scholarly journals Effects of Fresh Mango Consumption on Cardiometabolic Risk Factors in Overweight and Obese Adults

Author(s):  
Martin Rosas ◽  
Sherry Pinneo ◽  
Celeste O’Mealy ◽  
Michelle Tsang ◽  
Changqi Liu ◽  
...  
2016 ◽  
Vol 20 (6) ◽  
pp. 984-991 ◽  
Author(s):  
Peng Ju Liu ◽  
Fang Ma ◽  
Hui Ping Lou ◽  
Yan Ning Zhu

AbstractObjectiveWaist-to-height ratio (WHtR) has been reported to be more strongly associated with cardiometabolic risk factors among non-obese individuals than BMI and waist circumference (WC). A body shape index (ABSI) and body roundness index (BRI) have been proposed recently to assess obesity-related disorders or mortalities. Our aim was to compare the ability of ABSI and BRI with that of WHtR to identify cardiometabolic risk factors in Chinese adults with normal BMI and WC.DesignReceiver-operating characteristic curves and areas under the curve (AUC) were employed to evaluate the ability of the indices (WHtR, BRI, ABSI) to identify metabolic risk factors and to determine the indices’ optimal cut-off values. The value of each index that resulted in maximization of the Youden index (sensitivity + specificity – 1) was defined as optimal. Differences in the AUC values between the indices were also evaluated.SettingIndividuals attending a voluntary health check-up in Beijing, China, July–December 2015, were recruited to the study.SubjectsNon-obese adults (n 1596).ResultsAmong both genders, ABSI exhibited the lowest AUC value for identifying each risk factor among the three indices; the AUC value of BRI for identifying each risk factor was very close to that of WHtR, and no significant differences were observed between the AUC values of the two new indices.ConclusionsWhen evaluating cardiometabolic risk factors among non-obese adults, WHtR was a simple and effective index in the assessment of cardiometabolic risk factors, BRI could be used as an alternative body index to WHtR, while ABSI could not.


2016 ◽  
Vol 30 (S1) ◽  
Author(s):  
Diane L. McKay ◽  
Misha Eliasziw ◽  
C‐Y Oliver Chen ◽  
Jeffrey B. Blumberg

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 776-P
Author(s):  
CLARA MARQUINA ◽  
AYA MOUSA ◽  
NEGAR NADERPOOR ◽  
DE COURTEN BARBORA

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Andrea Brennan ◽  
Miu Lam ◽  
Robert Hudson ◽  
Robert Ross

Cardiorespiratory fitness (CRF) is a strong, independent predictor of morbidity and mortality. Although the majority of adults who increase daily physical activity experience an increase in CRF (VO2 peak), about 10-15% of participants do not increase CRF despite participating in a standardized exercise program. In this study we sought to determine whether exercise combined with a healthy diet was associated with a corresponding improvement in cardiometabolic risk factors despite the absence of change in CRF. We studied 59 sedentary, abdominally obese (waist circumference: 104.6 ± 8.5cm) adults who participated in 3 (women) or 4 (men) months of supervised aerobic exercise. CRF was measured using a standard treadmill test. Cardiometabolic risk factors included fasting triglycerides, total cholesterol, HDL-C, LDL-C, insulin, glucose, systolic and diastolic blood pressure. Participants were asked to exercise 7 days per week for the time required to expend 500 kcals per session for women, and 700 kcals for men. The intensity of exercise was self-selected and ranged between 65-90% of VO2 peak. Men and women were combined for all analyses. To examine the relationship between corresponding changes in cardiometabolic risk factors and CRF, participants were divided into tertiles based on mean change in CRF. A linear trend test was used to characterize the change in cardiometabolic risk factors across CRF change tertiles. The volume (energy expenditure (kcal)) and intensity (%VO2 peak) of exercise performed across tertiles of change in CRF was not different (P>0.10). As expected a significant linear trend across tertiles was observed for change in CRF (P<0.001), however, the mean change in CRF within the lowest tertile was not significant (P>0.10). Without exception, no linear trend was observed for the change in cardiometabolic risk factors across tertiles of change in CRF (P>0.10). This was also true for change in waist circumference and visceral fat (P>0.10). Regression analysis using the total sample confirmed that, with the exception of glucose, the change score for each cardiometabolic risk factor was not related to the change in CRF (P>0.10). Our findings suggest that in abdominally obese adults, improvement in cardiometabolic risk profile is not associated with change in CRF and that increasing physical activity combined with a healthful diet is associated with substantial health benefit in the absence of change in CRF.


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