Assessment Of Body Mass Index (BMI) Z-scores After One Year Of A ...

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Abigail D. Gilman, Emily N. Werner, Brianna D. Higgins, Dorothy Hanrahan, ... School-based interventions may positively influence body mass index (BMI) ...
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Board #155

June 4, 8:00 AM - 9:30 AM

Assessment Of Body Mass Index (BMI) Z-scores After One Year Of A School-based Health Intervention Abigail D. Gilman, Emily N. Werner, Brianna D. Higgins, Dorothy Hanrahan, Kristen Kochenour, Patricia A. Shewokis, Stella L. Volpe, FACSM. Drexel University, Philadelphia, PA. (Sponsor: Stella Lucia Volpe, FACSM) Email: [email protected] (No relationships reported)

Approximately 17% of children in the United States, 2 to 19 years of age, are obese. Additionally, 41% of children, 6 to 17 years of age, in Philadelphia are obese or overweight. School-based interventions may positively influence body mass index (BMI) z-scores toward the age and sex-adjusted mean. PURPOSE: To assess change in BMI z-scores in elementary school students during the second year of a multi-year, ecological school-based health intervention, compared to students in control schools. METHODS: These data were collected from 317 students, enrolled in the fifth grade, of four intervention schools (n=202) and four control schools (n=115). The intervention included programs focused on improving nutritional intake and increasing physical activity, provided on a weekly basis. Height and body weight measurements were collected at the beginning and end of the school year. Body mass index z-scores were calculated using the World Health Organization calculations. RESULTS: BMI z-scores (± standard deviation) at baseline were 0.85±1.3 for intervention schools and 1.1±1.5 for control schools (p=0.12). Post-intervention (after one year) BMI z-scores were 0.83±1.3 for the intervention schools and 1.1±1.4 for the control schools (p=0.09). CONCLUSIONS: The intervention schools had a slight decline in their BMI z-scores, while the control schools had no change; however, there were no significant differences between the intervention and control schools. Although no significant changes were reported, there was a trend (p=0.09) for the intervention schools to decrease mean BMI zscores. Assessment of BMI z-scores from additional years of this multi-year intervention may reveal more information about the change in BMI z-scores. Funding was provided by the Independence Blue Cross Foundation.

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Board #156

June 4, 8:00 AM - 9:30 AM

Profile Of Nutritional Status Of Children And Adolescents From Bogota, Colombia: The Fuprecol Study Lorena Benavides Rodríguez, Adalberto Palacios-López, Monica Liliana Ojeda-Pardo, Jhonatan C. Peña, Jorge Enrique Correa-Bautista, Robinson Ramírez-Vélez. Universidad del Rosario, Bogotá D.C, Colombia. Email: [email protected] (No relationships reported)

PURPOSE: This study aimed to analize the nutritional status among Colombian children and adolescents and to determine the relationship between the nutritional status according to the body mass index (BMI) and the waist circumference (WC). METHODS: A cross-sectional study was conducted in 6,383 children and adolescents with age of 9 to 17.9 years old from Bogota, Colombia. Participants completed the “Krece Plus” questionnaire validated by the “enKid study” as an indicator of the nutritional level with the following categories: high (test ≥ 9), medium (test 6-8) and low (test ≤ 5). Other measures were: weight, height, WC and BMI as markers of the nutritional status. RESULTS: Overall, 57.9% of the participants were girls (mean age 12.7±2.3 years old). The nutritional status was low without large differences by sex and decreasing by age. In all categories of BMI, over 50% of boys and girls follow lower-quality diet, shown progressively worse with advancing age. In both sexes, trends were observed between low nutritional level with the development of overweight. Also, WC was associated with a lower score in the “Krece Plus” in both sexes. CONCLUSIONS: The low nutritional level is related to changes in the nutritional status (WC and BMI) in scholars from Bogota. These findings may encourage further interventions for the improvement of nutritional habits among scholars from Colombia. Funding COLCIENCIAS (Contract Nº 671-2014 Code 122265743978).

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Board #157

June 4, 8:00 AM - 9:30 AM

Determining the Influence of Sex on Body Mass Index in Older Adults Edward T. Kelley1, Amy L. Morgan, FACSM2, Mary-Jon Ludy2. 1University of Southern Mississippi, Hattiesburg, MS. 2Bowling Green State University, Bowling Green, OH. (Sponsor: Amy L. Morgan, FACSM) Email: [email protected] (No relationships reported)

In the United States over 82 million Americans, or approximately 26% of the population, are age 50 and older. The National Health and Nutrition Examination Survey (NHANES) estimates the prevalence of obesity in this group to be 32.6%. Most healthcare providers, including the NHANES, rely upon Body Mass Index (BMI) as a primary identifier of obesity-related health risk. PURPOSE: To determine the influence that sex has on the validity of BMI when indicating obesity status in older men and women. METHODS: Subjects’ were 52 healthy males (n=19) and females (n=33) age 50-69 years old (57.6±5.2) residing in a Midwest area. Subject’s height and weight were measured using a stadiometer and calibrated electronic scale. From this data, BMI was calculated as kg/m2 (M: 29.0±5.4; F: 26.7±6.3). Subjects also completed a body composition analysis using air-displacement plethysmography (ADP) (M: 27.8±6.3%; F: 35.9±8.8%). Percent fat estimated by ADP (%fat) was used as the criterion measure of body composition in this investigation. BMI classification (based on NIH criteria) was compared to sex-specific %fat classifications (Gallagher et al., 2000). The sex-specific accuracy of BMI classification was calculated. Additionally, sensitivity and specificity were calculated to illustrate the validity of obesity classifications based on BMI. RESULTS: Based on comparisons between BMI and percent fat, accuracy among male subjects was 58% and among female subjects was 94%. In males, the results from BMI had a sensitivity of 0.50 and a specificity of 0.63. In females, the results had a sensitivity of 0.89 and a specificity of 0.96. Additionally, 42% of males were misclassified and 6% of females were misclassified using BMI. CONCLUSIONS: In this study, results from BMI appear to better indicate obesity classification in females compared to males. BMI was found to be both sensitive and specific in the determination of obesity in females age 50-69. However, in males, BMI was found to lack strong sensitivity and specificity indicating that this measure may not be the most appropriate tool for males in this age-group. These findings may support the need for sex-specific BMI classification criteria in adults 50-69 years of age.

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