Computerized neurocognitive training for improving dietary health and facilitating weight loss.

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Title: Computerized neurocognitive training for improving dietary health and facilitating weight loss.
Authors: Forman, Evan M. (AUTHOR), Manasse, Stephanie M. (AUTHOR), Dallal, Diane H. (AUTHOR), Crochiere, Rebecca. J. (AUTHOR), Loyka, Caitlin M. (AUTHOR), Butryn, Meghan L. (AUTHOR), Juarascio, Adrienne S. (AUTHOR), Houben, Katrijn (AUTHOR)
Source: Journal of Behavioral Medicine. Dec2019, Vol. 42 Issue 6, p1029-1040. 12p. 1 Color Photograph, 1 Illustration, 3 Charts, 3 Graphs.
Subjects: Prevention of obesity, Cognitive therapy, Computers, Food habits, Health behavior, Health promotion, Video games, Weight loss, Descriptive statistics
Abstract: Nearly 70% of Americans are overweight, in large part because of overconsumption of high-calorie foods such as sweets. Reducing sweets is difficult because powerful drives toward reward overwhelm inhibitory control (i.e., the ability to withhold a prepotent response) capacities. Computerized inhibitory control trainings (ICTs) have shown positive outcomes, but impact on real-world health behavior has been variable, potentially because of limitations inherent in existing paradigms, e.g., low in frequency, intrinsic enjoyment, personalization, and ability to adapt to increasing ability. The present study aimed to assess the feasibility, acceptability, and efficacy of a gamified and non-gamified, daily, personalized, and adaptive ICT designed to facilitate weight loss by targeting consumption of sweets. Participants (N = 106) were randomized to one of four conditions in a 2 (gamified vs. non-gamified) by 2 (ICT vs. sham) factorial design. Participants were prescribed a no-added-sugar diet and completed 42 daily, at-home trainings, followed by two weekly booster trainings. Results indicated that the ICTs were feasible and acceptable. Surprisingly, compliance to the 44 trainings was excellent (88.8%) and equivalent across both gamified and non-gamified conditions. As hypothesized, the impact of ICT on weight loss was moderated by implicit preference for sweet foods [F(1,95) = 6.17, p =.02] such that only those with higher-than-average implicit preference benefited (8-week weight losses for ICT were 3.1% vs. 2.2% for sham). A marginally significant effect was observed for gamification to reduce the impact of ICT. Implications of findings for continued development of ICTs to impact health behavior are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Computerized neurocognitive training for improving dietary health and facilitating weight loss.
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  Data: <searchLink fieldCode="AR" term="%22Forman%2C+Evan+M%2E%22">Forman, Evan M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Manasse%2C+Stephanie+M%2E%22">Manasse, Stephanie M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dallal%2C+Diane+H%2E%22">Dallal, Diane H.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Crochiere%2C+Rebecca%2E+J%2E%22">Crochiere, Rebecca. J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Loyka%2C+Caitlin+M%2E%22">Loyka, Caitlin M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Butryn%2C+Meghan+L%2E%22">Butryn, Meghan L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Juarascio%2C+Adrienne+S%2E%22">Juarascio, Adrienne S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Houben%2C+Katrijn%22">Houben, Katrijn</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Behavioral+Medicine%22">Journal of Behavioral Medicine</searchLink>. Dec2019, Vol. 42 Issue 6, p1029-1040. 12p. 1 Color Photograph, 1 Illustration, 3 Charts, 3 Graphs.
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  Data: Nearly 70% of Americans are overweight, in large part because of overconsumption of high-calorie foods such as sweets. Reducing sweets is difficult because powerful drives toward reward overwhelm inhibitory control (i.e., the ability to withhold a prepotent response) capacities. Computerized inhibitory control trainings (ICTs) have shown positive outcomes, but impact on real-world health behavior has been variable, potentially because of limitations inherent in existing paradigms, e.g., low in frequency, intrinsic enjoyment, personalization, and ability to adapt to increasing ability. The present study aimed to assess the feasibility, acceptability, and efficacy of a gamified and non-gamified, daily, personalized, and adaptive ICT designed to facilitate weight loss by targeting consumption of sweets. Participants (N = 106) were randomized to one of four conditions in a 2 (gamified vs. non-gamified) by 2 (ICT vs. sham) factorial design. Participants were prescribed a no-added-sugar diet and completed 42 daily, at-home trainings, followed by two weekly booster trainings. Results indicated that the ICTs were feasible and acceptable. Surprisingly, compliance to the 44 trainings was excellent (88.8%) and equivalent across both gamified and non-gamified conditions. As hypothesized, the impact of ICT on weight loss was moderated by implicit preference for sweet foods [F(1,95) = 6.17, p =.02] such that only those with higher-than-average implicit preference benefited (8-week weight losses for ICT were 3.1% vs. 2.2% for sham). A marginally significant effect was observed for gamification to reduce the impact of ICT. Implications of findings for continued development of ICTs to impact health behavior are discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10865-019-00024-5
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        Text: English
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        PageCount: 12
        StartPage: 1029
    Subjects:
      – SubjectFull: Prevention of obesity
        Type: general
      – SubjectFull: Cognitive therapy
        Type: general
      – SubjectFull: Computers
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      – SubjectFull: Food habits
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      – SubjectFull: Health behavior
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      – SubjectFull: Health promotion
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      – SubjectFull: Video games
        Type: general
      – SubjectFull: Weight loss
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      – SubjectFull: Descriptive statistics
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      – TitleFull: Computerized neurocognitive training for improving dietary health and facilitating weight loss.
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              Text: Dec2019
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