The case for screening for diabetes distress, depression, and anxiety.

Our goal was to determine the prevalence of anxiety and depression in a sample of U.S. military veterans with type 2 diabetes and elevated diabetes distress (DD). Cross-sectional analyses were conducted. The association between DD and anxiety and depression was assessed with logistic regression. Almost 80% of persons with elevated DD had clinically significant anxiety or depression symptoms. The odds of depression and anxiety increased with DD severity. Given the large overlap of depression and anxiety with elevated DD, we recommend providers screen for all three conditions and, if positive, connect to resources for diabetes self-management and/or clinical treatment.

Increasing access to behavioral health care: Examples of task shifting in two U.S. government health care systems.

INTRODUCTION: Addressing U.S. health disparities in behavioral health care requires innovative solutions to expand access beyond the traditional specialty behavioral health (BH) service model. One evidence-based strategy to increase access is task shifting, whereby tasks usually reserved for licensed clinicians are delegated to less specialized but uniquely capable health workers. Health care systems in the United States have been slow to adopt this approach, despite the widespread success of task shifting in other countries. However, two large government health care systems have employed unique task-shifting models for decades, integrating nonclinician health workers into BH settings: the Defense Health Agency (behavioral health technicians) and the Veterans Health Administration (peer specialists). METHOD: This conceptual article provides overviews of these successful approaches. Challenges and opportunities, and the potential for other U.S. health care systems to adopt task shifting for behavioral health care with paraprofessionals such as community health workers (CHWs), are discussed. RESULTS: CHWs and other paraprofessionals are ideally situated to increase access to behavioral health care, but barriers must be overcome. Recommendations are provided based on lessons from these federal system approaches to task shifting. DISCUSSION: Expanding task-shifting paradigms as the Defense Health Agency and Veterans Health Administration have done may be vital to reaching more people who could benefit from BH intervention and prevention strategies. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Brief Cognitive-Behavioral Therapy for Depression in Community Clinics: A Hybrid Effectiveness-Implementation Trial.

OBJECTIVE: The authors examined whether brief cognitive-behavioral therapy (bCBT) for depression, delivered by mental health providers in community-based outpatient clinics (CBOCs) of the Veterans Health Administration, improved depression outcomes and was feasible and acceptable in clinical settings. METHODS: The authors used a type-2 hybrid effectiveness-implementation, patient-randomized trial to compare bCBT with enhanced usual care. Participants (N=189) with moderate symptoms of depression (Patient Health Questionnaire-9 [PHQ-9] score ≥10) were enrolled from CBOCs in the southern United States. bCBT (N=109) consisted of three to six sessions, delivered by mental health providers (N=17) as part of routine clinic practices. Providers received comprehensive training and support to facilitate bCBT delivery. Recipients of enhanced usual care (N=80) were given educational materials and encouraged to discuss treatment options with their primary care provider. The primary effectiveness outcome was PHQ-9-assessed depression symptoms posttreatment (4 months after baseline) and at 8- and 12-month follow-ups. Implementation outcomes focused on bCBT dose received, provider fidelity, and satisfaction with bCBT training and support. RESULTS: bCBT improved depression symptoms (Cohen's d=0.55, p<0.01) relative to enhanced usual care posttreatment, and the improvement was maintained at 8- and 12-month follow-ups (p=0.004). bCBT participants received a mean±SD of 3.7±2.7 sessions (range 0-9), and 64% completed treatment (≥3 sessions). Providers delivered bCBT with fidelity and reported that bCBT training and support were feasible and effective. CONCLUSIONS: bCBT had a modest treatment footprint of approximately four sessions, was acceptable to participants and providers, was feasible for delivery in CBOCs, and produced meaningful sustained improvements in depression.

Depressive Symptoms are Associated With C-Reactive Protein in Older Adults With Obesity.

OBJECTIVES: To test the hypothesis that depressive symptoms vary with high-sensitivity C-reactive protein (hs-CRP), among older adults with obesity. METHODS: This was a cross-sectional, secondary analysis of baseline data from two related lifestyle intervention trials. The study sample comprises 148 consecutively recruited, community-dwelling older adults (age >=65 years) without severe psychiatric illness and with body mass index >=30 kg/m2. Logarithmically transformed GDS was analyzed as the dependent variable. Independent variables included log-transformed hs-CRP and covariates: sex, age, and concurrent use of antidepressant medication at baseline. An additional analysis was performed using binary conversion of the GDS scores, wherein a cutoff score of 5 was considered positive for depressive symptoms. RESULTS: Sample mean GDS score was 2.7 (SD 3.0, range 0 - 14). A significant multivariate model of GDS scores (R2 = .089, F = 3.5, P = .010) revealed log-transformed hs-CRP (P = .017) and male sex (P = .012) as associated with depressive symptoms. Supplemental analysis demonstrated associations between depressive symptoms and log-transformed hs-CRP (OR 2.17, P = .001) and between depressive symptoms and male sex (OR 3.78, P = .013). Univariate logistic regression found hs-CRP to be associated with depressive symptoms. CONCLUSIONS: In older adults with obese BMI, male sex and higher hs-CRP are associated with depression, even in a group with relatively minimal depressive symptoms. Hs-CRP may offer clinical utility as a biomarker for depression among older adults with obese BMI, even among those with non-severe psychiatric symptomatology.

The impact of veteran support and resources for diabetes (iNSPiRED) on diabetes distress: Results from a randomized, parallel-group trial.

OBJECTIVE: The primary objective of this research was to assess the impact of a novel, peer-directed intervention (iNSPiRED) on diabetes distress (DD) among veterans with type 2 diabetes and DD. Secondary objectives were to assess iNSPiRED's impact on anxiety, depression, and diabetes self-management behaviors. METHOD: A single-blinded, randomized, parallel-group trial was conducted. Participants (n = 218) were recruited through a Veterans Affairs medical center and community agencies in a major metropolitan area from September 2019 through January 2022. Certified mental health peer specialists delivered iNSPiRED, a three-month goal-setting and resource navigation intervention. Outcomes were assessed at baseline, postintervention, and month six. Multilevel random-intercept linear regression models with treatment x time interaction terms were used to assess treatment effects. RESULTS: Frequency of following a healthy eating plan was higher for iNSPiRED vs usual care at month three relative to baseline (B = 0.58; p = 0.03) after adjusting for race and socioeconomic status. No other treatment effects differed significantly from zero (ps ≥ 0.05). CONCLUSION: Peer-directed interventions have the potential to deliver low-cost, highly scalable care. However, based on the largely negative findings of the current study, it is likely that more intense, multimodal interventions are needed to address DD.

Feasibility and Efficacy of Life Review Delivered by Virtually-Trained Family Caregivers.

BACKGROUND: Due to the high prevalence of depressive symptoms and Alzheimer's disease and related dementias in older Americans (≥65 years), we developed a six-week depression intervention, Caregiver-Provided Life Review (C-PLR) for care recipients (CRs) with early-stage dementia and mild depression. OBJECTIVE: The objective of the study was to examine the feasibility and efficacy of C-PLR delivered by virtually-trained caregivers (CGs) on CRs who live with dementia and depression in community and long-term care settings (N = 25 CG-CR dyads). METHODS: We used fidelity scores as a measure of CG's feasibility to provide C-PLR. We collected the pre- and post-measures on CRs' depression (primary outcome), life satisfaction, CGs' burden, positive aspects of caregiving, and CG-CR relationship quality (secondary outcomes) and compared them using paired t-tests. We evaluated if the effect differed by race/ethnicity, residential setting, or living alone. RESULTS: The average fidelity check-in score was 14.8±0.78 indicating high feasibility. CGs were 52 years old (mean), 88% female, 64% working, 72% college-educated, and 72% in good-excellent health. CRs were 81 years old (mean), 84% female, and 56% in poor-fair health. CRs' depression significantly improved (p < 0.001), and this effect was found in CRs who were Asian (p = 0.017), White (p = 0.040), community-dwelling (p < 0.001), lived alone (p = 0.045), or with others (p = 0.002). CONCLUSION: This study demonstrated that the C-PLR can be successfully taught to CGs virtually and is effective in reducing CR's depressive symptoms. C-PLR could be implemented more broadly to improve symptoms among CRs in community and residential settings, as well as among a diverse population of CRs.

Unmet Needs and Coping Strategies of Older Underserved Veterans During the COVID-19 Pandemic.

INTRODUCTION: The COVID-19 pandemic has had profound impacts on people with diabetes, a group with high morbidity and mortality. Factors like race, age, income, Veteran-status, and limited or interrupted resources early in the COVID-19 pandemic compounded risks for negative health outcomes. Our objective was to characterize the experiences and needs of under-resourced Veterans with type 2 diabetes during the COVID-19 pandemic. METHODS: We conducted semi-structured qualitative interviews (March through September 2021) with U.S. military Veterans with diabetes. Transcripts were analyzed using a team-based, iterative process of summarizing and coding to identify key themes. Participants included Veterans (n = 25) who were mostly men (84%), Black or African American (76%), older (mean age = 62.6), and low-income (<$20 000/year; 56%). Most participants self-reported moderate (36%) or severe (56%) diabetes-related distress. RESULTS: Shutdowns and social distancing negatively impacted Veterans' social, mental, and physical health. Veterans reported feeling increased isolation, depression, stress, and unmet mental health needs. Their physical health was also negatively affected. Despite pandemic-related challenges, Veterans adapted with new technological skills, appreciating their families, staying active, and relying on their religious faith. CONCLUSIONS: Veterans' experiences during the pandemic revealed the importance of social support and access to technology. For those without social support, peer support could protect against negative health outcomes. Emergency-preparedness efforts for vulnerable patients with type 2 diabetes should include raising awareness about and increasing access to technological resources (eg, Zoom or telehealth platforms). Findings from this study will help tailor support programs for specific populations' needs in future health crises.

The efficacy of tobacco cessation treatment for African American adults: a systematic review.

Despite proliferation of evidence-based tobacco cessation treatments, African American adults still suffer higher rates of tobacco-related diseases than White adults. Although tobacco cessation treatment is efficacious, there is a need to reassess the efficacy of tobacco cessation treatment for African American adults. Previous reviews of tobacco cessation treatment studies conducted through 2007 among African American adults highlight the limited research in this area and inconsistent findings on treatment characteristics impacting efficacy. This systematic review examined the efficacy of combined behavioral and pharmacological tobacco cessation treatment for African American adults. Database searches were used to identify studies examining tobacco cessation treatment for predominantly African American samples (>50%). Eligible studies were completed between 2007 and 2021 and (i) involved randomization comparing active combined treatment to a control comparison group and (ii) reported abstinence outcomes at 6 and/or 12 months. Ten studies met inclusion criteria. Active treatment groups typically consisted of a combination of nicotine replacement therapy and behavioral counseling. Abstinence rates for African American adults ranged from 10.0% to 34% in active treatment groups compared to 0.0%-40% in comparison control groups. Our results support the efficacy of combined treatment for tobacco cessation among African American adults. However, cessation rates for African American adults found in this review are lower than those in the general adult population (15%-88%). Additionally, our findings highlight the limited number of studies examining African American tobacco cessation rates and testing of tailored treatment for this population.

African American adults are more likely to develop disease when using tobacco products than other adults. Previous reviews of literature assessing tobacco cessation treatment have been conducted on research until 2007. Therefore, we assessed how well tobacco cessation treatments that were tested 2007­2021 work to decrease tobacco use for this population. We found that 10 studies tested tobacco cessation treatment with majority African American participants, in comparison to more standard treatment. Overall, tobacco cessation treatment that combines behavioral and pharmacological approaches decreases tobacco use for African American adults. However, quit rates among African American adults are lower than those found in the general population. Our findings indicate that very few studies have focused on African American adult tobacco cessation treatment outcomes, which has potentially contributed to health inequity.

Weight Management Treatment Representations: A Novel Use of the Common Sense Model.

We used the Common Sense Model to understand weight management treatment representations of diverse patients, conducting semistructured interviews with 24 veterans with obesity, recruited from multiple U.S. Veterans Health Administration facilities. We performed a directed content analysis to summarize representations and assess differences across demographic groups. Patients' representations were impacted by gender, socioeconomic status, and disability status, creating group differences in available treatment (e.g., disability-related limitations), negative consequences (e.g., expense), treatment timeline (e.g., men emphasized long-term lifestyle changes), and treatment models (e.g., women described medically driven models). Patients identified conventional representations aligning with medical recommendations and relating to positive consequences, long-term treatment timelines, and medically driven models. Finally, patients discussed risky representations, including undesirable attitudes related to short-term positive and negative consequences and long-term negative consequences. Applying the Common Sense Model emphasized diverse representations, influenced by patients' identities. Understanding representations may improve treatment to meet the needs of diverse preferences.

Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre- and Peri-COVID-19 Pandemic Retrospective Study.

BACKGROUND: The COVID-19 pandemic has imposed additional stress on population health that may result in a change of sleeping behavior. OBJECTIVE: In this study, we hypothesized that using natural language processing to explore social media would help with assessing the mental health conditions of people experiencing insomnia after the outbreak of COVID-19. METHODS: We designed a retrospective study that used public social media content from Twitter. We categorized insomnia-related tweets based on time, using the following two intervals: the prepandemic (January 1, 2019, to January 1, 2020) and peripandemic (January 1, 2020, to January 1, 2021) intervals. We performed a sentiment analysis by using pretrained transformers in conjunction with Dempster-Shafer theory (DST) to classify the polarity of emotions as positive, negative, and neutral. We validated the proposed pipeline on 300 annotated tweets. Additionally, we performed a temporal analysis to examine the effect of time on Twitter users' insomnia experiences, using logistic regression. RESULTS: We extracted 305,321 tweets containing the word insomnia (prepandemic tweets: n=139,561; peripandemic tweets: n=165,760). The best combination of pretrained transformers (combined via DST) yielded 84% accuracy. By using this pipeline, we found that the odds of posting negative tweets (odds ratio [OR] 1.39, 95% CI 1.37-1.41; P<.001) were higher in the peripandemic interval compared to those in the prepandemic interval. The likelihood of posting negative tweets after midnight was 21% higher than that before midnight (OR 1.21, 95% CI 1.19-1.23; P<.001). In the prepandemic interval, while the odds of posting negative tweets were 2% higher after midnight compared to those before midnight (OR 1.02, 95% CI 1.00-1.07; P=.008), they were 43% higher (OR 1.43, 95% CI 1.40-1.46; P<.001) in the peripandemic interval. CONCLUSIONS: The proposed novel sentiment analysis pipeline, which combines pretrained transformers via DST, is capable of classifying the emotions and sentiments of insomnia-related tweets. Twitter users shared more negative tweets about insomnia in the peripandemic interval than in the prepandemic interval. Future studies using a natural language processing framework could assess tweets about other types of psychological distress, habit changes, weight gain resulting from inactivity, and the effect of viral infection on sleep.

Cost-effectiveness of Tele-delivered behavioral activation by Lay counselors for homebound older adults with depression.

BACKGROUND: Low-income homebound older adults have limited access to psychosocial treatments because of their homebound state and geriatric mental health workforce shortages. Little is known about cost effectiveness of lay-counselor-delivered, videoconferenced, short-term behavioral activation on this study population. The objective of this study was to assess the cost-effectiveness of lay-counselor-delivered, videoconferenced, short-term behavioral activation (Tele-BA) compared to clinician-delivered, videoconferenced problem-solving therapy (Tele-PST) and telephone support calls (attention control; AC) for low-income homebound older adults. METHODS: We performed a cost-effectiveness analysis based on data from a recently completed, 3-group (Tele-BA, Tele-PST, and AC) randomized controlled trial with 277 participants aged 50+. We measured total costs of (1) intervention and (2) outpatient care, ED visits, and inpatient care using the Cornell Services Index. The effectiveness outcome was quality-adjusted life-years (QALY). We used EuroQol's EQ-5D-5L to assess each participant's health-related quality of life (HRQoL) at baseline and at 12, 24, and 36 weeks. The end-point measure of cost-effectiveness was the incremental cost-effectiveness ratio (ICER) of (1) Tele-BA versus AC, (2) Tele-PST versus AC, and (3) Tele-BA versus Tele-PST. RESULTS: Relative to AC, both Tele-BA and Tele-PST are cost-saving treatment options. The ICERs for both Tele-BA and Tele-PST were well below $50,000, the lower-bound threshold for cost-effectiveness. Relative to AC, both Tele-PST, Tele-BA are cost-saving treatment options (i.e. lower costs and more QALYs). CONCLUSION: Costs of tele- and lay-counselor-delivered depression treatment are modest and cost effective relative to providing telephone support. Though our results show that Tele-BA may not be cost effective relative to Tele-PST, a clinician-delivered psychotherapy, when a low bound ICER threshold of $50,000 would be used, lay counselors can fill the professional geriatric mental health workforce shortage gap and Tele-BA by lay counselors can improve homebound older adults' access to evidence-and skills-based, cost effective depression care. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02600754 (11/09/2015).

Smart-Home Concept for Remote Monitoring of Instrumental Activities of Daily Living (IADL) in Older Adults with Cognitive Impairment: A Proof of Concept and Feasibility Study.

Assessment of instrumental activities of daily living (IADL) is essential for the diagnosis and staging of dementia. However, current IADL assessments are subjective and cannot be administered remotely. We proposed a smart-home design, called IADLSys, for remote monitoring of IADL. IADLSys consists of three major components: (1) wireless physical tags (pTAG) attached to objects of interest, (2) a pendant-sensor to monitor physical activities and detect interaction with pTAGs, and (3) an interactive tablet as a gateway to transfer data to a secured cloud. Four studies, including an exploratory clinical study with five older adults with clinically confirmed cognitive impairment, who used IADLSys for 24 h/7 days, were performed to confirm IADLSys feasibility, acceptability, adherence, and validity of detecting IADLs of interest and physical activity. Exploratory tests in two cases with severe and mild cognitive impairment, respectively, revealed that a case with severe cognitive impairment either overestimated or underestimated the frequency of performed IADLs, whereas self-reporting and objective IADL were comparable for the case with mild cognitive impairment. This feasibility and acceptability study may pave the way to implement the smart-home concept to remotely monitor IADL, which in turn may assist in providing personalized support to people with cognitive impairment, while tracking the decline in both physical and cognitive function.

Associations Between Changes in Depression/Anxiety Symptoms and Fall Worry Among Community-Dwelling Older Adults.

Using the 2019 and 2020 National Health and Aging Trend Study, we examined the association between fall worry and changes in depression/anxiety symptoms among community-dwelling older adults age 70+ (N = 3333). Past-month fall worry in 2020 included any fall worry (30.9%) and activity-limiting fall worry (34.0% of those with any fall worry). Changes in depression/anxiety symptoms referred to an increase or decrease in the Patient Health Questionnaire-4 symptom categories between 2019 and 2020. Those with fall worry, compared to those without, had significantly higher rates of moderate/severe depression/anxiety symptoms in 2019 and increased depression/anxiety symptoms over time. Multivariable analysis results show that increased depression anxiety symptoms were associated with higher risks of any and activity-limiting fall worry, controlling for previous year's fall worry, fall incidents, and other health- and fall-related covariates. Older adults need to be screened for both depression/anxiety and fall worry. Effective psychosocial and behavioral interventions for both conditions are needed.

Leveraging the ExpandNet framework and operational partnerships to scale-up brief Cognitive Behavioral Therapy in VA primary care clinics.

Evidence-based psychotherapies (EBPs) are underused in health care settings. Aligning implementation of EBPs with the needs of health care leaders (i.e., operational stakeholders) can potentially accelerate their uptake into routine practice. Operational stakeholders (such as hospital leaders, clinical directors, and national program officers) can influence development and oversight of clinical programs as well as policy directives at local, regional, and national levels. Thus, engaging these stakeholders during the implementation and dissemination of EBPs is critical when targeting wider use in health care settings. This article describes how research-operations partnerships were leveraged to increase implementation of an empirically supported psychotherapy - brief Cognitive Behavioral Therapy (brief CBT) - in Veterans Health Administration (VA) primary care settings. The partnered implementation and dissemination efforts were informed by the empirically derived World Health Organization's ExpandNet framework. A steering committee was formed and included several VA operational stakeholders who helped align the brief CBT program with the implementation needs of VA primary care settings. During the first 18 months of the project, partnerships facilitated rapid implementation of brief CBT at eight VA facilities, including training of 12 providers who saw 120 patients, in addition to expanded program elements to better support sustainability (e.g., train-the-trainer procedures).

Depression/anxiety symptoms and self-reported difficulty managing medication regimen among community-dwelling older adults.

OBJECTIVE: To examine the associations between depression/anxiety severity and changes in severity and self-reported difficulty managing medications among a representative sample of community-residing US Medicare beneficiaries without a reported dementia diagnosis. METHOD: We used the 2018 and 2019 National Health and Aging Trend Study (analysis sample N = 3198, 98% age 70+). Depression/anxiety was measured with the PHQ-4, and difficulty managing medication was self-reported. Following descriptive statistics, we fit a multinomial logistic regression model to examine the associations between depression/anxiety symptoms in 2018 and changes in severity between 2018 and 2019 and self-reported level of difficulty managing medication in 2019. RESULTS: Of past-month prescription medication users in 2019, 85.2%, 10.7%, and 4.1% reported no difficulty, a little/some difficulty, and a lot of difficulty or partial/full reliance on other's help for health/functioning reasons, respectively. Both mild and moderate/severe levels of depression/anxiety in 2018 were associated with significantly higher risks of a little/some difficulty and a lot of difficulty/other's help in 2019. Compared to no change in depression/anxiety symptoms between 2018 and 2019, decreased symptoms were associated with lower risk (RRR = 0.47, 95% CI = 0.28-0.78) and increased symptoms were associated with higher risk (RRR = 1.73, 95% CI = 1.12-2.67) of a little/some difficulty managing one's medication. CONCLUSIONS: Decrease and increase in depression/anxiety are associated with decreased and increased risk, respectively, of medication self-management difficulty among community-residing older adults. Healthcare providers should more carefully assess for medication management problems in their older adults with depression and anxiety symptoms and provide individually tailored interventions for those with great difficulty self-managing medication.

Benefit-Risk Assessment of Psychotropic Drugs in Older Patients with Chronic Obstructive Pulmonary Disease.

Depression, anxiety, and other mental health disorders, including bipolar disorder and schizophrenia, occur commonly in older adults with chronic obstructive pulmonary disease (COPD), and they are often inadequately treated. We review the available evidence for benefits and risks of pharmacologic treatments (e.g. selective serotonin reuptake inhibitors [SSRIs], serotonin-noradrenaline reuptake inhibitors [SNRIs], tricyclic antidepressants [TCAs], antipsychotic drugs, and benzodiazepines) for common mental illnesses in older persons with COPD. Evidence to use both SSRIs/SNRIs and TCAs from randomized controlled trials is uncertain for treating major depression in patients with COPD. However, population-based findings indicate that they are widely used, and this valuable intervention (preferably SSRIs/SNRIs) should not be denied for selected patients after evaluating potential risks and benefits, especially patients presenting with major depression and suicidal ideation, when a collaborative-care approach is being used. Although there is some evidence for the short-term use of benzodiazepines for treating insomnia, breathlessness, and anxiety in patients with COPD, their long-term use should be closely monitored or avoided to reduce the increased rate of major adverse events. Currently, there are only limited data on the use of antipsychotic drugs for managing schizophrenia or bipolar disorder in older patients with COPD. Hence, clinicians should use extra caution when prescribing antipsychotic agents and be vigilant for symptoms of acute respiratory failure and other adverse effects. Psychotropic medications are clearly beneficial for younger, healthy persons with depression and anxiety; however, the risk-benefit calculation is not so clear for treating psychological problems, schizophrenia, and bipolar disorder in older adults with COPD, given older-adult sensitivity to medications and the mixed findings of relatively few controlled trials.

Digital Biomarkers of Cognitive Frailty: The Value of Detailed Gait Assessment Beyond Gait Speed.

BACKGROUND: Cognitive frailty (CF), defined as the simultaneous presence of cognitive impairment and physical frailty, is a clinical symptom in early-stage dementia with promise in assessing the risk of dementia. The purpose of this study was to use wearables to determine the most sensitive digital gait biomarkers to identify CF. METHODS: Of 121 older adults (age = 78.9 ± 8.2 years, body mass index = 26.6 ± 5.5 kg/m2) who were evaluated with a comprehensive neurological exam and the Fried frailty criteria, 41 participants (34%) were identified with CF and 80 participants (66%) were identified without CF. Gait performance of participants was assessed under single task (walking without cognitive distraction) and dual task (walking while counting backward from a random number) using a validated wearable platform. Participants walked at habitual speed over a distance of 10 m. A validated algorithm was used to determine steady-state walking. Gait parameters of interest include steady-state gait speed, stride length, gait cycle time, double support, and gait unsteadiness. In addition, speed and stride length were normalized by height. RESULTS: Our results suggest that compared to the group without CF, the CF group had deteriorated gait performances in both single-task and dual-task walking (Cohen's effect size d = 0.42-0.97, p < 0.050). The largest effect size was observed in normalized dual-task gait speed (d = 0.97, p < 0.001). The use of dual-task gait speed improved the area under the curve (AUC) to distinguish CF cases to 0.76 from 0.73 observed for the single-task gait speed. Adding both single-task and dual-task gait speeds did not noticeably change AUC. However, when additional gait parameters such as gait unsteadiness, stride length, and double support were included in the model, AUC was improved to 0.87. CONCLUSIONS: This study suggests that gait performances measured by wearable sensors are potential digital biomarkers of CF among older adults. Dual-task gait and other detailed gait metrics provide value for identifying CF above gait speed alone. Future studies need to examine the potential benefits of gait performances for early diagnosis of CF and/or tracking its severity over time.

Presence of PTSD is Associated with Clinical and Functional Impact in Veterans with Depression Treated in Community-Based Clinics.

Providers in non-traditional mental health settings (e.g., primary care, community medical clinics) face challenges involving patients who often present with multiple mental health conditions, but require rapid assessment and treatment. To help address this challenge, this study characterized differences in health symptom severity and mental health treatment perceptions between depressed Veterans with and without posttraumatic stress disorder (PTSD) served in community medical clinics. Relative to depressed Veterans without PTSD (N = 62), depressed Veterans with PTSD (N = 122) endorsed greater depression, suicidal ideation, anxiety, pain, and insomnia symptoms, as well as lower functioning. Veterans with depression and PTSD also reported greater mental health needs, prior utilization of mental health services, and higher perceived importance of mental health treatment. Results highlight the complexity of comorbid mental health conditions frequently seen in community medical care clinics and suggest that patients with comorbid mental health difficulties may present with a complex array of mental health symptoms.