five

Raw Data

收藏
DataCite Commons2025-05-29 更新2026-04-25 收录
下载链接:
https://figshare.com/articles/dataset/Raw_Data/29181452/1
下载链接
链接失效反馈
官方服务:
资源简介:
Introduction: Weight misperception (WM) is common and associated with adverse health outcomes. Moreover, it may be associated with anti-obesity medication misuse. Previous studies in other countries report that WM is common among university students. However, its frequency differs between countries, and data regarding university students in Turkey are lacking. Methodology: We designed and conducted a cross-sectional survey on a university campus in Turkey. Demographic, anthropometric, educational, nutritional, and perceptional data were acquired. Weight misperception was analyzed verbally and visually. Misperceptions were grouped as weight overestimation and underestimation. Factors associated with misperceptions were analyzed using multivariate multinomial logistic regression (LR) analysis. Results: 748 participants were included in the analysis. Verbal and visually appropriate perceptions were 75% and 65%, respectively. Female participants were more likely to perceive appropriately. Among participants with misperception, the females were more likely to overestimate while the males were more likely to underestimate. LR analysis demonstrated that body mass index, gender, tobacco use, overall health perception, physical self-esteem, and fast-food serving were associated with misperception in different models. Discussion: Weight misperception is common among university students in Turkey. Lean female students are prone to overestimation and may end up misusing anti-obesity medication. Overweight male students are prone to underestimation and prevented from benefiting from anti-obesity medications. <br>
提供机构:
figshare
创建时间:
2025-05-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作