46 research outputs found

    Waist-to-Height Ratio Is More Predictive of Years of Life Lost than Body Mass Index

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    Objective: Our aim was to compare the effect of central obesity (measured by waist-to-height ratio, WHtR) and total obesity (measured by body mass index, BMI) on life expectancy expressed as years of life lost (YLL), using data on British adults. Methods: A Cox proportional hazards model was applied to data from the prospective Health and Lifestyle Survey (HALS) and the cross sectional Health Survey for England (HSE). The number of years of life lost (YLL) at three ages (30, 50, 70 years) was found by comparing the life expectancies of obese lives with those of lives at optimum levels of BMI and WHtR. Results: Mortality risk associated with BMI in the British HALS survey was similar to that found in US studies. However, WHtR was a better predictor of mortality risk. For the first time, YLL have been quantified for different values of WHtR. This has been done for both sexes separately and for three representative ages. Conclusion: This study supports the simple message ‘‘Keep your waist circumference to less than half your height’’. The use of WHtR in public health screening, with appropriate action, could help add years to life

    Measures of abdominal adiposity and the risk of stroke: the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) study.

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    Excess fat accumulates in the subcutaneous and visceral adipose tissue compartments. We tested the hypothesis that indicators of visceral adiposity, namely, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), are better predictors of stroke risk than body mass index (BMI).The association of BMI, WC, WHR, and WHtR with stroke was assessed in 31,201 men and 23,516 women, free of vascular disease at baseline, from the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) study. During a mean follow-up of 11 years, 1130 strokes were recorded. Relative risks (95\% CI) were calculated by Cox regression after stratification for center and adjustment for age, smoking, educational level, alcohol consumption, hypertension, diabetes, total cholesterol, high-density lipoprotein cholesterol, and BMI and model fit was assessed using log-likelihoods.BMI, WC, WHR, and WHtR were associated with the risk of stroke in men. After full adjustment including BMI, the relative risks for stroke remained significant for WC (1.19 [1.02 to 1.34] per 1 SD increase in WC), WHR (1.14 [1.03 to 1.26]), and WHtR (1.50 [1.28 to 1.77]). Among women, the extent of the associations with stroke risk was similar for WHtR (1.31 [1.04 to 1.65]), WC (1.19 [0.96 to 1.47]), and WHR (1.08 [0.97 to 1.22]). Further analyses by World Health Organization obesity categories showed that WC, WHR, and WHtR were associated with the risk of stroke also in lean men and women (BMI<25 kg/m2), independently of confounders, cardiovascular risk factors, and BMI.Indicators of abdominal adiposity, especially WHtR, are more strongly associated with stroke risk than BMI. These results emphasize the importance of measuring abdominal adiposity, especially in lean subjects

    Measures of Abdominal Adiposity and the Risk of Stroke The MOnica Risk, Genetics, Archiving and Monograph (MORGAM) Study

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    Background and Purpose—Excess fat accumulates in the subcutaneous and visceral adipose tissue compartments. We tested the hypothesis that indicators of visceral adiposity, namely, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), are better predictors of stroke risk than body mass index (BMI).Methods–The association of BMI, WC, WHR, and WHtR with stroke was assessed in 31 201 men and 23 516 women, free of vascular disease at baseline, from the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) study. During a mean follow-up of 11 years, 1130 strokes were recorded. Relative risks (95% CI) were calculated by Cox regression after stratification for center and adjustment for age, smoking, educational level, alcohol consumption, hypertension, diabetes, total cholesterol, high-density lipoprotein cholesterol, and BMI and model fit was assessed using log-likelihoods.Results—BMI, WC, WHR, and WHtR were associated with the risk of stroke in men. After full adjustment including BMI, the relative risks for stroke remained significant for WC (1.19 [1.02 to 1.34] per 1 SD increase in WC), WHR (1.14 [1.03 to 1.26]), and WHtR (1.50 [1.28 to 1.77]). Among women, the extent of the associations with stroke risk was similar for WHtR (1.31 [1.04 to 1.65]), WC (1.19 [0.96 to 1.47]), and WHR (1.08 [0.97 to 1.22]). Further analyses by World Health Organization obesity categories showed that WC, WHR, and WHtR were associated with the risk of stroke also in lean men and women (BMI &lt;25 kg/m2), independently of confounders, cardiovascular risk factors, and BMI.Conclusions—Indicators of abdominal adiposity, especially WHtR, are more strongly associated with stroke risk than BMI. These results emphasize the importance of measuring abdominal adiposity, especially in lean subjects.<br/

    Relationship between onset-to-door time and door-to-thrombolysis time: a pooled analysis of 10 dedicated stroke centers.

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    BACKGROUND AND PURPOSE: Inverse relationship between onset-to-door time (ODT) and door-to-needle time (DNT) in stroke thrombolysis was reported from various registries. We analyzed this relationship and other determinants of DNT in dedicated stroke centers. METHODS: Prospectively collected data of consecutive ischemic stroke patients from 10 centers who received IV thrombolysis within 4.5 hours from symptom onset were merged (n=7106). DNT was analyzed as a function of demographic and prehospital variables using regression analyses, and change over time was considered. RESULTS: In 6348 eligible patients with known treatment delays, median DNT was 42 minutes and kept decreasing steeply every year (P&lt;0.001). Median DNT of 55 minutes was observed in patients with ODT ≤30 minutes, whereas it declined for patients presenting within the last 30 minutes of the 3-hour time window (median, 33 minutes) and of the 4.5-hour time window (20 minutes). For ODT within the first 30 minutes of the extended time window (181-210 minutes), DNT increased to 42 minutes. DNT was stable for ODT for 30 to 150 minutes (40-45 minutes). We found a weak inverse overall correlation between ODT and DNT (R(2)=-0.12; P&lt;0.001), but it was strong in patients treated between 3 and 4.5 hours (R(2)=-0.75; P&lt;0.001). ODT was independently inversely associated with DNT (P&lt;0.001) in regression analysis. Octogenarians and women tended to have longer DNT. CONCLUSIONS: DNT was decreasing steeply over the last years in dedicated stroke centers; however, significant oscillations of in-hospital treatment delays occurred at both ends of the time window. This suggests that further improvements can be achieved, particularly in the elderly
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