Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy.
Center for Clinical Research and Treatment of Eating Disorders, University Hospital Mater Domini, Catanzaro, Italy.
Eat Weight Disord. 2022 Aug;27(6):2143-2154. doi: 10.1007/s40519-022-01363-0. Epub 2022 Jan 29.
Obesity is a major health problem with an increasing risk of mortality, associated with comorbidities and high rates of dropout. Research demonstrated that pathological eating behaviors could help to phenotype obese patients thus tailoring clinical interventions. Therefore, our aim was to develop (study 1), validate (study 2), and test in a clinical setting (study 3) the Eating Behaviors Assessment for Obesity (EBA-O).
Study 1 included the exploratory factor analysis (EFA) and McDonald's ω in a general population sample (N = 471). Study 2 foresaw the confirmatory factor analysis (CFA) and convergent validity in 169 participants with obesity. Study 3 tested the capability of the EBA-O to characterize eating behaviors in a clinical sample of 74 patients with obesity.
Study 1. EFA identified five factors (i.e., food addiction, night eating, binge eating, sweet eating, and prandial hyperphagia), explaining 68.3% of the variance. The final EBA-O consisted of 18 items. McDonald's ω ranged between 0.80 (hyperphagia) and 0.92 (binge eating), indicating very good reliability.
STUDY 2: A second-order five-factor model, through CFA, showed adequate fit: relative chi-square (χ/df) = 1.95, CFI = 0.93, TLI = 0.92, RMSEA = 0.075, and SRMR = 0.06, thus suggesting the appropriateness of the EBA-O model. Significant correlations with psychopathological questionnaires demonstrated the convergent validity. Study 3. Significant associations between EBA-O factors and emotional-related eating behaviors emerged.
The EBA-O demonstrated to be a reliable and easy-to-use clinical tool to identify pathological eating behaviors in obesity, particularly useful for non-experts in eating disorders.
Level V, descriptive research.
肥胖是一个日益严重的健康问题,与死亡率增加相关,并发合并症和高辍学率。研究表明,病理性进食行为可以帮助肥胖患者表型化,从而定制临床干预措施。因此,我们的目的是开发(研究 1)、验证(研究 2)并在临床环境中测试(研究 3)肥胖饮食行为评估(EBA-O)。
研究 1 包括探索性因素分析(EFA)和 McDonald's ω 在一般人群样本(N=471)中的应用。研究 2 预计在 169 名肥胖患者中进行验证性因素分析(CFA)和收敛效度分析。研究 3 测试了 EBA-O 在 74 名肥胖患者的临床样本中描述进食行为的能力。
研究 1:EFA 确定了五个因素(即食物成瘾、夜间进食、暴食、嗜甜和餐前过食),解释了 68.3%的方差。最终的 EBA-O 由 18 个项目组成。McDonald's ω 范围在 0.80(过食)到 0.92(暴食)之间,表明具有非常好的可靠性。
研究 2:通过 CFA,二阶五因素模型显示出良好的拟合度:相对卡方/自由度(χ/df)=1.95,拟合指数(CFI)=0.93,TLI=0.92,RMSEA=0.075,SRMR=0.06,表明 EBA-O 模型是合适的。与心理病理学问卷的显著相关性表明了收敛效度。研究 3:EBA-O 各因素与情绪相关的进食行为之间存在显著关联。
EBA-O 是一种可靠且易于使用的临床工具,可用于识别肥胖患者的病理性进食行为,对于非进食障碍专家尤其有用。
五级,描述性研究。