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Chen K, Wang Y, Li D, Li J, Huang Y, Huang M, Ma H. Impact of diverse aerobic exercise plans on glycemic control, lipid levels, and functional activity in stroke patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2024; 15:1389538. [PMID: 39359413 PMCID: PMC11446103 DOI: 10.3389/fendo.2024.1389538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 08/28/2024] [Indexed: 10/04/2024] Open
Abstract
Aims This study aimed to assess the effects of Low-to-Moderate Intensity Continuous Training (LMICT), Moderate-Intensity Interval Training (MIIT), and Reduced-Exertion High-Intensity Training (REHIT) on blood glucose regulation, functional recovery, and lipid levels in individuals who have experienced a stroke and are diagnosed with Type 2 Diabetes Mellitus (T2DM). Methods Forty-two T2DM stroke patients were randomly allocated to four groups: LMICT, MIIT, REHIT, and a control group (CON). Participants continuously monitored their blood glucose levels throughout the intervention using continuous glucose monitoring (CGM) devices. The study comprised two exercise intervention cycles: the first lasting from Day 3 to Day 14 and the second from Day 15 to Day 28, with the initial two days serving as contrasting periods. Primary outcomes encompassed CGM-derived blood glucose measurements, the Barthel Index (BI), Fugl-Meyer Assessment lower-extremity subscale (FMA-LE), and alterations in triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), and low-density lipoprotein cholesterol (LDL-c). Results Compared with the CON, the MIIT group showed significant improvements in mean glucose (MG), glucose standard deviation (SD), time above range (TAR), and time in range (TIR). The REHIT group exhibited significantly reduced time below range (TBR), glucose SD, and coefficient of variation (CV). Regarding lipid levels, although the REHIT group achieved a significant reduction in TG levels compared with the CON, the overall effects of LMICT, MIIT, and REHIT on lipid profiles were relatively modest. Concerning functional recovery, the REHIT group significantly improved the BI and FMA-LE. Conclusion Although the short-term quantitative impact of exercise on lipid levels may be limited, both REHIT and MIIT significantly improved glycemic management and reduced glucose variability in post-stroke patients with Type 2 Diabetes Mellitus. Additionally, REHIT notably enhanced functional recovery.
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Affiliation(s)
- Kangcheng Chen
- School of Athletic Performance, Shanghai University of Sport, Shanghai, China
| | - Yulong Wang
- Department of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, China
| | - Dongxia Li
- Department of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, China
| | - Jun Li
- School of Athletic Performance, Shanghai University of Sport, Shanghai, China
| | - Yong Huang
- Department of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, China
| | - Meiling Huang
- Department of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, China
| | - Haifeng Ma
- School of Athletic Performance, Shanghai University of Sport, Shanghai, China
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Calancie L, Leng XI, Whitsel EA, Cené C, Hassmiller Lich K, Dave G, Corbie G. Racial disparities in stroke incidence in the Women's Health Initiative: Exploring biological, behavioral, psychosocial, and social risk factors. SSM Popul Health 2024; 25:101570. [PMID: 38313870 PMCID: PMC10837642 DOI: 10.1016/j.ssmph.2023.101570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 02/06/2024] Open
Abstract
Background - Disparities in incident stroke risk among women by race and ethnicity persist. Few studies report the distribution and association of stroke risk factors by age group among a diverse sample of women. Methods - Data from the Women's Health Initiative (WHI) Observational Study collected between 1993 and 2010 were used to calculate cumulative stroke incidence and incidence rates among non-Hispanic African American (NHAA), non-Hispanic white (NHW), and Hispanic white or African American (HWAA) women by age group in participants aged ≥50 years at baseline (N = 77,247). Hazard ratios (HRs) and 95% CIs for biological, behavioral, psychosocial, and socioeconomic factors overall and by race or ethnicity were estimated using sequential Cox proportional hazard regression models. Results - Average follow-up time was 11.52 (SD, 3.48) years. The incident stroke rate was higher among NHAA (306 per 100,000 person-years) compared to NHW (279/100,000py) and HWAA women (147/100,000py) overall and in each age group. The disparity was largest at ages >75 years. The association between stroke risk factors (e.g., smoking, BMI, physical activity) and incident stroke varied across race and ethnicity groups. Higher social support was significantly associated with decreased stroke risk overall (HR:0.84, 95% CI, 0.76, 0.93); the degree of protection varied across race and ethnicity groups. Socioeconomic factors did not contribute additional stroke risk beyond risk conferred by traditional and psychosocial factors. Conclusions - The distribution and association of stroke risk factors differed between NHAA and NHW women. There is a clear need for stroke prevention strategies that address factors driving racial disparities in stroke risk.
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Affiliation(s)
| | - Xiaoyan Iris Leng
- Wake Forest University, 1834 Wake Forest Rd, Winston-Salem, NC, 27109, USA
| | - Eric A. Whitsel
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
| | - Crystal Cené
- University of San Diego Health, 9300 Campus Point Drive, #7970, USA
| | | | - Gaurav Dave
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
| | - Giselle Corbie
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
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Xia Y, Li L, Li Y, Hu M, Zhang T, Feng Q, Li W, Zhu Y, Wu M. Association of fasting blood glucose level with 90-day unfavorable outcome in acute ischemic stroke patients. Clin Neurol Neurosurg 2024; 236:108049. [PMID: 37989034 DOI: 10.1016/j.clineuro.2023.108049] [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: 10/15/2022] [Revised: 11/01/2023] [Accepted: 11/06/2023] [Indexed: 11/23/2023]
Abstract
OBJECTIVES Fasting blood glucose (FBG) is a risk factor for Acute Ischemic Stroke (AIS). We aimed to systematically assess the association of FBG level and 90-day unfavorable outcome in AIS patients. METHODS FBG levels and related information of the patients were collected at admission. The unfavorable outcome was defined as 90-day mRS 3-6. FBG levels were analyzed as continuous variables and tertiles (Q1-Q3). Odds ratios and 95% confidence intervals were calculated by using multivariate logistic regression analysis. RESULTS Overall, 677 AIS patients were included. FBG were significantly associated with unfavorable outcome at 90 days (adjusted OR 1.15 [95%Cl, 1.05-1.25], P = 0.002). Participants were categorized based on the FBG tertile cut-off points, the Odds ratios was 2.55-fold higher in Q3 than those in Q1 after adjusting (OR 2.55[95%Cl, 1.23-5.3], p = 0.012). Threshold effect analysis showed when FBG ≥ 5.5 mmol/L, the correlation between FBG and 90-day unfavorable outcome increased significantly. Subgroup analysis showed that there was no significant interaction between FBG and 90-day unfavorable outcome. Non-diabetic AIS patients with hyperglycemia (FBG ≥ 7 mmol/L) have a worse prognosis in comparison to those with normal glucose (FBG ˂ 5.6 mmol/L) (OR 8.59 [ 95%Cl, 2.24-32.97], p = 0.002). CONCLUSION FBG is an independent predictor of 90-day unfavorable outcome after stroke in AIS patients. When FBG ≥ 5.5 mmol/L, the risk of 90-day unfavorable outcome increases significantly.
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Affiliation(s)
- Yangjingyi Xia
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Li Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Yunze Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Manyan Hu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Tianrui Zhang
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Qinghua Feng
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Wenlei Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Yuan Zhu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China
| | - Minghua Wu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China.
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Zheng Q, Liu X, Lan H, Guo Q, Xiong T, Wang K, Jiang C, Zhang J, Wang G, Dong N, Shi J. Association of fasting blood glucose variability with all-cause mortality in heart transplant recipients. Clin Transplant 2023; 37:e14958. [PMID: 37013964 DOI: 10.1111/ctr.14958] [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: 12/20/2022] [Revised: 02/23/2023] [Accepted: 02/27/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND Fasting blood glucose (FBG) variability, an emerging marker of glycemic control, has been shown to be related to the risk of cardiovascular events and all-cause mortality in subjects with or without diabetes. However, whether FBG variability is independently associated with a higher all-cause mortality in heart transplant recipients remains unknown. METHODS We performed a retrospective cohort study including 373 adult recipients who survived for at least 1 year after heart transplantation with a functioning graft and measured FBG more than three times within first year after transplantation. Multivariable adjusted Cox regression analyses were performed to assess the association between FBG variability and all-cause mortality. RESULTS Patients were categorized into three groups according to the coefficient of variation of FBG level: ≤7.0%, 7.0%-13.5%, and >13.5%. During a median follow-up of 44.4 months (interquartile range [IQR], 22.6-63.3 months), 31 (8.3%) participants died. In univariate analyses, FBG variability was associated with an increased all-cause mortality (hazard ratio [HR]: 3.00, 95% confidence interval [CI]: 1.67, 5.38; p < .001). This association remained materially unchanged in the multivariable model adjusted for components of demographics, cardiovascular history and lifestyle, hospital information, immunosuppressive therapy, and post-transplant renal function (HR: 2.75, 95% CI: 1.43, 5.28; p = .004). CONCLUSIONS After heart transplantation, high FBG variability is strongly and independently associated with an increased risk of all-cause mortality. Our findings suggest that FBG variability is a novel risk factor and prognostic marker for heart transplantation recipients in outpatient clinic.
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Affiliation(s)
- Qiang Zheng
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xing Liu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongwen Lan
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiannan Guo
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tixiusi Xiong
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kan Wang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chen Jiang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guohua Wang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Nianguo Dong
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiawei Shi
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Lu Y, Wang W, Tang Z, Chen L, Zhang M, Zhang Q, Wu L, Jiang J, Zhang X, He C, Peng H. A Prediction Model for Rapid Identification of Ischemic Stroke: Application of Serum Soluble Corin. J Multidiscip Healthc 2022; 15:2933-2943. [PMID: 36582588 PMCID: PMC9792811 DOI: 10.2147/jmdh.s395896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
Objective Rapid identification is critical for ischemic stroke due to the very narrow therapeutic time window. The objective of this study was to construct a diagnostic model for the rapid identification of ischemic stroke. Methods A mixture population constituted of patients with ischemic stroke (n = 481), patients with hemorrhagic stroke (n = 116), and healthy individuals from communities (n = 2498) were randomly resampled into training (n = 1547, mean age: 55 years, 44% males) and testing (n = 1548, mean age: 54 years, 43% males) samples. Serum corin was assayed using commercial ELISA kits. Potential risk factors including age, sex, education level, cigarette smoking, alcohol consumption, obesity, blood pressure, lipids, glucose, and medical history were obtained as candidate predictors. The diagnostic model of ischemic stroke was developed using a backward stepwise logistic regression model in the training sample and validated in the testing sample. Results The final diagnostic model included age, sex, cigarette smoking, family history of stroke, history of hypertension, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, fasting glucose, and serum corin. The diagnostic model exhibited good discrimination in both training (AUC: 0.910, 95% CI: 0.884-0.936) and testing (AUC: 0.907, 95% CI: 0.881-0.934) samples. Calibration curves showed good concordance between the observed and predicted probability of ischemic stroke in both samples (all P>0.05). Conclusion We developed a simple diagnostic model with routinely available variables to assist rapid identification of ischemic stroke. The effectiveness and efficiency of this model warranted further investigation.
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Affiliation(s)
- Ying Lu
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Weiqi Wang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Zijie Tang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Linan Chen
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Min Zhang
- Department of Central Office, Suzhou National New and Hi-tech Industrial Development Zone Center for Disease Control and Prevention, Suzhou, People’s Republic of China
| | - Qiu Zhang
- Department of Chronic Disease, Gusu Center for Disease Control and Prevention, Suzhou, People’s Republic of China
| | - Lei Wu
- Department of Maternal and Child Health, Suzhou Industrial Park Center for Disease Control and Prevention, Suzhou, People’s Republic of China
| | - Jun Jiang
- Department of Tuberculosis Control, Suzhou Center for Disease Control and Prevention, Suzhou, People’s Republic of China
| | - Xiaolong Zhang
- Department of Tuberculosis Control, Suzhou Center for Disease Control and Prevention, Suzhou, People’s Republic of China
| | - Chuan He
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Hao Peng
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People’s Republic of China,Department of Tuberculosis Control, Suzhou Center for Disease Control and Prevention, Suzhou, People’s Republic of China,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, People’s Republic of China,Correspondence: Hao Peng; Chuan He, Department of Epidemiology, School of Public Health, Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, 215123, People’s Republic of China, Tel +86 512 6588 0079, Email ;
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6
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Yu Q, Mao X, Fu Z, Luo S, Huang Q, Chen Q, Li S, Zhang J, Qiu Y, Wu Y, Fang P, Hong D, Lin J. Fasting blood glucose as a predictor of progressive infarction in men with acute ischemic stroke. J Int Med Res 2022; 50:3000605221132416. [PMID: 36271599 PMCID: PMC9597044 DOI: 10.1177/03000605221132416] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Objective Blood glucose is related to early neurological deterioration in acute
ischemic stroke, but multiple mechanisms are involved in early neurological
deterioration, such as progressive infarction. This study aimed to determine
whether fasting blood glucose (FBG) is an independent predictor of
progressive infarction. Methods From April 2017 to December 2020, we retrospectively enrolled 477 patients
with acute ischemic stroke within 48 hours of onset. Demographic
characteristics, clinical information, neuroimaging characteristics, and
laboratory data were collected after admission. Results We found that 147 (30.8%) patients had progressive infarction. Multiple
regression analysis showed that high FBG concentrations (>7.66 mmol/L)
were independently associated with progressive infarction. Sex subgroup
analysis showed that high FBG concentrations were an independent predictor
of progressive infarction in male patients (odds ratio, 2.559; 95%
confidence interval, 1.279–5.121). In a receiver operating characteristic
curve analysis, FBG concentrations were a predictor of progressive
infarction in all cases, especially in male patients. The cutoff value of
FBG in all patients and men was 7.155 mmol/L. Conclusions FBG is an independent predictor of progressive infarction in patients with
acute ischemic stroke within 48 hours of onset, especially in men. Patients
with FBG concentrations ≥7.155 mmol/L are more likely to develop progressive
infarction.
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Affiliation(s)
- Qiulong Yu
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Xiaocheng Mao
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Zhihui Fu
- Department of General Medicine, First Affiliated Hospital of
Nanchang University, Nanchang, Jiangxi, China
| | - Si Luo
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Qin Huang
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Qianxi Chen
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Shumeng Li
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Jinchong Zhang
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Yuexin Qiu
- Jiangxi Province Key Laboratory of Preventive Medicine, School
of Public Health, Nanchang University, Nanchang, Jiangxi, China
| | - Yuhang Wu
- Jiangxi Province Key Laboratory of Preventive Medicine, School
of Public Health, Nanchang University, Nanchang, Jiangxi, China
| | - Pu Fang
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Daojun Hong
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China
| | - Jing Lin
- Department of Neurology, First Affiliated Hospital of Nanchang
University, Nanchang 330000, Jiangxi, China, Jing Lin, Department of Neurology, First
Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Road, Dong’hu
District, Nanchang 330000, China.
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Madsen TE, Samaei M, Pikula A, Yu AYX, Carcel C, Millsaps E, Yalamanchili RS, Bencie N, Dula AN, Leppert M, Rundek T, Dreyer RP, Bushnell C. Sex Differences in Physical Activity and Incident Stroke: A Systematic Review. Clin Ther 2022; 44:586-611. [PMID: 35418311 PMCID: PMC9195871 DOI: 10.1016/j.clinthera.2022.02.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 02/03/2022] [Accepted: 02/12/2022] [Indexed: 12/25/2022]
Abstract
PURPOSE Physical inactivity, a modifiable risk factor for cardiovascular disease, is independently associated with stroke. Though some prior data have suggested sex differences in levels of physical activity, whether there are sex differences in the role of physical activity in primary stroke prevention is largely unknown. This systematic review identifies and describes recent findings on sex differences in the association between physical activity and incident (first-ever) stroke. This review also describes the current evidence on the strength of the association between physical activity and a reduced stroke risk in women in particular. METHODS Using a prespecified strategy, PubMed/MEDLINE and Cochrane Central were searched to identify observational studies or trials published from 2000 to 2020 and reporting sex differences in physical activity and incident stroke. To be included, among other criteria, studies had to include sex-specific effect estimates from women, men, or both. Titles, abstracts, and full-text articles were screened to identify studies meeting the inclusion criteria, and adjusted sex-specific estimates of the association between physical activity and incident stroke for total stroke (ischemic plus hemorrhagic) or ischemic stroke were abstracted. FINDINGS Thirty-seven studies met the inclusion criteria. Of 17 studies that included data on total incident stroke (ischemic and hemorrhagic combined) in both women and men, 7 (41%) showed similar associations between physical activity and incident stroke between women and men, 6 (35%) suggested a significant effect in women but not in men, and 3 (18%) showed a significant effect in men but not in women. Of 10 studies that included data on ischemic stroke in women and men, 5 (50%) suggested similar effects in women and men, 4 (40%) suggested a significant effect in women but not in men, and 1 (10%) showed an effect in men but not women. In women specifically, the majority of included studies demonstrated a reduced risk for incident stroke with physical activity, with relative risk reductions ranging from 11% to 72%, though most estimates fell between 20% and 40%. IMPLICATIONS The majority of studies indicated a clear association between physical activity and a reduction in stroke risk. Studies were split as to the potential for sex differences in this association. Future prospective investigations should identify strategies for the use of increased physical activity for primary stroke prevention, with sex-specific considerations as warranted. The data on sex-specific dose-response relationship between physical activity and stroke risk are inconclusive and warrant more research.
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Affiliation(s)
- Tracy E Madsen
- Department of Emergency Medicine, Warren Alpert Medical School, and the Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
| | - Mehrnoosh Samaei
- Department of Emergency Medicine, Division of Sex and Gender in Emergency Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Aleksandra Pikula
- Department of Medicine (Neurology), University of Toronto, University Health Networks, Toronto, Ontario, Canada
| | - Amy Y X Yu
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Cheryl Carcel
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | | | | | - Nicole Bencie
- Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Adrienne N Dula
- Departments of Neurology and Diagnostic Medicine, Dell Medical School, University of Texas, Austin, Texas
| | - Michelle Leppert
- Department of Neurology, University of Colorado School of Medicine, Aurora, Colorado
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, Florida
| | - Rachel P Dreyer
- Center for Outcomes Research and Evaluation, Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Cheryl Bushnell
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Liraglutide Ameliorates Cerebral Ischemia in Mice via Antipyroptotic Pathways. Neurochem Res 2022; 47:1904-1916. [DOI: 10.1007/s11064-022-03574-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 03/03/2022] [Accepted: 03/08/2022] [Indexed: 10/18/2022]
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Abstract
Women face a disproportionate burden of stroke mortality and disability. Biologic sex and sociocultural gender both contribute to differences in stroke risk factors, assessment, treatment, and outcomes. There are substantial differences in the strength of association of stroke risk factors, as well as female-specific risk factors. Moreover, there are differences in presentation, response to treatment, and stroke outcomes in women. This review outlines current knowledge of impact of sex and gender on stroke, as well as delineates research gaps and areas for future inquiry.
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Affiliation(s)
- Kathryn M. Rexrode
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Tracy E. Madsen
- Division of Sex and Gender in Emergency Medicine, Department of Emergency Medicine, Warren Alpert Medical School of Brown University, Providence, RI; Department of Epidemiology, Brown University School of Public Health, Providence RI
| | - Amy Y. X. Yu
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Cheryl Carcel
- Neurology Program, The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Judith H. Lichtman
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT
| | - Eliza C. Miller
- Division of Stroke and Cerebrovascular Disease, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
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