{"title":"通过移动医疗干预改善食物相关抑制控制——一项随机对照试验的次要结果分析","authors":"Natalie Schoemann, Caroline Seiferth, Magdalena Pape, Tanja Färber, Stephan Herpertz, Sabine Steins-Loeber, Jörg Wolstein","doi":"10.1002/osp4.70026","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Experimental studies reveal that deficits in food-related inhibitory control, rather than general impulsiveness, are closely linked to overweight and obesity. To date, the real-world implications remain unknown, and it is unclear whether these results are supported in the clinical field.</p><p><strong>Objective: </strong>To examine the effectiveness of a mobile health (mHealth) intervention with cognitive and behavioral therapeutic elements in altering impulsiveness and food-related inhibitory control.</p><p><strong>Methods: </strong>Prespecified secondary outcome analysis of a randomized controlled trial. Participants with overweight/obesity (BMI: <i>M</i> = 33.35 kg/m<sup>2</sup>, SD = 3.79 kg/m<sup>2</sup>, <i>N</i> = 213) were randomly assigned to either a 12-week mHealth intervention (<i>n</i> = 116) or wait-list control group (<i>n</i> = 97). The Barratt-Impulsiveness-Scale (BIS-15) and the Food-Related Inhibitory Control Scale (FRIS) were administered at baseline (T0) following the intervention (T1), at 9 and 15 month post baseline (T2, T3). Multi-level analyses were calculated.</p><p><strong>Results: </strong>Compared to the control group, the intervention group reported higher food-related inhibitory control on several subscales of the FRIS: In Withholding in Social Situations at T1 (95% CI: 0.06-0.46) and T2 (95%CI: 0.09-0.50), Action Cancellation at T1 (95%CI: 0.05-0.45), Resisting despite Craving at T1 (95% CI: 0.07-0.49), Withstanding Rewarding Food at T2 (95%CI: 0.08-0.55) and Action Withholding at T3 (95% CI: 0.01-0.55). No differences were found for trait impulsiveness (T1: 95%CI: -1.91-0.47; T2: 95%CI: -1.65-0.84; T3: 95%CI: -0.88-1.67).</p><p><strong>Conclusions: </strong>Food-related inhibitory control, rather than global measures of impulsiveness, addresses the critical association between inhibitory control and health-conscious dietary choices and can be improved by mHealth intervention.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov identifier: NCT04080193.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"10 6","pages":"e70026"},"PeriodicalIF":1.9000,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11609755/pdf/","citationCount":"0","resultStr":"{\"title\":\"Improving Food-Related Inhibitory Control Through an mHealth Intervention-A Secondary Outcome Analysis of an RCT.\",\"authors\":\"Natalie Schoemann, Caroline Seiferth, Magdalena Pape, Tanja Färber, Stephan Herpertz, Sabine Steins-Loeber, Jörg Wolstein\",\"doi\":\"10.1002/osp4.70026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Experimental studies reveal that deficits in food-related inhibitory control, rather than general impulsiveness, are closely linked to overweight and obesity. To date, the real-world implications remain unknown, and it is unclear whether these results are supported in the clinical field.</p><p><strong>Objective: </strong>To examine the effectiveness of a mobile health (mHealth) intervention with cognitive and behavioral therapeutic elements in altering impulsiveness and food-related inhibitory control.</p><p><strong>Methods: </strong>Prespecified secondary outcome analysis of a randomized controlled trial. Participants with overweight/obesity (BMI: <i>M</i> = 33.35 kg/m<sup>2</sup>, SD = 3.79 kg/m<sup>2</sup>, <i>N</i> = 213) were randomly assigned to either a 12-week mHealth intervention (<i>n</i> = 116) or wait-list control group (<i>n</i> = 97). The Barratt-Impulsiveness-Scale (BIS-15) and the Food-Related Inhibitory Control Scale (FRIS) were administered at baseline (T0) following the intervention (T1), at 9 and 15 month post baseline (T2, T3). Multi-level analyses were calculated.</p><p><strong>Results: </strong>Compared to the control group, the intervention group reported higher food-related inhibitory control on several subscales of the FRIS: In Withholding in Social Situations at T1 (95% CI: 0.06-0.46) and T2 (95%CI: 0.09-0.50), Action Cancellation at T1 (95%CI: 0.05-0.45), Resisting despite Craving at T1 (95% CI: 0.07-0.49), Withstanding Rewarding Food at T2 (95%CI: 0.08-0.55) and Action Withholding at T3 (95% CI: 0.01-0.55). No differences were found for trait impulsiveness (T1: 95%CI: -1.91-0.47; T2: 95%CI: -1.65-0.84; T3: 95%CI: -0.88-1.67).</p><p><strong>Conclusions: </strong>Food-related inhibitory control, rather than global measures of impulsiveness, addresses the critical association between inhibitory control and health-conscious dietary choices and can be improved by mHealth intervention.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov identifier: NCT04080193.</p>\",\"PeriodicalId\":19448,\"journal\":{\"name\":\"Obesity Science & Practice\",\"volume\":\"10 6\",\"pages\":\"e70026\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11609755/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Obesity Science & Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/osp4.70026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity Science & Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/osp4.70026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Improving Food-Related Inhibitory Control Through an mHealth Intervention-A Secondary Outcome Analysis of an RCT.
Background: Experimental studies reveal that deficits in food-related inhibitory control, rather than general impulsiveness, are closely linked to overweight and obesity. To date, the real-world implications remain unknown, and it is unclear whether these results are supported in the clinical field.
Objective: To examine the effectiveness of a mobile health (mHealth) intervention with cognitive and behavioral therapeutic elements in altering impulsiveness and food-related inhibitory control.
Methods: Prespecified secondary outcome analysis of a randomized controlled trial. Participants with overweight/obesity (BMI: M = 33.35 kg/m2, SD = 3.79 kg/m2, N = 213) were randomly assigned to either a 12-week mHealth intervention (n = 116) or wait-list control group (n = 97). The Barratt-Impulsiveness-Scale (BIS-15) and the Food-Related Inhibitory Control Scale (FRIS) were administered at baseline (T0) following the intervention (T1), at 9 and 15 month post baseline (T2, T3). Multi-level analyses were calculated.
Results: Compared to the control group, the intervention group reported higher food-related inhibitory control on several subscales of the FRIS: In Withholding in Social Situations at T1 (95% CI: 0.06-0.46) and T2 (95%CI: 0.09-0.50), Action Cancellation at T1 (95%CI: 0.05-0.45), Resisting despite Craving at T1 (95% CI: 0.07-0.49), Withstanding Rewarding Food at T2 (95%CI: 0.08-0.55) and Action Withholding at T3 (95% CI: 0.01-0.55). No differences were found for trait impulsiveness (T1: 95%CI: -1.91-0.47; T2: 95%CI: -1.65-0.84; T3: 95%CI: -0.88-1.67).
Conclusions: Food-related inhibitory control, rather than global measures of impulsiveness, addresses the critical association between inhibitory control and health-conscious dietary choices and can be improved by mHealth intervention.