIn conclusion, elevated HO-1 level was negatively associated with risk of hyperlipidemia in overweight pre-diabetic patients, especially in female ones. Our findings provide information on the exploratory study of the mechanism of HO-1 in hyperlipidemia, while also suggesting that its mechanism may be influenced by body weight and gender.

Remnant Cholesterol is More Strongly Associated with Arterial Stiffness than Traditional Lipids and Lipid Ratios in the General Chinese Population.

Studies on the relationship between remnant cholesterol (RC) and arterial stiffness (AS) are limited. This study aims to investigate the relationship between RC and AS and to explore RC, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), non-HDL-C, LDL-C/HDL-C, TG/HDL-C, lipoprotein combine index (LCI), and TC/HDL-C, which are lipid parameters most strongly associated with AS. A total of 4653 participants from the REACTION (Risk Evaluation of Cancers in Chinese Diabetic Individuals) study were recruited. AS was defined as a brachial-ankle pulse wave velocity of ≥ 1400 cm/s. Multiple logistic regression analyses were performed to detect its association with lipid parameters (RC, TG, TC, HDL-C, LDL-C, non-HDL-C, LDL-C/HDL-C, TG/HDL-C, LCI, and TC/HDL-C). Logistic regression analysis showed that compared with other traditional or non-traditional lipid parameters, the association between RC and AS was the strongest (odds ratio (OR) 1.59, 95% confidence interval (CI) 1.30-1.95, P＜0.001). In the stratified analysis, RC was significantly associated with AS in both sexes and at any age, as well as blood glucose, blood pressure, and body mass index levels. Besides, RC and AS were still significantly associated when TG＜1.7 mmol/L (OR:1.58, 95% CI: 1.02-2.45, P=0.04), LDL-C ＜3.4 mmol/L (OR:1.32, 95% CI: 1.01-1.73, P=0.041), HDL-C ≥ 1.0 mmol/L (OR:1.67, 95% CI: 1.34-2.08, P＜0.001), or non-HDL-C＜4.1 mmol/L (OR: 1.42, 95% CI: 1.10-1.82, P=0.007) are controlled within the appropriate range. In conclusion, compared with traditional lipids and lipid ratios, RC is more strongly associated with AS. The association between RC and AS remains significant even when TG, LDL-C, HDL-C, or non-HDL-C levels are controlled within the appropriate range.

Independent and interactive associations of heart rate and obesity with type 2 diabetes mellites: A population-based study.

Although obesity and heart rate (HR) were closely related to the prevalence and development of type 2 diabetes mllitus (T2DM), few studies have shown a co-association effect of them on T2DM. We aimed at assessing the interactive effects of HR and obesity with prevalence of T2DM in Chinese population, providing the exact cutpoint of the risk threshold for blood glucose with high HR. In the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal study (REACTION) cohorts (N = 8398), the relationship between HR and T2DM was explored by linear regression, logistic regression, and restricted cubic spline, and odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Interaction terms between HR and body mass index (BMI) and HR and waist circumference (WC) were introduced into the logistic regression model. In those with HR > 88.0 beats/min, fasting plasma glucose and oral glucose tolerance tests were significantly correlated with HR, and the prevalence of T2DM was highly correlated with HR (all p < .05). There were interactive associations of HR and obesity in patients with T2DM with HR < 74 beats/min. High HR was in interaction with obesity, associating with prevalence of T2DM. The newly subdivided risk threshold for HR with T2DM might be HR > 88 beats/minute.

A cross-sectional study of the association between breastfeeding history and overweight/obesity in postmenopausal women.

This study endeavors to augment comprehension of the association between breastfeeding and maternal weight within Asian populations. Data were obtained from the comprehensive 2011 research titled "Risk Evaluation of Cancers in Chinese Diabetic Individuals (REACTION): a longitudinal analysis," focusing specifically on postmenopausal women residing in the metropolitan precincts of Guiyang. It presents a cross-sectional study involving 5,987 parous postmenopausal women, aged 60.1 ± 6.9 years, who underwent assessments of body mass index and waist-to-height ratio. The probability of excessive weight or obesity was evaluated in relation to the aggregate duration of breastfeeding, using single-factor and multivariate logistic regression analyses. Following multiple adjustments for different confounders, the odds ratios (ORs) demonstrated that women who had borne a single child and breastfed for more than 12 months exhibited an increased prevalence of excessive weight (body mass index ≥24 kg/m 2 ) in contrast to those who abstained from breastfeeding (model I: OR, 1.481; 95% confidence interval, 1.124-1.952; P = 0.005; model II: OR, 1.471; 95% confidence interval, 1.113-1.944; P = 0.007). Conversely, among the subset of women who had given birth to two or more children, no noteworthy associations emerged between breastfeeding duration and the propensity for excessive weight or obesity (all models). In the Asian population, the duration of breastfeeding does not appear to be necessarily linked to the prevalence of overweight or obesity in postmenopausal women.

Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population-based study in China.

Insulin plays a central role in the regulation of energy and glucose homeostasis, and insulin resistance (IR) is widely considered as the "common soil" of a cluster of cardiometabolic disorders. Assessment of insulin sensitivity is very important in preventing and treating IR-related disease. This study aims to develop and validate machine learning (ML)-augmented algorithms for insulin sensitivity assessment in the community and primary care settings. We analyzed the data of 9358 participants over 40 years old who participated in the population-based cohort of the Hubei center of the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals). Three non-ensemble algorithms and four ensemble algorithms were used to develop the models with 70 non-laboratory variables for the community and 87 (70 non-laboratory and 17 laboratory) variables for the primary care settings to screen the classifier of the state-of-the-art. The models with the best performance were further streamlined using top-ranked 5, 8, 10, 13, 15, and 20 features. Performances of these ML models were evaluated using the area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve (AUPR), and the Brier score. The Shapley additive explanation (SHAP) analysis was employed to evaluate the importance of features and interpret the models. The LightGBM models developed for the community (AUROC 0.794, AUPR 0.575, Brier score 0.145) and primary care settings (AUROC 0.867, AUPR 0.705, Brier score 0.119) achieved higher performance than the models constructed by the other six algorithms. The streamlined LightGBM models for the community (AUROC 0.791, AUPR 0.563, Brier score 0.146) and primary care settings (AUROC 0.863, AUPR 0.692, Brier score 0.124) using the 20 top-ranked variables also showed excellent performance. SHAP analysis indicated that the top-ranked features included fasting plasma glucose (FPG), waist circumference (WC), body mass index (BMI), triglycerides (TG), gender, waist-to-height ratio (WHtR), the number of daughters born, resting pulse rate (RPR), etc. The ML models using the LightGBM algorithm are efficient to predict insulin sensitivity in the community and primary care settings accurately and might potentially become an efficient and practical tool for insulin sensitivity assessment in these settings.

Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults.

Studies have found a U-shaped relationship between sleep duration and chronic kidney disease (CKD) risk, but limited research evaluated the association of reallocating excessive sleep to other behavior with CKD. We included 104 538 participants from the nationwide cohort of the Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study, with self-reported time of daily-life behavior. Using isotemporal substitution models, we found that substituting 1 h of sleeping with sitting, walking, or moderate-to-vigorous physical activity was associated with a lower CKD prevalence. Leisure-time physical activity displacement was associated with a greater prevalence reduction than occupational physical activity in working population. In stratified analysis, a lower CKD prevalence related to substitution toward physical activity was found in long sleepers. More pronounced correlations were observed in long sleepers with diabetes than in those with prediabetes, and they benefited from other behavior substitutions toward a more active way. The U-shaped association between sleep duration and CKD prevalence implied the potential effects of insufficient and excessive sleep on the kidneys, in which the pernicious link with oversleep could be reversed by time reallocation to physical activity. The divergence in the predicted effect on CKD following time reallocation to behavior of different domains and intensities and in subpopulations with diverse metabolic statuses underlined the importance of optimizing sleeping patterns and adjusting integral behavioral composition.

Association between hemoglobin glycation index and 5-year major adverse cardiovascular events: the REACTION cohort study.

The hemoglobin glycation index (HGI) was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual HbA1c bias. Here, we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events (MACE) by performing a large multicenter cohort study in China. A total of 9791 subjects were divided into five subgroups (Q1-Q5) with the HGI quantiles (≤5th, >5th and ≤33.3th, >33.3th and ≤66.7th, >66.7th and ≤95th, and >95th percentile). A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk. Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups. The total 5-year MACE rate in the nationwide cohort was 6.87% (673/9791). Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors (χ2 = 29.5, P <0.001). After adjustment for potential confounders, subjects with HGIs ≤-0.75 or >0.82 showed odds ratios (OR) for MACE of 1.471 (95% confidence interval [CI], 1.027-2.069) and 2.222 (95% CI, 1.641-3.026) compared to subjects with HGIs of >-0.75 and ≤-0.20. In the subgroup with non-coronary heart disease, the risk of MACE was significantly higher in subjects with HGIs ≤-0.75 (OR, 1.540 [1.039-2.234]; P = 0.027) and >0.82 (OR, 2.022 [1.392-2.890]; P <0.001) compared to those with HGIs of ≤-0.75 or >0.82 after adjustment for potential confounders. We found a U-shaped correlation between the HGI values and the risk of 5-year MACE. Both low and high HGIs were associated with an increased risk of MACE. Therefore, the HGI may predict the 5-year MACE risk.

Association of skin autofluorescence with depressive symptoms and the severity of depressive symptoms: The prospective REACTION study

AimMillions of people are afflicted by depression, a highly prevalent mental illness with increased morbidity and mortality. Advanced glycation end-products (AGEs) are potential risk factors for depression. We aimed to investigate the correlation of AGEs with depressive symptoms and the severity of depressive symptoms. MethodsThis study was nested in the prospective REACTION (Risk Evaluation of cAncers in Chinese diabeTic Individuals) study and included 4420 eligible participants. skin autofluorescence (SAF) was used to measure skin AGEs. Depressive symptoms were evaluated by the Self-Rating Depression Scale (SDS). Multiple logistic regression analysis was used to assess the association of AGEs with depressive symptoms and the severity of depressive symptoms. ResultsLogistic analysis showed a significantly positive relationship between quartiles of SAF-AGEs and the risk of depressive symptoms with the OR [95% confidence interval (CI), p value] of 1.24 (95% CI: 1.03–1.50, p = 0.022), 1.39 (95% CI: 1.15–1.68, p = 0.001) and 1.57 (95% CI: 1.28–1.91, p < 0.001) for multivariable-adjusted model respectively. And SAF-AGEs were associated with the severity of depressive symptoms with the multivariable-adjusted OR (95% CI, p value) of 1.06 (95% CI:0.79–1.43, p = 0.681), 1.47 (95% CI: 1.08–1.99, p = 0.014), and 1.54 (95% CI: 1.12–2.11, p = 0.008) respectively. Stratified analyses showed that SAF-AGEs were significantly associated with the severity of depressive symptoms only in females, overweight people, individuals with hypertension, and those without diabetes and insomnia. ConclusionsThe present study showed that a higher SAF-AGEs level was associated with depressive symptoms and the severity of depressive symptoms.

Association of alcohol consumption with all-cause mortality, new-onset stroke, and coronary heart disease in patients with abnormal glucose metabolism-Findings from a 10-year follow-up of the REACTION study.

Type 2 diabetes mellitus (T2DM) and diabetic complications threaten human health seriously. Healthy lifestyles can lower the risk of cardiovascular disease (CVD) and long-term complications. However, the relationship between alcohol consumption and CVD mortality is still controversial, and there is a lack of evidence from large-scale longitudinal studies in the Chinese population. Based on the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study), this paper explores the association between alcohol consumption and all-cause mortality, stroke, and coronary heart disease (CHD) in patients with abnormal glucose metabolism during a 10-year follow-up period to provide evidence for lifestyle counselling for these patients. First, baseline data were collected from the REACTION study cohort in Changchun, Jilin Province, China, in 2011-2012. A questionnaire survey was performed among patients with abnormal glucose metabolism aged over 40 years. The frequency of their alcohol intake, the type of alcohol, and the amount of alcohol consumed daily were surveyed. Physical and biochemical examinations were also performed. Then, through the Primary Public Health Service System of Jilin Province, we collected outcomes during the 10-year follow-up up to October 1, 2021, including all-cause mortality, stroke, and CHD. Next, we conducted logistic regression to analyze the relationship between baseline alcohol consumption and 10-year outcomes, and risk ratio (RR) and 95% CI were calculated by adjusting for different clinical indicators. A p value < 0.05 was considered statistically significant. A total of 4855 patients with T2DM and prediabetes (35.2% men and 64.8% women) were included in the baseline analysis. Outcomes of 3521 patients during the 10-year follow-up were obtained, including 227 deaths, 296 new-onset strokes and 445 new-onset CHD. Occasional drinking (less than once a week) was associated with a reduced 10-year all-cause mortality, with an RR of 0.511 (95% CI [0.266, 0.982]) after adjustment for age, gender, medical history, and lifestyles and an RR of 0.50 (95% CI [0.252, 0.993]) in a fully adjusted model including additional biochemical indicators. In addition, heavy alcohol consumption (≥30 g/day for men and ≥15 g/day for women) was significantly associated with an increased incidence of stroke, with an RR of 2.503 (95% CI [1.138, 5.506]) after the adjustment for age, gender, medical history, lifestyles, and biochemical indicators. No significant association was found between alcohol consumption and new-onset CHD. For patients with abnormal glucose metabolism, occasional drinking (less than once a week) reduces the risk of all-cause mortality, while heavy alcohol consumption (≥30 g/day for men and ≥15 g/day for women) significantly increases the risk of new-onset stroke. They should avoid heavy alcohol intake, but light alcohol consumption or occasional drinking is acceptable. Additionally, it is crucial to control blood glucose and blood pressure and keep performing physical activities.

A novel index, Chinese visceral adiposity index is closely associated with urinary albumin-creatinine ratio in Chinese community adults, especially in hypertensive or hyperglycemic population: Results from the REACTION study.

The association between the Chinese Visceral Adiposity Index (CVAI) and urinary albumin to creatinine ratio (UACR) has not been illustrated. The current study aimed to investigate the association between CVAI and UACR and to compare the discriminative power of CVAI, triglyceride, body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) with UACR in the Chinese community population. This study included 34 732 participants from the REACTION (Risk Evaluation of cAncers in Chinese diabeTic Individuals) study. Binary logistic regression analyses were performed to detect the association between CVAI, triglyceride, BMI, WC, WHR and UACR. Binary logistic regression analysis showed that, after adjusting for potential confounders, in women, CVAI (odds ratio [OR]:1.16, 95% confidence interval [CI]: 1.01-1.34) and triglyceride (OR: 1.18, 95% CI: 1.04-1.33) were associated with UACR, whereas BMI, WC, and WHR were not associated with UACR; in men, CVAI (OR: 1.24, 95% CI: 1.02-1.50), WC (OR: 1.21, 95% CI 1.00-1.48), and triglycerides (OR: 1.18, 95% CI 0.97-1.44) were associated with UACR, whereas BMI and WHR were not associated with UACR. Stratified analysis showed that the correlation between CVAI and UACR was stronger in the population with 5.6 ≤ fasting blood glucose (FBG) <7.0 or 7.8 ≤ post-load blood glucose (PBG) <11.1 mmol/L, FBG ≥7.0 or PBG ≥11.1, systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg. In the Chinese general population, CVAI and UACR were significantly associated in both genders. At higher CVAI levels, the population with prediabetes, diabetes, and hypertension has a more significant association between CVAI and UACR.

Association of skin autofluorescence with low bone density/osteoporosis and osteoporotic fractures in type 2 diabetes mellitus.

BackgroundAdvanced glycation end products (AGEs) that abnormally accumulate in diabetic patients have been reported to damage bone health. We aimed to investigate the association between skin autofluorescence (SAF)‐AGEage (SAF − AGEs × age/100) and low bone density (LBD)/osteoporosis or major osteoporotic fractures (MOFs) in patients with type 2 diabetes mellitus (T2DM).MethodsThis study was nested in the prospective REACTION (Risk Evaluation of Cancers in Chinese Diabetic Individuals) study and included 1214 eligible participants. SAF was used to measure skin AGEs (SAF‐AGEs). Fracture events were determined by an in‐person clinical follow‐up. Binary logistic regression analysis, linear regression analysis, and a restricted cubic spline nested in logistic models were used to test outcomes.ResultsThe overall prevalence of LBD/osteoporosis in middle‐aged or elderly T2DM patients was 35.7% (n = 434), and the overall incidence of MOFs was 10.5% (n = 116). Logistic analysis showed a significantly positive relationship between quartiles of SAF‐AGEage and the risk of LBD/osteoporosis (odds ratio [OR] 2.02, 95% CI 1.34–3.03; OR 3.63, CI 2.44–5.39; and OR 6.51, CI 4.34–9.78) for the multivariate‐adjusted models, respectively. SAF‐AGEage was associated with MOFs with a multivariate‐adjusted OR of 1.02 (CI 0.52–2.02), 2.42 (CI 1.32–4.46), and 2.70 (CI 1.48–4.91), respectively. Stratified analyses showed that SAF‐AGEage was significantly associated with MOFs only in females, nonsmokers, nondrinkers, individuals with lower body mass index, and those without LBD/osteoporosis. Linear regression analyses showed that higher SAF‐AGEs were associated with a higher level of serum N‐terminal propeptide of type I procollagen (s‐PINP) and serum carboxy‐terminal cross‐linking peptide of type I collagen (s‐CTX), with a multivariate‐adjusted OR of 1.02 (CI 0.24–1.80) and 6.30 (CI 1.77–10.83), respectively.ConclusionsIn conclusion, SAF‐AGEage was positively associated with the prevalence of LBD/osteoporosis or MOFs in patients with T2DM. A positive association between SAF‐AGEs and the level of s‐PINP and s‐CTX was found.

Association of Circulating ANGPTL8 Levels With Renal Dysfunction: A Case-Control Study.

Background: Chronic kidney disease (CKD) is recognized as a major public health problem with high morbidity and mortality worldwide. Recently, angiopoietin-like protein 8 (ANGPTL8) was found to regulate lipid metabolism. Previous studies suggested that serum ANGPTL8 levels increased in patients with diabetes, especially in diabetic patients with albuminuria. This study aimed to investigate the association between circulating levels of ANGPTL8 and kidney function in the general population.Methods: The subjects were patients with renal dysfunction [estimated glomerular filtration rate (eGFR) <60/min/1.73 m2] from Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal study (the REACTION study). Each case was matched by age, sex, and body mass index (BMI) with one control whose eGFR was ≥ 90 ml/min/1.73 m2. The case and control groups were compared using a paired t-test. Binary logistic regression analysis was used to calculate the odds ratio (OR) of renal dysfunction (RD).Results: Among 135 case-control pairs, circulating ANGPTL8 levels were elevated in patients with RD compared to control subjects [799.96 (410.12-1086.44) vs. 609.58 (365.13-740.06) pg/ml, p < 0.05]. Partial correlations showed that ANGPTL8 levels were negatively correlated with eGFR (r = −0.26, p < 0.05). Multivariable-adjusted binary logistic regression analysis showed that elevated ANGPTL8 levels were associated with an increased risk of RD (OR in quartile 4 vs. 1, 3.80; 95% CI, 1.71-8.41). Interestingly, the association between ANGPTL8 levels and RD was consistent with the overall findings in both nondiabetic individuals (OR, 1.44; 95% CI, 1.09 to 1.91) and diabetic patients (OR, 2.71; 95% CI, 1.13-6.49) in the subgroup analyses. Furthermore, the estimates for this association were also significant in females (OR, 2.12; 95% CI, 1.33-3.37), individuals aged > 60 years (OR, 1.55; 95% CI, 1.16-2.07), individuals with a BMI <24 (OR, 1.66; 95% CI, 1.16-2.39), and individuals without hyperlipidaemia (OR, 1.61; 95% CI, 1.16-2.23) (all p-values <0.05).Conclusion: Elevated circulating ANGPTL8 levels were associated with increased risk of RD in the general population, especially among females, individuals aged > 60 years, individuals with a BMI < 24, individuals without diabetes mellitus, individuals with diabetes mellitus (DM), and individuals without hyperlipidaemia. This finding implies that ANGPTL8 may play a role in the pathological process of RD.

Gestational hyperglycemia and the risk of cardiovascular diseases among elderly Chinese women: Findings from the REACTION study.

Gestational hyperglycemia increases the risk of diabetes in later life. However, the risk of future cardiovascular diseases (CVD) related to gestational hyperglycemia remains inconclusive. The purpose of this study was to investigate the impact of gestational hyperglycemia on the subsequent risk of CVD and its modifying factors among elderly Chinese women. We conducted a case-control study of elderly women from the baseline survey of Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. Women with gestational hyperglycemia (n=82), and controls matched by age and study site (n=410) were included. Information on CVD, including reported coronary heart disease, stroke, or myocardial infarction, was collected through an interviewer-assisted questionnaire. Women with gestational hyperglycemia were more likely to develop diabetes (odds ratio [OR], 2.51; 95% confidence interval [CI], 1.50-4.18) and CVD (OR, 1.98; 95% CI, 1.05-3.74). Even without progressing to type 2 diabetes, gestational hyperglycemia was associated with an increased risk of CVD (OR, 2.88; 95% CI, 1.18-7.00). However, subgroup analysis indicated that compared with those without gestational hyperglycemia or hypertension, women with both gestational hyperglycemia and hypertension had higher risk of CVD (OR, 3.98; 95% CI, 1.65-9.58), whereas the risk estimate did not significantly change in women with gestational hyperglycemia alone (OR, 2.15; 95% CI, 0.71-6.57). Stratified analysis indicated that among those with overweight/obesity, inactive physical activity, or unhealthy dietary habits, gestational hyperglycemia increased the risk of CVD. In elderly Chinese women, gestational hyperglycemia was associated with an increased risk of CVD in later life. This association was independent of the progression to diabetes and might be modified by lifestyle factors and hypertension.

Nomogram Predicting the Risk of Progression from Prediabetes to Diabetes After a 3-Year Follow-Up in Chinese Adults

PurposeTo develop a nomogram for predicting the risk of progression from prediabetes to diabetes and provide a quantitative predictive tool for early clinical screening of high-risk populations of diabetes.Materials and MethodsThis study was a retrospective cohort study and part of the investigation conducted for the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. A total of 1857 prediabetic participants at baseline underwent oral glucose tolerance test and hemoglobin A1c (HbA1c) testing after 3 years. The areas under the receiver operating characteristic curves (AUCs) were adopted to measure the predictive value of progression to diabetes, using baseline fasting plasma glucose (FPG), 2-hr postprandial plasma glucose (2hPG), HbA1c or combined models. Decision curve analysis determined the model with the best discriminative ability. A nomogram was formulated and internally validated, providing an individualized predictive tool by calculating total scores.ResultsAfter 3 years, 145 participants developed diabetes, and the annual incidence was estimated to be 2.60%. Among the three single indicators and four combined models, model 4 combined of FPG, 2hPG, and HbA1c showed the best performance in risk predication, with an AUC of 0.742. The nomogram constructed via model 4 was validated and demonstrated good prediction for the risk of diabetes. The nomogram score/predicted probability was a numeric value representing the prediction model score of individual patients. Notably, all nomogram scores showed relatively high negative predictive values.ConclusionThe nomogram constructed in this study effectively predicts and quantifies the risk of progression from prediabetes to diabetes after a 3-year follow-up and could be adopted to identify Chinese patients at high risk for diabetes in order to provide timely interventions.

The Incidence of Metabolic Syndrome and the Valid Blood Pressure Cutoff Value for Predicting Metabolic Syndrome Within the Normal Blood Pressure Range in the Population Over 40 Years Old in Guiyang, China.

PurposeThe study was conducted to investigate metabolic syndrome (MS) incidence within the normal blood pressure (BP) range in a population over 40 years old in an urban area of Guiyang, Guizhou Province, China, and to identify a valid BP cutoff value for predicting MS.Materials and MethodsData from this study are based on the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. In total, 2935 subjects in the normal BP range and without MS (795 males, 2140 females) aged 40–80 years were included in this study. Follow-up subjects were classified by baseline BP and grouped by age. After the 3-year follow-up, the MS incidence and valid BP cutoff value for predicting MS were calculated for subjects within the normal BP range.ResultsAfter the 3-year follow-up study, the crude and standardized MS incidences in the cohort were 19.83% and 16.89% for follow-up subjects, respectively, with incidences of 10.94% and 10.50% for males and 23.13% and 20.66% for females. The incidence of MS in normotensive subjects (15.53%) was lower than that in subjects with high-normal BP (29.08%). After adjusting for age, sex, BMI, smoking, and drinking, the risk of having MS in the high-normal BP group was 1.823-fold [HR 1.823 95% CI (1.538–2.162)] higher than that in the normotensive group. The ROC curve showed that the BP cutoff values were more than 117/74 mmHg in males and 112/74 mmHg in females.ConclusionWhen BP was within the normal range, the incidence of MS in participants was very high. The MS incidence was higher among high-normal BP subjects than among normotensive subjects, as was the risk of having MS. The valid BP cutoff value for predicting MS in the population was 117/74 mmHg in males and 112/74 mmHg in females. Currently, epidemiological investigations are needed to determine whether a lower BP cutoff value is needed in diagnosing MS.

Association of the Ratio of Triglycerides to High-Density Lipoprotein Cholesterol Levels with the Risk of Type 2 Diabetes: A Retrospective Cohort Study in Beijing.

Background Previous studies have shown that the ratio of triglyceride to high-density lipoprotein cholesterol level (TG/HDL-C) is a risk factor for type 2 diabetes mellitus (T2DM). The aim of this study was to investigate the nonlinear relationship between TG/HDL-C and the incidence of T2DM in a Chinese population. Methods We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the incidence of T2DM among 7,791 participants from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) cohort study at baseline. Results After adjusting for age, sex, body mass index, smoking status, alcohol intake, low-density lipoprotein cholesterol level, strenuous activity, education level, family histories of T2DM and tumors, and the presence of hypertension, tumor, stroke, and coronary heart disease, we showed that TG/HDL-C was positively associated with the incidence of T2DM at the 4-year follow-up (OR = 1.49, 95%CI = 1.26–1.78). TG/HDL-C and incidence of T2DM showed a nonlinear relationship; the inflection point of TG/HDL-C was 1.50. The ORs (95% CI) on the left and right sides of the inflection point were 2.50 (1.70–3.67) and 0.96 (0.67–1.37), respectively. After adjusting for age, sex, and body mass index (BMI) in the linear relationship, the OR of the incidence of T2DM was 1.60 (95%CI = 1.37–1.87). When the TG/HDL-C was less than 1.50 or greater than 1.76, the ORs (95% CI) were 2.41 (1.82–3.18) or 0.81 (0.53–1.25), respectively. Subgroup analysis showed no relationships of T2DM incidence with sex, BMI, family history of T2DM, or TG/HDL-C. Conclusion TG/HDL-C is positively associated with diabetes risk. In our study, with each increasing quintile, the risk of T2DM after 4 years was 1.60 or 1.49 depending on the variables adjusted. In addition, our cohort study showed a nonlinear relationship between TG/HDL-C and T2DM incidence, with an inflection point of 1.76 or 1.50, depending on the variables adjusted. When the TG/HDL was less than 1.50, the ORs (95% CI) were 2.41 (1.82–3.18) and 2.50 (1.70–3.67). When the TG/HDL-C was greater than 1.76 or 1.50, there was no significant difference in the change in OR.

Associations between parity, pregnancy loss, and breastfeeding duration and risk of maternal type 2 diabetes: An observational cohort study.

Parity, pregnancy loss, and breastfeeding duration were found to be associated with diabetes. However, the results are inconsistent. Also, no epidemiological studies have examined the association of these reproductive factors with diabetes in the same large population. We aim to investigate the associations between parity, pregnancy loss, breastfeeding duration, and the risk of maternal diabetes in middle-aged and elderly Chinese females. We included 131 174 females aged ≥40 years from the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study). Multivariable linear regression and logistic regression were used to assess the association between parity, pregnancy loss, and breastfeeding duration and type 2 diabetes. The number of parities and breastfeeding duration were positively related to fasting plasma glucose, 2-hour postload glucose, glycosylated hemoglobin, and homeostatic model assessment of insulin resistance. Compared with those with one birth, nulliparous women or women with 2 or ≥3 births had a significantly increased risk of diabetes. The odds ratios (OR) and 95% confidence intervals (CI) were 1.27 (1.10-1.48), 1.17 (1.12-1.22), and 1.28 (1.21-1.35), respectively. Compared with women without pregnancy loss, those who underwent 2 (OR 1.09; 95% CI, 1.04-1.14) or ≥3 pregnancy losses (OR 1.11; 95% CI, 1.04-1.18) had an increased risk of diabetes. Moreover, women with a breastfeeding duration ≥0 to 6 months (OR 0.82; 95% CI, 0.75-0.90) and ≥6 to 12 months (OR 0.94; 95% CI, 0.89-0.99) had a significantly lower risk of diabetes. Nulliparous women or women with multiparity or more than one pregnancy loss have an increased risk of diabetes in later life, while women who breastfeed more than 0 to 12 months have a lower risk of diabetes.

Association between obesity and urinary albumin-creatinine ratio in the middle-aged and elderly population of Southern and Northern China: a cross-sectional study

ObjectiveThe relationship between obesity and albuminuria has not been clarified. This study aimed to investigate the correlation between obesity and the urinary albumin-creatinine ratio (UACR) in Southern and Northern China.DesignA...

Age at menarche, ideal cardiovascular health metrics, and risk of diabetes in adulthood: Findings from the REACTION study.

Age at menarche was reported to be associated with the risk of diabetes. However, the impact of ideal cardiovascular health metrics (ICVHMs) on the association between age at menarche and adulthood diabetes risk was unclear. We included 121 431 women from the nationwide, population-based cohort of the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study). The diagnosis of diabetes was based on the oral glucose tolerance test (OGTT) and glycosylated hemoglobin (HbA1c) measurement. Logistic regression and multiplicative interaction analysis were conducted to investigate the potential interaction effect between age at menarche and ICVHMs on the development of diabetes. The multivariable-adjusted odds ratios of diabetes across categories of age at menarche (<14, 14-17, and > 17 years) were 1.22 (95% confidence interval [CI]: 1.17, 1.28), 1.00 (reference), and 0.89 (95% CI: 0.85, 0.93), respectively. In subgroup analysis, significant interactions were detected between total cholesterol/blood pressure levels and age at menarche regarding the risk of diabetes (P for interaction = .0091 and .0019, respectively). The increased risk associated with age at menarche <14 years was observed in participants with three or fewer ICVHMs, but not in women with four or more ICVHMs (P for interaction = .0001). Age at menarche was inversely associated with the risk of diabetes in adulthood in Chinese women, and it appeared to be modified by the presence of ICVHMs. Further studies are needed to clarify the precise interrelationship and the generalizability of our results.

Irisin plays an important role in the outcomes of newly diagnosed prediabetes in adults in Guiyang, China.

Aims/IntroductionTo explore the potential role of irisin in the outcomes of newly diagnosed prediabetes.Materials and MethodsData were obtained from the Guiyang subcenter of the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. A total of 2,530 participants had newly diagnosed prediabetes at baseline and completed follow up. The nested 1:1 case–control study included 161 participants who developed diabetes mellitus at follow up, and 161 age‐ and sex‐matched controls. The follow‐up study included 86 matched case–control pairs. Fasting serum irisin levels were measured using enzyme‐linked immunosorbent assay.ResultsBaseline serum irisin levels were higher in the cases than in the controls (P = 0.002); high baseline serum irisin levels were an independent risk factor for the development of diabetes (odds ratio 1.235, 95% confidence interval 1.025–1.488). After adjustment for age, sex, body mass index, glycated hemoglobin (HbA1c), smoking, exercise, and family history of diabetes, subjects in the highest quartile of irisin levels had a higher risk of diabetes than those in the lowest quartile (odds ratio 3.065, 95% confidence interval 1.511–6.218). The extent of decrease in irisin levels during follow‐up was greater in the cases than in the controls (P < 0.001). Baseline serum irisin levels were positively correlated with the extent of decrease in irisin during follow‐up (r = 0.773, P < 0.001). After adjustment for confounding factors, subjects with a decrease of irisin above the median had much higher risk for diabetes (odds ratio 5.077, 95% confidence interval 2.112–12.206).ConclusionsIrisin might play an important role in the outcomes of newly diagnosed prediabetes in adults in Guiyang, and can predict the risk for developing diabetes in these individuals.