Randomized controlled trial of a novel lifestyle intervention used with or without meal replacements in work sites.

OBJECTIVE: Lifestyle interventions have had limited effectiveness in work sites when evaluated in randomized trials. This study assessed the effectiveness of a novel lifestyle intervention for weight loss (Healthy Weight for Living [HWL]) implemented with or without meal replacements (MR) in work sites. HWL used a new behavioral approach emphasizing reducing hunger and building healthy food preferences, and, unlike traditional lifestyle interventions, it did not require calorie counting. METHODS: Twelve work sites were randomized to an 18-month intervention (n = 8; randomization within work sites to HWL, HWL + MR) or 6-month wait-listed control (n = 4). Participants were employees with overweight or obesity (N = 335; age = 48 [SD 10] years; BMI = 33 [6] kg/m2 ; 83% female). HWL was group-delivered in person or by videoconference. The primary outcome was 6-month weight change; secondary outcomes included weight and cardiometabolic risk factors measured at 6, 12, and 18 months in intervention groups. RESULTS: Mean 6-month weight change was -8.8% (95% CI: -11.2% to -6.4%) for enrollees in HWL and -8.0% (-10.4% to -5.5%) for HWL + MR (p < 0.001 for both groups vs. controls), with no difference between interventions (p = 0.40). Clinically meaningful weight loss (≥5%) was maintained at 18 months in both groups (p < 0.001). CONCLUSIONS: A new lifestyle intervention approach, deliverable by videoconference with or without MR, supported clinically impactful weight loss in employees.

Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints.

The science and tools of measuring energy intake and output in humans have rapidly advanced in the last decade. Engineered devices such as wearables and sensors, software applications, and Web-based tools are now ubiquitous in both research and consumer environments. The assessment of energy expenditure in particular has progressed from reliance on self-report instruments to advanced technologies requiring collaboration across multiple disciplines, from optics to accelerometry. In contrast, assessing energy intake still heavily relies on self-report mechanisms. Although these tools have improved, moving from paper-based to online reporting, considerable room for refinement remains in existing tools, and great opportunities exist for novel, transformational tools, including those using spectroscopy and chemo-sensing. This report reviews the state of the science, and the opportunities and challenges in existing and emerging technologies, from the perspectives of 3 key stakeholders: researchers, users, and developers. Each stakeholder approaches these tools with unique requirements: researchers are concerned with validity, accuracy, data detail and abundance, and ethical use; users with ease of use and privacy; and developers with high adherence and utilization, intellectual property, licensing rights, and monetization. Cross-cutting concerns include frequent updating and integration of the food and nutrient databases on which assessments rely, improving accessibility and reducing disparities in use, and maintaining reliable technical assistance. These contextual challenges are discussed in terms of opportunities and further steps in the direction of personalized health.

Randomized trial of a novel lifestyle intervention compared with the Diabetes Prevention Program for weight loss in adult dependents of military service members.

BACKGROUND: Lifestyle interventions are the first-line treatment for obesity, but participant weight loss is typically low. OBJECTIVES: We evaluated the efficacy of an alternative lifestyle intervention [Healthy Weight for Living (HWL)] compared with a modified Diabetes Prevention Program (m-DPP). HWL was based on a revised health behavior change model emphasizing hunger management and the development of healthy food preferences. m-DPP was a standard Diabetes Prevention Program implemented with counselor time matched to HWL. Participants were adult dependents of military personnel and had overweight or obesity. METHODS: Participants were randomly assigned to HWL (n = 121) or m-DPP (n = 117), delivered primarily by group videoconference with additional midweek emails. The primary outcome was 12-mo weight change. Secondary outcomes included 6-mo changes in cardiometabolic risk factors and diet. Intention-to-treat (ITT) and complete case (CC) analyses were performed using linear mixed models. RESULTS: Retention did not differ between groups (72% and 66% for HWL and m-DPP at 12 mo, respectively; P = 0.30). Mean ± SE adjusted 12-mo weight loss in the ITT cohort was 7.46 ± 0.85 kg for HWL and 7.32 ± 0.87 kg for m-DPP (P = 0.91); in the CC cohort, it was 7.83 ± 0.82 kg for HWL and 6.86 ± 0.88 kg for m-DPP (P = 0.43). Thirty-eight percent of HWL and 30% of m-DPP completers achieved ≥10% weight loss (P = 0.32). Improvements in systolic blood pressure, LDL cholesterol, triglycerides, fasting glucose, general health, sleep, and mood were similar across groups; improvements in diastolic blood pressure were greater in m-DPP. Adjusted group mean reductions in energy intake were not significantly different between groups, but HWL participants were more adherent to their dietary prescription for lower glycemic index and high fiber and protein (P = 0.05 to <0.001 for ITT). CONCLUSIONS: HWL and m-DPP showed equivalent and clinically impactful mean weight loss with cardiometabolic benefits. These results identify an alternative approach for behavioral treatment of overweight and obesity.This trial was registered at clinicaltrials.gov as NCT02348853.

Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake.

BACKGROUND: Accurate measurement of dietary intake is vital for providing nutrition interventions and understanding the complex role of diet in health. Traditional dietary assessment methods are very resource intensive and burdensome to participants. Technology may help mitigate these limitations and improve dietary data capture. OBJECTIVE: Our objective was to evaluate the accuracy of a novel mobile application (PIQNIQ) in capturing dietary intake by self-report. Our secondary objective was to assess whether food capture using PIQNIQ was comparable with an interviewer-assisted 24-h recall (24HR). METHODS: This study was a single-center randomized clinical trial enrolling 132 adults aged 18 to 65 y from the general population. Under a provided-food protocol with 3 menus designed to include a variety of foods, participants were randomly assigned to 1 of 3 food capture methods: simultaneous entry using PIQNIQ, photo-assisted recall using PIQNIQ, and 24HR. Primary outcomes were energy and nutrient content (calories, total fat, carbohydrates, protein, added sugars, calcium, dietary fiber, folate, iron, magnesium, potassium, saturated fat, sodium, and vitamins A, C, D, and E) captured by the 3 methods. RESULTS: The majority of nutrients reported were within 30% of consumed intake in all 3 food capture methods (n = 129 completers). Reported intake was highly (>30%) overestimated for added sugars in both PIQNIQ groups and underestimated for calcium in the photo-assisted recall group only (P < 0.001 for all). However, in general, both PIQNIQ methods had similar levels of accuracy and were comparable to the 24HR except in their overestimation (>30%) of added sugars and total fat (P < 0.001 for both). CONCLUSIONS: Our results suggest that intuitive, technology-based methods of dietary data capture are well suited to modern users and, with proper execution, can provide data that are comparable to data obtained with traditional methods. This trial was registered at clinicaltrials.gov as NCT03578458.

Sustained Long-Term Effectiveness of an Energy Management Training Course on Employee Vitality and Purpose in Life.

PURPOSE: Programs designed to sustainably improve employee well-being are urgently needed but insufficiently researched. This study evaluates the long-term effectiveness of a commercial well-being intervention in a worksite setting. DESIGN: A pre/postintervention repeated analysis with follow-up at 6, 12, and 18 months. SETTING: Office-based worksites (for-profit, nonprofit, and mixed work-type; n = 8). PARTICIPANTS: One hundred sixty-three employees with a mean age of 47 (11) years (57% female). INTERVENTION: A 2.5-day group-based behavioral program emphasizing vitality and purpose in life (PiL). MEASURES: Rand Medical Outcomes Survey (MOS) 36-Item Short Form (SF-36) with a focus on vitality (primary outcome), Ryff PiL Scale, Center for Epidemiologic Studies Depression Scale, Profile of Mood States, Rand MOS Sleep Scale, physical activity, body weight, blood pressure, and blood measures for glucose and lipids at baseline, 6, 12, and 18 months. ANALYSIS: General linear models with repeated measures for mean values at baseline and follow-up. RESULTS: At 18-month follow-up, sustained improvements were observed for vitality, general health, and mental health domains of SF-36 and PiL (P < .001 for all measures). Sleep, mood, vigor, physical activity, and blood pressure were also improved at 18 months (P < .05 for all measures). CONCLUSIONS: An intensive 2.5-day intervention showed sustained improvement in employee quality of life, PiL, and other measures of well-being over 18 months.

Effectiveness of an Energy Management Training Course on Employee Well-Being: A Randomized Controlled Trial.

PURPOSE: Programs focused on employee well-being have gained momentum in recent years, but few have been rigorously evaluated. This study evaluates the effectiveness of an intervention designed to enhance vitality and purpose in life by assessing changes in employee quality of life (QoL) and health-related behaviors. DESIGN: A worksite-based randomized controlled trial. SETTING: Twelve eligible worksites (8 randomized to the intervention group [IG] and 4 to the wait-listed control group [CG]). PARTICIPANTS: Employees (n = 240) at the randomized worksites. INTERVENTION: A 2.5-day group-based behavioral intervention. MEASURES: Rand Medical Outcomes Survey (MOS) 36-item Short-Form (SF-36) vitality and QoL measures, Ryff Purpose in Life Scale, Center for Epidemiologic Studies questionnaire for depression, MOS sleep, body weight, physical activity, diet quality, and blood measures for glucose and lipids (which were used to calculate a cardiometabolic risk score) obtained at baseline and 6 months. ANALYSIS: General linear mixed models were used to compare least squares means or prevalence differences in outcomes between IG and CG participants. RESULTS: As compared to CG, IG had a significantly higher mean 6-month change on the SF-36 vitality scale ( P = .003) and scored in the highest categories for 5 of the remaining 7 SF-36 domains: general health ( P = .014), mental health ( P = .027), absence of role limitations due to physical problems ( P = .026), and social functioning ( P = .007). The IG also had greater improvements in purpose in life ( P < .001) and sleep quality (index I, P = .024; index II, P = .021). No statistically significant changes were observed for weight, diet, physical activity, or cardiometabolic risk factors. CONCLUSION: An intensive 2.5-day intervention showed improvement in employee QoL and well-being over 6 months.