Differences in accuracy of height, weight, and body mass index between self-reported and measured using the 2018 Korea Community Health Survey data.
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ABSTRACT: Objectives
This study aimed to determine an effective survey method for the accurate calculation of obesity prevalence by comparing the self-reported and measured height, weight, and body mass index (BMI) using the 2018 Korea Community Healthy Survey (CHS) data.Methods
Raw data from the 2018 CHS were used to analyze the differences, correlation, and agreement between self-reported and measured height, weight, and BMI.Results
The self-reported height was over-reported than the measured height (0.59 cm greater for men and 0.71 cm greater for women), while the self-reported weight was under-reported than the measured weight (0.55 kg less for men and 0.67 kg less for women). Subsequently, the self-reported BMI was under-estimated (0.35 kg/m2 lower for men and 0.49 kg/m2 lower for women) compared with the measured BMI. The kappa statistic and agreement between measured and self-reported values per BMI category (underweight, normal, overweight, and obesity) were 0.82 and 79.6%, respectively.Conclusions
The prevalence of obesity should be calculated using the measured values provided in the CHS in order to promote local health projects based on accurate evidence.
SUBMITTER: Ko Y
PROVIDER: S-EPMC9117107 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Publications
Differences in accuracy of height, weight, and body mass index between self-reported and measured using the 2018 Korea Community Health Survey data.
Ko Yoonsil Y Choi Sunhye S Won Jisoo J Lee Yeon-Kyeng YK Kim Dong-Hyun DH Lee Seon Kui SK
Epidemiology and health 20220219
<h4>Objectives</h4>This study aimed to determine an effective survey method for the accurate calculation of obesity prevalence by comparing the self-reported and measured height, weight, and body mass index (BMI) using the 2018 Korea Community Healthy Survey (CHS) data.<h4>Methods</h4>Raw data from the 2018 CHS were used to analyze the differences, correlation, and agreement between self-reported and measured height, weight, and BMI.<h4>Results</h4>The self-reported height was over-reported than ...[more]
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Project description:PURPOSE:Self-reported weight, height, and body mass index (BMI) are commonly used in cancer epidemiology studies, but information on the validity of self-reports among cancer survivors is lacking. This study aimed to evaluate the validity of these self-reported measures among African American (AA) breast cancer survivors, known to have high obesity prevalence. METHODS:We compared the self-reported and measured values among 243 participants from the Women's Circle of Health Follow-Up Study (WCHFS), a population-based longitudinal study of AA breast cancer survivors. Multivariable-adjusted linear regressions were used to identify factors associated with reporting errors. We also examined the associations of self-reported and measured BMI with obesity-related health outcomes using multivariable logistic regressions, with hypertension as an example, to evaluate the impact of misreporting. RESULTS:We found that self-reported and measured values were highly correlated among all and when stratified by participants' characteristics (intraclass correlation coefficients ≥ 0.99, 0.84, and 0.96 for weight, height, and BMI, respectively). The agreement between BMI categories (normal, overweight and obese) based on self-reported and measured data was excellent (kappa = 0.81). Women who were older, never smoked, had higher grade tumors, or had greater BMI tended to have overestimated BMI calculated from self-reported weight and height. The BMI-hypertension association was similar using self-reported (OR per 5 kg/m2 increase 1.63; 95% CI 1.27-2.10) and measured BMI (1.58; 95% CI 1.23-2.03). CONCLUSIONS:Self-reported weight, height, and BMI were reasonably accurate in the WCHFS. IMPLICATIONS FOR CANCER SURVIVORS:Our study supports the use of these self-reported values among cancer survivors when direct measurements are not possible.
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Project description:IntroductionSelf-reported height and weight may lead to inaccurate estimates of associations between BMI and health indicators. The purpose of this study is to assess anthropometric misreporting in emerging adults, compare weight classification by self-reported and direct measures, and examine associations of self-reported and direct measures with cardiometabolic biomarkers.MethodsSelf-reported and directly measured height and weight were obtained in five waves of a nationally representative cohort study of U.S. tenth graders (n=2,785) conducted in 2010-2016; data were analyzed in 2018. Cardiometabolic biomarkers were assessed in three waves in a systematically recruited subsample (n=567). Pearson correlations (r) and Lin's concordance correlations (ρc) evaluated misreporting. Gwet agreement coefficient-1 evaluated weight classification agreement by self-reported and direct measures. Generalized estimating equations examined associations of cardiometabolic biomarkers with self-reported and direct measures.ResultsParticipants overreported height by 1.0-1.7 cm and underestimated weight by 0.6-1.7 kg. Self-reported BMI was 0.6-1.0 lower than measured. Self-reported and measured height, weight, and BMI were strongly correlated (r=0.88-0.97, 0.86-0.98, and 0.65-0.96, respectively) and concordant (ρc=0.82-0.96, 0.94-0.97, and 0.65-0.95, respectively). Agreement of weight classification by self-reported and direct measures ranged from Gwet agreement coefficient-1=0.79-0.94. Associations of ten cardiometabolic biomarkers with self-reported BMI, measured BMI, and waist circumference were similar in magnitude, direction, and precision.ConclusionsSelf-reported and measured BMI were strongly correlated and concordant, providing substantial to near-perfect agreement in weight classification. Findings suggest self-reported BMI in U.S. emerging adults provides nearly identical estimates of associations with cardiometabolic biomarkers.
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Project description:Most studies reporting prevalence of obesity use actual weight and height measurements. Self-reported weight and height have been used in epidemiological studies as they have been shown to be reliable, convenient, and inexpensive alternatives to actual measurements. However, the accuracy of self-reported weight and height might vary in different regions because of the difference in health awareness and social influences. This study aims to determine the accuracy and reliability of self-reported weight and height compared to actual measured weight and height among adults in Malaysia. This was a cross-sectional study conducted at the community level during blood pressure screening campaigns. Participants self-reported their weight and height in a questionnaire survey. Their weight and height were validated using measurements by researchers on the same setting. Body mass index (BMI) was defined as underweight (<18.5kg/m2), normal (18.5-22.9 kg/m2), overweight (23-27.4 kg/m2) and obesity (≥27.5 kg/m2). Bland-Altman analysis, intraclass correlation coefficients and weighted Kappa statistics were used to assess the degree of agreement between self-reported and measured weight and height. A total of 2781 participants were recruited in this study. The difference between the mean self-reported and measured weight and height were 0.4 kg and 0.4 cm respectively. Weighted Kappa statistics analysis showed that there was a substantial agreement between the BMI classifications derived from self-reported and actual measurement (ҡ = 0.920, p<0.001). There was no marked difference in the sensitivity and specificity of self-reported BMI among Malaysian adults by gender. We observed substantial agreement between self-reported and measured body weight and height within a sample of Malaysian adults. While self-reported body weight showed weaker agreement with actual measurements particularly for obese and overweight individuals, BMI values derived from self-reported weight and height were accurate for 88.53% of the participants. We thus conclude that self-reported height and weight measures may be useful for tracking and estimating population trends amongst Malaysian adults.
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Project description:ImportanceAtopic dermatitis may be associated with short stature and obesity in children, but most previous studies have been either small or cross-sectional.ObjectiveTo evaluate the association between atopic dermatitis and height, body mass index (BMI; calculated as weight in kilograms divided by height in meters squared), and weight throughout childhood.Design, setting, and participantsTARGet Kids! (The Applied Research Group for Kids) is an ongoing prospective longitudinal cohort study that collects data at routine physician visits throughout childhood. In this cohort, children aged 5 or younger were followed up into adolescence at regular physician visits at general pediatric and family practices in Toronto, Canada, from June 2008 to February 2021.ExposureParental report of atopic dermatitis.Main outcomes and measuresPrimary outcomes were length-for-age and BMI-for-age z scores. The secondary outcome was weight-for-age z score. Linear mixed effects models were used to estimate associations between atopic dermatitis and each outcome. In secondary analyses, interaction terms were included between atopic dermatitis and age.ResultsA total of 10 611 children were included in the analysis, with mean (SD) baseline age of 23 (20) months; 5070 (47.8%) participants were female. Participants were followed for a median (range) of 28.5 (0.0-158.0) months. A total of 1834 (17.3%) children had atopic dermatitis during follow-up. Atopic dermatitis was associated with lower length-for-age z score (-0.13; 95% CI, -0.17 to -0.09; P < .001), higher BMI z score (0.05; 95% CI, 0.01 to 0.09; P = .008), and lower weight-for-age z score (-0.07; 95% CI, -0.10 to -0.04; P < .001) compared with children without atopic dermatitis. The associations between atopic dermatitis and height and BMI changed with age, diminishing by age 14 years and 5.5 years, respectively. Based on World Health Organization growth tables, children with atopic dermatitis were on average 0.5 cm shorter with 0.2 more BMI units at age 2 years and 0.6 cm shorter with no difference in BMI at age 5 years than children without atopic dermatitis after adjusting for covariates. There was no evidence of interaction between atopic dermatitis and age with respect to weight.Conclusions and relevanceIn this cohort study, atopic dermatitis was associated with shorter stature, higher BMI, and lower weight in early childhood, but these associations were small and, for height and BMI, attenuated with age and resolved by adolescence.
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