Department of Nutrition Sciences, School of Health Sciences, Ariel University, Kiryat H'mada 3, Ariel, Israel.
Department of Nutrition, Assuta Medical Center, Tel Aviv, Israel.
Curr Obes Rep. 2024 Sep;13(3):564-573. doi: 10.1007/s13679-024-00576-x. Epub 2024 Jun 14.
This review explores characterizing candidates for obesity treatments including pharmacotherapy, endoscopic bariatric therapies, and metabolic bariatric surgery (MBS), focusing on established clinical parameters for diagnosing obesity beyond body mass index alone.
Existing literature primarily provides rates for fat mass percentage (i.e., a marker for adiposity quantity), waist circumference (i.e., a marker for adiposity distribution), and C-reactive protein levels (i.e., a marker for adiposity functionality) among obesity treatment candidates. Limited data on abnormal values and sex-based differentiation exist. The literature indicates high central-tendency measures for fat mass percentage and waist circumference, while C-reactive protein levels vary. Data on the Edmonton Obesity Staging System (i.e., a marker for adiposity-related disease severity) is predominantly available for MBS candidates. Future studies in obesity interventions should improve screening and diagnosis of obesity by incorporating sex-specific considerations and providing abnormal value rates for measurements to enhance understanding of patients' characteristics.
本综述探讨了肥胖治疗候选者的特征,包括药物治疗、内镜减肥治疗和代谢减肥手术(MBS),重点关注除体重指数以外用于诊断肥胖的既定临床参数。
现有文献主要提供了肥胖治疗候选者的体脂肪百分比(即肥胖程度的标志物)、腰围(即肥胖分布的标志物)和 C 反应蛋白水平(即肥胖功能的标志物)的发生率。关于异常值和基于性别的差异的数据有限。文献表明体脂肪百分比和腰围的集中趋势指标较高,而 C 反应蛋白水平则有所不同。关于 Edmonton 肥胖分期系统(即肥胖相关疾病严重程度的标志物)的数据主要适用于 MBS 候选者。肥胖干预的未来研究应通过纳入性别特异性考虑因素并为测量值提供异常值率来改善肥胖的筛查和诊断,从而增强对患者特征的理解。