%0 Journal Article
%T 睡眠时间与前列腺癌发病风险关系前瞻性研究的Meta分析
Relationship between Sleep Duration and the Risk of Prostate Cancer: A Dose-Response Meta-Analysis of Cohort Studies
%A 桂永燕
%A 王新帅
%A 高社干
%J Nursing Science
%P 100-108
%@ 2168-5614
%D 2020
%I Hans Publishing
%R 10.12677/NS.2020.92017
%X 目的:探究睡眠时间与前列腺癌发病风险的关系,分析睡眠时间与前列腺癌发病风险的剂量反应关系。方法:计算机检索PubMed、Cochrane图书馆数据库至2018-06-18有关睡眠时间与前列腺癌发病风险的前瞻性队列研究,提取调整混杂因素后的相关数据,采用Stata14.0对数据进行常规Meta分析和剂量反应Meta分析。结果:共纳入5个研究,Meta分析结果显示,与正常组比较,睡眠时间过长组前列腺癌发病风险下降11% (RR = 0.89, (95%CI = 0.82, 0.97), P < 0.001),睡眠时间过短组与前列腺癌发病风险无关 (RR = 0.95, (95%CI = 0.90, 1.002))。剂量反应Meta分析结果显示,睡眠时间在4~7.5 h/晚对前列腺癌的风险没有显著变化,当睡眠持续时间 > 7.5 h/晚时,前列腺癌的风险呈下降趋势。结论:睡眠时间4~7.5 h/晚对低前列腺癌发病风险的影响不明显,睡眠时间 ≥ 9 h/晚,前列腺癌的发病风险下降11%。
Objective: To explore the relationship between sleep time and prostatic cancer onset risk, analyze the dose-response relationship between sleep time and prostatic cancer onset risk. Method: Prospective cohort study on sleep time and prostatic cancer onset risk by computer retrieval of PubMed and Cochrane library databases as of June 18, 2018, extract relative data after adjusting confounding factors and conduct general Meta analysis and dose response Meta analysis by Stata14.0. Result: Meta analysis results showed that prostatic cancer onset risk decreased 11% (RR = 0.89, (95%CI = 0.82, 0.97), P < 0.001) in group of shorter sleep time compared with that of control group in five studies. There was no relation with prostatic cancer onset risk in the group with shorter time (RR = 0.95, (95%CI = 0.90, 1.002)). Meta analysis of dose-response indicated that sleep time at 4 - 7.5 h/night had no obvious change in prostatic cancer onset risk; when continuous sleep time was more than 7.5 h/night, prostatic cancer onset risk trended to decrease. Conclusion: Effect of sleep time 4 - 7.5 h/night on prostatic cancer onset risk was not obvious; when sleep time was no less than 9 h/night, prostatic cancer onset risk decreased by 11%.
%K 前列腺癌,睡眠时间,前瞻性研究,Meta分析
Prostatic Cancer
%K Sleep Duration
%K Perspective Study
%K Meta Analysis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=34819