scholarly journals Adolescent Engagement in a Binge-Eating Behavioral Health Intervention: Influence of Perceptions of Physical Appearance and Locus of Control

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 102
Author(s):  
Rebecca C. Kamody ◽  
Idia B. Thurston ◽  
E. Thomaseo Burton
Keyword(s):  
Locus Of Control ◽  
Binge Eating ◽  
Behavioral Health ◽  
Emotional Eating ◽  
Eating Behaviors ◽  
Physical Appearance ◽  
Health Intervention ◽  
Post Intervention ◽  
Behavioral Health Intervention ◽  
Adolescent Engagement

Traditional weight management approaches focused solely on weight loss as a measure of success may lead youth to internalize negative beliefs about their appearance, and feel they have little control over their health. We examined how perceptions of appearance and health-related locus of control (HRLOC) influenced engagement and outcomes in a behavioral health intervention for binge eating. Thirty adolescents aged 14–18 years completed measures of self-perception, HRLOC, and eating behaviors. Half (n = 15) completed baseline assessments only, while the other half participated in a 10-week intervention targeting dysregulated eating behaviors. Analyses revealed negative perceptions of physical appearance and internal HRLOC were higher at baseline among youth who completed the intervention compared to those who completed baseline assessments only. Among those completing the intervention, however, greater internal HRLOC and more positive perception of physical appearance at baseline was associated with greater reduction in objective binge episodes and emotional eating post-intervention. Findings of the present study suggest that while having a more negative perception of one’s appearance may initially motivate youth to participate in weight-related interventions, such perceptions can actually lead to poorer health outcomes, and further supports the extant literature on the benefits of interventions that engender positive body image.

scholarly journals Eating behaviors and weight loss outcomes in a 12-month randomized trial of diet and/or exercise intervention in postmenopausal women

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Caitlin Mason ◽  
Jean de Dieu Tapsoba ◽  
Catherine Duggan ◽  
Ching-Yun Wang ◽  
Catherine M. Alfano ◽  
...  
Keyword(s):  
Weight Loss ◽  
Binge Eating ◽  
Postmenopausal Women ◽  
Eating Behavior ◽  
Emotional Eating ◽  
Eating Behaviors ◽  
Dietary Intervention ◽  
Restrained Eating ◽  
Dietary Weight Loss ◽  
Uncontrolled Eating

Abstract Background Certain eating behaviors are common among women with obesity. Whether these behaviors influence outcomes in weight loss programs, and whether such programs affect eating behaviors, is unclear. Methods Our aim was to examine the effect of baseline eating behaviors on intervention adherence and weight among postmenopausal women with overweight or obesity, and to assess intervention effects on eating behaviors. Four hundred and 39 women (BMI ≥25 kg/m2) were randomized to 12 months of: i) dietary weight loss with a 10% weight loss goal (‘diet’; n = 118); ii) moderate-to-vigorous intensity aerobic exercise for 225 mins/week (‘exercise’; n = 117); iii) combined dietary weight loss and exercise (‘diet + exercise’; n = 117); or iv) no-lifestyle change control (n = 87). At baseline and 12 months, restrained eating, uncontrolled eating, emotional eating and binge eating were measured by questionnaire; weight and body composition were assessed. The mean change in eating behavior scores and weight between baseline and 12 months in the diet, exercise, and diet + exercise arms were each compared to controls using the generalized estimating equation (GEE) modification of linear regression adjusted for age, baseline BMI, and race/ethnicity. Results Baseline restrained eating was positively associated with change in total calories and calories from fat during the dietary intervention but not with other measures of adherence. Higher baseline restrained eating was associated with greater 12-month reductions in weight, waist circumference, body fat and lean mass. Women randomized to dietary intervention had significant reductions in binge eating (− 23.7%, p = 0.005 vs. control), uncontrolled eating (− 24.3%, p < 0.001 vs. control), and emotional eating (− 31.7%, p < 0.001 vs. control) scores, and a significant increase in restrained eating (+ 60.6%, p < 0.001 vs. control); women randomized to diet + exercise reported less uncontrolled eating (− 26.0%, p < 0.001 vs. control) and emotional eating (− 22.0%, p = 0.004 vs. control), and increased restrained eating (+ 41.4%, p < 0.001 vs. control). Women randomized to exercise alone had no significant change in eating behavior scores compared to controls. Conclusions A dietary weight loss intervention helped women modify eating behaviors. Future research should investigate optimal behavioral weight loss interventions for women with both disordered eating and obesity. Trial registration NCT00470119 (https://clinicaltrials.gov). Retrospectively registered May 7, 2007.

scholarly journals Development, Feasibility, Acceptability, and Utility of an Expressive Speech-Enabled Digital Health Agent to Deliver Online, Brief Motivational Interviewing for Alcohol Misuse: Descriptive Study

10.2196/25837 ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. e25837
Author(s):  
Maya Boustani ◽  
Stephanie Lunn ◽  
Ubbo Visser ◽  
Christine Lisetti
Keyword(s):  
Alcohol Use ◽  
Behavioral Health ◽  
Digital Health ◽  
Health Intervention ◽  
The Internet ◽  
Conversational Agents ◽  
Promising Alternative ◽  
Expressive Speech ◽  
3 Dimensional ◽  
Behavioral Health Intervention

Background Digital health agents — embodied conversational agents designed specifically for health interventions — provide a promising alternative or supplement to behavioral health services by reducing barriers to access to care. Objective Our goals were to (1) develop an expressive, speech-enabled digital health agent operating in a 3-dimensional virtual environment to deliver a brief behavioral health intervention over the internet to reduce alcohol use and to (2) understand its acceptability, feasibility, and utility with its end users. Methods We developed an expressive, speech-enabled digital health agent with facial expressions and body gestures operating in a 3-dimensional virtual office and able to deliver a brief behavioral health intervention over the internet to reduce alcohol use. We then asked 51 alcohol users to report on the digital health agent acceptability, feasibility, and utility. Results The developed digital health agent uses speech recognition and a model of empathetic verbal and nonverbal behaviors to engage the user, and its performance enabled it to successfully deliver a brief behavioral health intervention over the internet to reduce alcohol use. Descriptive statistics indicated that participants had overwhelmingly positive experiences with the digital health agent, including engagement with the technology, acceptance, perceived utility, and intent to use the technology. Illustrative qualitative quotes provided further insight about the potential reach and impact of digital health agents in behavioral health care. Conclusions Web-delivered interventions delivered by expressive, speech-enabled digital health agents may provide an exciting complement or alternative to traditional one-on-one treatment. They may be especially helpful for hard-to-reach communities with behavioral workforce shortages.

Longitudinal outcomes after brief behavioral health intervention in an integrated primary care clinic.

2012 ◽  
Vol 30 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Bobbie N. Ray-Sannerud ◽  
Diana C. Dolan ◽  
Chad E. Morrow ◽  
Kent A. Corso ◽  
Kathryn E. Kanzler ◽  
...  
Keyword(s):  
Primary Care ◽  
Behavioral Health ◽  
Primary Care Clinic ◽  
Health Intervention ◽  
Integrated Primary Care ◽  
Care Clinic ◽  
Longitudinal Outcomes ◽  
Behavioral Health Intervention

scholarly journals Genomic information as a behavioral health intervention: can it work?

2011 ◽  
Vol 8 (6) ◽  
pp. 659-667 ◽  
Author(s):  
Cinnamon S Bloss ◽  
Lisa Madlensky ◽  
Nicholas J Schork ◽  
Eric J Topol
Keyword(s):  
Behavioral Health ◽  
Health Intervention ◽  
Genomic Information ◽  
Behavioral Health Intervention

scholarly journals Evaluating the impact of integrated behavioral health intervention

Medicine ◽  
2021 ◽  
Vol 100 (34) ◽  
pp. e27066
Author(s):  
Bishnu Bahadur Thapa ◽  
M. Barton Laws ◽  
Omar Galárraga
Keyword(s):  
Behavioral Health ◽  
Health Intervention ◽  
Integrated Behavioral Health ◽  
Behavioral Health Intervention ◽  
The Impact

scholarly journals Understanding User Experience: Exploring Participants’ Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain (Preprint)

2018 ◽  
Author(s):  
Annie T Chen ◽  
Aarti Swaminathan ◽  
William R Kearns ◽  
Nicole M Alberts ◽  
Emily F Law ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Cluster Analysis ◽  
Behavioral Health ◽  
Topic Modeling ◽  
Health Intervention ◽  
Interaction Patterns ◽  
Analysis Method ◽  
Common Component ◽  
Internet Interventions ◽  
Behavioral Health Intervention

BACKGROUND Delivery of behavioral health interventions on the internet offers many benefits, including accessibility, cost-effectiveness, convenience, and anonymity. In recent years, an increased number of internet interventions have been developed, targeting a range of conditions and behaviors, including depression, pain, anxiety, sleep disturbance, and eating disorders. Human support (coaching) is a common component of internet interventions that is intended to boost engagement; however, little is known about how participants interact with coaches and how this may relate to their experience with the intervention. By examining the data that participants produce during an intervention, we can characterize their interaction patterns and refine treatments to address different needs. OBJECTIVE In this study, we employed text mining and visual analytics techniques to analyze messages exchanged between coaches and participants in an internet-delivered pain management intervention for adolescents with chronic pain and their parents. METHODS We explored the main themes in coaches’ and participants’ messages using an automated textual analysis method, topic modeling. We then clustered participants’ messages to identify subgroups of participants with similar engagement patterns. RESULTS First, we performed topic modeling on coaches’ messages. The themes in coaches’ messages fell into 3 categories: Treatment Content, Administrative and Technical, and Rapport Building. Next, we employed topic modeling to identify topics from participants’ message histories. Similar to the coaches’ topics, these were subsumed under 3 high-level categories: Health Management and Treatment Content, Questions and Concerns, and Activities and Interests. Finally, the cluster analysis identified 4 clusters, each with a distinguishing characteristic: Assignment-Focused, Short Message Histories, Pain-Focused, and Activity-Focused. The name of each cluster exemplifies the main engagement patterns of that cluster. CONCLUSIONS In this secondary data analysis, we demonstrated how automated text analysis techniques could be used to identify messages of interest, such as questions and concerns from users. In addition, we demonstrated how cluster analysis could be used to identify subgroups of individuals who share communication and engagement patterns, and in turn facilitate personalization of interventions for different subgroups of patients. This work makes 2 key methodological contributions. First, this study is innovative in its use of topic modeling to provide a rich characterization of the textual content produced by coaches and participants in an internet-delivered behavioral health intervention. Second, to our knowledge, this is the first example of the use of a visual analysis method to cluster participants and identify similar patterns of behavior based on intervention message content.

Primary Care Behavioral Health Intervention Survey

2016 ◽  
Author(s):  
Prerna G. Arora ◽  
Sharon Hoover Stephan ◽  
Kimberly D. Becker ◽  
Lawrence Wissow
Keyword(s):  
Primary Care ◽  
Behavioral Health ◽  
Health Intervention ◽  
Primary Care Behavioral Health ◽  
Behavioral Health Intervention
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