Delivering COVID-19 Vaccine via Trusted Social Services: Program Evaluation Results from the Chicagoland CEAL Program.

To describe the reach, implementation, and sustainability of COVID-19 vaccination programs delivered by social service community organizations. Five academic institutions in the Chicagoland CEAL (Community Engagement Alliance) program partnered with 17 community organizations from September 2021-April 2022. Interviews, community organizations program implementation tracking documents, and health department vaccination data were used to conduct the evaluation. A total of 269 events were held and 5,432 COVID-19 vaccines delivered from May 2021-April 2022. Strategies that worked best included offering vaccinations in community settings with flexible and reliable hours; pairing vaccinations with ongoing social services; giving community organizations flexibility to adjust programs; offering incentives; and vaccinating staff first. These strategies and partnership structures supported vaccine uptake, community organization alignment with their missions and communities' needs, and trust. Community organizations delivering social services are local community experts and trusted messengers. Pairing social service delivery with COVID-19 vaccination built individual and community agency. Giving COs creative control over program implementation enhanced trust and vaccine delivery. When given appropriate resources and control, community organizations can quickly deliver urgently needed health services in a public health crisis.

Joint modeling the frequency and duration of accelerometer-measured physical activity from a lifestyle intervention trial.

Physical activity (PA) guidelines recommend that PA be accumulated in bouts of 10 minutes or more in duration. Recently, researchers have sought to better understand how participants in PA interventions increase their activity. Participants can increase their daily PA by increasing the number of PA bouts per day while keeping the duration of the bouts constant; they can keep the number of bouts constant but increase the duration of each bout; or participants can increase both the number of bouts and their duration. We propose a novel joint modeling framework for modeling PA bouts and their duration over time. Our joint model is comprised of two sub-models: a mixed-effects Poisson hurdle sub-model for the number of bouts per day and a mixed-effects location scale gamma regression sub-model to characterize the duration of the bouts and their variance. The model allows us to estimate how daily PA bouts and their duration vary together over the course of an intervention and by treatment condition and is specifically designed to capture the unique distributional features of bouted PA as measured by accelerometer: frequent measurements, zero-inflated bouts, and skewed bout durations. We apply our methods to the Make Better Choices study, a longitudinal lifestyle intervention trial to increase PA. We perform a simulation study to evaluate how well our model is able to estimate relationships between outcomes.

What Chicago community organizations needed to implement COVID-19 interventions: lessons learned in 2021.

Introduction: As the COVID-19 pandemic placed a spotlight on the health inequities in the United States, this study aimed to determine the local programmatic needs of community organizations (CO) delivering COVID-19 interventions across Chicago. Methods: In the summer of 2021, the Chicagoland CEAL Program interviewed 34 COs that were providing education, testing, and/or vaccinations in communities experiencing poor COVID-19 outcomes. The interviews were analyzed thematically and organized around logistical challenges and funding/resource needs. Results: The COs routinely offered testing (50%) or vaccinations (74%), with most (56%) employing some programmatic evaluation. Programs utilizing trusted-messenger systems were deemed most effective, but resource-intensive. CO specific needs clustered around sustaining effective outreach strategies, better CO coordination, wanting comprehensive trainings, improving program evaluation, and promoting services and programs. Conclusion: The COs reached populations with low-vaccine confidence using trusted messengers to overcome mistrust. However, replenishment of the resources needed to sustain such strategies should be prioritized. Leveraging the Chicagoland CEAL Program to help negotiate community organizations' interorganizational coordination, create training programs, and provide evaluation expertise are deliverable supports that may bolster COVID-19 prevention. Policy implications: Achieving health justice requires that all institutions of power participate in meaningful community engagement, help build community capacity, and infuse health equity throughout all aspects of the research and program evaluation processes.

Mobile Health Tobacco Cessation Interventions to Promote Health Equity: Current Perspectives.

Although US tobacco use trends show overall improvement, social disadvantage continues to drive significant disparities. Traditional tobacco cessation interventions and public policy initiatives have failed to equitably benefit socially-disadvantaged populations. Advancements in mobile digital technologies have created new opportunities to develop resource-efficient mobile health (mHealth) interventions that, relative to traditional approaches, have greater reach while still maintaining comparable or greater efficacy. Their potential for affordability, scalability, and efficiency gives mHealth tobacco cessation interventions potential as tools to help redress tobacco use disparities. We discuss our perspectives on the state of the science surrounding mHealth tobacco cessation interventions for use by socially-disadvantaged populations. In doing so, we outline existing models of health disparities and social determinants of health (SDOH) and discuss potential ways that mHealth interventions might be optimized to offset or address the impact of social determinants of tobacco use. Because smokers from socially-disadvantaged backgrounds face multi-level barriers that can dynamically heighten the risks of tobacco use, we discuss cutting-edge mHealth interventions that adapt dynamically based on context. We also consider complications and pitfalls that could emerge when designing, evaluating, and implementing mHealth tobacco cessation interventions for socially-disadvantaged populations. Altogether, this perspective article provides a conceptual foundation for optimizing mHealth tobacco cessation interventions for the socially-disadvantaged populations in greatest need.

The EVO study protocol for a randomized controlled evaluation trial of an optimized weight management intervention.

BACKGROUND: Obesity is a substantial public health concern; however, gold-standard behavioral treatments for obesity are costly and burdensome. Existing adaptations to the efficacious Diabetes Prevention Program (DPP) demonstrate mixed results. Our prior research applying the Multiphase Optimization Strategy (MOST) to DPP identifies a more parsimonious, less costly intervention (EVO) resulting in significant weight loss. OBJECTIVE: The aim of the remotely conducted EVO trial is to test the non-inferiority of EVO against DPP. We will conduct economic evaluations alongside the trial to estimate delivery and patient costs, cost-effectiveness, and lifetime healthcare costs of EVO as compared to DPP. Exploratory analyses will examine maintenance, moderators, and mediators of the treatment effect. STUDY DESIGN: The EVO trial will recruit nationally to randomize 524 participants with obesity. Participants will receive either EVO or DPP over a 6 month period. EVO participants will be provided online lessons, a smartphone application to self-monitor diet, physical activity, and weight, and attend 12 brief calls with a Health Promotionist. DPP participants will receive the first 6 months of the Center for Disease Control's T2D materials and attend 16 one-hour video call sessions with staff certified in DPP delivery. Weight will be measured at baseline, 3-, 6-, and 12-months. Itemized delivery cost will be collected. Staff and participants will also provide information to estimate costs for intervention-related activities. SIGNIFICANCE: The EVO trial could establish evidence supporting dissemination of a scalable, cost-effective behavioral treatment with potential to shift clinical practice guidelines, inform policy, and reduce the prevalence of obesity.

Sense2Stop: A micro-randomized trial using wearable sensors to optimize a just-in-time-adaptive stress management intervention for smoking relapse prevention.

BACKGROUND: Relapse to smoking is commonly triggered by stress, but behavioral interventions have shown only modest efficacy in preventing stress-related relapse. Continuous digital sensing to detect states of smoking risk and intervention receptivity may make it feasible to increase treatment efficacy by adapting intervention timing. OBJECTIVE: Aims are to investigate whether the delivery of a prompt to perform stress management behavior, as compared to no prompt, reduces the likelihood of (a) being stressed and (b) smoking in the subsequent two hours, and (c) whether current stress moderates these effects. STUDY DESIGN: A micro-randomized trial will be implemented with 75 adult smokers who wear Autosense chest and wrist sensors and use the mCerebrum suite of smartphone apps to report and respond to ecological momentary assessment (EMA) questions about smoking and mood for 4 days before and 10 days after a quit attempt and to access a set of stress-management apps. Sensor data will be processed on the smartphone in real time using the cStress algorithm to classify minutes as probably stressed or probably not stressed. Stressed and non-stressed minutes will be micro-randomized to deliver either a prompt to perform a stress management exercise via one of the apps or no prompt (2.5-3 stress management prompts will be delivered daily). Sensor and self-report assessments of stress and smoking will be analyzed to optimize decision rules for a just-in-time adaptive intervention (JITAI) to prevent smoking relapse. SIGNIFICANCE: Sense2Stop will be the first digital trial using wearable sensors and micro-randomization to optimize a just-in-time adaptive stress management intervention for smoking relapse prevention.

Digitally characterizing the dynamics of multiple health behavior change.

OBJECTIVE: We applied the ORBIT model to digitally define dynamic treatment pathways whereby intervention improves multiple risk behaviors. We hypothesized that effective intervention improves the frequency and consistency of targeted health behaviors and that both correlate with automaticity (habit) and self-efficacy (self-regulation). METHOD: Study 1: Via location scale mixed modeling we compared effects when hybrid mobile intervention did versus did not target each behavior in the Make Better Choices 1 (MBC1) trial (n = 204). Participants had all of four risk behaviors: low moderate-vigorous physical activity (MVPA) and fruit and vegetable consumption (FV), and high saturated fat (FAT) and sedentary leisure screen time (SED). Models estimated the mean (location), between-subjects variance, and within-subject variance (scale). RESULTS: Treatment by time interactions showed that location increased for MVPA and FV (Bs = 1.68, .61; ps < .001) and decreased for SED and FAT (Bs = -2.01, -.07; ps < .05) more when treatments targeted the behavior. Within-subject variance modeling revealed group by time interactions for scale (taus = -.19, -.75, -.17, -.11; ps < .001), indicating that all behaviors grew more consistent when targeted. METHOD: Study 2: In the MBC2 trial (n = 212) we examined correlations between location, scale, self-efficacy, and automaticity for the three targeted behaviors. RESULTS: For SED, higher scale (less consistency) but not location correlated with lower self-efficacy (r = -.22, p = .014) and automaticity (r = -.23, p = .013). For FV and MVPA, higher location, but not scale, correlated with higher self-efficacy (rs = .38, .34, ps < .001) and greater automaticity (rs = .46, .42, ps < .001). CONCLUSIONS: Location scale mixed modeling suggests that both habit and self-regulation changes probably accompany acquisition of complex diet and activity behaviors. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Predicting Persistent Disabling Low Back Pain in Veterans Affairs Primary Care Using the STarT Back Tool.

BACKGROUND: The Subgrouping for Targeted Treatment (STarT Back) is a stratified care approach to low back pain (LBP) treatment. The predictive validity of STarT Back in Veterans Affairs (VA) primary care has not been demonstrated. OBJECTIVE: To examine the validity of the STarT Back tool for predicting future persistent disabling LBP in VA primary care. DESIGN: Cohort study. SETTING: VA primary care in Washington State. PARTICIPANTS: Veterans seeking care for LBP in VA primary care clinics. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The STarT Back tool was used to classify Veterans according to their baseline risk group (low vs medium vs high). The primary study outcome, persistent disabling LBP, was defined as a Roland-Morris Disability Questionnaire (RMDQ) score ≥ 7 at 6-month follow-up. Analyses examined discrimination and calibration of the baseline STarT Back risk groups for prediction of persistent disabling LBP at 6-month follow-up. RESULTS: Of the study sample, 9% were female and 80% reported longstanding LBP (>5 year duration). Among 538 participants, the baseline STarT Back risk groups were associated with future persistent disabling LBP at 6-month follow-up. Within each baseline STarT Back risk group, the proportions with future persistent disabling LBP at 6-month follow-up were 54% (low risk), 88% (medium risk), and 97% (high risk). The baseline STarT Back risk groups had useful discrimination (area under the curve [AUC] 0.79) for predicting future persistent disabling LBP, but the proportion of Veterans with persistent disabling LBP at 6-month follow-up was substantially higher than that observed in non-VA primary care settings. CONCLUSIONS: The STarT Back risk groups had useful discrimination (AUC = 0.79) for future persistent disabling LBP, but calibration was poor, underestimating the risk of persistent disabling LBP. The STarT Back tool may require updating for use in VA primary care.

Effects of hypnosis, cognitive therapy, hypnotic cognitive therapy, and pain education in adults with chronic pain: a randomized clinical trial.

Chronic pain is a significant health problem worldwide with limited pharmacological treatment options. This study evaluated the relative efficacy of 4 treatment sessions each of 4 nonpharmacological treatments: (1) hypnotic cognitive therapy (using hypnosis to alter the meaning of pain); (2) standard cognitive therapy; (3) hypnosis focused on pain reduction, and (4) pain education. One hundred seventy-three individuals with chronic pain were randomly assigned to receive 4 sessions of 1 of the 4 treatments. Primary (pain intensity) and secondary outcome measures were administered by assessors unaware of treatment allocation at pretreatment, posttreatment, and 3-, 6-, and 12-month follow-up. Treatment effects were evaluated using analysis of variance, a generalized estimating equation approach, or a Fisher exact test, depending on the outcome domain examined. All 4 treatments were associated with medium to large effect size improvements in pain intensity that maintained up to 12 months posttreatment. Pretreatment to posttreatment improvements were observed across the 4 treatment conditions on the secondary outcomes of pain interference and depressive symptoms, with some return towards pretreatment levels at 12-month follow-up. No significant between-group differences emerged in omnibus analyses, and few statistically significant between-group differences emerged in the planned pairwise analyses, although the 2 significant effects that did emerge favored hypnotic cognitive therapy. Future research is needed to determine whether the significant differences that emerged are reliable.

Longitudinal associations between physical activity, anxiety, and depression in adults with long-term physical disabilities.

OBJECTIVE: To evaluate the longitudinal associations between self-reported physical activity and anxiety and depression symptom severity in adults with long-term physical disabilities. METHOD: A secondary analysis of data from a United States-based longitudinal survey study of community-dwelling adults with 1 of 4 potential long-term physical disabilities (multiple sclerosis, muscular dystrophy, spinal cord injury, postpoliomyelitis syndrome). The first time point (T1) for the current study was completed by 1,594 participants. The second survey (T2) was sent 1 year later, and the third (T3) was sent 3 years later; each were completed by 1,380 and 1,218 participants, respectively. At each time point, participants completed a measure of physical activity (Godin Leisure Time Exercise Questionnaire) and Patient-Reported Outcomes Measurement System short forms evaluating depression and anxiety severity. RESULTS: Mixed growth curve models showed greater quantities of physical activity were associated with decreases in both depression (χ2(2) = 84.01, p < .001) and anxiety (χ2(2) = 21.66, p < .001) symptom severity over the 4-year period. However, while greater quantities of moderate (anxiety z = -2.24, p < .05; depression z = -5.48, p < .001) and strenuous (anxiety z = -2.59, p < .05; depression z = -3.90, p < .001) physical activity were significantly associated with decreases in negative affect, mild physical activity was not. CONCLUSION: The current study provides evidence that physical activity is longitudinally associated with anxious and depressive symptoms in adults with long-term physical disabilities. Future research should examine the quantities and intensities of physical activity necessary to impart psychological benefits. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Resilience and Function in Adults With Chronic Physical Disabilities: A Cross-Lagged Panel Design.

BACKGROUND: Resilience is a psychological construct referring to one's positive adaptation in response to adversity. Evidence suggests that resilience may contribute to various function domains in adults with chronic physical disabilities. PURPOSE: To test hypothesized temporal associations between resilience and four function domains (anxiety, depression, social role satisfaction, and physical function) in individuals with chronic physical disabilities. METHODS: Participants were 1,574 adults with one of four chronic physical disabilities (spinal cord injury, muscular dystrophy, multiple sclerosis, or postpolio myelitis syndrome) who were participating in a large, ongoing USA-based longitudinal survey study. Three surveys were mailed on an approximately yearly basis. Resilience was assessed using the Connor-Davidson Resilience Scale 10-item (CDRSC-10) and each function domain was assessed using the respective Patient Reported Outcome Measurement System (PROMIS) short-form. RESULTS: Cross-lagged path models evidenced statistically significant reciprocal relationships between resilience and each function domain except physical function. The standardized lagged coefficients corresponding to resilience predicting social role satisfaction (T1-T2 = 0.09, T2-T3 = 0.09) had similar effect sizes as those corresponding to social role satisfaction predicting resilience (T1-T2 = 0.11, T2-T3 = 0.04), although resilience was a slightly stronger predictor in the second lag. In models assessing psychological function, resilience was a stronger predictor of later psychological function (resilience-to-anxiety, T1-T2 = -0.15, T2-T3 = -0.11; resilience-to-depression, T1-T2 = -0.21, T2-T3 = -0.13) than the inverse (anxiety-to-resilience, T1-T2 = -0.11, T2-T3 = -0.06; depression-to-resilience, T1-T2 = -0.12, T2-T3 = -0.05). CONCLUSIONS: The study findings suggest that resilience is a significant prospective predictor of psychological and social function over time in individuals with chronic physical disabilities.

Secondary health conditions and social role satisfaction in adults with long-term physical disability.

OBJECTIVE: Individuals living with physical disability due to early acquired or traumatic conditions often experience a range of psychological and physical health problems that are associated with their condition but are not directly caused by it. Known as "secondary health conditions," these problems can interact with existing functional limitations and other medical comorbidities to limit social participation. The current study assessed the concurrent and longitudinal associations between secondary health conditions, chronic medical comorbidities, and functional limitations, with a PROMIS® measure of social role participation. METHODS: A longitudinal survey study of community-dwelling adults with one of four chronic physical conditions (multiple sclerosis, muscular dystrophy, spinal cord injury, postpoliomyelitis syndrome). The baseline survey (T1) was mailed to 2041 individuals, and1862 baseline surveys were completed and returned (91% response rate). The follow-up survey (T2) was mailed roughly three years later; 1594 completed and returned the T2 survey (86% of T1 survey completers). RESULTS: Multiple linear regression analyses revealed that secondary health conditions, functional impairments, and chronic medical comorbidities accounted for 52% of the variance in satisfaction with social roles concurrently at T1. The amount of variance of change in satisfaction with social roles over the ∼3-year period accounted for by these variables was 3%. Functional limitations and more psychologically oriented secondary conditions were the strongest predictors of satisfaction with social roles. CONCLUSIONS: Findings suggest that, for people with disabilities, addressing psychologically oriented secondary health conditions may be as important as functional impairment in predicting long-term social health. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Anxiety, depression, and function in individuals with chronic physical conditions: A longitudinal analysis.

OBJECTIVE: This longitudinal study examined the unique relationship between anxiety, symptoms (pain intensity, sleep disturbance, fatigue severity), and function domains (self-reported cognitive function, physical function, satisfaction with social roles) in individuals with chronic physical conditions, independent of depressive symptoms. METHOD: Three surveys were mailed on an approximately yearly basis to community-dwelling adults with one of four chronic physical conditions (spinal cord injury, multiple sclerosis, muscular dystrophy, postpoliomyelitis syndrome). The first survey was completed by 1594 individuals (T1). Of these, 1380 completed the second survey (T2), and 1272 completed the third survey (T3). RESULTS: Mixed growth curve models evidenced significant concurrent and longitudinal associations between anxiety and each symptom and function domain, independent of depression severity. The largest unique association found was between anxiety and self-reported cognitive function; inclusion of the measure of anxiety in the model improved model fit substantially over depression alone, χ²[2] = 104.40, p < .001. Both anxiety and depression exhibited similar effect sizes in their unique relationships with each symptom and function domain measure. However, depression was more strongly associated with satisfaction with social roles and physical function than was anxiety. CONCLUSIONS: The findings showed that anxiety assessed at one point in time demonstrated significant and unique associations with concurrent and subsequent symptom and function domains. Given that anxiety has been inadequately studied (and perhaps evaluated and treated) in rehabilitation populations, the current findings suggest that researchers and clinicians should broaden their scope when assessing and treating psychological distress to incorporate anxiety and related disorders. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

USE OF NEUROFEEDBACK AND MINDFULNESS TO ENHANCE RESPONSE TO HYPNOSIS TREATMENT IN INDIVIDUALS WITH MULTIPLE SCLEROSIS: Results From a Pilot Randomized Clinical Trial.

This pilot study evaluated the possibility that 2 interventions hypothesized to increase slower brain oscillations (e.g., theta) may enhance the efficacy of hypnosis treatment, given evidence that hypnotic responding is associated with slower brain oscillations. Thirty-two individuals with multiple sclerosis and chronic pain, fatigue, or both, were randomly assigned to 1 of 2 interventions thought to increase slow wave activity (mindfulness meditation or neurofeedback training) or no enhancing intervention, and then given 5 sessions of self-hypnosis training targeting their presenting symptoms. The findings supported the potential for both neurofeedback and mindfulness to enhance response to hypnosis treatment. Research using larger sample sizes to determine the generalizability of these findings is warranted.

Resilience and Function in Adults With Physical Disabilities: An Observational Study.

OBJECTIVES: To determine if resilience is uniquely associated with functional outcomes (satisfaction with social roles, physical functioning, and quality of life) in individuals with physical disabilities, after controlling for measures of psychological health (depression and anxiety) and symptom severity (pain, fatigue, and sleep disturbance); and to examine the potential moderating effect of sex, age, and diagnosis on the hypothesized associations between resilience and function. DESIGN: Cross-sectional survey study. SETTING: Surveys were mailed (81% response rate) to a community sample of 1949 individuals with multiple sclerosis, muscular dystrophy, postpoliomyelitis syndrome, or spinal cord injury. Participants were recruited through the Internet or print advertisement (28%), a registry of previous research participants who indicated interest in future studies (21%), a departmental registry of individuals interested in research (19%), disability-specific registries (18%), word of mouth (10%), or other sources (3%). PARTICIPANTS: Convenience sample of community-dwelling adults aging with physical disabilities (N=1574), with a mean Connor-Davidson Resilience Scale (10 items) score of 29. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Patient-Reported Outcomes Measurement Information System measures of Satisfaction with Social Roles and Activities and Physical Functioning, the World Health Organization's brief Older People's Quality of Life Questionnaire, and the Connor-Davidson Resilience Scale (10 items). RESULTS: After controlling for age, age squared, sex, diagnosis, psychological health, and symptom severity, resilience was significantly and positively associated with satisfaction with social roles (ß=.17, P<.001) and quality of life (ß=.39, P<.001), but not physical function (ß=.04, P>.05). For every 1-point increase in scores of resilience, there was an increase of .50 in the quality of life score and .20 in the satisfaction with social roles score. Sex also moderated the association between resilience and satisfaction with social roles (F1,1453=4.09, P=.043). CONCLUSIONS: The findings extend past research, providing further evidence indicating that resilience plays a unique role in nonphysical functional outcomes among individuals with physical disabilities.

Changes in Resilience Predict Function in Adults With Physical Disabilities: A Longitudinal Study.

OBJECTIVES: (1) To determine if resilience exhibits similar stability across time as depression, fatigue, and sleep quality; and (2) to determine if changes in resilience over a period of 1 year are associated with changes in depression, fatigue, sleep quality, and physical function over the same time period. DESIGN: Observational longitudinal survey study with measures administered 2 times, 1 year apart. SETTING: Community-based population sample. PARTICIPANTS: Adults with physical disabilities (N=893). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Primary outcomes were measures of resilience (Connor-Davidson Resilience Scale), depression (Patient Health Questionnaire-9), fatigue (Patient-Reported Outcomes Measurement Information System [PROMIS] Fatigue Short Form), sleep quality (PROMIS Sleep Disturbance), and physical function (8-item PROMIS Physical Functioning). RESULTS: Resilience (r=.71, P<.001) exhibited similar stability over 1 year to depression (r=.71, P<.001), fatigue (r=.79, P<.001), and sleep quality (r=.68, P<.001). A decrease in resilience was associated with an increase in depression (F1,885=70.23; P<.001; R2=.54) and fatigue (F1,885=25.66; P<.001; R2=.64), and an increase in resilience was associated with improved sleep quality (F1,885=30.76; P<.001; R2=.48) and physical function (F1,885=16.90; P<.001; R2=.86) over a period of 1 year, while controlling for age, sex, and diagnosis. CONCLUSIONS: Resilience exhibits similar test-retest stability as other important domains that are often treatment targets. Changes in resilience were associated with changes in depression, fatigue, sleep quality, and physical functioning over the course of 1 year. Further longitudinal and experimental research is warranted to investigate the potential causal effect of changes in resilience on quality of life in individuals with physical disabilities.

Relative Importance of Baseline Pain, Fatigue, Sleep, and Physical Activity: Predicting Change in Depression in Adults With Multiple Sclerosis.

OBJECTIVE: To determine whether baseline levels of pain, fatigue, sleep disturbance, and physical activity measured at the initial assessment predicted the development of or improvement of depression 3.5 years later, while controlling for sex, age, and disease severity. DESIGN: Observational, longitudinal survey study. SETTING: A community-based population sample. PARTICIPANTS: Adults with multiple sclerosis (MS) (N=489). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Primary outcome was classification of depression group measured using a Patient Health Questionnaire-9 cutoff score ≥10, indicating probable major depression. RESULTS: Fatigue severity (odds ratio, 1.19; 95% confidence interval, 1.12-1.26; P<.0001) and sleep disturbance (odds ratio, 1.06; 95% confidence interval, 1.02-1.10; P=.001) predicted probable major depression 3.5 years later among those not depressed at the initial assessment. An effect of age (odds ratio, .96; 95% confidence interval, .92-.99; P=.008) was found among those who developed depression, indicating that younger adults were more likely to develop depression. Pain, fatigue, sleep, and physical activity at baseline were not significantly associated with recovery from depression among those depressed at the initial assessment. CONCLUSIONS: Fatigue and sleep may contribute to the development of depression. Clinical trial research targeting these variables to determine their influence on depression is warranted.

Using ethyl glucuronide in urine to detect light and heavy drinking in alcohol dependent outpatients.

AIMS: This study investigated which ethyl glucuronide immunoassay (EtG-I) cutoff best detects heavy versus light drinking over five days in alcohol dependent outpatients. METHODS: A total of 121 adults with alcohol use disorders and co-occurring psychiatric disorders took part in an alcohol treatment study. Participants provided self-reported drinking data and urine samples three times per week for 16-weeks (total samples=2761). Agreement between low (100 ng/mL, 200 ng/mL), and moderate (500 ng/mL) EtG-I cutoffs and light (women ≤3 standard drinks, men ≤4 standard drinks) and heavy drinking (women >3, men >4 standard drinks) were calculated over one to five days. RESULTS: The 100 ng/mL cutoff detected >76% of light drinking for two days, and 66% at five days. The 100 ng/mL cutoff detected 84% (1 day) to 79% (5 days) of heavy drinking. The 200 ng/mL cutoff detected >55% of light drinking across five days and >66% of heavy drinking across five days. A 500 ng/mL cutoff identified 68% of light drinking and 78% of heavy drinking for one day, with detection of light (2-5 days <58%) and heavy drinking (2-5 days <71%) decreasing thereafter. Relative to 100 ng/mL, the 200 ng/mL and 500 ng/mL cutoffs were less likely to result in false positives. CONCLUSIONS: An EtG-I cutoff of 100 ng/mL is most likely to detect heavy drinking for up to five days and any drinking during the previous two days. Cutoffs of ≥500 ng/mL are likely to only detect heavy drinking during the previous day.