Tailored approach to participant recruitment and retention to maximize health equity in pediatric cancer research.

BACKGROUND: Lack of diversity in participants throughout the research process limits the generalizability of findings and may contribute to health disparities. There are unique challenges to recruitment of families to pediatric cancer research studies, especially for those from disadvantaged backgrounds. Thus, there is a need to evaluate the most effective recruitment and retention strategies to optimize equitable recruitment of diverse participants. METHODS: The present study adapted and implemented methods outlined previously in the literature. These previous efforts were developed to address barriers to pediatric research, behavioral health intervention research and research with Black adolescents. Recruitment and retention strategies are described across four different time points: pre-approach, initial connection, building connection and follow-up. Eligible families of children with a pediatric cancer diagnosis were approached during a routine oncology visit. Once consented, enrollment and retention rates over three timepoints of data collection were recorded and evaluated. RESULTS: Results indicated high rates of enrollment (86%) and retention (95%) for eligible participants. There were no trends in heightened attrition for any specific subgroup. CONCLUSIONS: The findings of this study are promising and suggest these recruitment and retention strategies may be useful in recruiting individuals from disadvantaged backgrounds.

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.

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.

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.

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.

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.

Weight loss in primary care: A pooled analysis of two pragmatic cluster-randomized trials.

OBJECTIVE: The aim of this study was to report the results of five weight-loss interventions in primary care settings in underserved patients and to compare the level of pragmatism across the interventions using the Pragmatic Explanatory Continuum Indicator Summary (PRECIS-2) tool. METHODS: Data from 54 primary care clinics (2,210 patients) were pooled from the Promoting Successful Weight Loss in Primary Care in Louisiana (PROPEL) and Rural Engagement in Primary Care for Optimizing Weight Reduction (REPOWER) cluster-randomized trials. Clinics were randomized to one of five comparators: PROPEL usual care, PROPEL combination of in-clinic and telephone visits, REPOWER in-clinic individual visits, REPOWER in-clinic group visits, or REPOWER telephone group visits. RESULTS: At 24 months, weight loss (kilograms) was -0.50 (95% CI: -1.77 to 0.76), -3.05 (-4.10 to -2.01), -4.30 (-5.35 to -3.26), -4.79 (-5.83 to -3.75), and -4.80 (-5.96 to -3.64) in the PROPEL usual care, REPOWER in-clinic individual visits, REPOWER telephone group visits, REPOWER in-clinic group visits, and PROPEL in-clinic and telephone visits arms, respectively. At 24 months, percentage of weight loss was -0.360 (-1.60 to 0.88), -3.00 (-4.02 to -1.98), -4.23 (-5.25 to -3.20), -4.67 (-5.69 to -3.65), and -4.69 (-5.82 to -3.56), respectively, in the five arms. The REPOWER in-clinic individual visits intervention was the most pragmatic and reflects the current Centers for Medicare and Medicaid Services funding model, although this intervention produced the least weight loss. CONCLUSIONS: Clinically significant weight loss over 6 months in primary care settings is achievable using a variety of lifestyle-based treatment approaches. Longer-term weight-loss maintenance is more difficult to achieve.

Rapid Escalation of High-Volume Exercise during Caloric Restriction; Change in Visceral Adipose Tissue and Adipocytokines in Obese Sedentary Breast Cancer Survivors.

Aerobic exercise reduces risk for breast cancer and recurrence and promotes visceral adipose tissue (VAT) loss in obesity. However, few breast cancer survivors achieve recommended levels of moderate to vigorous physical activity (MVPA) without supervision. In a two-cohort study, feasibility of 12 weeks of partially supervised exercise was started concomitantly with caloric restriction and effects on body composition and systemic risk biomarkers were explored. In total, 22 obese postmenopausal sedentary women (including 18 breast cancer survivors) with median age of 60 and BMI of 37 kg/m2 were enrolled. Using personal trainers twice weekly at area YMCAs, MVPA was escalated to ≥200 min/week over 9 weeks. For cohort 2, maintenance of effect was assessed when study provided trainer services were stopped but monitoring, group counseling sessions, and access to the exercise facility were continued. Median post-escalation MVPA was 219 min/week with median 12-week mass and VAT loss of 8 and 19%. MVPA was associated with VAT loss which was associated with improved adiponectin:leptin ratio. In total, 9/11 of cohort-2 women continued the behavioral intervention for another 12 weeks without trainers. High MVPA continued with median 24-week mass and VAT loss of 12 and 29%. This intervention should be further studied in obese sedentary women.

Change in Blood and Benign Breast Biomarkers in Women Undergoing a Weight-Loss Intervention Randomized to High-Dose ω-3 Fatty Acids versus Placebo.

The inflammation-resolving and insulin-sensitizing properties of eicosapentaenoic (EPA) and docosahexaenoic (DHA) fatty acids have potential to augment effects of weight loss on breast cancer risk. In a feasibility study, 46 peri/postmenopausal women at increased risk for breast cancer with a body mass index (BMI) of 28 kg/m2 or greater were randomized to 3.25 g/day combined EPA and DHA (ω-3-FA) or placebo concomitantly with initiation of a weight-loss intervention. Forty-five women started the intervention. Study discontinuation for women randomized to ω-3-FA and initiating the weight-loss intervention was 9% at 6 months and thus satisfied our main endpoint, which was feasibility. Between baseline and 6 months significant change (P < 0.05) was observed in 12 of 25 serum metabolic markers associated with breast cancer risk for women randomized to ω-3-FA, but only four for those randomized to placebo. Weight loss (median of 10% for trial initiators and 12% for the 42 completing 6 months) had a significant impact on biomarker modulation. Median loss was similar for placebo (-11%) and ω-3-FA (-13%). No significant change between ω-3-FA and placebo was observed for individual biomarkers, likely due to sample size and effect of weight loss. Women randomized to ω-3-FA exhibiting more than 10% weight loss at 6 months showed greatest biomarker improvement including 6- and 12-month serum adiponectin, insulin, omentin, and C-reactive protein (CRP), and 12-month tissue adiponectin. Given the importance of a favorable adipokine profile in countering the prooncogenic effects of obesity, further evaluation of high-dose ω-3-FA during a weight-loss intervention in obese high-risk women should be considered. PREVENTION RELEVANCE: This study examines biomarkers of response that may be modulated by omega-3 fatty acids when combined with a weight-loss intervention. While focused on obese, postmenopausal women at high risk for development of breast cancer, the findings are applicable to other cancers studied in clinical prevention trials.

Affective disorders, weight change, and patient engagement in a rural behavioral weight loss trial.

BACKGROUND: Adults in rural areas have a higher prevalence of obesity and some mental health conditions. The degree to which mental health influences weight loss among rural residents remains unclear. This study evaluated changes in body weight, physical activity, diet, and program engagement outcomes in a cohort of participants with vs. without an affective disorder in a behavioral weight loss trial. METHODS: A sample of 1407 adults with obesity were recruited from rural U.S. primary care practices to participate in a weight loss trial. In this secondary analysis, participants were stratified by those with vs. without an affective disorder at baseline. Mixed models were used to estimate changes in outcomes over 24 months. RESULTS: One-third of participants (n = 468) had an affective disorder. After covariate adjustment, both groups experienced significant weight loss over 24 months, but weight loss was significantly less among those with an affective disorder at all follow-up times (all p's < 0.001; 24-month weight loss -2.7 ±â€¯0.4 vs. -4.8 ±â€¯0.3 kg). Compared to those without an affective disorder, participants with an affective disorder also had significantly less improvement in physical activity and fruit/vegetable consumption, lower attendance at weight loss sessions, and less engagement in setting weight loss goals and strategies. CONCLUSION: Participants with an affective disorder lost less body weight and less improvement in lifestyle measures over 24 months. These trends paralleled reduced engagement in critical intervention activities such as weight loss session attendance. Future interventions should consider additional methods to minimize disengagement in adults with underlying affective disorders.

Chronic pain and weight regain in a lifestyle modification trial.

OBJECTIVE: Obesity and chronic pain often co-occur and exert bidirectional influences on one another. How patients with obesity and chronic pain respond to weight loss treatments, however, remains unclear. This study evaluated body weight, physical activity, and diet outcomes in participants with and without chronic pain in a 2-year behavioral weight loss trial. METHODS: An analytical cohort of 397 adults was assembled from a Midwestern healthcare system that participated in the larger trial. Participants with chronic pain 1 year prior to, or during, the trial were identified using a validated medical records algorithm. Mixed models were used to estimate changes in outcomes over 24 months. RESULTS: One-third of participants (n = 130) had chronic pain. After adjustment for age, sex, body mass index, and trial arm, weight loss was similar in both groups at 6-months (-7.0 ± 0.8 kg with chronic pain vs. -7.7 ± 0.6 kg without). Participants with chronic pain had significantly less weight loss at 24-months relative to those without (-3.6 ± 0.5 vs. -5.2 ± 0.4 kg; p = 0.007). Physical activity, screen time, dietary fat, fruit/vegetable consumption, and sugar-sweetened beverage intake improved similarly in both groups over time. CONCLUSIONS: Participants with chronic pain lost ∼33% less weight over 2 years, which was driven by greater weight regain after the first 6 months. Future research should test tailored weight loss maintenance strategies for individuals with chronic pain.

Effect of Behavioral Therapy With In-Clinic or Telephone Group Visits vs In-Clinic Individual Visits on Weight Loss Among Patients With Obesity in Rural Clinical Practice: A Randomized Clinical Trial.

Importance: Rural populations have a higher prevalence of obesity and poor access to weight loss programs. Effective models for treating obesity in rural clinical practice are needed. Objective: To compare the Medicare Intensive Behavioral Therapy for Obesity fee-for-service model with 2 alternatives: in-clinic group visits based on a patient-centered medical home model and telephone-based group visits based on a disease management model. Design, Setting, and Participants: Cluster randomized trial conducted in 36 primary care practices in the rural Midwestern US. Inclusion criteria included age 20 to 75 years and body mass index of 30 to 45. Participants were enrolled from February 2016 to October 2017. Final follow-up occurred in December 2019. Interventions: All participants received a lifestyle intervention focused on diet, physical activity, and behavior change strategies. In the fee-for-service intervention (n = 473), practice-employed clinicians provided 15-minute in-clinic individual visits at a frequency similar to that reimbursed by Medicare (weekly for 1 month, biweekly for 5 months, and monthly thereafter). In the in-clinic group intervention (n = 468), practice-employed clinicians delivered group visits that were weekly for 3 months, biweekly for 3 months, and monthly thereafter. In the telephone group intervention (n = 466), patients received the same intervention as the in-clinic group intervention, but sessions were delivered remotely via conference calls by centralized staff. Main Outcomes and Measures: The primary outcome was weight change at 24 months. A minimum clinically important difference was defined as 2.75 kg. Results: Among 1407 participants (mean age, 54.7 [SD, 11.8] years; baseline body mass index, 36.7 [SD, 4.0]; 1081 [77%] women), 1220 (87%) completed the trial. Mean weight loss at 24 months was -4.4 kg (95% CI, -5.5 to -3.4 kg) in the in-clinic group intervention, -3.9 kg (95% CI, -5.0 to -2.9 kg) in the telephone group intervention, and -2.6 kg (95% CI, -3.6 to -1.5 kg) in the in-clinic individual intervention. Compared with the in-clinic individual intervention, the mean difference in weight change was -1.9 kg (97.5% CI, -3.5 to -0.2 kg; P = .01) for the in-clinic group intervention and -1.4 kg (97.5% CI, -3.0 to 0.3 kg; P = .06) for the telephone group intervention. Conclusions and Relevance: Among patients with obesity in rural primary care clinics, in-clinic group visits but not telephone-based group visits, compared with in-clinic individual visits, resulted in statistically significantly greater weight loss at 24 months. However, the differences were small in magnitude and of uncertain clinical importance. Trial Registration: ClinicalTrials.gov Identifier: NCT02456636.

Rural breast cancer survivors are able to maintain diet quality improvements during a weight loss maintenance intervention.

PURPOSE: Obesity and poor diet quality (DQ) are associated with increased risk of morbidity/mortality among breast cancer survivors. This study explored DQ changes during a weight loss maintenance intervention in a cohort of rural female breast cancer survivors (n = 131) who lost ≥ 5% body weight in a weight loss intervention. Previous analyses demonstrated significant DQ improvements during weight loss. METHODS: DQ was calculated using the alternate Healthy Eating Index (aHEI)-2010. Differences in scores across time for the cohort and between those that maintained weight loss within 5% (low regainers) and those that regained > 5% (high regainers) were analyzed by linear mixed models. RESULTS: Significant improvements in aHEI total score were observed from baseline (M = 52.3 ± 11) to 6 months (M = 60.7 ± 8; p < 0.001); these improvements were sustained from 6 to 18 months (M = 58.4 ± 11; p = 0.16). Total aHEI-2010 score at 18 months was higher in low regainers, compared with high regainers (60.7 vs. 56.0, p = 0.03), with healthier component scores for red meat (p = 0.01) and fruit (p = 0.04), and a trend for a healthier score for sugar-sweetened beverages (p = 0.08). CONCLUSIONS: Overall DQ improvements made during a weight loss intervention for rural breast cancer survivors were sustained during a weight loss maintenance intervention; this intervention was effective in helping low regainers maintain healthier scores in fruit, red meat, and sugar-sweetened beverage components. IMPLICATIONS FOR CANCER SURVIVORS: Maintaining higher DQ may help breast cancer survivors maintain weight loss, thereby reducing risk of breast cancer recurrence and premature death from comorbidities.