Physical Activity Scale For The Elderly Score Research Articles

Antiseizure Medications and Cardiovascular Events in Older People With Epilepsy

How epilepsy may promote cardiovascular disease remains poorly understood. To estimate the odds of new-onset cardiovascular events (CVEs) over 6 years in older people with vs without epilepsy, exploring how enzyme-inducing antiseizure medications (EIASMs) and traditional cardiovascular risk factors mediate these odds. This was a prospective cohort study using the comprehensive cohort of the Canadian Longitudinal Study on Aging (CLSA), with 6 years of follow-up (2015-2021, analysis performed in December 2023). The CLSA is an ongoing, national study of 51 338 adults aged 45 to 85 years at baseline who are recruited in Canada. The comprehensive cohort includes 30 097 individuals living near 1 of 11 data collection centers. Participation in the CLSA was voluntary; participation rate was 45%. Among those in the comprehensive cohort, individuals reporting no previous history of CVEs (ie, stroke, transient ischemic attack [TIA], or myocardial infarction [MI]) at baseline were excluded. No other exclusion criteria were applied. A total of 86% of participants completed follow-up. Lifetime history of epilepsy. The primary outcome was new-onset CVEs over 6 years. Secondary outcomes were new-onset strokes, TIAs, and MIs. Logistic models were fitted for these outcomes as a function of epilepsy, age, sex, household income, and education level. Mediation analyses were conducted for strong EIASM use, weak EIASM use, Framingham score, Physical Activity Scale for the Elderly (PASE) score, and waist to hip ratio. Among the 30 097 individuals in the comprehensive cohort, a total of 27 230 individuals (mean [SD] age, 62.3 [10.1] years; 14 268 female [52.4%]) were included, 431 with a lifetime history of epilepsy. New-onset CVEs were more likely in epilepsy, with an adjusted odds ratio of 2.20 (95% CI, 1.48-3.27). The proportion of the effect of epilepsy on new-onset CVEs was mediated as follows by each of the following variables: strong EIASM use, 24.6% (95% CI, 6.5%-54.6%), weak EIASM use, 4.0% (95% CI, 0.8%-11.0%), Framingham score, 1.4% (95% CI, -1.6% to 4.5%), PASE score, 3.3% (95% CI, 1.4%-6.8%), and waist to hip ratio, 1.6% (95% CI, 0.4%-3.7%). Results of this cohort study reveal that epilepsy was associated with new-onset CVEs. Nearly one-third of this association can be explained by EIASMs. These findings should be considered when choosing an antiseizure medication for a person at risk for cardiovascular disease.

High physical activity is associated with greater cortical bone size, better physical function, and with lower risk of incident fractures independently of clinical risk factors in older women from the SUPERB study.

The Physical Activity Scale for the Elderly (PASE) is a validated test to assess physical activity in older people. It has not been investigated if physical activity, according to PASE, is associated with fracture risk independently from the clinical risk factors (CRFs) in FRAX, bone mineral density (BMD), comorbidity, and if such an association is due to differences in physical performance or bone parameters. The purpose of this study was to evaluate if PASE score is associated with bone characteristics, physical function, and independently predicts incident fracture in 3014 75-80-yr-old women from the population-based cross-sectional SUPERB study. At baseline, participants answered questionnaires and underwent physical function tests, detailed bone phenotyping with DXA, and high-resolution peripheral quantitative CT. Incident fractures were X-ray verified. Cox regression models were used to assess the association between PASE score and incident fractures, with adjustments for CRFs, femoral neck (FN) BMD, and Charlson comorbidity index. Women were divided into quartiles according to PASE score. Quartile differences in bone parameters (1.56% for cortical volumetric BMD and 4.08% for cortical area, Q4 vs Q1, p = .007 and p = .022, respectively) were smaller than quartile differences in physical performance (27% shorter timed up and go test, 52% longer one leg standing time, Q4 vs Q1). During 8yr (median, range 0.20-9.9) of follow-up, 1077 women had any fracture, 806 a major osteoporotic fracture (MOF; spine, hip, forearm, humerus), and 236 a hip fracture. Women in Q4 vs. Q1 had 30% lower risk of any fracture, 32% lower risk of MOF, and 54% lower risk of hip fracture. These associations remained in fully adjusted models. In conclusion, high physical activity was associated with substantially better physical function and a lower risk of any fracture, MOF and hip fracture, independently of risk factors used in FRAX, FN BMD, and comorbidity.

Evaluation of sarcopenia and phase angle in elderly patients with Parkinson’s Disease

Purpose To investigate sarcopenia and related factors and to determine the disease-specific phase angle (PhA) cut-off score in detecting sarcopenia in elderly patients with Parkinson’s Disease (PD). Methods This cross-sectional study was conducted with 89 participants. The Mini-Nutritional Assessment (MNA), the Eating Attitude Test-10 (EAT-10), the Physical Activity Scale for The Elderly (PASE) questionnaire and the Hoehn-Yahr scale have been used. Additionally, anthropometric measurements were performed. The diagnosis of sarcopenia was based on the new consensus published by the European Working Group on Sarcopenia in Older People 2 (EWGSOP2). PhA has been performed by Bioelectrical Impedance Analysis (BIA) with Tanita MC 780®. Results The mean age was of the participants 68.9 ± 6.4 years, and 57.3% were male. The prevalence of sarcopenia was 12.3%. PhA, malnutrition, age, disease severity, low calf circumference (CC), low body mass index (BMI), the difference between the pre-diagnosis and current weight loss, dopaminergic treatment, and low PASE score were associated with sarcopenia. The cut-off value of the PhA in terms of the ability to identify sarcopenia was <4.5o with a sensitivity of 53.3% and a specificity of 93.2% (p = 0.001). When we grouped the PhA of the patients according to this cut-off score, it was seen that 14.6% of them were sarcopenic. Age, disease severity, PASE score and hand grip strength were significantly related to both sarcopenia and PhA. Conclusion It is important to be aware of sarcopenia and related factors at an early stage in Parkinson’s patients. Because of disease-related symptoms, it may be more appropriate to use a disease-specific PhA cut-off score in the definition of sarcopenia.

The role of physical function and physical activity on cognitive function in the elderly

The aim of this study is to clarify the role of physical activity level and physical function on cognitive function of the elderly. A nested case–control investigation from a middle-aged and elderly cognitive health cohort was conducted. 103 mild cognitive impairment (MCI) patients were selected for the purpose of the study and matched 1:1 according to age and sex. Handgrip strength, gait speed and 5-time chair stand test were used to evaluate physical function. The physical activity scale for the elderly (PASE) was used to assess physical activity level. The Montreal cognitive assessment (MoCA) was used to quickly screen the mild cognitive impairment of the subjects. Body composition was estimated by bioelectrical impedance analysis. The total score of MoCA and the scores of different cognitive domains in two groups were different, handgrip strength was lower in the MCI group. Multivariate logistic regression model results showed that handgrip strength decreased could increase the risk of MCI(OR = 3.008, 95%CI: 1.421,6.369), higher PASE score was correlated with lower risk of MCI (OR = 0.402, 95%CI: 0.168,0.966). After combining body composition indices, handgrip strength and PASE score remained significantly associated with the occurrence of MCI, and there is an interaction. Logistic regression models were used for receiver operating characteristic curve analysis, all models demonstrate a good level of predictive performance for MCI. Physical activity level and physical function are associated with mild cognitive impairment. Higher physical activity level, normal handgrip strength are correlated with lower risk of MCI.

The impact of social support, physical and psychological performance on sleep outcomes in Iranian older adults: a case-control study

BackgroundSleep quality is one of the most important factors to improve the quality of life in older adults and physical and mental health plays an essential role in better sleep quality. This study aimed to determine the impact of social support, and physical and psychological performance on sleep outcomes in Iranian older adults.MethodsIn this case-control study, 400 elder people, who were exposed to sleep problems, and 400 people without sleep problems were randomly selected during 2016–2017 in Amirkola, Iran. Subjects in the case and control groups were matched in terms of gender and age. The demographic characteristics, Duke Social Support Questionnaire (DSSI), Physical Activity Scale for the Elderly (PASE), Activity of Daily Living (ADL), Instrumental Activity of Daily Living (IADL), Mini-Mental State Examination (MMSE), and Pittsburgh Sleep Quality Questionnaire (PSQI) questionnaires were used to collect data. T-test, Chi-square, Pearson Correlation coefficient, and multiple Logistic regression were used for data analysis.ResultsThe mean score of DSSI and its domains including social interaction (DSSI.Int) and social satisfaction (DSSI.Sat) were 28.15 ± 3.55, 9.31 ± 1.23, and 18.84 ± 2.88 in the case group and 28.87 ± 3.20, 9.48 ± 1.10, and 19.83 ± 2.44 in the control group, respectively. In this study, the mean scores of MMSE, PASE, ADL, and IADL were 25.36 ± 3.95, 101.71 ± 56.99, 13/97 ± 0.37, 20.59 ± 2/79; respectively. There was a significant inverse correlation between poor sleep quality with DSSI score (rho = -0.165, P < 0.0001), DSSI.Int (rho = -0.113, P < 0.001), DSSI.Sat (rho = -0.160, P < 0.0001), PASE (rho=-0.160, P < 0.0001), and IADL (rho = -0.112, P < 0.001) score. Therefore, more social support and physical activity improved the quality of sleep. There was a significant negative relationship between DSSI, and its domains with sleep quality in terms of gender. DSSI (rho = 0.25, P < 0.0001), DSSI.Int (P < 0.0001, rho=-0.18), and DSSI.Sat (P < 0.0001, rho=-0.22) was significant in men but not in women. The results of the adjusted logistic regression revealed a significant association between sleep quality problems and DSSI (p < 0.045, OR = 1.40), the use of hypnotic drugs (p < 0.0001, OR = 7.56), and occupation (p <0.03, OR= 12.66).ConclusionsThe results of the present study suggest that low social support and all its domains, PASE, IADL, and using hypnotic drugs may play a role in the development of sleep problems. It can be used as an effective, safe, and low-cost strategy for promoting sleep quality in older adults.

Hyponatremia, hypernatremia and impairment of functional, psychological and sexual domains

ObjectiveTo determine the influence of serum sodium on physical, psychologic and sexual function.MethodsThis is a cross-sectional survey on 3340 community-dwelling men aged 40–79 years from a prospective cohort study in eight European countries, the European Male Ageing Study (EMAS). Participants filled-out the Short Form-36 (SF-36), the Physical Activity Scale for the Elderly (PASE), and the EMAS sexual function questionnaire. For all the analyses, serum sodium corrected for glycaemia ([Na+]G) was used.ResultsThe relationship between [Na+]G and SF-36 physical function score (F = 3.99; p = 0.01), SF-36 mental health score (F = 7.69; p < 0.001), and PASE score (F = 14.95; p < 0.001) were best described by a quadratic equation, with worse scores for [Na+]G in either the lowest or the highest ends of the range. After dividing the sample into [Na+]G < 136 mmol/L (n = 81), 136–147 mmol/L (n = 3223) and > 147 mmol/L (n = 36), linear regression analyses with linear spline functions adjusted for confounders did not confirm these relationships. Similarly, erectile dysfunction and [Na+]G, were in a quadratic relationship (F = 9.00; p < 0.001). After adjusting for confounders, the linear regression with spline functions denoted a significantly worsened erectile function for increases in serum [Na+]G > 147 mmol/L (B = 0.15 [0.04;0.26], p < 0.01) but no relationship with [Na+]G < 136 mmol/L. Likewise, the relationship of [Na+]G with concerns about sexual dysfunction was confirmed only for men with serum [Na+]G > 147 mmol/L.ConclusionsThis is the first study supporting an association between [Na+]G and sexual function. A worsening of erection and concerns about sexual function were observed for the highest values of [Na+]G, independently of other relevant factors.

Sleep Quality and Associated Factors Among Older Adults in Tabriz, Iran: Tabriz Older People Health Survey (TOPS-2019)

Objectives: The study aimed to investigate the sleep quality of aged people in Tabriz and identify its associated factors. Design: Cross-sectional study. Setting(s): Tabriz, the capital of the East Azerbaijan province in northwest Iran. Participants: A total of 1362 participants were selected from a representative sample of community-dwelling older people aged≥60 years who were living in Tabriz, using the probability proportional to size (PPS) sampling method. Outcome measures: Blood pressure (BP), sleep quality, depression, anxiety, loneliness, physical activity, daily activities, living independently, and social support were assessed using a standard mercury sphygmomanometer, Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), the 6-item De Jong Gierveld Loneliness Scale, Physical Activity Scale for the Elderly (PASE), Activity of Daily Living (ADL), Instrumental Activity of Daily Living (IADL), respectively. Results: The mean score of total PSQI was 5.39±2.91. The multivariable logistic regression model showed that being female (Odds ratio [OR]=1.68, 95% confidence interval [CI]=1.29 to 2.18), hypertensive (OR=2.12, 95% CI=1.52 to 2.95), diabetes mellitus (DM) (OR=1.29, 95% CI=0.96 to 1.72), abnormal anxiety level (OR=2.38, 95% CI=1.67 to 3.38), and low PASE score (OR=0.99, 95% CI=0.99 to 1) were significantly associated with a higher risk of poor sleep quality. Conclusions: Low physical activity is a modifiable risk factor for low sleep quality in older adults. Hence, the development of physical activity programs can be effective in improving sleep quality. Furthermore, women are the priority in designing interventions.

Physical Activity Intervention for Leisure-Time Activity Levels Among Older Adults

Current randomized trial evidence of the effects of physical activity interventions in older adults is mainly from developed countries, with little reliable evidence from low- and middle-income countries, such as China, where race, culture, and lifestyles differ substantially from those in Western populations. To evaluate the effects of a multilevel intervention for increasing leisure-time activity levels in Chinese older adults. This cluster randomized trial was conducted from May 2021 to May 2023, including an 8-week intervention period and a follow-up period of 24 months. Eight villages in China were randomly assigned to the intervention (4 villages) or the control (4 villages) group. Potentially eligible participants were 60 years or older. A total of 511 older adults from the selected 8 villages were enrolled. The intervention group received an 8-week socioecological model-based intervention, comprising individual, interpersonal, and community-level components, whereas the control group did not. The primary outcome was the change in leisure-time activity at 8 weeks, measured by the Physical Activity Scale for the Elderly (PASE). Possible PASE scores for leisure-time activity range from 0 to 502, with higher scores indicating higher activity levels. A total of 511 older adults from 8 villages were recruited and randomly allocated to the intervention (240 participants, 4 villages) or control (271 participants, 4 villages) groups. The mean (SD) age was 70.95 (5.72) years, and 284 (55.6%) were female participants. Seven serious adverse events (unrelated deaths) were reported. Participants in the intervention group increased leisure-time activity more than those in the control group, with a mean difference in PASE scores of 13.74 points (95% CI, 8.58-18.91 points) between the groups at 8 weeks (P < .001). Significant differences in leisure-time activity were also found over 24 months (mean difference in scores at 4 weeks, 11.66 points; 95% CI, 6.41-16.90 points; P < .001; at 6 months, 12.35 points; 95% CI, 7.19-17.50 points; P < .001; at 12 months, 11.55 points; 95% CI, 6.32-16.78 points; P < .001; and at 24 months, 14.51 points; 95% CI, 9.28-19.75 points; P < .001). In this cluster randomized trial, the multilevel intervention was effective in promoting leisure-time activity over 24 months of follow-up in older adults from China. This finding suggests that implementation of such interventions could be an important step in addressing physical inactivity in older adults in low- and middle-income countries. Chinese Clinical Trial Registry Identifier: ChiCTR2100045653.

Evaluation of the correlation between depression and physical activity among older persons with osteoporosis: a cross-sectional study.

Osteoporosis is a common chronic disease in older persons. Physical activity can prevent chronic diseases as well as many diseases associated with aging. Older persons often suffer from depression and other psychological problems. However, there are few studies on the correlation between depression and physical activity in older persons with osteoporosis in China. This cross-sectional study was conducted from June 1 to December 28, 2021. A total of 207 subjects who met the inclusion and were exclusion criteria were selected from the outpatient department of West China Hospital and evaluated using a self-designed demographic data questionnaire, the Self-rating Depression Scale (SDS), and the Physical Activity Scale for the Elderly (PASE). Multivariate linear regression was performed to analyze the factors affecting physical activity, and multivariate logistic regression analysis was performed to analyze the factors affecting depression. Spearman's correlation coefficients were calculated to analyze the correlation between depression and physical activity in older persons with osteoporosis. A total of 173 valid questionnaires were statistically analyzed. A total of 122 (70.5%) participants were identified as having depression (SDS ≥ 50 points). The median depression score was 62.5 (24.38), and the median PASE score was 69.29 (116.64). Multivariate logistic regression model results showed that physical activity and pain were the main risk factors for depression in older persons with osteoporosis (p < 0.05). Multivariate linear regression model results showed that gender, participation in social activities, activities of daily living status (ADLs), and depression status were the main risk factors associated with physical activity in older persons with osteoporosis (p < 0.05). The results of the correlation analysis showed that physical activity was negatively correlated with depression (R = -0.510, p = 0.000). We found that depression was negatively correlated with physical activity in older persons with osteoporosis in China. This means that the less physical activity there is, the more serious the depression status and having depression may result in reduced physical activity in older persons with osteoporosis. To better help older persons with osteoporosis, medical staff should give more attention to influencing factors of depression and physical activity.

Association between non-communicable diseases and physical activity level in older adults visiting primary health care centers in Jizan, Saudi Arabia.

To examine the association between the number of non-communicable diseases (NCDs) and physical activity (PA) in older adults visiting primary healthcare centers (PHCCs) in Jizan, Saudi Arabia. This cross-sectional study was carried out on men and women aged ≥60 who visited PHCCs, Jizan City between June and September 2021. Eleven self-reported NCDs were identified and summed to produce a single score, and PA scores were calculated based on the self-reported PA Scale for the Elderly (PASE). Multiple linear regression models were used to examine the association between the number of NCDs and PA in the included population. In total, 94 participants were included in this study. Of these, 62 were men, and 32 were women. The mean age was 67.29±6.58 years, and the mean PASE score was 53.67±29.72. A significant negative association was found between the number of NCDs and PA, even after a fully adjusted analysis. This study found a significant inverse association between the number of NCDs and PA in older adults. In addition, age was associated with lower PA, even among older adults. PA should be recommended to older adults to prevent or reduce the number of NCDs. Future research should focus on examining cause-and-effect associations at a national level.

Physical activity plays a crucial role in multidomain intervention for frailty prevention.

Taiwan is one of the most rapidly aging countries worldwide. Both physical activity and frailty affect older adults, and multidomain interventions prevent frailty. This study investigated the associations between physical activity, frailty, and the effects of multidomain intervention. This study enrolled individuals aged 65years or older. The physical activity level was assessed using the Physical Activity Scale for the Elderly (PASE). Enrollees participated in a multidomain intervention program that consisted of twelve 120-min sessions administered over a 12-week period that included health education, cognitive training, and exercise programs. The effects of the intervention were evaluated using the instrumental activities of daily living scale (IADL), Mini Nutritional Assessment short form (MNA-SF), five-item Geriatric Depression Scale (GDS-5), Mini-Mental State Examination (MMSE), timed up and go test (TUGT), and Fried's frailty phenotype. In total, 106 older adults (aged 65-96years) were enrolled in this study. The mean age was 77.47 ± 7.19years, and 70.8% of participants were women. PASE scores were significantly lower among participants who were of older age, frail, and had a history of falls in the last 12months. Frailty could be improved by multidomain interventions and was significantly positively correlated with depression, and negatively correlated with physical activity, mobility, cognition and daily living skills. Moreover, daily living skills were significantly positively correlated with cognition, mobility and physical activity, and negatively correlated with age, sex, and frailty. However, multidomain interventions did not affect daily living skills suggesting daily living skills may need to be maintained from a young age. Finally, results from multiple regressions suggest that physical activity, mobility and depression may be predictors of frailty. Physical activity has an important role in frailty, may be a predictor of frailty, and strongly contributes to reducing frailty through multidomain intervention. Policies that encourage healthy aging should focus on increasing physical activity, maintaining basic daily living skills and reducing frailty.

Active lifestyle prevent sarcopenia in older men

Objective. Aging is associated with several physiological changes that can increase the risk of disorders such as sarcopenia. The objective of this cross-sectional study was to screen the risk of sarcopenia and related factors in elderly men. Methods. A total of 450 men over the age of 60 years voluntarily participated in the study. Anthropometric indicators and body composition were measured. The timed up and go test (TUG) was used to evaluate physical performance and screen for sarcopenia. The physical activity scale for the elderly (PASE) questionnaire and mini nutritional assessment were used to evaluate physical activity levels and nutritional status. Results. The study found a significant negative correlation between TUG and total PASE scores (p&lt;0.01) and a positive correlation between TUG and age (p&lt;0.01). Linear regression analysis revealed that about 17% of the alterations in TUG scores (p&lt;.001) could be attributed to PASE scores. Additionally, the results of the T-test demonstrated that sarcopenic subjects had significantly higher age (p&lt;0.01) and lower physical activity levels. Our findings suggest that physical activity is an important factor in preventing sarcopenia in the elderly. Conclusion. In conclusion, this study highlights the importance of physical activity in preventing sarcopenia in elderly men. Maintaining an active lifestyle may reduce the risk of sarcopenia and related geriatric syndromes.

Impact of prestroke physical activity and citalopram treatment on poststroke depressive symptoms: a secondary analysis of data from the TALOS randomised controlled trial in Denmark

ObjectivesTo investigate the association between prestroke physical activity and depressive symptoms up to 6 months after stroke and examine if citalopram treatment modified the association.DesignA secondary analysis of data from...

Physical Inactivity, Metabolic Syndrome and Prostate Cancer Diagnosis: Development of a Predicting Nomogram.

Insufficient physical activity (PA) may be a shared risk factor for the development of both metabolic syndrome (MetS) and prostate cancer (PCa). To investigate this correlation and to develop a nomogram able to predict tumor diagnosis. Between 2016 and 2018, a consecutive series of men who underwent prostate biopsy at three institutions were prospectively enrolled. PA was self-assessed by patients through the Physical Activity Scale for the Elderly (PASE) questionnaire; MetS was assessed according to Adult Treatment Panel III criteria. A logistic regression analyses was used to identify predictors of PCa diagnosis and high-grade disease (defined as International Society of Uro-Pathology grade &gt;2 tumors). A nomogram was then computed to estimate the risk of tumor diagnosis. A total of 291 patients were enrolled; 17.5% of them (n = 51) presented with MetS. PCa was diagnosed in 110 (38%) patients overall while 51 presented high-grade disease. At multivariable analysis, age (OR 1.04; 95%CI: 1.00-1.08; p = 0.048), prostate volume (PV) (OR 0.98; 95%CI: 0.79-0.99; p = 0.004), suspicious digital rectal examination (OR 2.35; 95%CI: 1.11-4.98; p = 0.02), total PSA value (OR 1.12; 95%CI: 1.05-1.2; p &lt; 0.001), and PASE score (OR 0.99; 95%CI: 0.98-0.99; p = 0.01) were independent predictors of tumor diagnosis. The latter two also predicted high-grade PCa. MetS was not associated with PCa diagnosis and aggressiveness. The novel nomogram displayed fair discrimination for PCa diagnosis (AUC = 0.76), adequate calibration (p &gt; 0.05) and provided a net benefit in the range of probabilities between 20% and 90%. reduced PA was associated with an increased risk of PCa diagnosis and high-grade disease. Our nomogram could improve the selection of patients scheduled for prostate biopsy at increased risk of PCa.

The Clinical Impact of Physical Activity on the Diagnosis of Prostate Cancer and Postprostatectomy Functional Outcomes in the Elderly.

The effect of physical activity on prostate cancer is controversial. We aimed to investigate the effect of physical activity on prostate cancer detection and functional outcomes after radical prostatectomy. Between 2019 and 2020, 166 patients who underwent prostate biopsy were included. The physical activity scores of patients were evaluated by the Physical Activity Scale for the Elderly (PASE) questionnaire before the procedure. PASE scores were compared between the patients with and without prostate cancer and local and metastatic aggressiveness of cancer. Patients who underwent radical prostatectomy were followed up for 12 months to analyze the effect of physical activity on erectile dysfunction (ED) and urinary incontinence (UI). There was no significant difference between patients with and without prostate cancer in terms of PASE scores (187.7 vs. 195.5, p=0.665). PASE scores were also similar when separated according to D'Amico risk classification and metastatic events. Twenty-seven patients who underwent radical prostatectomy were evaluated in terms of functional outcomes at the first year of surgery. PASE scores of the patients with severe ED were lower than mild-moderate ED, but no statistically significant difference was observed (197.0 vs. 268.5, p=0.267). Patients with persistent UI had a significantly lower PASE score overall than continent patients (128.3 vs. 271.1, p=0.001), and PASE score was the only independent predictor of UI following radical prostatectomy. The effect of physical activity on prostate cancer development or aggressiveness could not be determined. Physical activity was associated with a reduced risk of UI following radical prostatectomy.

Is group-based physical therapy superior to individual rehabilitation in elderly adults after total knee arthroplasty? A prospective observational study.

Knee osteoarthritis (OA) is the most prevalent joint disease and one of the leading causes of disability, poor physical activity levels (PAL), and quality of life (Qol) of elderly people worldwide. The purpose of this study was to evaluate the superiority of a novel group-based physical therapy (GBPT) intervention compared to a more traditional one-to-one individual physical therapy (IPT) among elderly Bulgarian subjects underwent total knee arthroplasty (TKA). One hundred and thirty elderly TKA recipients of both genders with mean age=72.69±0.44 were randomly assigned to GBPT or to one-to-one IPT. Elderly participants were assessed at baseline and at 3 and 6 months after both rehabilitation interventions, with the use of the following evaluation tools: Physical Activity Scale for the Elderly (PASE), Six-Minute Walk Test (6MWT), and Short Form Health Survey questionnaire (SF-36v2). At 6 months elderly TKA recipients who received GBPT achieved 7.36 points more in the PASE questionnaire when compared with the IPT group. Elderly participants of the GBPT group walked significantly longer distance during the 6MWT than TKA recipients attended IPT, respectively 421.56 m vs. 398.62 m, (p< 0.001). Furthermore, significantly greater improvement in health-related quality of life (HRQoL) was obtained from the elderly participants of the GBPT arm compared with the participants of the IPT arm, respectively 70, 7% vs. 60, 8% at 6 months follow up. We conclude that our results suggest the superiority of the GBPT in terms of PAL (PASE score, 6MWT) and HRQoL among elderly TKA recipients across the first 6 months.

AN ASSESSMENT OF GOAL-DIRECTED BEHAVIOURS THAT PROMOTE HEALTH-RELATED QUALITY OF LIFE: A PROOF-OF-CONCEPT STUDY

AN ASSESSMENT OF GOAL-DIRECTED BEHAVIOURS THAT PROMOTE HEALTH-RELATED QUALITY OF LIFE: A PROOF-OF-CONCEPT STUDY

Physical Activity in People With Motor Neuron Disease: Validity of the Physical Activity Scale for the Elderly as a Measuring Tool

ObjectiveThis study aimed to investigate whether the physical activity scale for the elderly (PASE) is a valid tool in measuring physical activity (PA) in people with motor neuron disease (MND) and to identify the demographic and clinical factors that predict PA participation in this population. DesignA prospective, observational study involving 100 ambulant participants with MND. SettingThis study was conducted at a multidisciplinary specialist MND clinic. The clinic is fully funded by the local public health system and patients receiving care here are not expected to pay for their consultation. Participants190 patients with MND who had a physiotherapy appointment at the specialist clinic between July and October 2018 were screened. Of these, 100 participants (mean age 67 years [SD=12], 64% [n=64] men) who were ambulant (with or without assistance) were recruited (N=100). InterventionsNot applicable. Main Outcome MeasuresPASE questionnaire, amyotrophic lateral sclerosis functional rating scale—Revised (ALSFRS-r), forced vital capacity (FVC). ResultsThe results showed that engagement in PA is generally low, with median PASE score of 57. The PASE had fair-moderate correlation with ALSFRS-R total scores (rho=0.607; P<.000) and FVC (rho=0.250; P=.030). Standard multiple regression analyses showed that disease severity (ALSFRS-R total score) was the strongest predictor of PA levels (β= 0.54; 95% confidence interval 0.02,0.06). The most frequently selected physical activities of choice for people with MND were activities around their homes and the biggest barrier to participation is fatigue. ConclusionPresent findings suggest that the PASE can be used to measure PA participation in people with MND. Details about activity of choice and barriers to participation present important considerations in designing exercise programs in this population to maximize compliance and therefore effectiveness.

Physical activity levels in people with Parkinson’s disease treated by subthalamic nucleus deep brain stimulation

Purpose To explore the physical activity of people with Parkinson’s disease (PD) with subthalamic nucleus deep brain stimulation (STN-DBS) and investigate factors associated with physical activity. Methods Twenty-four participants who had STN-DBS for one or more years were recruited. Eligibility criteria included Hoehn and Yahr stage ≤ 4, continuation of STN-DBS, living at home and able to provide informed consent. Physical activity was measured using the self-report physical activity scale for the elderly (PASE). Motor and non-factors that influence physical activity in PD, such as gait disturbance and mood, were recorded using clinical measures. Results Participants had long-standing PD of moderate severity, mean Hoehn and Yahr 2.3, and mild to moderate functional disability, MDS-UPDRS M-EDL mean 16.2. PASE scores were significantly lower compared to norms for adults ≤ 70 years (115.2 versus 143, p= 0.045). There was a significant negative correlation between PASE scores and falls history, fatigue, fear of falling (FOF) and quality of life (p < 0.05). Conclusions This study provides further evidence that physical activity levels in PD with STN-DBS remain low compared to PASE norms for older adults. Future research investigating interventions to improve factors associated with low physical activity levels should be considered. Implications for Rehabilitation Despite the benefits of deep brain stimulation (DBS) on motor function and activities of daily living, physical activity levels remain low in people with Parkinson’s disease (PD) with subthalamic nucleus (STN)-DBS compared to norms for older adults. A history of falls, greater fear of falling (FOF) and higher levels of fatigue are associated with lower levels of physical activity in people with PD with STN-DBS. When planning rehabilitation interventions consideration should be given to strategies that promote and support regular physical activity for people with PD with STN-DBS. Rehabilitation clinicians should consider using falls prevention programmes and include strategies to decrease FOF for people with PD with STN-DBS. Consideration should be given to the presence of fatigue when planning the rehabilitation programme for the person with PD with STN-DBS.

Exercise Motivation Among Special Populations

Motivational factors and barriers to exercise are key factors in exercise programming, particularly in programs intended for special populations. PURPOSE: 1) To investigate physical activity and exercise motivation among persons with various chronic health conditions, apparently healthy older adults, and among persons participating in community exercise programs associated with special populations, specifically older adults and those with chronic disease, and 2) Identify barriers to exercise among special populations. METHODS: Surveys comprising of demographics, physical activity (PA) (Physical Activity Scale for the Elderly (PASE)), and exercise motivation (Behavioral Regulation in Exercise Questionnaire (BREQ2)), and barriers to exercise, were distributed to participants of local community exercise programs targeting special populations, and apparently healthy older adults (n = 208). RESULTS: Significant effects were found for participation in a community exercise program regarding PASE score (F = 3.48, p = .01), amotivation (F = 8.54, p = .00), external regulation (F = 2.71, p = .03), introjected regulation (F = 24.07, p = .00), identified regulation (F = 1.18, p = .34), and for health condition on intrinsic regulation (F = 2.32, p = .03). Post hoc pairwise comparisons revealed significant differences in amotivation scores between those participating in a diabetes prevention program (DPP) (1.5 ± .88) and participants in Stay Active and Independent for Life (SAIL) (0.23 ± .01, p = .00), cardiac rehabilitation (0.16 ± .01, p = .00), Parkinson’s programs (.31 ± .04, p = .00), and Functionally Fit (.23 ± .02, p = .00). Most common barriers cited were COVID-19, time constraints, fatigue, pain, and stress. CONCLUSION: Overall health condition did not appear to have an impact on physical activity or exercise motivation. However, those with osteoporosis and cancer had higher levels of intrinsic motivation toward exercise. Participation in community programs appeared to have a positive impact on physical activity and exercise motivation. Specifically, those participating in cardiac rehab and Functionally Fit had higher levels of PA, and DPP participants had less motivation to exercise. Further analysis is expected comparing participation in community programs vs. no program.