Caregiver perceptions of child heath behaviors and weight during treatment for acute lymphoblastic leukemia.

BACKGROUND: Changes in health behaviors and weight are common during the early phases of pediatric acute lymphoblastic leukemia treatment, and may negatively impact treatment tolerability. Given that ALL is most prevalent in children, caregivers play an essential role in shaping health behaviors during treatment. This study presents a qualitative analysis of semi-structured interviews with caregivers of youth in the early phases of ALL treatment. PROCEDURE: Caregivers (N = 17, 95% female) of a child (M age = 6.76 years) diagnosed with ALL and on treatment for less than 1 year (M = 8.7 months since diagnosis) completed a semi-structured interview about perceptions of their child's nutrition, physical activity, sedentary time, and weight during ALL treatment. Thematic analysis followed Braun and Clark's six-step framework (2006). Two coders established reliability (alpha = .88) and used a multi-pass coding system to extract themes. RESULTS: Caregivers' concerns around their child's weight during ALL treatment primarily centered around avoiding malnutrition. Weight gain during treatment was less of a concern and often viewed as protective. Caregivers reported encouraging their child to eat palatable, calorie-dense foods to mitigate risk for weight loss. Caregivers also expressed concern that children were less active and more sedentary due to treatment-related pain. Caregivers discussed health behaviors during treatment as being child-directed, rather than parent- or provider-directed. CONCLUSION: Future interventions may consider strategies to engage in joint parent-child decisions and caregiver education around risks of excessive weight gain during treatment. Interventions should include anticipatory guidance and aim to support parents in developing skills to support their child's health behaviors during treatment.

Family Rules and Routines During the Early Phases of Pediatric Cancer Treatment: Associations With Child Emotional and Behavioral Health.

OBJECTIVE: Consistent family rules and routines promote positive adaptation to stress and may be protective to child emotional and behavioral functioning. Few studies have quantified family engagement in these behaviors during pediatric cancer treatment or examined associations with child emotional and behavioral health. METHODS: In this cross-sectional observational study, 86 primary caregivers of youth ages 2-14 years (M = 7.9) with an initial diagnosis of cancer within 16 weeks reported on their frequency of engagement in family rules and routines (e.g., sleep, schoolwork, and meal routines) before their child's cancer diagnosis and their current frequency of engagement in the same routines. Caregivers also reported demographics, psychosocial distress, and child emotional and behavioral health outcomes. Analyses examined demographic and psychosocial factors associated with engagement in rules and routines during cancer treatment, and associations with child emotional and behavioral health. RESULTS: Families reported a lower frequency of engagement in rules and routines during cancer treatment, compared to before treatment (mean difference 0.8 SDs [95% confidence interval 0.7-1.1 SDs]). Caregiver factors associated with lower engagement in rules and routines during treatment included being married, having lower educational attainment, and higher levels of psychosocial distress. Families who engaged in higher levels of rules and routines during treatment reported fewer child externalizing and behavioral challenges. There was limited evidence of association between family rules and routines and child internalizing outcomes. CONCLUSIONS: Results found that engaging in family rules and routines during cancer treatment was associated with fewer child behavioral challenges during treatment. Future directions include longitudinal examinations of family rules, routines, and child emotional/behavioral outcomes to examine directional impact over time.

Association between frailty and sleep quality in people living with multiple sclerosis and obesity: An observational cross-sectional study.

BACKGROUND: A majority of the people with multiple sclerosis (pwMS) experience sleep disturbances. Frailty is also common in pwMS. The geriatric literature strongly suggests that frailty is associated with worse sleep outcomes in community-dwelling older adults, but this association has yet to be explored among pwMS. This study focused on examining the association between frailty and sleep quality in pwMS. METHODS: Seventy-six people with both MS and obesity (mean age: 47.6 ± 10.9 years, 81.6 % female, mean body mass index (BMI): 37.10 ± 5.5 kg/m2, mean Patient Determined Disease Steps (PDDS): 0.82 ± 1.20) were included in this cross-sectional secondary analysis. A comprehensive frailty index (FI) based on 41 health deficits from various health domains was calculated based on standardized procedures. Sleep quality was determined by the Pittsburgh Sleep Quality Index questionnaire (PSQI). RESULTS: Overall, 67.1 % of the participants were identified as non-frail (FI ≤ 0.25), and 32.9 % were identified as frail (FI > 0.25). A significant correlation was observed between FI scores and global PSQI scores (ρ = 0.43, p < 0.05). Cross-tabulation analyses revealed that frail participants had worse subjective sleep quality, sleep latency, habitual sleep efficiency, sleep disturbances, daytime dysfunction, and higher use of sleep medications compared to non-frail participants (p < 0.05). CONCLUSIONS: The current study identified a significant association between frailty and sleep quality in people with both MS and obesity with minimal disability. These findings underscore the importance of untangling the relationship between frailty and sleep quality in pwMS. These results could lead to a more targeted approach for rehabilitation interventions aiming to improve frailty in MS.

Cancer Prevention Perspective: The University of Kansas Cancer Center.

Despite the incredible progress that has been made against cancer over the last few decades, the demographic trends in the United States predict that we will see significant increases in cancer incidence and mortality by the year 2030. This, coupled with an aging cancer workforce, would suggest that we will have major challenges ahead in dealing with the increasing burden from cancer. Clearly a critical part of our strategy must be to focus on cancer prevention and control (CPC) efforts and not solely rely on treatment to mitigate this concerning trend. This review discusses how the University of Kansas Cancer Center has had a longstanding emphasis on CPC and has leveraged this expertise to enhance the effectiveness and impact of our community outreach and engagement efforts.

Modifying diet and exercise in multiple sclerosis (MoDEMS): A randomized controlled trial for behavioral weight loss in adults with multiple sclerosis and obesity.

BACKGROUND: Obesity is a risk factor for developing multiple sclerosis (MS) and MS-related disability. The efficacy of behavioral weight loss interventions among people with MS (pwMS) remains largely unknown. OBJECTIVE: Examine whether a group-based telehealth weight loss intervention produces clinically significant weight loss in pwMS and obesity. METHODS: Seventy-one pwMS were randomized to the weight loss intervention or treatment-as-usual (TAU). The 6-month program promoted established guidelines for calorie reduction and increased physical activity. Anthropometric measurements, mobility tasks, self-report questionnaires, and accelerometry were used to assess changes at follow-up. RESULTS: Mean percent weight loss in the treatment group was 8.6% compared to 0.7% in the TAU group (p < .001). Sixty-five percent of participants in the intervention achieved clinically meaningful weight loss (⩾ 5%). Participants in the treatment group engaged in 46.2 minutes/week more moderate-to-vigorous physical activity than TAU participants (p = .017) and showed improvements in quality of life (p = .012). Weight loss was associated with improved mobility (p = .003) and reduced fatiguability (p = .008). CONCLUSION: Findings demonstrate the efficacy of a behavioral intervention for pwMS and obesity, with clinically significant weight loss for two-thirds of participants in the treatment condition. Weight loss may also lead to improved mobility and quality of life.

A pilot study evaluating the prefeasibility of a behavioral weight loss program in people with multiple sclerosis.

Weight loss interventions seldom include individuals with neurologic disease. The aims of the present study were to: 1) develop and assess the prefeasibility of a 6-month telehealth behavioral weight loss program for people with multiple sclerosis (MS) and obesity and 2) examine changes in weight loss (primary outcome), physical activity, and fruit/vegetable consumption at follow-up. Participants with obesity and MS engaged in a 24-week weight loss program. Participants followed established diet, exercise, and self-monitoring guidelines and attended weekly online group meetings. Median percentage weight loss was 10.54 % (SD = 7.19). Participants who adhered more closely to the self-monitoring guidelines (r = 0.81, p =.02), and who averaged higher weekly active minutes (r = 0.91, p =.002) achieved greater percentage weight loss. Six of the eight pilot participants achieved clinically meaningful weight loss (>5%) after 6-months.

Electronic Monitoring of Mom's Schedule (eMOMSTM): A Qualitative Study of Experiences in a Lifestyle Change Program with Lactation Support.

PURPOSE: To elicit feedback from participants who completed the eMOMSTM study, a feasibility randomized controlled trial (NCT04021602), on their perceptions of program strengths and weaknesses. STUDY DESIGN: Qualitative - Semi-structured, telephone interview guide using open-ended questions. SETTING: Rural Great Plains state, United States. PARTICIPANTS: Of 26 individuals who completed the eMOMSTM study, 24 consented to an interview. METHOD: Interviews were completed between October 2020 and May 2021. Audio-recordings were transcribed verbatim and organized in Microsoft 365. Data were analyzed using an exploratory, inductive thematic analysis. RESULTS: Participants' mean age was 27.5 (± 5.4) years and mean pre-pregnancy BMI was 29.5 kg/m2 (± 2.7). The majority (71%) were non-Hispanic White and 54% had a high school education/some college. Based on specific areas of inquiry, the following themes emerged: convenience of online program access using Facebook, importance of health coach's support and online interaction, positivity toward improving one's health, increased consciousness of health behaviors, diverse lactation educational needs, importance of educational materials on depression, and grief over the loss of birth expectations during COVID-19. CONCLUSION: Findings suggest participants' perceived value of a lifestyle change program coupled with lactation education and support delivered using social media. Findings inform future studies to further adapt lifestyle change programs.

Electronic Monitoring Of Mom's Schedule (eMOMSTM): Recruitment of pregnant populations with elevated BMI in a feasibility randomized controlled trial.

Underrepresentation of pregnant populations in randomized controlled trials of lifestyle change interventions is concerning due to high attrition and providers' limited clinical time. The purpose of this evaluative study was to assess intervention uptake of pregnant individuals enrolled in a three-arm feasibility randomized controlled trial, electronic Monitoring Of Mom's Schedule (eMOMSTM), examining lifestyle changes and lactation support alone, and in combination. Measures included: (1) participation and completion rates, and characteristics of intervention completers versus other eligible participants; and (2) provider experiences with screening and enrolling pregnant participants. Pregnant people with a pre-pregnancy body mass index ≥ 25 and < 35 kg/m2 were enrolled into the eMOMSTM trial between September 2019 - December 2020. Of the 44 consented participants, 35 were randomized, at a participation rate of 35%, and 26 completed the intervention, resulting in a completion rate of 74%. Intervention completers were slightly older and entered the study earlier in pregnancy compared to non-completers. Completers were more likely to be first-time mothers, resided in urban areas, had higher educational attainment, and were slightly more racially and ethnically diverse. A majority of providers reported willingness to participate, believed the study aligned with their organization's mission, and were satisfied with using iPads for screening. Lessons learned to guide recruitment success include use of: (1) designated research staff in combination with physician support; and (2) user-friendly technology to help mitigate time burden on physicians and their staff. Future work should focus on successful strategies to recruit/retain pregnant populations in clinical trials.

Recruitment and reach in a school-based pediatric obesity intervention trial in rural areas.

Introduction: The purpose of this study is to evaluate two recruitment strategies on schools and participant participation rates and representativeness (reach) within a pediatric obesity treatment trial tailored for families who live in rural areas. Methods: Recruitment of schools was evaluated based on their progress toward enrolling participants. Recruitment and reach of participants were evaluated using (1) participation rates and (2) representativeness of demographics and weight status of participants compared to eligible participants (who did not consent and enroll) and all students (regardless of eligibility). School recruitment, as well as participant recruitment and reach, were evaluated across recruitment methods comparing opt-in (i.e., caregivers agreed to allow their child to be screened for eligibility) vs. screen-first (i.e., all children screened for eligibility). Results: Of the 395 schools contacted, 34 schools (8.6%) expressed initial interest; of these, 27 (79%) proceeded to recruit participants, and 18 (53%) ultimately participated in the program. Of schools who initiated recruitment, 75% of schools using the opt-in method and 60% of schools using the screen-first method continued participation and were able to recruit a sufficient number of participants. The average participation rate (number of enrolled individuals divided by those who were eligible) from all 18 schools was 21.6%. This percentage was higher in schools using the screen-first method (average of 29.7%) compared to schools using the opt-in method (13.5%). Study participants were representative of the student population based on sex (female), race (White), and eligibility for free and reduced-price lunch. Study participants had higher body mass index (BMI) metrics (BMI, BMIz, and BMI%) than eligible non-participants. Conclusions: Schools using the opt-in recruitment were more likely to enroll at least 5 families and administer the intervention. However, the participation rate was higher in screen-first schools. The overall study sample was representative of the school demographics.

Weight change and mental health status in a behavioral weight loss trial.

BACKGROUND: Obesity, depression, and anxiety often co-occur, but research on weight change and mental health status is limited. This analysis examined how the mental component score (MCS-12) from the Short Form health survey changed over 24 months in weight loss trial participants with vs. without treatment seeking for affective symptoms (TxASx) and by weight change quintiles. METHODS: Participants with complete data (n = 1163) were analyzed from enrollees in a cluster-randomized, behavioral weight loss trial in rural U.S. Midwestern primary care practices. Participants received a lifestyle intervention with different delivery models, including in-clinic individual, in-clinic group, or telephone group counseling visits. Participants were stratified by baseline TxASx status and 24-month weight change quintiles. Mixed models were used to estimate MCS-12 scores. RESULTS: There was a significant group-by-time interaction at the 24-month follow-up. The largest 0-24 month increase in MCS-12 scores (+5.3 points [12 %]) was observed in participants with TxASx who lost the most weight during the trial, while the largest decrease in MCS-12 scores (-1.8 points [-3 %]) was observed in participants without TxASx who gained the most weight (p < 0.001). LIMITATIONS: Notable limitations included self-reported mental health, the observational analytical design, and a largely homogenous source population, as well as the possibility of reverse causation biasing some findings. CONCLUSIONS: Mental health status generally improved, particularly among participants with TxASx who experienced significant weight loss. Those without TxASx who gained weight, however, had a decline in mental health status over 24 months. Replication of these findings is warranted.

Rationale and design of integrating a parents first obesity intervention with a pediatric weight management intervention for rural families - Evaluating the ripple effect.

Rural families are disproportionately affected by obesity. Obesity often runs in families and is impacted by hereditary components, the shared home environment, and parent modeling/child observational learning. Moreover, parent changes in weight predict child changes in weight. Thus, targeting the family unit has the potential to enhance outcomes for adults and children simultaneously. Additionally, engaging rural nurses in medical clinics and schools may be important in determining whether rural telehealth programs are successfully implemented and sustained. This paper describes the rationale and design of a randomized control trial (RCT) evaluating the effectiveness of an integrated adult- and child-focused obesity treatment tailored for rural participants. Outcomes of this study include participant weight loss from baseline to 9-months, device-measured physical activity, and dietary intake. This project will additionally compare reach between clinic and school settings and evaluate the impact of nurse engagement. This study will include 240 participants from eight rural communities who will be randomized to either a Parent +Family-based group or a Newsletter +Family-based group. Parents in the Parent +Family-based group will receive a 3-month adult obesity treatment designed for adult behavior change as a first step. Then, parents and children together will enter the family-based program (iAmHealthy), allowing for potential enhancement of a theorized ripple effect. Parents in the Newsletter +Family-based group will receive 3 monthly newsletters and then participate in the 6-month family-based intervention designed for child behavior change. This study is the first RCT to examine the effectiveness of an integrated adult- and child-focused obesity treatment program. Registered with ClinicalTrials.gov NCT ID NCT05612971.

Parents of minor children lose less weight during a behavioral weight loss intervention: Findings from the Rural LEAP trial.

Objective: The transition to parenthood is associated with worsening health behaviors, yet the impact of parental status on successful weight loss has rarely been examined. The purpose of this study was to examine the effect of parental status of minor children on weight loss and behavioral adherence in a rural community-based weight loss intervention. Methods: Five hundred and twenty-eight adults (age 21-75 years, body mass index [BMI] 30-45 kg/m2) were enrolled in a group-based weight loss intervention consisting of 16 weekly sessions delivered in face-to-face group sessions at Cooperative Extension Service (CES) offices. Participants who were parents with at least one minor child (≤18 years old) in the home were compared to participants with no minor children in the home. Measures included percent weight loss, session attendance, adherence to self-monitoring, and achieving calorie and physical activity goals. Results: Compared to participants without minor children, parents with minor children lost significantly less weight (7.5% vs. 6.2%, respectively; p = 0.01), and were less likely to lose ≥5% of baseline weight (59.2% vs. 70.2%, respectively; p = 0.02). In addition, parents with minor children attended significantly fewer sessions, had lower adherence to self-monitoring, and met calorie and step goals less often (all ps < 0.001). The association between parental status and percent weight loss was not significantly moderated by gender of the parent. Conclusions: Parents of minor children had greater difficulty adhering to intervention goals and lost less weight than participants without minor children. Future research should investigate whether tailoring intervention to meet the unique needs of parents can enhance outcomes, especially given the large segment of the population represented by this group.

The impact of COVID-19 on rural treatment-seeking families with children with overweight or obesity.

To examine the early impact of the COVID-19 pandemic on rural parental stress and family behaviors, parents who participated in a 2nd-4th grade pediatric obesity intervention completed a survey in May 2020. Parents (N=77) experienced 7.8±2.7 events on the COVID-19 Exposure and Family Impact Scales (CEFIS) with an average impact of 2.5±0.5, with many parents reporting moderate stress (73%). Parental stress was predictive of personal well-being getting 'worse' while loss of income events were predictive of family routines getting 'better.' Professionals working with rural families may want to assess for these factors when promoting positive changes in family health behaviors.

A Framework for Equitable Partnerships to Promote Cancer Prevention and Control in Rural Settings.

Rural populations continue to experience persistent cancer disparities compared with urban populations particularly in cancers that can be prevented or detected early through screening and vaccination. Although the National Cancer Institute and the larger cancer research community have identified rural community partnerships as the foundation for reducing the disparities, we have identified limited application of community-based participatory research in cancer prevention and control research. Guided by the Community-Based Participatory Research Conceptual Model and our collective experience, we provide a framework for a community-cancer center partnership that focuses on promoting health equity. In this commentary, we articulate that the partnership process must foster capacity for communities and cancer centers, strive for rural representation in clinical trials and biobanking, build a pipeline for dissemination and implementation research, and create a bidirectional flow of knowledge between communities and academic institutions. Authentic partnerships with rural communities should be the ultimate goal of cancer centers, and the process described in this commentary can serve as an initial platform to build capacity and continue to strive toward that goal.

The association between the obesogenic environment and 6-month and 24-month weight change in a rural weight loss intervention trial in the United States.

The unique obesogenic environment may influence the ability to effectively maintain weight loss in rural areas. The aim of this study was to examine the contextual relationship of neighborhood disadvantage, distance to supermarkets and supercenters, and fast food, dollar store, and exercise facility environments on weight loss following a weight-loss intervention in the United States. This analysis (n = 1177) linked weight loss outcomes from a rural, primary care-based randomized controlled trial to contextual data collected from residential addresses. Outcomes include 6-month and 24-month percent weight loss. These outcomes were compared across contextual variables, including tract level disadvantage, food accessibility, and food/exercise availability. Covariates were included in ordinary least squares (OLS) multivariable regression models for 6-month and 24-month weight loss measures, across three weight loss interventions. Contextual variables were not significantly related to percent weight loss overall across treatment arms. Participants living in a 5-mile buffer to dollar stores experienced approximately a 2% (p < 0.05) lower weight loss, but only in the least effective counseling arm (individual clinic visits), while controlling for both individual and contextual factors. Our results suggest that specific contextual variables in rural populations may play an important role in moderating weight loss outcomes especially under the conditions of less effective interventions.

The effect of nonpharmaceutical weight-loss interventions in rural patients with diabetes: RE-POWER Diabetes.

OBJECTIVE: In this secondary analysis of the Rural Engagement in Primary Care for Optimizing Weight Reduction (RE-POWER) randomized trial, the authors determined the effectiveness of weight-loss interventions in people with diabetes compared with those without diabetes living in rural areas. METHODS: The RE-POWER study was a randomized trial designed to determine the effectiveness of nonpharmacological behavioral weight-loss interventions in rural participants with obesity, comparing the individual in-clinic visit model to in-person group sessions and phone group sessions over 24 months. In this secondary analysis, weight loss was compared in participants with and without diabetes. The effects of factors such as medications, insulin, and behavioral factors were compared. RESULTS: Participants with diabetes were less likely to lose weight during the study compared with those without diabetes up to 18 months (4.12% vs. 5.31%; net difference = 1.46%; 95% CI: 0.63%-2.28%). Participants with diabetes on insulin lost less weight than patients with diabetes not on insulin at 6 months (4.52% vs. 6.88%; net difference = 2.35%; 95% CI: 0.55%-4.16%). The group with diabetes had significantly lower changes in blood pressure and lipid parameters versus the group without diabetes. CONCLUSIONS: Patients with diabetes in rural areas were less likely to lose weight, and metabolic parameters were less responsive to weight loss, compared with patients without diabetes.

Travel burden in a rural primary care behavioral weight loss randomized trial: Impact on visit attendance and weight loss.

PURPOSE: Rural residents have higher obesity rates and need access to treatment. Travel burden may limit use and effectiveness of clinic-based behavioral weight loss treatment, which includes frequent visits. This paper examines the impact of travel distance and time on visit attendance and weight loss during a 2-year cluster randomized trial. METHODS: Thirty-six primary care practices were randomized to 1 of 3 methods of providing behavioral weight loss counseling: individual clinic visits, group clinic visits, or group phone visits. Participants in the clinic visit conditions were included in this secondary analysis (n = 875). Travel distance and time was measured using ArcGIS and categorized as <15 miles (and minutes) or ≥15 miles (and minutes). Percent visit attendance and percent weight loss were measured 6 and 24 months. FINDINGS: Participants traveling ≥15 miles (n = 211) had lower attendance than those traveling <15 miles (n = 664) for individual clinic visits, both in the first 6 months (81.4% vs 89.1%, respectively; P = .005) and between 7 and 24 months (52.8% vs 61.6%, respectively; P = .02). Travel time revealed similar findings. Neither travel distance nor time had an effect on attendance to group clinic visits. Travel distance and time were not significantly associated with weight loss for either individual or group visits. CONCLUSION: Travel burden to clinics was associated with visit attendance for individual visits but not for group visits and was not significantly associated with weight loss. Assessment of travel burden as a potential barrier to clinic-based weight loss interventions should be based on local empirical data.

Differential impact of telehealth extended-care programs for weight-loss maintenance in African American versus white adults.

Extended-care interventions have been demonstrated to improve maintenance of weight loss after the end of initial obesity treatment; however, it is unclear whether these programs are similarly effective for African American versus White participants. The current study examined differences in effectiveness of individual versus group telephone-based extended-care on weight regain, compared to educational control, in 410 African American (n = 82) and White (n = 328) adults with obesity (mean ± SD age = 55.6 ± 10.3 years, BMI = 36.4 ± 3.7 kg/m2). After controlling for initial weight loss, multivariate linear models demonstrated a significant interaction between treatment condition and race, p = .048. Randomization to the individual telephone condition produced the least amount of weight regain in White participants, while the group condition produced the least amount of weight regain in African American participants. Future research should investigate the role of social support in regain for African American versus White participants and examine whether tailoring delivery format by race may improve long-term outcomes.

Unifying the analysis of continuous and categorical measures of weight loss and incorporating group effect: a secondary re-analysis of a large cluster randomized clinical trial using Bayesian approach.

BACKGROUND: Although frequentist paradigm has been the predominant approach to clinical studies for decades, some limitations associated with the frequentist null hypothesis significance testing have been recognized. Bayesian approaches can provide additional insights into data interpretation and inference by deriving posterior distributions of model parameters reflecting the clinical interest. In this article, we sought to demonstrate how Bayesian approaches can improve the data interpretation by reanalyzing the Rural Engagement in Primary Care for Optimizing Weight Reduction (REPOWER). METHODS: REPOWER is a cluster randomized clinical trial comparing three care delivery models: in-clinic individual visits, in-clinic group visits, and phone-based group visits. The primary endpoint was weight loss at 24 months and the secondary endpoints included the proportions of achieving 5 and 10% weight loss at 24 months. We reanalyzed the data using a three-level Bayesian hierarchical model. The posterior distributions of weight loss at 24 months for each arm were obtained using Hamiltonian Monte Carlo. We then estimated the probability of having a higher weight loss and the probability of having greater proportion achieving 5 and 10% weight loss between groups. Additionally, a four-level hierarchical model was used to assess the partially nested intervention group effect which was not investigated in the original REPOWER analyses. RESULTS: The Bayesian analyses estimated 99.5% probability that in-clinic group visits, compared with in-clinic individual visits, resulted in a higher percent weight loss (posterior mean difference: 1.8%[95% CrI: 0.5,3.2%]), a greater probability of achieving 5% threshold (posterior mean difference: 9.2% [95% CrI: 2.4, 16.0%]) and 10% threshold (posterior mean difference: 6.6% [95% CrI: 1.7, 11.5%]). The phone-based group visits had similar result. We also concluded that including intervention group did not impact model fit significantly. CONCLUSIONS: We unified the analyses of continuous (the primary endpoint) and categorical measures (the secondary endpoints) of weight loss with one single Bayesian hierarchical model. This approach gained statistical power for the dichotomized endpoints by leveraging the information in the continuous data. Furthermore, the Bayesian analysis enabled additional insights into data interpretation and inference by providing posterior distributions for parameters of interest and posterior probabilities of different hypotheses that were not available with the frequentist approach. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT02456636 ; date of registry: May 28, 2015.