Accuracy of Adolescent Self-report of Height and Weight in Assessing Overweight Status

Sherry, Bettylou

doi:10.1001/archpedi.161.12.1154

Cited by 358 publications

(378 citation statements)

References 20 publications

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“…Self-reported or parent-reported anthropometrics would have been prone to errors and underreporting (Goodman et al, 2000;Sherry et al, 2007). Many lifestyle-related health behaviors were studied, and therefore, we were able to study the association between many health behaviors and WC or WHtR simultaneously.…”

Section: Discussionmentioning

confidence: 99%

Health behaviors, waist circumference and waist-to-height ratio in children

et al. 2011

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Background: Waist circumference (WC) and waist-to-height ratio (WHtR) begin to gain attention as measures of adiposity and as important cardiometabolic disease risk factors also among children. Still, little research has been done on behavioral determinants of WC and WHtR in children. The purpose of this study was to examine associations between health behaviors, WC and WHtR in children. Methods: The study was a cross-sectional study conducted in Swedish-speaking schools in Helsinki region in 2006. In all, 1146 children were recruited, from which 55 % took part in the study. A total of 604 9-11-year-old children (312 girls, 292 boys) were measured by research staff and completed a study questionnaire on their health behaviors, including breakfast intake, TV viewing, sleep duration and physical activity, and a 16-item food frequency questionnaire. Covariance analysis was used as the statistical analysis method. Results: When controlling for other health behaviors, for example, irregular breakfast (B-coefficient 2.49 CI, 0.64-4.34; Po0.01), TV viewing (B-coefficient 0.89 CI, 0.17-1.61; Po0.05), a TV in child's room (B-coefficient 2.30 CI, 0.73-3.86; Po0.01) and physical inactivity during school breaks (B-coefficient 0.78 CI, 0.19-1.37; Po0.01) were associated with larger WC. Results were similar with WHtR. Conclusions: Many health behaviors were related to children's WC and WHtR. Determinants were associated to both WC and WHtR similarly.

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Section: Discussionmentioning

confidence: 99%

Health behaviors, waist circumference and waist-to-height ratio in children

et al. 2011

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“…In some cases, self-reported data may be all that exist, so it is important to understand when and how such data might be used appropriately. 62 …”

Section: Self-reported Height Weight and Bmimentioning

confidence: 99%

“…64,70,71 A slightly different concern about young adolescents is that they are often unable or decline to report their heights and weights. 62,72 In a study based on US national-level data, 41% of 12-year-olds and 25% of 13-year-olds had missing data for weight. 64 These rates compared with 4% missing reported weights in 15-and 16-year olds.…”

Section: Measurement Reliabilitymentioning

confidence: 99%

“…Several different sources of bias in self-reports of height and weight have been investigated, and they were recently reviewed for studies on US adolescents. 62 For our discussion, it is important to recognize that the mean values of selfreported height are usually overestimated by ϳ1 to 2 cm, and mean self-reported weight is usually underestimated by 2 to 4 kg, especially so in girls. 62,72 Thus, with overestimated height and underestimated weight, mean BMI values calculated from the self-reported data are usually less by 2 to 3 BMI units (kg/m 2 ) than if they were measured.…”

Section: Measurement Biasmentioning

confidence: 99%

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Challenges of Accurately Measuring and Using BMI and Other Indicators of Obesity in Children

2009

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BMI is an important indicator of overweight and obesity in childhood and adolescence. When measurements are taken carefully and compared with appropriate growth charts and recommended cutoffs, BMI provides an excellent indicator of overweight and obesity that is sufficient for most clinical, screening, and surveillance purposes. Accurate measurements of height and weight require that adequate attention be given to data collection and management. Choosing appropriate equipment and measurement protocols and providing regular training and standardization of data collectors are critical aspects that apply to all settings in which BMI will be measured and used. Proxy measures for directly measured BMI, such as self-reports or parental reports of height and weight, are much less preferred and should only be used with caution and cognizance of the limitations, biases, and uncertainties attending these measures. There is little evidence that other measures of body fat such as skinfolds, waist circumference, or bioelectrical impedance are sufficiently practicable or provide appreciable added information to be used in the identification of children and adolescents who are overweight or obese. Consequently, for most clinical, school, or community settings these measures are not recommended for routine practice. These alternative measures of fatness remain important for research and perhaps in some specialized screening situations that include a specific focus on risk factors for cardiovascular or diabetic disease. ]) has probably become the most common indicator used to assess overweight and obesity in a wide variety of settings, including clinical, public health, and community-based programs. Although it is certainly not a perfect surrogate for total body fatness and not without its technical limitations, 1 BMI has been recommended as the most appropriate single indicator of overweight and obesity in children and adolescents outside of research settings. [2][3][4] One of the attractive features of BMI is that it is derived from measurements of height and weight. These 2 anthropometric dimensions are the ones most commonly collected on children worldwide. These 2 measurements are noninvasive, relatively inexpensive to obtain, and relatively easily understood by health practitioners, the individuals being measured, and their families.Mentioning child measurements of height and weight, individuals may be reminded of their own marks on the door sills and the bathroom scales of their childhood homes. So, although wide familiarity with height and weight enhances the use and understanding of a measure such as BMI, it also may desensitize health professionals to the need to give adequate attention to issues concerning how height and weight data are collected. Accordingly, one may hear the comment, "Anyone can measure height and weight." Although one must actually agree with the language, if not the intent, of this easy declaration, many health professionals are unaware that there are consequences for the usefulness and ac...

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“…35 Studies that analyzed weight outcomes also generally relied on self-reported height and weight, which can be misreported. 36 To address these limitations, this longitudinal study was designed to estimate the association between independently coded state laws governing competitive food nutrition content and withinstudent change in BMI and weight status,based onobjectiveheight and weight data collected from adolescents in 40 states. We estimated the association between baseline state laws and student weight change, aswell as the association between changes in state laws over time and student weight change.…”

mentioning

confidence: 99%

Weight Status Among Adolescents in States That Govern Competitive Food Nutrition Content

Taber¹,

Chriqui²,

et al. 2012

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WHAT'S KNOWN ON THIS SUBJECT: Policies that govern nutrition standards of foods and beverages sold outside of federal meal programs ("competitive foods") have been associated with adolescent weight status in a small number of cross-sectional studies and pre-post analyses in individual states. WHAT THIS STUDY ADDS:This longitudinal analysis of 6300 students in 40 states provides evidence that state competitive food laws are associated with lower within-student BMI change if laws contain strong language with specific standards and are consistent across grade levels. (2003) and within-student changes in BMI, overweight status, and obesity status. Fixed-effect models estimated the association between law changes during follow-up (2003)(2004)(2005)(2006) and within-student changes in BMI and weight status.RESULTS: Students exposed to strong laws at baseline gained, on average, 0.25 fewer BMI units (95% confidence interval: 20.54, 0.03) and were less likely to remain overweight or obese over time than students in states with no laws. Students also gained fewer BMI units if exposed to consistently strong laws throughout follow-up (b = 20.44, 95% confidence interval: 20.71, 20.18). Conversely, students exposed to weaker laws in 2006 than 2003 had similar BMI gain as those not exposed in either year. CONCLUSIONS:Laws that regulate competitive food nutrition content may reduce adolescent BMI change if they are comprehensive, contain strong language, and are enacted across grade levels. Pediatrics 2012;130:437-444 AUTHORS:

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Accuracy of Adolescent Self-report of Height and Weight in Assessing Overweight Status

Cited by 358 publications

References 20 publications

Health behaviors, waist circumference and waist-to-height ratio in children

Health behaviors, waist circumference and waist-to-height ratio in children

Challenges of Accurately Measuring and Using BMI and Other Indicators of Obesity in Children

Weight Status Among Adolescents in States That Govern Competitive Food Nutrition Content

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