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      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/m 2 lower for men and 0.49 kg/m 2 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.

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          Accuracy of body mass index estimated from self-reported height and weight in mid-aged Australian women.

          Wendy Brown, Annette Dobson, Ian W. Burton (2010)
          To assess the accuracy of body mass index (BMI) estimated from self-reported height and weight from a mailed survey, in a population-based sample of mid-aged Australian women. One hundred and fifty nine women (age 54-59 years) were recruited from the Australian Longitudinal Study on Women's Health (ALSWH). Participants provided height and weight data in a mailed survey and were then measured (Brisbane, Australia 2005). Differences between self-reported and measured data were examined by plotting against the measured values and using paired t-tests and kappa statistics. Factors associated with biased reporting were assessed using regression models. Both self-reported height and weight tended to be underestimated, with a mean difference of 0.67 cm (95% CI 0.26 to 1.08 cm) and 0.95 kg (95% CI 0.44 to 1.47 kg) respectively. Reported height and derived BMI was more accurate among married women than single women (average difference of 1.28 cm, 95% CI 0.19 to 2.37 cm and -1.00 kg/m², 95%CI -1.69 to -0.30, respectively). Women with BMI 18.5-24.9 kg/m² reported weight more accurately than obese women (average difference of 2.26 kg, 95% CI 0.14 to 4.38 kg). There was 84% agreement between BMI categories derived from self-reported and measured data, with 85%, 73% and 94% of women correctly classified as obese, overweight, and healthy BMI using self-reported data and kappa=0.81. There is substantial agreement between self-reported and measured height and weight data for mid-aged women, especially among married and healthy weight women. Population-based studies among mid-aged women in Australia can use self-reported data obtained from mailed surveys to derive BMI estimates. © 2010 The Authors. ANZJPH © 2010 Public Health Association of Australia.
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            Validity of self-reported body mass index among middle-aged participants in the Norwegian Women and Cancer study

            Guri Skeie, Nicolle Mode, Maria Henningsen … (2015)
            Background Body mass index (BMI) based on self-reported height and weight has been criticized as being biased because of an observed tendency for overweight and obese people to overestimate height and underestimate weight, resulting in higher misclassification for these groups. We examined the validity of BMI based on self-reported values in a sample of Norwegian women aged 44–64 years. Methods The study sample of 1,837 participants in the Norwegian Women and Cancer study self-reported height and weight, and then, within 1 year, either self-reported anthropometric again, or were measured by medical staff. Demographic and anthropometric were compared using t-tests and chi-square tests of independence. Misclassification of BMI categories was assessed by weighted Cohen’s kappa and Bland–Altman plot. Results On average, the two measurements were taken 8 months apart, and self-reported weight increased by 0.6 kg (P<0.05), and BMI by 0.2 kg/m2 (P<0.05). The distribution of BMI categories did not differ between self-reported and measured values. There was substantial agreement between self-reported values and those measured by medical staff (weighted kappa 0.73). Under-reporting resulting in misclassification of BMI category was most common among overweight women (36%), but the highest proportion of extreme under-reporting was found in obese women (18% outside the 95% limits of agreement). The cumulative distribution curves for the measured and self-reported values closely followed each other, but measurements by medical staff were shifted slightly toward higher BMI values. Conclusion While there was substantial agreement between self-reported and measured BMI values, there was small but statistically significant under-reporting of weight and thus self-reported BMI. The tendency to under-report was largest among overweight women, while the largest degree of under-reporting was found in the obese group. Self-reported weight and height provide a valid ranking of BMI for middle-aged Norwegian women.
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              Accuracy and reliability of self-reported weight and height in the Sister Study.

              Lisa A DeRoo, David R Jacobs, Jin-Jin Lin … (2012)
              To assess the accuracy and reliability of self-reported weight and height and identify the factors associated with reporting accuracy. Analysis of self-reported and measured weight and height from participants in the Sister Study (2003-2009), a nationwide cohort of 50 884 women aged 35-74 years in the USA with a sister with breast cancer. Weight and height were reported via computer-assisted telephone interview (CATI) and self-administered questionnaires, and measured by examiners. Early enrolees in the Sister Study. There were 18 639 women available for the accuracy analyses and 13 316 for the reliability analyses. Using weighted kappa statistics, comparisons were made between CATI responses and examiner measures to assess accuracy and CATI and questionnaire responses to assess reliability. Polytomous logistic regression evaluated factors associated with over- or under-reporting. Compared with measured values, agreement was 96 % for reported height (±1 inch (±2·5 cm); weighted κ = 0·84) and 67 % for weight (±3 lb (±1·36 kg); weighted κ = 0·92). Obese women (BMI ≥ 30 kg/m2) were more likely than normal-weight women to under-report weight by ≥5 % and underweight women (BMI 10 %.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Epidemiol Health
                Journal ID (iso-abbrev): Epidemiol Health
                Journal ID (publisher-id): EPIH
                Title: Epidemiology and Health
                Publisher: Korean Society of Epidemiology
                ISSN (Electronic): 2092-7193
                Publication date Collection: 2022
                Publication date (Electronic): 19 February 2022
                Volume: 44
                Electronic Location Identifier: e2022024
                Affiliations
                [1 ]Division of Chronic Disease Control, Bureau of Chronic Disease Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, Korea
                [2 ]Division of Healthcare Association Infection Control, Bureau of Healthcare Safety and Immunization, Korea Disease Control and Prevention Agency, Cheongju, Korea
                [3 ]Department of Social and Preventive Medicine, Hallym University College of Medicine, Graduate School of Public Health, Chuncheon, Korea
                Author notes
                Correspondence: Seon Kui Lee Division of Chronic Disease Control, Bureau of Chronic Disease Prevention and Control, Korea Disease Control and Prevention Agency, 187 Osongsaengmyeong 2-ro, Heungduk-gu, Cheongju 28159, Korea E-mail: byuly74@ 123456korea.kr
                Author information
                http://orcid.org/0000-0002-1441-5472
                http://orcid.org/0000-0002-2942-0290
                http://orcid.org/0000-0003-2361-8666
                http://orcid.org/0000-0002-0828-455X
                http://orcid.org/0000-0002-1492-5253
                http://orcid.org/0000-0001-6629-5591
                Article
                Publisher ID: epih-44-e2022024
                DOI: 10.4178/epih.e2022024
                PMC ID: 9117107
                PubMed ID: 35209710
                SO-VID: fc03960d-eba7-4b22-97a2-b70395a6b0da
                Copyright © ©2022, Korean Society of Epidemiology
                License:

                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.

                History
                Date received : 6 September 2021
                Date accepted : 15 December 2021
                Categories
                Subject: Original Article

                ScienceOpen disciplines: Public health
                Keywords: community health survey,obesity,measures,self-reported
                Data availability:
                ScienceOpen disciplines: Public health
                Keywords: community health survey, obesity, measures, self-reported

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