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van Allen Z, Orsholits D, Boisgontier MP. Pre-stroke physical activity matters for functional limitations: A longitudinal case-control study of 12,860 participants. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.09.14.23295576. [PMID: 37745591 PMCID: PMC10516084 DOI: 10.1101/2023.09.14.23295576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Objective In the chronic phase after a stroke, limitations in activities of daily living (ADLs) and instrumental ADL (IADLs) initially plateau before steadily increasing. The benefits of pre-stroke physical activity on these limitations remain unclear. To clarify this relationship, we examined the effect of physical activity on the long-term evolution of functional limitations in a cohort of stroke survivors and compared it to a cohort of matched stroke-free adults. Methods Longitudinal data from 2,143 stroke survivors and 10,717 stroke-free adults aged 50 years and older were drawn from a prospective cohort study based on the Survey of Health, Ageing and Retirement in Europe (2004-2022; 8 data collection waves). Physical activity was assessed in the pre-stroke wave. Functional limitations were assessed in the post-stroke waves. Each stroke survivor was matched with 5 stroke-free adults who had similar propensity scores computed on the basis of key covariates, including baseline age, sex, body mass index, limitations in ADL and IADL, chronic conditions and country of residence, before any of the participants from either cohort had experienced a stroke. Results Results showed an interaction between stroke status and physical activity on ADL limitations (b = -0.076; 95% CI = -0.142 to -0.011), with the effect of physical activity being stronger in stroke survivors (b = -0.345, 95% CI = -0.438 to -0.252) than in stroke-free adults (b = -0.269, 95% CI = -0.269 to -0.241). Conclusion The beneficial effect of pre-stroke physical activity on ADL limitations after stroke is stronger than its effect in matched stroke-free adults followed for a similar number of years. Impact Physical activity, an intervention within the physical therapist's scope of practice, is effective in reducing the risk of functional dependence after stroke. Moreover, pre-stroke levels of physical activity can inform the prognosis of functional dependence in stroke survivors.
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Affiliation(s)
- Zack van Allen
- School of Rehabilitation Sciences, Faculty of Health Sciences, University of Ottawa, Canada
- Perley Health Centre of Excellence in Frailty-Informed Care, Ottawa, Canada
| | - Dan Orsholits
- School of Rehabilitation Sciences, Faculty of Health Sciences, University of Ottawa, Canada
| | - Matthieu P. Boisgontier
- School of Rehabilitation Sciences, Faculty of Health Sciences, University of Ottawa, Canada
- Perley Health Centre of Excellence in Frailty-Informed Care, Ottawa, Canada
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Canada
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Powell-Wiley TM, Martinez MF, Heneghan J, Weatherwax C, Osei Baah F, Velmurugan K, Chin KL, Ayers C, Cintron MA, Ortiz-Whittingham LR, Sandler D, Sharda S, Whitley M, Bartsch SM, O’Shea KJ, Tsintsifas A, Dibbs A, Scannell SA, Lee BY. Health and Economic Value of Eliminating Socioeconomic Disparities in US Youth Physical Activity. JAMA HEALTH FORUM 2024; 5:e240088. [PMID: 38488779 PMCID: PMC10943408 DOI: 10.1001/jamahealthforum.2024.0088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/08/2024] [Indexed: 03/18/2024] Open
Abstract
Importance There are considerable socioeconomic status (SES) disparities in youth physical activity (PA) levels. For example, studies show that lower-SES youth are less active, have lower participation in organized sports and physical education classes, and have more limited access to PA equipment. Objective To determine the potential public health and economic effects of eliminating disparities in PA levels among US youth SES groups. Design and Setting An agent-based model representing all 6- to 17-year-old children in the US was used to simulate the epidemiological, clinical, and economic effects of disparities in PA levels among different SES groups and the effect of reducing these disparities. Main Outcomes and Measures Anthropometric measures (eg, body mass index) and the presence and severity of risk factors associated with weight (stroke, coronary heart disease, type 2 diabetes, or cancer), as well as direct and indirect cost savings. Results This model, representing all 50 million US children and adolescents 6 to 17 years old, found that if the US eliminates the disparity in youth PA levels across SES groups, absolute overweight and obesity prevalence would decrease by 0.826% (95% CI, 0.821%-0.832%), resulting in approximately 383 000 (95% CI, 368 000-399 000) fewer cases of overweight and obesity and 101 000 (95% CI, 98 000-105 000) fewer cases of weight-related diseases (stroke and coronary heart disease events, type 2 diabetes, or cancer). This would result in more than $15.60 (95% CI, $15.01-$16.10) billion in cost savings over the youth cohort's lifetime. There are meaningful benefits even when reducing the disparity by just 25%, which would result in $1.85 (95% CI, $1.70-$2.00) billion in direct medical costs averted and $2.48 (95% CI, $2.04-$2.92) billion in productivity losses averted. For every 1% in disparity reduction, total productivity losses would decrease by about $83.8 million, and total direct medical costs would decrease by about $68.7 million. Conclusions and Relevance This study quantified the potential savings from eliminating or reducing PA disparities, which can help policymakers, health care systems, schools, funders, sports organizations, and other businesses better prioritize investments toward addressing these disparities.
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Affiliation(s)
- Tiffany M. Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland
| | - Marie F. Martinez
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Jessie Heneghan
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Colleen Weatherwax
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Foster Osei Baah
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia
| | - Kavya Velmurugan
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Kevin L. Chin
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Colby Ayers
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland
| | - Manuel A. Cintron
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland
| | - Lola R. Ortiz-Whittingham
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland
| | - Dana Sandler
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland
| | - Sonal Sharda
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland
| | - Meredith Whitley
- Ruth S. Ammon College of Education and Health Sciences, Adelphi University, Garden City, New York
- Maties Sport, Centre for Sport Leadership, Stellenbosch University, Stellenbosch, South Africa
| | - Sarah M. Bartsch
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Kelly J. O’Shea
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Alexandra Tsintsifas
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Alexis Dibbs
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Sheryl A. Scannell
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
| | - Bruce Y. Lee
- Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Center for Advanced Technology and Communication in Health (CATCH), CUNY Graduate School of Public Health and Health Policy, New York, New York
- Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center, New York, New York
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Tang Y, Cao M, Li Y, Lin Y, Wu X, Chen M. Altered structural covariance of locus coeruleus in individuals with significant memory concern and patients with mild cognitive impairment. Cereb Cortex 2023; 33:8523-8533. [PMID: 37130822 PMCID: PMC10321106 DOI: 10.1093/cercor/bhad137] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 03/31/2023] [Accepted: 04/02/2023] [Indexed: 05/04/2023] Open
Abstract
The locus coeruleus (LC) is the site where tau accumulation is preferentially observed pathologically in Alzheimer's disease (AD) patients, but the changes in gray matter co-alteration patterns between the LC and the whole brain in the predementia phase of AD remain unclear. In this study, we estimated and compared the gray matter volume of the LC and its structural covariance (SC) with the whole brain among 161 normal healthy controls (HCs), 99 individuals with significant memory concern (SMC) and 131 patients with mild cognitive impairment (MCI). We found that SC decreased in MCI groups, which mainly involved the salience network and default mode network. These results imply that seeding from LC, the gray matter network disruption and disconnection appears early in the MCI group. The altered SC network seeding from the LC can serve as an imaging biomarker for discriminating the patients in the potential predementia phase of AD from the normal subjects.
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Affiliation(s)
- Yingmei Tang
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No.107 Yanjiang Road West, Guangzhou 510120, Guangdong, China
| | - Minghui Cao
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No.107 Yanjiang Road West, Guangzhou 510120, Guangdong, China
| | - Yunhua Li
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No.107 Yanjiang Road West, Guangzhou 510120, Guangdong, China
| | - Yuting Lin
- School of Psychology, Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, No.55 Zhongshan Avenue West, Guangzhou 510631, Guangdong, China
| | - Xiaoyan Wu
- School of Psychology, Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, No.55 Zhongshan Avenue West, Guangzhou 510631, Guangdong, China
| | - Meiwei Chen
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No.107 Yanjiang Road West, Guangzhou 510120, Guangdong, China
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Krawcyk RS, Christoffersen LC, Danielsen AK, Kruuse C. Motivators for physical activity in patients with minor stroke: a qualitative study. Disabil Rehabil 2023; 45:277-285. [PMID: 35119324 DOI: 10.1080/09638288.2022.2032409] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
PURPOSE Physical inactivity is a major risk factor for stroke. However, to encourage physical activity after stroke, it is important to know what motivates the patients. We aimed to explore possible motivators and barriers for physical activity in patients discharged after minor stroke or transient ischemic attack (TIA). METHODS A qualitative study including 35 patients (21 men) with minor stroke or TIA (median age; 69 years, range 47-90) in semi-structured focus group interviews. Audio recordings were transcribed to text verbatim and analyzed with qualitative content analysis. RESULTS Six interviews of 60 min. revealed five categories; the patients had a positive attitude towards physical activity, and they preferred to exercise locally under supervision of health professionals. Physical activity with others was motivating and obligating, and if possible as a weekly habit. Some experienced physical- and mental sequelae, which kept them from exercising. CONCLUSION This study provides valuable knowledge of what motivates and prevents patients with minor stroke or TIA to be physically active after hospital discharge, and what to consider when designing future exercise studies. Consequently, it is recommended that patients with minor stroke or TIA are offered supervised physical activity to prevent worsening of cardiovascular disease and recurrent cardiovascular event.Implications for rehabilitationParticipants were positive towards physical activity after minor stroke or transient ischemic attack (TIA).Physical activity with others was perceived as both motivating and obligating.Post-stroke fatigue, lack of energy, and overview should be considered when designing secondary prevention programs.Participants call for exercise opportunities arranged locally and as group exercise supervised by health professionals with knowledge of stroke.
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Affiliation(s)
- Rikke Steen Krawcyk
- Department of Physiotherapy and Occupational Therapy, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Neurology, Neurovascular Research Unit, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Laura Cathrine Christoffersen
- Department of Neurology, Neurovascular Research Unit, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Anne Kjaergaard Danielsen
- Department of Gastroenterology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christina Kruuse
- Department of Neurology, Neurovascular Research Unit, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Falck RS, Best JR, Barha CK, Davis JC, Liu-Ambrose T. Do the relationships of physical activity and total sleep time with cognitive function vary by age and biological sex? A cross-sectional analysis of the Canadian Longitudinal Study on Aging. Maturitas 2022; 166:41-49. [PMID: 36055010 DOI: 10.1016/j.maturitas.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/09/2022] [Accepted: 08/17/2022] [Indexed: 11/20/2022]
Abstract
OBJECTIVES Physical activity (PA) and total sleep time (TST) are each associated with cognition; however, whether these relationships vary by age and biological sex is unclear. We examined the relationships of PA or TST with cognition, and whether age and sex moderated these relationships, using baseline data from the Canadian Longitudinal Study on Aging (CLSA; 2010-2015). STUDY DESIGN A cross-sectional analysis of participants from the Comprehensive cohort of the CLSA with complete PA and sleep data (n = 20,307; age range 45-86 years). MAIN OUTCOME MEASURES PA and TST were measured using the Physical Activity Scale for the Elderly (PASE) and self-reported TST over the past month. Cognition was indexed using a three-factor structural equation model (i.e., memory, executive function, and verbal fluency). RESULTS Non-linear restricted cubic spline models indicated that PA and TST explained statistically significant (p < 0.01) but modest variance of each cognitive domain (<1 % of 23-24 % variance). Age and sex did not moderate associations of PA with any cognitive domain. However, age and sex moderated relationships of TST with cognition, whereby: 1) associations of TST with memory decreased with age for males and females; and 2) males and females had different age-associated relationships of TST with executive function and verbal fluency. CONCLUSIONS PA and TST modestly contribute to multiple domains of cognition across middle and older adulthood. Importantly, the association of PA with cognition does not appear to vary across middle or older adulthood, nor does it vary by biological sex; however, TST appears to have a complex relationship with multiple domains of cognition which is both age- and sex-dependent.
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Affiliation(s)
- Ryan S Falck
- Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada; Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada; Centre for Hip Health and Mobility, University of British Columbia, Vancouver, BC, Canada
| | - John R Best
- Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada; Gerontology Research Centre, Simon Fraser University, Vancouver, BC, Canada
| | - Cindy K Barha
- Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada; Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada; Centre for Hip Health and Mobility, University of British Columbia, Vancouver, BC, Canada
| | - Jennifer C Davis
- Centre for Hip Health and Mobility, University of British Columbia, Vancouver, BC, Canada; Applied Health Economics Laboratory, University of British Columbia - Okanagan Campus, Kelowna, BC, Canada; Social & Economic Change Laboratory, Faculty of Management, University of British Columbia - Okanagan Campus, Kelowna, BC, Canada
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada; Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada; Centre for Hip Health and Mobility, University of British Columbia, Vancouver, BC, Canada.
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A register-based study on associations between pre-stroke physical activity and cognition early after stroke (part of PAPSIGOT). Sci Rep 2022; 12:5779. [PMID: 35388045 PMCID: PMC8986803 DOI: 10.1038/s41598-022-09520-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/23/2022] [Indexed: 01/02/2023] Open
Abstract
The objective was to investigate if pre-stroke physical activity is associated with intact cognition early after stroke. The study design was a cross-sectional, register-based study. The study sample included 1111 adults with first stroke (mild or moderate severity) admitted to three Swedish stroke units. The main outcome was cognition. The associations of pre-stroke physical activity, age, sex, smoking, diabetes, atrial fibrillation, previous TIA, statin treatment, hypertension treatment, reperfusion therapies, stroke severity, and education on the outcome cognition were analyzed using binary logistic regression. Physical activity was assessed within 48 h of admittance, and cognition was screened during stroke unit care. The results were: mean age 70 years, 40% women, 61% pre-stroke physically active, and 53% with post-stroke cognitive impairment. Patients with pre-stroke light or moderate physical activity have higher odds for intact cognition compared to inactive: odds ratio (95% confidence interval) 1.32 (0.97-1.80) and 2.04 (1.18-3.53), respectively. In addition to pre-stroke physical activity, people with younger age, a higher level of education, less severe stroke (more mild than moderate), being non-diabetic, and non-smoking have higher odds for intact cognition. In conclusion physical activity before stroke is associated with intact cognition in patients with mild and moderate stroke.
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Legg LA, Rudberg AS, Hua X, Wu S, Hackett ML, Tilney R, Lindgren L, Kutlubaev MA, Hsieh CF, Barugh AJ, Hankey GJ, Lundström E, Dennis M, Mead GE. Selective serotonin reuptake inhibitors (SSRIs) for stroke recovery. Cochrane Database Syst Rev 2021; 11:CD009286. [PMID: 34780067 PMCID: PMC8592088 DOI: 10.1002/14651858.cd009286.pub4] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Selective serotonin reuptake inhibitors (SSRIs) might theoretically reduce post-stroke disability by direct effects on the brain. This Cochrane Review was first published in 2012 and last updated in 2019. OBJECTIVES To determine if SSRIs are more effective than placebo or usual care at improving outcomes in people less than 12 months post-stroke, and to determine whether treatment with SSRIs is associated with adverse effects. SEARCH METHODS We searched the Cochrane Stroke Group Trials Register (last searched 7 January 2021), Cochrane Controlled Trials Register (CENTRAL, Issue 7 of 12, 7 January 2021), MEDLINE (1946 to 7 January 2021), Embase (1974 to 7 January 2021), CINAHL (1982 to 7 January 2021), PsycINFO (1985 to 7 January 2021), and AMED (1985 to 7 January 2021). PsycBITE had previously been searched (16 July 2018). We searched clinical trials registers. SELECTION CRITERIA We included randomised controlled trials (RCTs) recruiting stroke survivors within the first year. The intervention was any SSRI, at any dose, for any period, and for any indication. The comparator was usual care or placebo. Studies reporting at least one of our primary (disability score or independence) or secondary outcomes (impairments, depression, anxiety, quality of life, fatigue, cognition, healthcare cost, death, adverse events and leaving the study early) were included in the meta-analysis. The primary analysis included studies at low risk of bias. DATA COLLECTION AND ANALYSIS We extracted data on demographics, stroke type and, our pre-specified outcomes, and bias sources. Two review authors independently extracted data. We used mean difference (MD) or standardised mean differences (SMDs) for continuous variables, and risk ratios (RRs) for dichotomous variables, with 95% confidence intervals (CIs). We assessed bias risks and applied GRADE criteria. MAIN RESULTS We identified 76 eligible studies (13,029 participants); 75 provided data at end of treatment, and of these two provided data at follow-up. Thirty-eight required participants to have depression to enter. The duration, drug, and dose varied. Six studies were at low risk of bias across all domains; all six studies did not need participants to have depression to enter, and all used fluoxetine. Of these six studies, there was little to no difference in disability between groups SMD -0.0; 95% CI -0.05 to 0.05; 5 studies, 5436 participants, high-quality evidence) or in independence (RR 0.98; 95% CI 0.93 to 1.03; 5 studies, 5926 participants; high-quality evidence) at the end of treatment. In the studies at low risk of bias across all domains, SSRIs slightly reduced the average depression score (SMD 0.14 lower, 95% CI 0.19 lower to 0.08 lower; 4 studies; 5356 participants, high-quality evidence) and there was a slight reduction in the proportion with depression (RR 0.75, 95% CI 0.65 to 0.86; 3 studies, 5907 participants, high-quality evidence). Cognition was slightly better in the control group (MD -1.22, 95% CI -2.37 to -0.07; 4 studies, 5373 participants, moderate-quality evidence). Only one study (n = 30) reported neurological deficit score (SMD -0.39, 95% CI -1.12 to 0.33; low-quality evidence). SSRIs resulted in little to no difference in motor deficit (SMD 0.03, -0.02 to 0.08; 6 studies, 5518 participants, moderate-quality evidence). SSRIs slightly increased the proportion leaving the study early (RR 1.57, 95% CI 1.03 to 2.40; 6 studies, 6090 participants, high-quality evidence). SSRIs slightly increased the outcome of a seizure (RR 1.40, 95% CI 1.00 to 1.98; 6 studies, 6080 participants, moderate-quality evidence) and a bone fracture (RR 2.35, 95% CI 1.62 to 3.41; 6 studies, 6080 participants, high-quality evidence). One study at low risk of bias across all domains reported gastrointestinal side effects (RR 1.71, 95% CI 0.33, to 8.83; 1 study, 30 participants). There was no difference in the total number of deaths between SSRI and placebo (RR 1.01, 95% CI 0.82 to 1.24; 6 studies, 6090 participants, moderate quality evidence). SSRIs probably result in little to no difference in fatigue (MD -0.06; 95% CI -1.24 to 1.11; 4 studies, 5524 participants, moderate-quality of evidence), nor in quality of life (MD 0.00; 95% CI -0.02 to 0.02, 3 studies, 5482 participants, high-quality evidence). When all studies, irrespective of risk of bias, were included, SSRIs reduced disability scores but not the proportion independent. There was insufficient data to perform a meta-analysis of outcomes at end of follow-up. Several small ongoing studies are unlikely to alter conclusions. AUTHORS' CONCLUSIONS There is high-quality evidence that SSRIs do not make a difference to disability or independence after stroke compared to placebo or usual care, reduced the risk of future depression, increased bone fractures and probably increased seizure risk.
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Affiliation(s)
- Lynn A Legg
- NHS Greater Glasgow and Clyde Health Board, Paisley, UK
| | - Ann-Sofie Rudberg
- Division of Neurology, Department of Clinical Sciences, Karolinska Institutet Danderyd Hospital, Stockholm, Sweden
| | - Xing Hua
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Simiao Wu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Maree L Hackett
- Professor, Program Head, Mental Health, The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Russel Tilney
- Department of Medicine, Mater Dei Hospital, Msida, Malta
| | - Linnea Lindgren
- Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden
| | - Mansur A Kutlubaev
- Department of Neurology, Neurosurgery and Medical Genetics, Bashkir State Medical University, Ufa, Russian Federation
| | - Cheng-Fang Hsieh
- Division of Geriatrics and Gerontology, Department of Internal Medicine and Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Amanda J Barugh
- Department of Geriatric Medicine, University of Edinburgh, Edinburgh, UK
| | - Graeme J Hankey
- Medical School, Faculty of Health and Medical Sciences,, The University of Western Australia, Perth, Australia
| | - Erik Lundström
- Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden
| | - Martin Dennis
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Gillian E Mead
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Hafez S, Eid Z, Alabasi S, Darwiche Y, Channaoui S, Hess DC. Mechanisms of Preconditioning Exercise-Induced Neurovascular Protection in Stroke. J Stroke 2021; 23:312-326. [PMID: 34649377 PMCID: PMC8521252 DOI: 10.5853/jos.2020.03006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 09/13/2021] [Indexed: 12/27/2022] Open
Abstract
Ischemic stroke is a leading cause of death and disability. Tissue plasminogen activator is the only U.S. Food and Drug Administration approved thrombolytic therapy for ischemic stroke patients till date. However, its use is limited due to increased risk of bleeding and narrow therapeutic window. Most of the preclinically tested pharmacological agents failed to be translated to the clinic. This drives the need for alternative therapeutic approaches that not only provide enhanced neuroprotection, but also reduce the risk of stroke. Physical exercise is a sort of preconditioning that provides the body with brief ischemic episodes that can protect the body from subsequent severe ischemic attacks like stroke. Physical exercise is known to improve cardiovascular health. However, its role in providing neuroprotection in stroke is not clear. Clinical observational studies showed a correlation between regular physical exercise and reduced risk and severity of ischemic stroke and better outcomes after stroke. However, the underlying mechanisms through which prestroke exercise can reduce the stroke injury and improve the outcomes are not completely understood. The purpose of this review is to: demonstrate the impact of exercise on stroke outcomes and show the potential role of exercise in stroke prevention and recovery; uncover the underlying mechanisms through which exercise reduces the neurovascular injury and improves stroke outcomes aiming to develop novel therapeutic approaches.
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Affiliation(s)
- Sherif Hafez
- Department of Pharmaceutical Sciences, College of Pharmacy Mercer University, Atlanta, GA, USA.,Neurology Department, Augusta University, Augusta, GA, USA
| | - Zeina Eid
- College of Pharmacy Larkin University, Miami, FL, USA
| | - Sara Alabasi
- College of Pharmacy Larkin University, Miami, FL, USA
| | | | | | - David C Hess
- Neurology Department, Augusta University, Augusta, GA, USA
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Levels of physical activity before and after stroke in relation to early cognitive function. Sci Rep 2021; 11:9078. [PMID: 33907260 PMCID: PMC8079693 DOI: 10.1038/s41598-021-88606-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 04/13/2021] [Indexed: 11/08/2022] Open
Abstract
Regular physical activity is widely recommended in the primary and secondary prevention of stroke. Physical activity may enhance cognitive performance after stroke, but cognitive impairments could also hinder a person to take part in physical activity. However, a majority of previous studies have not found any association between post-stroke cognitive impairments and a person’s subsequent level of activity. In this explorative, longitudinal study, we describe the intraindividual change in physical activity from before to 6 months after stroke, in relation to early screening of post-stroke cognitive impairments. Participants were recruited at 2 to 15 days after stroke, and screened for cognitive impairments using the Montreal Cognitive Assessment tool. Information on pre-stroke physical activity was retrospectively collected at hospital admittance by physiotherapists. Post-stroke physical activity was evaluated after 6 months. Of 49 participants included, 44 were followed up. The level of physical activity changed in more than half of all participants after stroke. Participants who were physically active 6 months after stroke presented with significantly less cognitive impairments. These results highlight that many stroke survivors experience a change in their physical activity level following stroke, and that unimpaired cognition may be important for a stroke survivors’ ability to be physically active.
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