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Body mass index reliability and validity: Is BMI a Valid Indicator of Overweight and Obesity for Adolescents?

For example, one indicator could consistently over- or underestimate from the true values for the predictor variable but could have the same correlation coefficient.

William Thompson
Thursday, September 26, 2019
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  • The main limitation of this study relates to the cut-offs of body fat percentage that were used to identify overweight and obesity among adolescents.

  • Body mass index, waist circumference, and health risk: evidence in support of current National Institutes of Health guidelines. It correlates to some degree with more accurate measurements, such as bioimpedance scales and DEXA X-ray scans, but can overestimate or underestimate fatness in certain populations.

  • Public Health Nutr. A second explanation may be the higher tendency of people with lower aerobic fitness to underestimate their weight [ 29 ].

1. Introduction

Bland M. Vital Health Stat 1 ; 32 : 1 β€” 2. Mossberg HO. Any proposed re-use of the data that are the basis of this this paper are available subject to RGE and IRB approval as described here.

BMI can't measure if you have a pear shape -- with more subcutaneous fat in your hips and thighs reliability and or an apple shape with a larger midsection. For example, rfliability indicator could consistently over- or underestimate from the true values for the predictor variable but could have the same correlation coefficient. Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis. Skinfolds and body density and their relation to body fatness: a review. Accuracy of self-reported height and weight in women: an integrative review of the literature.

Gosse M. Validity of BMI based on self-reported weight and height in adolescents. We obtained self-reported height body mass index reliability and validity weight and validuty measures height, weight and the proportion of fat as the criterion measure measured via bioimpedance body composition analysis BIA with an InBody from the adolescents. One of the primary advantages of using BMI in population health research is not only its centrality to key biological pathways leading to crucial health outcomes, but also that it is relatively straightforward to measure. Temporal trends in misclassification patterns of measured and self-report based body mass index categories-findings from three population surveys in Ireland. Effects of static magnetic fields on cognition, vital signs, and sensory perception: a meta-analysis.

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Characteristic and age. Metrics details. The validation of simple, low-cost height- and weight-based indexes to assess both body fatness and thinness is of practical importance for routine clinical evaluation of body composition. Br J Nutr. However, other data showed that the 85th percentile of BMI predicts children at risk of developing obesity 49 and identified children with additional risk factors for cardiovascular disease

Select Format Select format. For men, average values of height C and height D are Accuracy of dual-energy x-ray absorptiometry for body-composition measurements in children. Among women, Total fat-free mass.

  • Effects of static magnetic fields on cognition, vital signs, and sensory perception: a meta-analysis. PubMed Article Google Scholar

  • In the obese category, it is further divided into

  • Accepted : 03 January The concurrent validity for meeting the food guide recommendations identified that meats and alternatives ICC 0.

  • About this article.

  • In addition, BMI may be more useful at predicting future rather than current health.

  • Public Health Nutr. The test-retest reliability for self-reported dietary intake for fruits and vegetables ICC 0.

Methods: An audit was undertaken in a invex district general hospital in the South West of England. Descriptive characteristics of the sample are presented in Table 1. Forbes GB. Conversely, younger women, on average, underestimate their weight on the driver license to a greater extent than older women, with those between the ages of 25 and 34 reporting weight D values that are, on average, 6.

Conclusions Data on height body mass index reliability and validity weight from driver license data can be a useful asset for monitoring population health in states where such information is collected, despite the degree of misreporting associated with self-report. Huber LRB. For example, objective measures of height and weight require active consent procedures and the time of a trained researcher, while those for dietary behaviours require costly machinery and may be considered invasive and impractical in non-clinical settings i. NCD Risk Factor Collaboration Worldwide trends in body-mass index, underweight, overweight, and obesity from to A pooled analysis of population-based measurement studies in

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Download: PPT. Nutrient intakes and food consumption patterns among Ontario students in grades six, seven, and eight. Milk and alternatives c.

Int J Eat Disord. Nutr Res Pract. The final study sample comprised 16, subjects. For men in body mass index reliability and validity normal weight, overweight and class I obesity categories, percentages of individuals classified correctly are Average height for women in our sample is We conclude that driver license height and weight data can be a useful asset for monitoring population health. Variations in BMI and prevalence of health risks in diverse racial and ethnic populations.

This finding is consistent with previous studies showing the greatest weight and BMI underestimation at higher values of BMI [ 7202223353637 ]. Measuring body fat percentage: It's an accuracy thing How important is sleep? KRS conceptualized the study and supervised the project. However, the use of most of these methods is limited to research settings because of their complexity and cost 3 β€” 7.

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Dietary Intake Time reliabiliyy and validity. Increased BMI is associated with excess health risks, including insulin resistance and hyperinsulinemia, Type II diabetes mellitus, hypertension, dyslipidemia, coronary heart disease, asthma, arthritis, gallbladder disease, several cancers, depression, as well as with increased all-cause mortality [ 12345678 ]. Figure 1. J Epidemiol Community Health. Validity of self-reported height and weight predictors of bias in adolescents.

BMI based on driver license body mass index reliability and validity allows for accurate classification of individuals for those categorized as obese, and performs similarly to clinically measured BMI as a predictor of relative risk of type II diabetes mellitus. J Clin Epidemiol. All scan images were immediately visually checked by the study personnel. Even though this influence was minimized by wearing tight-fitting underwear and a bathing cap, it could not be completely eliminated, e. No technical issues or refusal of participants occurred during the completion of the study and quality checks revealed formal plausibility of the data obtained. Public Health Nutr. The final models retained only the significant factors after a stepwise exclusion procedure.

Permissions Icon Permissions. You are now following How valid is BMI as a measure of health and obesity?. Accuracy of the estimated prevalence of obesity from self reported height and weight in an adult Scottish population. Larger relative risk estimates for the model with a categorical BMI D predictor can be partially explained by the pattern of BMI misclassification observed in the data. For this analysis, we included all records for children aged 2β€”19 y and incorporated their original sample weights.

Background

The role of fat mass index in determining obesity. According to the WHOnearly three million reliabilihy die yearly worldwide due to being overweight or obese. Pediatrics [serial online] ; : e TABLE 1 Comparison of the subject sample and the method of measurements used for the pooled data set.

  • Curr Opin Clin Nutr. Background Body mass index BMI is an important biometric measure commonly used across numerous disciplines to assess risk of many health conditions.

  • This may lead to suboptimal counselling and treatment, and may ultimately increase healthcare disparities.

  • It is important to note that during a similar study on the adult population, the high specificity and low sensitivity of BMI were also established, as more than half of people with obesity were misclassified [ 35 ].

  • Variations in BMI and prevalence of health risks in diverse racial and ethnic populations.

  • National Center for Biotechnology InformationU.

  • PubMed Article Google Scholar. To maintain the health and well-being of youth and to reduce the burden of obesity-related diseases in adulthood, early diagnosis and treatment of overweight and obesity in childhood and adolescence is urgently called for.

An effect size approach. Model 4, which analyzes BMI D shows similar results, with relative risks of 2. J Public Health. Crocker M.

Research demonstrates that individuals in general tend to overestimate their height and underestimate their weight, although the degree of discrepancy varies across different demographic categories. Body mass index reliability and validity, the effects of obesity on early puberty in boys are more contentious, and mss the development of robust biomarkers [ 37 ]. Weight Status females only. Any proposed re-use of the data that are the basis of this this paper are available subject to RGE and IRB approval as described here. While accuracy may be compromised due to recall problems or social desirability bias i. Table 2. Lung volume was either predicted from weight and height similarly to our approach [ 30 ], was measured by spirometry [ 31 ], or no adjustment was made [ 32 ].

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ISO 3-D scanning reliiability for internationally compatible anthropometric databases. Moreover, reliability and validity and self-reported BMI significantly differed in sensitivity, but not in specificity. Multiple studies highlight limitations of BMI in certain subpopulations including children, teenagers, elderly and ethnic minority patients, and suggest the use of alternative anthropometric indicators. In association with this, obesity also leads to a very high demand for healthcare and to high societal costs.

Accuracy of body mass index in body mass index reliability and validity obesity in the adult general population. The results support the use of the self-reported COMPASS weight status and dietary intake measures for use in research where objective measures are not possible. Nutrition Journal. Critical appraisal of the estimation of body composition via two- three- and four-compartment models. The comparison of the C q dietary intake responses to the online eaTracker data identified that the C q measures of dietary intake and meeting food guide recommendations demonstrated sufficient validity for use as self-reported measures in a school-based survey tool.

Matern Child Health J. The National Cancer Boy diet history questionnaire: validation of pyramid food servings. Organization Body mass index reliability and validity. A scan was repeated if the scan quality did not reach pre-defined standards, e. As height and weight on driver license are self-reported, they may be prone to reporting bias. Participation in the study was fully voluntary and anonymous with no explicit incentives provided for participation.

MedCalc for Windows: Statistics for biomedical research software manual, version 6. J Chronic Dis ; 37 : β€” The AUC test results of these 3 indexes are shown in Table 6.

As a single measure, BMI is clearly not a perfect measure of health. In addition, these validation studies focused only on the prediction of body fatness in overweight children rather than on the prediction of body fatness across children with body indfx values ranging from low to high 8 β€” 2026 β€” 2836 Am J Prev Med. An estimated 30 million people fall into this category, Dr. BMI has a high rate of false negatives, particularly among females, with nearly half of obese people being classified as normal or overweight in some studies. Yet body composition, including percent body fat or amount of muscle mass, can vary by race and ethnic group. Eating disorders, dieting, and the accuracy of self-reported weight.

Am J Public Health. Body height was taken from the above described stadiometer measurement. Pediatricians should thus combine self-reports of weight and height with measurements of these characteristics or, preferably, use other measures like body fat proportion or waist and hip proportion. Spencer E.

Conclusions Reliability and validity demonstrate that self-reported height and weight data obtained from the driver license records differ systematically from clinically measured height and weight. Oxford University Press is a department of the University of Oxford. Public Health Nutr. Percentage body fat. Women between the ages of 16 and 24 are also the only category, for whom the difference between average clinical and self-reported height values is not statistically significant. Villanueva EV. Excess deaths associated with underweight, overweight, and obesity.

Measuring body fat percentage: It's an accuracy thing How important is sleep? J Bone Miner Res ; 7 : β€” BMI tends to be used in large-scale population research and surveys as it can be calculated from height and weight, either self-reported or taken quickly and non-invasively by a researcher. Google Scholar.

  • A scan was repeated if the scan quality did not reach pre-defined standards, e. Availability of driver's license master lists for use in government-sponsored public health research.

  • Accuracy of dual-energy x-ray absorptiometry for body-composition measurements in children.

  • The validity of self-reported weight in US adults: a population based cross-sectional study. Planning for the worst: Estimates of obesity and comorbidities in school-age children in

  • Research suggests that BMI alone frequently misclassifies metabolic health, which is linked to how much fat a person has and how it is distributed. The disease burden associated with overweight and obesity.

Mossberg HO. Objective: The objective was to validate the performance of age- and sex-specific body mass index BMI compared with the Rohrer index RI and weight-for-height in screening for both underweight and overweight in children aged y. Model 4, which analyzes BMI D shows similar results, with relative risks of 2. Am J Clin Nutr ; 63 : β€” 8. Acknowledgements Not applicable. Indices of overweight derived from body weight and height.

Am J Clin Nutr indeex 59 : β€” 9. This category also has the highest negative predictive value: Mossberg HO. DXA, dual-energy X-ray absorptiometry. Despite the discrepancy, BMI based on self-reported height and weight allows for accurate categorization of individuals at the higher end of the BMI scale, such as the obese.

Health Canada, Prev Med. Download citation. Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error.

Research suggests that BMI alone frequently misclassifies metabolic health, which is linked to how much fat a person has and how it is distributed. J Pediatr ; : β€” 3. Am J Clin Nutr ; 63 : β€” 8. Download PDF. Epidemiology of childhood overweight: a national perspective. Among women, Effects of aerobic exercise on gut microbiota in adolescents with subthreshold mood syndromes and healthy adolescents: A week, randomized controlled trial.

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Traditionally, body fatness has been estimated from measurements of skinfold thicknesses, which correlate reasonably well with body fatness. Int J Obes Lond. They reported high positive correlations for both height and weight reported on the driver license and when measured during the study, despite the average discrepancies of 0. The receiver operating characteristic curve was used to characterize the sensitivity and specificity of these 3 indexes in classifying both underweight and overweight. Although the degree of misreporting varies, men tend to overestimate their height and underestimate their weight on driver license regardless of age group, which results in consistently lower values of BMI D compared to BMI C. This does not mean to imply that the rate of change in body fat and body lean was constant, only that the patterns of change in each tended to be similar 38 β€” 42eg, as TFM decreased or increased, TFFM tended to decrease or increase as well.

Given that eating patterns and food choices fluctuate day-to-day, it is to be expected that there would be some variability in self-reported dietary behaviours of youth between weeks and days and that reports would not be as robust as for weight status measures [ 29 ]. Issues in dietary intake assessment of children and adolescents. Similar graphical findings were also reported in a study by Wang et al. Individuals, on average, tend to overestimate their height and underestimate their weight.

As with most measures of health, BMI is not an perfect test. While the test-retest reliability of the measures used in this study were all high, the validity of the measures was considered acceptable. BMC Public Health. Those who are healthy and overweight or obese are more likely to develop diabetes or other negative health consequences over time, according to studies such as this one and this one.

A normal measurement falls between In addition, BMC Public Health. Obesity as defined by alternate means BMI is not the only measurement of obesity, although it is the most commonly used.

  • For example, the study mentioned validty did not consider conditions that might also be relevant to an individual with an elevated BMI, such as liver disease or arthritis. However, there is little reason to believe that high school students in Ontario would respond differently to the survey than respondents in other jurisdictions.

  • Abstract Background: Obesity is increasing in the UK and this is having an impact on the health of pregnant women and their infants. Oxford University Press is a department of the University of Oxford.

  • A Belgian study on the reliability and relative validity of the Health Behaviour in School-Aged Children food-frequency questionnaire.

  • Effects of aerobic exercise on gut microbiota in adolescents with subthreshold mood syndromes and healthy adolescents: A week, randomized controlled trial.

Prev Med ; 22 : β€” The role of fat mass index in determining obesity. Br J Prev Soc Med ; 21 : β€” 8. For this analysis, we included all records for children aged reliability and validity y and incorporated their original sample weights. In both Model 3 and Model 4, underweight individuals have lower relative risks of type II diabetes compared to the reference category. In general, BMI-for-age had a relatively higher sensitivity than did RI-for-age and weight-for-height across the 3 age groups. Cross-classifications of BMI D and BMI C were performed to determine to what extent self-reported height and weight from the driver licenses allows to classify individuals into specific BMI categories.

Google Scholar PubMed. Waist-to-height ratio is a ondex screening tool than waist circumference and BMI index reliability adult cardiometabolic risk factors: systematic review and meta-analysis. Join Examine. The obesity epidemic: pathophysiology and consequences of obesity. Each study used a standardized protocol for the height, weight, and DXA measurements, as summarized in Table 1. Percentage body fat and total fat mass were determined by dual-energy X-ray absorptiometry. Original article underweight, overweight and obesity: relationships with mortality in the year follow-up of the Canada fitness survey.

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Body mass index as a predictor of percent fat in college athletes and nonathletes. However, information on validity and reliability of these measurements for application in epidemiological studies is limited. This may negatively affect their health literacy and may decrease their willingness to improve their health behaviors. Similarly, among females, concurrent validity for self-reported height ICC 0. Availability of data and materials Special attention is given to protect individuals and their information contained within the UPDB and the organizations that contribute data while also allowing access to researchers.

For assessment of validity of total BV measurements, ADP measurements were performed on 32 participants in addition to the main study protocol. Ottawa ON; Cancer Causes Control. Reliabiliyt All participants completed a study protocol at the study center comprising measurement of height and weight, the 3DPS and ADP examination. Effects of lifestyle changes to reduce risks of diabetes and associated cardiovascular risks: results from large scale efficacy trials. And since diets vary daily, a 7-day food record should provide estimates of population means for nutrients [ 3031 ] and be sufficient to capture normal eating patterns in the adolescent population.

Prevalence of overweight and abdominal obesity according to anthropometric parameters and the association reliability and validity sexual maturation in adolescent schoolchildren. The definition of obesity is based on the body mass masx BMI [ 23 ]; however, although BMI is, to some extent, correlated with the amount of fat, it is neither a specific marker of body fat nor a marker for abnormal fat accumulation. However, spirometry measurements probably give more valid estimates than the equation used in our analysis. J Am Diet Assoc. A food frequency questionnaire for youth: psychometric analysis and summary of eating habits in adolescents. Finally, different approaches for the adjustment of BV based on 3DPS scans for lung volume were used. Measured body fat percentage can thus be a criterion for measuring overweight and obesity among adolescents.

All factual claims are followed by specifically-applicable references. J Nutr ; : β€” 9. Arch Intern Med. Individuals, on average, tend to overestimate their height and underestimate their weight.

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Acknowledgement Dr. Despite the discrepancies between height and weight values obtained from the DLD and clinically measured height and weight values, as well as BMI calculated using different data sources, BMI C and BMI D yield similar results when used as relative risk predictors in logistic regression models Table 3. PubMed Article Google Scholar. Simultaneous exposure to MRI-related static and low-frequency movement-induced time-varying magnetic fields affects neurocognitive performance: A double-blind randomized crossover study. Pediatricians should thus combine self-reports of weight and height with measurements of these characteristics or, preferably, use other measures like body fat proportion or waist and hip proportion.

J Magn Body mass index reliability and validity Imaging. Average height for women in our sample is Ethnic variation in validity of classification of overweight and obesity using self-reported weight and height in American women and men: the third National Health and nutrition examination survey. To accurately assess and monitor weight and nutritional status among youth, researchers often rely on retrospective self-reports, requiring the recall of behaviours. For example, External link. This may lead to suboptimal counselling and treatment, and may ultimately increase healthcare disparities.

Our team periodically reviews articles in order to ensure content quality. J Appl Physiol ; 75 : β€” World Health Organization. Issue Section:. This finding is consistent with previous studies showing the greatest weight and BMI underestimation at higher values of BMI [ 7202223353637 ].

Table 1 Descriptive characteristics of the sample Full size table. Arch Reliqbility Child ; 46 : β€” 4. Accuracy of body mass index in diagnosing obesity in the adult general population. Conclusions: Recommendations for measurement of height, weight and calculation of BMI were not always followed. The height and weight data were obtained from two sources.

  • Validation study data were collected from grade 9 students in Ontario Canada.

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  • Am J Clin Nutr.

  • Romero-Corral A. Using state-issued identification cards for obesity tracking.

Am J Epidemiol. Meat and alternatives a. Nutrition Journal. Index for rating diagnostic tests.

Since BV and the Valixity differences were not normally distributed, Wilcoxon signed ranks test for paired samples was used to test for the significance of measurement differences between both body mass index. How accurate is the prevalence of overweight and obesity in children and adolescents derived from self-reported data? A second explanation may be the reliabilty tendency of people with lower aerobic fitness to underestimate their weight [ 29 ]. Overall, self-reported T 1 and T 2 data required to calculate BMI were only available from respondents Temporal trends in misclassification patterns of measured and self-report based body mass index categories-findings from three population surveys in Ireland. This created a challenge in selecting items to balance both the depth of the core measures associated with each behavioural outcome and the breadth of data that could be measured in each domain. Socioeconomic inequalities in adolescent health β€” A time-series analysis of 34 countries participating in the health behaviour in school-aged children study.

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We also examined the correlation between BMI-for-age and weight-for-height because the new CDC growth charts have both references available for children aged 2β€”5 y Arch Intern Med. Correspondence to Alla Chernenko. That being said, it can be useful as a complementary datum.

Hu FB. Measurements All participants completed a study protocol at the study center comprising measurement of height and weight, the 3DPS and ADP examination. Article Google Scholar. Stat Med.

  • Materials and Methods 2. Accuracy of body mass index in diagnosing obesity in the adult general population.

  • Related articles in PubMed Is growth restriction in twin pregnancies a double challenge? However, other data showed that the 85th percentile of BMI predicts children at risk of developing obesity 49 and identified children with additional risk factors for cardiovascular disease

  • In our study, we found a mean BV difference of 1.

  • Air displacement plethysmography: validation in overweight and obese subjects. The obesity epidemic: pathophysiology and consequences of obesity.

Cite this article Chernenko, A. Usefulness of bioelectric impedance and skinfold-thickness measurements in predicting fat-free mass derived from total body potassium index reliability and children. An estimated 30 million people fall into this category, Dr. Substantial evidence suggests that overweight or obese children are more likely to be overweight or obese as adults 43 β€” Special attention is given to protect individuals and their information contained within the UPDB and the organizations that contribute data while also allowing access to researchers.

Analyses Conventional descriptive statistics were used for the self-reported and measured weight status and dietary intake measures examined by sex. Deurenberg P. Within this protocol restriction, it was not possible to use a detailed food frequency questionnaire to measure eating behaviours in COMPASS i. Article Google Scholar 5. The use of passive consent and questionnaire processing protocols do not allow for objective measures of height and weight of whole school samples.

Pepper et al. PubMed Article Google Scholar. Choo V.

Accuracy of teen and parental reports masd obesity and body mass index. Am J Clin Nutr. Robinson E. For example, increasing age is associated with more disagreement between self-reported and measured height and weight, likely due to changes in stature and body composition and illnesses common among older individuals [ 1920 ].

Sensitivity is the probability that BMI correctly identifies adolescents with overweight and obesity according to the criterion of measured fat percentage, and specificity overrated hypothyroidism pregnancy diet the probability that BMI correctly reveals normal weight according to that criterion. After the participant entered the chamber, two measurements of raw BV were executed. Public health asks of systems science: to advance our evidence-based practice, can you help us get more practice-based evidence? PubMed Article Google Scholar 8. Santillan A, Camargo C. We used three-step sampling to obtain a representative sample.

Sijmen A. View author publications. We selected the cut-off for the difference between self-reported and clinically measured height based on the literature [ 32 ].

PLoS One. Do obese children become obese adults? A man whose weight is normal but has plus percent body fat, or a woman who has 30 percent, may be at risk of developing some of the same health issues as people who are significantly overweight. Int J Obes Lond.

Our boody periodically reviews articles in order to ensure content quality. Time to achieve delivery of nutrition targets is associated with clinical outcomes in critically ill children. J Am Diet Assoc. The role of fat mass index in determining obesity. At Healthfully, we strive to deliver objective content that is accurate and up-to-date.

Some authors suggest reliabiliry for the measurement error when using BMI based on self-reported height and weight when estimating health and mortality risks, noting that although corrected BMI performs better than uncorrected BMI, these corrections do validity eliminate the bias completely [ 42 ]. The obesity epidemic: pathophysiology and consequences of obesity. We conclude that although BMI D does not allow for very accurate classification of individuals in the underweight, normal weight and overweight categories, it can be particularly useful for BMI categorization at the high end of the BMI scale. Yet body composition, including percent body fat or amount of muscle mass, can vary by race and ethnic group. It is not possible to determine whether the patients were asked to remove shoes and clothing when their height and weight were recorded.

According to the WHOnearly three million people die yearly worldwide due to being overweight or obese. J Pediatr ; 95 : β€” A comparison between muscle function and body composition in anorexia nervosa: the effect of refeeding. BMC Public Health.

Do obese children become obese adults? Use of self-reported height and weight biases the body mass indexβ€”mortality association. Validity of self-reported height and weight and derived body mass index masd middle-aged and elderly individuals in Australia. Obesity as defined by alternate means BMI is not the only measurement of obesity, although it is the most commonly used. Accuracy of measurements of body composition by dual energy X-ray absorptiometry in vivo. Background: Validation studies of height- and weight-based indexes of body fatness in children and adolescents have examined only small samples of school-age children.

Overweight but unseen: A review of the underestimation of weight status reliability and a visual normalization theory. Similarly, among females, concurrent validity for self-reported height ICC 0. Fruits and vegetables b. The purpose of this study was to assess the 1-week 1wk test-retest reliability and the concurrent validity of the self-reported COMPASS questionnaire measures used to determine weight status and dietary intake associated with Canada Food Guide servings.

Background

A second explanation is that in our analyses, we did not account for pubertal stage. To facilitate this large-scale data collection, body mass index reliability and validity fast and accurate processing of questionnaires, and minimize labour costs and transcription errors, the student-level questionnaire needed to be in a machine-readable format. Test-retest reliability for meeting the food guide recommendations identified that for fruits and vegetables ICC 0. The handbook of psychological testing. J Hum Nutr Diet.

Prev Med ; 22 : β€” Accuracy of self-reported body weight, height and waist circumference in a Dutch overweight working population. Data Resource: population level body mass index reliability and validity justice administrative data with opportunities for data linkage. The final study sample comprised 16, subjects. Discussion In our sample, self-reported height and weight differ from clinically measured values in a predictable manner: individuals, on average, overestimate their height and underestimate their weight, resulting in significant differences between BMI D using height and weight values from the driver license and BMI C using clinically measured height and weight.

This finding is consistent with previous studies showing the greatest weight and BMI underestimation at higher values of BMI [ 7 valisity, 202223353637 ]. Download citation. You look lean and fit, but your BMI appears high. Pediatrics ; 99 : β€” 7. While commonly used in clinical practice and public health research, BMI is not necessarily a perfect predictor of individual health. Although we strive to deliver accurate and up-to-date information, no guarantee to that effect is made. This trend of BMI underreporting obesity has been replicated in a small 82 sample of active police officers, [5] and for child-bearing aged women where BMI suggests

The Basics About BMI

All examinations were taken on the same day with a maximum interval of one hour between the 3DPS and ADP measurements. The American Journal of Clinical Nutrition. Obes Res Clin Pract. Scott T Leatherdale: ac. Consistent with the literature [ 1832 - 35 ], the C q measures underestimated weight by 2.

Since height reliabiligy weight information contained in the driver license records reliability and validity self-reported, it is likely prone to errors relative to clinical measures similar to those found in surveys that too rely on self-reported anthropometric information. Descriptive characteristics of the sample are presented in Table 1. World Obesity. For dietary intake, the mean difference in self-reported consumption of grain product was negative underestimated by 1. In respect to the reliability of the 3DPS, it should be mentioned that a single assessment of a biomarker, as has often been done in baseline examinations of large-scale epidemiological studies, may be susceptible to short-term variation and not reflect true long-term exposure.

Comparison between self-reported S and ajd measured M weight status and dietary intake. Within this protocol restriction, it was not possible to use a detailed food frequency questionnaire to measure eating behaviours in COMPASS i. Curr Opin Clin Nutr. Accuracy of self-reported height and weight in women: an integrative review of the literature. Obes Res.

No technical issues or refusal of participants occurred during the completion of the study and quality checks revealed formal plausibility xnd the data obtained. The National Cancer Institute diet history questionnaire: validation of pyramid food servings. Diagnostic performance of body mass index to identify obesity as defined by body adiposity in children and adolescents: A systematic review and meta-analysis. Download references.

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