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Ren Y, Sun K, Rong Y, Song S, Zhai Y, Miao J, Shi H, Xue H, Li Z. Association between daily screen time and risk of stroke among middle-aged and elderly people: research based on China health and nutrition survey. Front Sports Act Living 2023; 5:1307930. [PMID: 38152381 PMCID: PMC10751340 DOI: 10.3389/fspor.2023.1307930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/24/2023] [Indexed: 12/29/2023] Open
Abstract
Background We aimed to explore the independent associations between screen time and the risk of stroke among Chinese adults based on the China Health and Nutrition Survey (CHNS). Methods Data on Chinese adults aged older than 40 years from the CHNS in during 2004-2009 were selected. A total of 4,587 individuals were included in 2009, including screen time and the risk of stroke. Simultaneously, we traced the previous screen time to 2004 for those with outcome measures in 2009 (n = 2,100). Basic information, lifestyle, and screen behavior were obtained through face-to-face interviews and self-completed questionnaires. Anthropometric data collected included blood pressure, body weight, height, hip circumference, and waist circumference. Fasting blood was obtained for measurements of lipid and glucose levels. Cross-sectional analysis and cohort analysis were both performed using multivariate logistic regression. Results Of all participants, 3,004 (65.49%) participants spent more than 2 h per day on screen time. Taking the men who spent less than 2 h on screen per day as reference, the crude odds ratio (OR) of the high risk of stroke was 1.53 [95% confidence interval (CI), 1.20-1.95] for the men who spent 2-3 h per day on screen and 2.37 (95% CI, 1.78-3.16) for the men who spent more than 3 h per day on screen. This difference remained significant after adjusting for confounding factors. No association was observed among women. However, in the cohort analysis with screen time in 2006 as the independent variable, the association between screen time and stroke risk was found both in men [OR, 1.83 (95% CI, 1.19-2.82)] and women [OR, 1.48 (95% CI, 1.10-1.99)]). Conclusion We found that the high screen time was associated with an increased stroke risk, which was pronounced in men, warranting a universal need to limit screen time in order to improve health.
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Affiliation(s)
- Yaxin Ren
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Nutrition and Health, Shijiazhuang, Hebei, China
| | - Kejuan Sun
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Department of Clinical Nursing, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yueqing Rong
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Nutrition and Health, Shijiazhuang, Hebei, China
| | - Shiming Song
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Nutrition and Health, Shijiazhuang, Hebei, China
| | - Yijing Zhai
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Nutrition and Health, Shijiazhuang, Hebei, China
| | - Junjie Miao
- School of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Hongmei Shi
- School of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Hongmei Xue
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Nutrition and Health, Shijiazhuang, Hebei, China
| | - Zengning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Nutrition and Health, Shijiazhuang, Hebei, China
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Zhang K, Zhu Z, Peng H, Zhang M, Li H, Wang A, Bu X, Xu T, Zhang Y. Utility of China-PAR stroke equations for predicting 10-year stroke risk in the rural Inner Mongolian population in China. Neurol Res 2022; 44:989-994. [PMID: 35758218 DOI: 10.1080/01616412.2022.2089833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
BACKGROUND The aim of this study is to investigate the capability using the China-PAR stroke equations for predicting 10-year risk of stroke among the Inner Mongolian population in China. METHODS A prospective cohort study was conducted among 2535 rural Inner Mongolian residents from June 2002 to July 2012. Participants were categorized into four subgroups according to their 10-year predicted stroke risks calculated using the China-PAR stroke equations: <5%, 5-9.9%, 10-19.9%, and ≥20%. RESULTS The C-statistic of the China-PAR stroke equations for 10-year stroke was 0.58, and the result from Hosmer-Lemeshow 'goodness-of-fit' test showed that the China-PAR stroke equations fitted the Inner Mongolian women well (χ2 = 11.18, P = 0.192). The adjusted hazard ratios of stroke were 3.86 (95% CI: 1.12-13.29) for 5-9.9% category, 10.37 (95% CI: 2.70-39.84) for 10-19.9% category, and 17.00 (95% CI: 3.54-81.63) for ≥20% category among Inner Mongolian women using the <5% category as reference (P for trend <0.001). However, the China-PAR stroke equations underestimated the 10-year stroke risk in Inner Mongolian men, and the calibration was unsatisfactory (χ2 = 15.82, P = 0.045). CONCLUSION The China-PAR stroke equations have potential predictive ability for 10-year stroke risk in the rural Inner Mongolian women, while it might not suit the rural Inner Mongolian men well. The performance of China-PAR stroke equations in other ethnic groups in China will need to be further evaluated.
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Affiliation(s)
- Kaixin Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Hao Peng
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Mingzhi Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Hongmei Li
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Aili Wang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Xiaoqing Bu
- Department of Epidemiology, School of Public health, Chongqing Medical University, Chongqing, Sichuan, China
| | - Tian Xu
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, China
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Xi Y, Tian Q, Na B, Han K, Duan M, Zhang X, Wang W, Wang Y. Protocol of the Inner Mongolian Healthy Aging Study (IMAGINS): a longitudinal cohort study. BMC Public Health 2022; 22:115. [PMID: 35039022 PMCID: PMC8762848 DOI: 10.1186/s12889-022-12542-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cardiovascular diseases (CVDs) remain the leading cause of premature mortality and burden of diseases in the world. The Inner Mongolia Autonomous Region is located in northern China, constitute 17.66% individuals with Mongolian, which have unique diet and lifestyles. Therefore, the Inner Mongolian Healthy Aging Study (IMAGINS) was designed to explore risk factors for chronic diseases and evaluate the effectiveness of health management on CVDs in population at high-risk. METHODS The IMAGINS is an ongoing and prospective cohort study of men and women aged ≥35 years from Inner Mongolian Autonomous Region, northern China. This study performed in investigating risk factors for CVDs, screening and providing health management strategy for high-risk population of CVDs. The IMAGINS began in September 2015 and scheduled to recruiting and follow-up outcome until 2030. For general population, a long-term follow-up will be conducted every 5 years to collect the information above and data on clinical outcomes. For high-risk population, comprehensive health managements were performed and scheduled to follow-up annually. All IMAGINS participants are followed for incident CVDs and death. DISCUSSION The IMAGINS is designed to increase understanding how cardiovascular-related risk factors contribute to the development of CVDs and the positive effect of health management strategy for high-risk CVD participants. Key features of this study include (i) a carefully characterized cohort between high risk of CVDs and non-high risk population; (ii) detailed measurement of CVDs risk factors and health management strategies for high risk population; (iii) long-term follow-up of CVDs and death. The IMAGINS represents a good research opportunity to investigate clinical and genetic factors in high-risk population, might providing basis for the prevention and control of non-communicable diseases.
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Affiliation(s)
- Yunfeng Xi
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Buqi Na
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Ke Han
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Mingrui Duan
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Xingguang Zhang
- School of Public Health, Inner Mongolia Medical University, Hohhot, 010000, China
| | - Wenrui Wang
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China.
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Petrov A, Rentsenkhuu G, Nota B, Ganzorig E, Regzengombo B, Jagusch S, Henkes E, Henkes H. Initial experience with the novel p64MW HPC flow diverter from a cohort study in unruptured anterior circulation aneurysms under dual antiplatelet medication. Interv Neuroradiol 2021; 27:42-50. [PMID: 32640858 PMCID: PMC7874381 DOI: 10.1177/1591019920939845] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 06/03/2020] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE p64MW HPC is a new low-profile flow diverter with reduced thrombogenicity due to hydrophilic coating. The purpose of this study was to evaluate its safety and efficacy in Mongolian patients under dual antiplatelet therapy. METHODS Consecutive patients with unruptured anterior circulation aneurysms were prospectively enrolled. All patients received aspirin and clopidogrel before and six months after the procedure, followed by lifelong aspirin medication. High platelet reactivity (VerifyNow) did not trigger further action. The safety and efficacy endpoints were clinical outcome and aneurysm occlusion. RESULTS In 29 patients (26 female, median age 57 years), 46 aneurysms (neck width 3.3 mm, fundus diameter 3.7 mm, median) were treated. Dual platelet function inhibition was confirmed in eight patients (28%). The response to Clopidogrel was between 100 and 239 P2Y12 reaction units (VerifyNow) in 13 patients (45%). Non-response to at least one drug was found in 8 of 29 patients (28%). One collapsed p64MW HPC required balloon angioplasty. No other periprocedural thrombus formation occurred. Postprocedural MRI revealed lesions with diffusion restriction in 3 of 29 patients. Digital subtraction angiography after three months for 42 of 46 (91%) aneurysms showed an adequate aneurysm occlusion in 25 (60%). Distal p64MW HPC migration of 3 implants was retreated with another p64MW HPC. Follow-up digital subtraction angiography of 26 of 46 (57%) aneurysms after six months showed adequate aneurysm occlusion in 22 (85%). Significant in-stent stenosis or thrombosis, morbidity or mortality was not encountered. CONCLUSION p64MW HPC implantation in patients under dual antiplatelet therapy with or without dual platelet function inhibition has a low procedural complication rate. The early aneurysm occlusion rate is high.
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Affiliation(s)
- Andrey Petrov
- Vascular Neurosurgery Department,
Russian Polenov Neurosurgical Institute, Branch of National Medical Research
Center “Almazov”, St. Petersburg, Russia
| | | | - Baatarjan Nota
- Department of Angiography, Shastin
Central Hospital, Ulaanbaatar, Mongolia
| | - Erdenebat Ganzorig
- Department of Angiography, Shastin
Central Hospital, Ulaanbaatar, Mongolia
| | | | | | - Elina Henkes
- Neuroradiological Clinic, Klinikum
Stuttgart, Stuttgart, Germany
| | - Hans Henkes
- Neuroradiological Clinic, Klinikum
Stuttgart, Stuttgart, Germany
- University Duisburg-Essen,
Medizinische Fakultät, Essen, Germany
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Liu J, Shi Z, Bai R, Zheng J, Ma S, Wei J, Liu G, Wang Y. Temporal, geographical and demographic trends of stroke prevalence in China: a systematic review and meta-analysis. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1432. [PMID: 33313177 PMCID: PMC7723598 DOI: 10.21037/atm-19-4342] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background China has made large efforts to reduce stroke prevalence. We aimed to systematically examine the prevalence of stroke in China over the past two decades. Methods Databases, including China National Knowledge Infrastructure, Wanfang, VIP, and PubMed, were systematically searched for studies published in English or Chinese that reported stroke prevalence in China during 2000–2017. Meta-analysis was conducted to estimate the pooled stroke prevalence and the variations in stroke prevalence subgroups stratified by age, gender, time period, and region. Results In total, 96 papers met the inclusion criteria. Meta-analysis showed that the overall estimated national prevalence was 5.1% (5.0–5.3%) with large variations across regions: 3.1% (2.5–3.6%) in south China, 3.4% (3.0–3.8%) in southwest China, 3.6% (3.3–3.8%) in east China, 5.0% (4.7–5.4%) in central China, 5.8% (4.6–7.1%) in northwest China, 6.0% (5.0–7.0%) in northeast China, and 8.0% (7.4–8.5%) in north China. Men had a higher prevalence than women [7.3% (6.9–7.7%) vs. 5.6% (5.2–6.0%)]. Stroke prevalence increased with age, was 1.2% (1.0–1.3%), 2.9% (2.6–3.2%), 5.9% (5.2–6.5%), and 8.7% (8.0–9.5%) in the 40–49, 50–59, 60–69, and ≥70 years old groups, respectively. Conclusions Men, people being older, or living in northern China had higher stroke prevalence. More vigorous efforts are needed in China to prevent stroke.
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Affiliation(s)
- Jinli Liu
- School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Zumin Shi
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Ruhai Bai
- School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Jinge Zheng
- School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Shuang Ma
- School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Junxiang Wei
- School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Guangzhi Liu
- Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Youfa Wang
- School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China.,Fisher Institute of Health and Well-Being, Department of Nutrition and Health Sciences, College of Health, Ball State University, Muncie, Indiana, USA
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Sarbazi E, Sarbakhsh P, Savadi Oskooei D, Yazdchi M, Ghaffari-Fam S, Shamshirgaran SM. Factors related to 6-month mortality after the first-ever stroke. JOURNAL OF EDUCATION AND HEALTH PROMOTION 2018; 7:113. [PMID: 30271798 PMCID: PMC6149124 DOI: 10.4103/jehp.jehp_190_17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Accepted: 06/18/2018] [Indexed: 05/29/2023]
Abstract
BACKGROUND AND OBJECTIVE Stroke is the second leading cause of death worldwide and the number of stroke cases has increased remarkably over the last 20 years. This study aimed at identifying predictors of with 6-month mortality of first-ever stroke patients and the factors contributing to it in East Azerbaijan province. MATERIALS AND METHODS A closed cohort study was carried out from April 2014 to December 2014. All cases of first-ever diagnosed stroke were included in the study. Any transient ischemic attack, silent brain infarctions, and the stroke cases which were neither associated with trauma, blood disease nor with malignancy were excluded from the study. The variables of this study include participants' demographic characteristics, stroke severity National Institutes of Health Stroke Scale (NIHSS), and stroke risk factors. Patients were followed up within 6 months. To determine the survival time, the log-rank method was applied to compare intergroup differences. The tests include the univariate and multivariate analysis Cox regression. P < 0.05 were considered as statistically significant. RESULTS A total of 576 cases of stroke were included in this study. Average age of ischemic and hemorrhagic stroke was 70.15 ± 13.0 and 67.79 ± 12.69, respectively. Case-fatality rate (CFR) of stroke patients was 49.2 and 21.7% in hemorrhagic and ischemic stroke types, respectively. Factors contributing to stroke mortality events include the severity of stroke (NIHSS categories 15-19 and ≥20), age over 65, being female, high body mass index and hyperlipidemia. In the final model, the severity of stroke (with NIHSS 15-19 with hazard ratio (HR) 4.22 (95% confidence interval [CI] 2.36-7.56) and NIHSS ≥20 with HR 5.34 (95% CI: 2.81-10.12) and age above 65 with HR 1.61 (95% CI: 1.02-2.51) were the most important predictors of 6-month mortality. CONCLUSION Severity of stroke by NIHSS was the most prominent factor in stroke patients' mortality. By increasing the follow-up time, a better evaluation of the predictors of mortality after stroke can be achieved.
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Affiliation(s)
- Ehsan Sarbazi
- Department of Statistics and Epidemiology, Faculty of Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Parvin Sarbakhsh
- Department of Statistics and Epidemiology, Faculty of Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Daryoush Savadi Oskooei
- Department of Neurology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Yazdchi
- Department of Neurology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Saber Ghaffari-Fam
- Miandoab Health Centre, Urmia University of Medical Sciences, Urmia, Iran
| | - Seyed Morteza Shamshirgaran
- Department of Statistics and Epidemiology, Faculty of Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
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