Associations of self-esteem with body mass index and body image among Saudi college-age females.

PURPOSE: To examine the association of self-esteem with the body mass index (BMI), perceived body image (BI), and desired BI of college-age Saudi females. METHODS: A cross-sectional study was conducted with 907 randomly selected females using a multistage stratified cluster sampling technique. Self-esteem and BI were assessed using the Rosenberg Self-Esteem Scale and Stunkard Figure Rating Scale, respectively. RESULTS: The prevalence of low self-esteem was only 6.1% among college females; however, this percentage was higher (9.8%) among overweight or obese participants. The total self-esteem scores showed significant negative correlations with actual BMI and perceived BI, but not with desired BI. Meanwhile, multivariate analyses revealed significant differences in total self-esteem scores according to obesity/overweight status and perceived BI group, but not desired BI group. CONCLUSION: Despite the high prevalence of overweight and obesity in Saudi Arabia, few Saudi college females have low self-esteem. In addition, body weight, BMI, perceived BI, and the BMI corresponding to the perceived BI all significantly differed between females with low self-esteem and those with normal self-esteem. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.

Body Size Misperception and Overweight or Obesity among Saudi College-Aged Females.

The aim of the study was to investigate the associations between perceived and desired body size and overweight and obesity among college-aged females. A multistage stratified cluster random sample was used to select 907 healthy females from a major Saudi public university. The Stunkard Figure Rating Scale (FRS) was used for body size assessment. Overweight/obesity classification was based on BMI less than or equal to/greater than 25 kg/m2. Overweight plus obesity prevalence was 28.1%. There were significant differences between females with overweight/obesity and those without overweight/obesity in both perceived and desired body size scores. Compared with only 4% of females without overweight/obesity, 37% of the participants with overweight/obesity scored higher than five (median) in the FRS. The perceived body size correlated more strongly with many of the selected variables than did the desired body size, especially with BMI (r=0.679; p < 0.001), body weight (r=0.652; p < 0.001), and weight loss attempts (r=0.466; p < 0.001). Also, there was a significant relationship between BMI and weight loss attempts (r=0.370; p < 0.001). BMI and weight loss attempts appear to predict the perceived body size and the discrepancy between perceived and desired body size scores. Psychosocial and lifestyle factors that might influence female's body misperception need to be addressed in future studies.

Validity of algorithm for estimating left sided filling pressures on echocardiography in a population referred for pulmonary arterial hypertension.

The determination of LV filling pressure is integral to the diagnosis of pulmonary arterial hypertension (PAH). The American Society of Echocardiography (ASE) has devised algorithms for their estimation. We aimed to test these algorithms in a population referred for suspected PAH. In our retrospective study, we evaluated the accuracy of the ASE Algorithms compared to right heart catheterization done within three months, in patients seen during 2006-2014. All echocardiograms were classified as showing normal, elevated or indeterminate filling pressures. Those with indeterminate pressures were excluded. We evaluated the diagnostic properties of this algorithm to predict a pulmonary artery wedge pressure (PAWP) and left ventricular end diastolic pressure (LVEDP) >15 mmHg. A total of 94 patients were included. The ASE algorithms yielded indeterminate results in 50 (53.2%) patients. This occurred more commonly in older patients and patients with cardiovascular comorbidities. The algorithm had a high sensitivity for predicting an elevated PAWP at 89.5% (95% confidence interval [CI] = 66.9-98.7) and an elevated LVEDP at 100% (95% CI = 76.8-100). The algorithm had a negative predictive value of 81.8% and 100% for predicting an elevated PAWP (95% CI = 52.4-94.8) and LVEDP, respectively, but a poor positive predictive value. The ASE algorithm for predicting LV filling pressures often cannot be applied in populations with suspected PAH. When they are interpretable, they have a high negative predictive value for elevated PAWP and LVEDP. We recommend caution when using these algorithms in populations with suspected PAH.