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睡眠时间对女性人群H型高血压患病率的影响研究 被引量:9

Association of Sleep Duration on the Prevalence of H-type Hypertension in Female Population
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摘要 背景 睡眠时间与高血压密切相关,但睡眠时间对女性人群H型高血压的影响尚不十分明确。目的 探讨女性人群中睡眠时间对H型高血压患病率的影响。方法 采用横断面研究的方法,选取2018年12月至2020年12月在湖南省人民医院全科和老年科住院的女性高血压患者1 709例为研究对象。依据H型高血压的诊断标准将研究对象分为H型高血压组〔高血压且同型半胱氨酸(Hcy)≥10 μmol/L〕和非H型高血压组。按照患者自述的近1个月内的平均睡眠时长将患者分为睡眠时间<7、7~8、>8 h三组。采用二分类Logistic回归分析睡眠时间对女性人群H型高血压患病的影响;并进一步将研究对象按年龄分为≤60岁组和>60岁组,采用二分类Logistic回归分析不同年龄女性人群睡眠时间对H型高血压患病的影响。结果 1 709例研究对象中,901例(52.72%)每日睡眠时间<7 h,697例(40.78%)每日睡眠时间为7~8 h,111例(6.50%)每日睡眠时间>8 h。不同睡眠时间女性人群的年龄、文化程度、婚姻状况比较,差异有统计学意义(P<0.05)。1 709例研究对象中,H型高血压患者973例(56.93%),非H型高血压患者736例(43.07%)。H型高血压患者与非H型高血压患者年龄、文化程度、居住地区、婚姻状况、BMI、运动情况、饮酒情况、睡眠时间比较,差异有统计学意义(P<0.05)。二分类Logistic回归分析结果显示,调整年龄、文化程度、居住地区、婚姻状况、体质指数、运动情况等混杂因素后,睡眠时间<7 h的女性H型高血压的风险是睡眠时间7~8 h者的1.291倍〔95%CI为(1.032,1.615),P<0.05〕。进一步按年龄分层后进行二分类Logistic回归分析,结果显示仅在>60岁女性人群中,每日睡眠时间<7 h是H型高血压患病的危险因素〔OR(95%CI)=1.421(1.021,1.978),P<0.05〕。结论 在年龄>60岁的女性人群中,睡眠时间<7 h是H型高血压患病的危险因素,提示老年女性可多关注睡眠健康,以改善血压状况。 Background Sleep duration is strongly associated with hypertension,but its effect on H-type hypertension in female population is not well characterized.Objective The examine the effect of sleep duration on the prevalence of H-type hypertension in female population.Methods A cross-sectional study design was used.One thousand seven hundred and nine female hypertensive inpatients were selected from Department of General Medicine and Geriatric Department of Hunan Provincial People’s Hospital from July 2018 to December 2020,among whom those who with serum Hcy≥10 μmol/L and the others were assigned into H-type hypertension and non-H-type hypertension groups,respectively.Binary Logistic regression was used to assess the correlation of between sleep duration and H-type hypertension across three groups with different self-reported mean daily sleep durations in the past month(<7 h,7-8 h,and >8 h),and to further assess the correlation between the two across by age(≤60 and >60).Results The distribution of age,education level and marital status differed across three groups with different daily sleep durations(P<0.05).901(52.72%)with daily sleep duration of <7 h,697(40.78%)with daily sleep duration of 7-8 h,and 111(6.50%)with daily sleep duration of >8 h.The distribution of age,education level,living area(urban or rural),marital status,BMI,exercise status,and daily sleep duration,as well as prevalence of drinking between H-type hypertension group〔973(56.93%)〕and non-H-type hypertension group〔736(43.07%)〕(P<0.05).The risk of H-type hypertension in those with <7 h of daily sleep duration was 1.291 times higher than that in those with 7-8 h of daily sleep duration〔95%CI(1.032,1.615),P<0.05〕after adjusting for confounding factors such as age,education level,living area,marital status,BMI and exercise status.Further analysis revealed that <7 h of daily sleep duration was associated with increased risk of H-type hypertension only in those aged greater than 60 years〔OR(95%CI)=1.421(1.021,1.978),P<0.05〕.Conclusion Less than 7 h of daily sleep duration was a risk factor for H-type hypertension in female over 60 years old.In view of this,it is suggested to put more attention to sleep health to improve blood pressure in this group.
作者 杜诗虹 洪秀琴 杨一 谢容 张妍楠 DU Shihong;HONG Xiuqin;YANG Yi;XIE Rong;ZHANG Yannan(Clinical Epidemiology Research Office,the First Affiliated Hospital of Hunan Normal University,Changsha 410000,China;Research Department,the First Affiliated Hospital of Hunan Normal University,Changsha 410000,China;Key Laboratory of Molecular Epidemiology,Hunan Normal University,Changsha 410006,China;Department of Epidemiology and Statistics,College of Medicine,Hunan Normal University,Changsha 410006,China)
出处 《中国全科医学》 CAS 北大核心 2023年第1期58-63,共6页 Chinese General Practice
基金 国家自然科学基金资助项目(81773530)——雌激素与血浆同型半胱氨酸的交互作用对H型高血压的影响和血管内皮损伤的机制研究 湖南省自然科学基金资助项目(2020JJ4047)——雌二醇通过GPER1-PI3K-AKT-MTOR通路减轻HCY诱导的内皮自噬及血管损伤作用 长沙市科技项目(kq1801096)——雌激素介导的HSP27在H型高血压中的表达及其分子机制研究。
关键词 H型高血压 睡眠时间 女性健康 年龄 影响因素分析 H-type hypertension Daily sleep duration Female health Age Root cause analysis
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