Examining sociodemographic and health-related characteristics as moderators of an mHealth intervention on physical activity outcomes in young adult cancer survivors.

PURPOSE: This study explored whether sociodemographic and health-related characteristics moderated mHealth PA intervention effects on total and moderate-to-vigorous physical activity (MVPA) at 6 months, relative to a self-help condition among young adult cancer survivors (YACS). METHODS: We conducted exploratory secondary analyses of data from a randomized controlled trial among 280 YACS. All participants received digital tools; intervention participants also received lessons, adaptive goals, tailored feedback, text messages, and Facebook prompts. Potential moderators were assessed in baseline questionnaires. PA was measured at baseline and 6 months with accelerometers. Linear model repeated measures analyses examined within- and between-group PA changes stratified by levels of potential moderator variables. RESULTS: Over 6 months, the intervention produced MVPA increases that were ≥ 30 min/week compared with the self-help among participants who were males (28.1 vs. -7.7, p = .0243), identified with racial/ethnic minority groups (35.2 vs. -8.0, p = .0006), had baseline BMI of 25-30 (25.4 vs. -7.2, p = .0034), or stage III/IV cancer diagnosis (26.0 vs. -6.8, p = .0041). Intervention participants who were ages 26-35, college graduates, married/living with a partner, had a solid tumor, or no baseline comorbidities had modest MVPA increases over 6 months compared to the self-help (ps = .0163-.0492). Baseline characteristics did not moderate intervention effects on total PA. CONCLUSIONS: The mHealth intervention was more effective than a self-help group at improving MVPA among subgroups of YACS defined by characteristics (sex, race, BMI, cancer stage) that may be useful for tailoring PA interventions. IMPLICATIONS FOR CANCER SURVIVORS: These potential moderators can guide future optimization of PA interventions for YACS. GOV IDENTIFIER: NCT03569605.

Higher diet quality relates to better cardiac function in cancer survivors: The multi-ethnic study of atherosclerosis.

BACKGROUND: Cancer therapies induce cardiac injury and increase cardiovascular disease (CVD) risk. In non-cancer populations, higher diet quality is associated with protection against CVD, but the relationship between diet and cardiac function in cancer survivors is unknown. METHODS: This cross-sectional analysis from the Multi-Ethnic Study of Atherosclerosis (MESA) cohort included 113 cancer survivors (55 breast, 53 prostate, three lung, and three blood) and 4233 non-cancer controls. Dietary intake was reported via validated food frequency questionnaire. Alternate healthy eating index (AHEI) was calculated as a measure of quality. Cardiac function, determined as left ventricular ejection fraction (LVEF), was assessed by cardiac magnetic resonance. RESULTS: Cancer survivors had a lower LVEF compared to controls (61.3 ± 6.5% v 62.4 ± 6.1%, p = 0.04). In all participants, total fat (ß ± SE: -0.04 ± 0.01, p = 0.004), saturated fat (-0.11 ± 0.03, p < 0.001), and trans-fat (-0.36 ± 0.12, p = 0.002) intake were inversely associated with LVEF while AHEI (0.03 ± 0.01, p < 0.001) was positively associated with LVEF. Among cancer survivors only, sucrose intake was negatively related to LVEF (-0.15 ± 0.06, p = 0.02), and the ratio of unsaturated fat to saturated fat (2.7 ± 1.1, p = 0.01) and fiber intake (0.42 ± 0.14, p = 0.003) were positively related to LVEF. DISCUSSION: In cancer survivors, improved dietary fat and carbohydrate quality (i.e., greater consumption of unsaturated fatty acids and fiber) was associated with favorable cardiac function, while higher sucrose was associated with worse cardiac function. Further research is needed to confirm these findings and test whether changes in the identified dietary factors will modulate cardiac function in cancer survivors.

Physical activity maintenance among young adult cancer survivors in an mHealth intervention: Twelve-month outcomes from the IMPACT randomized controlled trial.

BACKGROUND: Most physical activity (PA) interventions in young adult cancer survivors (YACS) have focused on short-term outcomes without evaluating longer-term outcomes and PA maintenance. This study examined the effects of an mHealth PA intervention at 12 months, after 6 months of tapered contacts, relative to a self-help group among 280 YACS. METHODS: YACS participated in a 12-month randomized trial that compared self-help and intervention groups. All participants received an activity tracker, smart scale, individual videochat session, and access to a condition-specific Facebook group. Intervention participants also received lessons, tailored feedback, adaptive goal setting, text messages, and Facebook prompts for 6 months, followed by tapered contacts. Accelerometer-measured and self-reported PA (total [primary outcome], moderate-to-vigorous [MVPA], light, steps, sedentary behaviors) were collected at baseline, 6, and 12 months. Generalized estimating equation analyses evaluated group effects on outcomes from baseline to 12 months. RESULTS: From baseline to 12 months, there were no between- or within-group differences in accelerometer-measured total PA min/week, while increases in self-reported total PA were greater in the intervention versus self-help group (mean difference = +55.8 min/week [95% CI, 6.0-105.6], p = 0.028). Over 12 months, both groups increased accelerometer-measured MVPA (intervention: +22.5 min/week [95% CI, 8.8-36.2] vs. self-help: +13.9 min/week [95% CI, 3.0-24.9]; p = 0.34), with no between-group differences. Both groups maintained accelerometer-measured and self-reported PA (total, MVPA) from 6 to 12 months. At 12 months, more intervention participants reported meeting national PA guidelines than self-help participants (47.9% vs. 33.1%, RR = 1.45, p = 0.02). CONCLUSION: The intervention was not more effective than the self-help group at increasing accelerometer-measured total PA over 12 months. Both groups maintained PA from 6 to 12 months. Digital approaches have potential for promoting sustained PA participation in YACS, but additional research is needed to identify what strategies work for whom, and under what conditions.

Effect of an mHealth intervention on physical activity outcomes among young adult cancer survivors: The IMPACT randomized controlled trial.

BACKGROUND: Physical inactivity is common in young adult cancer survivors (YACS), but evidence regarding effects of physical activity (PA) interventions among YACS is limited. The IMproving Physical Activity after Cancer Treatment (IMPACT) trial evaluated a theory-based mobile PA intervention on total PA minutes/week (primary) and secondary outcomes (moderate-to-vigorous PA [MVPA], light PA, steps, sedentary behaviors) at 6 months in YACS. METHODS: YACS (N = 280) were randomized to an intervention group or self-help group. All participants received digital tools (activity tracker, smart scale, access to arm-specific Facebook group) and an individual video chat session. Intervention participants also received a 6-month program with behavioral lessons, adaptive goal-setting, tailored feedback, tailored text messages, and Facebook prompts. PA was assessed via accelerometry and questionnaires at baseline and 6 months. Generalized estimating equation analyses tested between-group differences in changes over time. RESULTS: Of 280 YACS, 251 (90%) completed the 6-month accelerometry measures. Accelerometer-measured total PA minutes/week changed from 1974.26 at baseline to 2024.34 at 6 months in the intervention (mean change, 55.14 [95% CI, -40.91 to 151.19]) and from 1814.93 to 1877.68 in the self-help group (40.94 [95% CI, -62.14 to 144.02]; between-group p = .84). Increases in MVPA were +24.67 minutes/week (95% CI, 14.77-34.57) in the intervention versus +11.41 minutes/week in the self-help (95% CI, 1.44-21.38; between-group p = .07). CONCLUSION: Although the intervention did not result in significant differences in total PA, the increase in MVPA relative to the self-help group might be associated with important health benefits. Future research should examine moderators to identify for whom, and under what conditions, the intervention might be effective. CLINICALTRIALS: gov Identifier: NCT03569605. PLAIN LANGUAGE SUMMARY: Physical inactivity is common in young adult cancer survivors. However, few interventions have focused on helping young adult cancer survivors to get more physical activity. The IMproving Physical Activity after Cancer Treatment trial compared a mobile health physical activity intervention with a self-help group on total amount of physical activity at 6 months in a nationwide sample of young adult cancer survivors. Intervention participants did not improve their total amount of physical activity, but they did increase their moderate-to-vigorous intensity physical activity by twice as much as the self-help participants. This increase in activity may be associated with health benefits.

Recruitment of young adult cancer survivors into a randomized controlled trial of an mHealth physical activity intervention.

PURPOSE: Few studies have recruited young adult cancer survivors (YACS) from around the USA into remotely-delivered behavioral clinical trials. This study describes recruitment strategies used in the IMproving Physical Activity after Cancer Treatment (IMPACT) study, a 12-month randomized controlled trial of a mobile physical activity intervention for YACS. METHODS: We conducted formative work to guide development of recruitment messages and used a variety of methods and channels to recruit posttreatment YACS (diagnosed ages 18-39, participating in < 150 min/week of moderate-to-vigorous intensity activity). We used targeted social media advertisements, direct mailings, clinical referrals, and phone calls to potentially eligible individuals identified through local tumor registries. We also asked community organizations to share study information and advertized at a national conference for YACS. RESULTS: The final sample of 280 participants (23% identified as racial/ethnic minority individuals, 18% male, mean 33.4 ± 4.8 years) was recruited over a 14-month period. About 38% of those who completed initial screening online (n = 684) or via telephone (n = 63) were randomized. The top recruitment approach was unpaid social media, primarily via Facebook posts by organizations/friends (45%), while direct mail yielded 40.7% of participants. Other social media (paid advertisements, Twitter), email, clinic referrals, and conference advertisements each yielded 3% or fewer participants. The most cost-effective methods per participant recruited were unpaid social media posts and direct mailings. CONCLUSIONS: The IMPACT trial successfully met enrollment goals using a national strategy to recruit physically inactive YACS. Our approaches can inform recruitment planning for other remotely-delivered intervention trials enrolling YACS. TRIAL REGISTRATION: ClinicalTrials.gov NCT03569605 . Registered on 26 June 2018.

Promoting physical activity in young adult cancer survivors using mHealth and adaptive tailored feedback strategies: Design of the Improving Physical Activity after Cancer Treatment (IMPACT) randomized controlled trial.

INTRODUCTION: Despite the health benefits of physical activity for cancer survivors, nearly 60% of young adult cancer survivors (YACS) are physically inactive. Few physical activity interventions have been designed specifically for YACS. PURPOSE: To describe the rationale and design of the IMPACT (IMproving Physical Activity after Cancer Treatment) trial, which tests the efficacy of a theory-based, mobile physical activity intervention for YACS. METHODS: A total of 280 physically inactive YACS (diagnosed at ages 18-39) will be randomized to a self-help control or intervention condition. All participants will receive an activity tracker and companion mobile app, cellular-enabled scale, individual videochat session, and access to a Facebook group. Intervention participants will also receive a 6-month mobile intervention based on social cognitive theory, which targets improvements in behavioral capability, self-regulation, self-efficacy, and social support, and incorporates self-regulation strategies and behavior change techniques. The program includes: behavioral lessons; adaptive goal-setting in response to individuals' changing activity patterns; tailored feedback based on objective data and self-report measures; tailored text messages; and Facebook prompts encouraging peer support. Assessments occur at baseline, 3, 6, and 12 months. The primary outcome is total physical activity min/week at 6 months (assessed via accelerometry); secondary outcomes include total physical activity at 12 months, sedentary behavior, weight, and psychosocial measures. CONCLUSIONS: IMPACT uniquely focuses on physical activity in YACS using an automated tailored mHealth program. Study findings could result in a high-reach, physical activity intervention for YACS that has potential to be adopted on a larger scale and reduce cancer-related morbidity. ClinicalTrials.gov Identifier: NCT03569605.

Dietary outcomes within the study of novel approaches to weight gain prevention (SNAP) randomized controlled trial.

BACKGROUND: Young adults (YA) are at high-risk for unhealthy dietary behaviors and weight gain. The Study of Novel Approaches to Weight Gain Prevention (SNAP) Trial demonstrated that two self-regulation approaches were effective in reducing weight gain over 2 years compared with control. The goal of this analysis was to examine effects of intervention on dietary outcomes and the association of diet changes with weight change. METHODS: Participants were 599 YA, age 18-35 years, BMI 21.0-30.0 kg/m2 (27.4 ± 4.4 years; 25.4 ± 2.6 kg/m2; 22% men; 73% non-Hispanic White), who were recruited in Providence, RI and Chapel Hill, NC and randomized to self-regulation with Small Changes (SC), self-regulation with Large Changes (LC) or Control (C). SC and LC emphasized frequent self-weighing to cue behavior changes (small daily changes vs. periodic large changes) and targeted high-risk dietary behaviors. Diet and weight were assessed at baseline, 4 months and 2 years. RESULTS: LC and SC had greater decreases in energy intake than C at 4 months but not 2 years. LC had the greatest changes in percent calories from fat at 4 months, but differences were attenuated at 2 years. No differences in diet quality were observed. Across conditions, increased total energy consumption, fast food, meals away from home, and binge drinking, and decreased dietary quality and breakfast consumption were all associated with weight gain at 2 years. CONCLUSIONS: This study suggests the need to strengthen interventions to produce longer term changes in dietary intake and helps to identify specific behaviors associated with weight gain over time in young adults. TRIAL REGISTRATION: Clinicaltrials.gov # NCT01183689 , registered August 18, 2010.

Young Adults' Attitudes and Perceptions of Obesity and Weight Management: Implications for Treatment Development.

Young adults are underrepresented in standard behavioral weight loss trials, and evidence suggests that they differ from older adults on many weight-related constructs. The aim of this review is to explore young adults' attitudes toward obesity and weight management, with particular attention to those factors that may play a role in the development of future treatment efforts. Both intrapersonal and interpersonal considerations unique to young adulthood are assessed; in addition, we examine young adults' perceptions of specific weight-related behaviors such as dieting, physical activity, and self-weighing. Conclusions are consistent with other findings suggesting that weight management interventions should be adapted and designed specifically for this age group.

Frequent self-weighing as part of a constellation of healthy weight control practices in young adults.

OBJECTIVE: Frequent self-weighing is linked with weight management success, but concern has been raised about its possible association with unhealthy practices. This study examined the association of self-weighing with other weight control behaviors in a sample for whom frequent weighing might be questioned--namely, normal-weight or overweight (BMI of 21-29.9) young adults (age 18-35). METHODS: Participants (N = 583; mean [SD] age = 27.7 [4.4]; BMI = 25.4 [2.6]) entering the Study of Novel Approaches to Weight Gain Prevention (SNAP) completed objective measures of weight and physical activity and self-reported weight history, use of healthy and unhealthy weight control strategies, depressive symptoms, and dietary intake. RESULTS: Daily self-weighing was reported by 11% of participants, and 23% weighed several times per week. Frequent weighing was not associated with current BMI, gender, or age but was associated with being further below one's highest weight, history of dieting, and perceived difficulty maintaining weight. Frequent weighing was associated with healthy weight management strategies, but not with unhealthy practices or depressive symptoms. CONCLUSIONS: In this sample, frequent self-weighing appears to be part of a constellation of healthy weight control behaviors used to counteract a perceived tendency toward weight gain. SNAP follow-up will determine whether frequent self-weighing helps prevent weight gain.