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The Body Mass Index Silhouette Matching Test (BMI-SMT) assesses body image satisfaction and perceptions using four silhouettes with normative heights and BMIs (18,24,30, and 36 body mass index) as anchor points along a continuum ranging from a BMI of 14 to 40. The BMI-SMT provides the researcher with 6 data points for analysis: self-reported actual BMI, perceived current BMI, perceived ideal BMI, actual weight, perceived current weight, and ideal weight. The BMI-SMT can be administered in-person or online to adolescents or adults and is free to use in any setting. Development of the BMI-SMT and instructions on its use and analysis are provided. Test-retest reliability and validity assessments support use of the BMI-SMT as an effective means of assessing perceptions of current and ideal body images. Analysis of data provides a unique metric to translate BMI-SMT scores into pounds utilizing a metric conversion formula. Information on costs, availability, contact information and copyright are provided.
The aim of the current meta-analysis was to evaluate the accuracy of using BMI based on self-reported height and weight (BMIsr) to estimate the prevalence of overweight and obesity among children and adolescents.
Design
A systematic literature search was conducted to select studies that compared the prevalence rates of overweight and obesity based on BMIsr and BMIm (BMI based on measured height and weight). A random-effect model was assumed to estimate summary prevalence rates and prevalence ratio (PR).
Results
Thirty-seven studies were included. The aggregated prevalence of overweight and obesity based on BMIsr (0·190, 95 % CI 0·163, 0·221) was significantly lower than that based on BMIm (0·233, 95 % CI 0·203, 0·265). The pooled mean PR was 0·823 (95 % CI 0·775, 0·875). Moderator analyses showed that the underestimation was related to gender, age, weight status screened (overweight v. obesity) and weight status screening tool.
Conclusions
BMIsr may produce less biased results under some conditions than others. Future researchers using BMIsr may consider these findings and avoid the conditions that could lead to more severe underestimation of the prevalence of overweight and obesity among children and adolescents.
The rapid increase in obesity rates over recent years suggest that cultural and societal influences are affecting the adjustment in the energy balance equation in addition to other physiopathological or genetic determinants. Therefore, a pan-EU study was carried out to explore the influence of sociodemographic factors as well as some attitudes (smoking and exercise) on the prevalence of obesity in the adult population of all 15 member states of the EU.
Design
Overall, a sample of 15 239 individuals aged 15 years and upwards in the EU completed the questionnaire. Subject selection was quota-controlled to make the sample nationally representative following a multistage stratified cluster sampling. Self-reported height and weight were used to calculate body mass index (BMI).
Results
From the EU average results, it can be seen that only about half of the EU population (48%) is within the normal weight range, while the obesity (BMI > ≥ 30 kg m−2) prevalence was about 10% in the EU and the overweight prevalence was 36.6% and 25.6% among men and women, respectively. UK subjects had the highest prevalence of obesity (12%), while Italians, French and Swedes had the lowest levels of obesity (about 7%). Concerning age and social class interactions, logistic regression analysis showed that high social class and younger individuals in all groups had a lower odds ratio for obesity prevalence. People with a higher level of education are less likely to be obese, while the interaction between educational levels and obesity was different for men and women. A low participation in various leisure-time physical activities, the lack of interest (precontemplation) in being involved in exercise/physical activity and the increasing number of hours sitting down at work appear to be predictors of obesity. Single individuals were less prone to become obese than couples or widowed/divorced people. Finally, smoking status was statistically linked to the prevalence of obesity, since non-smokers or ex-smokers for more than 1 year presented a higher tendency for a BMI > 30.
Conclusions
This survey confirms that a priority area for health intervention aimed at preventing the development of obesity should be to increase levels of physical activity, although the approach will depend on the population, especially with respect to educational and socioeconomic aspects.
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