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Food addiction (FA) appears among bariatric weight loss surgery candidates who struggle to control the intake of hyperpalatable/refined foods have high rates of psychopathology and related health problems. Despite this, prevalence rates of FA in the bariatric sector are reported as low or variable. We investigated the prevalence of FA and the applicability of conventionally used metrics for 166 pre-surgery candidates from a weight management centre (USA) and a major metropolitan hospital (Australia). Self-report measures assessed FA (Yale Food Addiction Scale (YFAS)), body mass index (BMI), disordered eating, addictive personality, psychopathology, and diet. Consistent with prior research, standard YFAS scoring, requiring the endorsement of a distress/impairment (D/I) criterion (FA + D/I), yielded a FA prevalence rate of 12.7%, compared to 37.3% when D/I was omitted (FA − D/I). We compared profiles for those with FA using each scoring method against those ‘without’, who did not meet a minimum of three YFAS symptoms (non-FA ≤ 2). Both methods differentiated those with and without FA on addictive traits, disordered eating and hyperpalatable food consumption. Only FA + D/I differentiated markers of psychological distress or impairment, including depression, anxiety and quality of life. Results indicate a need for further FA research in bariatric settings.
Intelligence is an extensively researched and psychometrically robust construct, whose biological validity remains insufficiently elucidated. The extant theorizing about neural mechanisms of intelligence links better reasoning abilities to the efficiency of information processing by the brain as a system (Neubauer & Fink, 2009), to the structural and functional integrity of the network connecting critically important brain hubs (a parietal-frontal integration or P-FIT theory, Jung & Haier, 2007), and to properties of specific brain regions, such as the prefrontal cortices (Duncan, Emslie, Williams, Johnson, & Freer, 1996). Gathering data for testing these theories is a complicated enterprise that involves interrogating the brain from multiple perspectives. Despite recent promising work on multimodal imaging (Sui, Huster, Yu, Segall, & Calhoun, 2014), it is still unrealistic to assess all relevant aspects of the brain at once. Thus, the investigators are compelled to evaluate specific salient features of the brain’s structure and function.
Seven half-day regional listening sessions were held between December 2016 and April 2017 with groups of diverse stakeholders on the issues and potential solutions for herbicide-resistance management. The objective of the listening sessions was to connect with stakeholders and hear their challenges and recommendations for addressing herbicide resistance. The coordinating team hired Strategic Conservation Solutions, LLC, to facilitate all the sessions. They and the coordinating team used in-person meetings, teleconferences, and email to communicate and coordinate the activities leading up to each regional listening session. The agenda was the same across all sessions and included small-group discussions followed by reporting to the full group for discussion. The planning process was the same across all the sessions, although the selection of venue, time of day, and stakeholder participants differed to accommodate the differences among regions. The listening-session format required a great deal of work and flexibility on the part of the coordinating team and regional coordinators. Overall, the participant evaluations from the sessions were positive, with participants expressing appreciation that they were asked for their thoughts on the subject of herbicide resistance. This paper details the methods and processes used to conduct these regional listening sessions and provides an assessment of the strengths and limitations of those processes.
Herbicide resistance is ‘wicked’ in nature; therefore, results of the many educational efforts to encourage diversification of weed control practices in the United States have been mixed. It is clear that we do not sufficiently understand the totality of the grassroots obstacles, concerns, challenges, and specific solutions needed for varied crop production systems. Weed management issues and solutions vary with such variables as management styles, regions, cropping systems, and available or affordable technologies. Therefore, to help the weed science community better understand the needs and ideas of those directly dealing with herbicide resistance, seven half-day regional listening sessions were held across the United States between December 2016 and April 2017 with groups of diverse stakeholders on the issues and potential solutions for herbicide resistance management. The major goals of the sessions were to gain an understanding of stakeholders and their goals and concerns related to herbicide resistance management, to become familiar with regional differences, and to identify decision maker needs to address herbicide resistance. The messages shared by listening-session participants could be summarized by six themes: we need new herbicides; there is no need for more regulation; there is a need for more education, especially for others who were not present; diversity is hard; the agricultural economy makes it difficult to make changes; and we are aware of herbicide resistance but are managing it. The authors concluded that more work is needed to bring a community-wide, interdisciplinary approach to understanding the complexity of managing weeds within the context of the whole farm operation and for communicating the need to address herbicide resistance.
Quality of life (QOL) is lower in older adults with generalized anxiety disorder (GAD). QOL generally improves following cognitive-behavioral treatment for GAD. Little is known, however, about additional variables predicting changes in QOL in older adults with GAD. This study examined predictors of change in QOL among older participants in a randomized clinical trial of cognitive behavioral therapy (CBT) for GAD, relative to enhanced usual care (EUC).
Hierarchical multilevel mixed-model analyses were used to examine inter-individual and intra-individual factors that predicted QOL over time. Predictors were categorized into treatment, personal and clinical characteristics.
QOL improved over time, and there was significant variability between participants in change in QOL. Controlling for treatment condition, baseline general self-efficacy, baseline social support, within-person variation in worry and depression and average levels of depression across different time points predicted changes in QOL.
QOL has increasingly been used as an outcome measure in treatment outcome studies to focus on overall improvement in functioning. Attention to improvement in symptoms of depression and worry, along with psychosocial variables, such as social support and self-efficacy, may help improve QOL in older adults with GAD.
This study was a secondary study of data from a randomized clinical trial (NCT00308724) registered with clinical.trials.gov.