2016
DOI: 10.1002/oby.21713
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A multimodal study of impulsivity and body weight: Integrating behavioral, cognitive, and neuroimaging approaches

Abstract: Objective: Dimensions of impulsivity are related to obesity. Accordingly, characterization of impulsivity in individuals with overweight and obesity holds promise for more targeted and effective intervention. Methods: Forty-five individuals (13 males, mean age 5 32.6, mean body mass index [BMI] 5 30.7) were recruited to determine the role of impulsivity in elevated body weight by evaluating: (1) trait impulsivity via impulsive sensation-seeking scale (ImpSS), (2) state impulsivity via continuous performance te… Show more

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Cited by 19 publications
(11 citation statements)
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“…27,33 Additionally, regional assessment of the DMN showed an increase in the inferior parietal cortex and posterior cingulate cortex, which integrates food images with visual attention 84 and generates a bias towards food cues, respectively. 85 The post-hoc connectivity analysis corroborates the previous find- were chosen based on previous published work: socio-economic, 86 physiological, 25,69,77,87 cognitive [88][89][90] and heritability. 91,92 Despite these previous relationships, we did not find any association between socio-economic, physiological or cognitive measures and the interaction of age at onset of puberty and adult BMI.…”
Section: Discussionsupporting
confidence: 79%
“…27,33 Additionally, regional assessment of the DMN showed an increase in the inferior parietal cortex and posterior cingulate cortex, which integrates food images with visual attention 84 and generates a bias towards food cues, respectively. 85 The post-hoc connectivity analysis corroborates the previous find- were chosen based on previous published work: socio-economic, 86 physiological, 25,69,77,87 cognitive [88][89][90] and heritability. 91,92 Despite these previous relationships, we did not find any association between socio-economic, physiological or cognitive measures and the interaction of age at onset of puberty and adult BMI.…”
Section: Discussionsupporting
confidence: 79%
“…Common themes were deficits in attention, memory and executive function, the mental processes that underlie higher-order cognition such as deliberation and decision making. Reduced capacity in these domains may lead to a reduction in overall self-regulatory control needed to maintain a healthy lifestyle, giving rise to overeating in ways that are parallel to overconsumption of addictive drugs (Volkow et al., 2012; Filbey and Yezhuvath, 2016). A growing body of literature suggests that neurocognitive impairment and dysregulated self-control seen in obesity may mirror that seen in addictive disorders (Amlung et al., 2016a).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the following criteria were used to select hazardous drinkers: having an Alcohol Use Disorders Identification Test (AUDIT) total score > 8 ( 36 ) and Fagerstrom Test for Nicotine Dependence (FTND) < 6 (no nicotine dependence). The healthy controls were recruited from two studies: (a) an extension of the genetics of drinking study ( 33 35 ); and (b) control comparison of an obesity study ( 37 ), both approved by University of New Mexico Human Research Review Committee and all the participants provided written informed consent. The recruiting criteria for healthy controls included: free of nicotine dependence (self-defined, about half participants provided FTND scores to confirm); free of any alcohol use problems and any problem drinking history (occasional alcohol use was allowed, ADUIT scores were available for participants to confirm); free of any chronic disease, any brain injury, and any substance use other than alcohol.…”
Section: Methodsmentioning
confidence: 99%