Pragmatic Implementation of Online Obesity Treatment and Maintenance Interventions in Primary Care: A Randomized Clinical Trial.

Importance: Behavioral weight loss interventions have achieved success in primary care; however, to our knowledge, pragmatic implementation of a fully automated treatment that requires little researcher oversight has not been tested. Moreover, weight loss maintenance remains a challenge. Objective: To evaluate the long-term effectiveness of an automated, online, behavioral obesity treatment program (Rx Weight Loss [RxWL]) at 12 months (primary end point) and 24 months when delivered pragmatically in primary care and to compare the effectiveness of 3 weight loss maintenance approaches. Design, Setting, and Participants: This randomized clinical trial of RxWL, an online weight loss program, recruited patients from a Rhode Island primary care network with approximately 60 practices and 100 physicians. Eligible participants were primary care patients aged 18 to 75 years with overweight or obesity who were referred by their nurse care manager and enrolled between 2018 and 2020. All participants were included in the intention-to-treat analysis, whereas only those who engaged with maintenance intervention were included in the per-protocol analysis. Data were analyzed from August 2022 to September 2023. Interventions: All participants were offered the same 3-month weight loss program, with randomization to one of three 9-month maintenance programs: control intervention (monthly online newsletters), monthly intervention (9 monthly video lessons and 1 week of self-monitoring per month), or refresher intervention (an introductory session and two 4-week periods of lessons and self-monitoring at 7 and 10 months). Main Outcomes and Measures: The primary outcome was weight change at 12 months using height and weight data collected from electronic medical records through 24 months. Results: Among the 540 participants (mean [SD] age, 52.8 [13.4] years; 384 females [71.1%]) in the intention-to-treat analysis, mean estimated 3-month weight loss was 3.60 (95% CI, -4.32 to -2.88) kg. At the 12-month primary end point, the amount of weight regained in the monthly (0.37 [95% CI, -0.06 to 0.81] kg) and refresher (0.45 [95% CI, 0.27 to 0.87] kg) maintenance groups was significantly less than that in the newsletter control maintenance group (1.28 [95% CI, 0.85 to 1.71] kg; P = .004). The difference in weight regain between the monthly and refresher maintenance groups was not statistically significant. This pattern persisted at 24 months. In the per-protocol analysis of 253 participants, mean weight loss at the end of the initial 3-month intervention was 6.19 (95% CI, -7.25 to -5.13) kg. Similarly, at 12 months there was less weight regain in the monthly (0.61 kg) and refresher (0.96 kg) maintenance groups than in the newsletter control maintenance group (1.86 kg). Conclusions and Relevance: Results of this randomized clinical trial indicate that pragmatic implementation of a 12-month automated, online, behavioral obesity treatment that includes 9 months of active maintenance produces clinically significant weight loss over 2 years in primary care patients with overweight or obesity. These findings underscore the importance of providing ongoing maintenance intervention to prevent weight regain. Trial Registration: ClinicalTrials.gov Identifier: NCT03488212.

Associations of daily weight management-focused social support with weight loss, activity behaviors, and eating regulation in the context of metabolic and bariatric surgery.

Objective: Greater perceived social support (PSS) is associated with more favorable changes in weight loss, activity behaviors, and eating regulation after metabolic and bariatric surgery (MBS). However, studies have relied on generic, retrospective PSS measures, and stability of PSS levels and relations with weight loss and weight-related behaviors over time is unknown. Using smartphone-based Ecological Momentary Assessment, this study evaluated pre-to 1-year post-MBS changes in daily weight management-focused PSS and associations with weight loss, device-measured activity behaviors, and eating regulation before and during the initial year after MBS. Method: Adult MBS patients (n = 71) received (1) an accelerometer to measure daily moderate-to-vigorous intensity physical activity (MVPA) and sedentary time (ST) minutes/day, and (2) a smartphone to complete morning weight-focused PSS ratings and eating regulation (dietary restraint/disinhibition) ratings at four semi-random times daily for 10 days at pre- and 3, 6, and 12-month postoperative. Generalized linear mixed models analyzed the associations of PSS with total weight loss (%TWL) and activity/eating outcomes. Results: Participants on average reported relatively stable moderate-to-high PSS (3.98 on one to five scale) across assessments. Perceived social support was not related to %TWL, MVPA, or ST. Participants with higher PSS reported lower disinhibition and higher restraint than those with lower PSS (ps < 0.05); however, participants reported higher restraint on days that PSS was lower than their usual levels (p = 0.009). Conclusions: MBS patients on average had stable PSS levels across time. Higher PSS levels were associated with greater resistance to overeating cues (disinhibition) and cognitive control to restrict food intake (restraint) over time. Additionally, participants reported higher restraint when PSS levels were lower than usual. Overall, weight-focused PSS appeared to hold greater importance in relation to regulating eating behavior than engaging in activity behaviors or weight loss among MBS patients during the initial postoperative year. Clinical Trial Registration: NCT02777177.

Detecting Eating Episodes From Wrist Motion Using Daily Pattern Analysis.

This paper presents new methods to detect eating from wrist motion. Our main novelty is that we analyze a full day of wrist motion data as a single sample so that the detection of eating occurrences can benefit from diurnal context. We develop a two-stage framework to facilitate a feasible full-day analysis. The first-stage model calculates local probabilities of eating P(Ew) within windows of data, and the second-stage model calculates enhanced probabilities of eating P(Ed) by treating all P(Ew) within a single day as one sample. The framework also incorporates an augmentation technique, which involves the iterative retraining of the first-stage model. This allows us to generate a sufficient number of day-length samples from datasets of limited size. We test our methods on the publicly available Clemson All-Day (CAD) dataset and FreeFIC dataset, and find that the inclusion of day-length analysis substantially improves accuracy in detecting eating episodes. We also benchmark our results against several state-of-the-art methods. Our approach achieved an eating episode true positive rate (TPR) of 89% with 1.4 false positives per true positive (FP/TP), and a time weighted accuracy of 84%, which are the highest accuracies reported on the CAD dataset. Our results show that the daily pattern classifier substantially improves meal detections and in particular reduces transient false detections that tend to occur when relying on shorter windows to look for individual ingestion or consumption events.

State-level working memory and dysregulated eating in children and adolescents: An exploratory ecological momentary assessment study.

BACKGROUND: Children with loss of control (LOC) eating and overweight/obesity have relative deficiencies in trait-level working memory (WM), which may limit adaptive responding to intra- and extra-personal cues related to eating. Understanding of how WM performance relates to eating behavior in real-time is currently limited. METHODS: We studied 32 youth (ages 10-17 years) with LOC eating and overweight/obesity (LOC-OW; n = 9), overweight/obesity only (OW; n = 16), and non-overweight status (NW; n = 7). Youth completed spatial and numerical WM tasks requiring varying degrees of cognitive effort and reported on their eating behavior daily for 14 days via smartphone-based ecological momentary assessment. Linear mixed effects models estimated group-level differences in WM performance, as well as associations between contemporaneously completed measures of WM and dysregulated eating. RESULTS: LOC-OW were less accurate on numerical WM tasks compared to OW and NW (ps < .01); groups did not differ on spatial task accuracy (p = .41). Adjusting for between-subject effects (reflecting differences between individuals in their mean WM performance and its association with eating behavior), within-subject effects (reflecting variations in moment-to-moment associations) revealed that more accurate responding on the less demanding numerical WM task, compared to one's own average, was associated with greater overeating severity across the full sample (p = .013). There were no associations between WM performance and LOC eating severity (ps > .05). CONCLUSIONS: Youth with LOC eating and overweight/obesity demonstrated difficulties mentally retaining and manipulating numerical information in daily life, replicating prior laboratory-based research. Overeating may be related to improved WM, regardless of LOC status, but temporality and causality should be further explored. PUBLIC SIGNIFICANCE STATEMENT: Our findings suggest that youth with loss of control eating and overweight/obesity may experience difficulties mentally retaining and manipulating numerical information in daily life relative to their peers with overweight/obesity and normal-weight status, which may contribute to the maintenance of dysregulated eating and/or elevated body weight. However, it is unclear whether these individual differences are related to eating behavior on a moment-to-moment basis.

An explanation for the accuracy of sensor-based measures of energy intake: Amount of food consumed matters more than dietary composition.

Understanding and intervening on eating behavior often necessitates measurement of energy intake (EI); however, commonly utilized and widely accepted methods vary in accuracy and place significant burden on users (e.g., food diaries), or are costly to implement (e.g., doubly labeled water). Thus, researchers have sought to leverage inexpensive and low-burden technologies such as wearable sensors for EI estimation. Paradoxically, one such methodology that estimates EI via smartwatch-based bite counting has demonstrated high accuracy in laboratory and free-living studies, despite only measuring the amount, not the composition, of food consumed. This secondary analysis sought to further explore this phenomenon by evaluating the degree to which EI can be explained by a sensor-based estimate of the amount consumed versus the energy density (ED) of the food consumed. Data were collected from 82 adults in free-living conditions (51.2% female, 31.7% racial and/or ethnic minority; Mage = 33.5, SD = 14.7) who wore a bite counter device on their wrist and used smartphone app to implement the Remote Food Photography Method (RFPM) to assess EI and ED for two weeks. Bite-based estimates of EI were generated via a previously validated algorithm. At a per-meal level, linear mixed effect models indicated that bite-based EI estimates accounted for 23.4% of the variance in RFPM-measured EI, while ED and presence of a beverage accounted for only 0.2% and 0.1% of the variance, respectively. For full days of intake, bite-based EI estimates and ED accounted for 41.5% and 0.2% of the variance, respectively. These results help to explain the viability of sensor-based EI estimation even in the absence of information about dietary composition.

Consistent exercise timing as a strategy to increase physical activity: A feasibility study.

Introduction/Purpose: Observational research suggests that consistent exercise timing could be leveraged to promote moderate-to-vigorous physical activity (MVPA) among adults with obesity. However, the feasibility and acceptability of prescribed consistent exercise timing in a free-living setting is unknown. The purpose of this study was to assess the feasibility and acceptability of prescribed consistent exercise timing in a free-living setting among inactive adults with obesity (primary) and to compare MVPA timing prescriptions and characterize exercise barriers/facilitators (secondary). Methods: Using a within-subjects design, inactive adults with obesity (n=15) were randomized in counterbalanced order to three 3-wk exercise timing conditions separated by 2-wk washout periods: 1) consistent morning, 2) consistent evening, and 3) choice timing (control). Feasibility was assessed using prespecified benchmarks. Acceptability and preferred timing were assessed with questionnaires post-intervention. Secondarily, exercise timing and MVPA were assessed via accelerometry and nightly surveys and barriers/facilitators were assessed with nightly surveys. Results: All feasibility benchmarks were achieved (e.g., timing adherence = 69.9% via accelerometry and 87.4% via self-report (target: ≥60%)). Consistent exercise timing was acceptable (mean rating = 3.7 of 5 (target: ≥3.5)). Choice was the most popular prescription. There were medium- to large-sized effects (partial η2 of 0.09-0.16) of condition on MVPA; MVPA was higher during the morning and evening conditions versus choice condition. Facilitators were similar across conditions, while some barriers were time specific. Conclusion: Prescribed exercise timing in a free-living setting appears feasible and acceptable. While choice timing was most preferred, consistent timing appeared most effective for increasing MVPA. Data warrant larger trials to test the efficacy and mechanisms of consistent exercise timing as a translational strategy for promoting MVPA. Pending findings from a fully powered randomized trial, practitioners interested in promoting MVPA among their patients or clients could consider encouraging exercise at a consistent time day-to-day.

Association of Migraine and Blood Pressure-Does Obesity Severity Have a Moderating Role?

BACKGROUND: The relationship between migraine and blood pressure (BP) is equivocal, warranting exploration of potential moderators. Obesity associates with both migraine and BP in a dose-dependent fashion, although its role as a moderator has not been evaluated. We examined the relation between migraine and BP in women with comorbid migraine and obesity, and whether this relation was influenced by obesity severity. METHODS: Women with migraine and obesity (n = 134) completed a 28-day headache diary before randomization to lifestyle intervention or migraine education. BP (systolic (SBP)/diastolic (DBP)), body mass index (BMI), and waist circumference (WC) were measured before diary completion. Hierarchical linear regression assessed associations between BP and migraine characteristics (headache frequency, duration, and pain intensity), and obesity severity (both total (BMI) and abdominal (WC)) as moderators of these associations. RESULTS: Participants (BMI = 35.4 ± 6.5 kg/m2; WC = 105.4 ± 15.6 cm, SBP = 113.1 ± 12.1/DPB = 68.1 ± 8.0 mmHg) reported 8.4 ± 4.5 migraine days that lasted 20.2 ± 15.9 h with mean pain intensity of 5.9 ± 1.6 on a 10-point scale. DBP inversely related to migraine days in both total (ß = - 0.226, p = .010) and abdominal (ß = 0.214, p = .015) obesity severity models. SBP and obesity severity did not relate to migraine characteristics. Obesity severity did not moderate relations between migraine characteristics and BP (p's > .05). CONCLUSION: Among women with comorbid migraine and obesity, DBP inversely related to migraine frequency; however, obesity severity did not affect the strength of this or other examined associations. Future studies including healthy weight controls and men and women with continuous BP measures are needed to confirm these findings and identify mechanisms and moderators.

Association of weight and shape concern with weight change and weight-related behaviors in behavioral weight loss treatment.

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).

Effects of a mobile health nutrition intervention on dietary intake in children who have autism spectrum disorder.

Background: Children who have Autism Spectrum Disorder (ASD) show preferences for processed foods, such as salty and sugary snacks (SSS) and sugar-sweetened beverages (SSB), while healthier foods, such as fruits and vegetables (FV), are consumed less. Innovative tools are needed that can efficiently disseminate evidence-based interventions and engage autistic children to improve their diet. Aim: The aim of this 3-month randomized trial was to test the initial efficacy of a mobile health (mHealth) nutrition intervention on changing consumption of targeted healthy (FV) and less healthy foods/beverages (SSS, SSB) in children who have ASD, ages 6-10, who were picky eaters. Methods: Thirty-eight parent-child dyads were randomly assigned to either an intervention (technology) group or a wait list control (education) group. The intervention included behavioral skills training, a high level of personalization for dietary goals, and involved parents as "agents of change." Parents in the education group received general nutrition education and the dietary goals but did not receive skills training. Children's intake was assessed at baseline and at 3 months using 24-hour dietary recalls. Results: While there were no significant group-by-time interactions (P > 0.25) for any of the primary outcomes, we found a significant main effect of time for FV intake (P = 0.04) indicating that both groups consumed more FV at 3 months (2.58 ± 0.30 servings/day) than at baseline (2.17 ± 0.28 servings/day; P = 0.03). Children in the intervention group who consumed few FV at baseline and showed high engagement with the technology increased their FV intake by 1.5 servings/day (P < 0.01). Children's taste/smell sensitivity significantly predicted their FV intake (P = 0.0446); for each unit of lower taste/smell sensitivity (indicating greater sensory processing abnormalities), FV intake increased by 0.13 ± 0.1 servings/day. Discussion: This mHealth intervention did not yield significant between-group differences for changing consumption of targeted foods/beverages. Only children who consumed few FV at baseline and highly engaged with the technology increased their FV intake at 3 months. Future research should test additional strategies to expand the intervention's impact on a wider range of foods while also reaching a broader group of children who have ASD. This trial was registered at clinicaltrials.gov as NCT03424811.Clinical Trial Registration: This study was registered at clinicaltrials.gov as NCT03424811.

Interrelationships of Sleep Quality, Obesity Severity, and Clinical Headache Features among Women with Comorbid Migraine and Obesity.

Obesity and migraine are often comorbid. Poor sleep quality is also common among individuals with migraine and may be influenced by comorbidities such as obesity. However, understanding of migraine's relationship with sleep and the potential exacerbating effect of obesity remains limited. This study evaluated the associations of migraine characteristics and clinical features with sleep quality among women with comorbid migraine and overweight/obesity and assessed the interplay between obesity severity and migraine characteristics/clinical features in relation to sleep quality. Women seeking treatment for migraine and obesity (n = 127; NCT01197196) completed a validated questionnaire assessing sleep quality (Pittsburgh Sleep Quality Index-PSQI). Migraine headache characteristics and clinical features were assessed using smartphone-based daily diaries. Weight was measured in-clinic, and several potential confounders were assessed using rigorous methods. Nearly 70% of participants endorsed poor sleep quality. Greater monthly migraine days and the presence of phonophobia related to poorer sleep quality, and specifically poorer sleep efficiency, controlling for confounders. Obesity severity was neither independently associated nor interacted with migraine characteristics/features to predict sleep quality. Poor sleep quality is common among women with comorbid migraine and overweight/obesity, although obesity severity does not appear to uniquely relate to or exacerbate the association between migraine and sleep in this population. Results can guide research on mechanisms of the migraine-sleep link and inform clinical care.

Associations of weather and air pollution with objective physical activity and sedentary time before and after bariatric surgery: a secondary analysis of a prospective cohort study.

Background--: Most metabolic and bariatric surgery (MBS) patients perform too little moderate-to-vigorous intensity physical activity (MVPA) and too much sedentary time (ST). Identifying factors that influence MVPA and ST in MBS patients is necessary to inform the development of interventions to target these behaviors. Research has focused on individual-level factors and neglected those related to the physical environment (e.g., weather and pollution). These factors may be especially important considering rapid climate change and emerging data that suggest adverse effects of weather and pollution on physical activity are more severe in people with obesity. Objectives--: To examine the associations of weather (maximal, average and Wet Bulb Globe Temperatures), and air pollution indices (air quality index [AQI]) with daily physical activity (PA) of both light (LPA) and MVPA and ST before and after MBS. Methods--: Participants (n=77) wore an accelerometer at pre- and 3, 6, and 12-months post-MBS to assess LPA/MVPA/ST (min/d). These data were combined with participants' local (Boston, MA or Providence, RI, USA) daily weather and AQI data (extracted from federal weather and environmental websites). Results--: Multilevel generalized additive models showed inverted U-shaped associations between weather indices and MVPA (R2≥.63, p<.001), with a marked reduction in MVPA for daily maximal temperatures ≥20°C. Sensitivity analysis showed a less marked decrease of MVPA (min/d) during higher temperatures after versus before MBS. Both MVPA before and after MBS (R2=0.64, p<.001) and ST before MBS (R2=0.395; p≤.05) were negatively impacted by higher AQI levels. Discussion--: This study is the first to show that weather and air pollution indices are related to variability in activity behaviors, particularly MVPA, during pre- and post-MBS. Weather/environmental conditions should be considered in MVPA prescription/strategies for MBS patients, especially in the context of climate change.

Characterizing the Course of Loss of Control Eating and Prognostic Factors Following Bariatric Surgery: an Exploratory Analysis.

PURPOSE: Postoperative loss of control eating (LOCE) has detrimental associations with weight outcomes and mental health following bariatric surgery. However, little is known regarding LOCE course following surgery and preoperative factors that predict remittance, continuance, or development of LOCE. The present study aimed to characterize LOCE course in the year following surgery by identifying four groups: individuals with (1) postoperative de novo LOCE, (2) maintained LOCE (endorsed at pre- and post-surgery), (3) remitted LOCE (endorsed only at pre-surgery), and (4) those who never endorsed LOCE. Exploratory analyses examined group differences in baseline demographic and psychosocial factors. MATERIALS AND METHODS: A total of 61 adult bariatric surgery patients completed questionnaires and ecological momentary assessment at pre-surgery and 3-, 6-, and 12-month postoperative follow-ups. RESULTS: Results showed that 13 (21.3%) never endorsed LOCE prior to or after surgery, 12 (19.7%) developed LOCE after surgery, 7 (11.5%) evidenced remittance from LOCE after surgery, and 29 (47.5%) maintained LOCE prior to and after surgery. Relative to those who never endorsed LOCE, all groups who evidenced LOCE before and/or after surgery reported greater disinhibition; those who developed LOCE reported less planned eating; and those with maintained LOCE reported less satiety sensitivity and greater hedonic hunger. CONCLUSION: These findings highlight the importance of postoperative LOCE and need for longer-term follow-up studies. Results also suggest a need to examine the longer-term impact of satiety sensitivity and hedonic eating on LOCE maintenance, and the extent to which meal planning may buffer risk for de novo LOCE following surgery.

Real-time versus retrospective self-report assessment of loss-of-control eating in adults undergoing bariatric surgery.

OBJECTIVE: Loss-of-control (LOC) eating is common in adults undergoing bariatric surgery. Agreement between real-time and retrospective assessment methods is unclear. METHODS: Adults with severe obesity reported on LOC eating over the preceding 28 days via Eating Disorder Examination-Questionnaire (EDE-Q) items and in near real time over 10 days via ecological momentary assessment (EMA; involving daily repeated surveys delivered via smartphone in the natural environment), with both assessment forms completed before surgery and at 3, 6, and 12 months after surgery. Wilcoxon signed rank tests and generalized linear mixed models were used to compare participants' EDE-Q and EMA reports of subjectively and objectively large LOC episodes across time points. RESULTS: Participants reported subjectively large LOC episodes more frequently via EMA than EDE-Q across time points, although differences did not reach statistical significance (all p > 0.05). Conversely, objectively large LOC episodes were more frequently reported via EDE-Q than EMA, with differences reaching significance at 6 months post surgery only (p = 0.03). CONCLUSIONS: Agreement between real-time and retrospective assessments of LOC eating varied by episode size and time elapsed in the year following surgery. These findings should be considered when designing assessment batteries for bariatric surgery-seeking adults and when extrapolating research findings across studies with diverging methods of real-time versus retrospective self-report assessment of LOC eating in adults undergoing bariatric surgery.

Physical activity changes during an automated online weight loss program.

Evidence-based online behavioral weight loss (BWL) treatment targets a combination of diet, physical activity, and behavioral skills training. While weight loss outcomes are well documented, little is known about changes in physical activity. This study examined changes in objectively measured physical activity across the energy expenditure spectrum during a fully automated, online BWL program. Adults with overweight or obesity (n = 63) completed a 12-week, online BWL program. Participants wore an accelerometer for 7 days and body weight was measured in-clinic at pre- and post-treatment. At post-treatment, mean daily moderate-to-vigorous physical activity increased by about 4 min (SE = 1.59, p = 0.01). There were no statistically significant changes in light physical activity or time spent sedentary (p's > 0.05). Despite only minimal changes in moderate-to-vigorous physical activity overall, larger increases correlated with greater weight loss (r = - 0.28, p = 0.02), which averaged 6.1% of baseline weight at post-treatment. Though achieving important weight loss outcomes, online programs may fail to produce clinically relevant improvements in physical activity, which can put weight loss maintenance at risk.

Ecological momentary assessment of changes in eating behaviors, appetite, and other aspects of eating regulation in Roux-en-Y gastric bypass and sleeve gastrectomy patients.

Bariatric surgery can have profound impacts on eating behaviors and experiences, yet most prior research studying these changes has relied on retrospective self-report measures with limited precision and susceptibility to bias. This study used smartphone-based ecological momentary assessment (EMA) to evaluate the trajectory of change in eating behaviors, appetite, and other aspects of eating regulation in 71 Roux-en-Y gastric bypass and sleeve gastrectomy patients assessed preoperatively and at 3, 6, and 12-months postoperative. For some outcomes, results showed a consistent and similar pattern for SG and RYGB where consumption of sweet and high-fat foods and hunger, desire to eat, ability to eat right now, and satisfaction with amount eaten all improved from pre-to 6-months post-surgery with some degree of deterioration at 12-months post-surgery. By contrast, other variables, largely related to hedonic hunger and craving and desire for specific foods, showed less consistent patterns that differed by surgery type. While the findings suggest an overall pattern of improvement in eating patterns following bariatric surgery, they also highlight how a return to preoperative habits may begin as early as 6 months after surgery. Additional research is needed to understand mechanisms that promote changes in eating behavior after surgery, and how best to intervene to preserve beneficial effects.

Characterizing emotional eating: Ecological momentary assessment with person-specific modeling.

Emotional eating is a topic of clinical importance, with links to weight regulation and wellness. However, issues of concept clarity and measurement can interfere with efforts to understand and intervene on emotional eating. One explanation for prior difficulties in defining emotional eating may be that this construct is not uniform across individuals. The current study critically examined emotional eating by combining ecological momentary assessment (EMA) with an idiographic analytic approach. The study examined the heterogeneity in the emotions and dysregulated eating behaviors often thought to underlie emotional eating, by establishing and comparing latent factor profiles across individuals. Ten community adults with overweight or obesity completed a 21-day EMA protocol, with 5 daily prompts to report on relevant emotions and eating behaviors. P-technique factor analysis was used to examine the data. Results suggested variability across individuals in the number of factors that emerged, the items that loaded on each factor, and the strength of loadings. Dysregulated eating was not found to covary with affective states strongly enough to produce a distinct "emotional eating" factor for any individual, nor did the correlations between factors suggest strong relationships between emotions and dysregulated eating for most participants, even in this sample with 90% of participants self-identifying as "emotional eaters." Findings are consistent with a growing body of literature questioning the validity of the "emotional eating" construct as currently defined and measured, and supports conceptualizing emotional eating as a locally heterogenous construct that varies between people. Combining EMA with an intra-individual modeling technique appears to be a promising approach for understanding emotional eating. Additional work with larger samples is needed to capture the full range in individual profiles.

AIM2ACT: Randomized controlled trial protocol for a mobile health intervention for early adolescents with asthma.

Early adolescents diagnosed with asthma have difficulties consistently performing disease self-management behaviors, placing them at-risk for poor asthma control, morbidity, and reduced quality of life. Helpful caregiver support is pivotal in determining whether early adolescents develop and master asthma self-management behaviors. We developed Applying Interactive Mobile health to Asthma Care in Teens (AIM2ACT), a mobile health intervention to facilitate helpful caregiver support in early adolescents (12-15 year-olds) with poorly controlled asthma. AIM2ACT is a dyadic smartphone intervention that contains three components: 1) ecological momentary assessment to identify personalized strengths and weaknesses in asthma self-management behaviors; 2) collaborative identification and tracking of goals that help early adolescents to become increasingly independent in managing their asthma; and 3) a suite of skills training videos. This paper describes our plans to test the efficacy of AIM2ACT and evaluate long-term maintenance of treatment effects in a fully powered randomized controlled trial with 160 early adolescents with poorly controlled persistent asthma, ages 12-15 years, and a caregiver. Families will be randomly assigned to receive AIM2ACT (n = 80) or a mHealth attention control condition (n = 80) that accounts for attention and novelty of a technology-based intervention for 6 months. Assessments will occur at baseline, post-intervention, and 3-, 6-, and 12-month follow-up time points. We will collect patient-reported and objectively monitored (e.g., spirometry, adherence) outcomes. Given the timing of the trial, a secondary exploratory goal is to evaluate the perceived impact of COVID-19 on family functioning and parental control of their adolescent's asthma in the context of our intervention.

Body mass index and variability in meal duration and association with rate of eating.

Background: A fast rate of eating is associated with a higher risk for obesity but existing studies are limited by reliance on self-report and the consistency of eating rate has not been examined across all meals in a day. The goal of the current analysis was to examine associations between meal duration, rate of eating, and body mass index (BMI) and to assess the variance of meal duration and eating rate across different meals during the day. Methods: Using an observational cross-sectional study design, non-smoking participants aged 18-45 years (N = 29) consumed all meals (breakfast, lunch, and dinner) on a single day in a pseudo free-living environment. Participants were allowed to choose any food and beverages from a University food court and consume their desired amount with no time restrictions. Weighed food records and a log of meal start and end times, to calculate duration, were obtained by a trained research assistant. Spearman's correlations and multiple linear regressions examined associations between BMI and meal duration and rate of eating. Results: Participants were 65% male and 48% white. A shorter meal duration was associated with a higher BMI at breakfast but not lunch or dinner, after adjusting for age and sex (p = 0.03). Faster rate of eating was associated with higher BMI across all meals (p = 0.04) and higher energy intake for all meals (p < 0.001). Intra-individual rates of eating were not significantly different across breakfast, lunch, and dinner (p = 0.96). Conclusion: Shorter beakfast and a faster rate of eating across all meals were associated with higher BMI in a pseudo free-living environment. An individual's rate of eating is constant over all meals in a day. These data support weight reduction interventions focusing on the rate of eating at all meals throughout the day and provide evidence for specifically directing attention to breakfast eating behaviors.

Dietary lapses are associated with meaningful elevations in daily caloric intake and added sugar consumption during a lifestyle modification intervention.

Objective: Lapses from the dietary prescription in lifestyle modification interventions for overweight/obesity are common and impact weight loss outcomes. While it is expected that lapses influence weight via increased consumption, there are no studies that have evaluated how dietary lapses affect dietary intake during treatment. This study examined the association between daily lapses and daily energy and macronutrient intake during a lifestyle modification intervention. Methods: This study used an intensive longitudinal design to observe participants throughout a 6-month lifestyle modification intervention. Participants (n = 32) were adults with overweight/obesity (body mass index 25-50 kg/m2) and a diagnosed cardiovascular disease risk factor (e.g., hypertension) with a desire to lose weight. Participants underwent a gold-standard individual in-person lifestyle modification protocol consisting of 3 months of weekly sessions with 3 months of monthly sessions. Each participant's dietary prescription included a calorie target range that was based on their starting weight. Participants completed ecological momentary assessment (EMA; repeated daily smartphone surveys) every other week to self-report on dietary lapses and telephone-based 24-h dietary recalls every 6 weeks. Results: On days with EMA and recalled intake (n = 210 days), linear mixed models demonstrated significant associations between daily lapse and higher total daily caloric intake (B = 139.20, p < 0.05), more daily grams of added sugar (B = 16.24, p < 0.001), and likelihood of exceeding the daily calorie goal (B = 0.89, p < 0.05). The associations between daily lapse and intake of all other daily macronutrients were non-significant. Conclusions: This study contributes to literature suggesting that dietary lapses pose a threat to weight loss success. Results indicate that reducing lapse frequency could reduce overall caloric intake and added sugar consumption.

Pragmatic implementation of a fully automated online obesity treatment in primary care.

OBJECTIVE: Behavioral obesity treatment implemented in primary care is efficacious but typically involves face-to-face or phone contact. This study evaluated enrollment, engagement, and 12-week weight loss in a fully automated online behavioral weight-loss intervention implemented pragmatically in a primary care network. METHODS: As part of routine primary care, providers and nurse care managers offered a no-cost online obesity treatment program to 1,721 patients. Of these, 721 consented and were eligible (aged 18-75 years with BMI ≥ 25 kg/m2 and internet access), and 464 started the program. The program included 12 weekly online lessons, a self-monitoring platform, and automated feedback. RESULTS: More than one-quarter of patients who were offered the program (26%) initiated treatment. In intent-to-treat analyses using all data available, mean 12-week weight change was -5.10% (SE = 0.21). Patients who submitted their weights on all 12 weeks (37% of 464) lost an estimated 7.2% body weight versus 3.4% in those submitting less frequently. CONCLUSIONS: This fully automated online program, implemented into the routine workflow of a primary care setting without any human counseling or researcher involvement, produced clinically meaningful short-term weight loss. Greater program engagement was associated with greater weight loss; efforts are needed to understand barriers to engagement.