ArticlePopulation health metrics2016
Accuracy of self-reported height, weight, and waist circumference in a general adult Chinese population.
Article in Population health metrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 71 citations in OpenAlex.
- Associations of addiction-like eating with personal relative deprivation, compensatory health beliefs, and body mass index from the life history perspective.Journal of eating disorders · 2025Article
- Accuracy of self-reported height, weight, and waist circumference in poor, rural areas of China.PeerJ · 2024Article
- Catch-up sleep on free days and body mass index: results from the seventh Korea National Health and Nutrition Examination Survey, 2016.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Weight self-misperception and obesity-related knowledge, attitudes, lifestyle behaviours and cardio-metabolic markers among Chinese school-aged children and adolescents.Public health nutrition · 2023Article
- Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey.BMC medical research methodology · 2023Article
- Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates.BMC public health · 2022Article
- Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction.Scientific reports · 2022Article
- Association between body fat percentage and H-type hypertension in postmenopausal women.Frontiers in public health · 2022Article
- Differences in accuracy of height, weight, and body mass index between self-reported and measured using the 2018 Korea Community Health Survey data.Epidemiology and health · 2022Article
- Depression among the general adult population in Jiangsu Province of China: prevalence, associated factors and impacts.Social psychiatry and psychiatric epidemiology · 2018Article
- Accuracy of self-reported height, weight and waist circumference in a Japanese sample.Obesity science & practice · 2017Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSelf-reported height, weight, and waist circumference (WC) are widely used to estimate the prevalence of obesity, which has been increasing rapidly in China, but there is limited evidence for the accuracy of self-reported data and the determinants of self-report bias among the general adult Chinese population.
methodsUsing a multi-stage cluster sampling method, 8399 residents aged 18 or above were interviewed in the Jiangsu Province of China. Information on self-reported height, weight, and WC, together with information on demographic factors and lifestyle behaviors, were collected through structured face-to-face interviews. Anthropometrics were measured by trained staff according to a standard protocol.
resultsSelf-reported height was overreported by a mean of 1.1 cm (95 % confidence interval [CI]: 1.0 to 1.2). Self-reported weight, body mass index (BMI), and WC were underreported by -0.1 kg (95 % CI: -0.2 to 0.0), -0.4 kg/m(2) (95 % CI: -0.5 to -0.3) and -1.5 cm (95 % CI: -1.7 to -1.3) respectively. Sex, age group, location, education, weight status, fruit/vegetable intake, and smoking significantly affected the extent of self-report bias. According to the self-reported data, 25.5 % of obese people were misclassified into lower BMI categories and 8.7 % of people with elevated WC were misclassified as normal. Besides the accuracy, the distribution of BMI and WC and their cut-off point standards for obesity of a population affected the proportion of obesity misclassification.
conclusionAmongst a general population of Chinese adults, there was rather high proportion of obesity misclassification using self-reported weight, height, and WC data. Self-reported anthropometrics are biased and misleading. Objective measurements are recommended.
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