首页|期刊导航|中国卒中杂志|不同心脑血管疾病风险人群身体活动与自评健康状况的关系研究

不同心脑血管疾病风险人群身体活动与自评健康状况的关系研究OA

Association between Physical Activity and Self-Rated Health Status in Populations with Different Cardiovascular and Cerebrovascular Disease Risk Levels

中文摘要英文摘要

目的 探讨不同心脑血管疾病风险人群身体活动与自评健康的关系,为精准健康干预提供科学依据. 方法 采用横断面研究设计,基于中国动脉粥样硬化性心血管疾病风险预测(prediction for atherosclerotic cardiovascular disease risk in China,China-PAR)模型评估上海市静安区35~75岁研究对象的10年心脑血管疾病风险,将研究对象分为中低风险(10年心脑血管疾病风险<10%)组和高风险(10年心脑血管疾病风险≥10%)组.采用欧洲视觉模拟评分法(EuroQol visual analogue scale,EQ-VAS)评估自评健康状况.采用国际体力活动问卷长卷收集研究对象近7 d内的身体活动(休闲活动、家务活动、交通活动、总活动量)数据、静坐时间、屏幕时间和睡眠时间.采用Spearman秩相关分析各项身体活动指标与EQ-VAS评分的相关性.考虑到总活动量为3类分项活动的累积指标,屏幕时间可视为静坐时间的重要组成部分,为分别探究3类分项活动与累积活动的效应差异及屏幕时间与总静坐时间的独立贡献,分别在中低风险和高风险人群中构建4个多因素线性回归模型(静坐时间+3类分项活动、静坐时间+总活动量、屏幕时间+3类分项活动、屏幕时间+总活动量),并校正性别、受教育程度、饮酒、慢性病、BMI等混杂因素. 结果 根据China-PAR模型对2410名研究对象进行1 0年心脑血管疾病风险评估,共检出中低风险人群2198名(91.20%),高风险人群212名(8.80%).中低风险人群中男性853名(38.81%),高风险人群中男性189名(89.15%),高风险人群中男性比例更高.相较于中低风险人群,高风险人群的EQ-VAS评分更低、年龄更大、受教育程度更低、饮酒比例更高、有慢性病比例更高、BMI更高、家务活动量和总活动量更少、睡眠时间更长(均P<0.05),其他指标在两组间的差异无统计学意义.Spearman秩相关分析显示,高风险人群中交通活动与EQ-VAS评分呈负相关(rs=-0.154,P=0.025).多因素线性回归分析显示,中低风险人群中,慢性病在4个模型中均与EQ-VAS评分呈负相关(β=-3.921~-3.876,均P<0.001),总活动量在模型2和模型4中与EQ-VAS评分呈正相关(β=0.377~0.381,均P<0.05);高风险人群中,交通活动在模型1和模型3中与EQ-VAS评分呈负相关(β=-1.058~-0.975,均P<0.05),休闲活动在模型1和模型3中(β=0.873~1.105,均P<0.05)、屏幕时间在模型3和模型4中(β=1.415~1.438,均P<0.05)与EQ-VAS评分呈正相关,睡眠时间仅在模型1中与EQ-VAS评分呈正相关(β=6.947,P=0.038),男性在4个模型中均与EQ-VAS评分呈负相关(β=-6.242~-5.517,均P<0.05). 结论 不同心脑血管疾病风险人群中,身体活动与自评健康的关系存在显著异质性.中低风险人群中,慢性病管理和总活动量累积对维护健康具有重要作用;高风险人群中,休闲活动和屏幕时间与自评健康呈正相关,交通活动与自评健康呈负相关,且男性自评健康显著更差.心脑血管疾病防控应根据人群风险层级采取差异化干预策略,高风险人群需关注身体活动对自评健康的复杂影响,并将男性作为重点干预对象.

Objective To investigate the association between physical activity and self-rated health in populations with different cardiovascular and cerebrovascular disease risk levels,and to provide a scientific basis for precise health interventions. Methods A cross-sectional study design was adopted.The 10-year risk of cardiovascular and cerebrovascular diseases was assessed using the prediction for atherosclerotic cardiovascular disease risk in China(China-PAR)model among participants aged 35-75 years in Jing'an District,Shanghai.They were divided into a low-to-moderate risk group(10-year cardiovascular and cerebrovascular disease risk<10%)and a high-risk group(10-year cardiovascular and cerebrovascular disease risk ≥ 10%).Self-rated health status was evaluated using the EuroQol visual analogue scale(EQ-VAS).Data on physical activity(including leisure-time activity,household activity,transport activity,and total physical activity),sedentary time,screen time,and sleep time over the past seven days were collected using the long-form international physical activity questionnaire.Spearman rank correlation analysis was used to analyze the correlations between various physical activity indicators and the EQ-VAS score.Considering that total physical activity is a cumulative indicator of the three types of activities,and screen time can be regarded as an important component of sedentary time,four multivariate linear regression models(sedentary time+three types of activities,sedentary time+total physical activity,screen time+three types of activities,screen time+total physical activity)were constructed separately for the low-to-moderate risk and high-risk populations to explore the differential effects of individual activities versus cumulative activity,and the independent contributions of screen time versus total sedentary time.All models were adjusted for confounding factors such as gender,education level,alcohol consumption,chronic diseases,and BMI. Results Using the China-PAR model,the 10-year risk of cardiovascular and cerebrovascular diseases was assessed among 2410 participants,identifying 2198(91.20%)as low-to-moderate risk and 212(8.80%)as high risk.There were 853 males(38.81%)in the low-to-moderate risk group and 189 males(89.15%)in the high-risk group,indicating a higher proportion of males in the high-risk group.Compared with the low-to-moderate risk group,the high-risk group exhibited lower EQ-VAS scores,older age,lower education levels,higher proportion of alcohol consumption,higher prevalence of chronic diseases,higher BMI,less household activity and total physical activity,and longer sleep time(all P<0.05),with no significant differences in other indicators.Spearman rank correlation analysis showed that transport activity was negatively correlated with EQ-VAS scores in the high-risk group(rs=-0.154,P=0.025).Multivariate linear regression analysis revealed that in the low-to-moderate risk group,chronic disease was negatively associated with EQ-VAS scores in the four models(β=-3.921 to-3.876,all P<0.00 1),while total physical activity was positively associated with EQ-VAS scores in Model 2 and Model 4(β=0.377 to 0.381,all P<0.05).In the high-risk group,transport activity was negatively associated with EQ-VAS scores in Model 1 and Model 3(β=-1.058 to-0.975,all P<0.05),while leisure-time activity in Model 1 and Model 3(β=0.873 to 1.105,all P<0.05)and screen time in Model 3 and Model 4(β=1.415 to 1.438,all P<0.05)were positively associated with EQ-VAS scores.Sleep duration was positively correlated with EQ-VAS scores only in Model 1(β=6.947,P=0.038).Males were negatively associated with EQ-VAS scores in the four models(β=-6.242 to-5.517,all P<0.05). Conclusions The association between physical activity and self-rated health exhibits significant heterogeneity across populations with different cardiovascular and cerebrovascular disease risk levels.In the low-to-moderate risk population,accumulation of total physical activity and chronic disease management play important roles in maintaining health.In the high-risk population,leisure-time activity and screen time are positively associated with self-rated health,while transport activity is negatively associated,and self-rated health is significantly poorer in males.The prevention and control of cardiovascular and cerebrovascular diseases should adopt differentiated intervention strategies based on population risk levels.For the high-risk population,attention should be paid to the complex effects of physical activity on self-rated health,and males should be prioritized as a key target group for interventions.

褚晓婷;杨晓明;项韵洁;沈怡;张欣;陈洁华;陈传影;黄卫;方嘉列

上海 200072 上海市静安区疾病预防控制中心(上海市静安区卫生健康监督所)生命统计与肿瘤伤害防治科上海 200072 上海市静安区疾病预防控制中心(上海市静安区卫生健康监督所)生命统计与肿瘤伤害防治科上海 201203 上海中医药大学公共健康学院上海 200072 上海市静安区疾病预防控制中心(上海市静安区卫生健康监督所)慢性非传染性疾病监测管理科上海 200072 上海市静安区疾病预防控制中心(上海市静安区卫生健康监督所)慢性非传染性疾病监测管理科上海 200072 上海市静安区疾病预防控制中心(上海市静安区卫生健康监督所)慢性非传染性疾病监测管理科上海 200072 上海市静安区疾病预防控制中心(上海市静安区卫生健康监督所)慢性非传染性疾病监测管理科上海 200072 上海市静安区疾病预防控制中心(上海市静安区卫生健康监督所)上海自然人群队列研究(静安)分中心办公室上海 200072 上海市静安区疾病预防控制中心(上海市静安区卫生健康监督所)中心办公室

医药卫生

心脑血管疾病风险身体活动静坐时间屏幕时间自评健康欧洲视觉模拟评分法

Cardiovascular and cerebrovascular disease riskPhysical activitySedentary timeScreen timeSelf-rated healthEuroQol visual analogue scale

《中国卒中杂志》 2026 (4)

430-438,9

静安区卫生健康科研课题(公共卫生2024GW01公共卫生2024GW02)静安区卫生健康系统优青计划(2024YQ08)

10.3969/j.issn.1673-5765.2026.04.005

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