Validation of Resting Energy Expenditure Equations in Older Adults with Obesity.

It is unclear which energy expenditure prediction equation should guide weight loss interventions in older adults with obesity. We ascertained the validity of four equations commonly used in practice in a series of weight loss studies of adults aged ≥65 with a body mass index ≥30kg/m2 using indirect calorimetry data. Diagnostic accuracy was defined as <10% discrepancy between predicted and measured resting metabolic rate (RMR). Mean was 73.4 years. RMR using the ReeVue was 1,643 kCal. With 59.0% accuracy, the WHO equation demonstrated the highest accuracy while the Harris-Benedict yielded 53.5% accuracy. The Owens equation demonstrated the least variability (21.5% overprediction, 27.8% underprediction) with 50.7% accuracy. A SECA bioimpedance analyzer noted the second lowest accuracy of 49.6%. Only 43.1% of measurements were within 10% of the gold-standard indirect calorimetry value using the Mifflin equation. All equations demonstrated <60% accuracy suggesting a great need for estimating energy needs.

Impact of whey protein supplementation in a weight-loss intervention in rural dwelling adults: A feasibility study.

BACKGROUND & AIMS: Weight loss in older adults enhances physical function, but may lead to sarcopenia and osteoporosis. Whey protein is a low cost rich source of essential amino acids, may improve physical function. We evaluated the feasibility and acceptability of consuming whey protein in the context of a weight-loss intervention in older adults with obesity. METHODS: A 12-week pilot feasibility, non-randomized weight loss study of 28 older adults was conducted, consisting of individualized, weekly dietitian visits with twice weekly physical therapist-led group strengthening classes. Half consumed whey protein, three times weekly, following exercise. Preliminary efficacy measures of body composition, sit-to-stand, 6-min walk and grip strength and subjective measures of self-reported health and function were also evaluated. RESULTS: Of the 37 enrolled, 28 completed the study (50 % in the protein group). Attendance rates for protein vs. non-protein groups were 89.9 ± 11.1 % vs. 95.6 ± 3.4 % (p = 0.08). Protein consumption was high in those attending classes (90.3 %) as was compliance at home (82.6 %). Whey was pleasant (67.3 ± 22.1, range 30-100, above average), had little aftertaste, and was neither salty or sticky. All were compliant (0.64 ± 0.84, range 0-5, low = higher compliance). Both groups lost significant weight (protein vs. no protein, -3.45 ± 2.86 vs. -5.79 ± 3.08, p = 0.47); Sit-to-stand, 6-min walk, and gait speed were no different, grip strength was improved in the protein compared to the non-protein group (-2.63 kg vs. 4.29 kg; p < 0.001). CONCLUSIONS: Our results suggest that whey protein is a low-cost and readily available nutritional supplement that can be integrated into a weight loss intervention.

Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity.

BACKGROUND: Older adults with obesity residing in rural areas have reduced access to weight management programs. We determined the feasibility, acceptability and preliminary outcomes of an integrated technology-based health promotion intervention in rural-living, older adults using remote monitoring and synchronous video-based technology. METHODS: A 6-month, non-randomized, non-blinded, single-arm study was conducted from October 2018 to May 2020 at a community-based aging center of adults aged ≥65 years with a body mass index (BMI) ≥30 kg/m2. Weekly dietitian visits focusing on behavior therapy and caloric restriction and twice-weekly physical therapist-led group strength, flexibility and balance training classes were delivered using video-conferencing to participants in their homes. Participants used a Fitbit Alta HR for remote monitoring with data feedback provided by the interventionists. An aerobic activity prescription was provided and monitored. RESULTS: Mean age was 72.9±3.9 years (82% female). Baseline anthropometric measures of weight, BMI, and waist circumference were 97.8±16.3 kg, 36.5±5.2 kg/m2, and 115.5±13.0 cm, respectively. A total of 142 participants were screened (n=27 ineligible), and 53 consented. There were nine dropouts (17%). Overall satisfaction with the trial (4.7+ 0.6, scale: 1 (low) to 5 (high)) and with Fitbit (4.2+ 0.9) were high. Fitbit was worn an average of 81.7±19.3% of intervention days. In completers, mean weight loss was 4.6±3.5 kg or 4.7±3.5% (p< 0.001). Physical function measures of 30-s sit-to-stand repetitions increased from 13.5±5.7 to 16.7±5.9 (p< 0.001), 6-min walk improved by 42.0±77.3 m (p=0.005) but no differences were observed in gait speed or grip strength. Subjective measures of late-life function improved (3.4±4.7 points, p< 0.001). CONCLUSIONS: A technology-based obesity intervention is feasible and acceptable to older adults with obesity and may lead to weight loss and improved physical function. CLINICAL TRIAL REGISTRATION: Registered on Clinicaltrials.gov # NCT03104205 . Registered on April 7, 2017. First participant enrolled on October 1st, 2018.

A Weight Loss Intervention Augmented by a Wearable Device in Rural Older Adults With Obesity: A Feasibility Study.

BACKGROUND: Older persons with obesity aged 65+ residing in rural areas have reduced access to weight management programs due to geographic isolation. The ability to integrate technology into health promotion interventions shows a potential to reach this underserved population. METHODS: A 12-week pilot in 28 older rural adults with obesity (body mass index [BMI] ≥ 30 kg/m2) was conducted at a community aging center. The intervention consisted of individualized, weekly dietitian visits focusing on behavior therapy and caloric restriction with twice weekly physical therapist-led group strengthening training classes in a community-based aging center. All participants were provided a Fitbit Flex 2. An aerobic activity prescription outside the strength training classes was provided. RESULTS: Mean age was 72.9 ± 5.3 years (82% female). Baseline BMI was 37.1 kg/m2, and waist circumference was 120.0 ± 33.0 cm. Mean weight loss (pre/post) was 4.6 ± 3.2 kg (4.9 ± 3.4%; p < .001). Of the 40 eligible participants, 33 (75%) enrolled, and the completion rate was high (84.8%). Objective measures of physical function improved at follow-up: 6-minute walk test improved: 35.7 ± 41.2 m (p < .001); gait speed improved: 0.10 ± 0.24 m/s (p = .04); and five-times sit-to-stand improved by 2.1 seconds (p < .001). Subjective measures of late-life function improved (5.2 ± 7.1 points, p = .003), as did Patient-Reported Outcome Measurement Information Systems mental and physical health scores (5.0 ± 5.7 and 4.4 ± 5.0, both p < .001). Participants wore their Fitbit 93.9% of all intervention days, and were overall satisfied with the trial (4.5/5.0, 1-5 low-high) and with Fitbit (4.0/5.0). CONCLUSIONS: A multicomponent obesity intervention incorporating a wearable device is feasible and acceptable to older adults with obesity, and potentially holds promise in enhancing health.

A Community-Based Feasibility Study of Weight-Loss in Rural, Older Adults with Obesity.

This study was a 12-week feasibility weight-loss intervention consisting of caloric restriction and aerobic/resistance exercise in older adults with obesity (body mass index ≥ 30 kg/m2) in a geographically isolated area. Primary outcomes assessed weight and physical function. Mean age was 71.0 ± 5.1 years (67% female). Individuals completed 100% of all assessments, attended 88% of the physical therapy classes and 89% of the nutrition sessions. Level of satisfaction (5-point Likert) was high (5.0, 1 - low; 5 - high). Weight decreased from 93.7 ± 9.7 to 89.4 ± 4.0 kg (p < 0.001). Mean BMI and waist circumference decreased, respectively, from 35.4 ± 3.4 to 33.6 ± 3.7 (p < 0.001), and 116.3 ± 7.5 to 108.7 ± 9.2 cm (p = 0.002). Grip strength, gait speed, and 5-times sit-to-stand time all improved from 29.2 ± 7.5 to 35.2 ± 6.7 kg (p = 0.006), 1.16 ± 0.21 to 1.35 ± 0.23 m/s (p = 0.004), and 12.5 ± 4.0 to 9.6 ± 1.7s (p = 0.02). The intervention was feasible and acceptable, and holds promise in promoting weight loss with a concomitant improvement in physical function in older adults.

The state of nutrition in medical education in the United States.

Despite the significant impact diet has on health, there is minimal nutrition training for medical students. This review summarizes published nutrition learning experiences in US medical schools and makes recommendations accordingly. Of 902 articles, 29 met inclusion criteria, describing 30 learning experiences. Nutrition learning experiences were described as integrated curricula or courses (n = 10, 33%), sessions (n = 17, 57%), or electives (n = 3, 10%). There was heterogeneity in the teaching and assessment methods utilized. The most common was lecture (n = 21, 70%), often assessed through pre- and/or postsurveys (n = 19, 79%). Six studies (26%) provided experience outcomes through objective measures, such as exam or standardized patient experience scores, after the nutrition learning experience. This review revealed sparse and inconsistent data on nutrition learning experiences. However, based on the extant literature, medical schools should build formal nutrition objectives, identify faculty and physician leadership in nutrition education, utilize preexisting resources, and create nutrition learning experiences that can be applied to clinical practice.