Visceral fat area is the measure of obesity best associated with mobility disability in community dwelling oldest-old Chinese adults

Abstract Background Although obesity can be clinically defined by body mass index (BMI), waist circumference, percent body fat, or visceral fat area, it is unclear which specific measure is best associated with mobility disability in oldest-old adults. Methods Among 589 Chinese participants aged 85 years and older in a population-based cohort in Singapore, we measured waist circumference, computed BMI, estimated appendicular skeletal muscle mass, percent body fat, and visceral fat area using bioelectrical impedance analysis, and evaluated mobility disability using the Loco-Check questionnaire. We computed areas under the receiver operating characteristic curves (AUCROC) to compare how well these measures discriminated between those with and without mobility disability. Logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI) for the associations between obesity defined by these measures and mobility disability. Results Compared to BMI, which had an AUCROC (95% CI) of 0.68 (0.64–0.72) for the discrimination of mobility disability, only visceral fat area had a significantly higher discriminative performance [AUCROC (95% CI) of 0.71 (0.67–0.75) (Padjusted = 0.002)]. The optimal cut-offs of visceral fat area for the discrimination of mobility disability were ≥ 104 cm2 in men and ≥ 137 cm2 in women. In fully adjusted models, only obesity defined by visceral fat area was significantly associated with mobility disability [OR (95% CI) of 2.04 (1.10–3.77)]; obesity defined by the other measures were not associated with mobility disability after adjusting for visceral fat. Conclusion In oldest-old adults, visceral fat area was the best discriminator for obesity associated with mobility disability.

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Associations of Body Mass Index, Visceral Fat Area, Waist Circumference, and Waist-to-Hip Ratio with Cognitive Function in Western China: Results from WCHAT Study

The journal of nutrition health & aging ◽

10.1007/s12603-021-1642-2 ◽

2021 ◽

Author(s):

X. Liu ◽

X. Chen ◽

L. Hou ◽

X. Xia ◽

F. Hu ◽

...

Keyword(s):

Body Mass Index ◽

Cognitive Function ◽

Waist Circumference ◽

Body Mass ◽

Visceral Fat ◽

Western China ◽

Visceral Fat Area ◽

Waist To Hip Ratio

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Cut-off Values of Visceral Fat Area and Waist Circumference: Diagnostic Criteria for Abdominal Obesity in a Korean Population

Journal of Korean Medical Science ◽

10.3346/jkms.2006.21.6.1048 ◽

2006 ◽

Vol 21 (6) ◽

pp. 1048 ◽

Cited By ~ 51

Author(s):

Jeong Ah Kim ◽

Chang Jin Choi ◽

Keun Sang Yum

Keyword(s):

Waist Circumference ◽

Diagnostic Criteria ◽

Abdominal Obesity ◽

Visceral Fat ◽

Korean Population ◽

Visceral Fat Area

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Where is the beef? Waist circumference is more highly correlated with BMI and total body fat than with abdominal visceral fat in children

International Journal of Obesity ◽

10.1038/ijo.2013.170 ◽

2013 ◽

Vol 38 (6) ◽

pp. 753-754 ◽

Cited By ~ 24

Author(s):

P T Katzmarzyk ◽

C Bouchard

Keyword(s):

Waist Circumference ◽

Body Fat ◽

Visceral Fat ◽

Total Body Fat ◽

Abdominal Visceral Fat ◽

Total Body ◽

Highly Correlated

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Abstract 3555: Increased Fatness and Reduced Fitness are Associated with Aortic Stiffness in Persons with Type 2 Diabetes and Hypertension

Circulation ◽

10.1161/circ.116.suppl_16.ii_804-c ◽

2007 ◽

Vol 116 (suppl_16) ◽

Author(s):

Kerry J Stewart ◽

Brian H George ◽

Kristina Potrekus ◽

Anita C Bacher ◽

Harry A Silber ◽

...

Keyword(s):

Type 2 Diabetes ◽

Oxygen Uptake ◽

Body Fat ◽

Visceral Fat ◽

Maximal Oxygen Uptake ◽

Aortic Stiffness ◽

Percent Body Fat ◽

Large Artery ◽

And Gender

Background: Large artery stiffness, thought to be a marker of cardiovascular disease, is accelerated in persons with diabetes and hypertension. While reduced fatness and increased fitness are associated with lower BP, we tested the hypothesis that increased fatness and reduced fitness are each independently associated with greater aortic stiffness. Methods: Sedentary subjects (M=60; F=29), mean (SD) age 57.1 (5.8) years, were examined at baseline as part of an exercise training study to reduce BP in persons with type 2 diabetes. Subjects were taking their usual medical therapy. For BP eligibility, subjects were required to have SBP between 120–159 and/or DBP between 80–99 mm Hg during 2 consecutive weekly visits. BP was the mean of the screening visits and a visit after qualification for the study. Aortic stiffness was assessed by carotid-to-femoral pulse wave velocity (PWV), using ultrasound probes simultaneously at each of these sites. General fatness was assessed by dual-energy x-ray absorptiometry (DEXA) and expressed as percent body fat. Abdominal fatness was assessed by magnetic resonance imaging at the level of the umbilicus and the areas for total, subcutaneous, and visceral fat were measured. Maximal oxygen uptake was obtained on a treadmill. The associations of PWV with BP, oxygen uptake, and abdominal fat were determined by stepwise regression analysis with adjustment for age and gender. Results: PWV was 922.9 (300.0) msec, SBP was 126.9 (13.2) mm Hg, DBP was 71.8 (8.8) mm Hg, pulse pressure (PP) was 55.0 (10.4) mm Hg, percent body fat was 35.0 (6.5) %, and maximal oxygen uptake was 21.7 (5.0) ml/kg/min. In the final model, the variance in PWV was accounted for by increased PP, 8.9%; increased abdominal visceral fat accounted for an additional 6.2%; increased percent body fat, an additional 3%; and decreased maximal oxygen uptake, an additional 5.6%. Conclusions: These data bring to light an independent relationship of aortic stiffness with increased fatness and reduced fitness. Though further work is needed to elucidate the mechanisms linking aortic stiffness, fatness, and fitness, these findings support the need for a therapeutic approach for reducing aortic stiffness that considers the potential benefits of weight reduction and exercise.

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Associations of Body Mass Index, Visceral Fat Area, Waist Circumference, and Waist-To-Hip Ratio with Cognitive Function in Western China: Results from A WCHAT Study

10.21203/rs.3.rs-154197/v1 ◽

2021 ◽

Author(s):

Xiaolei Liu ◽

Xiaoyan Chen ◽

Lisha Hou ◽

Xin Xia ◽

Fengjuan Hu ◽

...

Keyword(s):

Body Mass Index ◽

Waist Circumference ◽

Cognitive Performance ◽

Body Mass ◽

Visceral Fat ◽

Cognitive Abilities ◽

Strong Association ◽

Western China ◽

Visceral Fat Area ◽

Waist To Hip Ratio

Abstract ObjectivesThis study examined the relationship between cognitive performance and obesity parameters, such as body mass index (BMI), visceral fat area (VFA), waist circumference (WC), and waist-to-hip ratio (WHR) in western China.Study designA cross-sectional studyMethods3914 participants, aged >50 years, were recruited in this study. Anthropometrics measurements, life-style factors, chronic disease comorbidities, and sleep qualities were recorded for each participant. Among the anthropometrics, BMP, WC, and WHR were assessed using standard procedures, while VHA was calculated using bioelectrical impedance analysis. Cognitive performance was estimated using the Short Portable Mental Status Questionnaire (SPMSQ). Finally, relationships between cognitive abilities and BMI, VFA, WC, and WHR were evaluated using univariate and multivariate regression analyses. ResultsCognitive decline (CD) occurred at a rate of 13.29% among the 3914 participants. A strong correlation was observed between cognitive abilities and BMI of male patients aged 50-59 yrs (OR 1.116,95% CI1.002-1.242), in the adjusted model. Alternately, WHR was shown to be significantly related to CD in females aged >70 years (OR 0.041, 95% CI0.002-0.671). WC was shown to have a strong association with CD in males (OR 1.023,95% CI1.003-1.024). Lastly, WHR was closely connected to CD in participants with BMI < 25 kg/m2 (OR 0.022,95% CI0.002-0.209).Conclusions Our findings suggest that a higher middle age BMI is associated with CD, whereas, in the elderly population, a higher WHR is related to improved cognitive performance. Further investigation is warranted to elucidate a relationship between VFA and CD.

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A Cross-Sectional Study: Predicting Health Risks Among Female University Students

The Open Public Health Journal ◽

10.2174/1874944502013010316 ◽

2020 ◽

Vol 13 (1) ◽

pp. 316-322

Author(s):

Qassim I. Muaidi ◽

Mohammad Ahsan

Keyword(s):

Waist Circumference ◽

Health Risks ◽

Visceral Fat ◽

Linear Regression Analysis ◽

Cross Sectional Study ◽

Anthropometric Measurements ◽

Height Ratio ◽

Visceral Fat Area ◽

Cross Sectional ◽

Waist Height Ratio

Background: Good health is very important in our lives and plays a significant role. Many health risks are associated with an unhealthy lifestyle. These risks are responsible for raising the risk of chronic heart diseases and other health complications. Females are not exempted from these issues. Objective: To identify the obesity-associated health risks of female students by using selected anthropometric measurements. Methods: A cross-sectional study was conducted including 300 females aged 20.82 ± 5.23 years from the college of applied medical sciences, Imam Abdulrahman bin Faisal University. The anthropometric measurements (body mass index, percentage of body fat, visceral fat area, waist circumference, waist-hip ratio,and waist-height ratio) were taken with the help of an auto-calibrated bioelectric impedance device. The waist-height ratio was determined by dividing waist circumference with height. Cross tabulation was done to scrutinize the participant’s levels at risk and high risk. Linear regression analysis was done to see the relationship and prediction between selected anthropometric measurements. Results: The finding showed that BMI level was high in 55% of participants, Waist-height ratio over the average level was 46.67% and 21% of participants had a visceral fat area on risk. Linear regression analysis showed a strong association among body mass index, percentage of body fat, visceral fat area, waist circumference, waist-hip ratio,and waist-height ratio and statistically significant to each other at the 0.01 level. Conclusion: The selected anthropometric measurements can be used to identify health-related risks. Though, when any anthropometric measurement dichotomized as standard or high, BMI is the best measure to predict health risk.

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