ArticleSSM - population health2019
Biases in self-reported height and weight measurements and their effects on modeling health outcomes.
Article in SSM - population health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Improving the accuracy of self-reported height and weight in surveys: an experimental study.BMC medical research methodology · 2022Trial
- Psychometric validation of the fit body scale for assessing muscularity related body dissatisfaction in Iranian adults.Scientific reports · 2026Article
- Article
- Weight perceptions and psychological well-being in young adults: mediating roles of dispositional gratitude, body appreciation, and weight self-stigma.Journal of eating disorders · 2025Article
- Maternal Factors, Breast Anatomy, and Milk Production During Established Lactation-An Ultrasound Investigation.Journal of imaging · 2025Article
- Application of the health belief model to study weight management behavioral intentions among adults in Ho Chi Minh City, Vietnam: a cross-sectional study.BMC public health · 2025Article
- Investigating the association between night eating symptoms and chronotype: the mediating role of depressive symptoms in a sample of Italian university students.Eating and weight disorders : EWD · 2025Article
- Blood Pressure Levels During Pregnancy and Gestational Diabetes Mellitus: A Prospective Cohort Study and Mendelian Randomization Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Body Image Perception, Eating Habits, and Nutritional Status of Female University Students: A Case of Makerere University, Uganda.Journal of nutrition and metabolism · 2025Article
- Perceptions and stigma of anti-obesity pharmacotherapy in adult Polish women.Frontiers in public health · 2025Article
- Maternal Breast Growth and Body Mass Index Are Associated with Low Milk Production in Women.Nutrients · 2024Article
- Article
- The influence of early diet quality on the mental health of college students: the mediation effects of height andFrontiers in public health · 2024Article
- The health and wellbeing of Australian social housing tenants compared to people living in other types of housing.BMC public health · 2023Article
- Workout Logging Through an mHealth App for Weight Reduction Among Different Generations: Secondary Analysis of the MED PSU×ThaiSook Healthier Challenge.JMIR formative research · 2023Article
- How tall am I again? A longitudinal analysis of the reliability of self-reported height.SSM - population health · 2023Article
- Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study.NPJ digital medicine · 2023Article
- Prevalence of Overweight and Obesity in France: The 2020 Obepi-Roche Study by the "Ligue Contre l'Obésité".Journal of clinical medicine · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Self-reported anthropometrics are often used as proxies for measured anthropometrics, but research has shown that heights and weights are often misreported. Using the Study on global AGEing and adult health, I analyze misreporting patterns of height, weight, and BMI in China, India, Russia, and South Africa. Adjustments of self-reported heights and weights using demographic, social, and anthropometric characteristics are evaluated and found to be useful in studying the distribution of anthropometrics within a population. Measured, self-reported, and adjusted BMI are then compared in logistic regression models on the reporting of health outcomes, as well as the resulting accuracy of individual prediction. When BMI is used as a continuous variable in models of health outcomes, measured, self-reported, and adjusted BMI produce similar coefficient estimates, and so self-reported data would be a natural choice because of its accessibility and convenience. In other applications, such as models using categorical BMI and individual prediction using either continuous or categorical BMI, self-reported data in lieu of measured data might not be accurate enough, but adjustments could serve as a potential compromise.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.