Introduction

The 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 methods

This 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.

Results

Exploratory 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).

Conclusions

Results 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.

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 Navy's physical fitness assessment or had overweight/obese body mass index (BMI; N = 178, M_age = 29.15 years; M_BMI = 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.

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.

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.

Adverse Childhood Experiences (ACEs) are associated with poor health yet, we know little about how distinct patterns of ACE types are associated with cardiovascular (cardiovascular (CVD)) risk factors. The current study 1) examined associations of latent ACE classes with modifiable CVD risk factors including high cholesterol, smoking, diabetes, hypertension, high triglycerides, physical inactivity, overweight/obesity, and lifetime depression; and 2) examined the impact of socioeconomic status-related (SES) factors on these relationships. Using a cross-sectional analysis of the National Epidemiologic Survey of Alcohol and Related Conditions-III (n = 36,309) data, four latent classes of ACEs were previously identified: 1) low adversity, 2) primarily household dysfunction, 3) primarily maltreatment, and 4) multiple adversity types. We examined the association of these classes with CVD risk factors in adulthood and subsequently, the same model accounting for SES-related factors. Tobacco smoking, overweight/obesity, and lifetime depression were each associated with higher odds of being in classes 2, 3, and 4 than class 1, respectively. These relationships held after adjusting for SES-related factors. Class 4 was associated with the most CVD risk factors, including high triglycerides and high cholesterol after controlling for SES-related factors. The consistent associations between tobacco smoking, overweight/obesity, and lifetime depression with each adverse ACE profile, even after controlling for SES, suggest behavioural CVD prevention programs should target these CVD risk factors simultaneously.