ArticlePloS one2023
Self-reported and measured anthropometric variables in association with cardiometabolic markers: A Danish cohort study.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- The Usage Effects, Effect Modifiers, and Experiences of a Web-Based App for Healthy Habit Formation in Adults: Exploratory Analysis of a Quasi-Experimental Real-World Intervention.JMIR mHealth and uHealth · 2026Article
- Assessing the validity of self-reported weight, height, and body mass index among hispanic breast cancer survivors.Scientific reports · 2026Article
- Anthropometric Indicators and Immune Fitness: An Exploratory Online Survey Among Adults from Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- Life-long body mass index trajectories and cardiometabolic biomarkers-the Danish diet, cancer, and health-next generations cohort.International journal of obesity (2005) · 2025Article
- Body mass index changes and trajectories from midlife to late-life: association with subjective cognitive complaints in a 30-year Women's cohort study.Age and ageing · 2025Article
- Central and peripheral adiposity and premenopausal breast cancer risk: a pooled analysis of 440,179 women.Breast cancer research : BCR · 2025Article
- Resource Efficient Screening for Primary Prevention of Coronary Heart Disease: A Proof-of-Concept Test in the MESA Cohort.Journal of the American Heart Association · 2025Article
- Evaluation of patients' satisfaction with food services and assessment of plate waste in Cypriot hospitals.Journal of nutritional science · 2025Article
- Prevalence and Factors Related to Physical Activity in Spanish Adults with Obesity and Overweight: Analysis of the European Health Surveys for the Years 2014 and 2020.Healthcare (Basel, Switzerland) · 2024Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
General obesity is a recognized risk factor for various metabolically related diseases, including hypertension, dyslipidemia, and pre-diabetes. In epidemiological studies, anthropometric variables such as height and weight are often self-reported. However, misreporting of self-reported data may bias estimates of associations between anthropometry and health outcomes. Further, few validation studies have compared self-reported and measured waist circumference (WC). This study aimed to quantify the agreement between self-reported and measured height, weight, body mass index (BMI), WC, and waist-to-height ratio (WHtR), and to investigate associations of these anthropometric measures with cardiometabolic biomarkers. A total of 39,514 participants aged above 18 years were included into the Diet, Cancer, and Health-Next Generation Cohort in 2015-19. Self-reported and measured anthropometric variables, blood pressure, and cardiometabolic biomarkers (HbA1c, lipid profiles, C-reactive protein and creatinine) were collected by standard procedures. Pearson correlations (r) and Lin's concordance correlations were applied to evaluate misreporting. Misreporting by age, sex and smoking status was investigated in linear regression models. Multivariable regression models and Receiver Operating Characteristic analyses assessed associations of self-reported and measured anthropometry with cardiometabolic biomarkers. Self-reported height was overreported by 1.07 cm, and weight was underreported by 0.32 kg on average. Self-reported BMI and WC were 0.42 kg/m2 and 0.2 cm lower than measured, respectively. Self-reported and measured height, weight, BMI, WC and WtHR were strongly correlated (r = 0.98, 0.99, 0.98, 0.88, 0.86, respectively). Age, sex, smoking, and BMI contributed to misreporting of all anthropometric measures. Associations between self-reported or measured anthropometric measures and cardiometabolic biomarkers were similar in direction and strength. Concordance between self-reported and measured anthropometric measures, including WC, was very high. Self-reported anthropometric measures were reliable when estimating associations with cardiometabolic biomarkers.
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