ABSTRACT
Ischemic heart disease and stroke are the leading causes of death worldwide. Herein we review the burden, epidemiology, and risk factors for atherosclerotic cardiovascular disease (ASCVD). The focus of this review is on the current state of ASCVD in Canada, however, the findings regarding epidemiological trends are likely to be reflective of global trends, particularly in high-income countries, and the discussion regarding risk factors and lipid lowering is universally applicable. In Canada, the burden of death from ASCVD is second only to cancer deaths. There are major differences in disease burden related to sex, geography, and socioeconomic status. The major risk factors for ASCVD have been identified, although new and emerging risk factors are an active area of research. Recent developments such as polygenic risk scores provide potential to identify individuals at risk for ASCVD earlier in life and institute preventative measures. Dyslipidemia, and in particular elevated concentrations of low-density lipoprotein cholesterol and apolipoprotein B are a major cause of ASCVD. Therapies to lower low-density lipoprotein/apolipoprotein B levels are key components to treating and preventing ASCVD. Addressing the causal risk factors for ASCVD in a manner that comprehensively considers the clinical, social, and economic implications of prevention strategies will be essential to reduce the burden of ASCVD and improve outcomes for patients.
Subject(s)
Cardiovascular Diseases , Dyslipidemias , Humans , Dyslipidemias/epidemiology , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Risk Factors , Canada/epidemiology , Hypolipidemic Agents/therapeutic useABSTRACT
INTRODUCTION: As the fetus relies on maternal thyroid hormones in early pregnancy, maternal hypothyroidism plays an important role in fetal development. However, the association between maternal hypothyroidism and metabolic disease in offspring is unclear. OBJECTIVE: To examine the association between maternal hypothyroidism in pregnancy and metabolic outcomes (obesity, hypertension, type 2 diabetes mellitus, and dyslipidemia) in children < 18 years. METHODS: We systematically searched 5 databases from inception to May 2023. Eligible studies included cohort, case-control, and randomized controlled trials involving children born to mothers with or without hypothyroidism in pregnancy. Data were pooled across studies using random-effects models for outcomes reported in at least three studies. Quality assessment was performed using the ROBINS-E tool for observational studies and the Cochrane Risk of Bias tool for trials. RESULTS: The search identified 3221 articles, of which 7 studies were included (1 trial, 6 observational). All studies were conducted outside of North America and ranged in size from 250 to > 1 million children. The follow-up time ranged from 6 to 20 years. Included studies support an increased risk of hypertension and glucose dysregulation in offspring exposed to maternal hypothyroidism (hypertension: OR 1.08, 95% CI 0.75, 1.57 and HR 1.81, 95% CI 1.21, 2.69; diabetes: RR 2.7, 95% CI 0.7, 10). In the pooled analysis, maternal hypothyroidism was not associated with obesity in offspring (OR 1.04, 95% CI 0.64, 1.70). CONCLUSION: This study found inconsistent evidence on the association between maternal hypothyroidism in pregnancy and metabolic outcomes in offspring, though associations with hypertension and glucose dysregulation are possible.
Subject(s)
Hypothyroidism , Pregnancy Complications , Prenatal Exposure Delayed Effects , Humans , Pregnancy , Hypothyroidism/complications , Female , Child , Prenatal Exposure Delayed Effects/etiology , Diabetes Mellitus, Type 2/etiology , Hypertension/etiology , Dyslipidemias/epidemiology , AdolescentABSTRACT
OBJECTIVE: To examine the association between elevated blood pressure (BP) in the early third trimester and cardiometabolic health 10-14 years after delivery. METHODS: This is a secondary analysis from the prospective HAPO FUS (Hyperglycemia and Adverse Pregnancy Outcome Follow-Up Study). Blood pressure in the early third trimester was categorized per American College of Cardiology/American Heart Association thresholds for: normal BP below 120/80 mm Hg (reference), elevated BP 120-129/below 80 mm Hg, stage 1 hypertension 130-139/80-89 mm Hg, and stage 2 hypertension 140/90 mm Hg or higher. Cardiometabolic outcomes assessed 10-14 years after the index pregnancy were type 2 diabetes mellitus and measures of dyslipidemia, including low-density lipoprotein (LDL) cholesterol 130 mg/dL or higher, total cholesterol 200 mg/dL or higher, high-density lipoprotein (HDL) cholesterol 40 mg/dL or lower, and triglycerides 200 mg/dL or higher. Adjusted analysis was performed with the following covariates: study field center, follow-up duration, age, body mass index (BMI), height, family history of hypertension and diabetes, smoking and alcohol use, parity, and oral glucose tolerance test glucose z score. RESULTS: Among 4,692 pregnant individuals at a median gestational age of 27.9 weeks (interquartile range 26.6-28.9 weeks), 8.5% (n=399) had elevated BP, 14.9% (n=701) had stage 1 hypertension, and 6.4% (n=302) had stage 2 hypertension. At a median follow-up of 11.6 years, among individuals with elevated BP, there was a higher frequency of diabetes (elevated BP: adjusted relative risk [aRR] 1.88, 95% CI, 1.06-3.35; stage 1 hypertension: aRR 2.58, 95% CI, 1.62-4.10; stage 2 hypertension: aRR 2.83, 95% CI, 1.65-4.95) compared with those with normal BP. Among individuals with elevated BP, there was a higher frequency of elevated LDL cholesterol (elevated BP: aRR 1.27, 95% CI, 1.03-1.57; stage 1 hypertension: aRR 1.22, 95% CI, 1.02-1.45, and stage 2 hypertension: aRR 1.38, 95% CI, 1.10-1.74), elevated total cholesterol (elevated BP: aRR 1.27, 95% CI, 1.07-1.52; stage 1 hypertension: aRR 1.16, 95% CI, 1.00-1.35; stage 2 hypertension: aRR 1.41 95% CI, 1.16-1.71), and elevated triglycerides (elevated BP: aRR 2.24, 95% CI, 1.42-3.53; stage 1 hypertension: aRR 2.15, 95% CI, 1.46-3.17; stage 2 hypertension: aRR 3.24, 95% CI, 2.05-5.11) but not of low HDL cholesterol. CONCLUSION: The frequency of adverse cardiometabolic outcomes at 10-14 years after delivery was progressively higher among pregnant individuals with BP greater than 120/80 in the early third trimester.
Subject(s)
Diabetes Mellitus, Type 2 , Humans , Female , Pregnancy , Adult , Prospective Studies , Pregnancy Trimester, Third , Hypertension, Pregnancy-Induced/epidemiology , Follow-Up Studies , Dyslipidemias/epidemiology , Hypertension/epidemiology , Blood PressureABSTRACT
OBJECTIVE: This study aims to identify the association between adherence to healthy eating, using the Lebanese Mediterranean Diet Scale (LMDS), and cardiovascular risk factors in the Lebanese population. MATERIALS AND METHODS: A cross-sectional study using a multistage cluster sample was conducted in Lebanon. Sociodemographic characteristics were collected through structured interviews and self-administered questionnaires. The LMDS assessed dietary habits. The associations between diabetes, dyslipidemia, and cardiovascular disease were investigated using stratification analysis. RESULTS: The study included 2048 people (mean age: 41.54 ± 17.09 years). Higher adherence to the Mediterranean diet was associated with older age (Beta = 0.175, p < 0.001), being female (Beta = 0.085, p = 0.001), being married (Beta = 0.054, p = 0.047), participating in regular physical activity (Beta = 0.142, p < 0.001), and having cardiovascular disease (Beta = 0.115, p < 0.001) and diabetes (Beta = 0.055, p = 0.043). Adherence was, however, negatively associated with being a smoker (Beta = -0.083, p = 0.002), a previous smoker (Beta = -0.059, p = 0.026), and having higher distress levels (Beta = -0.079, p = 0.002). Stratification analysis by diabetes, dyslipidemia, and cardiovascular disease (CVD) consistently demonstrated these associations. CONCLUSIONS: These findings suggest that demographic and health factors influence the Lebanese population's adherence to the Mediterranean diet. Older age, female gender, married status, physical activity, CVD, and diabetes were all found to be associated with adherence to the Mediterranean diet in the Lebanese population. In contrast, smoking and distress were inversely associated with it.
Subject(s)
Cardiovascular Diseases , Diet, Mediterranean , Heart Disease Risk Factors , Humans , Diet, Mediterranean/statistics & numerical data , Lebanon/epidemiology , Female , Male , Cross-Sectional Studies , Adult , Middle Aged , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Patient Compliance/statistics & numerical data , Exercise , Aged , Feeding Behavior , Young Adult , Risk Factors , Surveys and Questionnaires , Diabetes Mellitus/epidemiology , Dyslipidemias/epidemiologyABSTRACT
BACKGROUND: Cardiovascular diseases are the leading cause of death worldwide. Obesity and atherosclerosis are considered risk factors for this pathology. There are multiple methods to evaluate obesity, in the same way as there are different formulas to determine atherogenic risk. Since both pathologies are closely related, the objective of our work was to evaluate whether the ECORE-BF scale is capable of predicting atherogenic risk. METHODS: Observational, descriptive, and cross-sectional study in which 386,924 workers from several autonomous communities in Spain participated. The association between the ECORE-BF scale and five atherogenic risk indices was evaluated. The relationship between variables was assessed using the chi-square test and Student's t test in independent samples. Multivariate analysis was performed with the multinomial logistic regression test, calculating the odds ratio and 95% confidence intervals, with the Hosmer-Lemeshow goodness-of-fit test. ROC curves established the cut-off points for moderate and high vascular age and determined the Youden index. RESULTS: The mean values of the ECORE-BF scale were higher in individuals with atherogenic dyslipidemia and the lipid triad, as well as in those with elevated values of the three atherogenic indices studied, with p <0.001 in all cases. As atherogenic risk increased across the five evaluated scales, the prevalence of obesity also significantly increased, with p <0.001 in all cases. In the ROC curve analysis, the AUCs for atherogenic dyslipidemia and the lipid triad were above 0.75, indicating a good association between these scales and the ECORE-BF. Although the Youden indices were not exceedingly high, they were around 0.5. CONCLUSIONS: There is a good association between atherogenic risk scales, atherogenic dyslipidemia, and lipid triad, and the ECORE-BF scale. The ECORE-BF scale can be a useful and quick tool to evaluate atherogenic risk in primary care and occupational medicine consultations without the need for blood tests.
Subject(s)
Atherosclerosis , Obesity , Humans , Spain/epidemiology , Atherosclerosis/epidemiology , Cross-Sectional Studies , Female , Male , Middle Aged , Adult , Obesity/epidemiology , Risk Factors , Risk Assessment , Dyslipidemias/epidemiology , Dyslipidemias/blood , Prevalence , ROC CurveABSTRACT
PURPOSE: Hypertension (HT), dyslipidemia (DL), and diabetes mellitus (DM) are major risk factors for cardiovascular diseases. Despite the wide availability of medications to reduce this risk, poor adherence to medications remains an issue. The aim of this study is to evaluate medication adherence of prevalent users in these disease medications (HT, DL, DM) using claims data. Factors associated with non-adherence were also examined. METHODS: Of 7538 participants of the Tsuruoka Metabolomics Cohort Study, 3693 (HT: 2702, DL: 2112, DM: 661) were identified as prevalent users of these disease medications. Information on lifestyle was collected through a questionnaire. Adherence was assessed by a proportion of days covered (PDC) and participants with PDC ≥0.8 were defined as adherent. Predictors of non-adherence were determined by performing multivariable logistic regression. RESULTS: Medication adherence differed by treatment status. Among those without comorbidities, those with HT-only showed the highest adherence (90.2%), followed by those with DM-only (81.2%) and those with DL-only (80.8%). Factors associated with non-adherence in each medication group were skipping breakfast and poor understanding of medications among those with HT medications, females, having comorbidities, having a history of heart disease, and drinking habit among those with DL medications, and good sleep quality and skipping breakfast among those with DM medications. CONCLUSION: While participants showed high medication adherence, differences were observed across medication groups. The identified predictors of non-adherence could help target those in need of adherence support.
Subject(s)
Diabetes Mellitus , Dyslipidemias , Hypertension , Medication Adherence , Humans , Medication Adherence/statistics & numerical data , Female , Male , Dyslipidemias/drug therapy , Dyslipidemias/epidemiology , Japan/epidemiology , Middle Aged , Hypertension/drug therapy , Hypertension/epidemiology , Diabetes Mellitus/drug therapy , Diabetes Mellitus/epidemiology , Cohort Studies , Aged , Adult , Antihypertensive Agents/therapeutic use , Prevalence , Risk Factors , Insurance, Health/statistics & numerical data , Insurance Claim ReviewABSTRACT
This study aimed to evaluate the superiority of anthropometric indices compared to others for predicting ischemic heart disease (IHD) or cardiometabolic risk factors. This study was a cross-sectional analysis of the Pars Cohort Study data. In total, 9229 Valashahr inhabitants aged 40-75 were included in the analysis. The area under the receiver operating characteristic curve (AUC) analyses was used to compare the predictive accuracy of four anthropometric measures, including body mass index, waist to height ratio (WHtR), waist to hip ratio (WHR), and waist circumference (WC). IHD prevalence was 10.4% in our sample. The prevalence of diabetes mellitus (DM), hypertension, dyslipidemia, and metabolic syndrome was 12.7%, 29.2%, 58.4%, and 22.3%, respectively. All anthropometric indices had poor to good accuracy in predicting IHD risk factors, with AUCs ranging between 0.580 and 0.818. WHR was the most accurate measure for predicting IHD in both genders. All indexes had a better accuracy for predicting DM, dyslipidemia, and metabolic syndrome (MetS) in males than in females. To conclude, anthropometric measures, especially WC and WHtR, are recommended for predicting metabolic syndrome in primary prevention settings. These simple indices could help physicians find those who need further evaluation for MetS.
Subject(s)
Metabolic Syndrome , Myocardial Ischemia , Humans , Male , Female , Myocardial Ischemia/epidemiology , Cross-Sectional Studies , Middle Aged , Iran/epidemiology , Aged , Adult , Metabolic Syndrome/epidemiology , Anthropometry , Waist-Hip Ratio , Waist Circumference , Body Mass Index , Risk Factors , Prevalence , Waist-Height Ratio , Dyslipidemias/epidemiology , ROC Curve , Diabetes Mellitus/epidemiology , Hypertension/epidemiologyABSTRACT
OBJECTIVE: This study aimed to determine which comorbidities were associated with intractable epistaxis requiring electrocauterization or embolization, and to identify the location where intractable epistaxis frequently occurred. METHODS: The patients were divided into two groups: patients with epistaxis successfully controlled in outpatient department (OPD) and those with intractable epistaxis in OPD which was controlled by surgical exploration or arterial embolization (OP/EM). Evaluations of the bleeding locations, related vessels, and patient's comorbidities were conducted. RESULTS: A total of 41 patients from the OP/EM group and 725 patients from the OPD group were enrolled. The following comorbidities showed elevated risks of the intractable epistaxis (p< 0.05) in multivariate analysis; hypertension (OR 1.089, 95% CI 1.049 - 1.132), dyslipidemia (1.132, 1.041 - 1.232), liver cirrhosis (1.272, 1.152 - 1.406), chronic obstructive pulmonary disease (1.234, 1.078 - 1.412) and asthma (1.205, 1.053 - 1.379). Inferior and middle turbinate were equally the most common location of the intractable bleeding. CONCLUSION: In patients with epistaxis requiring hemostatic treatments, comorbidities such as hypertension, dyslipidemia, liver diseases, COPD, and asthma were associated with intractable epistaxis. The main bleeding sites of intractable epistaxis were the middle and inferior turbinate.
Subject(s)
Comorbidity , Dyslipidemias , Embolization, Therapeutic , Epistaxis , Hypertension , Humans , Epistaxis/epidemiology , Epistaxis/therapy , Male , Female , Middle Aged , Aged , Hypertension/epidemiology , Hypertension/complications , Adult , Dyslipidemias/epidemiology , Asthma/epidemiology , Asthma/complications , Liver Cirrhosis/complications , Liver Cirrhosis/epidemiology , Turbinates/surgery , Electrocoagulation , Aged, 80 and over , Multivariate Analysis , Young Adult , Retrospective Studies , AdolescentABSTRACT
Nutrition can play a key role in cardiovascular disease risk reduction, and its risk factors modification. This paper aims to present, compare, and summarize the main dietary concepts for preventing the main cardiovascular disease risk factors - obesity, hypertension, and dyslipidemia. The dietary models and macronutrient intakes were compared between main cardiovascular risk factors prevention recommendations. Dietary recommendations related to selected cardiovascular risk factors share the points, that can be suggested as crucial for overall cardiovascular risk factors reduction. Recommendations suggest limiting saturated fatty acids intake to <10% of total caloric intake in obesity, and <7 % in hypercholesterolemia, along with an increased intake of mono- and polyunsaturated fatty acids. In addition, daily dietary fiber intake should reach a level of 25-40 g. The vegetables and fruits should be consumed at a daily minimum level of 200g (or 4-5 portions) each. Salt intake should not exceed 5g/day. Alcohol should be generally avoided, and moderate intake levels (sex-specific) should not be exceeded. It is also worth noting, that proteins are essential for tissue formation and regeneration. Carbohydrates are the main source of energy, but it is necessary to choose products with a low glycemic index. Dietary antioxidants help combat free radicals and prevent cell damage.
Subject(s)
Cardiovascular Diseases , Heart Disease Risk Factors , Humans , Cardiovascular Diseases/prevention & control , Cardiovascular Diseases/etiology , Cardiovascular Diseases/epidemiology , Obesity/epidemiology , Diet/methods , Dyslipidemias/epidemiology , Hypertension/epidemiology , Hypertension/prevention & control , Risk Factors , Risk Reduction BehaviorABSTRACT
OBJECTIVE: Dyslipidemia is one of the causes of coronary heart disease (CAD), and apolipoprotein E (APOE) gene polymorphism affects lipid levels. However, the relationship between APOE gene polymorphisms and premature CAD (PCAD, male CAD patients with ≤ 55 years old and female with ≤ 65 years old) risk had different results in different studies. The aim of this study was to assess this relationship and to further evaluate the relationship between APOE gene polymorphisms and PCAD risk in the Hakka population. METHODS: This study retrospectively analyzed 301 PCAD patients and 402 age matched controls without CAD. The APOE rs429358 and rs7412 polymorphisms were genotyped by polymerase chain reaction (PCR) -chip technique. The distribution of APOE genotypes and alleles between the case group and the control group was compared. The relationship between APOE genotypes and PCAD risk was obtained by logistic regression analysis. RESULTS: The frequency of the APOE É3/É4 genotype (18.9% vs. 10.2%, p = 0.001) and ε4 allele (11.1% vs. 7.0%, p = 0.007) was higher in the PCAD patients than that in controls, respectively. PCAD patients with É2 allele had higher TG level than those with É3 allele, and controls carried É2 allele had higher HDL-C level and lower LDL-C level than those carried É3 allele. Regression logistic analysis showed that BMI ≥ 24.0 kg/m2 (BMI ≥ 24.0 kg/m2 vs. BMI 18.5-23.9 kg/m2, OR: 1.763, 95% CI: 1.235-2.516, p = 0.002), history of smoking (Yes vs. No, OR: 5.098, 95% CI: 2.910-8.930, p < 0.001), É3/É4 genotype (É3/É4 vs. É3/É3, OR: 2.203, 95% CI: 1.363-3.559, p = 0.001), ε4 allele (ε4 vs. ε3, OR: 2.125, 95% CI: 1.333-3.389, p = 0.002), and TC level (OR: 1.397, 95% CI: 1.023-1.910, p = 0.036) were associated with PCAD. CONCLUSIONS: In summary, BMI ≥ 24.0 kg/m2, history of smoking, APOE É3/É4 genotype, and TC level were independent risk factors for PCAD. It means that young individuals who are overweight, have a history of smoking, and carried APOE É3/É4 genotype had increased risk of PCAD.
Subject(s)
Apolipoprotein E3 , Apolipoprotein E4 , Coronary Artery Disease , Gene Frequency , Genetic Predisposition to Disease , Humans , Male , Coronary Artery Disease/genetics , Female , Middle Aged , Retrospective Studies , Apolipoprotein E3/genetics , Apolipoprotein E4/genetics , Risk Factors , Adult , Phenotype , Risk Assessment , Dyslipidemias/genetics , Dyslipidemias/blood , Dyslipidemias/diagnosis , Dyslipidemias/epidemiology , Polymorphism, Single Nucleotide , Aged , Case-Control Studies , Genotype , Apolipoproteins EABSTRACT
High blood pressure (BP) and dyslipidemia are major risk factors for cardiovascular disease mortality. The systemic immune-inflammation index (SII) has been suggested as a predictive tool to identify those at risk for chronic diseases, however, its use for predicting high BP and dyslipidemia has not been thoroughly investigated. This study aimed to examine the association between SII and high BP as well as lipid markers. Retrospective hospital data from a large cohort (nâ =â 3895) of Saudi adults agedâ ≥18 years were analyzed. Lipid markers (cholesterol, high-density lipoprotein, low-density lipoprotein [LDL]), systolic BP, and diastolic BP measures were extracted. When the sample was divided into quartiles of SII, cholesterol, triglycerides, and LDL were higher in those with a higher SII than in those with a lower SII (Pâ <â .01). After adjusting for potential confounders, higher SII was significantly associated with higher odds of hypertension (odds ratio: 1.12, 95% confidence interval: 1.04-1.21) and elevated LDL (odds ratio: 1.07, 95% CI: 1.02-1.14), but not with elevated cholesterol. Across quartiles of SII, there was a significant trend between higher SII and the odds of hypertension in people with diabetes and those agedâ ≥65 years. The SII could be an economical predictive measure for identifying individuals at risk of hypertension and some aspects of dyslipidemia. Longitudinal studies are needed to confirm this relationship.
Subject(s)
Blood Pressure , Dyslipidemias , Hypertension , Inflammation , Humans , Retrospective Studies , Male , Dyslipidemias/blood , Dyslipidemias/epidemiology , Dyslipidemias/immunology , Female , Middle Aged , Hypertension/epidemiology , Hypertension/blood , Hypertension/immunology , Adult , Inflammation/blood , Inflammation/immunology , Aged , Blood Pressure/physiology , Saudi Arabia/epidemiology , Risk Factors , Biomarkers/blood , Triglycerides/bloodABSTRACT
Objective: To estimate the longitudinal association between serum lipid biomarkers and the development of cardiometabolic multimorbidity (CMM) in middle-aged and old adults (≥45) in China, while examining effect differences among degree of dyslipidemia aggregation and various dyslipidemia combination patterns. Methods: Based on data from the China Health and Retirement Longitudinal Study (2011-2018), logistic regression analysis was used to evaluate the associations of TC, LDL-C, HDL-C, TG (4 forms of dyslipidemias), degree and pattern of dyslipidemia combination with CMM. We also used restricted cubic splines to show the dose-response associations between 4 lipid biomarkers and CMM development. Results: Of the 6 522 participants included, 590 (9.05%) developed CMM. After adjusting for covariates, all 4 forms of dyslipidemias were positively associated with CMM development (high TC: OR=1.33, 95%CI: 1.03-1.71; high LDL-C: OR=1.35, 95%CI: 1.05-1.75; low HDL-C: OR=1.45, 95%CI: 1.19-1.77; high TG: OR=1.50, 95%CI: 1.20-1.88). The U-shaped dose-response relationship between LDL-C and CMM development was observed (P for non-linear =0.022). The odds of CMM increased with the increase of dyslipidemias forms, which was highest in those with ≥3 forms of dyslipidemias (OR=2.02, 95%CI: 1.33-3.06). In various dyslipidemia form combinations, the possibility of CMM development was highest in those with high TC, high LDL-C and low HDL-C (OR=3.54, 95%CI: 1.40-8.67). High TC and high LDL-C were significantly associated with CMM development in people without cardiometabolic diseases. Low HDL-C was positively associated with diabetes and CMM development in participants without cardiometabolic diseases, cardiovascular disease (CVD) followed by diabetes, and diabetes followed by CVD. High TG was positively associated with diabetes and CMM in participants without cardiometabolic diseases, and diabetes followed by CVD. Conclusions: A total of 4 forms of dyslipidemia were all independently associated with CMM development in middle-aged and old adults in China. The dose-response relationship between LDL-C level and CMM development was U-shaped. The aggregation of 4 forms of dyslipidemia were associated with the development of CMM. Low HDL-C and high TG were significantly associated with multiple patterns of cardiometabolic diseases development.
Subject(s)
Biomarkers , Cholesterol, HDL , Dyslipidemias , Multimorbidity , Humans , China/epidemiology , Dyslipidemias/epidemiology , Dyslipidemias/blood , Middle Aged , Aged , Biomarkers/blood , Longitudinal Studies , Cholesterol, HDL/blood , Male , Cholesterol, LDL/blood , Female , Triglycerides/blood , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/blood , Lipids/blood , Risk Factors , Logistic ModelsABSTRACT
Objective: To investigate the prevalence of diabetes in the elderly aged ≥60 years in Liaoning Province from 2017 to 2019 and analyze the impact of blood glucose control on all-cause mortality and cardiovascular disease (CVD) mortality. Methods: A survey was conducted in the elderly aged ≥60 years in Liaoning from 2017 to 2019 to collect the information about the prevalence of diabetes and other chronic diseases in the diabetes patients. The mortality of the enrolled subjects was investigated in September 2023. Cox proportional hazards regression models were used to estimate the association between blood glucose control in the elderly with diabetes and the risks of all-cause mortality and CVD mortality. Results: The crude prevalence of diabetes in the elderly aged ≥60 years was 20.2% (2 014/9 958) in Liaoning from 2017 to 2019, and the standardized prevalence rate was 19.9%. The prevalence rates of hypertension, dyslipidemia, and overweight/obesity in the diabetes patients were 77.0%, 51.7%, and 67.5% respectively. The median follow-up time was 5.5 years, and the all-cause mortality and CVD mortality rates in the diabetes patients were 244.3/10 000 person-years and 142.9/10 000 person-years, respectively. The results of the Cox proportional hazards regression model analysis showed that compared with non-diabetic individuals, diabetes patients had an increased risk of all-cause mortality by 1.68 times [hazard ratio (HR)=1.68, 95%CI: 1.44-1.94] and an increased risk of CVD mortality by 1.56 times (HR=1.56, 95%CI: 1.29-1.89). The differences in risks of all-cause mortality and CVD mortality between the diabetes patients with normal fasting blood glucose and glycated hemoglobin levels and people without diabetes were not significant (all P>0.05). The failure to meet either the FPG or HbA1c target increased the risk of all-cause mortality (all P<0.05). For individuals who failed to meet the HbA1c target, there was an increased risk of CVD mortality (all P<0.05). Conclusions: The comorbidity rate of chronic diseases was higher in the elderly with diabetes than in the elderly without diabetes in Liaoning. Elderly diabetes patients can benefit from good blood glucose control.
Subject(s)
Cardiovascular Diseases , Diabetes Mellitus , Proportional Hazards Models , Humans , Aged , Prevalence , Cardiovascular Diseases/mortality , Cardiovascular Diseases/epidemiology , Diabetes Mellitus/epidemiology , Middle Aged , China/epidemiology , Male , Female , Risk Factors , Blood Glucose/analysis , Hypertension/epidemiology , Aged, 80 and over , Dyslipidemias/epidemiology , Obesity/epidemiology , Obesity/complicationsABSTRACT
PURPOSE: In 2022 hypertensive disease was the second cause of death in Croatia. The crude prevalence of hypertension is increasing and still majority of hypertensive patients did not reach blood pressure and cholesterol goals Low awareness, and small number of treated and controlled patients point on poor adherence and even worse clinical inertia. MATERIALS AND METHODS: Croatian Hypertension League (CHL) has started the permanent public health action Hunting the Silent Killer aiming to increase health literacy. In 2023 we decided to intensify program with two missions - '70/26', and 'Do you know what is your number?' aiming to achieve target values in 70% and in 50% of patients treated for hypertension and dyslipidaemia, respectively, by 2026. For the health care workers, the program will primarily involve digital education, and 'School of Communication in Hypertension'. In the second arm of the program, we will advise patients and general population to visit our educational website with important and useful information on how to improve bad lifestyle, how to proper measure blood pressure, why is it important to sustain in taking drugs etc. In 2026, the CHL will organise field research to assess the success of programs using the same methodology as we used in previous EH-UH studies. CONCLUSION: We will monitor and analyse trends in the management and control of patients treated for hypertension and dyslipidaemia. This will enable us to make an evidence-based conclusion how successful we were in increasing health literacy.
Hypertension is the most compelling cause of death in Croatia with increasing prevalence.Still 50.1% of treated hypertensive patients and more than 70% of patients with dyslipidaemia in Croatia are uncontrolled.Programs 70/26 and Do you know your number aimed to achieve 70% and 50% control of hypertensive and dyslipidaemia patients, respectively, by 2026.To accomplish these goals, health literacy of healthcare workers, patients, and general population we will try to improve mostly using digital education and by organising schools of communication.
Subject(s)
Dyslipidemias , Health Literacy , Hypertension , Humans , Croatia , Dyslipidemias/drug therapy , Dyslipidemias/epidemiology , Dyslipidemias/therapy , Hypertension/drug therapy , Hypertension/epidemiology , Blood Pressure/drug effects , Male , FemaleABSTRACT
Various factors have been described in the literature to explain the tendency of an individual to undergo medical screenings. This study aimed to assess the association between the level of knowledge about dyslipidaemia and the frequency of lipid testing, as well as the potential impact of predisposing, enabling, and need factors on the uptake of blood lipid screening. This study was a cross-sectional survey involving 314 participants who were Malaysian residents of Taman Selatan, Klang, aged 30 and above. The study utilized a 42-item paper-based bilingual questionnaire to evaluate the predisposing, enabling, and need factors that could potentially influence the practice of lipid testing. Out of the 314 residents approached, 271 responded to the questionnaire yielding a response rate of 86.31%. The median knowledge score was 5 out of 17. Lower monthly income (OR = 3.225, 95% CI = 0.255 to 2.141), higher number of comorbidities (OR = 2.724, 95% CI = 0.037 to 2.013), higher total knowledge score (OR = 1.334, 95% CI = 0.063 to 0.512) and respondent's belief and attitude (OR = 0.813, 95% CI = -2.033 to -0.539), were found to be significantly associated with the frequency of lipid testing. In conclusion, the knowledge level regarding dyslipidaemia was below average and associated with a lower tendency to undergo frequent lipid testing. There is a need for innovative health awareness such as active educational campaigns in various settings of the community. Further qualitative studies that explore the understanding of the publics', and antecedents of their, lipid screening behaviour are required. Appropriate communication by healthcare providers should be encouraged during patient consultations for higher impact.
Subject(s)
Dyslipidemias , Health Knowledge, Attitudes, Practice , Humans , Dyslipidemias/diagnosis , Dyslipidemias/blood , Dyslipidemias/epidemiology , Female , Male , Middle Aged , Adult , Cross-Sectional Studies , Surveys and Questionnaires , Malaysia , Lipids/blood , Aged , Mass Screening/methodsABSTRACT
BACKGROUND: Evidence from cohort studies indicates a bidirectional relationship between periodontal disease and type 2 diabetes (T2D), but the underlying mechanisms remain unknown. In this study, we aimed to (1) identify saliva, plasma, and multifluid metabolomic signatures associated with periodontal disease and (2) determine if these signatures predict T2D progression and cardiometabolic biomarkers at year 3. METHODS AND RESULTS: We included participants from the SOALS (San Juan Overweight Adult Longitudinal Study) (n=911). Metabolites from saliva (k=635) and plasma (k=1051) were quantified using liquid chromatography-mass spectrometry. We applied elastic net regression with 10-fold cross-validation to identify baseline metabolomic signatures of periodontal disease. Multivariable Cox proportional hazards regression and linear regression were used to evaluate the association with T2D progression and biomarker concentrations. Metabolomic profiles included highly weighted metabolites related to lysine and pyrimidine metabolism. Periodontal disease or its 3 metabolomic signatures were not associated with T2D progression in 3 years. Prospectively, 1-SD increments in the multifluid and saliva metabolomic signatures were associated with higher low-density lipoprotein (multifluid: 12.9±5.70, P=0.02; saliva: 13.3±5.11, P=0.009). A 1-SD increment in the plasma metabolomic signature was also associated with Homeostatic Model Assessment for Insulin Resistance (2.67±1.14, P=0.02) and triglyceride (0.52±0.18, P=0.002). CONCLUSIONS: Although metabolomic signatures of periodontal disease could not predict T2D progression, they were associated with low-density lipoprotein, triglyceride, and Homeostatic Model Assessment for Insulin Resistance levels at year 3.
Subject(s)
Biomarkers , Diabetes Mellitus, Type 2 , Disease Progression , Dyslipidemias , Metabolomics , Obesity , Periodontal Diseases , Saliva , Humans , Male , Saliva/metabolism , Saliva/chemistry , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/metabolism , Diabetes Mellitus, Type 2/diagnosis , Female , Middle Aged , Dyslipidemias/blood , Dyslipidemias/epidemiology , Dyslipidemias/metabolism , Dyslipidemias/diagnosis , Biomarkers/blood , Periodontal Diseases/blood , Periodontal Diseases/metabolism , Periodontal Diseases/diagnosis , Periodontal Diseases/epidemiology , Metabolomics/methods , Obesity/blood , Obesity/metabolism , Obesity/complications , Overweight/blood , Overweight/metabolism , Overweight/complications , Blood Glucose/metabolism , Blood Glucose/analysis , Adult , Hispanic or Latino , Longitudinal Studies , Aged , Prospective StudiesABSTRACT
BACKGROUND: Glucokinase (GK) plays a key role in glucose metabolism. In the liver, GK is regulated by GK regulatory protein (GKRP) with nuclear sequestration at low plasma glucose level. Some GK activators (GKAs) disrupt GK-GKRP interaction which increases hepatic cytoplasmic GK level. Excess hepatic GK activity may exceed the capacity of glycogen synthesis with excess triglyceride formation. It remains uncertain whether hypertriglyceridemia associated with some GKAs in previous clinical trials was due to direct GK activation or impaired GK-GKRP interaction. METHODS: Using publicly available genome-wide association study summary statistics, we selected independent genetic variants of GCKR and GCK associated with fasting plasma glucose (FPG) as instrumental variables, to mimic the effects of impaired GK-GKRP interaction and direct GK activation, respectively. We applied two-sample Mendelian Randomization (MR) framework to assess their causal associations with lipid-related traits, risks of metabolic dysfunction-associated steatotic liver disease (MASLD) and cardiovascular diseases. We verified these findings in one-sample MR analysis using individual-level statistics from the Hong Kong Diabetes Register (HKDR). RESULTS: Genetically-proxied impaired GK-GKRP interaction increased plasma triglycerides, low-density lipoprotein cholesterol and apolipoprotein B levels with increased odds ratio (OR) of 14.6 (95% CI 4.57-46.4) per 1 mmol/L lower FPG for MASLD and OR of 2.92 (95% CI 1.78-4.81) for coronary artery disease (CAD). Genetically-proxied GK activation was associated with decreased risk of CAD (OR 0.69, 95% CI 0.54-0.88) and not with dyslipidemia. One-sample MR validation in HKDR showed consistent results. CONCLUSIONS: Impaired GK-GKRP interaction, rather than direct GK activation, may worsen lipid profiles and increase risks of MASLD and CAD. Development of future GKAs should avoid interfering with GK-GKRP interaction.
Subject(s)
Adaptor Proteins, Signal Transducing , Blood Glucose , Genetic Predisposition to Disease , Genome-Wide Association Study , Glucokinase , Mendelian Randomization Analysis , Humans , Adaptor Proteins, Signal Transducing/genetics , Risk Factors , Risk Assessment , Blood Glucose/metabolism , Glucokinase/genetics , Glucokinase/metabolism , Biomarkers/blood , Lipids/blood , Phenotype , Carrier Proteins/genetics , Carrier Proteins/metabolism , Polymorphism, Single Nucleotide , Time Factors , Dyslipidemias/genetics , Dyslipidemias/blood , Dyslipidemias/diagnosis , Dyslipidemias/epidemiology , Dyslipidemias/enzymology , Fatty Liver/genetics , Fatty Liver/enzymology , Fatty Liver/bloodABSTRACT
BACKGROUND: Dyslipidemia is an imbalance of lipid profiles. It increases the chance of clogged arteries and may cause heart attacks, strokes, and other circulatory disorders. Dyslipidemia affects the general population, but its severity is higher in diabetic populations. As a result, the chance of dyslipidemia-associated morbidity and mortality is highest in diabetic patients. In Ethiopia, around 2 to 6.5% of the population live with diabetes, but their lipid profiles are inconsistent across the studies. Therefore, this study aimed to estimate the pooled prevalence of diabetic dyslipidemia and its predictors among people with diabetes in Ethiopia. METHOD: A systematic review and meta-analysis was conducted. The searches were carried out in MEDLINE via PubMed and OVID, EBSCO, Embase, and other supplementary gateways such as Google and Google Scholar, for articles published up to June 2023. The articles were searched and screened by title (ti), abstract (ab), and full text (ft). The quality of the eligible studies was assessed by the Newcastle-Ottawa scale. The heterogeneity was detected by the Cochrane Q statistic test and the I-squared (I2) test. Then subgroup analysis and meta-regression analysis were used to identify the source of the variations. A random or fixed-effect meta-analysis model was used to estimate the overall pooled prevalence and average effects. The publication bias was assessed by the funnel plot asymmetry test and/or Begg and Mazumdar's test for rank correlation (p-value < 0.05). The protocol has been registered in an international database, the prospective register of systematic reviews (PROSPERO), with reference number CRD42023441572. RESULT: A total of 14 articles with 3662 participants were included in this review. The pooled prevalence of diabetic dyslipidemia in Ethiopia was found to be 65.7% (95% confidence interval (CI): 57.5, 73.9), I2 = 97%, and p-value < 0.001. The overall prevalence of triglycerides (TG) and high-density lipoprotein cholesterol (HDL-c) were found to be 51.8% (95% CI: 45.1, 58.6) and 44.2% (95% CI: 32.8, 55.7), respectively, among lipid profiles. In meta-regression analysis, the sample size (p value = 0.01) is the covariate for the variation of the included studies. Being female (adjusted odds ratio (AOR): 3.9, 95% CI: 1.5, 10.1), physical inactivity (AOR: 2.6, 95% CI: 1.5, 4.3), and uncontrolled blood glucose (AOR: 4.2, 95% CI: 1.9, 9.4) were found to be the determinants of dyslipidemia among diabetic patients. CONCLUSION: This review revealed that the prevalence of diabetic dyslipidemia is high among people with diabetes in Ethiopia. Being female, having physical inactivity, and having uncontrolled blood glucose were found to be predictors of dyslipidemia among people with diabetes. Therefore, regular screening of lipid profiles and the provision of lipid-lowering agents should be strengthened to reduce life-threatening cardiovascular complications. Furthermore, interventions based on lifestyle modifications, such as regular physical activity and adequate blood glucose control, need to be encouraged.
Subject(s)
Dyslipidemias , Humans , Ethiopia/epidemiology , Dyslipidemias/epidemiology , Prevalence , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/complications , Risk Factors , Diabetes Mellitus/epidemiologyABSTRACT
BACKGROUND: In contemporary times, increased prevalence of Helicobacter pylori (H. pylori) infection and elevated dyslipidemia levels present substantial public health challenges. However, the relationship between H. pylori and dyslipidemia remains inconclusive. No studies have yet conducted a population-based classification to investigate the impact of H. pylori infection on dyslipidemia in individuals with diabetes. METHODS: A retrospective cohort study was carried out on a total of 60,535 individuals who underwent health check-ups at the Health Examination Center in Taizhou Hospital from 2017 to 2022. Physical measurements, hematological markers and detection of H. pylori were gathered from all patients. The study population was further stratified into diabetic and non-diabetic groups for analysis. RESULTS: H. pylori infection was found to be an autonomous risk factor for dyslipidemia based on the results of multivariate logistic regression analysis (OR = 1.13, 95% CI: 1.03-1.24). However, no notable effect on dyslipidemia in the non-diabetic group was observed. Furthermore, at the follow-up, the group with persistent negative showed a significantly lower incidence ratio of dyslipidemia compared to the group with persistent infection (P = 0.006). The persistent negative group exhibited a significantly higher rate of improvement in dyslipidemia compared to the new infection group (P = 0.038). CONCLUSIONS: In the diabetic population, the presence of H. pylori infection heightens the propensity for developing dyslipidemia. Therefore, the implementation of efficient eradication strategies for H. pylori infection could potentially lead to a decrease in the occurrence of dyslipidemia among individuals with diabetes.