Predictive power of novel and established obesity indices for outcome in PAD during a five-year follow-up

Background and aimsPrevious data show contradicting results regarding relevance of obesity on outcome in peripheral arterial disease (PAD). Thus, this study aims to evaluate the predictive power of obesity as measured by established and novel obesity indices (waist circumference WC, waist-hip ratio WHR, body-mass index BMI, body adiposity index BAI, visceral adiposity index VAI, weight-adjusted waist index WWI) in a PAD cohort.Methods and resultsIn 367 patients with diagnosed PAD anthropometric parameters were assessed at study inclusion in an observational study. Mortality data was retrieved from the central death registry after five years. Outcome analyses were performed by multivariable Cox-regression models. 57 PAD patients (15.5%) died during the follow-up, of those 36 were categorized as cardiovascular origin. Patients from the all-cause mortality group were older, more often diabetics with a worse glucose control and had worse renal function. Obesity indices were not significantly different between the event and control group. None of the evaluated risk factors predicted cardiovascular or all-cause death after multivariable adjustment for age, gender, LDL-C, serum creatinine, systolic blood pressure, CRP, smoking habits, diabetes status and previous history of peripheral revascularisation (all-cause WC 1.007 (0.983–1.031), WHR 1.772 (0.106–29.595), BMI 1.006 (0.939–1.078), BAI 1.002 (0.945–1.063), VAI 1.019 (0.895–1.161), WWI 1.085 (0.831–1.416); cv-death WC 1.007 (0.978–1.036), WHR 0.382 (0.006–25.338), BMI 1.004 (0.918–1.098), BAI 1.034 (0.959–1.116), VAI 1.036 (0.885–1.213), WWI 1.061 (0.782–1.441)).ConclusionObesity as risk marker estimated by indices both for general and visceral adiposity, does not predict mortality in a secondary prevention cohort of PAD patients.     

Larger body mass index and waist circumference are associated with lower mortality in Chinese long-term care facility residents

OBJECTIVES: To investigate the association between body mass index (BMI) and waist circumference (WC) and all‐cause mortality of Chinese residents in long‐term care facilities in Taiwan. DESIGN: Prospective cohort study. SETTING: Eight long‐term care facilities in Taiwan. PARTICIPANTS: Three hundred fifty‐four residents aged 60 and older (median 78.4, range 60–101; 156 men, 198 women) were recruited during the study period. MEASUREMENTS: Anthropometrics and metabolic parameters were measured at baseline. Mean BMI was 21.7±4.2 kg/m² (range 11.6–35.3 kg/m², and mean WC was 82.4±10.9 cm (range 55.0–124.0 cm). Mortality data were from the Department of Health in Taiwan. RESULTS: There were 219 deaths during the 5 years of follow‐up. After adjusting for age, sex, albumin, Karnofsky performance status scale, hypertension, and diabetes mellitus, subjects in the highest quartile of BMI (27.3± 2.8 kg/m²) and WC (96.7±7.4 cm) had a significantly lower mortality rate than did subjects in the lowest quartile (BMI, 16.7±1.7 kg/m²; WC, 69.6±4.2 cm). After further stratification according to central obesity status, the subjects in the two highest BMI quartiles had a lower mortality rate than those in the lowest BMI quartile but only in the central obesity group (≥90 cm in men or ≥80 cm in women). The adjusted relative risk for all‐cause mortality in the highest versus lowest BMI quartile was 0.17 (95% confidence interval=0.05–0.57). CONCLUSION: BMI and WC were negative predictors for all‐cause mortality in older Chinese adults living in long‐term care facilities. Participants with higher WC and BMI had lower all‐cause mortality.     

Impact of body mass index and waist circumference on the cardiovascular risk and all-cause death in a general population: Data from the PAMELA study

Background and aimsElevated values of body mass index (BMI) and waist circumference (WC) are associated with an augmented cardiovascular (CV) risk. It is debated, however, whether and to what extent this depends on the body fat increase ‘per se’ or on the related cardiometabolic alterations.Methods and resultsIn 2005 subjects randomly selected from the general population of Monza (Italy), we assessed BMI, WC, office, home and 24 h blood pressure (BP), heart rate and metabolic variables. The impact of BMI and WC on the incidence of CV events, CV and all-cause mortality was estimated during a 148-month follow-up. Progressively higher values of BMI and WC were associated with a progressive increase in office, home and 24 h BP and in erratic BP variability (P < 0.0001 for trend). Metabolic variables were directly and significantly (P < 0.0001) related to BMI and WC, while an inverse significant relationship was detected with high-density lipoprotein (HDL)-cholesterol. The incidence of CV events, CV and all-cause deaths increased progressively from the lowest to the highest quintile of BMI and WC (P for trend always <0.005). Baseline BMI and WC higher by respectively 1 kg m^?2 and 1 cm were associated with an increased risk of CV events, CV and all-cause death by 8%, 12% and 7% (for baseline BMI) and 4%, 5% and 4% (for baseline WC), respectively. After adjustment for confounders, only the increased risk of CV death related to higher baseline BMI remained significant (hazard ratio (HR) 1.062, confidence interval (CI) 95% 1.003–1.126, P < 0.05).ConclusionThe adverse prognostic impact of the accumulation of body fat is mediated by the associated haemodynamic and metabolic alterations. Baseline values of BMI, however, are an independent predictor of CV mortality.     

Impaired glucose tolerance predicts all-cause mortality among older men at high risk for cardiovascular disease in China

AimsTo investigate the potential association between impaired glucose tolerance (IGT) and all-cause mortality among older men at high risk for cardiovascular disease (CVD) in China.MethodsIn this prospective observational study, 460 older men aged ≥60 years were determined to have either IGT or normal glucose tolerance (NGT) based on an oral glucose tolerance test conducted between May 2005 and May 2007. IGT and NGT were diagnosed according to the 1999 WHO diagnostic criteria. All subjects were followed until March 2017. The primary outcome studied was all-cause mortality. Multivariate Cox models were used to estimate relative risk for all-cause mortality.ResultsDuring a mean follow-up of 11.2 years, forty-three (21.4%) subjects in the IGT group and twenty-nine (11.2%) subjects in the NGT group died (HR 2.05, 95% CI 1.28–3.28, P = 0.003). Multivariate Cox proportional-hazards analysis demonstated that IGT was significantly associated with increased risk for all-cause mortality, composite cardiovascular outcome, nonfatal stroke and heart failure after adjusting for potential confounding factors. Logistic regression analysis showed that IGT at baseline (P < 0.05) rather than incident type 2 diabetes was a risk factor of all-cause mortality.ConclusionsIGT was significantly associated with all-cause mortality in older Chinese men at high risk for CVD.     

Statin adherence and risk of all-cause,cancer, and cardiovascular mortality among dyslipidemia patients: A time-dependent analysis

Background and aimResults have been mixed and uncertainty still remains regarding the impact of statin adherence on premature deaths. Thus, we investigated the association between statin adherence and risks of all-cause, cancer, and cardiovascular mortality among dyslipidemia patients in South Korea.Methods and resultsWe used data from the National Health Insurance Service (NHIS) National Sample Cohort for the years 2003–2013, which included data on 107,954 middle-aged and elderly dyslipidemia patients. Among these patients, a time-dependent Cox proportional hazards model was used to estimate the hazard ratios (HRs) of all-cause, cancer, and cardiovascular mortality depending on proportion of days covered (PDC) by statin medication. A total of 3073 (2.85%) individuals died within the study period. Of these individuals, 1143 (1.06%) died from cancer, and 687 (0.64%) died from cardiovascular diseases. Relative to good medication adherence (>80%), moderate (50–80%) (hazard ratio [HR]: 1.28, 95% confidence interval [CI]: 1.14–1.43) and poor (<50%) (HR: 1.58, 95% CI: 1.41–1.78) adherence were associated with increased risk of all-cause mortality. Poor adherence was also associated with increased risk of cancer (HR: 1.33, 95% CI: 1.16–1.52) and cardiovascular (HR: 1.27, 95% CI: 1.06–1.51) mortality.ConclusionSuch findings reveal that relative to good statin adherence, moderate and/poor adherence is associated with increased risks of all-cause, cancer, and cardiovascular mortality. Clinicians should assess for dyslipidemia, link statin adherence problems to potential mortality risk, and monitor outcomes in both medication adherence and disease complications.     

Is waist circumference a useful measure in predicting health outcomes in the elderly?

OBJECTIVE: To examine the effect of age on the relationship between body mass index (BMI) and waist circumference (WC), and the usefulness of BMI, WC and waist-hip ratio (WHR) in predicting mortality and cardiovascular risk in the elderly population. DESIGN: Longitudinal observational study of 36 months duration. SUBJECTS AND METHOD: A stratified random sample of 2,032 Chinese subjects (990 male, 1,033 female) mean age (s.d.) 80.1 (7.5), interviewed and examined at baseline and after 36 months. Deaths and presence of diabetes mellitus and hypertension were documented. A younger data set of 1,010 subjects (500 male, 510 female), mean age (s.d.) 45.5 (11.6), was used for comparison of the BMI-WC relationship between younger and older subjects. In predicting outcomes using different values of BMI, WC and WHR, receiver operating characteristic curve analysis was used to derive cut-off values with optimal sensitivity and specificity, and the likelihood ratios for mortality, diabetes and hypertension for different anthropometric values were plotted. RESULTS: The waist circumference values corresponding to BMI values of 25 and 30 kg/m(2) were higher in elderly (92 and 103 cm for men; 88 and 99 cm for women) compared with younger subjects (85 and 97 cm for men; 78 and 88 cm for women). BMI and WC are inversely associated with mortality, in both men and women, positively associated with diabetes in men but not in women. WC was positively associated with hypertension in men and women. WHR was not associated with any outcome measures. The anthropometric measurement at the point of intersection of the likelihood curves for mortality and diabetes may be considered the optimum value, being BMI=21 kg/m(2) for men and 25 kg/m(2) for women, WC between 80 and 85 cm, and WHR 0.88-0.90. CONCLUSION: Waist measurement values for predicting health outcomes in elderly people aged 70 y and over are different compared with younger subjects, and have similar predictive accuracy compared with body mass index. Waist-hip ratio is not a useful predictor.     

Association between body mass index and mortality in an 80-year-old population

OBJECTIVES: To evaluate the association between body mass index (BMI) and all-cause mortality and cardiovascular disease (CVD) in an 80-year-old population. DESIGN: Cohort study. SETTING: Community-based. PARTICIPANTS: Six hundred ninety-seven of 1,282 (54.4%) 80-year-old candidate individuals. MEASUREMENTS: The dates and causes of all deaths were followed up for 4 years. RESULTS: The relative hazard ratios (HRs) for all-cause mortality were lower in overweight subjects (BMI > or= 25.0) than in underweight (BMI<18.5) or normal-weight (BMI 18.5-24.9) subjects. Similarly, the HRs for mortality due to CVD in overweight subjects were 78% less (HR=0.22, 95% confidence interval (CI)=0.06-0.77) than those in underweight subjects, and those in normal weight subjects were 78% less (HR=0.22, 95% CI=0.08-0.60) than those in underweight subjects. Mortality due to CVD was 4.6 times (HR 4.64, 95% CI=1.68-12.80) as high in underweight subjects as in normal-weight subjects, and mortality due to cancers was 88% lower (HR=0.12, 95% CI=0.02-0.78) in the overweight group than in the underweight group. There were no differences in mortality due to pneumonia. CONCLUSION: Overweight status was associated with longevity and underweight with short life, due to lower and higher mortality, respectively, from CVD and cancer.     

Body mass index is inversely related to mortality in older people after adjustment for waist circumference

OBJECTIVES: To examine the individual and combined influence of body mass index (BMI) and waist circumference (WC) on mortality risk in older people. DESIGN: Longitudinal cohort study. SETTING: Cardiovascular Health Study, a longitudinal study of cardiovascular disease and its risk factors in older people. PARTICIPANTS: Five thousand two hundred men and women aged 65 and older. MEASUREMENTS: BMI and WC were measured at baseline. The risks of all-cause mortality associated with BMI and WC were examined using Cox proportional hazards models over 9 years of follow-up. RESULTS: When examined individually, BMI and WC were both negative predictors of mortality, but when BMI and WC were examined simultaneously, BMI was a negative predictor of mortality, whereas WC was a positive predictor of mortality. After controlling for WC, mortality risk decreased 21% for every standard deviation increase in BMI. After controlling for BMI, mortality risk increased 13% for every standard deviation increase in WC. The patterns of associations were consistent by sex, age, and disease status. CONCLUSION: Higher BMI values indicated a lower mortality risk once the risk attributable to WC was accounted for, whereas higher WC values indicate a higher mortality risk once the risk attributable to BMI was accounted for. Both BMI and WC should be measured in the clinical setting, but in older adults higher BMI is associated with lower mortality rates.     

Association of weight-adjusted-waist index with incident hypertension: The Rural Chinese Cohort Study

AimsTo explore the association between WWI and the incidence of HTN in the Rural Chinese Cohort Study.Methods and ResultsWe examined data for 10,338 non-hypertensive participants (39.49% men) aged ≥ 18 years from the Rural Chinese Cohort Study who completed a baseline examination during 2007–2008 and follow-up during 2013–2014. WWI was calculated as waist circumference (cm) divided by the square root of weight (kg). Multiple logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the probability of HTN across four WWI categories. Restricted cubic splines analysis was used to model the dose–response association of WWI and HTN. A total of 2078 participants had HTN during a median follow-up of 6 years. After adjusting for potential confounders, as compared with the lowest WWI category (<9.94 cm/√kg), with WWI 9.94 to 10.42, 10.42 to 10.91 and ≥ 10.91 cm/√kg, the ORs (95% CIs) for HTN were 1.12 (0.93–1.35), 1.40 (1.17–1.69) and 1.50 (1.24–1.82), respectively. Results of the sensitivity analyses were robust. The ORs were generally consistent on subgroup analysis by sex, smoking status, systolic blood pressure and diastolic blood pressure. Multiple logistic regression models with restricted cubic splines showed a non-linear positive association between WWI and HTN (P_nonlinearity < 0.001).ConclusionThe highest WWI category was significantly associated with increased risk of HTN. Our findings may facilitate the development and promotion of obesity prevention strategies aimed at reducing the risk of HTN and provide evidence for healthcare policy in rural China.     

Body mass index and mortality in patients with severe coronary artery diseases: A cohort study from China

Background and aimsIt is still controversial whether obesity and overweight increase the risk of mortality for patients with coronary artery disease. The current study aimed to investigate the relationship between body mass index (BMI) and mortality in patients with triple-vessel disease (TVD).Methods and resultsFrom April 2004 to February 2011, 8943 patients with angiographically confirmed TVD were consecutively enrolled. Patients were divided into five groups according to BMI: underweight (<18.5 kg/m²), normal weight (18.5–23.9 kg/m²), overweight: (24–27.9 kg/m²), mild obesity (28–31.9 kg/m²), and severe obesity (≥32 kg/m²). The primary end point was all-cause death. Subgroup analysis was performed for treatment strategies: revascularization and medical treatment alone. During a median follow-up of 7.5 years, lower risks of mortality were observed in patients with overweight (adjusted HR 0.85, 95% CI 0.75–0.97) and mild obesity (adjusted HR 0.83, 95% CI 0.69–1.00) compared to those with normal weight. Polynomial Cox regression suggested a U-shape association between BMI and adjusted mortality risk. In the revascularization subgroup, there was a significantly higher mortality risk in patients with severe obesity (adjusted HR 1.57, 95% CI 1.03–2.40) than in those with normal weight. While in the medical treatment subgroup, mortality risk decreased as BMI increased, with the lowest risk being observed in patients with severe obesity.ConclusionThere is a U-shape relationship between BMI and all-cause death in patients with TVD, with increased risks among both underweight and severely obese patients. This relationship may be influenced by treatment strategies.     

Waist-to-hip ratio is a better screening measure for cardiovascular risk factors than other anthropometric indicators in Tehranian adult men

BACKGROUND: It is essential to identify the best anthropometric index in any population to predict chronic disease risk. OBJECTIVE: To compare the ability of waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHpR) and waist-to-height ratio (WHtR) to predict cardiovascular risk factors in an urban adult population of Tehranian men. DESIGN: Population-based cross-sectional study. SUBJECTS: A representative sample of 4,449 men aged 18-74 y, participants of the Tehran Lipid and Glucose Study METHODS: Demographic data were collected; anthropometric indices and blood pressure were measured according to standard protocol. In the 18-34 y age category, cutoff points for BMI, WHpR, WHtR and WC were 24 kg/m(2), 0.86, 0.47 and 81 cm, respectively. In the 35-54 y age category these cut points were 26 kg/m(2), 0.91, 0.52 and 89 cm, and in the 55-74 y age category 26 kg/m(2), 0.95, 0.54 and 91 cm, respectively. Hypertension was defined based on JNC VI. Biochemical analysis was conducted on fasting blood samples. Diabetes was defined as fasting plasma glucose > or =126 mg/dl or 2hPG > or =200 mg/dl and dyslipidemia based on ATP III. The presence of 'at least one risk factor' from the three major cardiovascular risk factors (hypertension, dyslipidemia and diabetes) was also evaluated. RESULTS: Mean age of men was 41.8+/-15.4 y. Mean BMI, WHpR, WC and WHtR for subjects were 25.6+/-4.2 kg/m(2), 0.91+/-0.07, 87.7+/-11.7 cm and 0.51+/-0.02, respectively. Dyslipidemia and 'at least one risk factor' are more prevalent risk categories. Although all anthropometric indicators had a significant association to cardiovascular risk factors, WHpR had the highest correlation coefficients compared to other anthropometric measures. For all risk factors in all age categories, the highest odds ratios were pertained to WHpR. Of the four individual indicators, WHpR had the highest sensitivity, specificity and accuracy to predict cardiovascular risk factors. Cutoff points for WHpR were seen to have a higher percentage of correct prediction than BMI, WC and WHtR in all age categories. CONCLUSION: It is concluded that WHpR is a better predictor for cardiovascular risk factors than BMI, WC and WHtR in Tehranian adult men.     

A case-cohort study of the association between adiponectin and mortality in EPIC–Heidelberg: NT-proBNP may explain the adiponectin paradox

Background and aimsNT-proBNP has been hypothesized as a possible explanation for the paradoxical association between adiponectin and cardiovascular and all-cause mortality. We examined the heterogeneities by NT-proBNP, sex, BMI, smoking status, hypertension and diabetes status in the association between adiponectin and cardiovascular disease risk and mortality.Methods and resultsWe used a case-cohort design nested within the EPIC-Heidelberg cohort, including 1387 incident cases of myocardial infarction or stroke, 582 deaths from cardiovascular causes and 2352 total deaths. We estimated hazard ratios for the association between 1SD increase in log-transformed total adiponectin levels and cardiovascular disease risk, cardiovascular mortality and mortality using Prentice-weighted Cox-proportional hazard models and assessed heterogeneity of the associations across strata of covariates. Overall, adiponectin was significantly associated with all-cause mortality [HR = 1.09, 95% CI: 1.03–1.16, p = 0.004]. The association with cardiovascular mortality did not reach statistical significance [1.10 (0.99–1.37), p = 0.073]. There was significant heterogeneity by NT-proBNP in the association between total adiponectin and all-cause mortality (phet = 0.019) such that significant increase in hazards of mortality were restricted to participants in the highest tertile of NT-proBNP. Among these participants, adiponectin showed a dose-response relationship with total mortality such that; compared to participants in the lowest quintile, those in the third, fourth and fifth were at 1.22 (0.87–1.70), 1.50 (1.07–2.11), and 1.59 (1.15–2.21) higher hazards of mortality respectively.ConclusionsSignificant association between adiponectin and mortality was only observed in the context of high NT-proBNP. Our findings provide further support for hypothesis that NT-proBNP may explain the adiponectin paradox.     

Adult height and risk of death from all-cause,cardiovascular, and cancer-specific disease: The Rural Chinese Cohort Study

Background and aimsWe aimed to evaluate the sex-specific association of height and all-cause and cause-specific mortality in rural Chinese adults.Methods and resultsA total of 17,263 participants (10,448 women) ≥18 years old were randomly enrolled during 2007–2008 and followed up during 2013–2014. Sex-specific hazard ratios (HRs) for the height–mortality association, assessed in quintiles or 5 cm increments, were calculated by Cox proportional-hazards models. For both men and women, tall participants showed a baseline prevalence of high levels of socioeconomic factors including income and education but low systolic blood pressure and total cholesterol level. During a median of 6.01 years of follow-up, 620 men (in 39,993.45 person-years) and 490 women (in 61,590.10 person-years) died. With increasing height, the risk of all-cause mortality decreased in a curvilinear trend after adjustment for baseline age, socioeconomic and behavioral factors, and anthropometric and laboratory measurements. For men, height was inversely associated with all-cause mortality (HR per 5 cm increase: 0.89, 95% CI: 0.83–0.96) and cardiovascular mortality (HR per 5 cm increase: 0.81, 95% CI: 0.72–0.91). For women, height was inversely associated with all-cause mortality (HR per 5 cm increase: 0.88, 95% CI: 0.81–0.96) and other mortality (HR per 5 cm increase: 0.82, 95% CI: 0.71–0.96).ConclusionsOur study demonstrated a sex-specific inverse effect of height on mortality from different major causes in rural Chinese adults.     

Mortality in people with type 2 diabetes in the UK.

AIMS: Under-reporting of diabetes on death certificates contributes to the unreliable estimates of mortality as a result of diabetes. The influence of obesity on mortality in Type 2 diabetes is not well documented. We aimed to study mortality from diabetes and the influence of obesity on mortality in Type 2 diabetes in a large cohort selected from the General Practice Research Database (GPRD). Methods A cohort of 44 230 patients aged 35-89 years in 1992 with Type 2 diabetes was identified. A comparison group matched by year of birth and sex with no record of diabetes at any time was identified (219 797). Hazards ratios (HRs) for all-cause mortality during the period January 1992 to October 1999 were calculated using the Cox Proportional Hazards Model. The effects of body mass index (BMI), smoking and duration of diabetes on all-cause mortality amongst people with diabetes was assessed (n = 28 725). Results The HR for all-cause mortality in Type 2 diabetes compared with no diabetes was 1.93 (95% CI 1.89-1.97), in men 1.77 (1.72-1.83) and in women 2.13 (2.06-2.20). The HR decreased with increasing age. In the multivariate analysis in diabetes only, the HR for all-cause mortality amongst smokers was 1.50 (1.41-1.61). Using BMI 20-24 kg/m(2) as the reference range, for those with a BMI 35-54 kg/m(2) the HR was 1.43 (1.28-1.59) and for those with a BMI 15-19 kg/m(2) the HR was 1.38 (1.18-1.61). CONCLUSIONS: Patients with Type 2 diabetes have almost double the mortality rate compared with those without. The relative risk decreases with age. In people with Type 2 diabetes, obesity and smoking both contribute to the risk of all-cause mortality, supporting doctrines to stop smoking and lose weight.     

A Body Shape Index is positively associated with all-cause and cardiovascular disease mortality in the Chinese population with normal weight: A prospective cohort study

Background and aimA body shape index (ABSI) is a valuable predictor of mortality in the Western population, but similar evidence in the general Chinese population is limited. This study aims to evaluate the association between the ABSI and all-cause and cardiovascular disease (CVD) mortality in the Chinese population with normal weight.Methods and results9046 participants with normal BMI (18.5–24.9 kg/m²) from the China Hypertension Survey were enrolled. The baseline ABSI was calculated as waist circumference/(BMI^2/3height^1/2). Cox proportional hazards regression was performed to evaluate the association of the ABSI with all-cause and CVD mortality. Over an average follow-up of 5.4 years, 686 all-cause and 215 CVD deaths occurred. A 0.01-unit increment in the ABSI was associated with a 31% greater risk of all-cause mortality (hazard ratio [HR], 1.31; 95% CI: 1.12, 1.48) and CVD mortality (HR, 1.30; 95% CI: 1.08, 1.58). Compared with quartile 1 of the ABSI, the adjusted HRs of all-cause mortality for quartiles 2–4 were, respectively, 1.25 (95% CI: 0.98, 1.59), 1.28 (95% CI: 0.99, 1.67), and 1.54 (95% CI: 1.17, 2.03) (P_trend = 0.004), and those of CVD mortality for quartiles 2–4 were, respectively, 1.28 (95% CI: 0.88, 1.83), 1.42 (95% CI: 0.97, 2.08), and 1.45 (95% CI: 0.98, 2.170) (P_trend = 0.043). The dose–response analysis showed a linear positive association of the ABSI with all-cause (P_nonlinearity = 0.158) and CVD mortality (P_nonlinearity = 0.213).ConclusionThe ABSI was positively associated with all-cause and CVD mortality among the general Chinese population with normal BMI. The data suggest that the ABSI may be an effective tool for central fatness for mortality risk assessment.     

Triglyceride predicts cardiovascular mortality and its relationship with glycaemia and obesity in Chinese type 2 diabetic patients

BACKGROUND: To examine the lipid profile in Chinese type 2 diabetic patients and their relationship with anthropometric parameters, glycaemic control and cardiovascular mortality. METHODS: A consecutive cohort of 562 newly referred patients with type 2 diabetes to a hospital-based diabetes centre were examined in 1996. Subjects treated with lipid lowering drugs at the time of referral were excluded. A total of 517 subjects were followed up over a mean (+/-SD) period of 4.6 +/- 0.9 years. Glycated haemoglobin (HbA1c), fasting insulin and lipid profile and anthropometric parameters were documented at the time of recruitment. Cardiovascular mortality, mainly due to coronary heart disease and stroke, was ascertained using death registry and review of hospital case notes in 2001. RESULT: Of the 517 subjects (mean age of 54.0 +/- 14.0 years), 42.6% were men. In this cohort, 63.3% of subjects were either overweight (BMI > or = 23 kg/m2) or obese (BMI > or = 25 kg/m2) using Asian criteria. The mean (+/-SD) total cholesterol (TC), LDL-Cholesterol (LDL-C), HDL-Cholesterol (HDL-C) and geometric mean (x// antilog SD) of triglycerides (TG) were 5.6 +/- 1.3 mmol/L, 3.6 +/- 1.1 mmol/L, 1.3 +/- 0.3 mmol/L and 1.46x//1.90 mmol/L respectively. TC and LDL-C correlated positively with HbA1c, HDL-C negatively with BMI and WC (waist circumference), while TG positively with HbA1c, BMI, WC and HOMA (insulin resistance estimated using the homeostasis model assessment). During the 4.6 years follow-up period, there were 61 deaths giving a total mortality rate of 11.4%, of which 15 (25%) were because of cardiovascular events. Apart from age and disease duration, logarithm of TG was significantly associated with increased risk of cardiovascular mortality (p = 0.049, relative risk = 2.97, 95% CI 1.00-8.77). CONCLUSIONS: Chinese type 2 diabetic patients had a lower prevalence of obesity, lower TG and higher HDL-C than Caucasian patients. Despite the low incidence of cardiovascular death, TG, which was closely associated with obesity indexes, was significantly associated with cardiovascular death in these patients.     

Association between body mass index and mortality in atrial fibrillation patients with and without diabetes mellitus: Insights from a multicenter registry study in China

Background and aimsThe aim of this study was to evaluate the association between body mass index (BMI) and mortality in atrial fibrillation (AF) patients with and without diabetes mellitus (DM).Methods and resultsA total of 1991 AF patients were enrolled and divided into two groups according to whether they have DM at recruitment. Baseline information was collected and a mean follow-up of 1 year was carried out. The primary outcome was defined as all-cause mortality with the secondary outcomes including cardiovascular mortality, stroke and major adverse events (MAEs). Univariable and multivariable Cox regression were performed to estimate the association between BMI and 1-year outcomes in AF patients with and without DM. 309 patients with AF (15.5%) had comorbid DM at baseline. Patients with DM were more likely to have cardiovascular comorbidities, receive relevant medications but carry worse 1-year outcomes. Multivariable Cox regressions indicated that elevated BMI was related with reduced risk of all-cause mortality, cardiovascular mortality and major adverse events. Compared to normal weight, overweight [HR (95% CI): 0.548 (0.405–0.741), p < 0.001] and obesity [HR (95% CI): 0.541 (0.326–0.898), p = 0.018] were significantly related with decreased all-cause mortality for the entire cohort. Remarkably reduced all-cause mortality in the overweight [HR (95% CI): 0.497 (0.347–0.711), p < 0.001] and obesity groups [HR (95% CI): 0.405 (0.205–0.800), p = 0.009] could also be detected in AF patients without DM, but not in those with DM.ConclusionElevated BMI was associated with reduced mortality in patients with AF. This association was modified by DM. The obesity paradox confined to AF patients without DM, but could not be generalized to those with DM.     

Interaction of Physical Activity and Body Mass Index on Mortality in Coronary Heart Disease: Data from the Nord-Trøndelag Health Study

Objective

The role of physical activity in the relationship between body mass index (BMI) and survival in coronary heart disease is unclear. Our aim was to examine the isolated and combined associations among BMI, physical activity, and mortality in subjects with coronary heart disease.

Anthropometric parameter that best predict metabolic syndrome in South west Nigeria

AimThis study compared the ability of anthropometric parameters to predict Metabolic Syndrome (MetS).MethodsEleven anthropometric parameters: waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), visceral adiposity index (VAI), abdominal volume index (AVI), Conicity Index (CI), body adiposity index (BAI), lipid accumulation product (LAP) and waist circumference-triglyceride index (WTI) were measured and calculated in apparently healthy subjects with and without MetS. A receiver operating characteristic (ROC) curve was applied to assess their ability to predict MetS.ResultsOf the 535 subjects recruited 23% had MetS. WC had the largest area under the curve (AUC) in both men (0.814 95% CI 0.721–0.907) and women (0.819 95%CI 0.771–0.867). This did not differ from the AUC of BMI, WHtR, BRI, CI, BAI, LAP in men and BMI, WHtR, BAI, LAP, VAI and WTI in women (P > 0.05). The cutoff point for WC was 89.5 cm and 91.8 cm in men and women respectively. The AUC of WC was the largest in the 40–49 and 60 years and above age groups while the AUC of LAP was the largest for age groups 30–39 and 50–59 years.ConclusionOf the 11 anthropometric parameters assessed, the WC was the best at predicting MetS in both men and women. There is need to ascertain the cutoff point and establish landmark for measuring WC especially for the sub Saharan region.     

Obstructive sleep apnea syndrome and anthropometric obesity indexes

Background

The purpose of this study is to investigate whether the general body adiposity or regional adiposity was a risk factor in the evolution of obstructive sleep apnea syndrome (OSAS) by examining the relationships between the anthropometric obesity indexes such as waist (WC) and neck circumference index (NC), body mass index (BMI), and OSAS in Turkish adult population, and to access the possible differences by gender.

Methods

The data related to polysomnographic, demographic, and anthropometric indexes of the 499 subjects were examined retrospectively. The patients whose apnea?Chypopnea index was ??5 were determined as OSAS group.

Results

The avarage BMI, WC, and NC of the OSAS group (n?=?431) were statistically higher than the control group (p?<?0.001). According to logistic regression analysis, BMI, WC, and NC enlargement were observed as significant risk factors for OSAS development. Risk coefficients were determined 5.53 for NC, 4.48 for WC, and 2.22 for BMI. Cutoff point values for anthropometric obesity indexes as OSAS determiner were recorded as below: BMI for male >27.77?kg/m² and female >28.93?kg/m², NC index for male >40?cm and female >36?cm, and WC index for male >105?cm and female >101?cm.

Conclusions

BMI, WC, and NC enlargement were determined as significant risk factors for OSAS development. This was an initial study to determine the cutoff points of which increase the OSAS risk in BMI, WC, and NC index in Turkish adult population.