认知灵活性
注意偏差
暴食
体质指数
心理学
人口
听力学
肥胖
灵活性(工程)
抑制性控制
医学
饮食失调
认知
临床心理学
精神科
内科学
统计
环境卫生
数学
作者
Ching-Tzu Fang,Vincent Chin‐Hung Chen,Hsiang-Ting Ma,Hse-Huang Chao,Ming-Chou Ho,Michael Gossop
标识
DOI:10.1097/jcp.0000000000001016
摘要
Abstract Purpose/Background Obesity is recognized as an important risk factor for many chronic diseases and is a major health issue. The current study examined attentional bias to food and the “cool” (inhibitory control and mental flexibility) and “hot” (affective decision making) executive functions (EFs) in obese patients preparing for bariatric surgery. In addition to body mass index (BMI), this study examined the impact of the binge-eating tendency and eating styles. Methods The study population comprised 21 morbidly obese patients preparing to undergo bariatric surgery (BMI ≥30 kg/m 2 ) and 21 normal-weight controls (24 kg/m 2 > BMI ≥ 18.5 kg/m 2 ). The Visual Probe Task was adopted to examine attentional bias toward food-related cues. The Stop-Signal Task and the Color Trails Test were used to assess inhibitory control and mental flexibility, respectively. The Iowa Gambling Task was administered to assess the affective decision making. Results (1) The obese patients showed poorer performances on cool EFs (for Color Trails Test, P = 0.016, ηp 2 = 0.136; for Stop-Signal Task, P = 0.049, ηp 2 = 0.093) and hot EF (for Iowa Gambling Task, normal controls showed progressed performance, P = 0.012, ηp 2 = 0.077, but obese patients did not show this progress, P = 0.111, ηp 2 = 0.089) compared with the normal controls; (2) participants with low binge-eating tendency had larger attentional biases at 2000 milliseconds than at 200 milliseconds on food-related cues ( P = 0.003, ηp 2 = 0.363); and (3) low-restrained participants exhibited attentional bias toward the low-calorie food cues, compared with the high-restrained group ( P = 0.009, ηp 2 = 0.158). Conclusions The current study contributes to the development of a different therapeutic focus on obese patients and binge eaters.
科研通智能强力驱动
Strongly Powered by AbleSci AI