Feasibility of the flipped classroom approach for health education in a clinical weight loss program.

Aim: To assess the feasibility of the flipped classroom pedagogy in a clinical weight loss program and its impact on 6-month weight change. Methods: Adults with overweight/obesity enrolled in a 6-month program with a structured diet (portion-controlled meals and fruits/vegetables) and exercise plan (≥150mins/week), plus weekly, 1-h group education sessions. Sessions used a flipped classroom approach: educational content was delivered beforehand via podcast/video and book readings and session time involved application-based activities (e.g., case studies, games). Satisfaction surveys were completed at 3 months. Weight change was assessed using paired t-tests (SAS 9.4, significance 0.05). Results: Eighteen participants completed 6 months (retention 94%). Participants maintained diet adherence and exercise at 3 months (∼84% diet adherence, ∼153mins exercise/week) and 6 months (∼83% diet adherence, ∼158mins exercise/week), as well as attendance to behavioral sessions (3 months: 77%; 6mo: 71%). Satisfaction surveys showed high program enjoyment (∼8.1/10). Mean weight change at 3 and 6 months was -6.5 ± 4.2% and - 9.3 ± 5.0% (both p < 0.01), respectively. Conclusion: The flipped classroom pedagogy was feasible for delivery in a clinical weight loss program and supported significant 6-month weight loss. Innovation: This is the first evaluation of the flipped classroom in a clinical setting and supports the investigation of this pedagogy in weight management.

2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities.

BACKGROUND: The Compendium of Physical Activities was published in 1993 to improve the comparability of energy expenditure values assigned to self-reported physical activity (PA) across studies. The original version was updated in 2000, and again in 2011, and has been widely used to support PA research, practice, and public health guidelines. METHODS: This 2024 update was tailored for adults 19-59 years of age by removing data from those ≥60 years. Using a systematic review and supplementary searches, we identified new activities and their associated measured metabolic equivalent (MET) values (using indirect calorimetry) published since 2011. We replaced estimated METs with measured values when possible. RESULTS: We screened 32,173 abstracts and 1507 full-text papers and extracted 2356 PA energy expenditure values from 701 papers. We added 303 new PAs and adjusted 176 existing MET values and descriptions to reflect the addition of new data and removal of METs for older adults. We added a Major Heading (Video Games). The 2024 Adult Compendium includes 1114 PAs (912 with measured and 202 with estimated values) across 22 Major Headings. CONCLUSION: This comprehensive update and refinement led to the creation of The 2024 Adult Compendium, which has utility across research, public health, education, and healthcare domains, as well as in the development of consumer health technologies. The new website with the complete lists of PAs and supporting resources is available at https://pacompendium.com.

Older Adult Compendium of Physical Activities: Energy costs of human activities in adults aged 60 and older.

PURPOSE: To describe the development of a Compendium for estimating the energy costs of activities in adults ≥60 years (OA Compendium). METHODS: Physical activities (PAs) and their metabolic equivalent of task (MET) values were obtained from a systematic search of studies published in 4 sport and exercise databases (PubMed, Embase, SPORTDiscus (EBSCOhost), and Scopus) and a review of articles included in the 2011 Adult Compendium that measured PA in older adults. MET values were computed as the oxygen cost (VO2, mL/kg/min) during PA divided by 2.7 mL/kg/min (MET60+) to account for the lower resting metabolic rate in older adults. RESULTS: We identified 68 articles and extracted energy expenditure data on 427 PAs. From these, we derived 99 unique Specific Activity codes with corresponding MET60+ values for older adults. We developed a website to present the OA Compendium MET60+ values: https://pacompendium.com. CONCLUSION: The OA Compendium uses data collected from adults ≥60 years for more accurate estimation of the energy cost of PAs in older adults. It is an accessible resource that will allow researchers, educators, and practitioners to find MET60+ values for older adults for use in PA research and practice.

2024 Wheelchair Compendium of Physical Activities: An update of activity codes and energy expenditure values.

PURPOSE: This paper presents an update of the 2011 Wheelchair Compendium of Physical Activities designed for wheelchair users and is referred to as the 2024 Wheelchair Compendium. The Wheelchair Compendium aims to curate existing knowledge of the energy expenditure for wheelchair physical activities (PAs). METHODS: A systematic review of the published energy expenditure of PA for wheelchair users was completed between 2011 and May 2023. We added these data to the 2011 Wheelchair Compendium data that was compiled previously in a systematic review through 2011. RESULTS: A total of 47 studies were included, and 124 different wheelchair PA reported energy expenditure values ranging from 0.8 metabolic equivalents for wheelchair users (filing papers, light effort) to 11.8 metabolic equivalents for wheelchair users (Nordic sit skiing). CONCLUSION: In introducing the updated 2024 Wheelchair Compendium, we hope to bridge the resource gap and challenge the prevailing narratives that inadvertently exclude wheelchair users from physical fitness and health PAs.

Energy Costs of Chair Sitting and Standing Video Exercises in Chinese Older Adults Over 60 Years.

Home-based video exercise interventions improve older adults' physiological performance and functional capacity. Little is known about the energy costs of video exercises in older adults. The Compendium of Physical Activities (PAs) has few items with PA metabolic equivalents (METs) in older adults. This study measured the energy costs of four chair and two standing exercises (sitting Tai Chi, Yoga, mobility ball, aerobics: standing, slow aerobics, and fast aerobics). Fifteen females and 14 males, 62-87 years (M ± SD, 73 ± 7.7 years), were categorized into three age groups (60-69, 70-79, 80-89). Oxygen uptake (VO2, ml·min-1·kg-1) and heart rate (HR, b·min-1) were measured by indirect calorimetry and heart rate monitor. MET values were calculated as standard- (activity VO2/3.5), rounded- (significant digit rounded to 0, 3, 5, 8), and corrected METs (individual resting metabolism). Results showed chair Yoga, Tai Chi, and mobility ball ranged from 2.0 to 2.8 rounded METs (light intensity). Chair- and standing aerobics ranged from 3.0 to 4.3 rounded METs (moderate intensity). Averaged HR ranged from 91.9 ± 12.7 b·min-1 to 115.4 ± 19.1 b·min-1 for all PAs. Corrected METs were higher than standard METs (P < .05). Standard METs were similar between age groups (P > .05). In conclusion, this study is unique as it measures the energy costs of sitting and standing video exercises that can be performed by older adults at home or in an exercise facility. Knowing the energy costs of PAs for older adults can provide exercises interventions to prevent sedentary lifestyles.

Development and Rasch Analysis of the 18-Item Health Resilience Profile (HRP).

Existing resilience measures have psychometric shortcomings, and there is no current gold-standard resilience measure. Previous work indicates adults enrolled in a health coaching program may benefit from a resilience measure that is tailored and contextualized to this sample. This two-part study aimed to develop and evaluate a resilience instrument focused on health behavior change in adults in a health coaching program. Two studies were conducted to (1) create a resilience instrument (Health Resilience Profile; HRP) specific to adults attempting health behavior change (n = 427; female = 83.8%; age = 44.5 ± 11.9 years) and to (2) optimize the instrument performance using Rasch analysis (n = 493; female = 62.1%; age = 49.8 ± 12.5 years). Study 1 identified two issues: (1) four unacceptable misfit items and (2) inappropriate rating scale functioning. Study 2 evaluated an improved instrument based on the outcome of study 1 resulting in one more misfit item, and unidimensionality was supported. The new four-category rating scale functioned well. The item-person map indicated that item difficulty distribution was well matched to participants' resilience level, and items were free from measurement error. Finally, items did not show differential item functioning across age, sex, alcohol use, and obesity status. The 18-item HRP is optimized for adults in a health coaching program.

Self-compassion and body image in pregnancy and postpartum: A randomized pilot trial of a brief self-compassion meditation intervention.

The current study evaluated the efficacy of a three-week self-compassion (SC) meditation intervention in improving body image and SC during pregnancy and postpartum. Participants (n = 71; age = 31.92 ± 3.98 years; white = 61, 85.9%; intervention = 35, 49.3%; pregnant = 33, 46.5%; postpartum = 38, 53.5%) were recruited from a health coaching program and 35 were randomly assigned into a three-week SC meditation intervention while 36 were randomly assigned to a waitlist control condition. Linear regressions using full-information maximum likelihood estimation examined the effect of intervention group on body image and SC outcomes controlling for baseline level of outcome, pregnancy or postpartum status, previous meditation experience, and physical activity. Results indicated women in the intervention group reported significantly reduced body shame and body dissatisfaction and improved body appreciation and self-compassion compared to women in the control group. Implementation of a brief SC meditation intervention during pregnancy and postpartum has potential to improve mental health outcomes related to body image. Future work should replicate this study with a larger, more diverse sample of women.

Energy Costs of Household and Eldercare Activities in Young to Middle-Aged Chinese Adults.

BACKGROUND: The 2011 Compendium of Physical Activities provides metabolic equivalent (MET) values for household and eldercare activities (physical activities [PAs]). METs are from published studies, estimated if values are not published, or combined with other PAs with different METs in a single entry. Some PAs are missing from the Compendium. This study measures the energy costs for 15 household and eldercare PAs with estimated METs, PAs in combined entries, and new PAs. METHODS: Participants were 30 adults (14 males and 16 females), ages 22-58 years (33.7 [11.2] y). PAs were measured in a laboratory for 8 minutes with a 4-minute rest between PAs. A portable indirect calorimeter measured oxygen uptake (in milliliters per kilogram per minute). Standard METs were computed as activity VO2/3.5 mL·kg-1·min-1. RESULTS: Cooking, meal tasks, laundry, light cleaning, and watering plants ranged from 1.8 to 2.3 METs. Sweeping, walking, and carrying groceries and boxes on the ground and stairs ranged from 3.0 to 5.5 METs. Eldercare ranged from 1.8 to 3.0 METs. Measured METs differed from estimated values by ±0.3 to 2.2 METs. Most measured METs were lower than estimated METs. CONCLUSION: Updating estimated METs with measured values and separating PAs from combined entries increases the accuracy of household and eldercare PAs presented in the Compendium.

Psychometric properties of the 26-item eating attitudes test (EAT-26): an application of rasch analysis.

BACKGROUND: The 26-item Eating Attitudes Test (EAT-26) is a commonly used tool to assess eating disorder risk. The purpose of this study was to examine the psychometric properties of the EAT-26 with a combined sample: (1) of adults with overweight and obesity enrolled in a behavioral weight loss program and (2) general adult sample (n = 469; age = 36.17 ± 17.83 years; female = 72.5%; white = 66.3%; obese BMI category = 58%). METHODS: Rasch modeling was used to assess model-data fit, create an item-person map to evaluate relative distribution items and persons, item difficulty, and person's eating disorder (ED) risk level of the EAT-26. Differential item functioning (DIF) and rating scale functioning of the EAT-26 were also evaluated using Rasch analysis. RESULTS: A total of 7 misfit items were removed from the final analysis due to unacceptable Infit and Outfit mean square residual values. The item-person map showed that the items were biased toward participants with moderate to high levels of ED risk and did not cover those who had low risk for having an ED (< - 1 logits). The DIF analyses results showed that none of the items functioned differently across sex, but 5 items were flagged based on obesity status. The six-category Likert-type rating scale did not function well indicating a different response format may be needed. CONCLUSION: Several concerns were identified with the psychometric evaluation of the EAT-26 that may question its utility in assessing ED risk in individuals at low risk for ED, within samples of people who have overweight and obesity seeking weight loss treatment. The 26-item Eating Attitudes Test is a self-rated measure of eating attitudes that measures symptoms and concerns of eating disorders (ED). Very little is known about how this instrument performs differently based on individual factors like body mass index (BMI) and sex (male/female). We used an advanced measurement theory (i.e., Rasch analysis) to determine if the EAT-26 is an adequate measure to detect disordered eating in men and women of different BMIs. Results indicated that the EAT-26 was biased toward participants with moderate to high levels of disordered eating risk and did not adequately detect individuals at low risk for disordered eating. The EAT-26 did not function differently based on sex (male/female). However, five questions did function differently based on obesity status (those without obesity/ those with obesity). Finally, we observed the six-category rating scale did not function appropriately and that a new response format may be warranted. In sum, there were several issues (e.g., poor rating scale and different item functioning) with the EAT-26 and future work should develop screening tools that detect low risk of disordered eating as well as function well in adults with overweight and obesity.

Examination of three-factor eating questionnaire subscale scores on weight loss and weight loss maintenance in a clinical intervention.

BACKGROUND: The purpose of this study is to examine three-factor eating questionnaire (TFEQ) scores at baseline and post-intervention (6 months) on successful weight loss and weight maintenance in an 18-month behavioral weight management intervention for adults with overweight and obesity. METHODS: TFEQ and weight were assessed at baseline, 6, and 18 months. Logistic regression models were used to examine scores at baseline on disinhibition, restraint, and perceived hunger factors in the TFEQ on 5% body weight loss at 6 months and 6-month scores to predict 5% weight maintenance at 18 months while controlling for age, sex, and baseline weight. RESULTS: Participants (n = 287; age = 43.8 ± 10.36 years; female = 64.1%; weight = 222.5 ± 39.02 pounds; BMI = 34.73 ± 4.56) were included for analysis. Dietary restraint at baseline was the only significant predictor of 5% weight loss at 6 months. None of the TFEQ subscale scores at 6 months predicted 5% weight maintenance at 18 months. The model examining weight loss at 6 months accounted for 7% of the variance of the outcome and 11% of the variance of weight maintenance at 18 months. CONCLUSION: Dietary restraint is a unique eating behavior associated with weight loss at 6 months beyond other eating behaviors measured by the TFEQ in an adult sample enrolled in a weight loss intervention. No other subscale scores were significant at 6 months or at 18 months. Future research should consider how to promote flexible control and discourage adoption of rigid restraint behaviors since the latter is associated with disordered eating patterns.

Energy Cost of Reclining, Sitting, and Standing Activities in Chinese Adults.

The 2011 Compendium presents MET values for sedentary behaviors (SBs) and light-intensity physical activities (LIPAs). Some entries have estimated METs, others have multiple activities in a single entry, and newer activities are not in the Compendium. Accurate MET values are needed to increase the validity and generalizability of the Compendium. This study measured and analyzed SBs and LIPAs' energy costs in reclining, sitting, standing postures, and fidgeting. Indirect calorimetry measured the energy costs (VO2, ml·kg-1.min-1) in 11 males and seven females (30.7 ± 7.6 y). Two groups of 9 participants each completed 17 randomly assigned activities (9 in group 1; 8 in group 2) for 5 minutes with a 2-minute rest between tasks. Standard METs were calculated as VO2 ml·kg-1.min-1/3.5 ml·kg-1.min-1. Results showed mean MET values for doing nothing (recline: 1.3, sit: 1.3. stand: 1.3); Watching TV on a mobile phone (recline: 1.3, sit: 1.3); Reading (recline; 1.5, sit: 1.0); Writing (recline: 1.5, sit: 1.3, stand: 1.3); Texting or viewing websites on a mobile phone (recline: 1.3, sit: 1.3, stand: 1.3); Fidgeting (sit hands only: 1.5, sit feet only: 1.8, stand hands and feet: 2.0); Typing (stand: 1.3). Measured vs. Compendium METs were the same for five SBs and LIPAs, higher for three SBs and LIPAs (by 0.2 METs), and lower for one SB (by 0.3 METs). In conclusion, the activities ranged from 1.0 to 2.0 METs, categorized as sedentary and light-intensity. Increasing the accuracy of Compendium MET values increases its utility for the correct classification of SB and LIPAs.

Effectiveness of profile by Sanford behavioral weight loss program for weight loss following endometrial cancer treatment.

OBJECTIVE: To examine differences in weight change and Body Mass Index (BMI) at 12 months among women in remission from endometrial cancer who enrolled in a behavioral weight loss (BWL) program and a matched patient control group. METHODS: Women (n = 22) were enrolled into the BWL program and were compared against a control group (n = 28) that accounted for age, BMI, cancer type, cancer stage, and treatment dates. The BWL program included weekly health coaching meetings that targeted nutrition, activity, and behavior change topics. RESULTS: Women enrolled in the BWL program completed 28.3 ± 14.1 appointments over 12 months resulting in an average weight change of -14.2 ± 7.8 kg (-13.3 ± 7.4%) at 6 months and -16.4 ± 12.5 kg (-15.3 ± 11.4%) at 12 months (all p < 0.001). Women in the control group had a weight change of -1.7 ± 8.4 kg (-2.3 ± 7.6%) at 12 months which was significantly different than the BWL condition (p < 0.001). BMI was significantly reduced in the BWL group at 6 months (-4.8 ± 4.5, p < 0.001) and 12 months (-5.2 ± 5.9, p < 0.001) and significantly different than in the control group at 12 months (-0.9 ± 3.2, p = 0.007). CONCLUSIONS: The BWL program yielded clinically significant weight loss for endometrial cancer survivors. Future work should include longer follow up periods and include additional behavioral and psychosocial outcomes.

Patterns of Weight Change in a Commercial Weight Loss Program.

Objectives: In this study, we examined compliance and progress factors associated with weight loss and maintenance, individual patterns of weight trends following weight loss, and impact of early weight loss on longer-term weight change. Methods: We conducted secondary analysis of pre-post data. Participants were 8769 persons (mean age = 47.63 ± 13.78 years; 77.74% women; mean weight = 97.20 ± 22.82 kilograms; BMI = 34.09 ± 6.84) in a commercial weight management program. We carried out multiple regression analyses on weight change and percentage, and used ANOVA and the Pearson chi-square test to examine participant characteristics, weight change patterns, and early weight loss success. Results: Participants were active in the program for 222 ± 158 days, completed 15 ± 13 appointments, achieving -8.53 ± 7.87 kilograms lost (-8.61% ± 7.64%). Greater weight loss was associated with appointment frequency (ß = -0.46) and total spending (ß = -2.89) (p < .01). We identified 5 weight change patterns (F = 37.56, p < .001) (total weight loss for each group was: Stable = -10.4% [N=2036]; Minimal Regain = -10.5% [N=3766]; Modest Regain = -8.8% [N=1476]; Large Regain = -7.3% [N=753]; No Loss/Gain = +3.7% [N=737]; all p < .05). Over 5000 participants achieved early weight loss (losing > 5%) within the first 2 months resulting in significantly greater final weight loss (-8.43% to -14.56% vs -1.18% to -3.15%). Conclusions: We identified several weight patterns; increased health coaching attendance was associated with greater weight loss.

Pragmatic Evaluation of a Health System-Based Employee Weight Management Program.

Objective: We aimed to evaluate the fidelity and estimate the effectiveness of a novel health system employee weight-management program. Methods: Employees participating in a weight loss program consisting of self-monitoring, health coaching and meal replacements optionally enrolled in the 12-month study. Longitudinal, single-arm analyses were conducted evaluating change over time via survey, claims and programmatic data. Token participation incentives were offered for survey completion. Results: In total, 140 participants enrolled (51.2 ± 9.8 years; BMI = 33.2 ± 6.5 kg/m2; 89.3% female). During 1 year, participants attended 18.0 ± 12.2 coaching appointments and self-reported significant improvements in weight (-8.2 ± 10.5% body weight), BMI (-3.9 ± 6.5 kg/m2), fruit/vegetable intake, home food preparation, added sugar, sugar sweetened beverages and life satisfaction (all p < 0.05). No significant changes were reported in physical activity, weight-related social support, self-efficacy or healthcare utilization (all p > 0.05). Conclusions: The findings from this evaluation establish implementation fidelity. Clinically significant self-reported weight loss, coupled with improvements in many weight-related behaviors, suggest the program is an effective weight management tool when offered as an employee well-being program.

Examining Additional Aspects of Muscle Function with a Digital Handgrip Dynamometer and Accelerometer in Older Adults: A Pilot Study.

Background: Maximal handgrip strength (HGS) could be an incomplete and unidimensional measure of muscle function. This pilot study sought to examine the relationships between maximal HGS, radial and ulnar digit grip strength, submaximal HGS force control, HGS fatigability, neuromuscular HGS steadiness, and HGS asymmetry in older adults. Methods: A digital handgrip dynamometer and accelerometer was used to collect several HGS measurements from 13 adults aged 70.9 ± 4.0 years: maximal strength, radial and ulnar digit grip strength, submaximal force control, fatigability, neuromuscular steadiness, and asymmetry. Pearson correlations determined the relationships between individual HGS measurements. A principal component analysis was used to derive a collection of new uncorrelated variables from the HGS measures we examined. Results: The individual HGS measurements were differentially correlated. Maximal strength (maximal HGS, radial digit strength, ulnar digits strength), contractile steadiness (maximal HGS steadiness, ulnar digit grip strength steadiness), and functional strength (submaximal HGS force control, HGS fatigability, HGS asymmetry, HGS fatigability steadiness) emerged as dimensions from the HGS measurements that we evaluated. Conclusion: Our findings suggest that these additional measures of muscle function may differ from maximal HGS alone. Continued research is warranted for improving how we assess muscle function with more modern technologies, including handgrip dynamometry and accelerometry.

Evaluating Additional Aspects of Muscle Function with a Digital Handgrip Dynamometer and Accelerometer for Cognitive Functioning in Older Adults: A Pilot Study.

Handgrip dynamometers are used to assess handgrip strength (HGS), and low HGS is linked to poor cognitive function. Although HGS is a reliable measure of muscle function, it is only measuring maximal grip force. Other aspects of muscle function such as force control, fatigability, and steadiness are unaccounted for in current HGS protocols. This pilot study sought to determine the role of maximal HGS, submaximal HGS force control, HGS fatigability, and HGS neuromuscular steadiness on cognitive function in older adults. Our findings indicate that these additional HGS measurements could factor into detecting poorer cognitive functioning, while also evolving HGS protocols.

Impairments in Individual Autonomous Living Tasks and Time to Self-Care Disability in Middle-Aged and Older Adults.

OBJECTIVES: Impairments in specific tasks that are necessary for independent living may identify future self-care limitations, and the use of time-varying covariates can better capture the fluidity in functional capacity trajectories over time. The purpose of this study was to determine the associations between individual instrumental activities of daily living (IADL) impairments and time to activities of daily living (ADL) disability for middle-aged and older adults in the United States. DESIGN: Longitudinal panel. SETTING: Detailed interviews that included physical, biological, and psychosocial measures were completed in person. The core interview was typically completed over the telephone. PARTICIPANTS: A nationally representative sample of 15,336 adults aged at least 50 years from the 2006 wave of the Health and Retirement Study was followed for 8 years. MEASURES: Ability to perform IADL and ADL were self-reported at each wave. Separate covariate-adjusted Cox models were used to examine the time-varying associations between individual IADL impairments and time to ADL disability. RESULTS: The presence of each IADL impairment was associated with a higher hazard ratio for an ADL disability for the following functions: 2.52 [95% confidence interval (CI) 2.35, 2.70] for grocery shopping, 1.91 (CI 1.77, 2.06) for preparing hot meals, 1.55 (CI 1.37, 1.76) for taking medications, 1.48 (CI 1.36, 1.61) for managing money, 1.41 (CI 1.27, 1.57) for using a telephone, and 1.38 (CI 1.29, 1.48) for using a map. CONCLUSIONS/IMPLICATIONS: Our findings provide insights into the disabling process by revealing how impairments in each IADL are differentially associated with time to ADL disability. Interventions aiming to retain function during aging should be informed by fluctuations in IADL performance and how specific IADL impairments may exacerbate functional capacity declines more so than others.