Physical Activity, Stress, and Physically Active Stress Management Behaviors Among University Students With Overweight/Obesity.

Student physical activity is associated with lower stress. Research gaps remain regarding the types of stress management behaviors students use and how these behaviors are associated with students' activity levels. This study examined associations between physical activity and stress management behaviors among students (18-35 years). Students with overweight/obesity (n = 405) attending universities in 2 urban locations enrolled in a randomized controlled trial to promote healthy weight and completed the following baseline measurements: perceived stress, stress management behaviors, accelerometer-measured physical activity, and demographic characteristics. Perceived stress did not differ by physical activity status or race. A greater proportion of students meeting moderate-to-vigorous physical activity guidelines used physically active stress management behaviors compared to those not meeting guidelines (74% vs 56%; P = .006), and students using physically active stress management had lower stress scores (13.1 vs 15.5; P = .003). Among Black and White students only (n = 306), a greater proportion of White students used physically active stress management behaviors compared to Black students (77% vs 62%, P = .013). Results indicate differences in stress management behaviors by student activity level and race. During times of high stress, colleges/universities might support students by promoting stress management and physical activity in tandem, and tailoring messages to student activity levels and demographic characteristics.

Personalized versus generic digital weight loss interventions delivered on university campuses: a 6-month cost-benefit analysis.

Cost-effectiveness analyses of weight loss programs for university students can inform administrator decision-making. This study quantifies and compares the costs and cost-effectiveness of implementing two digitally-delivered weight loss interventions designed for university populations. Healthy Body Healthy U (HBHU) was a randomized controlled trial comparing TAILORED (personalized) versus TARGETED (generic) weight loss interventions adapted specifically for young adults to a CONTROL intervention. Participants (N = 459; 23.3 ± 4.4 years; mean BMI 31.2 ± 4.4 kg/m2) were recruited from two universities. Implementation costs were examined from a payer (i.e., university) perspective, comparing both the average cost effectiveness ratio (ACER) and the incremental cost effectiveness ratio (ICER) of the two interventions. Cost-effectiveness measures were calculated for changes in body weight, abdominal circumference, HDL cholesterol, systolic and diastolic blood pressure, and HbA1c. The overall 6-month implementation costs were $105.66 per person for the TAILORED intervention and $91.44 per person for the TARGETED intervention. The ACER for weight change was $107.82 for the TAILORED and $179.29 for the TARGETED interventions. The ICER comparing TAILORED with TARGETED for change in body weight was $5.05, and was even lower ($2.28) when including only those with overweight and not obesity. The ICERs for change in abdominal circumference, HDL cholesterol, systolic and diastolic blood pressure, and HbA1c were $3.49, $59.37, $1.57, $2.64, and $47.49, respectively. The TAILORED intervention was generally more cost-effective compared with the TARGETED intervention, particularly among those with overweight. Young adults with obesity may require more resource-intensive precision-based approaches.

Knowledge about the cost-effectiveness of weight loss programs for university students is needed to inform administrator decision-making regarding whether to provide such programming. This study examined the cost-effectiveness of two digitally-delivered weight loss interventions (i.e., TAILORED and TARGETED) designed for university students. The TAILORED intervention included information tailored to the individual, while the TARGETED intervention included only generic weight loss information. At 6 months, the average cost per kilogram of weight loss was $107.82 for TAILORED participants and $179.29 for TARGETED participants. The TAILORED intervention was generally more cost-effective compared with the TARGETED intervention.

Dietary Behaviors, Physical Activity, and Reported Role Models Among Emerging and Young Adults With Overweight and Obesity.

This article characterizes role models identified by emerging/young adults for healthy eating and physical activity (PA), explores variations in reported role models by age, sex and race/ethnicity, and examines dietary/physical activity behaviors in relation to role models. Emerging/young adults (n=397) enrolled in a randomized controlled weight management trial completed assessments at baseline: self-reported role models for healthy eating and PA, Healthy Eating Index, device-measured PA, and demographics. Participants were 78% female, 50% non-White, with mean age 23.3 years, mean BMI 31.1 kg/m2. For both healthy eating and PA, the most frequently reported role model was friend (diet: 35%; PA: 39%). Parent was reported second most frequently for healthy eating (21%) and third most frequently for PA (11%). Role models for healthy eating, but not PA, differed by race/ethnicity. Role models did not differ by age or sex. Results may inform future interventions to promote healthy behaviors in emerging adults.

Effect of tailoring on weight loss among young adults receiving digital interventions: an 18 month randomized controlled trial.

Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity (N = 459; 23.3 ± 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n = 157). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6, 12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (-2.32 kg [95% confidence intervals: -3.90, -0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25-27.5 kg/m2), those in TAILORED lost 2.27 kg (-3.86, -0.68) more, and those in TARGETED lost 1.72 kg (-3.16, -0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m2, those in TAILORED lost 2.20 kg (-3.90, -0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity.

Application of social marketing to recruitment for a digital weight management intervention for young adults.

Recruiting young adults into weight loss interventions poses challenges that may be mitigated by the use of novel social marketing strategies. The purpose of this study is to describe how social marketing principles were applied to recruitment for a digitally delivered randomized controlled trial for weight management among young adults and report recruitment data and demographics on those who enrolled and did not enroll in the study. The marketing mix of the 7Ps (i.e., product, price, place, promotion, packaging, positioning, and people) was applied to intervention recruitment. Prior to enrollment, respondents completed a screening survey, which was examined to determine optimal strategies for study awareness and enrollment. Of the initial 5,731 who initiated a screener, 3,059 provided data on the source of where they heard about the study. Subsequently, 460 (12.5%) were enrolled in the study, 409 (51.3% non-White; 78.7% female; body mass index: 30.6 ± 4.3) provided data on recruitment source, with emails (72.5%), cited most often followed by flyers/posters (8.8%), "other" (6.7%), and multiple sources (6.6%). Although email remained the most frequently cited promotion source, Pearson's chi-squared tests revealed that, compared to those not enrolled in the study, those who enrolled were more likely to hear about the study via flyers/posters (enrolled = 14.4%; not enrolled = 7.9%; p < .001) and multiple sources (enrolled = 11.7%; not enrolled 5.85%; p < .01) and less likely to hear via email (enrolled = 62.1%; not enrolled = 74.2%; p < .01). This study applied social marketing principles to successfully recruit a large and diverse group of young adults. While email emerged as the most effective source of study awareness, multiple channels and a mix of marketing principles are recommended for recruiting in university settings.

Evaluating an Interactive Digital Intervention for College Weight Gain Prevention.

OBJECTIVE: Pilot a digital interactive intervention for weight gain prevention among college students. METHODS: One sample pre-post study reporting on initial usability and changes in theoretical constructs (ie, self-efficacy, behavioral capability, elaboration) and program acceptability. Twenty college freshmen (mean age, 18.25 ± 0.72 years) reviewed a digital program providing self-assessment and brief tailored feedback on 8 behaviors that relate to a healthy weight: physical activity, sedentary behavior, and consumption of sugary beverages, high fat snacks, breakfast, fried foods, fruits and vegetables, and pizza. RESULTS: At posttest, improvements in self-efficacy were found for 5 behaviors (ie, physical activity, high fat snacks, breakfast, fried foods, fruits and vegetables); improvements in behavioral capability were found for 3 behaviors (ie, high fat snacks, fried foods, and fruits and vegetables). Acceptability benchmarks included: positive impression (60%), relevance (95%), and ease of comprehension (75%). CONCLUSIONS AND IMPLICATIONS: This program demonstrates acceptability for a digital weight gain prevention intervention, with improvements in behavioral mediators of change. Suggestions to simplify messaging and allowing for user control may enhance acceptability and comprehension. There is a need for further testing with larger more diverse populations before broader implementation by universities to address student health.

Formative work to design a digital learning self-assessment and feedback tool to prevent weight gain among college students.

OBJECTIVE: While colleges have implemented brief, tailored interventions for health-risk areas such as alcohol prevention, theoretically-guided digital learning offerings for weight gain prevention have lagged behind in programming and implementation. Thus, the objective was to design and usability test a weight gain prevention digital learning platform for college students with modules targeting key nutrition and physical activity behaviors. METHODS: Development occurred in iterative phases: formative research, descriptive normative data collection, prototype development, and usability testing. Formative research consisted of background work and survey administration to incoming and current freshmen. Prototype development was guided by theories of behavior change and cognitive processing, and consisted of brief assessment and feedback using written text, graphs, and videos. Iterative usability testing was conducted. RESULTS: Current freshmen reported eating more quick order meals per week than incoming freshman, but fewer high-fat snacks and fewer sugary beverages. Current freshmen reported more sedentary time than incoming freshmen. Based on iterative testing results, eight behavioral targets were established: breakfast, high-fat snacks, fried foods, sugary beverages, fruit/vegetables, physical activity, pizza intake, and sedentary behavior. Initial usability testers indicated the modules were easy to understand, held their attention, and were somewhat novel. Analysis of qualitative feedback revealed themes related to content, layout, structure and suggested refinements to the modules. CONCLUSIONS: A gap exists for evidence-based obesity prevention programs targeted to adolescents as they transition into adulthood. Brief, tailored digital learning interventions show promise towards addressing key behavioral nutrition and physical activity targets among students during the transition to college.

Physical Activity and Cardiometabolic Risk Factor Clustering in Young Adults with Obesity.

INTRODUCTION: There is a paucity of information on the clustering of cardiometabolic risk factors in young adults and how this clustering may vary based on whether or not they perform sufficient levels of physical activity. METHODS: We analyzed baseline data from 346 young adults (23.3 ± 4.4 yr) participating in the Healthy Body Healthy U clinical trial from 2015 to 2018. Cardiometabolic risk factors were measured according to standard procedures and moderate- to vigorous-intensity physical activity (MVPA) was determined by accelerometry. A cardiometabolic clustering score (ranging from 0 to 5) was created from five biomarkers according to whether or not a standard clinical risk cut point was exceeded (0, no; 1, yes): abdominal circumference (>102 cm (men) or >88 cm (women)), hemoglobin A1c (≥5.7%), HDL cholesterol (<40 mg·dL (men) or <50 mg·dL (women)), systolic blood pressure (≥130 mm Hg), and diastolic blood pressure (≥85 mm Hg). Cardiometabolic dysregulation (CD) was defined as a cardiometabolic clustering score ≥3. Multiple logistic regression determined the independent association between level of MVPA and CD, while adjusting for sex, race/ethnicity, sedentary time, and smoking. RESULTS: The prevalence of CD was 18% (22% in men, 17% in women). We observed a nonlinear graded association between MVPA and CD. Participants performing 150-300 min·wk of MVPA significantly lowered their odds of CD by 66% (odds ratio, 0.34; 95% confidence interval, 0.16-0.75), whereas those exceeding 300 min·wk lowered their odds by 61% (odds ratio, 0.39; 95% confidence interval, 0.18-0.86) compared with those performing <150 min·wk, independent of obesity and the other covariables. CONCLUSION: Recommended levels of moderate-intensity physical activity is significantly associated with lower odds of CD and thus may prevent or diminish the need for expensive pharmaceutical treatment over the remainder of the life-span.

Using social media to deliver weight loss programming to young adults: Design and rationale for the Healthy Body Healthy U (HBHU) trial.

BACKGROUND: The transitional period from late adolescence to early adulthood is a vulnerable period for weight gain, with a twofold increase in overweight/obesity during this life transition. In the United States, approximately one-third of young adults have obesity and are at a high risk for weight gain. PURPOSE: To describe the design and rationale of a National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) sponsored randomized, controlled clinical trial, the Healthy Body Healthy U (HBHU) study, which compares the differential efficacy of three interventions on weight loss among young adults aged 18-35years. METHODS: The intervention is delivered via Facebook and SMS Text Messaging (text messaging) and includes: 1) targeted content (Targeted); 2) tailored or personalized feedback (Tailored); or 3) contact control (Control). Recruitment is on-going at two campus sites, with the intervention delivery conducted by the parent site. A total of 450 students will be randomly-assigned to receive one of three programs for 18months. We hypothesize that: a) the Tailored group will lose significantly more weight at the 6, 12, 18month follow-ups compared with the Targeted group; and that b) both the Tailored and Targeted groups will have greater weight loss at the 6, 12, 18month follow-ups than the Control group. We also hypothesize that participants who achieve a 5% weight loss at 6 and 18months will have greater improvements in their cardiometabolic risk factors than those who do not achieve this target. We will examine intervention costs to inform implementation and sustainability other universities. Expected study completion date is 2019. CONCLUSIONS: This project has significant public health impact, as the successful translation could reach as many as 20 million university students each year, and change the current standard of practice for promoting weight management within university campus communities. ClinicalTrial.gov: NCT02342912.