High Fasting Blood Sugar Research Articles

Analysis of the trend of Alzheimer's disease burden in China from 1990 to 2021

To analyze the disease burden of Alzheimer's disease (AD) in China from 1990 to 2021 and its trend of change, providing evidence for targeted interventions to reduce the burden of AD. A descriptive analysis of AD and its main risk factors among males and females of different ages in China from 1990 to 2021 was conducted using the Global Burden of Disease (GBD) 2021 database. The evaluation indicators were incidence rate, prevalence rate, mortality rate, and disability-adjusted life years (DALYs). The risk factors included high body mass index (BMI), high fasting plasma glucose, and smoking. The results showed that in 2021, the number of AD incidence among the Chinese population was 2 914 112 (204.8/100 000), the number of prevalence was 16 990 827 (1 194.2/100 000), the number of DALYs was 10 072 477 (708.0/100 000), and the number of deaths was 491 773 (34.6/100 000), which increased by 242.7%, 249.1%, 208.2%, and 239.4% respectively compared with 1990. In 2021, the AD incidence rate (264.4/100 000), prevalence rate (1 558.9/100 000), DALYs rate (935.8/100 000), and mortality rate (47.3/100 000) were all higher in women than in men. All rates showed a clear age-dependent trend. In 2021, the DALYs attributable to smoking, high BMI, and high fasting plasma glucose in the AD population in China were 602 501.1 (42.3/100 000), 466 728.7 (32.8/100 000), and 1 204 039.4 (84.6/100 000), respectively, with death tolls of 24 897.3 (1.7/100 000), 20 856.3 (1.5/100 000), and 58 838.2 (4.1/100 000). The proportion of DALYs attributable to high BMI showed an upward trend during 1990-2021, while the proportion of DALYs attributable to smoking showed a gradual decrease. The difference in the attributable risk factors between the genders was significant. In 2021, the highest risk among men was attributed to smoking, with DALYs rate and mortality rate of 68.3/100 000 and 2.7/100 000, respectively. In contrast, the highest risk among women was attributed to high fasting blood sugar, with DALYs rate and mortality rate of 111.1/100 000 and 5.6/100 000, respectively. In conclusion,the disease burden of AD is still increasing, and targeted interventions should be taken for both males and females to reduce the burden of AD by reducing unhealthy lifestyles.

Prevalence of normal weight obesity and its cardiometabolic implications among government doctors in Gujarat, India: a cross-sectional study

BackgroundObesity is rising globally. Normal weight obesity (NWO) and normal weight central obesity (NWCO) despite normal BMI pose added metabolic risks. Limited data on these phenotypes among Indian doctors merits investigation. The present study aimed to assess the prevalence of overall obesity, NWO, NWCO, and their associations with cardiometabolic risks among doctors in Gujarat, India.MethodsIt’s a Cross-sectional study among 490 doctors aged 20–60 years at a tertiary hospital. Anthropometry, blood pressure, fasting glucose, and lipids were assessed. NWO was defined as a BMI of 18.5–24.9 kg/m2 with a high body fat percentage. NWCO as normal BMI and increased waist circumference. Body composition was assessed using an Omron body composition analyzer.ResultsThe prevalence of overall obesity was 101 (20%), NWO 239 (48.7%), and NWCO 210 (42.8%). Mean BMI, blood pressure, glucose, and LDL increased from normal weight to NWO/NWCO groups (p < 0.05). NWO and NWCO had significantly higher odds of hypertension, dyslipidemia, and high fasting blood sugar compared to non-obese after adjusting for confounders.ConclusionThe high burden of overall obesity, NWO, and NWCO among doctors highlights the need for lifestyle interventions to mitigate long-term cardiometabolic disease risk.

Metabolic Syndrome and Its Component Factors Among Corporate Company Employees in Kampala Uganda.

Metabolic syndrome (MetS), a cluster of metabolic dysregulations indicative of increased cardiometabolic risk is on the rise in Sub-Saharan Africa. The study aimed to determine the prevalence of MetS and its components, among corporate employees in Kampala, Uganda. A cross-sectional survey was undertaken among 408 adults who were employees from seven corporate companies in Kampala, using the WHO STEPwise NCD screening approach. Metabolic syndrome was measured using the National Cholesterol Education Program Adult Treatment Panel (ATPIII) and the International Diabetes Federation (IDF) criteria with the waist circumference (WC) cut-off points adapted for Sub-Saharan African populations. The mean population age (standard deviation [SD]) of the respondents was 34years (± 8.87) years and 52% of them were females. The prevalence of MetS was 22.8% (NCEP ATPIII) and 28.4% (IDF). Of the respondents who did not have MetS, 75% had at least one metabolic dysregulation. Of those respondents with MetS, only 31% perceived that they were at risk of this cluster of metabolic dysregulations. In this analysis, we observed that the systolic blood pressure (BP) and the body mass index (BMI) correlated strongly (r = 0.81 and r = 0.71) with the diastolic BP and waist circumference (WC), respectively. Age on the other hand correlated fairly with the WC and BMI (both r values = 0.46). Principal component analysis showed that the greatest loadings in principle factors one, two and three were from central obesity, with low HDL-C explaining 60.8% variance in the population. Age, BMI, family history of having cardiometabolic disorders, and perceived cardiometabolic disease risk (CMR) were associated with an increased risk of MetS by 5, 8.86, 1.55, and 2.73 (all P values were < 0.05) respectively in this group of respondents. These risks remained for age, BMI and perceived CMR after removing the confounding effects of education status, marital status and family history of cardiometabolic disease. Being single on the other hand, was associated with a reduced risk of MetS (0.23, p < 0.009). While the primary contributors to the high prevalence of MetS among corporate employees in Kampala, Uganda were the high BP, high WC and high fasting blood sugar (FBS); age, BMI and perceived CMR were the key determinants of MetS. Future MetS interventions should aim to control and monitor obesity indicators in this population. Additionally, the findings inform targeted screening parameters for cardiometabolic risk assessment and suggest the need for further research into a weighted algorithm for MetS in this population.

Prevalence of Non-alcoholic Fatty Liver Disease - A Population Based Study

Background: Non alcoholic fatty liver disease (NAFLD) is defined as the accumulation of excess fat in the liver in the absence of significant alcohol consumption. NAFLD is a common cause of chronic liver disease. The overall prevalence of NAFLD in western countries varies from 15-40% and in Asian 9-40%. Its prevalence has not been determined in population based study in Bangladesh. The objective of the study was to determine the prevalence and risk factors of NAFLD in adult rural population. Methods: This cross-sectional study was performed among adult population of two villages of Comilla district, Bangladesh from January to December 2015. Persons with alcohol consumption and other liver diseases were excluded. Individuals were undergone anthropometric, blood pressure measurements, thorough medical history and physical examinations. Laboratory measurements included were fasting blood sugar (FBS), fasting lipid profile, and liver function tests. NAFLD was diagnosed by transabdominal ultrasonography. Statistical analyses were performed using the SPSS software, version16.0. Results: Among 665 subjects, 213 were males (32%) and 452 were females (68%) with the mean age of 42.2 ± 15.04 years. NAFLD was diagnosed in 33% subjects. NAFLD were high in 41-60 age group (48.7%) and in female gender (P=&lt;0.175). Subjects with NAFLD had higher BMI (P&lt;0.001), higher prevalence of hypertension (P&lt;0.001), high FBS (P&lt;0.001), high cholesterol (P=0.026), high triglyceride (P&lt;0.001) and high waist circumference (P&lt;0.001). Subjects with NAFLD had significantly higher prevalence of metabolic syndrome when compared to healthy subjects (P&lt;0.001). Conclusion: The prevalence of NAFLD in rural adult population of Bangladesh is 33% and is associated with female gender, obesity and features of metabolic syndrome. J Com Med Col Teachers Asso Jan 2024; 28(1): 27-32

Türkiye's Global Burden of Disease and Health Policy Priorities

ABSTRACT Purpose: This study was conducted to reveal Türkiye's current situation and make policy recommendations within the scope of the global disease burden 2019 report. Materials and Methods: The data of the study were obtained from the Ministry of Health 2022 health statistics yearbook and IHME 2019 global disease burden report. Within the scope of YLL, YLD, DALY and HALE data, international comparisons were made with age, gender, time, causes and risk factors within the scope of 2002-2019 in Türkiye and policy recommendations were made. Results: Ischemic heart disease, stroke, respiratory tract cancer and diseases are in an upward trend in the disease burden of Türkiye. There have been positive developments regarding maternal and child health. The most important risk factors are; It has been observed that there is tobacco use, high fasting blood sugar and blood pressure, and obesity. Conclusion: Türkiye has indicators at the level of middle-upper income country group in terms of disease burden. Although there are positive developments regarding maternal and child health, Türkiye has an increasing tendency to face a heavy burden of chronic diseases after middle age. This situation indicates that the management of health services becomes more difficult, health expenditures increase and an unhealthy aging society. It is recommended that protective, preventive and health-promoting policies be implemented widely and effectively by balancing the capacity of treatment services.

The contribution of metabolic risk factors to cardiovascular mortality in Golestan cohort study: Population attributable fraction estimation

BackgroundCardiovascular diseases (CVDs) are the leading causes of global mortality and disability. Several studies demonstrated that metabolic risk factors increase cardiovascular mortality. The aim of this study is to examine CVDs deaths and population attributable fractions (PAFs) of their metabolic risk factors in Iran. MethodsThis is a study on 8621 participants aged 45–75 years and older, recruited in the repeated measurement phase of the Golestan cohort study (GCS) in northeast of Iran. The Cox proportional hazards model was used to determine the adjusted hazard ratios (HRs). PAFs were calculated to enumerate CVDs mortality avoidable in the population if metabolic risk factors were eliminated. ResultsThe mortality of CVDs was attributable to metabolic factors, including high waist circumference (PAF, 28 %, [95 % CI: 16%–38 %]), high fasting blood sugar (FBS) (20 %, [15%–24 %]), overweight and obesity (19 %, [8%–28 %]), high blood pressure (16 %, [11%–21 %]), high low-density lipoprotein cholesterol (LDL-C) (8 %, [1%–15 %]), and high triglyceride (TG) (7 %, [3%–11 %]). Collectively, these metabolic risk factors accounted for 50 % of CVDs deaths. Females (67 %, [50%–78 %]) had a higher joint PAF of metabolic risk factors compared to males (43 %, [27%–55 %]). ConclusionsThe pattern of CVDs mortality attributable to metabolic risk factors in this study is not the same as similar studies in other parts of the world and previous studies in Iran. It is imperative that CVDs risk factors be specifically evaluated and addressed in various populations due to variety in geographical and temporal patterns in contribution of metabolic risk factors to CVD mortality.

Preconceptional maternal hyperandrogenism and metabolic syndrome risk in male offspring: a long-term population-based study.

There is limited research on the effects of maternal hyperandrogenism (MHA) on cardiometabolic risk factors in male offspring. We aimed to compare the risk of metabolic syndrome (MetS) in sons of women with preconceptional hyperandrogenism (HA) to those of non-HA women in later life. Using data obtained from the Tehran Lipid and Glucose Cohort Study, with an average of 20years follow-up, 1913 sons were divided into two groups based on their MHA status, sons with MHA (n = 523) and sons without MHA (controls n = 1390). The study groups were monitored from the baseline until either the incidence of events, censoring, or the end of the study period, depending on which occurred first. Age-scaled unadjusted and adjusted Cox regression models were utilized to evaluate the hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between MHA and MetS in their sons. There was no significant association between MHA and HR of MetS in sons with MHA compared to controls, even after adjustment (unadjusted HR (95% CI) 0.94 (0.80-1.11), P = 0.5) and (adjusted HR (95% CI) 0.98 (0.81-1.18),P = 0.8). Sons with MHA showed a HR of 1.35 for developing high fasting blood sugar compared to controls (unadjusted HR (95% CI) 1.35 (1.01-1.81), P = 0.04), however, after adjustment this association did not remain significant (adjusted HR (95% CI) 1.25 (0.90-1.74), P = 0.1). The results suggest that preconceptional MHA doesn't increase the risk of developing MetS in sons in later life. According to this suggestion, preconceptional MHA may not have long-term metabolic consequences in male offspring.

Metabolic health's central role in chronic kidney disease progression: a 20-year study of obesity-metabolic phenotype transitions

This study investigates the risk of chronic kidney disease (CKD) across four metabolic phenotypes: Metabolically Healthy-No Obesity (MH-NO), Metabolically Unhealthy-No obesity (MU-NO), Metabolically Healthy-Obesity (MH-O), and Metabolically Unhealthy-Obesity (MU-O). Data from the Tehran Lipid and Glucose Study, collected from 1999 to 2020, were used to categorize participants based on a BMI ≥ 30 kg/m2 and metabolic health status, defined by the presence of three or four of the following components: high blood pressure, elevated triglycerides, low high-density lipoprotein, and high fasting blood sugar. CKD, characterized by a glomerular filtration rate < 60 ml/min/1.72 m2. The hazard ratio (HR) of CKD risk was evaluated using Cox proportional hazard models. The study included 8731 participants, with an average age of 39.93 years, and identified 734 incidents of CKD. After adjusting for covariates, the MU-O group demonstrated the highest risk of CKD progression (HR 1.42–1.87), followed by the MU-NO group (HR 1.33–1.67), and the MH-O group (HR 1.18–1.54). Persistent MU-NO and MU-O posed the highest CKD risk compared to transitional states, highlighting the significance of exposure during early adulthood. These findings emphasize the independent contributions of excess weight and metabolic health, along with its components, to CKD risk. Therefore, preventive strategies should prioritize interventions during early-adulthood.

Which risk factor best predicts coronary artery disease using artificial neural network method?

BackgroundCoronary artery disease (CAD) is recognized as the leading cause of death worldwide. This study analyses CAD risk factors using an artificial neural network (ANN) to predict CAD.MethodsThe research data were obtained from a multi-center study, namely the Iran-premature coronary artery disease (I-PAD). The current study used the medical records of 415 patients with CAD hospitalized in Razi Hospital, Birjand, Iran, between May 2016 and June 2019. A total of 43 variables that affect CAD were selected, and the relevant data was extracted. Once the data were cleaned and normalized, they were imported into SPSS (V26) for analysis. The present study used the ANN technique.ResultsThe study revealed that 48% of the study population had a history of CAD, including 9.4% with premature CAD and 38.8% with CAD. The variables of age, sex, occupation, smoking, opium use, pesticide exposure, anxiety, sexual activity, and high fasting blood sugar were found to be significantly different among the three groups of CAD, premature CAD, and non-CAD individuals. The neural network achieved success with five hidden fitted layers and an accuracy of 81% in non-CAD diagnosis, 79% in premature diagnosis, and 78% in CAD diagnosis. Anxiety, acceptance, eduction and gender were the four most important factors in the ANN model.ConclusionsThe current study shows that anxiety is a high-prevalence risk factor for CAD in the hospitalized population. There is a need to implement measures to increase awareness about the psychological factors that can be managed in individuals at high risk for future CAD.

Addiction habits in a rural cohort of injection drug users and effects on serum lipid profile: Analysis of a repeated measures study from an eastern state of India.

Background Injecting drug use (IDU) is associated with several cardiometabolic risks. We aimed to measure the independent effects of IDU behaviour and related factors on serum lipid profile among people who inject drugs (PWIDs). Methods We did a longitudinal study with six follow-up measurements at an interval of 2 months among 104 PWIDs from 11 selected hotspots under two blocks in West Bengal, India. Generalized estimating equations with robust standard errors analysed the effect of addiction habits on lipid profile parameters. Results The mean (SD) age of the participants was 27.6 (5.24) years, 36.5% married and 44.3% were unemployed at the time of recruitment. At the baseline, the mean (SD) body mass index (BMI) and fasting blood sugar (FBS) were 20.0 (1.82) kg/m2 and 112.0 (15.90) mg/dl, respectively. The mean duration of drug use was 2.5 (1.20) years. While 62.5% had normal triglyceride (TG), 14.4% had high total cholesterol (TC) and 69.2% had dyslipidaemia at the baseline. Adjusted for age, BMI, FBS and other addiction-related variables, models showed that longer duration of drug use (>3 years) resulted in higher levels of TG, higher TC-to-high-density lipoprotein ratio and dyslipidaemia. Tobacco use and high FBS level were also risk factors for dyslipidaemia. Conclusions Higher duration of IDU, tobacco use and higher FBS were associated with deranged lipid profile among PWIDs.

Metabolic syndrome and the risk of coronary artery disease among the physicians

Background: Physicians, due to their work and lifestyle patterns, can be at risk for metabolic syndrome (MetS). We aimed to evaluate the prevalence of MetS among physicians and its association with coronary artery disease (CAD). Materials and methods: This retrospective cross-sectional study collected data on Thai physicians who had medical examination including cardiovascular testing from 14 February to 31 October 2022, in our hospital. Inclusion criteria were those who had complete data for MetS diagnosis per Adult Treatment Panel III criteria and CAD diagnosis information. Outcome measures were prevalence of MetS and CAD prevalence in affected vs non-affected physicians. Results: Of 1194 physicians, the median age was 48.0±10.29 years. The authors found 4.5% were obese, 30.6% having high blood pressure, 26.6% high fasting blood sugar (FBS), 12.7% high triglycerides, and 13.7% low high-density lipoprotein (HDL). The prevalence of MetS was 8.9%. Increasing age, systolic blood pressure, body mass index, FBS, triglyceride, and decreasing HDL were identified as independent risk factors of MetS. The prevalence of CAD was 11.4%: 47.2% vs. 7.9% among the physicians with and without MetS respectively (odds ratio 10.41: 95% CI, 6.70–16.16%, P&lt;0.001). Conclusion: The prevalence of MetS among Thai physicians in this study was 8.9%. Those physicians with MetS were associated with a 10-fold higher risk of CAD. Physicians who were at risk of developing MetS should consider modifying their health habits and being vigilant about the potential consequences of CAD. Further prospective cohort studies are warranted to validate these results.

Prevalence of Metabolic Syndrome amongst Undergraduate Medical Students: A Cross-sectional Study

Introduction: Metabolic Syndrome (MS) is a cluster of interconnected metabolic abnormalities involving glucose metabolism, lipid metabolism, elevated Blood Pressure (BP), and central obesity. It increases the risk of type-2 diabetes, cardiovascular disease, and mortality. Medical students during the Coronavirus Disease-2019 (COVID-19) pandemic were forced to remain indoors with minimal physical activity, improper sleep patterns, and long sessions of online classes. All these factors may cause various metabolic disturbances, posing them at risk for developing MS. Aim: To study the prevalence of MS among undergraduate (UG) medical students and assess the predictive risk factors for MS among them. Materials and Methods: The present cross-sectional study was conducted in the Department of Biochemistry, ESIC Medical College and Hospital, Hyderabad, Telangana, India, from June 2022 to August 2022. A total of 170 UG medical students, aged between 18-24 years of both genders, were included in the study. The International Diabetes Federation (IDF) criteria were used for diagnosing MS. Data for anthropometric measurements (height, weight, Waist Circumference (WC), Body Mass Index (BMI), and BP were collected. Blood samples were collected to analyse Fasting Blood Sugar (FBS), Triglyceride (TG), and High-Density Lipoproteins (HDL). Unpaired t-test was used to compare two groups. Pearson’s correlation coefficient was used to assess the association between different components of MS and anthropometric parameters. Results: Amongst the total sample of 170 undergraduate medical students, the prevalence of MS was 7.6% (n=13) of the sample population, almost equivocal among males 7 (9.7%) and females 6 (6.1%). Increased WC was seen in 75 (44.1%), raised Systolic BP was found in 24 (14.1%), raised Diastolic BP was found in 15 (20.8%), raised TG was found in 10 (5.9%), decreased HDL was found in 43 (25.3%), and increased FBS was found in 17 (10%) students. Regression analysis showed that high BMI, WC, and impaired FBS were the most critical predictive risk factors of MS. Conclusion: In the present study, the prevalence of MS in medical UG students was found to be 7.6%, and factors such as BMI, WC, and impaired FBS can be used to predict the risk of MS in them.

Pancreatic cancer mortality trends attributable to high fasting blood sugar over the period 1990-2019 and projections up to 2040.

Pancreatic cancer (PC) is a prevalent malignancy within the digestive system, with diabetes recognized as one of its well-established risk factors. Data on PC mortality attributed to high fasting blood sugar were retrieved from the Global Burden of Disease (GBD) study 2019 online database. To assess the temporal trends of PC burden attributable to high fasting plasma glucose (HFPG), estimated annual percentage changes (EAPCs) for age-standardized death rates (ASDRs) between 1990 and 2019 were determined using a generalized linear model. Furthermore, a Bayesian age-period-cohort (BAPC) model using the integrated nested Laplacian approximation algorithm was employed to project the disease burden over the next 20 years. Globally, the crude death number of PC attributable to HFPG almost tripled (from 13,065.7 in 1990 to 48,358.5 in 2019) from 1990 to 2019, and the ASDR increased from 0.36/100,000 to 0.61/100,000 with an EAPC of 2.04 (95% CI 1.91-2.16). The population aged ≥70 years accounted for nearly 60% of total deaths in 2019 and experienced a more significant increase, with the death number increasing approximately fourfold and the ASDR increasing annually by 2.65%. In regions with different sociodemographic indexes (SDIs), the highest disease burden was observed in the high-SDI region, whereas more pronounced increasing trends in ASDR were observed in the low to middle-SDI, low-SDI, and middle-SDI regions. Additionally, a significantly negative association was found between EAPCs and ASDRs of PC attributable to HFPG from 1990 to 2019. Moreover, the BAPC model predicts that ASDR and age-standardized disability-adjusted life-years (DALYs) rate for PC attributed to HFPG was projected to increase obviously for men and women from 2019 to 2040. The burden of PC attributed to HFPG has increased globally over the past three decades, with the elderly population and high-SDI regions carrying a relatively greater disease burden, but more adverse trends observed in low-SDI areas. Furthermore, the burden is projected to continue increasing over the next 20 years. Hence, more tailored prevention methodologies should be established to mitigate this increasing trend.

Electrocardiographic T Wave Abnormality and Associated Factors Among Type 2 Diabetic Patients: Multicenter Institution-Based Cross-Sectional Study

Introduction: T wave abnormalities are usually found on ECG and show abnormal ventricular repolarization. The presence and magnitude of T wave abnormality are often associated with cardiovascular disease and mortality in diabetes. However, there is no study about the electrocardiographic T wave abnormalities among type 2 DM patients in Ethiopia. Therefore, this study determined the overall prevalence and the associated factors of T wave abnormalities among people living with T2DM in Amhara National Regional State referral hospitals, Ethiopia. Methods: A multicenter institution-based cross-sectional study was conducted from 01 January to 30 March 2022. Simple random sampling and systematic sampling techniques were employed to select the referral hospitals and study participants, respectively. A digital electrocardiograph was used to measure the T wave patterns, and an interviewer-administered questionnaire to collect sociodemographic and some clinical factors. Epi-data version-4.6 and Stata-14 were used for data entry and statistical analysis, respectively. The descriptive statistics were presented with tables and graphs. A binary logistic regression model was fitted to identify associated factors of T wave abnormality. In the final model, statistical significance was decided at p&lt;0.05, and the strength of association was indicated using an adjusted odds ratio with 95% CI. Results: Two hundred and fifty-eight participants (response rate=99.6%) were included in the analysis. The prevalence of overall T wave abnormality was 21.7% (95% CI: 19, 29.2%). Higher monthly income (&gt;90$) (AOR=0.16 [0.06, 0.46]), hypertension 5.55 (AOR=5.55 [2.12, 14.49]), fasting blood sugar of &gt;130mg/dl 6.38 (AOR=6.38 [1.94, 20.94]), were statistically significant factors of T wave abnormality. Conclusions: Higher income, hypertension, and higher fasting blood sugar were significantly associated with ECG abnormality. The findings of this study suggest the need to institute routine ECG screening for all T2DM patients to reduce silent myocardial ischemia and further complications.

The Prevalence and Risk Factors of Metabolic Syndrome in Patients with Hemodialysis.

Metabolic syndrome is a common disorder that puts patients at high risk for cardiovascular disease (CVD) and mortality. To our knowledge, there is no published study in Pub Med which evaluated both lifestyle and metabolic syndrome in hemodialysis patients. This study aimed to estimate the prevalence of metabolic syndrome and investigate the potential risk factors in hemodialysis patients. This was a cross-sectional study conducted on 204 patients enrolled conveniently. National Cholesterol Education Program Adult Treatment Panel III criteria considered for Metabolic Syndrome. Demographics, lifestyle, and disease characteristics were gathered. The relationship between metabolic syndrome and its severity with independent variables was investigated through multivariable multivariate logistic and linear regressions. The mean (SD) age was 55 (14) years and 42% were women. 42.6% had metabolic syndrome. Low high-density lipoprotein (HDL), high fasting blood sugar, high blood pressure (BP), increased waist circumference (WC), and high triglyceride were observed in decreasing order of frequency in 54.4%, 44.1%, 38.7%, 33.3% 28.9% of patients, respectively. The logistic regression model revealed significant associations between metabolic syndrome and physical activity (OR=0.85, 95% CI : 0.74-0.97), mood (OR=1.04, 95% CI : 1.002-1.078), age (OR=1.023, 95% CI : 1.001-1.046), and missed work (OR=0.86, 95% CI : 0.76-0.97). The linear regression model revealed significant associations between metabolic syndrome severity score and physical activity (B=-0.12, 95% CI : -0.21-0.02) and sleep quality (B=0.017, 95% CI : 0.001-0.033). Poorer sleep quality, lower physical activity, lower mood status, and older age were associated with higher odds of metabolic syndrome/metabolic syndrome severity score in hemodialysis patients.

Lipoxygenase-12 Levels and Biochemical Parameters in Iraqi Patients With Type 2 Diabetes With and Without Benign Prostatic Hyperplasia.

Background Diabetes mellitus (DM) is a chronic metabolic disorder characterized by hyperglycemia caused by a defect in the secretion or action or both of insulin. It has a complex pathogenesis. Benign prostatic hyperplasia (BPH) refers to an increase in the size of the prostate; it is one of the most common health problems in men that manifests with age. Lipoxygenase-12 (Lipox-12) is one of the enzymes in the Lipox 12/15 family, which plays a major role in catalyzing a variety of polyunsaturated fatty acids (PUFAs) that are capable of producing different metabolites. Lipox-12 has a significant effect on arachidonic acid metabolism, with PUFA, a pro- and anti-inflammatory mediator, as one of the enzyme isoforms. It also plays a major role in modulating inflammation at multiple checkpoints as diabetes progresses. The present study aims to measure Lipox-12 levels in patients with DM type 2 (DM2) and patients with DM2 + BPH. Methodology This study was conducted in Musayyib General Hospital, south of Baghdad, where a clinical examination was performed on 50 samples from controls (healthy subjects), 50 patients with DM2, and 50 patients with DM2 + BPH after taking each patient's history. The examinations performed included fasting blood sugar (FBS), hemoglobin A1c (HbA1c), prostate-specific antigen (PSA), triglycerides (TG), cholesterol (Chol), and Lipox-12. Results The results showed that both the DM2 and DM2 + BPH groups had higher FBS, HbA1c, TG, and Chol levels than healthy subjects; in contrast, Lipox-12 levels were the lowest in the DM2 group (sensitivity = 79% and specificity = 81%) but higher in the DM2 + BPH group (sensitivity = 80%; specificity = 82%) compared to the control group. Conclusions Lipox-12 had a high sensitivity and specificity in the DM2 and DM2 + BPH groups compared to the control group, and in both cases, it was used to monitor and diagnose DM2 and BPH.

A Clinical Data Warehouse Analysis of Risk Factors for Inpatient Falls in a Tertiary Hospital: A Case-Control Study.

The aims of the study are to identify fall risk factors and to establish automatic risk assessments based on clinical data from electronic medical records of hospitalized patients. In this retrospective case-control study, we reviewed the electronic medical records of 1454 patients (292 and 1162 patients in the fall and nonfall groups, respectively) who were hospitalized at a 1800-bed tertiary hospital in South Korea between January 1, 2017, and December 31, 2017. Patients' age, sex, and clinical department were matched, and all laboratory reports, clinical flow sheets, and nursing initial assessment records of case from the Clinical Data Warehouse system were analyzed. The collated patient records data were analyzed using SAS (version 9.4) and logistic regression. Overall, 65 risk factors, including low body mass index, low blood pressure, low albumin levels, high fasting blood sugar level, low red blood cell counts, and high potassium levels, that significantly increased the incidence of falls were identified. Falls were also associated with 21 items from the clinical flow sheet and nursing initial assessment, including frequent bowel movements, 24-hour urine tests, imaging tests, biopsy, pain, intravenous tubes, unclear consciousness, and taking medication. Fall risk factors identified via the Clinical Data Warehouse can be used to build an automated detection system to detect fall risk in electronic medical records, enabling nurses to assess the fall risk in addition to using the fall scale.

Correlation between Hypothyroidism and Type 2 Diabetes Mellitus

Introduction: Hypothyroidism is the most common thyroid disorder in India with prevalence of 10.95% (1). Type 2 Diabetes (T2DM) is the most common endocrine disorder with prevalence of 8.9% (2) in India. Studies showed that there is prevalence of T2DM in hypothyroidism. We consider FBS (Fasting blood sugar) and HbA1c (Glycated hemoglobin) to diagnose diabetes in our study as per to American diabetes association. The aim is to assess the incidence of T2DM in biochemically proven hypothyroidism. Materials and methods: 50 patients of either sex between the ages 18-60 years, who are biochemically proven newly diagnosed case of hypothyroidism, are taken for the study. A detailed clinical history of the patient including history of presenting complaints, past history and other relevant history is taken. A detailed general examination, systemic examination and ENT examination is done. Patients underwent screening for T2DM using FBS and HbA1C as per American diabetes association. This is used to calculate the incidence of T2DM in biochemically proven hypothyroidism. Results: The number of cases diagnosed as diabetic is, 13 (26.0%) cases with high FBS (fasting blood sugar) and 16 (32.0%) cases with uncontrolled HbA1C values. Showing a total of 16 cases among the 50 cases of hypothyroidism found as newly diagnosed diabetes, showing a prevalence of 32% among the study group. Conclusion: Our study agrees with the various studies showing a similar relationship between hypothyroidism and T2DM. As such we would also like to propose that in cases of hypothyroidism, T2DM to be evaluated for as well for early detection and management.

Efficacy of Polyherbal Formulation (&lt;i&gt;Phalatrikadi Vati&lt;/i&gt;) in the Management of Type 2 Diabetes Mellitus through Metabolic Correction – A Clinical Study

Background: Diabetes mellitus is a prevalent metabolic disorder worldwide; its incidents have grown notably in recent years. Over the last 50 years, lifestyle changes have led to a dramatic increase in the prevalence of type 2 diabetes around the world. India has been projected as the diabetic capital of the world. Diabetes and its complications pose a major threat to future public health resources throughout the world and are the major cause of blindness, kidney failure, heart attacks, stroke, and lower limb amputation. In the southern part of India, the mortality rate due to diabetes mellitus is in fifth rank amongst the ten vital causes of death. Despite recent advances in knowledge, preventing and controlling diabetes remain a major challenge. So the present study has focused on the disease pathogenesis and its regulation through Polyherbal formulation (Phalatrikadi Vati). Objectives: To determine the efficacy of Polyherbal formulation in reducing the subjective complaints in Type 2 Diabetes Mellitus by metabolic corrections and thereby controlling the blood glucose level in the body. Methods: A single arm open labeled trial with 1 month in duration. Participants: 25 patients of Diabetes Mellitus Type 2 with diagnosed, high fasting blood sugar and postprandial blood sugar levels. 500mg tablet was given in twice a day after food. Results: A total of 30 patients enrolled in the study and 25 patients completed the treatment. Significant relief of 68% in polyuria, 56% in urine turbidity, 84% in polyphagia, and 76% in polydipsia seen. There was a highly significant reduction in FBS with a mean difference of 31.84 mg and PPBS with a mean difference of 63.92 mg. Conclusion: The polyherbal formulation is a safe intervention and can be expected to reduce the symptoms of Type 2 Diabetes Mellitus and blood sugar levels. Future studies with larger sample sizes, longer duration of intervention and follow up needed for more accurate and reliable results.

Associated factors with hypertension, known poorly controlled hypertension, and newly diagnosed hypertension among people aged 18-70 in Senegal.

In this study, we aimed to determine the factors associated with hypertension, known poorly controlled hypertension, and newly diagnosed hypertension in 2015 to improve the prevention of this pathology in our country. This was a secondary analysis of the national WHO STEPwise survey database. It had a quantitative, descriptive, and analytical aim. The sampling was done in stratification in three stages of sampling. Statistical analysis was performed using Rstudio 4.0.2 software. It was a descriptive, bivariate, and multivariate analysis using binomial logistic regression for explanatory purposes. The risk factors for being hypertensive among 18-70- year-olds in Senegal in 2015 were: having taken their blood pressure at least once in their life; having taken their cholesterol levels at least once in their life; having received advice to reduce salt consumption; having received advice on how to reduce the amount of sugar; having a lean body mass index; being overweight; being obese III; and being between 35-39 and 65-70 years old. The protective factors are: checking the salt content indicated on the labels; and consuming salt-rich dishes "often" compared to "never". The risk factors for being newly diagnosed with hypertension among 18-70-year-olds in Senegal in 2015 were: having a history of stroke; having a resting heart rate greater than 80 beats per minute; consuming palm oil; and having high fasting blood sugar. The protective factors are: having a high average number of meals eaten per week not prepared at home; checking the salt content indicated on the label; and being of female sex. The risk factors for being known to have poorly controlled hypertension among 18-70- year-olds in Senegal in 2015 were: judging their reduction in salt consumption as "very important"; and having received advice to reduce their salt consumption. The protective factors are: performing physical activity only when traveling; and limiting the consumption of salty meals. Senegalese family cooking exposes to hypertension, small actions limiting salt consumption strongly protect against hypertension, and simple physical activity during travel strongly protects against hypertension, but the health system is very little proactive in the primordial and primary prevention of hypertension.