OBJECTIVES

In the past decade, the prevalence of diabetes in the Philippines has been increasing. The prevalence of diabetes is 7.1% and it is the sixth leading cause of death among adults. Preventive measures to address the incidence of diabetes, as well as diabetes-related complications, have been in place. However, knowledge of the risk factors for developing cardiovascular or renal-related Type 2 Diabetes Mellitus (T2DM) complications has numerous benefits for T2DM patients. This study aimed to describe common risk factors among Filipino T2D patients which increase their risk of developing cardiorenal complications including Heart Failure and CKD. Furthermore, the study aimed to assess the
awareness of T2DM patients regarding these risk factors

A clinic-based cross-sectional survey among Filipinos with T2DM Philippines was conducted in the different regions in the Philippines from April 2021 to January 2022. The study participants were 16,268 patients of various ages and sex, however, only 11,578 of them answered the form completely. The patients and their corresponding physicians answered a validated self-assessment form on whether they had 8 identified risk factors for T2DM.

This survey identified Hypertension as the most common risk factor present in 96.49% of T2DM patients followed by Dyslipidemia (82.56%), Family History of CVD (77.11%), Obesity (59.66%), Kidney Disease (38.08%), Personal History of CVD (36.22%), Smoking (35.49%) and Family History of Kidney Disease (33.05%). Most patients were aware of the presence of these risk factors. However, there were some identified by the physician but unknown to the patient. In decreasing order of frequency, these were personal history of heart and blood vessel diseases (7.19%), followed by family history of kidney disease (5.44%) and smoking (5.1%).

This survey was able to identify crucial risk factors in developing T2DM complications that are most common among T2DM patients in the Philippines. Furthermore, for the first time, the study was able to show the level of awareness of T2DM patients regarding the risk factors that they have in developing these complications. These data show the importance of determining and addressing the common risk factors in preventing T2DM complications. Moreover, identification of these risk factors is an important step in prevention of cardiorenal complications.

OBJECTIVE: To observe the effects of moxibustion at different temperatures on cognitive function and blood glucose levels in patients with cognitive impairment associated with type 2 diabetes mellitus (T2DM). METHODS: A total of 66 T2DM patients with cognitive impairment were randomly assigned to a high-temperature group (22 cases, 1 case dropped out, 1 case was eliminated), a medium-temperature group (22 cases, 2 cases were eliminated), and a low-temperature group (22 cases, 2 cases were eliminated). All groups received moxibustion at Baihui (GV20), Dazhui (GV14), and Shenting (GV24) based on their existing glycemic control treatment. Moxibustion temperatures were maintained at 44-46 ℃ (high-temperature group), 41-43 ℃ (medium-temperature group), and 38-40 ℃ (low-temperature group), respectively, for 20 min per session, every other day, 3 times a week for 3 months. The Montreal cognitive assessment (MoCA) score, mini-mental state examination (MMSE) score, short-term memory (STM) accuracy and average reaction time, Rey-Osterrieth complex figure (ROCF) score, fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c) were assessed before and after treatment. Clinical efficacy was evaluated after treatment. RESULTS: After treatment, MMSE scores in all three groups were higher than those before treatment (P<0.05). In the high-temperature group, the total MoCA score and the scores of visuospatial and executive function, memory and delayed recall, attention, naming, language, and abstraction were higher than those before treatment (P<0.05); the scores of ROCF copy, immediate recall, and delayed recall were higher than those before treatment (P<0.05); the HbA1c level was lower than that before treatment (P<0.05). In the medium-temperature group, the total MoCA score and the scores of memory and delayed recall, attention, and language were higher than those before treatment (P<0.05). STM accuracy was higher than before treatment (P<0.05), and STM average reaction time was shorter than before treatment (P<0.05) in both the high-temperature and medium-temperature groups. After treatment, the total MoCA score and the scores of visuospatial and executive function, memory and delayed recall, attention, and language in the high-temperature group were higher than those in the medium- and low-temperature groups (P<0.05); MMSE score, STM accuracy, and ROCF immediate recall and delayed recall scores were higher than those in the medium- and low-temperature groups (P<0.05); STM average reaction time was shorter than that in the medium- and low-temperature groups (P<0.05); HbA1c level was lower than that in the low-temperature group (P<0.05). The total MoCA score, attention score, and MMSE score in the medium-temperature group were higher than those in the low-temperature group (P<0.05), and STM average reaction time was shorter than that in the low-temperature group (P<0.05). There were no statistically significant differences in FPG within or between the three groups before and after treatment (P>0.05). The total effective rates were 75.0% (15/20) in the high-temperature group, 50.0% (10/20) in the medium-temperature group, and 15.0% (3/20) in the low-temperature group; the total effective rate in the high-temperature group was significantly higher than that in the low-temperature group (P<0.05). CONCLUSION Moxibustion at different temperatures has a dose-effect relationship in treating cognitive impairment in T2DM patients. A temperature range of 44-46 ℃ is more effective in improving cognitive function and stabilizing average blood glucose levels over 2-3 months.
Humans ; Diabetes Mellitus, Type 2/therapy* ; Male ; Female ; Moxibustion ; Middle Aged ; Aged ; Cognitive Dysfunction/psychology* ; Cognition ; Temperature ; Blood Glucose/metabolism* ; Adult ; Acupuncture Points

OBJECTIVES: To investigate the current status and influencing factors of quality of life in children and adolescents with type 1 diabetes (T1DM) in Xinjiang. METHODS: A convenience sampling method was used to select 259 children with T1DM and their primary caregivers who attended three tertiary hospitals in Xinjiang from January 2023 to February 2024. The Pediatric Quality of Life Inventory^TM Version 4.0 Generic Core Scales (PedsQL^TM4.0) and Pediatric Quality of Life Inventory^TM Version 3.2 Diabetes Module (PedsQL^TM3.2-DM) were used to assess the quality of life of the children. Information on family demographics, caregiver burden, and caregiving ability was also collected. Multiple linear regression analysis was employed to identify factors associated with the quality of life of the children. RESULTS: The scores for PedsQL^TM4.0 and PedsQL^TM3.2-DM were 77±16 and 71±16, respectively. Both were negatively correlated with caregiver burden (P<0.05) and positively correlated with caregiving ability (P<0.05). Multiple linear regression analysis indicated that caregiver burden, caregiving ability, family income, and parent-child relationship were significantly associated with generic quality of life (P<0.05), whereas caregiver burden, caregiving ability, disease duration, place of residence, and glycated hemoglobin level were significantly associated with diabetes-specific quality of life (P<0.05). CONCLUSIONS The overall quality of life of children and adolescents with T1DM in Xinjiang is relatively low. The quality of life is influenced by a combination of factors including family caregiver burden, caregiving ability, family income, parent-child relationship, disease duration, place of residence, and glycated hemoglobin level. Strategies to improve quality of life should consider the combined impact of individual disease characteristics and family factors.
Humans ; Quality of Life ; Diabetes Mellitus, Type 1/psychology* ; Adolescent ; Child ; Male ; Female ; Caregivers/psychology* ; Child, Preschool ; Linear Models

Objective: To investigate the psychological effect of physical function dependence on maintenance hemodialysis (MHD) patients and their primary family caregivers. Methods: The study was a cross-sectional survey. The MHD patients in the hemodialysis centre, the Third Affiliated Hospital of Guangzhou Medical University from March 2022 to June 2022 were enrolled. The patients' demographics and laboratory data were collected. Katz and Lawton-Brody questionnaires were used to assess patients' physical function, and Five Item Mental Health Inventory (MHI-5) was used to evaluate the psychological conditions of the patients and their primary family caregivers. Multiple linear regression analysis was used to analyze the influencing factors of MHI-5 scores of the patients and their primary family caregivers. Results: A total of 116 patients were included, with 61 males and 55 females. There were 47 patients (40.5%) with physical function dependence. In the physical function dependence group, serum albumin (t=-2.512, P=0.013), MHI-5 scores of patients and their primary family caregivers (t=-8.461, P < 0.001; t=-8.533, P < 0.001) and male ratio (χ²=8.467, P=0.002) were significantly lower, and the age (t=9.754, P < 0.001) and the proportions of hypertension (χ²=20.421, P < 0.001), diabetes (χ²=10.470, P=0.002), cardiovascular and cerebrovascular diseases (χ²=9.898, P=0.003) were significantly higher than those in the normal physical function group. The incidence of mental disorders in MHD patients was 39.7%(46/116), and the incidence of mental disorders in the physical function dependence group was significantly higher than that in the normal physical function group [72.3%(34/47) vs. 17.4%(12/69), χ²=35.275, P < 0.001]. The incidence of mental disorders in the primary family caregivers was 32.8%(38/116), and the incidence of mental disorders in the primary family caregivers of physical function dependence group was significantly higher than that in the normal physical function group [66.0%(31/47) vs. 10.1%(7/69), χ²=39.536, P < 0.001]. The incidence of mental disorders in the primary family caregivers of MHD patients who were not spouses was significantly higher than that of spouses [46.0%(29/63) vs. 17.0%(9/53), χ²=11.028, P=0.001], and in physical function dependence group, the incidence of mental disorders in non-spouses was significantly higher than that in spouses [80.6%(25/31) vs. 37.5%(6/16), χ²=8.749, P=0.003]. Multiple linear analysis showed that bathing (β=-5.182, P=0.015), doing laundry (β=-7.053, P < 0.001), taking medication (β=-8.680, P=0.003), and female patients (β=-2.982, P=0.030) were the influencing factors of MHI-5 scores decline in MHD patients. Bathing (β=-4.404, P=0.032), preparing meals (β=-3.954, P=0.041), managing money (β=-5.067, P=0.021), and female patients (β=-2.466, P=0.042) were the influencing factors of MHI-5 scores decline in primary family caregivers. Conclusions: The incidence of physical function dependence in MHD patients is high, and its manifestations and influencing factors are diverse. The incidence of mental disorders in MHD patients and their primary family caregivers is also high, especially in patients with physical function dependence and non- spouse family caregivers. Clinicians should pay attention to and assess the physical function dependence of MHD patients as early as possible, and intervene in time. At the same time, they should also pay attention to the mental health of MHD patients and their primary family caregivers.
Humans ; Male ; Female ; Caregivers ; Cross-Sectional Studies ; Renal Dialysis/psychology* ; Hypertension ; Diabetes Mellitus

BACKGROUND: A number of studies have reported future prevalence estimates for diabetes mellitus (DM), but these studies have been limited for the Korean population. The present study aimed to construct a forecasting model that includes risk factors for type 2 DM using individual- and national-level data for Korean adults to produce prevalence estimates for the year 2030. METHODS: Time series data from the Korea National Health and Nutrition Examination Survey and national statistics from 2005 to 2013 were used. The study subjects were 13,908 male and 18,697 female adults aged 30 years or older who were free of liver cirrhosis. Stepwise logistic regression analysis was used to select significant factors associated with DM prevalence. RESULTS: The results showed that survey year, age, sex, marital, educational, or occupational status, the presence of obesity or hypertension, smoking status, alcohol consumption, sleep duration, psychological distress or depression, and fertility rate significantly contributed to the 8-year trend in DM prevalence (P < 0.05). Based on sex-specific forecasting models that included the above factors, DM prevalence for the year 2030 was predicted to be 29.2% (95% confidence interval [CI], 27.6% to 30.8%) in men and 19.7% (95% CI, 18.2% to 21.2%) in women. CONCLUSION: The present study projected a two-fold increase in the prevalence of DM in 2030 compared with that for the years 2013 and 2014 in Korean adults. Modifiable factors contributing to this increase in DM prevalence, such as obesity, smoking, and psychological factors, may require attention in order to reduce national and individual costs associated with DM.
Adult ; Alcohol Drinking ; Birth Rate ; Depression ; Diabetes Mellitus ; Employment ; Female ; Forecasting ; Humans ; Hypertension ; Korea ; Liver Cirrhosis ; Logistic Models ; Male ; Nutrition Surveys ; Obesity ; Prevalence ; Psychology ; Risk Factors ; Smoke ; Smoking

OBJECTIVES: This study identifies associated factors of ischemic heart disease (IHD) among post-menopausal Korean women at the biomedical (age, family history of hypertension, dyslipidemia, type 2 diabetes mellitus, or cerebro-cardiovascular disease, body mass index, and metabolic syndrome), biosocial (socioeconomic status and educational level), and psychosocial levels (stress, depression, smoking, binge alcohol consumption, and physical activity). METHODS: This study used a cross-sectional design with secondary data analysis of the 2013–2016 Korean National Health and Nutrition Examination Survey. Data from 3,636 women were analyzed by logistic regression analysis using a complex sample procedure. RESULTS: Of the biomedical factors, older age [odds ratio (OR): 2.99, 95% confidence interval (CI): 1.87–4.80, p < 0.001], family history (OR: 2.29, 95% CI: 1.44–3.65, p = 0.001), and metabolic syndrome (OR: 1.93, 95% CI: 1.27–2.95, p = 0.002) were associated with IHD in post-menopausal women. Of the psychosocial factors, depression (OR: 2.56, 95% CI: 1.66–3.96, p < 0.001) and smoking (OR: 1.92, CI: 1.04–3.55, p = 0.038) were associated with IHD in post-menopausal women. CONCLUSION: These findings suggest that healthcare providers need to consider the contributing adverse effects of older age, family history, metabolic syndrome, depression and smoking when evaluating risk factors for IHD in post-menopausal women.
Alcohol Drinking ; Body Mass Index ; Coronary Artery Disease ; Depression ; Diabetes Mellitus, Type 2 ; Dyslipidemias ; Female ; Health Personnel ; Humans ; Hypertension ; Logistic Models ; Myocardial Ischemia ; Nutrition Surveys ; Postmenopause ; Psychology ; Risk Factors ; Smoke ; Smoking ; Statistics as Topic

BACKGROUND: Recent evidences indicate that early rapid renal function decline is closely associated with the development and progression of diabetic kidney disease. We have investigated the association between carotid atherosclerosis and rapid renal function decline in patients with type 2 diabetes mellitus and preserved renal function.METHODS: In a prospective, multicenter cohort, a total of 967 patients with type 2 diabetes mellitus and preserved renal function were followed for 6 years with serial estimated glomerular filtration rate (eGFR) measurements. Common carotid intima-media thickness (CIMT) and presence of carotid plaque were assessed at baseline. Rapid renal function decline was defined as an eGFR decline >3.3% per year.RESULTS: Over a median follow-up of 6 years, 158 participants (16.3%) developed rapid renal function decline. While there was no difference in CIMT, the presence of carotid plaque in rapid decliners was significantly higher than in non-decliners (23.2% vs. 12.2%, P<0.001). In multivariable logistic regression analysis, presence of carotid plaque was an independent predictor of rapid renal function decline (odds ratio, 2.33; 95% confidence interval, 1.48 to 3.68; P<0.0001) after adjustment for established risk factors. The model including the carotid plaque had better performance for discrimination of rapid renal function decline than the model without carotid plaque (area under the receiver operating characteristic curve 0.772 vs. 0.744, P=0.016).CONCLUSION: Close monitoring of renal function and early intensive management may be beneficial in patients with type 2 diabetes mellitus and carotid plaques.
Carotid Artery Diseases ; Carotid Intima-Media Thickness ; Carotid Stenosis ; Cohort Studies ; Diabetes Mellitus, Type 2 ; Diabetic Nephropathies ; Discrimination (Psychology) ; Follow-Up Studies ; Glomerular Filtration Rate ; Humans ; Logistic Models ; Prospective Studies ; Risk Factors ; ROC Curve

BACKGROUND: The nuclear receptor peroxisome proliferator-activator gamma (PPARγ) is a useful therapeutic target for obesity and diabetes, but its role in protecting β-cell function and viability is unclear. METHODS: To identify the potential functions of PPARγ in β-cells, we treated mouse insulinoma 6 (MIN6) cells with the PPARγ agonist pioglitazone in conditions of lipotoxicity, endoplasmic reticulum (ER) stress, and inflammation. RESULTS: Palmitate-treated cells incubated with pioglitazone exhibited significant improvements in glucose-stimulated insulin secretion and the repression of apoptosis, as shown by decreased caspase-3 cleavage and poly (adenosine diphosphate [ADP]-ribose) polymerase activity. Pioglitazone also reversed the palmitate-induced expression of inflammatory cytokines (tumor necrosis factor α, interleukin 6 [IL-6], and IL-1β) and ER stress markers (phosphor-eukaryotic translation initiation factor 2α, glucose-regulated protein 78 [GRP78], cleaved-activating transcription factor 6 [ATF6], and C/EBP homologous protein [CHOP]), and pioglitazone significantly attenuated inflammation and ER stress in lipopolysaccharide- or tunicamycin-treated MIN6 cells. The protective effect of pioglitazone was also tested in pancreatic islets from high-fat-fed KK-Ay mice administered 0.02% (wt/wt) pioglitazone or vehicle for 6 weeks. Pioglitazone remarkably reduced the expression of ATF6α, GRP78, and monocyte chemoattractant protein-1, prevented α-cell infiltration into the pancreatic islets, and upregulated glucose transporter 2 (Glut2) expression in β-cells. Moreover, the preservation of β-cells by pioglitazone was accompanied by a significant reduction of blood glucose levels. CONCLUSION: Altogether, these results support the proposal that PPARγ agonists not only suppress insulin resistance, but also prevent β-cell impairment via protection against ER stress and inflammation. The activation of PPARγ might be a new therapeutic approach for improving β-cell survival and insulin secretion in patients with diabetes mellitus
Animals ; Apoptosis ; Blood Glucose ; Caspase 3 ; Chemokine CCL2 ; Cytokines ; Diabetes Mellitus ; Endoplasmic Reticulum Stress* ; Endoplasmic Reticulum* ; Glucose Transport Proteins, Facilitative ; Humans ; Inflammation* ; Insulin ; Insulin Resistance ; Insulin-Secreting Cells ; Insulinoma ; Interleukin-6 ; Islets of Langerhans ; Mice ; Necrosis ; Obesity ; Peptide Initiation Factors ; Peroxisomes ; Repression, Psychology ; Transcription Factors

BACKGROUND: A diabetes risk score in Korean adults was developed and validated. METHODS: This study used the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) of 359,349 people without diabetes at baseline to derive an equation for predicting the risk of developing diabetes, using Cox proportional hazards regression models. External validation was conducted using data from the Korean Genome and Epidemiology Study. Calibration and discrimination analyses were performed separately for men and women in the development and validation datasets. RESULTS: During a median follow-up of 10.8 years, 37,678 cases (event rate=10.4 per 1,000 person-years) of diabetes were identified in the development cohort. The risk score included age, family history of diabetes, alcohol intake (only in men), smoking status, physical activity, use of antihypertensive therapy, use of statin therapy, body mass index, systolic blood pressure, total cholesterol, fasting glucose, and γ glutamyl transferase (only in women). The C-statistics for the models for risk at 10 years were 0.71 (95% confidence interval [CI], 0.70 to 0.73) for the men and 0.76 (95% CI, 0.75 to 0.78) for the women in the development dataset. In the validation dataset, the C-statistics were 0.63 (95% CI, 0.53 to 0.73) for men and 0.66 (95% CI, 0.55 to 0.76) for women. CONCLUSION: The Korean Diabetes Risk Score may identify people at high risk of developing diabetes and may be an effective tool for delaying or preventing the onset of condition as risk management strategies involving modifiable risk factors can be recommended to those identified as at high risk.
Adult ; Blood Pressure ; Body Mass Index ; Calibration ; Cholesterol ; Cohort Studies* ; Dataset ; Diabetes Mellitus ; Discrimination (Psychology) ; Epidemiology ; Fasting ; Female ; Follow-Up Studies ; Genome ; Glucose ; Humans ; Hydroxymethylglutaryl-CoA Reductase Inhibitors ; Korea ; Male ; Mass Screening ; Motor Activity ; National Health Programs ; Risk Assessment ; Risk Factors ; Risk Management ; Smoke ; Smoking ; Transferases

Type 2 diabetes (T2D) has been associated with a high prevalence of depression.We aimed to determine the causal relation by performing a Mendelian randomization (MR) study using 34 T2D risk genetic variants validated in East Asians as the instrumental variable (IV). An MR analysis was performed involving 11 506 participants from a large longitudinal study. The T2D genetic risk score (GRS) was built using the 34 typical T2D common variants. We used T2D_GRS as the IV estimator and performed inverse-variance weighted (IVW) and Egger MR analysis. The T2D_GRS was found to be associated with depression with an OR of 1.21 (95% CI: 1.07-1.37) after adjustments for age, sex, body mass index, current smoking and drinking, physical activity, education, and marital status. Using T2D_GRS as the IV, we similarly found a causal relationship between genetically determined T2D and depression (OR: 1.84, 95% CI: 1.25-2.70). Though we found no association between the combined effect of the genetic IVs for T2D and depression with EggerMR(OR: 0.95, 95%CI: 0.42-2.14), we found an association for T2D and depression with IVW (OR: 1.75, 95% CI: 1.31-2.46) after excluding pleiotropic SNPs. Overall, the MR analyses provide evidence inferring a potential causal relationship between T2D and depression.
Aged ; Causality ; China ; epidemiology ; Depression ; epidemiology ; etiology ; Diabetes Mellitus, Type 2 ; complications ; genetics ; psychology ; Female ; Genetic Variation ; Genotype ; Humans ; Linear Models ; Longitudinal Studies ; Male ; Mendelian Randomization Analysis ; Middle Aged ; Polymorphism, Single Nucleotide ; Psychiatric Status Rating Scales ; Risk Factors ; Sensitivity and Specificity