An Acceptance Based Lifestyle Intervention in Black Breast Cancer Survivors with Obesity

To assess the feasibility and early efficacy of a combined lifestyle and acceptance-based therapy (ABT) intervention on weight loss at 16 weeks among Black breast cancer (BC) survivors with obesity. Thirty black breast cancer survivors with a BMI ≥ 30 kg/m² at least 6 months post-treatment were enrolled. Outcomes included feasibility process measures, physical well-being assessed using the subscale of QOL-Breast Cancer (QOL-BC), physical activity assessed by Global Physical Activity Questionnaire (GPAQ), and weight. Fisher's Exact/Chi-Squared tests and Wilcoxon rank-sum tests were used to explore differences between responders and non-responders, as well as within-group changes during the intervention. Within the first 4 weeks, responders (participants who lost any weight) lost a median of 2.6 lbs. compared to non-responders (no weight loss) who gained a median of 2.6 lbs. At 16 weeks, participants reported greater physical well-being (p < 0.0001), increased time in recreational activities (p = 0.03), and a median weight loss of 5.6 pounds in responders vs. 0.7 pounds in non-responders (p ≤ 0.001). Non-responders were more likely to have developed a new health condition compared to responders (44% vs. 0%; p = 0.014). In this study, weight loss at 4 weeks and new-onset health conditions were significant factors associated with non-response to the combined intervention. Black BC with obesity are at high risk for recurrent cancer and secondary health conditions. ABT may be a suitable adjunct therapeutic option to lifestyle interventions implemented soon after a cancer diagnosis to improve physical well-being, increase physical activity, and promote weight loss.

Making large changes or small changes to prevent weight gain in young adulthood: which is preferred and by whom?

Knowledge of participant treatment preferences can inform decision-making regarding treatment dissemination and future participant adoption. To compare participant perceptions of two evidence-based approaches for weight gain prevention in young adults to identify the intervention with the greatest likelihood of adoption. As part of a randomized trial (Study of Novel Approaches to Weight Gain Prevention [SNAP]; n = 599) testing weight gain prevention interventions in young adults (18-35 years), individuals assigned to self-regulation interventions using either large changes or small changes reported on perceived personal effectiveness and difficulty of treatment over 3 years. Treatment satisfaction at 2-year follow-up was also reported. Pre-randomization, participants believed the large change intervention would be more personally effective than the small change intervention, although they also considered it more complex. Older age, lower body mass index (p = 0.056), and desire to maintain versus lose weight predicted greater perceived effectiveness of the small change relative to large change intervention. Over follow-up, the large change intervention was no longer perceived as more effective, but perceived effectiveness aligned with assigned treatment. The small change intervention was rated as less complex than the large change intervention at 4 months, but not at other follow-ups. At study conclusion, participants were largely satisfied with both treatments; however, in the small change intervention, individuals who were not successful at preventing weight gain were less satisfied than individuals who were successful. The large and small change interventions are both appropriate for dissemination with no clear advantages based on the participant perceptions.

Mental health and behavioral weight loss: 24-month outcomes in Veterans

BACKGROUND

Individuals with mental health (MH) disorders have an increased risk of being overweight/obese; however research on behavioral weight loss interventions has been limited. A priori hypothesis was that Veterans with serious mental illness (SMI) and/or affective disorders (AD) would lose significantly less weight and have a different pattern of weight loss than Veterans without these diagnoses.

METHODS

Secondary data analysis of ASPIRE-VA study, three-arm randomized, effectiveness weight loss trial among Veterans (n=409) categorized by MH diagnoses: 1) SMI, 2) AD without SMI, or 3) No SMI/No AD. Linear mixed-effects model analyzed weight changes from baseline thru 24 months.

RESULTS

SMI and AD were diagnosed in 10% (n=41) and 31% (n=125). Participants attended approximately 15 sessions from baseline to 24 months. On average, participants lost a modest amount of weight over 24 months regardless of MH diagnosis. Longitudinally, no statistically significant differences were found in weight loss patterns by MH diagnosis. Unadjusted average weight loss (kg) was 1.6±4.0 at 3 months (n=373), 1.9±6.5 at 12 months (n=361), 1.5±7.8 at 18 months (n=289), and 1.4±8.0 at 24 months (n=279).

LIMITATIONS

ASPIRE-VA study was not designed or powered to detect weight loss differences among MH diagnostic groups.

CONCLUSIONS

Veterans achieved and maintained modest weight loss, through 24 months, with the three behavioral weight loss interventions. Contrary to our hypotheses, the amount and pattern of weight loss did not differ by MH diagnosis. Greater inclusion of individuals with MH diagnoses may be warranted in behavioral weight loss interventions not specifically tailored for them.

The impact of an m-Health financial incentives program on the physical activity and diet of Australian truck drivers

Background

Chronic diseases are high in truck drivers and have been linked to work routines that promote inactivity and poor diets. This feasibility study examined the extent to which an m-Health financial incentives program facilitated physical activity and healthy dietary choices in Australian truck drivers.

Methods

Nineteen men (mean [SD] age = 47.5 [9.8] years; BMI = 31.2 [4.6] kg/m²) completed the 20-week program, and used an activity tracker and smartphone application (Jawbone UP™) to regulate small positive changes in occupational physical activity, and fruit, vegetable, saturated fat and processed/refined sugar food/beverage choices. Measures (baseline, end-program, 2-months follow-up; April–December 2014) were accelerometer-determined proportions of work time spent physically active, and a workday dietary questionnaire. Statistical (repeated measures ANOVA) and thematic (interviews) analyses assessed program impact.

Results

Non-significant increases in the mean proportions of work time spent physically active were found at end-program and follow-up (+1%; 7 mins/day). Fruit (p = 0.023) and vegetable (p = 0.024) consumption significantly increased by one serve/day at end-program. Non-significant improvements in saturated fat (5%) and processed/refined sugar (1%) food/beverage choices were found at end-program and follow-up. Overall, 65% (n = 11) of drivers demonstrated positive changes in physical activity, and at least one dietary choice (e.g. saturated fat) at follow-up. Drivers found the financial incentives component of the program to be a less effective facilitator of change than the activity tracker and smartphone application, although this technology was easier to use for monitoring of physical activity than healthy dietary choices.

Conclusions

Not all drivers benefitted from the program. However, positive changes for different health behaviours were observed in the majority of participants. Outcomes from this feasibility study inform future intervention development for studies with larger samples.

Trial registration

ANZCTR12616001513404. Registered November 2nd, 2016 (retrospectively registered).