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      Measuring the bias, precision, accuracy, and validity of self-reported height and weight in assessing overweight and obesity status among adolescents using a surveillance system

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          Abstract

          Background

          Evidence regarding bias, precision, and accuracy in adolescent self-reported height and weight across demographic subpopulations is lacking. The bias, precision, and accuracy of adolescent self-reported height and weight across subpopulations were examined using a large, diverse and representative sample of adolescents. A second objective was to develop correction equations for self-reported height and weight to provide more accurate estimates of body mass index (BMI) and weight status.

          Methods

          A total of 24,221 students from 8th and 11th grade in Texas participated in the School Physical Activity and Nutrition (SPAN) surveillance system in years 2000–2002 and 2004–2005. To assess bias, the differences between the self-reported and objective measures, for height and weight were estimated. To assess precision and accuracy, the Lin’s concordance correlation coefficient was used. BMI was estimated for self-reported and objective measures. The prevalence of students’ weight status was estimated using self-reported and objective measures; absolute (bias) and relative error (relative bias) were assessed subsequently. Correction equations for sex and race/ethnicity subpopulations were developed to estimate objective measures of height, weight and BMI from self-reported measures using weighted linear regression. Sensitivity, specificity and positive predictive values of weight status classification using self-reported measures and correction equations are assessed by sex and grade.

          Results

          Students in 8 th- and 11 th-grade overestimated their height from 0.68cm (White girls) to 2.02 cm (African-American boys), and underestimated their weight from 0.4 kg (Hispanic girls) to 0.98 kg (African-American girls). The differences in self-reported versus objectively-measured height and weight resulted in underestimation of BMI ranging from -0.23 kg/m 2 (White boys) to -0.7 kg/m 2 (African-American girls). The sensitivity of self-reported measures to classify weight status as obese was 70.8% and 81.9% for 8 th- and 11 th-graders, respectively. These estimates increased when using the correction equations to 77.4% and 84.4% for 8 th- and 11 th-graders, respectively.

          Conclusions

          When direct measurement is not practical, self-reported measurements provide a reliable proxy measure across grade, sex and race/ethnicity subpopulations of adolescents. Correction equations increase the sensitivity of self-report measures to identify prevalence of overall overweight/obesity status.

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          Most cited references25

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          Prevention of pediatric overweight and obesity.

          The dramatic increase in the prevalence of childhood overweight and its resultant comorbidities are associated with significant health and financial burdens, warranting strong and comprehensive prevention efforts. This statement proposes strategies for early identification of excessive weight gain by using body mass index, for dietary and physical activity interventions during health supervision encounters, and for advocacy and research.
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            Accuracy of adolescent self-report of height and weight in assessing overweight status: a literature review.

            To examine the accuracy of self-reported height and weight data to classify adolescent overweight status. Self-reported height and weight are commonly used with minimal consideration of accuracy. Eleven studies (4 nationally representative, 7 convenience sample or locally based). Peer-reviewed articles of studies conducted in the United States that compared self-reported and directly measured height, weight, and/or body mass index data to classify overweight among adolescents. Self-reported and directly measured height and weight. Overweight prevalence; missing data, bias, and accuracy. Studies varied in examination of bias. Sensitivity of self-reported data for classification of overweight ranged from 55% to 76% (4 of 4 studies). Overweight prevalence was -0.4% to -17.7% lower when body mass index was based on self-reported data vs directly measured data (5 of 5 studies). Females underestimated weight more than males (ranges, -4.0 to -1.0 kg vs -2.6 to 1.5 kg, respectively) (9 of 9 studies); overweight individuals underestimated weight more than nonoverweight individuals (6 of 6 studies). Missing self-reported data ranged from 0% to 23% (9 of 9 studies). There was inadequate information on bias by age and race/ethnicity. Self-reported data are valuable if the only source of data. However, self-reported data underestimate overweight prevalence and there is bias by sex and weight status. Lower sensitivities of self-reported data indicate that one-fourth to one-half of those overweight would be missed. Other potential biases in self-reported data, such as across subgroups, need further clarification. The feasibility of collecting directly measured height and weight data on a state/community level should be explored because directly measured data are more accurate.
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              Reliability and validity of self-reported height and weight among high school students.

              To assess the reliability and validity of self-reported height and weight, and variables calculated from these values, in a diverse sample of adolescents. A convenience sample of students (n = 4619) in grades 9 through 12 reported their height and weight on two questionnaires administered approximately 2 weeks apart. Using a standard protocol, a subsample of these students (n = 2032) also were weighed and had their height measured following completion of the first questionnaire. Self-reported heights at Time 1 and Time 2 were highly correlated, and the mean difference between height at Time 1 and Time 2 was small. Results were similar for self-reported weight at Time 1 and Time 2 and body mass index (BMI) calculated from these values. Although self-reported values of height, weight, and BMI were highly correlated with their measured values, on average, students overreported their height by 2.7 inches and underreported their weight by 3.5 pounds. Resulting BMI values were an average of 2.6 kg/m(2) lower when based on self-reported vs. measured values. The percentages of students classified as "overweight" or "at risk for overweight" were therefore lower when based on self-reported rather than on measured values. White students were more likely than those in other race/ethnic groups to overreport their height, and the tendency to overreport height increased by grade. Female students were more likely than male students to underreport their weight. Self-reported height, weight, and BMI calculated from these values were highly reliable but were discrepant from measured height, weight, and BMIs calculated from measured values. BMIs based on self-reported height and weight values therefore underestimate the prevalence of overweight in adolescent populations.
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                Author and article information

                Contributors
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central
                1479-5868
                2015
                27 July 2015
                : 12
                : Suppl 1
                : S2
                Affiliations
                [1 ]Michael & Susan Dell Center for Healthy Living, The University of Texas School of Public Health Austin Regional Campus, 1616 Guadalupe St., Austin, TX 78701, USA
                [2 ]Department of Biostatistics, The University of Texas Health Science Center at Houston, (UTHEALTH), School of Public Health, 1616 Guadalupe, Suite 6.300, Austin, TX, 78701, USA
                [3 ]Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston(UTHEALTH), School of Public Health, 1616 Guadalupe, Ssuite 6.300, Austin, TX, 78701, USA
                [4 ]Medical Research Specialist, Office of Program Decision Support, Family & Community Health Services, Texas Department of State Health Services, MC 1922, 1100 W. 49TH Street, Austin, TX 78756, USA
                [5 ]Department of Health Promotion and Behavioral Sciences, the University of Texas Health Science Center at Houston(UTHEALTH), School of Public Health, 1616 Guadalupe, Suite 6.300, Austin, TX, 78701, USA
                Article
                1479-5868-12-S1-S2
                10.1186/1479-5868-12-S1-S2
                4659321
                26222612
                72d0ada8-18cc-427d-a710-7b94b4e5710c
                Copyright © 2015 Pérez et al.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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                Categories
                Research

                Nutrition & Dietetics
                children,youth,body mass index,correction equations,weighted linear regression

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