Measuring Community Mobility in Survivors of Stroke Using Global Positioning System Technology: A Prospective Observational Study.

BACKGROUND AND PURPOSE: Returning to community mobility is important for people recovering from a stroke, yet few studies have directly measured this construct following inpatient rehabilitation. Using global positioning system (GPS) technology, we examined community mobility of survivors of stroke (SS) over the first year after discharge and compared them to an age-matched comparison group without neurological impairment. METHODS: We conducted a prospective observational study that included SS (n = 14) and age- and location-matched comparison subjects (CS; n = 6). All participants identified target locations important to their community mobility goals and wore a GPS unit during the first, fifth and ninth weeks after discharge, or from baseline for CS, and at 26 and 52 weeks' follow up. The 6-minute walk test (SMWT), Berg balance test (BBT), Reintegration to Normal Living (RNLI), and Short Form-36 Quality of Life Survey Physical Functioning domain (SF-36-PF) were collected. Number of trips and percentage of targets visited were extracted from GPS data. RESULTS: Twelve of 14 SS completed 9 weeks, 7 completed the full year, and no CS withdrew. The SS took fewer trips and attained fewer targets compared with CS at weeks 1 and 9, but not at weeks 5, 26, and 52. All 4 clinical outcome measures were significantly correlated to trips (Spearman r for SMWT = 0.5067, BBT = 0.3841, RNLI = 0.4119, and SF-36-PF = 0.4192). DISCUSSION AND CONCLUSIONS: Directly measured community mobility in SS was decreased through 9 weeks following discharge from inpatient rehabilitation. The limited strength of bivariate correlations between clinical measures and number of trips supported the uniqueness of the community mobility construct.Video Abstract available for more insights from the authors (see Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A277).

The microbiome of an outpatient rehabilitation clinic and predictors of contamination: A pilot study.

BACKGROUND: Understanding sources of microbial contamination in outpatient rehabilitation (REHAB) clinics is important to patients and healthcare providers. PURPOSE: The purpose of this study was to characterize the microbiome of an outpatient REHAB clinic and examine relationships between clinic factors and contamination. METHODS: Forty commonly contacted surfaces in an outpatient REHAB clinic were observed for frequency of contact and swiped using environmental sample collection kits. Surfaces were categorized based on frequency of contact and cleaning and surface type. Total bacterial and fungal load was assessed using primer sets specific for the 16S rRNA and ITS genes, respectively. Bacterial samples were sequenced using the Illumina system and analyzed using Illumina-utils, Minimum Entropy Decomposition, QIIME2 (for alpha and beta diversity), LEfSe and ANCOM-BC for taxonomic differential abundance and ADONIS to test for differences in beta diversity (p<0.05). RESULTS: Porous surfaces had more bacterial DNA compared to non-porous surfaces (median non-porous = 0.0016ng/µL, 95%CI = 0.0077-0.00024ng/µL, N = 15; porous = 0.0084 ng/µL, 95%CI = 0.0046-0.019 ng/µL, N = 18. p = 0.0066,DNA. Samples clustered by type of surface with non-porous surfaces further differentiated by those contacted by hand versus foot. ADONIS two-way ANOVA showed that the interaction of porosity and contact frequency (but neither alone) had a significant effect on 16S communities (F = 1.7234, R2 = 0.0609, p = 0.032). DISCUSSION: Porosity of surfaces and the way they are contacted may play an underestimated, but important role in microbial contamination. Additional research involving a broader range of clinics is required to confirm results. Results suggest that surface and contact-specific cleaning and hygiene measures may be needed for optimal sanitization in outpatient REHAB clinics.

Monitoring community mobility with global positioning system technology after a stroke: a case study.

BACKGROUND: Stroke survivors often experience difficulty returning to activities and places they deem important to their social, leisure, and occupational aspirations. The extent to which stroke survivors return to community mobility and their ability to navigate and access locations they deem meaningful have not been objectively measured. PURPOSE: We used global positioning system technology (GPSt) to measure the community mobility of a person poststroke, and assess the relationship between GPSt measures and clinical measures of mobility. METHODS: : The participant was a 56-year-old man who sustained a right pontine stroke. At discharge from rehabilitation, his Six-Minute Walk Test distance was 73 m. He was fitted with a GPS unit and an accelerometer attached to a single belt and instructed to wear the devices at all times when out of bed. After identifying 10 locations that were important to his goals, he was monitored for 5 separate 1-week periods, on the first, fifth, and ninth weeks and at 6 and 12 months after discharge. RESULTS: During the first 10 weeks, he averaged 7.6 target visits (70%) and 26.7 trips per week. At 1 year, his Six-Minute Walk distance score was 287.5 m. Accelerometry data revealed that he remained primarily sedentary. Target visits and trips per week did not change substantially over the course of 1 year, and compliance wearing the GPS unit was variable. CONCLUSIONS: Given the limited correlation in gait speed and distance with target attainment and trips, these outcomes likely measure different constructs for this subject. GPSt may offer insights into participation for stroke survivors following rehabilitation.

Community mobility after stroke: a systematic review.

Background Stroke is the leading cause of severe disability and many survivors report long-term physical or cognitive impairments that may impact their ability to achieve community mobility (CM). PURPOSE: To determine the extent to which people with chronic stroke achieve CM compared to age-matched norms or non-neurologically impaired controls. Methods The StrokEDGE outcome measures were searched to identify validated tools that included >25% of items addressing CM. MEDLINE, CINAHL, Google Scholar, PubMed, PEDro and the Cochrane databases were searched from 2001 to 2015 with the identified outcome measures cross-referenced against search terms related to stroke and CM. INCLUSION CRITERIA: utilized a validated CM outcome measure, chronic (>3 months post) stroke survivors, and randomized controlled trial, observational or cohort study design. One reviewer screened the studies and performed data extraction and three performed quality appraisal. Fourteen studies met all inclusion criteria. Results Stroke survivors have impaired CM as demonstrated by 30-83% of normative or non-stroke subject CM scores. As time post-stroke increased, CM improved only slightly. Factors found to correlate with the CM were age, education, general well-being, emotional state, motor function and coordination, independence in activities of daily living, balance, endurance and driving status. Limitations of this review include a relatively high functioning cohort, no meta-analysis and reliance on outcome measures not specifically designed to measure CM. Conclusion Survivors of stroke may experience a significant decrease in CM compared to people without neurological injury. Rehabilitation addressing motor function, coordination, independence in activities of daily living, balance and endurance may be important for achieving higher levels of CM. Outcome measures directly addressing CM are needed.

Exercise prevents weight gain and alters the gut microbiota in a mouse model of high fat diet-induced obesity.

BACKGROUND: Diet-induced obesity (DIO) is a significant health concern which has been linked to structural and functional changes in the gut microbiota. Exercise (Ex) is effective in preventing obesity, but whether Ex alters the gut microbiota during development with high fat (HF) feeding is unknown. OBJECTIVE: Determine the effects of voluntary Ex on the gastrointestinal microbiota in LF-fed mice and in HF-DIO. METHODS: Male C57BL/6 littermates (5 weeks) were distributed equally into 4 groups: low fat (LF) sedentary (Sed) LF/Sed, LF/Ex, HF/Sed and HF/Ex. Mice were individually housed and LF/Ex and HF/Ex cages were equipped with a wheel and odometer to record Ex. Fecal samples were collected at baseline, 6 weeks and 12 weeks and used for bacterial DNA isolation. DNA was subjected both to quantitative PCR using primers specific to the 16S rRNA encoding genes for Bacteroidetes and Firmicutes and to sequencing for lower taxonomic identification using the Illumina MiSeq platform. Data were analyzed using a one or two-way ANOVA or Pearson correlation. RESULTS: HF diet resulted in significantly greater body weight and adiposity as well as decreased glucose tolerance that were prevented by voluntary Ex (p<0.05). Visualization of Unifrac distance data with principal coordinates analysis indicated clustering by both diet and Ex at week 12. Sequencing demonstrated Ex-induced changes in the percentage of major bacterial phyla at 12 weeks. A correlation between total Ex distance and the ΔCt Bacteroidetes: ΔCt Firmicutes ratio from qPCR demonstrated a significant inverse correlation (r2 = 0.35, p = 0.043). CONCLUSION: Ex induces a unique shift in the gut microbiota that is different from dietary effects. Microbiota changes may play a role in Ex prevention of HF-DIO.

Screening for heart disease in athletes by athletic trainers and sports physical therapists.

CONTEXT: Sudden cardiac death in athletes may be preventable if healthcare providers perform a thorough screening of the cardiovascular system during routine athlete evaluations. OBJECTIVE: Determine the adequacy of routine screening of athletes for heart disease by athletic trainers (ATs) and physical therapists (PTs). DESIGN, PARTICIPANTS, SETTING, AND METHODS: National Athletic Trainers Association and Sports Physical Therapy Section members were surveyed using a stratified sampling technique via e-mail and postal mail. RESULTS: ATs performed significantly higher than PTs on the composite screening score (CSS; mean of 13 items) as well as on 9 of 13 individual items. Logistic regression analysis revealed that "involvement in preparticipation screenings for sports (PPSS)" was most closely related to CSS (P < .01) and controlling for this factor in the ANOVA eliminated differences between the professions. CONCLUSIONS: Clinicians working with athletes who are not involved in PPSS may not adequately screen these patients for heart disease.