Privacy Concerns in Group Format Lifestyle Interventions for Obesity.

BACKGROUND: Group format weight loss interventions have benefits over individual format, but privacy concerns may limit their uptake. METHOD: In this study, adults with obesity and interest in losing weight were recruited nationally online and randomly assigned to view one of eight videos describing a hypothetical, group behavioral weight loss intervention. Based on three fully crossed factors, the videos varied on privacy features of intervention (present or not); matching participants to group based on weight loss barriers (matched or not); and intervention format (online or in-person). Participants rated their willingness to join, privacy concerns, and perceived effectiveness of these interventions. They further reported preference for individual or group format interventions and reason for preferences. RESULTS: Description of privacy features, matching of participants, and format did not affect willingness to join, privacy concerns, or perceived effectiveness of the intervention. Privacy concerns were associated with lower willingness to join and lower perceived intervention effectiveness, and greater social anxiety and weight stigma. More participants preferred individual over group format (40.1% vs 33.9%; 26% selected neither) and preference for individual format was associated with greater privacy concerns. CONCLUSION: Strategies to address privacy concerns in group-based interventions warrant further attention.

Provider Counseling and Weight Loss Outcomes in a Primary Care-Based Digital Obesity Treatment.

BACKGROUND: Primary care-based digital health weight loss interventions offer promise for addressing obesity in underserved populations. OBJECTIVES: To determine if primary care providers' weight counseling is associated with weight change during a weight loss intervention. DESIGN: This is a secondary analysis of a randomized clinical trial testing a 12-month primary care-based digital health weight loss intervention. PARTICIPANTS: Participants were community health center patients with body mass indexes of 30-44.9 kg/m2. INTERVENTIONS: The weight loss intervention included tailored behavioral goal setting; weekly goal monitoring via text messaging or interactive voice response calls; counseling calls; skills training material; and participant-tailored recommendations for provider counseling. MAIN MEASURES: At 6 and 12 months, participants' weight was measured and they reported if their provider delivered weight counseling (general or intervention-specific) at their most recent visit and their perception of providers' empathy. Providers' documentation of weight counseling was extracted from health records. KEY RESULTS: Participants (n = 134-141) were predominantly female (70%) and African American (55%) with a mean age of 51 years and BMI of 36 kg/m2. Participant-reported provider weight counseling was not associated with weight change. However, participants whose providers documented intervention-specific counseling at any point during the intervention (n = 35) lost 3.1 kg (95% CI 0.4 to 5.7 kg) more than those whose providers documented only general weight counseling (n = 82) and 4.0 kg (95% CI 0.1 to 7.9 kg) more than those whose providers did not document weight counseling (n = 17). Perceptions of provider empathy were associated with greater weight loss from 6 to 12 months (0.8 kg per measure unit, 95% CI 0.07 to 1.5 kg, p = .03). CONCLUSIONS: Provider counseling that focuses specifically on engagement in a weight loss intervention may enhance weight loss outcomes relative to more general weight loss advice. Counseling that enhances patients' perceptions of empathy may be most beneficial for patients' weight loss. TRIAL REGISTRATION: NCT01827800.

The role of group cohesion in a group-based behavioral weight loss intervention.

Behavioral weight loss interventions are often delivered in groups. Group cohesion may enhance program attendance and, thereby, weight loss. In this secondary analysis, our goals were to: (1a) assess whether group cohesion measured early in a behavioral weight loss intervention predicts program attendance and weight loss outcomes and, if so, (1b) explore whether attendance mediates the link between group cohesion and weight loss; (2) characterize the association between change in group cohesion and weight loss throughout the intervention. Veterans (n = 324) initiated a 16-week, group-based behavioral weight loss program involving biweekly in-person group visits. In linear regression models, early group cohesion was unrelated to group attendance or weight loss. Although group cohesion significantly increased during the intervention, this change was not associated with weight loss. These findings are consistent with the limited literature; however, they are inconsistent with theoretical assertions and clinical observations of the influence of group factors on outcomes.

Perceived barriers and facilitators of initiation of behavioral weight loss interventions among adults with obesity: a qualitative study.

BACKGROUND: Evidence-based behavioral weight loss interventions are under-utilized. To inform efforts to increase uptake of these interventions, it is important to understand the perspectives of adults with obesity regarding barriers and facilitators of weight loss intervention initiation. METHODS: We conducted a qualitative study in adults with obesity who had recently attempted weight loss either with assistance from an evidence-based behavioral intervention (intervention initiators) or without use of a formal intervention (intervention non-initiators). We recruited primary care patients, members of a commercial weight loss program, and members of a Veterans Affairs weight loss program. Intervention initiators and non-initiators were interviewed separately using a semi-structured interview guide that asked participants about barriers and facilitators of weight loss intervention initiation. Conversations were audio-recorded and transcribed. Data were analyzed with qualitative content analysis. Two researchers used open coding to generate the code book on a subset of transcripts and a single researcher coded remaining transcripts. Codes were combined into subthemes, which were combined in to higher order themes. Intervention initiators and non-initiators were compared. RESULTS: We conducted three focus groups with participants who had initiated interventions (n = 26) and three focus groups (n = 24) and 8 individual interviews with participants who had not initiated interventions. Intervention initiators and non-initiators were, respectively, 65% and 37.5% white, 62% and 63% female, mean age of 55 and 54 years old, and mean BMI of 34 kg/m2. Three themes were identified. One theme was practical factors, with subthemes of reasonable cost and scheduling compatibility. A second theme was anticipated effectiveness of intervention, with subthemes of intervention content addressing individual needs; social aspects influencing effectiveness; and evaluating evidence of effectiveness. A third theme was anticipated pleasantness of intervention, with subthemes of social aspects influencing enjoyment; anticipated dietary and tracking prescriptions; and identity and self-reliance factors. Different perspectives were identified from intervention initiators and non-initiators. CONCLUSIONS: Strategies to engage individuals in evidence-based weight loss interventions can be developed using these results. Strategies could target individuals' perceived barriers and benefits to initiating interventions, or could focus on refining interventions to appeal to more individuals.

Maintenance of Weight Loss After Initiation of Nutrition Training: A Randomized Trial.

BACKGROUND: Weight regain after successful weight loss interventions is common. OBJECTIVE: To establish the efficacy of a weight loss maintenance program compared with usual care in obese adults. DESIGN: 2-group, parallel, randomized trial stratified by initial weight loss (<10 kg vs. ≥10 kg), conducted from 20 August 2012 to 18 December 2015. Outcome assessors were blinded to treatment assignment. (ClinicalTrials.gov: NCT01357551). SETTING: 3 primary care clinics at the Veterans Affairs Medical Center in Durham and Raleigh, North Carolina. PATIENTS: Obese outpatients (body mass index ≥30 kg/m2) who lost 4 kg or more of body weight during a 16-week, group-based weight loss program. INTERVENTION: The maintenance intervention, delivered primarily by telephone, addressed satisfaction with outcomes, relapse-prevention planning, self-monitoring, and social support. Usual care involved no contact except for study measurements. MEASUREMENTS: Primary outcome was mean weight regain at week 56. Secondary outcomes included self-reported caloric intake, walking, and moderate physical activity. RESULTS: Of 504 patients in the initial program, 222 lost at least 4 kg of body weight and were randomly assigned to maintenance (n = 110) or usual care (n = 112). Retention was 85%. Most patients were middle-aged white men. Mean weight loss during initiation was 7.2 kg (SD, 3.1); mean weight at randomization was 103.6 kg (SD, 20.4). Estimated mean weight regain was statistically significantly lower in the intervention (0.75 kg) than the usual care (2.36 kg) group (estimated mean difference, 1.60 kg [95% CI, 0.07 to 3.13 kg]; P = 0.040). No statistically significant differences in secondary outcomes were seen at 56 weeks. No adverse events directly attributable to the intervention were observed. LIMITATIONS: Results may not generalize to other settings or populations. Dietary intake and physical activity were self-reported. Duration was limited to 56 weeks. CONCLUSION: An intervention focused on maintenance-specific strategies and delivered in a resource-conserving way modestly slowed the rate of weight regain in obese adults. PRIMARY FUNDING SOURCE: Veterans Affairs Health Services Research and Development Service.

Patient predictors of weight loss following a behavioral weight management intervention among US Veterans with severe obesity.

PURPOSE: Identification of patient characteristics that are associated with behavioral weight loss success among bariatric surgery candidates could inform selection of optimal bariatric surgery candidates. We examined the associations between psychosocial characteristics and weight loss in a group of Veterans with severe obesity who participated in a behavioral weight loss intervention. METHODS: The MAINTAIN trial involved a 16-week weight loss program followed by randomization among participants losing at least 4 kg to a maintenance intervention or usual care. This secondary analysis was performed on Veterans who participated in the 16-week weight loss program and met NIH criteria for bariatric surgery (body mass index [BMI] 35.0-39.9 with at least 1 obesity-related comorbidity or BMI ≥ 40). Unadjusted and adjusted associations between baseline patient characteristics and weight loss during the 16-week induction phase were evaluated with linear regression. Missing weight measurements were multiply imputed, and results combined across ten imputations. RESULTS: Among the 206 patients who met inclusion criteria, mean initial BMI was 40.8 kg/m2 (SD 6.0), and mean age was 59.2 years (SD 9.4). Approximately 20% of participants were female, 51.5% were Black, and 44.7% were White. Estimated mean 16-week weight loss was 5.16 kg (SD 4.31). In adjusted analyses, greater social support and older age were associated with greater weight loss (p < 0.05). None of the nine psychosocial characteristics we examined were associated with greater weight loss. CONCLUSIONS: Understanding and strengthening the level of social support for bariatric surgery candidates may be important given that it appears to be strongly correlated with behavioral weight loss success. LEVEL OF EVIDENCE: Level II, Evidence obtained from well-designed controlled trials without randomization. TRIAL REGISTRATION: ClinicalTrials.gov NCT01357551 http://clinicaltrials.gov/show/NCT01357551 .

Genetic causal attributions for weight status and weight loss during a behavioral weight gain prevention intervention.

PURPOSE: Emerging evidence suggests that attributing one's weight to genetics may contribute to the adoption of obesogenic behaviors. We investigated whether weight-related genetic attributions were associated with weight change during a weight gain prevention intervention. METHODS: Participants (n = 185) were from a randomized clinical trial of a digital health weight gain prevention intervention for black women ages 25-44 years with body mass index 25.0-34.9 kg/m(2). Weight-related genetic attributions (weight status attribution and weight loss attributions) were measured at baseline and 12 months. RESULTS: Among intervention participants, high genetic attribution for weight loss was associated with greater weight loss at 12 months (-2.7 vs. 0.5 kg) and 18 months (-3.0 vs. 0.9 kg). Among usual-care participants, high genetic attribution for weight status was associated with greater 18-month weight gain (2.9 vs. 0.3 kg). The intervention reduced the likelihood of high genetic attribution for weight loss at 12 months (P = 0.05). Change in the likelihood of genetic attribution was not associated with weight change over 12 months. CONCLUSION: Impact of genetic attributions on weight differs for those enrolled and not enrolled in an intervention. However, weight gain prevention intervention may reduce genetic attribution for weight loss.Genet Med 18 5, 476-482.

Food preferences and weight change during low-fat and low-carbohydrate diets.

UNLABELLED: Understanding associations between food preferences and weight loss during various effective diets could inform efforts to personalize dietary recommendations and provide insight into weight loss mechanisms. We conducted a secondary analysis of data from a clinical trial in which participants were randomized to either a 'choice' arm, in which they were allowed to select between a low-fat diet (n = 44) or low-carbohydrate diet (n = 61), or to a 'no choice' arm, in which they were randomly assigned to a low-fat diet (n = 49) or low-carbohydrate diet (n = 53). All participants were provided 48 weeks of lifestyle counseling. Food preferences were measured at baseline and every 12 weeks thereafter with the Geiselman Food Preference Questionnaire. Participants were 73% male and 51% African American, with a mean age of 55. Baseline food preferences, including congruency of food preferences with diet, were not associated with weight outcomes. In the low-fat diet group, no associations were found between changes in food preferences and weight over time. In the low-carbohydrate diet group, increased preference for low-carbohydrate diet congruent foods from baseline to 12 weeks was associated with weight loss from 12 to 24 weeks. Additionally, weight loss from baseline to 12 weeks was associated with increased preference for low-carbohydrate diet congruent foods from 12 to 24 weeks. Results suggest that basing selection of low-carbohydrate diet or low-fat diet on food preferences is unlikely to influence weight loss. Congruency of food preferences and weight loss may influence each other early during a low-carbohydrate diet but not low-fat diet, possibly due to different features of these diets. CLINICAL TRIAL REGISTRY: NCT01152359.

Effect of Allowing Choice of Diet on Weight Loss: A Randomized Trial.

BACKGROUND: Choosing a diet rather than being prescribed one could improve weight loss. OBJECTIVE: To examine whether offering choice of diet improves weight loss. DESIGN: Double-randomized preference trial of choice between 2 diets (choice) versus random assignment to a diet (comparator) over 48 weeks. (ClinicalTrials.gov: NCT01152359). SETTING: Outpatient clinic at a Veterans Affairs medical center. PATIENTS: Outpatients with a body mass index of at least 30 kg/m2. INTERVENTION: Choice participants received information about their food preferences and 2 diet options (low-carbohydrate diet [LCD] or low-fat diet [LFD]) before choosing and were allowed to switch diets at 12 weeks. Comparator participants were randomly assigned to 1 diet for 48 weeks. Both groups received group and telephone counseling for 48 weeks. MEASUREMENTS: The primary outcome was weight at 48 weeks. RESULTS: Of 105 choice participants, 61 (58%) chose the LCD and 44 (42%) chose the LFD; 5 (3 on the LCD and 2 on the LFD) switched diets at 12 weeks, and 87 (83%) completed measurements at 48 weeks. Of 102 comparator participants, 53 (52%) were randomly assigned to the LCD and 49 (48%) were assigned to the LFD; 88 (86%) completed measurements. At 48 weeks, estimated mean weight loss was 5.7 kg (95% CI, 4.3 to 7.0 kg) in the choice group and 6.7 kg (CI, 5.4 to 8.0 kg) in the comparator group (mean difference, -1.1 kg [CI, -2.9 to 0.8 kg]; P = 0.26). Secondary outcomes of dietary adherence, physical activity, and weight-related quality of life were similar between groups at 48 weeks. LIMITATIONS: Only 2 diet options were provided. Results from this sample of older veterans might not be generalizable to other populations. CONCLUSION: Contrary to expectations, the opportunity to choose a diet did not improve weight loss.

Mechanisms of patient health behavior change in a randomized controlled trial of a spouse-assisted intervention.

Spouse-assisted interventions can improve health behaviors, but mechanisms of action are unknown. This study evaluated mediators of dietary and physical activity outcomes during a spouse-assisted intervention to improve low-density lipoprotein cholesterol. This is a secondary analysis of data from a randomized controlled trial comparing usual care (n = 128) to a spouse-assisted lifestyle change intervention (n = 127) comprising nine monthly goal setting telephone calls to participants and support planning calls to spouses over 11 months. Structural equation modeling was used to examine if the intervention influenced the putative mediators of participant self-efficacy and perceived spousal support at 6 months (i.e. action test); if changes in putative mediators at 6 months were associated with changes in diet and physical activity outcomes at 11 months (i.e. conceptual test); and if treatment condition effects on outcomes at 11 months were mediated by its effects on the 6-month putative mediators (i.e. indirect effects test). Participants were 94.9% male, 64.9% white and were 61.3 years old on average. The action test showed that the intervention increased dietary self-efficacy (p < .001) and perceived spousal support for diet (p < .001) and physical activity (p < .01) at 6 months. The conceptual test showed that increases in participant physical activity self-efficacy at 6 months were associated with increases in physical activity frequency (p = .01) and duration (p = .04) at 11 months; other putative mediators were not associated with changes in outcomes at 11 months. The indirect effects tests did not support a mediating role for self-efficacy or perceived spousal support. Intervention-induced changes in spousal support and dietary self-efficacy did not translate into behavior change. Other mechanisms may be driving behavior change.

Spouse health behavior outcomes from a randomized controlled trial of a spouse-assisted lifestyle change intervention to improve patient low-density lipoprotein cholesterol.

This study evaluated spouse health behavior outcomes from a randomized controlled trial of a spouse-assisted lifestyle intervention to reduce patient low-density lipoprotein cholesterol and improve patient health behaviors. Participants were 251 spouses of patients from the Durham Veterans Affairs Medical Center randomized to intervention or usual care. The intervention comprised 9 monthly telephone calls to patients and spouses. Outcomes were assessed at baseline, 6 and 11 months. At 11 months, there were no differences in spouse outcomes between intervention and usual care groups for moderate intensity physical activity (i.e., frequency, duration) or dietary intake (i.e., total calories, total fat, percentage of calories from total fat, saturated fat, percentage of calories from saturated fat, cholesterol, fiber). To improve spouse outcomes, couple interventions may need to include spouse behavior change goals and reciprocal support between patients and spouses and consider the need for improvement in spouse outcomes.

Factors associated with choice of a low-fat or low-carbohydrate diet during a behavioral weight loss intervention.

Individuals undertaking a weight loss effort have a choice among proven dietary approaches. Factors contributing to choice of either a low-fat/low-calorie diet or a low-carbohydrate diet, two of the most studied and popular dietary approaches, are unknown. The current study used data from participants randomized to the 'choice' arm of a trial examining whether being able to choose a diet regimen yields higher weight loss than being randomly assigned to a diet. At study entry, participants attended a group session during which they were provided tailored feedback indicating which diet was most consistent with their food preferences using the Geiselman Food Preference Questionnaire (FPQ), information about both diets, and example meals for each diet. One week later, they indicated which diet they chose to follow during the 48-week study, with the option of switching diets after 12 weeks. Of 105 choice arm participants, 44 (42%) chose the low-fat/low-calorie diet and 61 (58%) chose the low-carbohydrate diet. In bivariate analyses, diet choice was not associated with age, race, sex, education, BMI, or diabetes (all p > 0.05). Low-carbohydrate diet choice was associated with baseline higher percent fat intake (p = 0.007), lower percent carbohydrate intake (p = 0.02), and food preferences consistent with a low-carbohydrate diet according to FPQ (p < 0.0001). In a multivariable logistic regression model, only FPQ diet preference was associated with diet choice (p = 0.001). Reported reasons for diet choice were generally similar for those choosing either diet; however, concerns about negative health effects of the unselected diet was rated as more influential among participants selecting the low-fat diet. Only three low-carbohydrate and two low-fat diet participants switched diets at 12 weeks. Results suggest that when provided a choice between two popular weight loss dietary approaches, an individual's selection is likely influenced by baseline dietary intake pattern, and especially by his or her dietary preferences. Research is needed to determine if congruency between food preferences and dietary approach is associated with weight loss.

Exploring potential reach and representativeness of a self-weighing weight gain prevention intervention in adults with overweight and obesity.

Most adults with obesity do not enrol in comprehensive weight loss interventions when offered. For these individuals, lower burden self-weighing interventions may offer an acceptable alternative, though data is lacking on the potential for reach and representativeness of such interventions. Health system patients with BMI ≥30 kg/m2 (or 25-30 kg/m2 with an obesity comorbidity) completed a general health survey. During the survey, patients were given information about comprehensive weight loss interventions. If they denied interest or did not enrol in a comprehensive intervention, they were offered enrolment in a low-burden weight gain prevention intervention focused on daily self-weighing using a cellular network-connected in-home scale without any dietary or physical activity prescriptions. Enrolment in this program was documented. Among patients offered the self-weighing intervention (n = 85; 55.3% men; 58.8% White; BMI = 34.2 kg/m2), 44.2% enrolled. Compared to those who did not enrol, enrollers had higher educational attainment (57.1% vs. 42.9% with bachelor's degree p = .02), social anxiety (5.8 vs. 2.8, p < .001), and perceptions of the effectiveness of the self-weighing intervention (25.8 vs. 20.9 on 35, p = .007). The most highly endorsed reason for not enrolling in the self-weighing intervention was that it would make individuals overly focused on weight. A low-intensity weight gain prevention intervention may serve as a viable alternative to comprehensive weight loss interventions for the substantial portion of patients who are at risk for continued weight gain but would otherwise not enrol in a comprehensive intervention. Differential enrolment by education, however, suggests potential for inequitable uptake.

A low-burden, self-weighing intervention to prevent weight gain in adults with obesity who do not enroll in comprehensive treatment.

Background: For individuals who are eligible but unlikely to join comprehensive weight loss programs, a low burden self-weighing intervention may be a more acceptable approach to weight management. Methods: This was a single-arm feasibility trial of a 12-month self-weighing intervention. Participants were healthcare patients with a BMI ≥25 kg/m2 with a weight-related comorbidity or a BMI >30 kg/m2 who reported lack of interest in joining a comprehensive weight loss program, or did not enroll in a comprehensive program after being provided program information. In the self-weighing intervention, participants were asked to weigh themselves daily on a cellular connected scale and were sent text messages every other week with tailored weight change feedback, including messages encouraging use of comprehensive programs if weight gain occurred. Results: Of 86 eligible patients, 39 enrolled (45.3%) in the self-weighing intervention. Self-weighing occurred on average 4.6 days/week (SD = 1.4). At 12 months, 12 participants (30.8%) lost ≥3% baseline weight, 11 (28.2%) experienced weight stability (±3% baseline), 6 (15.4%) gained ≥3% of baseline weight, and 10 (25.6%) did not have available weight data to evaluate. Three participants reported joining a weight loss program during the intervention (7.7%). Participants reported high intervention satisfaction in quantitative ratings (4.1 of 5), and qualitative interviews identified areas of satisfaction (e.g., timing and content of text messages) and areas for improvement (e.g., increasing personalization of text messages). Conclusion: A low-burden self-weighing intervention can reach adults with overweight/obesity who would be unlikely to engage in comprehensive weight loss programs; the efficacy of this intervention for preventing weight gain should be further evaluated in a randomized trial.

Effects of brief mindfulness instructions on reactions to body image stimuli among female smokers: an experimental study.

INTRODUCTION: Recent research has shown that body image stimuli increase negative affect and smoking urges among female smokers. Mindfulness (paying attention to present-moment experience with an attitude of nonjudgmental acceptance) may be a useful technique to minimize the influence of body dissatisfaction on negative affect, smoking urges, and smoking behavior. METHODS: This study investigated whether mindfulness influences how female college smokers respond to a body image challenge. The study used a 2 × 2 factorial design with body image challenge (trying on a bathing suit vs. looking at a purse) crossed with instructions (mindfulness vs. silence). Female smokers (n = 64; M (age) = 20.03 [± 1.77], 87.5% Caucasian) were randomly assigned to one of four conditions: Purse + Silence (n = 16), Body Image + Silence (n = 15), Purse + Mindfulness (n = 15), and Body Image + Mindfulness (n = 18).

Weight loss history as a predictor of weight loss: results from Phase I of the weight loss maintenance trial.

Past studies have suggested that weight loss history is associated with subsequent weight loss. However, questions remain whether method and amount of weight lost in previous attempts impacts current weight loss efforts. This study utilized data from the Weight Loss Maintenance Trial to examine the association between weight loss history and weight loss outcomes in a diverse sample of high-risk individuals. Multivariate regression analysis was conducted to determine which specific aspects of weight loss history predict change in weight during a 6-month weight loss intervention. Greater weight loss was predicted by fewer previous weight loss attempts with assistance (p = 0.03), absence of previous dietary/herbal weight loss supplement use (p = 0.01), and greater maximum weight loss in previous attempts (p < 0.001). Future interventions may benefit from assessment of weight loss history and tailoring of interventions based on past weight loss behaviors and outcomes.

Nudges and choice architecture to promote healthy food purchases in adults: A systematized review.

OBJECTIVE: Consistent with behavioral economic models that emphasize the context-dependance of behavioral choice, choice architecture strategies change the environmental context to promote or nudge healthier choices including the healthfulness of food purchases that may help reduce disease and premature death. This review summarizes research that investigated nudging interventions to promote healthful food purchase choices among adults. METHOD: A comprehensive systematized search strategy identified research published since 2009 that investigated the role of nudges and choice architecture interventions on adult food purchasing decisions with behavioral outcomes. Study data were extracted and summarized regarding nudge characteristics, design features, study quality, and food purchasing outcomes. RESULTS: The search identified 1,129 articles, 33 of which met inclusion criteria. Twelve studies were rated as high quality, 21 as neutral, and none as low quality. Some evidence of effectiveness was found for priming nudges that manipulated physical, verbal, or sensational cues to promote healthy choices (8 of 11 studies); salience and affect nudges that used novel or personally relevant cues to direct attention to healthy choices (3/3); messenger nudges that presented information on socially normative food choices (2/2), and default nudges that made healthy options the preset choice (1/2). In studies that combined nudge types, combining priming and salience and affect nudges was at least partially effective in 5 of 5 studies. CONCLUSIONS: Nudge applications in food purchasing settings, particularly priming, offers a promising public health strategy to encourage healthier food choices among adults. More research is needed to determine optimal nudge combinations and contexts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Determinants of Food Insecurity Among Hispanic/Latinx Households With Young Children: A Narrative Review.

Food insecurity has disproportionately impacted Hispanic/Latinx households in the United States, specifically those with young children. Although the literature provides evidence of an association between food insecurity and adverse health outcomes in young children, minimal research has addressed the social determinants and related risk factors associated with food insecurity among Hispanic/Latinx households with children under three, a highly vulnerable population. Using the Socio-Ecological Model (SEM) as a framework, this narrative review identified factors associated with food insecurity among Hispanic/Latinx households with children under three. A literature search was conducted using PubMed and four additional search engines. Inclusion criteria consisted of articles published in English from November 1996 to May 2022 that examined food insecurity among Hispanic/Latinx households with children under three. Articles were excluded if conducted in settings other than the US and/or focused on refugees and temporary migrant workers. Data were extracted (i.e., objective, setting, population, study design, measures of food insecurity, results) from the final articles (n = 27). The strength of each article's evidence was also evaluated. Results identified individual factors (i.e., intergenerational poverty, education, acculturation, language, etc.), interpersonal factors (i.e., household composition, social support, cultural customs), organizational factors (i.e., interagency collaboration, organizational rules), community factors (i.e., food environment, stigma, etc.), and public policy/societal factors (i.e., nutrition assistance programs, benefit cliffs, etc.) associated with a food security status of this population. Overall, most articles were classified as "medium" or higher quality for the strength of evidence, and more frequently focused on individual or policy factors. Findings indicate the need for more research to include a focus on public policy/society factors, as well as on multiple levels of the SEM with considerations of how individual and policy levels intersect and to create or adapt nutrition-related and culturally appropriate interventions to improve food security of Hispanic/Latinx households with young children.

Parental Factors Associated With Intentions to Initiate a Family-Based Pediatric Weight Management Program.

Background: Childhood obesity can be addressed through family-based pediatric weight management; however, treatment enrollment in the United States is low. This study aimed to identify parental factors associated with intentions to initiate a family-based pediatric weight management program. Methods: Cross-sectional survey data were collected from an online panel of US parents with at least one 5- to 11-year-old child identified as likely to have overweight or obesity. Participants viewed a video about a hypothetical family-based pediatric weight management program, rated their 30-day initiation intentions for that program, and answered additional related questionnaires. Results: Participants (n = 158) identified as White/Caucasian (53%) or Black/African American (47%), were primarily female (61.4%) and married/cohabitating (81.6%) with children who were predominantly girls (53.2%) and, on average, 9-year-olds. Higher parents' perception of program effectiveness predicted initiation intentions (p < 0.001), while concern for their child's weight and parent depression and anxiety levels did not. Higher initiation intentions and perceived program effectiveness were reported by Black/African American participants (p < 0.01) and those with at least a bachelor's degree (p < 0.01) compared to White/Caucasian participants and those without a bachelor's degree, respectively. Initiation intentions were higher for those with greater financial security (p = 0.020) and fewer than three children in the home (p = 0.026). Participants endorsed initiation barriers of time constraints (25%), possible lack of enjoyment for the child (16.9%), and lack of family support (15%). Conclusions: Future program enrollment efforts may need to focus on strategies to increase perceived program effectiveness, although further research is needed that measures actual enrollment in real-world contexts.

Behavior change techniques in digital physical activity interventions for breast cancer survivors: a systematic review.

Given the broad benefits of physical activity (PA) but low PA levels among breast cancer survivors (i.e., women who have received a breast cancer diagnosis), innovative and evidence-based techniques are needed to motivate and support exercise. This study systematically reviews the use of behavior change techniques (BCTs) in digital PA interventions for breast cancer survivors. Studies were retrieved from five electronic databases and were included if they (i) sampled exclusively female breast cancer survivors aged >18 years, (ii) involved a digital intervention with the primary purpose of increasing PA, (iii) included a BCT component, (iv) used a randomized or quasi-randomized design, and (v) were published from January 2000 to May 2022. Two coders independently extracted data. Twenty primary studies met the inclusion criteria and were included in this review. All interventions used at least one BCT (mean 4 ± 1, range 2-13); self-monitoring (85%) and goal setting (79%) were the most common BCTs. Twelve of 20 (60%) studies reported improvements in PA behavior in the intervention vs. control group, and self-monitoring and goal setting were the most commonly used BCTs in these studies. Of the 93 total BCTs, 66 were not used in any interventions in the review, including critical constructs for PA behavior change (e.g., biofeedback). BCTs, important facilitators of PA behavior change, are being underutilized in digital PA interventions for breast cancer survivors. Future research should incorporate more diverse BCTs to explore if they can add to the effectiveness of digital interventions for this population.

Physical activity (PA) has many benefits, yet PA levels are low among breast cancer survivors (i.e., women who have received a breast cancer diagnosis). This study reviews the use of behavior change techniques (BCTs) in digital PA interventions for breast cancer survivors. BCTs are evidence-based and are important for encouraging changes in health behaviors, such as PA. Twenty studies were included in this review. All interventions used at least one BCT (mean 4 ± 1, range 2­13); self-monitoring (85%) and goal setting (79%) were the most common BCTs. Twelve of 20 (60%) studies reported improvements in PA, and self-monitoring and goal setting were the most commonly used BCTs in these studies. Of the 93 total BCTs, 66 were not used in any interventions in the review. This finding reveals that many BCTs, which are important influencers of behavior change, are often not being used in digital PA interventions for breast cancer survivors. BCTs such as biofeedback (e.g., providing information on heart rate during exercise) and practical social support (e.g., virtual exercise coaching), could be helpful. Future research should include more diverse BCTs to explore if they can add to the usefulness of digital interventions for this population.