Introduction: Prediabetes or intermediate hyperglycemia (IH) represents a critical phase in the trajectory toward type 2 diabetes mellitus (T2DM). Recent evidence from the International Diabetes Federation (IDF) suggests that 1-hour OGTT (1HOGTT) ≥8.6 mmol/L is a more sensitive biomarker for early beta-cell dysfunction, with enhanced detection of IH and future T2DM risk. Conventional screening using hemoglobin A1c (HbA1c) or 2-Hour OGTT (2HOGTT) may delay identification of prediabetes, narrowing the window for early intervention. This study evaluates 1HOGTT as a screening tool for prediabetes among Malaysians. Methodology: This cross-sectional study enrolled adults without prior T2DM or prediabetes. Participants underwent 1HOGTT, 2HOGTT, and HbA1c, classified as per the Malaysian Clinical Practice Guideline for T2DM (6th Edition) and IDF 2024 criteria. Agreement between tests was assessed using McNemar’s test and Cohen’s kappa. Diagnostic accuracy was evaluated via receiver operating characteristic (ROC) curve analysis. Cost-effectiveness was determined using reagent cost only. Results: The majority of the 310 participants were female (71.6%), Malay (87.1%), with average age of 40. The 1HOGTT identified prediabetes in 21.6% (n = 67) compared to 17.1% (n = 53) by HbA1c and 2.6% (n = 8) by 2HOGTT. McNemar’s test confirmed statistically significant discordance between 1HOGTT and 2HOGTT (chi-square = 53.397, p <0.001): 61 participants were prediabetic by 1HOGTT but normal by 2HOGTT, versus only 2 in the reverse direction. No significant discordance was found between 1HOGTT and HbA1c (chi-square = 2.817, p = 0.093). 1HOGTT demonstrated excellent discriminatory ability against 2HOGTT (AUC = 0.908; 95% CI: 0.837–0.978), significantly outperforming HbA1c (AUC = 0.664; CI: 0.462– 0.867; DeLong p = 0.012). In a population-level cost analysis, 1HOGTT achieved lowest cost per prediabetes case detected (RM 5.79) – approximately 8.3 times and 8.1 times more cost-effective than 2HOGTT (RM 48.08) and HbA1c (RM 46.78) respectively. Conclusion 1HOGTT identifies a significant proportion of individuals with prediabetes missed by 2HOGTT and HbA1c. Incorporating 1HOGTT enhances the detection of prediabetes, is cost-effective, and enables timely preventive measures in our population with high diabetes burden.
Glucose Tolerance Test ; Glycated Hemoglobin ; Prediabetic State

BACKGROUND: The prevalence of pre-diabetes and diabetes mellitus type 2 (DMT2) among Filipinos exceeds 20%. Progressive loss of insulin sensitivity can occur with fasting blood sugar (FBS) ≥90 mg/dL. Studies among Asians with pre- diabetes show a higher prevalence of DMT2 diagnosed by 75 g oral glucose tolerance test (OGTT), the gold standard, which remains underutilized. OBJECTIVE: This prospective, observational, single-center study included adult patients admitted between January 2022 to August 2022 who were diagnosed with ARF type 1 and/or 2 and who were hooked to NIV as oxygen supplementation. METHODOLOGY: This cross-sectional analysis was conducted in the outpatient departments of two hospitals in Cebu City. Ninety-five adult Filipino patients with FBS < 126 mg/dL but with risk factors for DMT2 had HbA1c and 75 g OGTT taken. Test performance and receiver operating characteristic curves were computed for the optimal FBS and HbA1c threshold. RESULTS: Pre-diabetes or DMT2 was prevalent among 66% of participants. Using 75 g OGTT, 23% reached levels indicative of DMT2 but had normal or impaired fasting glucose, while this was found in 20% with pre-diabetic glycated hemoglobin (HbA1c) levels. HbA1c was more accurate than FBS. CONCLUSION Performing 75 g OGTT for high-risk Filipinos with FBS ≥94.2 mg/dL or HbA1c ≥5.6% is highly predictive of a change in glucose tolerance status to pre-diabetes, while an FBS ≥106 mg/dL or HbA1c ≥5.8% is predictive of DMT2. Lower cut-off levels promote earlier detection and intervention. Hypertension and age ≥35 years old were significantly associated with such conditions.
Human ; Diabetes Mellitus ; Prediabetic State ; Glycated Hemoglobin ; Glucose Tolerance Test

Objective: A diabetes prevention program is being proposed in the rural agricultural town of San Juan, Batangas, Philippines. This study aims to determine the prevailing level of food intake, physical activity, and health beliefs prior to any intervention. Methodology: Adults were recruited via random sampling with proportional allocation. Interviews were done to determine food intake and physical activity. Small group discussions were held to determine prevailing health beliefs. Results: The average energy intake (1,547 kcal/d) is only 72% of the recommended values for Filipinos. Only 12% of the respondents achieved the recommended energy intake. Carbohydrates comprise a large part (71%) of calorie intake. A majority (91%) already have moderate to high levels of physical activity. There are prevailing health beliefs that need to be considered when dietary modifications and physical activity interventions are to be done. Conclusion Internationally recommended diabetes prevention interventions such as reducing calorie intake and increasing physical activity may not be directly applicable here. We recommend that the features of a diabetes prevention program for this locale must include the following: 1) introduction of affordable plant sources of proteins; 2) decreasing the proportion of rice as a source of carbohydrates in the diet; 3) maintaining the level of physical activity; and 4) being sensitive to the prevailing health beliefs.
Culture ; Diet ; Life Style ; Prediabetic State ; Rural Population

Objective: This study aimed to evaluate the effects of combination of curcumin and piperine supplementation on Fasting Plasma Glucose (FPG), Homeostatic Model of Insulin Resistance (HOMA-IR), Body Mass Index (BMI) in patients with prediabetes and type 2 Diabetes Mellitus (T2DM). This review was done to identify potential herbal remedies that may help improve glycemic parameters, leading to better health outcomes in combination with current antidiabetic treatment. Methodology: This systematic review was based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). It was conducted in 2023 with sources and databases from MEDLINE, EBSCO-Host, ScienceDirect and ProQuest. This paper included randomized-controlled trials exploring the effects of the combination of curcumin and piperine on patients with prediabetes and T2DM. Systematic reviews, observational studies, case reports, case series, conference abstracts, book sections, commentaries/editorials, non-human studies and articles with unavailable full-text and written in non-English language, were excluded. The key terms for the literature search were “curcumin,” “piperine,” “prediabetes” and “Type 2 Diabetes Mellitus.” We use Cochrane Risk of Bias (RoB) 2 for quality assessment of the included studies and Review Manager (RevMan) 5.4 to do the meta-analysis. Results: A total of three studies were included in this systematic review. Two studies from Neta et al., and Cicero et al., showed no significant difference in HOMA-IR, BMI and FPG levels between the curcumin, piperine and placebo groups. One study from Panahi et al. demonstrated a significant difference in BMI levels between the curcumin and piperine and placebo groups (p <0.01). The meta-analysis showed that FPG levels, HOMA-IR and BMI improved among patients with diabetes given in curcumin and piperine with reported mean differences (MD) of = -7.61, 95% CI [-15.26, 0.03], p = 0.05, MD = -0.36, 95% CI [-0.77 to 0.05], p = 0.09, and MD = -0.41, 95% CI [-0.85 to 0.03], p = 0.07, respectively). Conclusions The supplementation of curcumin and piperine showed a numerical reduction in FPG, HOMA-IR and BMI, but were not statistically significant. Further research is needed as there is a paucity of studies included in the review.
Curcumin ; Prediabetic State ; Diabetes Mellitus, Type 2

INTRODUCTION: Studies of concordance between patients' self-report of diseases and a criterion standard (e.g. chart review) are usually conducted in epidemiological studies to evaluate the agreement of self-reported data for use in public health research. To our knowledge, there are no published studies on concordance for highly prevalent chronic diseases such as diabetes and pre-diabetes. The aims of this study were to evaluate the concordance between patients' self-report and their medical records of diabetes and pre-diabetes diagnoses, and to identify factors associated with diabetes concordance. METHOD: A cross-sectional, interviewer-administered survey was conducted on patients with chronic diseases after obtaining written consent to assess their medical notes. Interviewers were blinded to the participants' profiles. Concordance was evaluated using Cohen's kappa (κ). A multivariable logistic regression model was used to identify factors associated with diabetes concordance. RESULTS: There was substantial agreement between self-reported and medical records of diabetes diagnoses (κ=0.76) and fair agreement for pre-diabetes diagnoses (κ=0.36). The logistic regression model suggested that non-Chinese patients had higher odds of diabetes concordance than Chinese patients (odds ratio [OR]=4.10, 95% confidence interval [CI] 1.19-14.13, P=0.03). Patients with 3 or more chronic diseases (i.e. multimorbidity) had lower odds of diabetes concordance than patients without multimorbidity (OR=0.21, 95% CI 0.09-0.48, P<0.001). CONCLUSION Diabetes concordance was substantial, supporting the use of self-report of diabetes by patients with chronic diseases in the primary care setting for future research. Pre-diabetes concordance was fair and may have important clinical implications. Further studies to explore and improve health literacy and patient-physician communication are needed.
Humans ; Prediabetic State ; Singapore/epidemiology* ; Cross-Sectional Studies ; Diabetes Mellitus/epidemiology* ; Medical Records ; Self Report

Based on transcriptome sequencing technology, the mouse model of prediabetes treated with Huangjing Qianshi Decoction was sequenced to explore the possible mechanism of treating prediabetes. First of all, transcriptome sequencing was performed on the normal BKS-DB mouse group, the prediabetic model group, and the Huangjing Qianshi Decoction treatment group(treatment group) to obtain differentially expressed genes in the skeletal muscle samples of mice. The serum biochemical indexes were detected in each group to screen out the core genes of Huangjing Qianshi Decoction in prediabetes. Gene Ontology(GO) database and Kyoto Encyclopedia of Genes and Genomes(KEGG) database were used to conduct signaling pathway enrichment analysis of differentially expressed genes, and real-time quantitative polymerase chain reaction(RT-qPCR) was used to verify them. The results showed that the levels of fasting blood glucose(FBG), fasting insulin(FINS), insulin resistance index(HOMA-IR), total cholesterol(TC), triglycerides(TG), and low-density lipoprotein cholesterol(LDL-C) in the mouse model were significantly decreased after treatment with Huangjing Qianshi Decoction. In the results of differential gene screening, there were 1 666 differentially expressed genes in the model group as compared with the normal group, and there were 971 differentially expressed genes in the treatment group as compared with the model group. Among them, interleukin-6(IL-6) and NR3C2 genes, which were closely related to the regulation of insulin resis-tance function, were significantly up-regulated between the model group and the normal group, and vascular endothelial growth factor A(VEGFA) genes were significantly down-regulated between the model group and the normal group. However, the expression results of IL-6, NR3C2, and VEGFA genes were adverse between the treatment group and the model group. GO functional enrichment analysis found that the biological process annotation mainly focused on cell synthesis, cycle, and metabolism; cell component annotation mainly focused on organelles and internal components; and molecular function annotation mainly focused on binding molecular functions. KEGG pathway enrichment analysis found that it involved the protein tyrosine kinase 6(PTK6) pathway, CD28-dependent phosphoinositide 3-kinase/protein kinase B(PI3K/AKT) pathway, p53 pathway, etc. Therefore, Huangjing Qianshi Decoction can improve the state of prediabetes, and the mechanism may be related to cell cycle and apoptosis, PI3K/AKT pathway, p53 pathway, and other biological pathways regulated by IL-6, NR3C2, and VEGFA.
Animals ; Mice ; Proto-Oncogene Proteins c-akt ; Phosphatidylinositol 3-Kinases ; Prediabetic State ; Vascular Endothelial Growth Factor A ; Interleukin-6 ; Transcriptome ; Tumor Suppressor Protein p53 ; Insulin ; Cholesterol

Objective: To investigate the relationship between hemoglobin and serum uric acid in adults with various glucose metabolism status. Methods: The demographic data and biochemical indicators of the adult population who had received physical examination in the Second Medical Center of the PLA General Hospital from January 2018 to December 2021 were collected. The subjects were divided into two groups according to the level of serum uric acid: the normal uric acid group and the hyperuricemia group. The relationship between hemoglobin (stratified into four levels of Q₁ to Q₄ by the quartile) and serum uric acid was quantified by using Pearson correlation and logistic regression analysis. The effects of age and glucose metabolism status on the relationship between hemoglobin and serum uric acid were analyzed. Results: A total of 33 183 adults were enrolled with age (50.6±10.0) years. The level of hemoglobin in the normal uric acid group (142.61±14.24) g/L was significantly lower than that in the hyperuricemia group [(151.79±11.24) g/L, P<0.001]. Univariate Pearson correlation analysis showed that hemoglobin was positively associated with serum uric acid (r=0.444, P<0.001). After adjusting for related confounding factors, multivariate logistic regression analysis showed that hemoglobin was associated with serum uric acid, and the OR values (95%CI) of hemoglobin Q₂ to Q₄ group were 1.29 (1.13-1.48), 1.42 (1.24-1.62) and 1.51 (1.32-1.72), respectively (P_trend<0.001) when compared with hemoglobin Q₁ group. Subgroup analysis and hierarchical interaction analysis suggested that with the increase of hemoglobin, the serum uric acid in the age<60 years subgroup, normal glucose subgroup and prediabetes subgroup increased gradually (P_trend<0.05 and P_interaction<0.001). Conclusion: The association between hemoglobin and serum uric acid in adults is affected by age and glucose metabolism status.
Humans ; Adult ; Middle Aged ; Uric Acid ; Hyperuricemia/epidemiology* ; Hemoglobins ; Prediabetic State ; Glucose ; Risk Factors

OBJECTIVES: Prediabetes is associated with an increased risk of cognitive impairment and neurodegenerative diseases. However, the exact mechanism of prediabetes-related brain diseases has not been fully elucidated. The brain structure of patients with prediabetes has been damaged to varying degrees, and these changes may affect the topological characteristics of large-scale brain networks. The structural covariance of connected gray matter has been demonstrated valuable in inferring large-scale structural brain networks. The alterations of gray matter structural covariance networks in prediabetes remain unclear. This study aims to examine the topological features and robustness of gray matter structural covariance networks in prediabetes. METHODS: A total of 48 subjects were enrolled in this study, including 23 patients with prediabetes (the PD group) and 25 age-and sex-matched healthy controls (the Ctr group). All subjects' high-resolution 3D T₁ images of the brain were collected by a 3.0 Tesla MR machine. Mini-mental state examination was used to evaluate the cognitive status of each subject. We calculated the gray matter volume of 116 brain regions with automated anatomical labeling (AAL) template, and constructed gray matter structural covariance networks by thresholding interregional structural correlation matrices as well as graph theoretical analysis. The area under the curve (AUC) in conjunction with permutation testing was employed for testing the differences in network measures, which included small world parameter (Sigma), normalized clustering coefficient (Gamma), normalized path length (Lambda), global efficiency, characteristic path length, local efficiency, mean clustering coefficient, and network robustness parameters. RESULTS: The network in both groups followed small-world characteristics, showing that Sigma was greater than 1, the Lambda was much higher than 1, and Gamma was close to 1. Compared with the Ctr group, the network of the PD group showed increased Sigma, Lambda, and Gamma across a range of network sparsity. The Gamma of the PD group was significantly higher than that in the Ctr group in the network sparsity range of 0.12-0.16, but there was no difference between the 2 groups (all P>0.05). The grey matter network showed an increased characteristic path length and a decreased global efficiency in the PD group, but AUC analysis showed that there was no significant difference between groups (all P>0.05). For the network separation measures, the local efficiency and mean clustering coefficient of the gray matter network in the PD group were significantly increased and AUC analysis also confirmed it (P=0.001 and P=0.004, respectively). In addition, network robustness analysis showed that the grey matter network of the PD group was more vulnerable to random damage (P=0.001). CONCLUSIONS The prediabetic gray matter network shows an increased average clustering coefficient and local efficiency, and is more vulnerable to random damage than the healthy control, suggesting that the topological characteristics of the prediabetes grey matter covariant network have changed (network separation enhanced and network robustness reduced), which may provide new insights into the brain damage relevant to the disease.
Humans ; Gray Matter/diagnostic imaging* ; Prediabetic State ; Magnetic Resonance Imaging ; Cerebral Cortex ; Brain

Objective: To explore the incidence and influencing factors of prediabetes in adults in China. Methods: Ten provinces (cities) were selected from the surveillance survey of chronic diseases and their risk factors in China in 2010; two monitoring sites were selected from each province (city) as follow-up spots, and a follow-up survey was conducted from 2016 to 2017. An unconditional logistic regression model was used to analyze the influencing factors of prediabetes. Results: A total of 5 578 participants were included in this study. During the follow-up period, 612 patients (268 males and 344 females) developed impaired glucose tolerone (IGT), with a total follow-up of 37 364.82 person-years, and the incidence of IGT was 16.4/1 000 person-years. Impaired fasting glucose (IFG) occurred in 290 patients (128 males and 162 females) with a total follow-up of 39 731.31 person-years, and the incidence of IFG was 7.3/1 000 person-years. The multivariate unconditional logistic regression model included age, urban and rural areas, family history of diabetes, BMI, central obesity, dyslipidemia, hypertension, and physical activity, and the results showed that age (≥50 years old: OR=1.60, 95%CI: 1.32-1.95), urban residents (OR=1.41, 95%CI: 1.16-1.71), obesity (OR=1.56, 95%CI: 1.12-2.19), dyslipidemia (OR=1.52, 95%CI: 1.25-1.83), hypertension (OR=1.32, 95%CI: 1.07-1.61) and physical inactivity (OR=1.25, 95%CI: 1.04-1.50) increase the risk of IGT. Age (≥50 years old: OR=1.31, 95%CI: 1.01-1.70), family history of diabetes (OR=1.71, 95%CI: 1.13-2.60), overweight (OR=1.41, 95%CI: 1.04-1.92), obesity (OR=2.09, 95%CI: 1.38-3.17) and hypertension (OR=1.53, 95%CI: 1.18-2.00) increase the risk of IFG. Conclusions: The incidence of IGT is higher than the IFG. People aged 50 and above, overweight and obese people, hypertension patients, dyslipidemia patients, people with insufficient physical activity, and family history of diabetes are prone to prediabetic events.
Adult ; Female ; Male ; Humans ; Middle Aged ; Prediabetic State/epidemiology* ; Incidence ; Overweight ; Obesity ; Hypertension ; Glucose ; China/epidemiology*

Objective: To evaluate the relationship of serum uric acid with prediabetes and newly detected type 2 diabetes mellitus (T2DM) in adults. Methods: Data were obtained from the baseline investigation of Songjiang Peak-Plan cohort. According to the baseline fasting plasma glucose and glycosylated hemoglobin, the eligible subjects were divided into normal blood sugar group, prediabetes group, and newly detected T2DM group. Unconditional logistic regression model was used to explore the effect of serum uric acid level on prediabetes and newly detected T2DM, and restricted cubic spline (RCS) function was used to explore the nonlinear dose-response relationship of serum uric acid level with the prevalence of prediabetes and newly detected T2DM. Results: A total of 30 375 subjects were included in the analysis, with an average age of (55.36±11.52) years, and 60.2% (18 299) of them were women. The baseline survey found that the prevalence of prediabetes was 38.6% (11 739 cases), and the prevalence of newly detected T2DM was 6.6% (1 992 cases). Logistic regression analysis showed that, in women, for every 10µmol/L increase in serum uric acid, the risk of developing prediabetes and T2DM s increased by 2.4% (OR=1.024, 95%CI: 1.018-1.030), and 1.5% (OR=1.015, 95%CI: 1.005-1.025), respectively; in men, for every 10 µmol/L increase in serum uric acid, the risk of developing prediabetes and T2DM decreased by 0.8% (OR=0.992, 95%CI: 0.987-0.998) and 5.0% (OR=0.950, 95%CI: 0.939-0.960), respectively. The RCS function showed that the serum uric acid level showed a nonlinear dose-response relationship with newly detected T2DM (P=0.017), but not with prediabetes (P=0.670) in women and showed a nonlinear dose-response relationship with both prediabetes (P=0.040) and newly detected T2DM (P<0.001) in men. Conclusions: Adult women are at increased risk of prediabetes and newly detected T2DM with increase of serum uric acid level, and adult men are at decreased risk of newly diagnosed T2DM with the increase of serum uric acid level. There was no significant relationship between serum uric acid level and prediabetes in men.
Adult ; Male ; Female ; Humans ; Middle Aged ; Aged ; Prediabetic State/epidemiology* ; Uric Acid ; Diabetes Mellitus, Type 2/epidemiology* ; Glycated Hemoglobin ; Fasting