Can self-rated health identify us women and men with low bone mineral density? a cross-sectional population study

Background: Despite its simplicity, self-rated health (SRH) is a significant dimension of health assessment, with demonstrated means to identify individuals at increased risk of morbidity and mortality.Objective: The aim of the present study was to assess whether SRH, age, and modifiable osteoporosis risk factors in a hypothetical screening situation could identify individuals with low bone mineral density (BMD).Methods: Data were analyzed from a multiethnic sample of 4905 women and men aged 50 to 79 years from the Third National Health and Nutrition Examination Survey. Low BMD was assessed according to the World Health Organization definition using gender- and race/ethnicity-specific young adult mean values to calculate T-scores. Multiple linear regression analysis was used to determine whether BMD was lower among those with poorer SRH; multiple logistic regression analysis was used to determine whether poor SRH was associated with low BMD.Results: The study population included 616 and 589 African American; 522 and 564 Mexican American; and 1312 and 1302 white women and men, respectively. The distributions of SRH responses differed for African American and Mexican American women and men compared with the distributions for samegender whites, with significantly more white women and men reporting excellent or very good health (P < 0.05) and significantly greater proportions of African American and Mexican American women and men reporting poorer health (P < 0.05). Among women and nonwhite men, there was no evidence of an association between BMD and SRH. Linear trends of decreasing BMD with declining SRH were detected for all men with low or normal body mass index (P < 0.001) and overweight men (P < 0.001). When stratified by race/ethnicity, a linear trend of decreasing BMD with declining SRH was found for nonobese white men only (P-trend: <0.001). The likelihood of having low BMD among nonobese white men who reported excellent or very good health was two-thirds that of their male counterparts with poor SRH (P < 0.001).Conclusions: Independent of age and modifiable osteoporosis risk factors, poor SRH may be a relevant risk factor for low BMD among older nonobese white men. Further research is needed to determine whether SRH may be a useful risk assessment tool for low BMD in this group of men.     

Review of cardiovascular risk factors in women

Background: Although cardiovascular disease (CVD) is the leading cause of death in women in the United States, a knowledge gap persists regarding the mechanisms and management of CVD in women. Before treatment can be optimized, the role of cardiovascular risk factors must be elucidated.Objective: This review provides an updated assessment of cardiovascular risk factors in women, with a focus on cardiometabolic risk.Methods: MEDLINE and Cochrane Library databases, and statistics from the National Health and Nutrition Examination Survey and the American Heart Association, were searched from 1990 to September 2008 using the following terms: cardiovascular risk factors, women, gender, cardiometabolic risk, abdominal obesity, and metabolic syndrome. Publications were classified as English-only original data, reviews, and clinical guidelines. Nonpublished data were excluded. Data were extracted by 2 reviewers independently.Results: Investigators performing multivariable predictive models have estimated that traditional risk factors account for ~70% of the variance in estimating cardiovascular events. However, substantial sex differences exist in the prevalence of traditional risk factors as well as in cardiovascular outcomes. Hypertension is more prevalent in men until the age of 59 years, but then contributes to greater morbidity in older women. Low levels of high-density lipoprotein and elevated triglyceride levels pose more of a threat to women, yet high levels of low-density lipoprotein pose equal risk for women and men. The CVD mortality rate is -3 times greater in people with diabetes than in those without diabetes. Among diabetic individuals, CVD mortality is slightly higher in women compared with men.Conclusions: Increased knowledge of gender-specific risks for CVD has led to national campaigns to educate women. In addition to traditional risk factors, cardiometabolic risk is an important consideration in women. Controversy exists regarding the exact definitions and usefulness of the term metabolic syndrome, but it is clear that the presence of certain factors contributes to increased morbidity and mortality in affected individuals. Abdominal obesity links insulin resistance, dyslipidemia, and hypertension through complex endocrine pathways. Current research is identifying gene × gender interactions, and continued research is necessary to explore the relationship of sex steroids and cardiovascular risk in both men and women.     

Axial BMD in Diabetic and Nondiabetic Southeast Asians with HIP Fractures: Do Race and Body Mass Index Matter?

Objective: Obesity is less prevalent in Asian subjects with type 2 diabetes mellitus (T2DM) in contrast to Caucasians. Whether higher axial bone mineral density (BMD) often reported in T2DM is independent of body mass index (BMI) has not been clearly shown. BMD characterization in T2DM patients with hip fractures has also not been performed. We compared the BMD of Asian diabetic and nondiabetic patients with new hip fractures and explored how BMD was influenced by BMI.Methods: We included 255 diabetic and 148 nondiabetic patients. BMD adjusted for age; BMI; race; sex; renal function; and use of statins, proton pump inhibitors, steroids, anticonvulsants, and calcium and/or vitamin D supplements were compared between the groups. We were particularly interested in the BMD comparison between underweight diabetics and nondiabetics with hip fractures.Results: The presence of T2DM was associated with higher BMD (g/cm²) at the femoral neck (0.527 ± 0.103 vs. 0.491 ± 0.102, P<.01) and lumbar spine [LS] (0.798 ± 0.147 vs. 0.723 ± 0.156, P<.01). This association persisted after adjustment for multiple confounding variables including BMI. The age-, BMI-, and sex-adjusted LS BMD was higher in underweight (BMI <18.5 kg/m²) diabetics compared to similar weight nondiabetics (0.733 ± 0.126 vs. 0.649 ± 0.131 g/cm², P = .014).Conclusion: T2DM is independently associated with higher axial BMD in patients with new hip fractures. The finding of higher BMD even in underweight diabetics with hip fractures compared to their nondiabetic counterparts suggests that higher BMD in subjects with T2DM is not due to higher BMI.Abbreviations:BMD = bone mineral densityBMI = body mass indexCV = coefficient of variationDXA = dual-energy X-ray absorptiometryHbA1c = glycated hemoglobinIGF-1 = insulin growth factor-1LS = lumbar spine25(OH)D = 25-hydroxyvitamin DT2DM = type 2 diabetes mellitus     

Discordance between Prevalent Vertebral Fracture and Vertebral Strength Estimated by the Finite Element Method Based on Quantitative Computed Tomography in Patients with Type 2 Diabetes Mellitus

Background

Bone fragility is increased in patients with type 2 diabetes mellitus (T2DM), but a useful method to estimate bone fragility in T2DM patients is lacking because bone mineral density alone is not sufficient to assess the risk of fracture. This study investigated the association between prevalent vertebral fractures (VFs) and the vertebral strength index estimated by the quantitative computed tomography-based nonlinear finite element method (QCT-based nonlinear FEM) using multi-detector computed tomography (MDCT) for clinical practice use.

Research Design and Methods

A cross-sectional observational study was conducted on 54 postmenopausal women and 92 men over 50 years of age, all of whom had T2DM. The vertebral strength index was compared in patients with and without VFs confirmed by spinal radiographs. A standard FEM procedure was performed with the application of known parameters for the bone material properties obtained from nondiabetic subjects.

Results

A total of 20 women (37.0%) and 39 men (42.4%) with VFs were identified. The vertebral strength index was significantly higher in the men than in the women (P<0.01). Multiple regression analysis demonstrated that the vertebral strength index was significantly and positively correlated with the spinal bone mineral density (BMD) and inversely associated with age in both genders. There were no significant differences in the parameters, including the vertebral strength index, between patients with and without VFs. Logistic regression analysis adjusted for age, spine BMD, BMI, HbA1c, and duration of T2DM did not indicate a significant relationship between the vertebral strength index and the presence of VFs.

Conclusion

The vertebral strength index calculated by QCT-based nonlinear FEM using material property parameters obtained from nondiabetic subjects, whose risk of fracture is lower than that of T2DM patients, was not significantly associated with bone fragility in patients with T2DM. This discordance may indirectly suggest that patients with T2DM have deteriorated bone material compared with nondiabetic subjects, a potential cause of bone fragility in T2DM patients.     

Pregnancy loss and neonatal death in women with type 1 or type 2 diabetes mellitus

Background: Diabetes mellitus (DM) is known to be a significant risk factor for pregnancy loss, either through still-birth or late intrauterine death or as the result of severe congenital malformation. Improved glycemic control and other advances in care substantially reduced the incidence of pregnancy loss in women with type 1 DM in most countries by the 1970s. However, because of a greater prevalence of obesity since the 1980s, the emergence of type 2 DM in pregnancy has become a significant problem. Although more pregnancies now occur in women with type 2 DM than in those with type 1 DM in many locations, relatively little information has been published about pregnancy loss in type 2 DM.Objectives: This article examines the prevalence and causes of pregnancy loss in type 1 and type 2 DM and identifies factors in addition to glycemic control that may influence pregnancy outcome.Methods: A MEDLINE search was conducted for recent literature on pregnancy loss in DM. Series reporting >200 pregnancies in type 1 DM and/or >100 pregnancies in type 2 DM were included.Results: Thirty-four studies were identified (15 in type 1 DM [1997-2007], 19 in type 2 DM [1986-2007]). In type 1 DM, major congenital anomalies now account for ~50% of pregnancy losses, and all-cause perinatal mortality remains higher than in the general population. Several studies have suggested that the perinatal mortality rate is higher in type 2 DM than in type 1 DM. Factors other than glycemic control probably explain this phenomenon: women with type 2 DM typically are older and more obese, and they come from disadvantaged communities—all risk factors for pregnancy loss, particularly late intrauterine death and chorioamnionitis. In some women, type 2 DM may be recognized for the first time during pregnancy; pregnancies in these women carry the same risks of pregnancy loss as those in women with established DM.Conclusions: Demographic changes in the prevalence of obesity suggest that the prevalence of type 2 DM in pregnancy will almost certainly increase. Although meticulous glycemic control is undoubtedly important in achieving good pregnancy outcomes, clinicians should be aware of the multiple risk factors faced by women with DM.     

Gender differences in genetic risk profiles for cardiovascular disease

Background

Cardiovascular disease (CVD) incidence, complications and burden differ markedly between women and men. Although there is variation in the distribution of lifestyle factors between the genders, they do not fully explain the differences in CVD incidence and suggest the existence of gender-specific genetic risk factors. We aimed to estimate whether the genetic risk profiles of coronary heart disease (CHD), ischemic stroke and the composite end-point of CVD differ between the genders.

Methodology/Principal Findings

We studied in two Finnish population cohorts, using the case-cohort design the association between common variation in 46 candidate genes and CHD, ischemic stroke, CVD, and CVD-related quantitative risk factors. We analyzed men and women jointly and also conducted genotype-gender interaction analysis. Several allelic variants conferred disease risk for men and women jointly, including rs1801020 in coagulation factor XII (HR = 1.31 (1.08–1.60) for CVD, uncorrected p = 0.006 multiplicative model). Variant rs11673407 in the fucosyltransferase 3 gene was strongly associated with waist/hip ratio (uncorrected p = 0.00005) in joint analysis. In interaction analysis we found statistical evidence of variant-gender interaction conferring risk of CHD and CVD: rs3742264 in the carboxypeptidase B2 gene, p(interaction) = 0.009 for CHD, and rs2774279 in the upstream stimulatory factor 1 gene, p(interaction) = 0.007 for CHD and CVD, showed strong association in women but not in men, while rs2069840 in interleukin 6 gene, p(interaction) = 0.004 for CVD, showed strong association in men but not in women (uncorrected p-values). Also, two variants in the selenoprotein S gene conferred risk for ischemic stroke in women, p(interaction) = 0.003 and 0.007. Importantly, we identified a larger number of gender-specific effects for women than for men.

Conclusions/Significance

A false discovery rate analysis suggests that we may expect half of the reported findings for combined gender analysis to be true positives, while at least third of the reported genotype-gender interaction results are true positives. The asymmetry in positive findings between the genders could imply that genetic risk loci for CVD are more readily detectable in women, while for men they are more confounded by environmental/lifestyle risk factors. The possible differences in genetic risk profiles between the genders should be addressed in more detail in genetic studies of CVD, and more focus on female CVD risk is also warranted in genome-wide association studies.     

The relationship of body fat to metabolic disease: Influence of sex and ethnicity

Clinical investigations designed to determine risk profiles for the development of cardiovascular disease (CVD) and type 2 diabetes mellitus (DM) are usually performed in homogenous populations and often focus on body mass index (BMI), waist circumference (WC), and fasting triglyceride (TG) levels. However, there are major ethnic differences in the relationship of these risk factors to outcomes. For example, the BMI risk threshold may be higher in blacks than in whites and higher in women than in men. Furthermore, a WC that predicts an obese BMI in white women only predicts a BMI in the overweight category in black women. In addition, overweight black men have a greater risk of developing type 2 DM than do overweight black women. Although TG levels are excellent predictors of insulin resistance in whites, they are not effective markers of insulin resistance in blacks. Among the criteria sets currently available to predict the development of CVD and type 2 DM, the most well known is the metabolic syndrome. The metabolic syndrome has 5 criteria: central obesity, hypertriglyceridemia, low high-density lipoprotein (HDL) levels, fasting hyperglycemia, and hypertension. To make the diagnosis of the metabolic syndrome, 3 of the 5 factors must be present. For central obesity and low HDL, the metabolic syndrome guidelines are sex specific. Diagnostic guidelines should also take ethnic differences into account, particularly in the diagnosis of central obesity and hypertriglyceridemia.     

Diabetes,obesity, and erectile dysfunction

Background: Diabetes mellitus (DM) and obesity affect large parts of the population in the United States and around the world. These disorders are among the most common risk factors for erectile dysfunction (ED), because of their effects on the vasculature and the hormonal milieu.Objective: This article reviews the current literature on the connection between DM, obesity, and ED.Methods: Using the search terms erectile dysfunction, endothelial dysfunction, hypogonadism, diabetes, and obesity, a systematic review of the available literature in the PubMed database was conducted. Relevant English-language publications (to August 2008) were identified.Results: ED is highly prevalent in men with both DM and obesity, and may act as a harbinger for cardiovascular disease (CVD) in this high-risk population. In addition to male hypogonadism and macrovascular disease, endothelial dysfunction is central to the connection between the metabolic syndrome and ED. Conversely, improved glycemic control and weight loss have been found to improve erectile function.Conclusion: ED is very prevalent in men with DM and obesity. It is increasingly being recognized as an early clinical indicator and motivator for patients with CVD. The role of pharmacologic ED treatments in improving endothelial function is currently being investigated.     

Combination of BMI and Waist Circumference for Identifying Cardiovascular Risk Factors in Whites

Objective: BMI (kilograms per meters squared) and waist circumference (WC) (measured in centimeters) are each associated with the risk of developing cardiovascular disease (CVD). Therefore, a combination of the two may be more effective in identifying subjects at risk than either alone. The present study sought to identify the combination of BMI and WC that has the strongest association with CVD risk factors in whites. Research Methods and Procedures: Subjects were 8712 white men and women from the Third National Health and Nutrition Examination Survey. The optimal combination of BMI and WC was developed using logistic regression models with BMI and WC as predictors and CVD risk factors as outcomes. The combined measure of BMI and WC using current cut‐off points was also examined. Sensitivity, specificity, and receiver operating characteristics curves were compared between the combined measures and BMI alone. Results: For white men, the optimal combination of BMI and WC for identifying CVD risk factors was 0.68 × BMI + 0.32 × WC. This combination generated a score that better estimated the odds of having CVD risk factors than either alone. For white women, WC alone largely determined the likelihood of having CVD risks. The combination of BMI and WC using current cut‐off points may provide an improved measure of CVD risk. Combined measures showed a higher sensitivity or a shorter distance in receiver operating characteristic curves in the identification of CVD risk factors. Discussion: Combined measures of BMI and WC may provide a higher overall test performance for CVD risk factors and may be useful in some ethnic groups as an improved means of screening subjects for further evaluation in the clinical setting.     

Work stress, obesity and the risk of type 2 diabetes: gender-specific bidirectional effect in the Whitehall II study

Psychosocial work stress has been linked to higher risk of type 2 diabetes (T2DM), with the effect being consistently higher among women than men. Also, work stress has been linked to prospective weight gain among obese men but weight loss among lean men. Here, we aimed to examine the interaction between work stress and obesity in relation to T2DM risk in a gender‐specific manner. We studied 5,568 white middle‐aged men and women in the Whitehall II study, who were free from diabetes at analysis baseline (1993). After 1993, diabetes was ascertained at six consecutive phases by an oral glucose tolerance test supplemented by self‐reports. Cox regression analysis was used to assess the association between job strain (high job demands/low job control) and 18‐year incident T2DM stratifying by BMI (BMI <30 kg/m² vs. BMI ≥30 kg/m²). Overall, work stress was associated with incident T2DM among women (hazard ratio (HR) 1.41: 95% confidence intervals: 1.02; 1.95) but not among men (HR 0.87: 95% confidence interval 0.69; 1.11) (P_INTERACTION = 0.017). Among men, work stress was associated with a lower risk of T2DM in nonobese (HR 0.70: 0.53; 0.93) but not in obese individuals (P_INTERACTION = 0.17). Among women, work stress was associated with higher risk of T2DM in the obese (HR 2.01: 1.06; 3.92) but not in the nonobese (P_INTERACTION = 0.005). Gender and body weight status play a critical role in determining the direction of the association between psychosocial stress and T2DM. The potential effect‐modifying role of gender and obesity should not be ignored by future studies looking at stress‐disease associations.     

Transient Osteoporosis: Clinical Spectrum in Adults and Associated Risk Factors

Objective: We aimed to describe the natural history of the rare clinical syndrome of transient osteoporosis (TO) and ascertain potential risk factors.Methods: Retrospective cohort study of adults with TO at Mayo Clinic, Rochester, Minnesota, over 15 years. Adults with acute-onset joint pain worsened by weight bearing and bone marrow edema on magnetic resonance imaging were included; exclusion criteria were trauma, tumors, rheumatic diseases, avascular necrosis, infection, and hyperesthesia.Results: Thirty-three patients with TO were identified: 20 males, median age at diagnosis 47 years, and median body mass index 28 kg/m². Median time to diagnosis was 2 months, and time to symptom resolution was 4 months. All cases involved the lower extremity, with the majority affecting the hip. Most patients (79%) had at least one possible identified risk factor. The most frequent risk factor was low bone mineral density (BMD) in 13 patients (39% of cohort). Of the 16 patients with BMD measure, 8 had low BMD at a site other than TO. The next most frequent risk factors were sudden limb overuse and more than one episode of TO, observed in 30%, followed by a disorder of bone and mineral metabolism in 27%.Conclusion: TO affects middle-age men more than women, primarily involves weight-bearing joints, and usually resolves with conservative management. Its etiology remains unclear; however, the common presence of risk factors, abnormalities in bone and mineral laboratories, and decrease in BMD suggest that systemic factors may be important in its development.Abbreviations: AVN = avascular necrosis; BMD = bone mineral density; DXA = dual-energy X-ray absorptiometry; MRI = magnetic resonance imaging; TO = transient osteoporosis     

Relationships of Obesity and Fat Distribution With Atherothrombotic Risk Factors: Baseline Results From the Bypass Angioplasty Revascularization Investigation 2 Diabetes (BARI 2D) Trial

The impact of obesity on cardiovascular disease (CVD) outcomes in patients with type 2 diabetes mellitus (T2DM) and established coronary artery disease (CAD) is controversial; whether BMI and/or waist circumference correlate with atherothrombotic risk factors in such patients is uncertain. We sought to evaluate whether higher BMI or waist circumference are associated with specific risk factors among 2,273 Bypass Angioplasty Revascularization Investigation 2 Diabetes (BARI 2D) study participants with T2DM and documented CAD (baseline data, mean age 62 years, 66% non‐Hispanic white, 71% men). Multiple linear regression models were constructed after adjusting for sex, age, race/ethnicity, US vs. non‐US site, diabetes duration, exercise, smoking, alcohol, and relevant medication use. First‐order partial correlations of BMI with risk factors after controlling for waist circumference and of waist circumference with risk factors after controlling for BMI were also evaluated. Ninety percent of the patients were overweight (BMI ≥25 kg/m²); 68% of men and 89% of women had high‐risk waist circumference measures (≥102 and ≥88 cm, respectively). BMI and waist circumference, in separate models, explained significant variation in metabolic (insulin, lipids, blood pressure (BP)) and inflammatory/procoagulation (C‐reactive protein, PAI‐1 activity and antigen, and fibrinogen) risk factors. In partial correlation analyses BMI was independently associated with BP and inflammatory/procoagulation factors, waist circumference with lipids, and both BMI and waist circumference with insulin. We conclude that, in cross‐sectional analyses, both BMI and waist circumference, independently, are associated with increased atherothrombotic risk in centrally obese cohorts such as the BARI 2D patients with T2DM and CAD.     

Risk of Cardiovascular Disease and Total Mortality in Adults with Type 1 Diabetes: Scottish Registry Linkage Study

Background

Randomized controlled trials have shown the importance of tight glucose control in type 1 diabetes (T1DM), but few recent studies have evaluated the risk of cardiovascular disease (CVD) and all-cause mortality among adults with T1DM. We evaluated these risks in adults with T1DM compared with the non-diabetic population in a nationwide study from Scotland and examined control of CVD risk factors in those with T1DM.

Methods and Findings

The Scottish Care Information-Diabetes Collaboration database was used to identify all people registered with T1DM and aged ≥20 years in 2005–2007 and to provide risk factor data. Major CVD events and deaths were obtained from the national hospital admissions database and death register. The age-adjusted incidence rate ratio (IRR) for CVD and mortality in T1DM (n = 21,789) versus the non-diabetic population (3.96 million) was estimated using Poisson regression. The age-adjusted IRR for first CVD event associated with T1DM versus the non-diabetic population was higher in women (3.0: 95% CI 2.4–3.8, p<0.001) than men (2.3: 2.0–2.7, p<0.001) while the IRR for all-cause mortality associated with T1DM was comparable at 2.6 (2.2–3.0, p<0.001) in men and 2.7 (2.2–3.4, p<0.001) in women. Between 2005–2007, among individuals with T1DM, 34 of 123 deaths among 10,173 who were <40 years and 37 of 907 deaths among 12,739 who were ≥40 years had an underlying cause of death of coma or diabetic ketoacidosis. Among individuals 60–69 years, approximately three extra deaths per 100 per year occurred among men with T1DM (28.51/1,000 person years at risk), and two per 100 per year for women (17.99/1,000 person years at risk). 28% of those with T1DM were current smokers, 13% achieved target HbA_1c of <7% and 37% had very poor (≥9%) glycaemic control. Among those aged ≥40, 37% had blood pressures above even conservative targets (≥140/90 mmHg) and 39% of those ≥40 years were not on a statin. Although many of these risk factors were comparable to those previously reported in other developed countries, CVD and mortality rates may not be generalizable to other countries. Limitations included lack of information on the specific insulin therapy used.

Conclusions

Although the relative risks for CVD and total mortality associated with T1DM in this population have declined relative to earlier studies, T1DM continues to be associated with higher CVD and death rates than the non-diabetic population. Risk factor management should be improved to further reduce risk but better treatment approaches for achieving good glycaemic control are badly needed. Please see later in the article for the Editors'' Summary     

Low Testosterone Concentrations in Men Contribute to the Gender Gap in Cardiovascular Morbidity and Mortality

BackgroundAcross the industrialized world, men experience an earlier onset of cardiovascular disease (CVD) and a life expectancy 5 to 10 years shorter than women. Low total testosterone (TT) concentrations in men have been suggested as a novel CVD risk factor, but its contribution to this gender gap is less well studied.MethodsWe used data of 4152 individuals (2113 women and 2039 men) aged 20 to 79 years from the longitudinal population-based cohort Study of Health in Pomerania, Germany. Multivariable Poisson and Cox proportional hazard regression models were used to investigate the risk of incident cardiovascular morbidity (5-year examination follow-up), as well as all-cause and CVD mortality (10-year follow-up) between men and women. Additionally, the added risk attributable to low TT in men (<10th percentile) was assessed.ResultsCompared with women, men were uniformly at higher risk of incident cardiovascular morbidity, including overweight, hypertension, dyslipidemia, metabolic syndrome, and type 2 diabetes mellitus. Men were also at increased all-cause mortality (hazard ratio = 2.05; 95% CI, 1.61–2.60) and 10-year CVD risk compared with women. In subgroup analyses, men with low TT showed the highest 10-year CVD and mortality risk compared with both men with higher TT and women. TT was also negatively associated with cardiovascular risk as defined by the Framingham risk score (P < 0.001), after multivariable adjustment.ConclusionsAnalyzing a large population-based sample, we observed that men have a generally higher risk of incident cardiovascular morbidity and mortality. Furthermore, men with low TT concentrations were identified as high-risk individuals with regard to 10-year CVD and mortality risk.     

Resting Metabolic Rate in Severely Obese Diabetic and Nondiabetic Subjects

Objectives : To compare the resting metabolic rate (RMR) between diabetic and nondiabetic obese subjects and to develop a predictive equation of RMR for these subjects. Research Methods and Procedures : Obese adults (1088; mean age = 44.9 ± 12.7 years) with BMI ≥ 35 kg/m² (mean BMI = 46.4 ± 8.4 kg/m²) were recruited. One hundred forty‐two subjects (61 men, 81 women) were diagnosed with type 2 diabetes (DM), giving the prevalence of DM in this clinic population as 13.7%. RMR was measured by indirect calorimetry, and several multivariate linear regression models were performed using age, gender, weight, height, BMI, fat mass, fat mass percentage, and fat‐free mass as independent variables. Results : The severely obese patients with DM had consistently higher RMR after adjustment for all other variables. The best predictive equation for the severely obese was RMR = 71.767 ? 2.337 × age + 257.293 × gender (women = 0 and men = 1) + 9.996 × weight (in kilograms) + 4.132 × height (in centimeters) + 145.959 × DM (nondiabetic = 0 and diabetic = 1). The age, weight, and height‐adjusted least square means of RMR between diabetic and nondiabetic groups were significantly different in both genders. Discussion : Severely obese patients with type 2 diabetes had higher RMR than those without diabetes. The RMR of severely obese subjects was best predicted by an equation using age, gender, weight, height, and DM as variables.     

Different anthropometric adiposity measures and their association with cardiovascular disease risk factors: a meta-analysis

Objectives

To investigate which anthropometric adiposity measure has the strongest association with cardiovascular disease (CVD) risk factors in Caucasian men and women without a history of CVD.

Design

Systematic review and meta-analysis.

Methods

We searched databases for studies reporting correlations between anthropometric adiposity measures and CVD risk factors in Caucasian subjects without a history of CVD. Body mass index (BMI), waist circumference, waist-to-hip ratio, waist-to-height ratio and body fat percentage were considered the anthropometric adiposity measures. Primary CVD risk factors were: systolic blood pressure, diastolic blood pressure, high density lipoprotein (HDL) cholesterol, triglycerides and fasting glucose. Two independent reviewers performed abstract, full text and data selection.

Results

Twenty articles were included describing 21,618 males and 24,139 females. Waist circumference had the strongest correlation with all CVD risk factors for both men and women, except for HDL and LDL in men. When comparing BMI with waist circumference, the latter showed significantly better correlations to CVD risk factors, except for diastolic blood pressure in women and HDL and total cholesterol in men.

Conclusions

We recommend the use of waist circumference in clinical and research studies above other anthropometric adiposity measures, especially compared with BMI, when evaluating CVD risk factors.     

Female Gender Is a Social Determinant of Diabetes in the Caribbean: A Systematic Review and Meta-Analysis

BackgroundDiabetes (DM) is estimated to affect 10–15% of the adult population in the Caribbean. Preventive efforts require population wide measures to address its social determinants. We undertook a systematic review to determine current knowledge about the social distribution of diabetes, its risk factors and major complications in the Caribbean. This paper describes our findings on the distribution by gender.MethodsWe searched Medline, Embase and five databases through the Virtual Health Library, for Caribbean studies published between 2007 and 2013 that described the distribution by gender for: known risk factors for Type 2 DM, prevalence of DM, and DM control or complications. PRISMA guidance on reporting systematic reviews on health equity was followed. Only quantitative studies (n>50) were included; each was assessed for risk of bias. Meta-analyses were performed, where appropriate, on studies with a low or medium risk of bias, using random effects models.ResultsWe found 50 articles from 27 studies, yielding 118 relationships between gender and the outcomes. Women were more likely to have DM, obesity, be less physically active but less likely to smoke. In meta-analyses of good quality population-based studies odds ratios for women vs. men for DM, obesity and smoking were: 1.65 (95% CI 1.43, 1.91), 3.10 (2.43, 3.94), and 0.24 (0.17, 0.34). Three studies found men more likely to have better glycaemic control but only one achieved statistical significance.

Conclusion and Implications

Female gender is a determinant of DM prevalence in the Caribbean. In the vast majority of world regions women are at a similar or lower risk of type 2 diabetes than men, even when obesity is higher in women. Caribbean female excess of diabetes may be due to a much greater excess of risk factors in women, especially obesity. These findings have major implications for preventive policies and research.     

Glycemia and Cardiova Scular Disease in Type 1 Diabetes Mellitus

ObjectiveTo evaluate the role of glycemic control in the development of cardiovascular disease (CVD) in type 1 diabetes mellitus (DM).MethodsWe review the literature regarding coronary atherosclerosis, coronary artery calcification, and the epidemiologic studies related to the role of glycemia and the classic risk factors for coronary artery disease (CAD) in type 1 DM.ResultsFour prospective studies (Wisconsin Epidemiologic Study of Diabetic Retinopathy, EURODIAB, Steno Diabetes Center Study of Adults With Type 1 DM, and Pittsburgh Epidemiology of Diabetes Complications study) do not show that glycemic control predicts CAD occurrence. Findings from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications study show that compared with conventional insulin therapy, intensive insulin therapy reduces CVD among patients with type 1 DM and is associated with lower prevalence of coronary artery calcification. The discrepancies between the findings from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications study and the Pittsburgh Epidemiology of Diabetes Complication study are likely due to differences between the study populations and the lower prevalence of renal disease in the former study. Besides duration of DM and albuminuria/overt nephropathy, insulin resistance is a major determinant of CAD associated with type 1 DM.ConclusionsDiscrepant study results regarding the relationship between glycemia and CAD/coronary artery calcification may be related to the prevalence of renal disease and the presence of the metabolic syndrome. Published data suggest that addressing traditional risk factors including albuminuria, the metabolic syndrome, and inflammatory markers is better for preventing and treating CAD than focusing exclusively on glycemic control, which is still necessary for preventing microvascular complications. Furthermore, there is a synergistic effect of glycemic control and albuminuria on the development of CVD. (Endocr Pract. 2008;14:912-923)     

Incidental Thyroid Nodules: Race/Ethnicity Disparities and Outcomes

Objective: Black patients have a significantly lower incidence of well-differentiated thyroid cancer (WDTC) compared to all other race/ethnic groups, while white patients appear to be at greater risk. This study examines incidental thyroid nodules (ITNs) to assess whether racial disparities in WDTC arise from a differential discovery of ITNs—perhaps due to socioeconomic disparities—or reflect true differences in thyroid cancer rates.Methods: A retrospective review was performed of all patients who underwent fine-needle aspiration (FNA) of thyroid nodules by our academic medical center's endocrinology division between January 2006 and December 2010. Medical records were reviewed to identify whether the biopsied thyroid nodule was discovered incidentally through nonthyroid-related imaging or identified by palpation.Results: FNAs were performed on 1,369 total thyroid nodules in 1,141 study patients; 547 (48%) were classified as white, and 593 (52%) were classified as nonwhite. Among this cohort, 36.6% of patients underwent biopsy for an ITN. White patients were 1.6 times more likely to have undergone a biopsy for a nodule that was incidentally identified compared to nonwhites (P<.0001). Indicators of socioeconomic status (SES) did not have a significant association with ITNs. Within the ITN cohort, 4.9% of nonwhite patients were found to have a thyroid malignancy compared to 12.9% of white patients (P<.01).Conclusion: The higher incidence of thyroid cancer in white patients appears to be not only due to diagnostic bias, but also to a true difference in cancer prevalence.Abbreviations: FNA = fine-needle aspiration; ITN = incidental thyroid nodule; SEER = Surveillance Epidemiology and End Results; SES = socioeconomic status; WDTC = well-differentiated thyroid cancer