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Lim JZM, Williams A, Burgess J, O'Connell J, James M, Cross A, Hughes D, Cuthbertson DJ, Alam U, Wilding JPH. Efficacy of providing energy expenditure information to guide weight loss interventions in people with obesity: A randomized controlled trial. Clin Obes 2024:e12703. [PMID: 39287006 DOI: 10.1111/cob.12703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 07/22/2024] [Accepted: 08/19/2024] [Indexed: 09/19/2024]
Abstract
Resting energy expenditure (REE) and metabolic fuel utilization (carbohydrate or fat) proxied by respiratory quotient (RQ) from indirect calorimetry enables more precise measurement of energy needs and fat oxidation capacity. The study compared the effectiveness of providing energy expenditure information during diet and exercise weight intervention versus standard of care (SOC) on weight loss outcomes. Fifty-two participants with obesity were recruited from a specialist weight loss service, randomized 1:1 to intervention (INT) or SOC only. Participants in INT received four-weekly dietetic counselling, using biofeedback from energy expenditure data to recommend caloric restriction and physical activity goals, in addition to SOC. The primary outcome was the mean difference in weight loss between both groups after 24 weeks. Secondary outcomes include participant acceptability and tolerability using indirect calorimetry. Participants in the INT group demonstrated additional weight loss (-2.3 kg [95% CI: -3.1, -1.5]; p <.001), reduced waist circumference (-3.9 cm [95% CI: -5.48, -2.26]; p <.001), and decreased body fat percentage (-1.5% [95% CI:-2.31, -0.72], p <.001), compared to SOC, after adjusting for baseline body mass index, age, and sex. Forty-two percent (10/24) of participants in INT group achieved the minimum clinically significant threshold of 5% weight loss from baseline, compared to 8% (2/26) in the SOC group (p = .007). Participant acceptability and tolerability of indirect calorimetry were high, with mean scores of 4.5 ± 0.6 and 4.2 ± 0.7 (5-point Likert scale). The study establishes the safety and practical integration of biofeedback using indirect calorimetry promoting improved self-regulation and enhancing weight loss.
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Affiliation(s)
- Jonathan Z M Lim
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, Clinical Sciences Centre, Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK
- Diabetes, Endocrinology, and Metabolism Centre, Manchester Royal Infirmary, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, UK
| | - Andrew Williams
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, Clinical Sciences Centre, Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK
| | - Jamie Burgess
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, Clinical Sciences Centre, Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK
| | - James O'Connell
- Aintree Weight Management Services, Nutrition and Dietetics Therapies, Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Michaela James
- Aintree Weight Management Services, Nutrition and Dietetics Therapies, Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Andy Cross
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, Clinical Sciences Centre, Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK
| | - David Hughes
- Department of Health Data Science, Institute of Population Health, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK
| | - Daniel J Cuthbertson
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, Clinical Sciences Centre, Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK
| | - Uazman Alam
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, Clinical Sciences Centre, Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK
- Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, UK
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, UK
| | - John P H Wilding
- Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, Clinical Sciences Centre, Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK
- Aintree Weight Management Services, Nutrition and Dietetics Therapies, Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
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Capps KP, Updegraff JA. How future orientations predict healthy outcomes: Information avoidance as a potential mechanism. J Health Psychol 2024; 29:848-862. [PMID: 38069612 DOI: 10.1177/13591053231214516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/25/2024] Open
Abstract
This study elucidates whether information avoidance may help explain demonstrated links between future orientation and health. In an online study, college students reported their self-reported prevention and detection health behaviors and responded to a prevention and detection health message. Path analyses indicated that information avoidance mediated the relationship with the future orientations (optimism and consideration of future consequences), such that, greater and more positive future orientations were associated with less information avoidance, and less information avoidance was associated with greater self-reported health behaviors and positive responses to health information. Correlational analyses revealed that information avoidance was particularly related to health outcomes, and to a greater extent than future orientations. Our findings join a growing literature showing the importance of information avoidance for a variety of health behaviors and suggest a potential intervention target for individuals whose characteristic ways of (not) thinking about their future might keep them unaware and unhealthy.
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Li S, Du Y, Miao H, Sharma K, Li C, Yin Z, Brimhall B, Wang J. Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial. J Med Internet Res 2024; 26:e53294. [PMID: 38506903 PMCID: PMC10993111 DOI: 10.2196/53294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/01/2024] [Accepted: 01/31/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Achieving clinically significant weight loss through lifestyle interventions for obesity management is challenging for most individuals. Improving intervention effectiveness involves early identification of intervention nonresponders and providing them with timely, tailored interventions. Early and frequent self-monitoring (SM) adherence predicts later weight loss success, making it a potential indicator for identifying nonresponders in the initial phase. OBJECTIVE This study aims to identify clinically meaningful participant subgroups based on longitudinal adherence to SM of diet, activity, and weight over 6 months as well as psychological predictors of participant subgroups from a self-determination theory (SDT) perspective. METHODS This was a secondary data analysis of a 6-month digital lifestyle intervention for adults with overweight or obesity. The participants were instructed to perform daily SM on 3 targets: diet, activity, and weight. Data from 50 participants (mean age: 53.0, SD 12.6 y) were analyzed. Group-based multitrajectory modeling was performed to identify subgroups with distinct trajectories of SM adherence across the 3 SM targets. Differences between subgroups were examined for changes in clinical outcomes (ie, body weight, hemoglobin A1c) and SDT constructs (ie, eating-related autonomous motivation and perceived competence for diet) over 6 months using linear mixed models. RESULTS Two distinct SM trajectory subgroups emerged: the Lower SM group (21/50, 42%), characterized by all-around low and rapidly declining SM, and the Higher SM group (29/50, 58%), characterized by moderate and declining diet and weight SM with high activity SM. Since week 2, participants in the Lower SM group exhibited significantly lower levels of diet (P=.003), activity (P=.002), and weight SM (P=.02) compared with the Higher SM group. In terms of clinical outcomes, the Higher SM group achieved a significant reduction in body weight (estimate: -6.06, SD 0.87 kg; P<.001) and hemoglobin A1c (estimate: -0.38, SD 0.11%; P=.02), whereas the Lower SM group exhibited no improvements. For SDT constructs, both groups maintained high levels of autonomous motivation for over 6 months. However, the Lower SM group experienced a significant decline in perceived competence (P=.005) compared with the Higher SM group, which maintained a high level of perceived competence throughout the intervention (P=.09). CONCLUSIONS The presence of the Lower SM group highlights the value of using longitudinal SM adherence trajectories as an intervention response indicator. Future adaptive trials should identify nonresponders within the initial 2 weeks based on their SM adherence and integrate intervention strategies to enhance perceived competence in diet to benefit nonresponders. TRIAL REGISTRATION ClinicalTrials.gov NCT05071287; https://clinicaltrials.gov/study/NCT05071287. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1016/j.cct.2022.106845.
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Affiliation(s)
- Shiyu Li
- Department of Kinesiology, The Pennsylvania State University, University Park, PA, United States
| | - Yan Du
- School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Hongyu Miao
- College of Nursing, Florida State University, Tallahassee, FL, United States
| | - Kumar Sharma
- Center for Precision Medicine, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Chengdong Li
- College of Nursing, Florida State University, Tallahassee, FL, United States
| | - Zenong Yin
- Department of Public Health, The University of Texas at San Antonio, San Antonio, TX, United States
| | - Bradley Brimhall
- Department of Pathology and Laboratory Medicine, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Jing Wang
- College of Nursing, Florida State University, Tallahassee, FL, United States
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Goldstein SP, Olson KL, Thomas JG. Association of weight and shape concern with weight change and weight-related behaviors in behavioral weight loss treatment. J Behav Med 2023; 46:1049-1056. [PMID: 37740874 PMCID: PMC10577101 DOI: 10.1007/s10865-023-00451-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 09/13/2023] [Indexed: 09/25/2023]
Abstract
Weight and shape concern (WSC) is a facet of negative body image that is common among individuals with overweight/obesity seeking behavioral weight loss treatment (BWL), but remains understudied. This secondary analysis evaluates associations between WSC, weight change, and weight-related behaviors among individuals in a 24-week BWL. Adults (n = 32) with body mass index 25-50 kg/m2 completed a baseline WSC questionnaire, measured weight at 12 and 24 weeks, measured physical activity via accelerometer, and completed 24-hour dietary recalls. Adherence to self-monitoring dietary intake and weight were assessed. A series of linear mixed models were used to evaluate associations between baseline WSC and weight change, as well as weight-related behaviors. Results revealed no significant effect of WSC on weight change. There were significant WSC x time interactions, such that those rating WSC "very important" decreased self-weighing and the "low importance" group decreased their caloric intake during treatment. The "pretty important" group had greater minutes of activity than the "low importance" group. Findings indicated that WSC may impact weight-related behaviors that contribute to BWL success. This trial was pre-registered on ClinicalTrials.gov (NCT03739151).
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Affiliation(s)
- Stephanie P Goldstein
- Department of Psychiatry and Human Behavior, The Miriam Hospital/Weight Control and Diabetes Research Center, Warren Alpert Medical School of Brown University, 196 Richmond St, Providence, RI, 02903, USA.
| | - KayLoni L Olson
- Department of Psychiatry and Human Behavior, The Miriam Hospital/Weight Control and Diabetes Research Center, Warren Alpert Medical School of Brown University, 196 Richmond St, Providence, RI, 02903, USA
| | - J Graham Thomas
- Department of Psychiatry and Human Behavior, The Miriam Hospital/Weight Control and Diabetes Research Center, Warren Alpert Medical School of Brown University, 196 Richmond St, Providence, RI, 02903, USA
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Crane N, Hagerman C, Horgan O, Butryn M. Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral Weight Loss Program: Quantitative Study. JMIR Mhealth Uhealth 2023; 11:e45057. [PMID: 37463017 PMCID: PMC10394603 DOI: 10.2196/45057] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 04/17/2023] [Accepted: 05/18/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Long-term self-monitoring (SM) of weight, diet, and exercise is commonly recommended by behavioral weight loss (BWL) treatments. However, sustained SM engagement is notoriously challenging; therefore, more must be learned about patterns of engagement with digital SM tools during weight loss maintenance (WLM). In addition, insight into characteristics that may influence SM engagement could inform tailored approaches for participants at risk for poor adherence. OBJECTIVE This study explored patterns of digital SM of weight, diet, and exercise during WLM (aim 1) and examined timing, patterns, and rates of disengagement and reengagement (aim 2). This study also assessed relationships between individual-level factors (weight-related information avoidance and weight bias internalization) and SM engagement (aim 3). METHODS Participants were 72 adults enrolled in a BWL program consisting of a 3-month period of weekly treatment designed to induce weight loss (phase I), followed by a 9-month period of less frequent contact to promote WLM (phase II). Participants were prescribed daily digital SM of weight, diet, and exercise. At baseline, self-report measures assessed weight-related information avoidance and weight bias internalization. SM adherence was objectively measured with the days per month that participants tracked weight, diet, and exercise. Repeated-measures ANOVA examined differences in adherence across SM targets. Multilevel modeling examined changes in adherence across phase II. Relationships between individual-level variables and SM adherence were assessed with Pearson correlations, 2-tailed independent samples t tests, and multilevel modeling. RESULTS During WLM, consistently high rates of SM (≥50% of the days in each month) were observed for 61% (44/72) of the participants for exercise, 40% (29/72) of the participants for weight, and 21% (15/72) of the participants for diet. Adherence for SM of exercise was higher than that for weight or diet (P<.001). Adherence decreased over time for all SM targets throughout phase II (P<.001), but SM of exercise dropped off later in WLM (mean 10.07, SD 2.83 months) than SM of weight (mean 7.92, SD 3.23 months) or diet (mean 7.58, SD 2.92 months; P<.001). Among participants with a period of low SM adherence (ie, <50% of the days in a month), only 33% (17/51 for weight, 19/57 for diet) to 46% (13/28 for exercise) subsequently had ≥1 months with high adherence. High weight-related information avoidance predicted a faster rate of decrease in dietary SM (P<.001). Participants with high weight bias internalization had the highest rates of weight SM (P=.03). CONCLUSIONS Participants in BWL programs have low adherence to the recommendation to sustain daily SM during WLM, particularly for SM of diet and weight. Weight-related information avoidance and weight bias internalization may be relevant indicators for SM engagement. Interventions may benefit from innovative strategies that target participants at key moments of risk for disengagement.
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Affiliation(s)
- Nicole Crane
- Center for Weight, Eating, and Lifestyle Science, Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
| | - Charlotte Hagerman
- Center for Weight, Eating, and Lifestyle Science, Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
| | - Olivia Horgan
- Center for Weight, Eating, and Lifestyle Science, Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
| | - Meghan Butryn
- Center for Weight, Eating, and Lifestyle Science, Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
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Zoellner JM, Porter KJ, You W, Reid AL, Frederick C, Hilgart M, Brock DJP, Tate DF, Ritterband LM. Study protocol for iSIPsmarter: A randomized-controlled trial to evaluate the efficacy, reach, and engagement of a technology-based behavioral intervention to reduce sugary beverages among rural Appalachian adults. Contemp Clin Trials 2021; 110:106566. [PMID: 34492306 PMCID: PMC8595813 DOI: 10.1016/j.cct.2021.106566] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 09/03/2021] [Accepted: 09/03/2021] [Indexed: 01/09/2023]
Abstract
Sugar-sweetened beverage (SSB) consumption is disproportionately high among rural Appalachian adults, with intakes double the national average and nearly four times the recommended amount. This trial targets this major dietary risk factor and addresses notable gaps in the rural digital health intervention literature. iSIPsmarter is a technology-based behavior and health literacy intervention aimed at improving SSB behaviors. It is comprised of six Internet-delivered, interactive Cores delivered weekly, an integrated short message service (SMS) strategy to engage users in tracking and reporting SSB behaviors, and a cellular-enabled scale for in-home weighing. iSIPsmarter is adapted from an evidence-based intervention and is grounded by the Theory of Planned Behavior and health literacy, numeracy, and media literacy concepts. The RCT is guided by the RE-AIM framework and targets 244 rural Appalachian adults. The goal is to examine the efficacy of iSIPsmarter to reduce SSB in a two-group design [iSIPsmarter vs. static Participant Education website] with four assessment points. Changes in secondary outcomes (e.g., diet quality, weight, quality of life) and maintenance of outcomes will also be evaluated. Additional secondary aims are to examine reach and representativeness, patterns of user engagement, and cost. Two tertiary aims are exploratory mediation analyses and a systems-level, participatory evaluation to understand context for future organizational-level adoption of iSIPsmarter. The long-term goal is to sustain an effective, scalable, and high reach behavioral intervention to reduce SSB-related health inequities and related chronic conditions (i.e., obesity, diabetes, some obesity-related cancers, heart disease, hypertension, dental decay) in rural Appalachia and beyond. ClinicalTrial registry: NCT05030753.
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Affiliation(s)
- Jamie M Zoellner
- University of Virginia, School of Medicine, Department of Public Health Sciences, Cancer Center Research and Outreach Office, 16 East Main Street, Christiansburg, VA 24073, USA.
| | - Kathleen J Porter
- University of Virginia, School of Medicine, Department of Public Health Sciences, Cancer Center Research and Outreach Office, 16 East Main Street, Christiansburg, VA 24073, USA
| | - Wen You
- University of Virginia, School of Medicine, Department of Public Health Sciences, 560 Ray C Hunt Drive, Charlottesville, VA 22908, USA
| | - Annie L Reid
- University of Virginia, School of Medicine, Department of Public Health Sciences, Cancer Center Research and Outreach Office, 16 East Main Street, Christiansburg, VA 24073, USA
| | - Christina Frederick
- University of Virginia, School of Medicine, Department of Psychiatry and Neurobehavioral Sciences, 560 Ray C Hunt Drive, Charlottesville, VA 22908, USA
| | - Michelle Hilgart
- University of Virginia, School of Medicine, Department of Psychiatry and Neurobehavioral Sciences, 560 Ray C Hunt Drive, Charlottesville, VA 22908, USA
| | - Donna-Jean P Brock
- University of Virginia, School of Medicine, Department of Public Health Sciences, Cancer Center Research and Outreach Office, 16 East Main Street, Christiansburg, VA 24073, USA
| | - Deborah F Tate
- University of North Carolina, Gillings School of Global Public Health, Department of Health Behavior, Chapel Hill, NC 27599, USA
| | - Lee M Ritterband
- University of Virginia, School of Medicine, Department of Psychiatry and Neurobehavioral Sciences, 560 Ray C Hunt Drive, Charlottesville, VA 22908, USA
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Behr H, Ho AS, Mitchell ES, Yang Q, DeLuca L, Michealides A. How Do Emotions during Goal Pursuit in Weight Change over Time? Retrospective Computational Text Analysis of Goal Setting and Striving Conversations with a Coach during a Mobile Weight Loss Program. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126600. [PMID: 34205282 PMCID: PMC8296374 DOI: 10.3390/ijerph18126600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/10/2021] [Accepted: 06/15/2021] [Indexed: 12/24/2022]
Abstract
During behavioral weight management, individuals reflect on their progress and barriers through goal pursuit (goal setting and goal striving). Emotions during goal pursuit are largely unknown, and previous investigations of emotions in weight management have primarily relied on self-report. In this retrospective study, we used a well-validated computational text analysis approach to explore how emotion words changed over time during goal setting and striving conversations with a coach in a mobile weight loss program. Linear mixed models examined changes in emotion words each month from baseline to program end and compared emotion words between individuals who set an overall concrete goal for the program (concrete goal setters) and those who set an overall abstract goal (abstract goal setters). Contrary to findings using self-report, positive emotion words were stable and negative emotion words significantly increased over time. There was a marginal trend towards greater negative emotion word use being associated with greater weight loss. Concrete goal setters used more positive words than abstract goal setters, with no differences in negative emotion words and weight loss. Implications include the possibility that individuals may need increasing support over time for negative emotions expressed during goal setting and striving, and concrete goals could boost positive emotion. Future research should investigate these possibilities.
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Affiliation(s)
- Heather Behr
- Department of Integrative Health, Saybrook University, 55 W Eureka St, Pasadena, CA 91103, USA;
- Academic Research, Noom, 229 W 28th St., New York, NY 10461, USA; (A.S.H.); (Q.Y.); (L.D.); (A.M.)
| | - Annabell Suh Ho
- Academic Research, Noom, 229 W 28th St., New York, NY 10461, USA; (A.S.H.); (Q.Y.); (L.D.); (A.M.)
| | - Ellen Siobhan Mitchell
- Academic Research, Noom, 229 W 28th St., New York, NY 10461, USA; (A.S.H.); (Q.Y.); (L.D.); (A.M.)
- Correspondence:
| | - Qiuchen Yang
- Academic Research, Noom, 229 W 28th St., New York, NY 10461, USA; (A.S.H.); (Q.Y.); (L.D.); (A.M.)
| | - Laura DeLuca
- Academic Research, Noom, 229 W 28th St., New York, NY 10461, USA; (A.S.H.); (Q.Y.); (L.D.); (A.M.)
- Ferkauf Graduate School of Psychology, Yeshiva University, 1165 Morris Park Ave., Bronx, NY 10461, USA
| | - Andreas Michealides
- Academic Research, Noom, 229 W 28th St., New York, NY 10461, USA; (A.S.H.); (Q.Y.); (L.D.); (A.M.)
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