McDonnell Michelle N, Hillier Susan L, Judd Suzanne E, Yuan Ya, Hooker Steven P, Howard Virginia J
International Centre for Allied Health Evidence, Sansom Institute for Health Research, School of Health Sciences, University of South Australia, Adelaide, Australia.
International Centre for Allied Health Evidence, Sansom Institute for Health Research, School of Health Sciences, University of South Australia, Adelaide, Australia.
Prev Med. 2016 Jun;87:1-5. doi: 10.1016/j.ypmed.2016.02.013. Epub 2016 Feb 13.
The purpose of this study was to explore the relationship between TV/video viewing, as a measure of sedentary behavior, and risk of incident stroke in a large prospective cohort of men and women.
This analysis involved 22,257 participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study who reported at baseline the amount of time spent watching TV/video daily. Suspected stroke events were identified at six-monthly telephone calls and were physician-adjudicated. Cox proportional hazards models were used to examine risk of stroke at follow-up.
During 7.1years of follow-up, 727 incident strokes occurred. After adjusting for demographic factors, watching TV/video ≥4h/day (30% of the sample) was associated with a hazard ratio of 1.37 increased risk of all stroke (95% confidence interval (CI), 1.10-1.71) and incident ischemic stroke (hazard ratio 1.35, CI 1.06-1.72). This association was attenuated by socioeconomic factors such as employment status, education and income.
These results suggest that while TV/video viewing is associated with increased stroke risk, the effect of TV/video viewing on stroke risk may be explained through other risk factors.
本研究旨在探讨作为久坐行为衡量指标的电视/视频观看与大型前瞻性男女队列中卒中发病风险之间的关系。
该分析纳入了来自卒中地理和种族差异原因（REGARDS）研究的22257名参与者，他们在基线时报告了每日观看电视/视频的时长。每六个月通过电话随访确定疑似卒中事件，并由医生进行判定。采用Cox比例风险模型来检验随访期间的卒中风险。
在7.1年的随访期间，发生了727例卒中事件。在调整人口统计学因素后，每天观看电视/视频≥4小时（占样本的30%）与所有卒中风险增加1.37倍（95%置信区间（CI），1.10 - 1.71）以及缺血性卒中发病风险增加相关（风险比1.35，CI 1.06 - 1.72）。这种关联因就业状况、教育程度和收入等社会经济因素而减弱。
这些结果表明，虽然电视/视频观看与卒中风险增加相关，但电视/视频观看对卒中风险的影响可能通过其他风险因素来解释。
