BACKGROUND Type 1 diabetes(T1D)contributes to altered lipid profiles and increases the risk of cardiovascular disease(CVD).Youth with T1D may have additional CVD risk factors within the first decade of diagnosis.AIM T...BACKGROUND Type 1 diabetes(T1D)contributes to altered lipid profiles and increases the risk of cardiovascular disease(CVD).Youth with T1D may have additional CVD risk factors within the first decade of diagnosis.AIM To examine risk factors for dyslipidemia in young subjects with T1D.METHODS Longitudinal and cross-sectional retrospective study of 170 young subjects with T1D(86 males;baseline mean age 12.2±5.6 years and hemoglobin A1c 8.4%±1.4%)were followed in a single tertiary diabetes center for a median duration of 15 years.Predictors for outcomes of lipid profiles at last visit(total cholesterol[TC],triglycerides[TGs],low-density lipoprotein-cholesterol[LDL-c],and highdensity lipoprotein-cholesterol[HDL-c])were analyzed by stepwise linear regression models.RESULTS At baseline,79.5%of the patients had at least one additional CVD risk factor(borderline dyslipidemia/dyslipidemia[37.5%],pre-hypertension/hypertension[27.6%],and overweight/obesity[16.5%])and 41.6%had multiple(≥2)CVD risk factors.A positive family history of at least one CVD risk factor in a first-degree relative was reported in 54.1%of the cohort.Predictors of elevated TC:family history of CVD(β[SE]=23.1[8.3],P=0.006);of elevated LDL-c:baseline diastolic blood pressure(DBP)(β[SE]=11.4[4.7],P=0.003)and family history of CVD(β[SE]=20.7[6.8],P=0.017);of elevated TGs:baseline DBP(β[SE]=23.8[9.1],P=0.010)and family history of CVD(β[SE]=31.0[13.1],P=0.020);and of low HDL-c levels:baseline DBP(β[SE]=4.8[2.1],P=0.022]).CONCLUSION Our findings suggest that elevated lipid profiles are associated with DBP and a positive family history of CVD.It is of utmost importance to prevent and control modifiable risk factors such as these,as early as childhood,given that inadequate glycemic control and elevation in blood pressure intensify the risk of dyslipidemia.展开更多
Background: Guidelines are issued by most major organizations that focus on a specific disease entity. Guidelines should be a significant help to the practicing physician who may not be up-to-date with the recent medi...Background: Guidelines are issued by most major organizations that focus on a specific disease entity. Guidelines should be a significant help to the practicing physician who may not be up-to-date with the recent medical literature. Unfortunately, when conflicting guidelines for a specific disease are published, confusion results. Purpose: This article provides a suggested guideline outcome measure that would benefit the physician and patient. Methods: A review of 19 different guidelines for cardiovascular disease treatment is one example of the lack of specific outcomes that currently exist. The basic problem with most guidelines is that they do not state the expected end result (i.e., the benefit to the patient) if that guideline is followed. When guidelines use cardiovascular disease risk factors to dictate therapy, the end benefit is never stated so that the patient can make an appropriate choice of which (if any) guideline to follow. Results: A good example is guidelines published by the American Heart Association for reducing cardiovascular disease. These guidelines are risk factor based and only indicate that cardiovascular disease would be reduced if followed. No specific percentage in the reduction of the incidence of disease is given. In contrast, when elimination of the disease is the stated goal of the guideline, the end result is clear. To date, this goal has been stated by only one organization devoted to eliminating cardiovascular disease. Conclusion: Guidelines need to be written to provide the physician and the patient with a specific end point that is expected when the guideline is followed. Patient acceptance and compliance will be much improved if the patient knows the risk/benefit of following the guideline’s recommendations.展开更多
In this study, we aimed to assess the relationship of socioeconomic status and acculturation with cardiovascular disease (CVD) risk profiles and CVD and examine the CVD risk factors associated with CVD. We used data...In this study, we aimed to assess the relationship of socioeconomic status and acculturation with cardiovascular disease (CVD) risk profiles and CVD and examine the CVD risk factors associated with CVD. We used data from the 2010 China Chronic Disease and Risk Factor Surveillance surveys, which consisted of a nationally representative sample of women. The following prevalence was found: myocardial infarction (MI):展开更多
Objective To compare the relative risk of waist circumference (WC) and/or BMI on cardiovascular risk factors. Methods A cross-sectional data of 41 087 adults (19 567 male and 21 520 female) from the 2002 China Nat...Objective To compare the relative risk of waist circumference (WC) and/or BMI on cardiovascular risk factors. Methods A cross-sectional data of 41 087 adults (19 567 male and 21 520 female) from the 2002 China National Nutrition and Health Survey were examined. According to the obesity definition of WGOC (BMI, 24 kg/m^2 and 28 kg/m^2; WC, male 85 cm and 95 cm for male, 80 cm and 90 cm for female), the study population were divided into 9 groups. The prevalence and odds ratio (ORs) of cardiovascular disease (CVD) risk factors (hypertension, high fasting plasma glucose and dyslipidemia) were compared among these 9 groups. Stepwise linear regression analyses were used to compare the likelihood of BMI and/or WC on CVD risk factors. Results Both the indexes levels and the odds ratios of CVD risk factors were significantly increased (decreased for HDL-C levels) along with the increase of WC and/or BMI, even when the effect of age, sex, income, education, sedentary activity and dietary factors were adjusted. The variances (R2) in CVD risk factors explained by WC only and BMI only were quite similar, but a little bit larger when WC and BMI were combined. The standard fl was higher of BMI when predicting systolic BP and was higher of WC when predicting TG, TC and HDL. Conclusions BMI and WC had independent effects on CVD risk factors and combination of BMI and WC would be more predictive. Findings from the present study provided substantive evidence for the WGOC recommendation of a combined use of BMI and WC classifications.展开更多
Objectives To explore the optimal threshold values of waist circumference (WC) for detecting cardiovascular (CV) risk factors among Chinese children and adolescents. Methods Association of WC with CV risk factors ...Objectives To explore the optimal threshold values of waist circumference (WC) for detecting cardiovascular (CV) risk factors among Chinese children and adolescents. Methods Association of WC with CV risk factors was studied among 65 898 children aged 7-18 years whose data were pooled from nine previous studies in China. CV risk factors in this study included hypertension (blood pressure above 95 percentile levels), dyslipidemia (with one or more of the following three indexes: TG ≥ 1.7 mmol/L, TC ≥ 5.18 mmol/L, and HDL-C ≤ 1.04 mmol/L) and elevated glucose level (fasting plasma glucose ≥5.6 mmol/L). Receive-operating characteristic analysis (ROC) and logistic regression were employed to derive optimal age- and sex-specific waist circumference references for predicting CV risk factors. Results A slight increasing trend of CV risk factors was observed starting from the 75th percentile of waist circumference in the study population, while a remarkable increasing trend occurred from the 90th percentile. The optimal waist circumference thresholds for predicting high blood pressures were at the 75th percentile for both boys and girls, which was at the 90th percentiles for detecting at least two of the above three CV risk factors. In comparison with children with waist circumference below the 75th percentile, the odds ratio of two CV risk factors doubled among children with waist circumference between the 75th and the 90th percentile, and increased by 6 times among children with waist circumference above the 90th percentile. The trend of high blood pressure increasing with waist circumference remained significant after having been stratified by BMI category. Conclusion The 75th and the 90th percentiles of WC are the optimal cut-off points for predicting an increased and a substantially increased risk of CV factors in Chinese children and adolescents, respectively.展开更多
基金The study was reviewed and approved by the Institutional Review Board at Rabin Medical Center,approval No.0075-17-RMC.
文摘BACKGROUND Type 1 diabetes(T1D)contributes to altered lipid profiles and increases the risk of cardiovascular disease(CVD).Youth with T1D may have additional CVD risk factors within the first decade of diagnosis.AIM To examine risk factors for dyslipidemia in young subjects with T1D.METHODS Longitudinal and cross-sectional retrospective study of 170 young subjects with T1D(86 males;baseline mean age 12.2±5.6 years and hemoglobin A1c 8.4%±1.4%)were followed in a single tertiary diabetes center for a median duration of 15 years.Predictors for outcomes of lipid profiles at last visit(total cholesterol[TC],triglycerides[TGs],low-density lipoprotein-cholesterol[LDL-c],and highdensity lipoprotein-cholesterol[HDL-c])were analyzed by stepwise linear regression models.RESULTS At baseline,79.5%of the patients had at least one additional CVD risk factor(borderline dyslipidemia/dyslipidemia[37.5%],pre-hypertension/hypertension[27.6%],and overweight/obesity[16.5%])and 41.6%had multiple(≥2)CVD risk factors.A positive family history of at least one CVD risk factor in a first-degree relative was reported in 54.1%of the cohort.Predictors of elevated TC:family history of CVD(β[SE]=23.1[8.3],P=0.006);of elevated LDL-c:baseline diastolic blood pressure(DBP)(β[SE]=11.4[4.7],P=0.003)and family history of CVD(β[SE]=20.7[6.8],P=0.017);of elevated TGs:baseline DBP(β[SE]=23.8[9.1],P=0.010)and family history of CVD(β[SE]=31.0[13.1],P=0.020);and of low HDL-c levels:baseline DBP(β[SE]=4.8[2.1],P=0.022]).CONCLUSION Our findings suggest that elevated lipid profiles are associated with DBP and a positive family history of CVD.It is of utmost importance to prevent and control modifiable risk factors such as these,as early as childhood,given that inadequate glycemic control and elevation in blood pressure intensify the risk of dyslipidemia.
文摘Background: Guidelines are issued by most major organizations that focus on a specific disease entity. Guidelines should be a significant help to the practicing physician who may not be up-to-date with the recent medical literature. Unfortunately, when conflicting guidelines for a specific disease are published, confusion results. Purpose: This article provides a suggested guideline outcome measure that would benefit the physician and patient. Methods: A review of 19 different guidelines for cardiovascular disease treatment is one example of the lack of specific outcomes that currently exist. The basic problem with most guidelines is that they do not state the expected end result (i.e., the benefit to the patient) if that guideline is followed. When guidelines use cardiovascular disease risk factors to dictate therapy, the end benefit is never stated so that the patient can make an appropriate choice of which (if any) guideline to follow. Results: A good example is guidelines published by the American Heart Association for reducing cardiovascular disease. These guidelines are risk factor based and only indicate that cardiovascular disease would be reduced if followed. No specific percentage in the reduction of the incidence of disease is given. In contrast, when elimination of the disease is the stated goal of the guideline, the end result is clear. To date, this goal has been stated by only one organization devoted to eliminating cardiovascular disease. Conclusion: Guidelines need to be written to provide the physician and the patient with a specific end point that is expected when the guideline is followed. Patient acceptance and compliance will be much improved if the patient knows the risk/benefit of following the guideline’s recommendations.
文摘In this study, we aimed to assess the relationship of socioeconomic status and acculturation with cardiovascular disease (CVD) risk profiles and CVD and examine the CVD risk factors associated with CVD. We used data from the 2010 China Chronic Disease and Risk Factor Surveillance surveys, which consisted of a nationally representative sample of women. The following prevalence was found: myocardial infarction (MI):
基金supported by Ministry of Health and Ministry of Science and Technology, China (2001DEA30035, 2003DIA6N08)
文摘Objective To compare the relative risk of waist circumference (WC) and/or BMI on cardiovascular risk factors. Methods A cross-sectional data of 41 087 adults (19 567 male and 21 520 female) from the 2002 China National Nutrition and Health Survey were examined. According to the obesity definition of WGOC (BMI, 24 kg/m^2 and 28 kg/m^2; WC, male 85 cm and 95 cm for male, 80 cm and 90 cm for female), the study population were divided into 9 groups. The prevalence and odds ratio (ORs) of cardiovascular disease (CVD) risk factors (hypertension, high fasting plasma glucose and dyslipidemia) were compared among these 9 groups. Stepwise linear regression analyses were used to compare the likelihood of BMI and/or WC on CVD risk factors. Results Both the indexes levels and the odds ratios of CVD risk factors were significantly increased (decreased for HDL-C levels) along with the increase of WC and/or BMI, even when the effect of age, sex, income, education, sedentary activity and dietary factors were adjusted. The variances (R2) in CVD risk factors explained by WC only and BMI only were quite similar, but a little bit larger when WC and BMI were combined. The standard fl was higher of BMI when predicting systolic BP and was higher of WC when predicting TG, TC and HDL. Conclusions BMI and WC had independent effects on CVD risk factors and combination of BMI and WC would be more predictive. Findings from the present study provided substantive evidence for the WGOC recommendation of a combined use of BMI and WC classifications.
基金This research was pooled from nine previous studies which were supported by the Ministry of Health and Ministry of Science and Technology in China (2001DEA30035, 2003DIA6N08)Department of Paediatrics, the Chinese University of Hong Kong and Hong Kong Paediatric Society (grant H030930030130)+3 种基金Beijing Municipal Science and Technology Commission (Y043204, NSFC30500419)Program for New Century Excellent Talents in University of China 2005, Chongqing Health Bureau (07-2-156)State Sport General Administration (06134)the Eleventh Five-Year Plan of Beijing’s Haidian District, and European Nutricia Fund.
文摘Objectives To explore the optimal threshold values of waist circumference (WC) for detecting cardiovascular (CV) risk factors among Chinese children and adolescents. Methods Association of WC with CV risk factors was studied among 65 898 children aged 7-18 years whose data were pooled from nine previous studies in China. CV risk factors in this study included hypertension (blood pressure above 95 percentile levels), dyslipidemia (with one or more of the following three indexes: TG ≥ 1.7 mmol/L, TC ≥ 5.18 mmol/L, and HDL-C ≤ 1.04 mmol/L) and elevated glucose level (fasting plasma glucose ≥5.6 mmol/L). Receive-operating characteristic analysis (ROC) and logistic regression were employed to derive optimal age- and sex-specific waist circumference references for predicting CV risk factors. Results A slight increasing trend of CV risk factors was observed starting from the 75th percentile of waist circumference in the study population, while a remarkable increasing trend occurred from the 90th percentile. The optimal waist circumference thresholds for predicting high blood pressures were at the 75th percentile for both boys and girls, which was at the 90th percentiles for detecting at least two of the above three CV risk factors. In comparison with children with waist circumference below the 75th percentile, the odds ratio of two CV risk factors doubled among children with waist circumference between the 75th and the 90th percentile, and increased by 6 times among children with waist circumference above the 90th percentile. The trend of high blood pressure increasing with waist circumference remained significant after having been stratified by BMI category. Conclusion The 75th and the 90th percentiles of WC are the optimal cut-off points for predicting an increased and a substantially increased risk of CV factors in Chinese children and adolescents, respectively.