15 research outputs found
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Psychometric Properties of the Weight Loss Readiness Test in Active Duty Military Personnel Enrolled in a Weight Management Trial
IntroductionThe Weight Loss Readiness Test (WLRT) was developed to encourage consideration of factors influencing readiness to engage in weight loss. The WLRT is used clinically, most notably to assess motivation before initiating Navy weight management programs, yet little is known about its psychometric properties.Materials and methodsThis study examined the reliability, convergent and predictive validity, and factor structure of the WLRT in a sample of active duty service members enrolling in a Navy-based weight management program (N = 178, identified as female = 61%, mean age = 29.7 years, mean baseline body mass index = 33.1 kg/m2). All procedures were approved by the respective Institutional Review Boards and research committees.ResultsExploratory factor analysis revealed a 5-factor structure explaining 52% of the variance that best fit the data with low to moderate correlations between factors: (1) Motivation, (2) Exercise-Related Confidence, (3) Non-Exercise Confidence, (4) Cues, and (5) Anticipated Satisfaction. Internal reliability of subscales was acceptable to good (α = 0.755-0.903). Generally, convergent validity was found between the identified subscales and other measures of motivation, confidence, and disinhibited eating in expected directions. No relationships were found between the subscales and predictive validity outcomes (weight change, program attendance).ConclusionsResults indicate adequate structural and convergent validity in the WLRT, but that weight loss readiness, as measured by the WLRT, does not provide predictive validity regarding weight loss or attendance outcomes in this sample. Nonetheless, this measure offers clinical utility in fostering thoughtful conversations about weight loss. The WLRT uniquely focuses on long-term maintenance of behavior change and differentiates between exercise-related and non-exercise confidence. Future studies should further probe the utility of this measure in other populations and the contexts in which it is being used
Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries
Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely
Finishing the euchromatic sequence of the human genome
The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead
Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission
AbstractUnderstanding SARS-CoV-2 transmission in higher education settings is important to limit spread between students, and into at-risk populations. In this study, we sequenced 482 SARS-CoV-2 isolates from the University of Cambridge from 5 October to 6 December 2020. We perform a detailed phylogenetic comparison with 972 isolates from the surrounding community, complemented with epidemiological and contact tracing data, to determine transmission dynamics. We observe limited viral introductions into the university; the majority of student cases were linked to a single genetic cluster, likely following social gatherings at a venue outside the university. We identify considerable onward transmission associated with student accommodation and courses; this was effectively contained using local infection control measures and following a national lockdown. Transmission clusters were largely segregated within the university or the community. Our study highlights key determinants of SARS-CoV-2 transmission and effective interventions in a higher education setting that will inform public health policy during pandemics.</jats:p
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Confirmatory Factor Analysis of the Comprehensive Assessment of Acceptance and Commitment Therapy (CompACT) in Active-Duty Military Personnel.
Acceptance and Commitment Therapy (ACT) is a third-wave cognitive-behavioral treatment that targets psychological flexibility (PF), or the ability to persist in behavior consistent with values regardless of unwanted private experiences. The growing use of ACT necessitates an accurate assessment of PF. The Comprehensive Assessment of Acceptance and Commitment Therapy (CompACT) is a three-factor measure of PF (Openness to Experience, Valued Action, and Behavioral Awareness) whose psychometric properties have been examined in limited populations. The current study examined the factor structure and psychometric properties of the CompACT in U.S. military personnel who enrolled in a weight management randomized controlled trial. Military personnel who either failed or were at risk of failing the Navys physical fitness assessment or had overweight/obese body mass index (BMI; N = 178, Mage = 29.15 years; MBMI = 33.13 kg/m2; 61.8% female) completed the CompACT and other questionnaires. Confirmatory factor analysis was used to evaluate the three-factor structure of the original 23-item CompACT (CompACT-23) as well as an 18-item version identified in a Portuguese sample (CompACT-18). Internal consistency and convergent validity with measures of weight-related experiential avoidance, perceived stress, anxiety, depression, PTSD symptoms, and life satisfaction were examined. The three-factor structure of the CompACT-23 showed poor fit to the data while the fit of the CompACT-18 was acceptable, as indicated by three descriptive indices (χ2/df = 1.73, RMSEA = 0.069, SRMR = 0.074). All descriptive fit indices in addition to two comparative fit indices (AIC and BIC) indicated improved model fit over the CompACT-23. The CompACT-18 and its subscales exhibited adequate internal consistency (α = 0.768 to 0.861) and convergent validity in expected directions with measures of weight-related experiential avoidance, perceived stress, anxiety, depression, PTSD symptoms, and satisfaction with life. Results support using the refined, English language CompACT-18 as a three-factor measure of PF in populations such as U.S. military personnel who may benefit from weight management intervention. Future research should explore the content validity of the full measure and the removed items. Lost content could mean the CompACT-23 and the CompACT-18 differentially assess PF. Additional studies should examine psychometric properties in large and more diverse samples to further evaluate the appropriateness of the measure across populations. Longitudinal studies are needed to examine test-retest reliability and sensitivity to change
Latent Class Patterns of Adverse Childhood Experiences and Their Relationship to Veteran Status and Sex in the National Epidemiologic Survey of Alcohol and Related Conditions Wave III.
INTRODUCTION: Adverse childhood experiences (ACEs) are associated with poor psychosocial and health outcomes in adulthood. Veterans and females experience ACEs disproportionately. A greater understanding of this disparity may be achieved by examining the relationship between distinct ACE patterns and these demographic characteristics. Therefore, this study examined distinct ACE patterns and their association with Veteran status, sex, and other demographics in a nationally representative sample of U.S. adults to inform interventions tailored to ACE patterns experienced by specific groups. MATERIALS AND METHODS: Latent class analysis (LCA) was conducted with data from the National Epidemiologic Survey of Alcohol and Related Conditions-III, a nationally representative structured diagnostic interview conducted from 2012-2013. The target population was the noninstitutionalized adult population living in the USA. The analytic sample was 36,190 (mean age 46.5 years; 48.1% male). Of these participants, 3,111 were Veterans. Data were analyzed between September 2020 and January 2021. RESULTS: Latent class analysis revealed a four-class solution: (1) Low adversity (75.3%); (2) Primarily household dysfunction (9.0%); (3) Primarily maltreatment (10.7%); and (4) Multiple adversity types (5.1%). Compared to Low adversity, members in the other classes were more likely to be Veterans (odds ratio (OR)C2vC1 = 1.33, ORC3vC1 = 1.55, ORC4vC1 = 1.98) and female (ORC2vC1 = 1.58, ORC3vC1 = 1.22, ORC4vC1 = 1.65). While lower education and income were also related to higher adversity class membership, Veteran status and sex were the strongest predictors, even when controlling for education and income. CONCLUSIONS: Distinct and meaningful patterns of ACEs identified in this study highlight the need for routine ACE screenings in Veterans and females. As in the current study, operationalizing and clustering ACEs can inform screening measures and trauma-informed interventions in line with personalized medicine. Future work can test if classes are differentially associated with health outcomes
Deuterium retention and thermal conductivity in ion-beam displacement-damaged tungsten
Retention of plasma-implanted D is studied in W targets damaged by a Cu ion beam at up to 0.2dpa with sample temperatures between 300K and 1200K. At a D plasma ion fluence of 1024/m2 on samples damaged to 0.2dpa at 300K, the retained D retention inventory is 4.6 ×1020D/m2, about ∼5.5 times higher than in undamaged samples. The retained inventory drops to 9 ×1019D/m2 for samples damaged to 0.2dpa at 1000K, consistent with onset of vacancy annealing at a rate sufficient to overcome the elevated rate of ion beam damage; at a damage temperature of 1200K retention is nearly equal to values seen in undamaged materials. A nano-scale technique provides thermal conductivity measurements from the Cu-ion beam displacement damaged region. We find the thermal conductivity of W damaged to 0.2dpa at room temperature drops from the un-irradiated value of 182 ± 3.3W/mK to 53 ± 8W/mK
Technology-supported Acceptance and Commitment Therapy for chronic health conditions: A systematic review and meta-analysis.
Chronic health conditions (CHCs) are common and associated with functional limitations. Acceptance and commitment therapy (ACT) shows promise in improving functioning, quality of life, and distress across several CHCs. The purpose of this study was to conduct a systematic review of technology-supported ACT for CHCs and perform a meta-analysis on functioning and ACT process outcomes. Multiple databases were systematically searched for randomized controlled trials. A total of 20 unique studies with 2,430 randomized participants were included. CHCs addressed in these studies were chronic pain (k = 9), obesity/overweight (k = 4), cancer (k = 3), hearing loss (k = 1), HIV (k = 1), multiple sclerosis (k = 1), and tinnitus (k = 1). Internet and telephone were the most used technology platforms. All studies included therapist contact with considerable heterogeneity between studies. Random effects meta-analyses found medium effect sizes showing technology-supported ACT outperformed comparator groups on measures of function at post-treatment (Hedges g = -0.49; p = 0.002) and follow-up (Hedges g = -0.52; p = 0.02), as well as ACT process outcomes at post-treatment (Hedges g = 0.48; p < 0.001) and follow-up (Hedges g = 0.44; p < 0.001). Technology-supported ACT shows promise for improving function and ACT process outcomes across a range of CHCs. Recommendations are provided to optimize technology-supported ACT for CHCs. PROSPERO registration number: CRD42020200230