Validity of Self-reported Height, Weight, Body Mass Index, and Waist Circumference in Iranian Adults
Notice bibliographique
Résumé
Context: The validity of self-reported anthropometric indices has been examined in previous studies in different populations. Aims: The aim of our study was to evaluate the validity of self-reported height, weight, body mass index (BMI), and waist circumference (WC) for the first time in middle-age staffs of Isfahan University of Medical Sciences. Settings and Design: In this cross-sectional study, a total of 171 men and women were selected from staffs of Isfahan University of Medical Sciences, Isfahan, Iran. Methods and Materials: Technician- and self-reported measurements of height, weight, and WC were collected from all participants. BMI was calculated by dividing weight in kg by height in meters squared. Overweight and obesity were defined as BMI ≥25-<29.9 and ≥30 kg/m 2 , respectively. Abdominal obesity was defined as WC ≥94 and ≥80 cm in men and women, respectively. Statistical Analysis: Independent t -test, chi-square, Pearson and intraclass correlation coefficients (ICCs), as well as Kappa measurements, were used. Results: Fifty and 19 percentages of the study population were overweight and obese, respectively. Self-reported height (r = 0.83, P < 0.001, ICC =0.89, 95% confidence interval (CI): 0.85–0.92), weight (r = 0.95, P < 0.001, ICC = 0.979, 95% CI: 0.971–0.98), BMI (r = 0.70, P < 0.001, ICC = 0.81, 95% CI: 0.74–0.86), and WC (r = 0.60, P < 0.001, ICC = 0.71, 95% CI: 0.51–0.81) were highly correlated with actually measured ones. Approximately 80% and 65% of individuals who were defined as overweight and obese, respectively, based on actually measured data were correctly diagnosed as overweight and obese, respectively, based on self-reported data. The Kappa coefficients for different categories of weight situation and abdominal obesity were 0.59 and 0.32, respectively. Fifty-seven percent of participants who were diagnosed with abdominal obesity based on actually measured data were correctly diagnosed with abdominal obesity based on self-reported data. Also, approximately 48% and 69% of men and women, respectively, who were diagnosed with abdominal obesity based on actually measured data were correctly diagnosed with abdominal obesity based on self-reported ones. Conclusions: We found that self-reported data of anthropometric measures are reasonable in middle-age staff of Isfahan University of Medical Sciences. Nevertheless, self-reported data on WC should be cautiously relined on, in particular, among men.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».