Taking Action to Promote Diversity and Inclusion: One Program's Efforts Through Pathway Opportunities, Holistic Admissions, and Curricular Changes.

AIMS: Concerted, effective, and sustainable change in healthcare education programs is a critical step towards creating more diverse, inclusive, and equitable professions. This commentary demonstrates how one entry-level physical therapist education program, through a process of reflection, prioritization, and action, is taking steps to increase diversity, equity, and inclusivity within their program. RATIONALE: This article highlights initiatives that are leveraging existing partnerships and creating new ones to reach and mentor students from diverse communities, steps taken towards a more holistic and equitable admissions process, implementation of curricular changes to intentionally discuss the social determinants of health, and engagement of faculty and students to foster personal and professional development on diversity, equity, and inclusion topics. Outcomes to track the effectiveness of the strategies being used by each initiative are shared. CONCLUSION: To create active agents of change, education programs must create a diverse and equitable space for students and guide them to become leaders who can transform society. Steps taken by an entry-level physical therapist education program to implement strategies to promote diversity, equity and inclusion can serve as a road map for other healthcare professional programs.

Beginning with the End in Mind: A Product Evaluation of Integrated Clinical Education Courses.

PURPOSE: To describe the product evaluation of a curriculum of integrated clinical education (ICE) implemented into a Doctor of Physical Therapy program. METHODS: A novel curriculum incorporating five stand-alone ICE courses was developed and evaluated using the Context, Input, Product, Process program assessment model. Primary outcomes for product evaluation included Clinical Performance Instrument (web-CPI) ratings of student performance, student self-assessment aptitude, student satisfaction, and clinical remediation counts during full-time clinical education experiences (FTCEs). RESULTS: Outcomes from the first ICE curriculum cohort (n=58) were compared to the prior two traditional curriculum cohorts (n=76). There were no differences in clinical instructors' (CI) final web-CPI assessments during terminal FTCEs. However, ICE students scored higher on initial and intermediate FTCEs and were more satisfied with the clinical education program. Student and CI final web-CPI ratings indicated ICE group's ratings aligned more closely with CI ratings. Remediation was similar between the two curricula, and the majority of CIs felt ICE students were at least as well prepared for FTCEs as students in the traditional curriculum. CONCLUSION: The outcomes of our product evaluation suggest that educational strategies such as ICE may be capable of maximizing student potential and reducing clinic and program resources during clinical education.

Simulation-Based Education in Physical Therapist Education: A Survey of Current Practice.

OBJECTIVES: The purposes of this study were to describe the current use of (1) simulation in student physical therapist professional education programs and (2) standards of best practice (SOBP) for simulation-based education (SBE) in physical therapist education. METHODS: Two surveys were created about current use of SBE in student physical therapist professional education programs in the United States. The first survey contained questions about the program, including the best contact person regarding simulation. The second survey investigated simulation use within the context of SOBP. Survey data were analyzed using descriptive statistics. RESULTS: Survey 1 was sent to the program director at all fully accredited physical therapist programs (N = 236), and 143 responses were returned (61% response rate). Survey 2 was sent to the 136 individuals identified in Survey 1, and we received 81 completed surveys (60%). Over 90% of programs reported including SBE in their curricula, with 86% providing 3 or more experiences. A median of 1 core faculty at each program reported training in SBE, but 23% reported no training. A lack of training in specific elements of the SOBP for SBE was reported by 40% to 50% of faculty. Limited use of SOBP was reported, and use of outcome measures without validation was common. CONCLUSION: Although SBE is commonly used in physical therapist education, many faculties (1) do not have training in SBE, (2) do not consistently follow the SOBP, and (3) utilize unvalidated outcome measures. Limited faculty training in SBE and inconsistent inclusion of the SOBP suggest student learning in simulation is not optimized. IMPACT: These results show that, despite increased use of simulation in physical therapist education programs, there is a dearth of faculty trained in SBE and inconsistent use of SOBP. Addressing these deficiencies could help to optimize the benefits of SBE in physical therapist education.

Simulation-Based Education in Physical Therapist Education: Perspectives From the Strategic Initiative Panel on Simulation in Physical Therapist Education.

In the summer of 2018, The American Council of Academic Physical Therapy appointed 9 individuals versed in simulation education to form the Strategic Initiative Panel on Simulation to (1) investigate the use of simulation in physical therapist education, (2) explore the role of simulation in meeting accreditation standards and curriculum elements related to clinical education and interprofessional education, and (3) describe models and best practices for the use of simulation in physical therapist education. Over the 3 years of Strategic Initiative Panel on Simulation work, the panel identified several significant gaps in simulation education and research practice. This paper clarifies the essential elements required to optimize the delivery of simulation-based education in physical therapy following best practices, frames the existing challenges to move the profession forward, and recommends specific actions needed to address the many continued questions related to the effective use of simulation-based education in physical therapist education.

Simulation-Based Education in Physical Therapist Professional Education: A Scoping Review.

OBJECTIVES: The purposes of this study were to (1) describe and summarize the use of simulation-based education (SBE) with student physical therapists in the international literature and (2) describe the application and integration of standards of best practice (SOBP) for SBE reported in published physical therapy education research. METHODS: Ovid MEDLINE, CINAHL, Web of Science, and ERIC databases were searched. The search included any published study that involved the use of SBE with student physical therapists. Because this was a scoping review, only descriptive statistics were compiled; no methodological quality assessment was performed. RESULTS: This scoping review revealed a significant increase in literature describing SBE with student physical therapists in the past 10 years. Simulation was used to address learning objectives across a variety of content areas and clinical settings. Communication skills were the most common objectives for simulation. Limited use of SOBP, published in 2016, was reported, and use of author-generated outcome measures without validation was common. CONCLUSIONS: Although there has been an increase in literature reporting the use of SBE with student physical therapists across many practice areas and settings, many articles reported limited use and integration of published SOBP and frequently utilized outcome measures that had not been validated. IMPACT: The findings show that limited use of validated outcome measures and SOBP constrain the capacity for reproducing studies, comparing findings among studies, and completing systematic reviews that could inform and optimize best practices for the use of SBE in physical therapist professional education. Further research on SBE in physical therapy would benefit from investigations that integrated and reported the use of SOBP for standardized patients, simulation design, and delivery and assessment of learning outcomes over time at multiple Kirkpatrick learning levels.

Sedentary Behavior Counseling Intervention in Aging People With Type 2 Diabetes: A Feasibility Study.

This study examined the feasibility and effect of sedentary behavior (SB) counseling on total sitting time (TST) and glycemic control in people with type 2 diabetes (T2D). Community-dwelling sedentary adults with T2D (n = 10; 8 women; age 65.6 ± 7.31) completed SB counseling (motivational interviewing-informed education about SB) aided by an activity monitor with a vibrotactile feature (activPAL3TM). The monitor was worn for 7 days, on weeks 1 and 13 (without the vibrotactile feature) and during weeks 5 and 9 (with the vibrotactile feature). Intervention feasibility was determined by study retention rates and activity monitor tolerability, and differences between pre- and post-intervention average daily TST. Paired t-test were performed. The effect size (ES) was calculated using Cohen d. All participants attended all study sessions with only 20% reporting moderate issues tolerating the activity monitor. TST time decreased from 11.8 hours ± 1.76 at baseline to 10.29 hours ± 1.84 at 3 months' assessment (P < .05) with a large ES (Cohen d = .88). HbA1c was decreased by 0.51% (P < .05) at the end of the intervention. This study found that the intervention was feasible for sedentary adults with type 2 diabetes.

Using Cognitive Behavioral Therapy for Insomnia in People with Type 2 Diabetes, Pilot RCT Part I: Sleep and Concomitant Symptom.

OBJECTIVE/BACKGROUND: The primary aim of this study was to examine the effect of Cognitive Behavioral Therapy for Insomnia (CBT-I) on the severity of insomnia in people with Type 2 diabetes (T2D) compared to a health education (HE) control group. The secondary aim was to explore the effect of CBT-I on other sleep outcomes and concomitant symptoms. PARTICIPANTS: Twenty-eight participants with T2D were randomly assigned to CBT-I (n = 14) or HE (n = 14). METHODS: Validated assessments were used at baseline and post intervention to assess sleep outcomes and concomitant symptoms. In addition, actigraph and sleep diaries were used to measure sleep parameters. Independent sample t tests and Mann-Whitney U tests were utilized to measure between-group differences in the mean change scores. RESULTS: Participants in the CBT-I group showed higher improvements in the following mean change scores compared to the HE group: insomnia symptoms (d = 1.78; p < .001), sleep quality (d = 1.53; p =.001), sleep self-efficacy (d = 1.67; p < .001). Both actigraph and sleep diary showed improvements in sleep latency and sleep efficiency in the CBT-I group as compared to the HE group. In addition, participants in the CBT-I group showed greater improvement in the mean change scores of depression symptoms (d = 1.49; p = .002) and anxiety symptoms (d = 0.88; p = .04) compared to the HE group. CONCLUSION: This study identified a clinically meaningful effect of CBT-I on sleep outcomes and concomitant symptoms in people with T2D and insomnia symptoms. Further work is needed to investigate the long-term effects of CBT-I in people with T2D and insomnia symptoms.

Test-Retest Reliability of activPAL in Measuring Sedentary Behavior and Physical Activity in People With Type 2 Diabetes.

BACKGROUND: To investigate how changes in sedentary behavior relate to health outcomes, it is important to establish the test-retest reliability of activity monitors in measuring habitual sedentary behavior in people with type 2 diabetes (T2D) as a prerequisite for interpreting this information. Thus, the authors' objective was to examine the test-retest reliability of a common activity monitor (activPAL™) in measuring sedentary behavior and physical activity in people with T2D. METHODS: Sedentary-time, standing-time, stepping-time, step-count, and sit-to-stand transitions were obtained from two 7-day assessment periods separated by at least 1 week. Test-retest reliability was determined with the intraclass correlation coefficient (ICC) to compare sedentary and activity measures between the 2 time points. RESULTS: A total of 30 participants with self-reported T2D completed the study (age 65 [6] y, 63% women, body mass index 33.3 [5] kg/m2). High test-retest reliability was found for sedentary-time (ICC = .79; 95% confidence interval [CI], .61-.89) and standing-time (ICC = .74; 95% CI, .53-.87). Very high test-retest reliability was found for stepping-time (ICC = .90; 95% CI, .81-.95), step-count (ICC = .91; 95% CI, .83-.96), and sit-to-stand transitions (ICC = .90; 95% CI, .79-.95). CONCLUSION: The activPAL™ device showed high to very high test-retest reliability in measuring all tested activity categories in people with T2D.

The effects of cognitive behavioral therapy for insomnia in people with type 2 diabetes mellitus, pilot RCT part II: diabetes health outcomes.

BACKGROUND: Previous studies have shown the negative impact of sleep disturbances, specifically insomnia symptoms, on glucose metabolism for people with type 2 diabetes (T2D). People with insomnia symptoms are at risk of poor glycemic control and suboptimal diabetes self-care behavior (DSCB). Investigating the impact of a safe and effective intervention for individuals with T2D and insomnia symptoms on diabetes' health outcomes is needed. Therefore, the aim of this exploratory study is to examine the effects of Cognitive Behavioral Therapy for Insomnia (CBT-I) on glycemic control, DSCB, and fatigue. METHODS: Twenty-eight participants with T2D and insomnia symptoms, after passing an eligibility criteria at a medical research center, were randomly assigned to CBT-I (n = 14) or Health Education (HE; n = 14). The CBT-I and HE groups received 6 weekly one-hour sessions. This Randomized Controlled Trial (RCT) used a non-inferiority framework to test the effectiveness of CBT-I. Validated assessments were administered at baseline and post-intervention to assess glycemic control, DSCB, and fatigue. A Wilcoxon signed-rank test was utilized to compare within-group changes from baseline to post-intervention. A Mann-Whitney test was utilized to measure the between-group differences. Linear regression was used to assess the association between the blood glucose level and the number of days in the CBT-I group. RESULTS: The recruitment duration was from October 2018 to May 2019. A total of 13 participants completed the interventions in each group and are included in the final analysis. No adverse events, because of being a part of this RCT, were reported. CBT-I participants showed significantly greater improvement in glycemic control, DSCB, and fatigue. There was a significant association between the number of days in the CBT-I intervention with the blood glucose level before bedtime (B = -0.56, p = .009) and after awakening in the morning (B = -0.57, p = .007). CONCLUSIONS: This study demonstrated a clinically meaningful effect of CBT-I on glycemic control in people with T2D and insomnia symptoms. Also, CBT-I positively impacted daytime functioning, including DSCB and fatigue. Future research is needed to investigate the long-term effects of CBT-I on laboratory tests of glycemic control and to understand the underlying mechanisms of any improvements. TRIAL REGISTRATION: Clinical Trials Registry ( NCT03713996 ). Retrospectively registered on 22 October 2018.

The Association of Diabetes With Knee Pain Locations, Pain While Walking, and Walking Speed: Data From the Osteoarthritis Initiative.

OBJECTIVE: Osteoarthritis (OA) and diabetes mellitus (DM) often coexist and can result in negative outcomes. DM can affect pain and walking speed in people with knee OA; however, the impact of DM on OA is understudied. The purpose of this study was to investigate the association between diabetes and knee pain locations, pain severity while walking, and walking speed in people with knee OA. METHODS: A cross-sectional analysis was used. Data from 1790 individuals from the Osteoarthritis Initiative (mean [SD] age = 69 [8.7] years) with knee pain were included and grouped into knee OA and diabetes (n = 236) or knee OA only (n = 1554). Knee pain locations were categorized as no pain, localized pain, regional pain, or diffuse pain. Knee pain during a 20-m walk test was categorized as no pain, mild, moderate, or severe knee pain. Walking speed was measured using the 20-m walk test. Multinomial and linear regression analyses were performed. RESULTS: Diabetes was associated with regional knee pain (odds ratio [OR] = 1.77; 95% CI = 1.01-3.11). Diabetes was associated only with moderate (OR = 1.78; 95% CI = 1.02-3.10) or severe (OR = 2.52; 95% CI = 1.01-6.28) pain while walking. Diabetes was associated with decreased walking speed (B = -0.064; 95% CI = -0.09 to -0.03). CONCLUSIONS: Diabetes was associated with regional knee pain but not with localized or diffuse knee pain and was associated with moderate to severe knee pain while walking and slower walking speed in people with knee OA. IMPACT: Clinicians can use a knee pain map for examining knee pain locations for people with diabetes and knee OA. Knee pain during walking and walking speed should be screened for people with knee OA and diabetes because of the influence of diabetes on these parameters in this population. LAY SUMMARY: Diabetes might be associated with specific knee pain locations, pain during activities such as walking, and reduced walking speed in people with knee OA.

Sleep Efficiency and Total Sleep Time in Individuals with Type 2 Diabetes with and without Insomnia Symptoms.

There is increasing awareness of the high prevalence of insomnia symptoms in individuals with type 2 diabetes (T2D). Past studies have established the importance of measuring sleep parameters using measures of central tendency and variability. Additionally, subjective and objective methods involve different constructs due to the discrepancies between the two approaches. Therefore, this study is aimed at comparing the averages of sleep parameters in individuals with T2D with and without insomnia symptoms and comparing the variability of sleep parameters in these individuals. This study assessed the between-group differences in the averages and variability of sleep efficiency (SE) and total sleep time (TST) of 59 participants with T2D with and without insomnia symptoms. Actigraph measurements and sleep diaries were used to assess sleep parameter averages and variabilities calculated by the coefficient of variation across 7 nights. Mann-Whitney U tests were utilized to compare group differences in the outcomes. Validated instruments were used to assess the symptoms of depression, anxiety, and pain as covariates. Objective SE was found to be statistically lower on average (85.98 ± 4.29) and highly variable (5.88 ± 2.57) for patients with T2D and insomnia symptoms than in those with T2D only (90.23 ± 6.44 and 3.82 ± 2.05, respectively). The subjective average and variability of SE were also worse in patients with T2D and insomnia symptoms, with symptoms of depression, anxiety, and pain potentially playing a role in this difference. TST did not significantly differ between the groups on averages or in variability even after controlling for age and symptoms of depression, anxiety, and pain. Future studies are needed to investigate the underlying mechanisms of worse averages and variability of SE in individuals with T2D and insomnia symptoms. Additionally, prompting the associated risk factors of insomnia symptoms in individuals with T2D might be warranted.

The Association of Diabetes with Knee Pain Severity and Distribution in People with Knee Osteoarthritis using Data from the Osteoarthritis Initiative.

Limited research has examined the association between diabetes mellitus (DM) and knee pain in people with osteoarthritis (OA). Therefore, this study aimed at examining the association between DM and knee pain severity, and to explore the association between DM and knee pain distribution (unilateral or bilateral versus no pain) in subjects with knee OA. This is a cross-sectional analysis of the baseline visit of individuals who were enrolled in the Osteoarthritis Initiative. Data of participants with knee OA were used for this analysis (n = 1319), and grouped into subjects with both knee OA and DM (n = 148) or knee OA only without DM (n = 1171). Pain severity was measured using a numeric rating scale from 0 to 10 over the past 7 and 30 days for each knee, and the more symptomatic knee with higher pain severity was chosen for analysis. DM was significantly associated with increased knee pain severity over 7 days (B 0.68; 95% CI 0.25-1.11) and over 30 days (B 0.59; 95% CI 0.17-1.01) after adjustments for all covariates, including age, gender, BMI, race, depression symptoms, composite OA score, use of pain medications, and knee injections. Multinomial regression showed that participants with knee OA and DM had 2.45 (95% CI 1.07-5.61) to 2.55 (95% CI 1.12-5.79) times higher likelihood of having unilateral and bilateral knee pain than those without DM and without knee pain. This study found that DM was associated with higher pain severity and unilateral and bilateral knee pain distribution.

Type 2 Diabetes Affects Joint Pain Severity in People with Localized Osteoarthritis: A Retrospective Study.

OBJECTIVE: To examine the association between type 2 diabetes (T2D) and pain severity in people with localized osteoarthritis (OA) and to explore the association between glycemic control, measured by hemoglobin A1c (HbA1c) level, and pain severity in people with localized OA and T2D. DESIGN: Retrospective study. SETTING: A tertiary medical center. SUBJECTS: Data from 819 patients (mean age = 65.08±9.77 years, 54.3% women) were used. METHODS: Patients were grouped to localized OA only (N = 671) and localized OA+T2D (N = 148) based on diagnosis codes. An index date was set as the first diagnosis date of localized OA and linked to pain severity, measured by numeric rating scale from 0 to 10. HbA1c values were obtained for patients with T2D within six months of the index date. Multiple linear regression was used. RESULTS: After controlling for age, gender, body mass index (BMI); diagnoses of depression, hypertension, dyslipidemia; OA locations; and medication list (+/- 90 days of the index date), T2D was significantly associated with increased pain severity (B = 1.07, 95% confidence interval [CI] = 0.25 to 1.88, P = 0.014). For patients with T2D and localized OA with available data for HbA1c (N = 87), the results showed that an increased HbA1c value was significantly associated with higher pain severity (B = 0.36, 95% CI = 0.036 to 0.67, P = 0.029) after controlling for age, gender, BMI, medications, and OA locations. CONCLUSION: T2D was associated with higher pain severity in people with localized OA, and poor glycemic control was associated with higher pain severity in people with localized OA+T2D. Clinicians should emphasize that better HbA1c control might help with pain management in people with T2D and OA.

Effect of Cognitive Behavioral Therapy for Insomnia on Insomnia Symptoms for Individuals With Type 2 Diabetes: Protocol for a Pilot Randomized Controlled Trial.

BACKGROUND: Insomnia symptoms are a common form of sleep difficulty among people with type 2 diabetes (T2D) affecting sleep quality and health outcomes. Several interventional approaches have been used to improve sleep outcomes in people with T2D. Nonpharmacological approaches, such as cognitive behavioral therapy for insomnia (CBT-I), show promising results regarding safety and sustainability of improvements, although CBT-I has not been examined in people with T2D. Promoting sleep for people with insomnia and T2D could improve insomnia severity and diabetes outcomes. OBJECTIVE: The objective of this study is to establish a protocol for a pilot randomized controlled trial (RCT) to examine the effect of 6 sessions of CBT-I on insomnia severity (primary outcome), sleep variability, and other health-related outcomes in individuals with T2D and insomnia symptoms. METHODS: This RCT will use random mixed block size randomization with stratification to assign 28 participants with T2D and insomnia symptoms to either a CBT-I group or a health education group. Outcomes including insomnia severity; sleep variability; diabetes self-care behavior (DSCB); glycemic control (A1c); glucose level; sleep quality; daytime sleepiness; and symptoms of depression, anxiety, and pain will be gathered before and after the 6-week intervention. Chi-square and independent t tests will be used to test for between-group differences at baseline. Independent t tests will be used to examine the effect of the CBT-I intervention on change score means for insomnia severity, sleep variability, DSCB, A1c, fatigue, sleep quality, daytime sleepiness, and severity of depression, anxiety, and pain. For all analyses, alpha level will be set at .05. RESULTS: This study recruitment began in February 2019 and was completed in September 2019. CONCLUSIONS: The intervention, including 6 sessions of CBT-I, will provide insight about its effect in improving insomnia symptoms, sleep variability, fatigue, and diabetes-related health outcomes in people with T2D and those with insomnia symptoms when compared with control. TRIAL REGISTRATION: ClinicalTrials.gov NCT03713996; https://clinicaltrials.gov/ct2/show/NCT03713996. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14647.

The prevalence of type 2 diabetes and associated risk factors with generalized osteoarthritis: a retrospective study using ICD codes for clinical data repository system.

OBJECTIVE: Type 2 diabetes mellitus (T2DM) has been associated with osteoarthritis (OA). T2DM may be associated with generalized OA (GOA ≥ 3 joints) rather than localized OA (LOA < 3 joints). The purpose of this study was to examine the prevalence of T2DM in people with GOA compared with LOA and to investigate the association between demographic risk factors and chronic diseases (i.e., T2DM, hypertension, dyslipidemia, neuropathy, and body mass index (BMI)) with GOA compared with LOA. METHODS: A retrospective review of data was performed, and patients with diagnostic codes for OA were selected. Identified codes included primary GOA, primary LOA, T2DM, hypertension, dyslipidemia, neuropathy, depression, anxiety, and sleep disorders. Information about BMI and medication list was obtained. Chi-square and logistic regression were performed to examine the prevalence and risk factors, respectively. RESULTS: Data from 3855 patients (mean age = 66.43 ± 11.02, 60.9% women) included patients with GOA (n = 1265) and LOA (n = 2590). The prevalence of T2DM was significantly greater among patients with GOA (25.8%) compared with those with LOA (12.0%); however, the GOA group were older. Based on age groups, T2DM was prevalent in 17.8% of GOA compared with 7.2% in LOA for younger adults (aged 45-64 years) and was prevalent in 28.8% of GOA compared with 15.7% in LOA for older adults (aged 65 years or older). The odds ratio of GOA increased in people with chronic diseases compared with those without including T2DM (odds ratio (OR) 1.37, 95% confidence interval (CI) 1.05-1.78, p = 0.02), hypertension (OR 1.99, CI 1.63-2.43, p < 0.001), and dyslipidemia (OR 3.46, CI 2.86-4.19, p < 0.001), adjusting for covariates. CONCLUSION: Higher prevalence of T2DM was found in people with GOA when compared with LOA across both age groups. T2DM, hypertension, and dyslipidemia were associated with GOA. Future research with longitudinal designs is needed to test the causality of this association.Key Points• The prevalence of type 2 diabetes in people with generalized osteoarthritis was almost double compared with localized osteoarthritis, although generalized osteoarthritis group were older.• Among people with osteoarthritis, the risk of generalized osteoarthritis is increased by 37% when people had type 2 diabetes, by 99% when people had hypertension, and by 246% when people had dyslipidemia.

Recruitment for exercise or physical activity interventions: a protocol for systematic review.

INTRODUCTION: Recruiting participants into research trials is essential for the advancement of scientific knowledge that depends on clinical research studies. For the field of exercise and physical activity, there is an added difficulty in recruiting participants because participants must be willing to participate in an intervention that requires a significant commitment of both time and physical effort. Therefore, we have planned a systematic review to analyse how methodological factors, intervention characteristics and participant demographics impact recruitment rates in specific populations. This information will help researchers improve the design and recruitment approach in future studies. METHODS AND ANALYSIS: A mixed methods systematic review will be performed on studies that implement physical activity interventions and present data on participant recruitment. We plan on searching the Pubmed, Cumulative Index to Nursing and Allied Health Literature and Online Resource for Recruitment research in Clinical Trials databases for potentially eligible articles from database inception through 10 February 2017. A standardised approach will be used to identify studies through a review of titles, abstracts and reference lists. The process for each eligible study is to determine their eligibility, extract data from eligible studies and rate each eligible study's methodological quality. Exploratory multivariate regression models will be used to determine the effects of methodological factors, intervention characteristics and participant demographics on the recruitment variables of interest. ETHICS AND DISSEMINATION: Because all of the data used in this systematic review has been published, this review does not require ethical approval. The results of this review will be disseminated through peer-reviewed publication as well as through conference presentations. PROSPERO REGISTRATION NUMBER: CRD42017057284.

Functional Reach, Depression Scores, and Number of Medications Are Associated With Number of Falls in People With Chronic Stroke.

BACKGROUND: Falls are a common adverse event among people with stroke. Previous studies investigating risk of falls after stroke have relied primarily on retrospective fall history ranging from 6-12 months recall, with inconsistent findings. OBJECTIVES: To identify factors and balance assessment tools that are associated with number of falls in individuals with chronic stroke. DESIGN: Secondary analysis of a randomized clinical trial. SETTING: Multisite academic and clinical institutions. PARTICIPANTS: Data from 181 participants with stroke (age 60.67 ± 11.77 years, post stroke 4.51 ± 4.78 years) were included. METHODS: Study participants completed baseline testing and were prospectively asked about falls. A multivariate negative binomial regression was used to identify baseline predictive factors predicting falls: age, endurance (6 minute walk test), number of medications, motor control (Fugl-Meyer lower extremity score), depression (Patient Health Questionnaire-9), physical activity (number of steps per week), and cognition (Mini Mental Status Exam score). A second negative binomial regression analysis was used to identify baseline balance assessment scores predicting falls: gait velocity (comfortable 10 Meter Walk), Berg Balance Scale (BBS), Timed Up and Go (TUG), and Functional Reach Test (FRT). Receiver operating characteristic (ROC) and area under the curve (AUC) were used to determine the cutoff scores for significant predictors of recurrent falls. MAIN OUTCOME MEASUREMENT: The number of falls during the 42-week follow-up period. RESULTS: Baseline measures that significantly predicted the number of falls included increased number of medications, higher depression scores, and decreased FRT. Cutoff scores for the number of medications were 8.5 with an AUC of 0.68. Depression scores differentiated recurrent fallers at a threshold of 2.5 scores with an AUC of 0.62. FRT differentiated recurrent fallers at a threshold of 18.15 cm with an AUC of 0.66. CONCLUSIONS: Number of medications, depression scores, and decreased FRT distance at baseline were associated with increased number of falls. Increased medications might indicate multiple comorbidities or polypharmacy effect; increased depression scores may indicate psychological status; and decreased functional reach distance could indicate dynamic balance impairments. LEVEL OF EVIDENCE: II.

Multitasking in older adults with type 2 diabetes: A cross-sectional analysis.

BACKGROUND AND PURPOSE: Deficits in the ability to multitask contribute to gait abnormalities and falls in many at-risk populations. However, it is unclear whether older adults with type 2 diabetes mellitus (DM) also demonstrate impairments in multitasking. The purpose of this study was to compare multitasking performance in cognitively intact older adults with and without DM and explore its relationship to measures of gait and functional ability. METHODS: We performed a cross-sectional analysis of 40 individuals aged 60 and older with type 2 DM and a matched group of 40 cognitively intact older adults without DM. Multitasking was examined via the ambulatory Walking and Remembering Test (WART) and seated Pursuit Rotor Test (PRT). Self-selected normal and fast walking speed and stride length variability were quantitatively measured, and self-reported functional ability was assessed via the Late Life Function and Disability Index (LLFDI). RESULTS: Participants with DM walked slower and took more steps off path when multitasking during the WART. No between-group differences in multitasking performance were observed on the PRT. Multitasking performance demonstrated little correlation with gait and functional ability in either group. DISCUSSION AND CONCLUSIONS: Older adults with DM appear to perform poorly on an ambulatory measure of multitasking. However, we analyzed a relatively small, homogenous sample of older adults with and without type 2 DM and factors such as peripheral neuropathy and the use of multiple comparisons complicate interpretation of the data. Future research should explore the interactions between multitasking and safety, fall risk, and function in this vulnerable population. Clinicians should recognize that an array of factors may contribute to gait and physical dysfunction in older adults with type 2 diabetes, and be prepared to assess and intervene appropriately.

Effectiveness of Interventions for Promoting Objectively Measured Physical Activity of Adults With Type 2 Diabetes: A Systematic Review.

BACKGROUND: Many people with type 2 diabetes (T2D) are sedentary despite strong recommendations of regular physical activity (PA). Objective measures of PA provide accurate reflection of daily PA level. The purpose of this review was to analyze studies used pedometers or accelerometers to determine the outcome of interventions promoted daily PA in people with T2D. METHODS: An electronic literature search was conducted using the PubMed and CINAHL databases (2000-2016), with search terms: sedentary, diabetes, pedometer, physical activity, and accelerometer. Only peer-reviewed, randomized clinical trials (RCTs) that used objective measurement of daily PA level were included. All studies design, participant characteristics, intervention, and key findings were evaluated systematically and summarized. RESULTS: A total of 15 RCTs were identified investigated objectively measured daily PA in people with T2D. A significant increase in PA was found following exercise consultation, behavioral/cognitive consultation, continuous glucose monitoring counseling, and motivational phone calls promoting PA. However, this increase in daily PA level was evident only during the intervention period. CONCLUSIONS: Our systematic review of the literature indicated that a variety of interventions approaches were effective in increasing PA temporarily during the intervention period. Interventions that use objective methods in measuring PA and have long term improvement in overall PA are needed.

Adults with diabetic peripheral neuropathy exhibit impairments in multitasking and other executive functions.

BACKGROUND AND PURPOSE: Diabetic peripheral neuropathy (DPN) contributes to functional impairment, and there is growing evidence that neuropsychological factors also influence physical function. We compared cognitive and executive function in adults with DPN with an age-matched comparison group, and examined the relationships between DPN, executive function, and physical function. METHODS: Twenty subjects with DPN and 20 comparison subjects were assessed. Diabetic peripheral neuropathy was quantified via the Michigan Neuropathy Screening Instrument and nerve conduction velocity testing. Subjects were administered Beck's Depression Inventory, the Mini-Mental Status Examination, and the Timed Up and Go (TUG) test. Each participant also completed a battery of 7 executive function tasks, including the Cognitive Timed Up and Go (cTUG) test, in which a concurrent mental subtraction task was added to the standard TUG test. RESULTS: The DPN group demonstrated poorer letter fluency (34.2 ± 11.6 words vs 46.2 ± 12.2 words; P = 0.001), category fluency (47.0 ± 8.1 words vs 56.3 ± 8.5 words; P = 0.003), and Rey-Osterrieth scores (25.9 ± 4.3 points vs 31.7 ± 2.4 points; P < 0.001), and took longer to complete both the TUG (10.3 ± 2.8 seconds vs 5.9 ± 1.0 seconds; P < 0.001) and cTUG (13.0 ± 5.8 seconds vs 6.9 ± 1.6 seconds; P < 0.001). Poorer global cognitive performance and greater depression symptoms were significantly related to each other (r = -0.46; P = 0.04) and to slower TUG times (r = -0.53; P = 0.02; and r = 0.54; P = 0.02, respectively). DISCUSSION AND CONCLUSIONS: Verbal, visuospatial, and multitasking measures of executive function may be impaired in adults with DPN. Future research should examine how these and other cognitive and psychological factors, such as depression, affect physical function in this population.