2026-10-07T12:08:50Z https://api.figshare.com/v2/oai

oai:figshare.com:article/31735483 2026-09-24T20:09:41Z category_24658 item_type_3 month_year_09_2026

Weight Misperception Among Adults with Obesity in Türkiye: Anthropometric and Sociodemographic Determinants from a Nationwide Multicenter Cross-Sectional Study Alper Tuna Güven (21444134) Alihan Oral (23533007) Gökhan Tazegül (23533010) Ahmet Serdaroğlu (23533013) Aynur Kamburoğlu (23533016) Aysun Işıklar (23533018) Burak Çevirici (23533021) Erkan Özdemir (23533022) Eşref Araç (23533042) Fatih Türker (23533052) Hakan Şıvgın (23533072) Hasan Sözel (23533087) Hatice Beyza Arbak Kopan (23533092) İhsan Solmaz (23533099) İsmail Demir (23533110) Kamil Konur (23533113) Mehmet Biricik (23533125) Mehmet Erdevir (23533132) Nuriye Özcan Özer (23533138) Osman Özüdoğru (23533142) Sami Bahçebaşı (23533144) Sibel Ocak Serin (23533145) Metabolic medicine Obesity - Background: Weight misperception (WM) may be relevant to obesity management, but its correlates have not been well characterized in large, geographically diverse multicenter studies. This study evaluated WM and its associated factors among adults with obesity in Türkiye.Methods: This multicenter, cross-sectional study enrolled adults with obesity attending 21 healthcare centers between January and March 2026. Weight perception was assessed using a figure rating scale and classified as appropriate perception (AP), weight underestimation (WU), or weight overestimation (WO). Multinomial logistic regression was used to examine associated factors, with a sensitivity analysis accounting for clustering by study center. Separate binary logistic regression models evaluated the discrimination of any WM versus AP using alternative anthropometric indicators.Results: Among 3,642 participants, 50.1% had AP, 26.9% had WU, and 23.0% had WO. In the primary multivariable model, higher BMI, female sex, lower educational attainment, current anti-obesity medication use, absence of reported cost-related healthcare access barriers, and lack of perceived need for anti-obesity medication were associated with WU. After accounting for study-center clustering, the associations with BMI, female sex, and current medication use remained statistically significant, whereas those with education, cost-related barriers, and lack of perceived medication need were less certain. For WO, associations with older age, lower BMI, and perceived medication need remained statistically significant in the center-adjusted analysis. The BMI-based multinomial model had the highest reported Nagelkerke pseudo-R², but discrimination of the combined WM outcome was limited across all five binary models (AUC 0.542–0.549).Conclusions: WM was common in this multicenter, clinic-based sample of adults with obesity. WU and WO showed distinct associations with anthropometric, demographic, and treatment-related factors. Findings concerning education, cost-related healthcare access barriers, and WU require cautious interpretation in view of their sensitivity to study-center clustering. 2026-03-14T15:38:27Z Dataset Dataset 10.6084/m9.figshare.31735483.v2 https://figshare.com/articles/dataset/Weight_Misperception_Among_Adults_with_Obesity_in_T_rkiye_Anthropometric_and_Sociodemographic_Determinants_from_a_Nationwide_Multicenter_Cross-Sectional_Study/31735483 CC BY 4.0