Percent body fat and BMI for all patients.

<p>Percent body fat and BMI for all patients.</p

BMI versus Percent Body Fat in Scatter Plot.

<p>Women (red) who fall above red line are obese according to American Society of Bariatric Physicians criteria (DXA percent body fat: ≥30%). Men (blue) who fall above blue horizontal line are obese according to American Society of Bariatric Physicians criteria (DXA percent body fat: ≥25%). The upper left quadrant bordered by red horizontal line (body fat percent = 30%) and black vertical line (BMI = 30) demonstrates large number of women misclassified as “non-obese” by BMI yet “obese” by percent body fat.</p

Summary statistics for various BMI cut-off values predicting obesity as defined by percent body fat of >25% for men and >30% for women.

<p>PPV = positive predictive value; NPV = negative predictive value.</p

Receiver Operating Characteristic (ROC) Curve for Using BMI to Predict Obesity for Women.

<p>The area under the curve increases when stratified by sex. Numbers indicate the BMI cutoff value that corresponds to sensitivity/specificity along ROC curve. The BMI cutoff value that maximizes sensitivity and specificity is 24 for females (79% sensitivity and 87% specificity) and 28 for males (72% sensitivity and 83% specificity).</p

BMI score adjustment based on female's leptin level and age to optimize the estimate of percent body fat.

<p>BMI score adjustment based on female's leptin level and age to optimize the estimate of percent body fat.</p

Summary of study population.

*<p>Men were classified as non-obese based on a percent body fat <25% and obese for ≥25%; women were classified as non-obese based on a percent body fat <30% and obese for ≥30% (n = 1,393).</p><p>Blood pressure unknown for nine men and ten women.</p><p>Pulse unknown for 19 men and 25 women.</p><p>Cigarette use unknown for 49 men and 76 women.</p><p>Alcohol use unknown for 57 men and 85 women.</p><p>Leptin level unknown for 332 men and 450 women.</p><p>Insulin level unknown for 204 men and 397 women.</p

Comparison of Mean Leptin and Mean Insulin Across Percent Body Fat Categories.

<p>There is strong relationship between increased leptin and increased percent body fat, and no relationship between insulin and percent body fat. Error bars represent 95% confidence intervals for mean.</p

Percent Misclassified as Non-obese by BMI Statified by Age, and Sex (n = 539).

<p>Women demonstrate clear correlation between advancing age and increasing percent misclassification, with over half misclassified by age 60–69. This association is not apparent for men.</p

Means, SDs, and t-tests of HM <i>vs.</i> NM subjects.

*<p>TOVA = Test of Variables of Attention; MMSE = Mini-Mental State Exam; CNSM = Memory score from the CNS Vital Signs Test.</p

Amnestic <i>vs.</i> Nonamnestic in NM and HM patients.

*<p>The majority of hypometabolic patients were found to be multi domain according to the MCI Domain Assessment.</p