Bone health of transgender adults: what the radiologist needs to know.

Sex steroids are important regulators of bone development before puberty and of bone homeostasis throughout adulthood. Gender-affirming therapies with sex steroids are used in transgender and gender diverse persons for treatment of gender dysphoria, which may have profound impacts on their bone metabolism. Many studies have described variable changes in bone density and geometry in transgender cohorts. In order to provide informed guidance on the effect of gender-affirming therapy, the International Society of Clinical Densitometry issued official position statements in 2019 for the performance and interpretation of dual-energy x-ray absorptiometry in transgender and gender-diverse patients. We review the effects of gender-affirming hormone therapy on bone physiology and the changes in bone modulation that have been reported in the literature in transgender patients who have received gender-affirming therapy. We also summarize the recent guidelines for interpretation of dual energy x-ray absorptiometry as an update for the radiologist.

Predictors for Failing the American Board of Radiology Core Examination.

OBJECTIVE. Since the American Board of Radiology (ABR) instituted its new board certification pathway, our residency program has had more residents fail the core examination than was typical with the prior pathway. We performed a single-center retrospective study to evaluate predictors of ABR core examination failure. MATERIALS AND METHODS. Data regarding U.S. Medical Licensing Examination (USMLE) steps 1 and 2, ACR diagnostic radiology in-training examinations, the number of image interpretations, academic degree (doctor of medicine or doctor of osteopathy), status as an American or foreign medical graduate, and Alpha Omega Alpha national medical honor society status were gathered and evaluated through logistic regression and generalized additive logistic regression. Data were gathered for all residents who took the ABR core examination from 2013 to 2017. RESULTS. Six of 30 residents (20%) failed the ABR core examination on the first attempt. The ACR in-training examination scores for 1st- and 3rd-year residents were significantly related to ABR core examination failure (p = 0.027 and p = 0.035, respectively), with significant nonlinearity (p = 0.037 and p = 0.033, respectively). The suggested baseline percentile score was the 30th percentile for 1st-year residents and the 20th percentile for 3rd-year residents. USMLE step 1 and 2 scores were significantly related to ABR core examination failure (p = 0.041 and p = 0.043, respectively), without significant nonlinearity (p = 0.35 and p = 0.09, respectively). However, residents with scores of less than 220 on USMLE steps 1 and 2 seemed to be at risk. CONCLUSION. Low scores on USMLE steps 1 and 2 and 1st- and 3rd-year ACR in-training examinations were associated with ABR core examination failure. If validated more broadly, these cutoffs may serve as predictors of ABR core examination failure and may facilitate identification and remediation of at-risk residents.

Energy Cost Expression for a Youth Compendium of Physical Activities: Rationale for Using Age Groups.

PURPOSE: This study compared the accuracy of physical activity energy expenditure (PAEE) prediction using 2 methods of accounting for age dependency versus 1 standard (single) value across all ages. METHODS: PAEE estimates were derived by pooling data from 5 studies. Participants, 6-18 years (n = 929), engaged in 14 activities while in a room calorimeter or wearing a portable metabolic analyzer. Linear regression was used to estimate the measurement error in PAEE (expressed as youth metabolic equivalent) associated with using age groups (6-9, 10-12, 13-15, and 16-18 y) and age-in-years [each year of chronological age (eg, 12 = 12.0-12.99 y)] versus the standard (a single value across all ages). RESULTS: Age groups and age-in-years showed similar error, and both showed less error than the standard method for cycling, skilled, and moderate- to vigorous-intensity activities. For sedentary and light activities, the standard had similar error to the other 2 methods. Mean values for root mean square error ranged from 0.2 to 1.7 youth metabolic equivalent across all activities. Error reduction ranged from -0.2% to 21.7% for age groups and -0.23% to 18.2% for age-in-years compared with the standard. CONCLUSIONS: Accounting for age showed lower errors than a standard (single) value; using an age-dependent model in the Youth Compendium is recommended.

Physical activity and academic achievement across the curriculum: Results from a 3-year cluster-randomized trial.

We compared changes in academic achievement across 3years between children in elementary schools receiving the Academic Achievement and Physical Activity Across the Curriculum intervention (A+PAAC), in which classroom teachers were trained to deliver academic lessons using moderate-to-vigorous physical activity (MVPA) compared to a non-intervention control. Elementary schools in eastern Kansas (n=17) were cluster randomized to A+PAAC (N=9, target ≥100min/week) or control (N=8). Academic achievement (math, reading, spelling) was assessed using the Wechsler Individual Achievement Test-Third Edition (WIAT-III) in a sample of children (A+PAAC=316, Control=268) in grades 2 and 3 at baseline (Fall 2011) and repeated each spring across 3years. On average 55min/week of A+PACC lessons were delivered each week across the intervention. Baseline WIAT-III scores (math, reading, spelling) were significantly higher in students in A+PAAC compared with control schools and improved in both groups across 3years. However, linear mixed modeling, accounting for baseline between group differences in WIAT-III scores, ethnicity, family income, and cardiovascular fitness, found no significant impact of A+PAAC on any of the academic achievement outcomes as determined by non-significant group by time interactions. A+PAAC neither diminished or improved academic achievement across 3-years in elementary school children compared with controls. Our target of 100min/week of active lessons was not achieved; however, students attending A+PAAC schools received an additional 55min/week of MVPA which may be associated with both physical and mental health benefits, without a reduction in time devoted to academic instruction.

The influence of physical characteristics on the resting energy expenditure of youth: A meta-analysis.

OBJECTIVE: To examine the literature on resting energy expenditure (REE) of youth and determine the influence of age, sex, BMI, and body composition on REE. METHODS: A literature search was conducted using PubMed, BIOSIS Previews, NTIS, EMBASE, MEDLINE, and Pascal databases for studies with data on resting metabolic rate, REE, resting oxygen uptake (or VO2 ) in healthy children, youth, or adolescents (age = 1-18 years). Over 200 publications were identified; sixty-one publications met criteria and were included in the meta-analyses, resulting in 142 study population estimates (totaling 5,397 youth) of REE. RESULTS: Pooled mean was 1414 kcal·day-1 with a significant and moderate-to-high between-study heterogeneity [Q(140) = 7912.42, P < 0.001; I2 = 98.97%]. A significantly greater (P < 0.001) pooled mean kcal·day-1 was estimated for studies with male participants (1519 kcal·day-1 ) comparing to studies with female participants (1338 kcal·day-1 ). Age, height, and body mass resulted in the highest R2 of 86.4 for males and 83.9% for females. Fat free mass and body mass index (BMI) did not improve total R2 . CONCLUSIONS: These data suggest that using a linear equation including age, height, and body mass to estimate REE based on kcal·day-1 is more accurate than estimates based on body mass kcal·kg-1 ·h-1 . Further, if kcal·kg-1 ·h-1 is used, including a quadratic component for the physical characteristics improves the predictive ability of the equation. Regardless of the metric, separate equations should be used for each sex.

Impact of accelerometer wear time on physical activity data: a NHANES semisimulation data approach.

BACKGROUND: Current research practice employs wide-ranging accelerometer wear time criteria to identify a valid day of physical activity (PA) measurement. OBJECTIVE: To evaluate the effects of varying amounts of daily accelerometer wear time on PA data. METHODS: A total of 1000 days of accelerometer data from 1000 participants (age=38.7 ± 14.3 years; body mass index=28.2 ± 6.7 kg/m(2)) were selected from the 2005-2006 National Health and Nutrition Examination Study data set. A reference data set was created using 200 random days with 14 h/day of wear time. Four additional samples of 200 days were randomly selected with a wear time of 10, 11, 12 and 13 h/day(1). These data sets were used in day-to-day comparison to create four semisimulation data sets (10, 11, 12, 13 h/day) from the reference data set. Differences in step count and time spent in inactivity (<100 cts/min), light (100-1951 cts/min), moderate (1952-5724 cts/min) and vigorous (≥5725 cts/min) intensity PA were assessed using repeated-measures analysis of variance and absolute percent error (APE). RESULTS: There were significant differences for moderate intensity PA between the reference data set and semisimulation data sets of 10 and 11 h/day. Differences were observed in 10-13 h/day(1) for inactivity and light intensity PA, and 10-12 h/day for steps (all p values <0.05). APE increased with shorter wear time (13 h/day=3.9-14.1%; 12 h/day=9.9-15.2%, 11 h/day=17.1-35.5%; 10 h/day=24.6-40.3%). DISCUSSION: These data suggest that using accelerometer wear time criteria of 12 h/day or less may underestimate step count and time spent in various PA levels.

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.

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 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.

Physical activity and academic achievement across the curriculum (A + PAAC): rationale and design of a 3-year, cluster-randomized trial.

BACKGROUND: Improving academic achievement and reducing the rates of obesity in elementary school students are both of considerable interest. Increased physical activity during academic instruction time during school offers a potential intervention to address both issues. A program titled "Physical Activity Across the Curriculum" (PAAC) was developed in which classroom teachers in 22 elementary schools were trained to deliver academic instruction using physical activity with a primary aim of preventing increased BMI. A secondary analysis of data assessed the impact of PAAC on academic achievement using the Weschler Individual Achievement Test-II and significant improvements were shown for reading, math and spelling in students who participated in PAAC. Based on the results from PAAC, an adequately powered trial will be conducted to assess differences in academic achievement between intervention and control schools called, "Academic Achievement and Physical Activity Across the Curriculum (A + PAAC)." METHODS/DESIGN: Seventeen elementary schools were cluster randomized to A + PAAC or control for a 3-year trial. Classroom teachers were trained to deliver academic instruction through moderate-to-vigorous physical activity with a target of 100+ minutes of A + PAAC activities per week. The primary outcome measure is academic achievement measured by the Weschler Individual Achievement Test-III, which was administered at baseline (Fall 2011) and will be repeated in the spring of each year by assessors blinded to condition. Potential mediators of any association between A + PAAC and academic achievement will be examined on the same schedule and include changes in cognitive function, cardiovascular fitness, daily physical activity, BMI, and attention-to-task. An extensive process analysis will be conducted to document the fidelity of the intervention. School and student recruitment/randomization, teacher training, and baseline testing for A + PAAC have been completed. Nine schools were randomized to the intervention and 8 to control. A random sample of students in each school, stratified by gender and grade (A + PAAC = 370, Control = 317), was selected for outcome assessments from those who provided parental consent/child assent. Baseline data by intervention group are presented. DISCUSSION: If successful, the A + PAAC approach could be easily and inexpensively scaled and disseminated across elementary schools to improve both educational quality and health. FUNDING SOURCE: R01- DK85317. TRIAL REGISTRATION: US NIH Clinical Trials, http://NCT01699295.

Children's physical activity and sedentary time and cardiometabolic risk factors.

OBJECTIVE: To examine the associations of moderate-to-vigorous physical activity (MVPA) and time spent sedentarily with cardiometabolic risk factors in children and adolescents. DESIGN: The data from 14 studies were pooled. This summary is of the associations between baseline activity levels and cardiometabolic risk factors measured in the cohort that was followed for a mean 2.1 years. SETTING: The data were drawn from studies (1998-2009) in Australia, Brazil, Europe, and the United States by the International Children's Accelerometry Database (ICAD) Collaborators. PARTICIPANTS: At baseline, the 20,871 participants in 14 studies were 4 to 18 years of age. Baseline and follow-up data on waist circumference were available for 6413 participants from 7 studies. ASSESSMENT OF RISK FACTORS: The children's time spent in activity and time spent sedentarily were objectively measured through the use of accelerometers (actigraphs) from which physical activity counts per minute (cpm) could be obtained in a standard way. Sedentary time was defined as all minutes showing <100 cpm, whereas MVPA time was minutes with >3000 cpm. Anthropometric and cardiometabolic measures were initially recorded at baseline. MAIN OUTCOME MEASURES: The main end points were the cardiometabolic outcomes of abdominal adiposity (waist circumference), glucose metabolism and lipid metabolism (fasting insulin, triglycerides, and HDL cholesterol), and resting systolic blood pressure (SBP). In each study the relations between cpm, MVPA, and sedentary time were adjusted for each other. Regression coefficients were calculated to allow cross-sectional random effects meta-analysis adjusted for sex, age, and monitor-wear time, and further adjusted in the prospective study by baseline values and follow-up time. MAIN RESULTS: At a median of 2.1 years of follow-up (range, 0.3-8.0 years), time spent in MVPA at baseline was not associated with waist circumference (ß = 0.00024; 95% confidence interval [CI] -0.0057 to 0.0062). Similarly, baseline sedentary time was not associated with follow-up waist circumference (ß = -0.0024; 95% CI, -0.0057 to 0.0010). A greater waist circumference at baseline was not associated with time spent in MVPA at follow-up (ß = -0.0037; 95% CI, -0.60 to 0.052), but was associated with more sedentary time at follow-up (ß = 0.40; 95% CI, 0.19-0.61). At baseline, total physical activity cpm and MVPA were negatively associated with baseline waist circumference, SBP, and serum levels of fasting insulin and triglycerides. Baseline time per day in sedentary activity was positively associated with fasting insulin level but not with any other cardiometabolic risk factor. CONCLUSIONS: Although children's level of physical activity and time spent sedentarily were cross-sectionally related to some baseline cardiometabolic risk factors, they did not predict waist circumference measured at follow-up. However, waist circumference at baseline did predict more sedentary time at follow-up.

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.

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.

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.

External Ear Diseases: A Comprehensive Review of the Pathologies With Neuroradiological Considerations.

The peripheral auditory system is subdivided into 3 compartments: the external, middle, and inner ear. Historically, the middle and inner ear have garnered more attention in the imaging literature, due to their intricate anatomy and complexity of pathologies. The external ear, however, has attained less recognition given its relatively straightforward anatomy and convenience of direct visual examination. The continued advancement in computed tomography and magnetic resonance imaging has expanded the role of radiology in the evaluation of the external ear lesions. The purpose of this article is to offer a comprehensive review of external ear pathologies, including congenital, inflammatory, infectious, traumatic, neoplastic, and rare disease entities and their imaging findings.

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.