When stroke strikes. Minimizing impact and maximizing recovery.
Explore the source record for details and available documents.
Activities of Daily Living↗
Biomedical subjects
Marianne Shaughnessy
Publications and source records attributed to Marianne Shaughnessy.
Steps after stroke: capturing ambulatory recovery.
BACKGROUND AND PURPOSE: Nearly two thirds of stroke survivors have deficits impairing ambulatory recovery. Conventional mobility outcome measures such as timed walks and functional independence measure (FIM) do not quantify free-living ambulatory behavior. This study compared step activity monitoring (SAM) with established instruments to assess ambulatory recovery across the outpatient subacute stroke rehabilitation phase. METHODS: We measured FIM mobility subscale, SAM-derived daily steps, Stroke Impact Scale (SIS) mobility scores, and timed walks in 11 subjects after discharge from inpatient rehabilitation and again 3 months later. RESULTS: Significant improvement was measured in free-living step activity (mean gain 80%; P=0.001) but not with timed walks (P=0.4), FIM (P=0.08), or SIS mobility scales (P=0.3). CONCLUSIONS: Microprocessor-linked SAM is a sensitive indicator of ambulatory recovery that measures improvements not captured by other conventional outcome instruments.
Activities of Daily Living↗
Accelerometer monitoring of home- and community-based ambulatory activity after stroke.
OBJECTIVES: To investigate the utility of a novel microprocessor-linked Step Watch Activity Monitor (SAM) to quantify ambulatory activity after stroke and to evaluate the validity and reliability of conventional accelerometers to measure free-living physical activity in this population. DESIGN: Cross-sectional with repeated measures of 2 separate 48-hour recordings in 17 persons wearing an ankle-mounted SAM and Caltrac, a hip-mounted mechanical accelerometer. SETTING: Home and community. PARTICIPANTS: Seventeen subjects with chronic hemiparetic gait after stroke. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The SAM derived stride counts per day and Caltrac estimated the daily caloric expenditure of physical activity. RESULTS: SAM data revealed that stroke patients had a mean strides per day +/- standard deviation of 3035+/-1944 and demonstrated a broad range of daily activity profiles (400-6472 strides). SAM test-retest reliability was high across separate monitoring periods (r=.96, P<.001). Although Caltrac also revealed a broad range of daily activity calories (346+/-217 kcal/d; range, 83-1222 kcal/d), reliability was poor (r=.044, P=not significant) and Caltrac accounted for only 64% of the ambulatory activity quantified by the SAM. CONCLUSIONS: Microprocessor-linked accelerometer monitoring, but not conventional accelerometers, are accurate and highly reliable for quantifying ambulatory activity levels in stroke patients. These findings support the utility of personal status monitoring of ambulatory activity as an outcomes instrument and metric in programs to increase physical activity and cardiovascular health after stroke.
Activities of Daily Living↗
Microprocessor-based ambulatory activity monitoring in stroke patients.
PURPOSE: Recovery of ambulatory function after stroke is routinely assessed using standardized subject- or observer-rated instruments that do not directly measure ambulatory activities in the home-community setting. Accuracy of conventional pedometers in stroke patients is not established, limiting their application in mobility outcomes monitoring. This study investigates the accuracy and reliability of a mechanical pedometer versus microprocessor-based step activity monitoring (SAM) in gait-impaired hemiparetic stroke patients. METHODS: Accuracy and test-retest reliability of ankle-worn SAM and belt-worn pedometer were tested directly against hand tallied stride counts and cadence during a battery of timed walks in 16 chronic hemiparetic stroke patients. Patients performed replicate 1-min floor walks at self-selected and fastest comfortable paces, and two 6-min walks on separate days. RESULTS: SAM cadence and total stride counts are more accurate than pedometers during 1-min walks at self-selected (99 +/- 1 vs 87 +/- 11.3%, mean +/- SD, P < 0.01); fast pace (98 +/- 2.3% vs 85 +/- 15%, P < 0.01); and repeated 6-min walks performed on separate days (99 +/- 1% vs 89 +/- 12%, P < 0.01). Although SAM is highly reliable (r = 0.97, P < 0.0001) and accurate in all patients under every walking condition tested, the mechanical pedometer demonstrates this high level of accuracy in only half of stroke patients and has poor test-retest reliability (r = 0.64, P < 0.05). CONCLUSION: SAM, but not the conventional pedometer, provides accurate and reliable measures of cadence and total stride counts in hemiparetic stroke patients. Portable microprocessor-based gait monitoring offers potential to quantitatively measure home-community-based ambulatory activity levels in this population.
Gait↗
Testing a model of post-stroke exercise behavior.
Stroke is the leading cause of disability in older Americans, and survivors tend to be sedentary, thereby risking loss of functional gains achieved during rehabilitation and increasing cardiovascular risk. Studies of motivation to exercise in older adults suggest that self-efficacy and outcome expectations are key determinants of initiation and adherence to exercise programs. This study tested a theoretical model of physical activity in stroke survivors. A survey of exercise beliefs and patterns was sent to National Stroke Association stroke support groups. Responses from 312 stroke survivors (mean age 63 years, 57% female, 70% White) indicated that only 31% exercised four times weekly. Self-efficacy and outcome expectations for exercise, before exercise history, and physician recommendation all directly and indirectly influenced self-reported exercise behavior and accounted for 33% of the total variance in exercise behavior. Model testing supported the theory and the model fit the data. Interventions to strengthen self-efficacy and outcome expectations for exercise, along with reminders for clinicians to encourage regular exercise programs, may increase the likelihood of initiating and maintaining an exercise program, potentially improving physical function and cardiovascular fitness in this population.
Analysis of Variance↗
Stroke prevention and management in older adults.
Stroke is the third leading cause of death and a foremost cause of serious, long-term disability in the United States. As cardiovascular and metabolic disease incidence rises with age, older people are more likely to experience strokes. Age is the single most important risk factor for stroke. For each successive 10 years after age 55, the stroke rate more than doubles in both men and women. However, stroke is not an inevitable consequence of aging. By identifying and modifying risk factors in older people, nurses can partner with other providers to reduce the incidence, morbidity, and mortality associated with stroke in older adults. Control of hypertension, resolution of dyslipidemia, management of diabetes mellitus, anticoagulation for atrial fibrillation, promotion of exercise and healthy diet, and cessation of cigarette smoking are of particular importance in older adults. Recognition of stroke symptoms, access to emergency evaluation and treatments, and participation in comprehensive rehabilitation may determine stroke outcomes in aging. This article presents stroke risk factors and primary and secondary prevention in the context of aging, with special considerations in the identification and management of acute stroke, recovery, and rehabilitation for older adults who survive stroke.
Aged↗