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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.

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.

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.

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.

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.

Introduction The Subgrouping for Targeted Treatment (STarT Back) is a stratified care approach to 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 females 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 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. This article is protected by copyright. All rights reserved.

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).

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.

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 (β=.17, P P 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 (F 1,1453 =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.

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 r =.71, P r =.79, P r =.68, P 1,885 =70.23; P R 2 =.54) and fatigue (F 1,885 =25.66; P R 2 =.64), and an increase in resilience was associated with improved sleep quality (F 1,885 =30.76; P R 2 =.48) and physical function (F 1,885 =16.90; P R 2 =.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.

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).

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 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.

This randomized trial will evaluate the mechanisms of three chronic pain treatments: cognitive therapy (CT), mindfulness meditation (MM), and activation skills (AS). We will determine the extent to which late-treatment improvement in primary outcome (pain interference) is predicted by early-treatment changes in cognitive content, cognitive process, and/or activity level. The shared versus specific role of these mechanisms across the three treatments will be evaluated during treatment (Primary Aim), and immediately post-treatment to examine relapse mechanisms (Secondary Aim). We will enroll 300 individuals with chronic pain (with low back pain as a primary or secondary condition), with 240 projected to complete the study. Participants will be randomly assigned to eight, 1.5 h telehealth group sessions of CT, MM, or AS. Mechanisms and outcomes will be assessed twice daily during 2-week baseline, 4-week treatment period, and 4-week post-treatment epoch via random cue-elicited ecological momentary assessment (EMA); activity level will be monitored during these time epochs via daily monitoring with ActiGraph technology. The primary outcome will be measured by the PROMIS 5-item Pain Interference scale. Structural equation modeling (SEM) will be used to test the primary aims. This study is pre-registered on clinicaltrials.gov (Identifier: NCT03687762). This study will determine the temporal sequence of lagged mediation effects to evaluate rates of change in outcome as a function of change in mediators. The findings will provide an empirical basis for enhancing and streamlining psychosocial chronic pain interventions. Further, results will guide future efforts towards optimizing maintenance of gains to effectively reduce relapse risk.

This study investigated which ethyl glucuronide immunoassay (EtG-I) cutoff best detects heavy versus light drinking over five days in alcohol dependent outpatients.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 (women3, men4 standard drinks) were calculated over one to five days.The 100 ng/mL cutoff detected76% 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 detected55% of light drinking across five days and66% 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 days58%) and heavy drinking (2-5 days71%) decreasing thereafter. Relative to 100 ng/mL, the 200 ng/mL and 500 ng/mL cutoffs were less likely to result in false positives.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.