中老年人体力活动与血脂异常风险的关系

胡佳康; 戈琼; 赖文浩; 罗时文; 卢曲琴

doi:10.16462/j.cnki.zhjbkz.2024.09.004

中老年人体力活动与血脂异常风险的关系

doi: 10.16462/j.cnki.zhjbkz.2024.09.004

胡佳康^{1, 2},
戈琼^{1, 2},
赖文浩^{1, 2},
罗时文³,
卢曲琴^{1, 2, ,}

1.
南昌大学公共卫生学院流行病与卫生统计学系，南昌 330006
2.
疾病预防与公共卫生江西省重点实验室，南昌 330006
3.
南昌大学第一附属医院医学科研中心精准病理和智能诊断江西省重点实验室，南昌 330006

基金项目:

国家自然科学基金地区项目 32260143

江西省重点研发计划 20202BBG72003

详细信息

通讯作者:
卢曲琴，E-mail：quqinlu@ncu.edu.cn

中图分类号: R181.3;R589.2
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- 文章访问数: 80
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- 被引次数: 0
出版历程
- 收稿日期: 2023-12-28
- 修回日期: 2024-05-16
- 网络出版日期: 2024-10-24
- 刊出日期: 2024-09-10

Relationship between physical activity and risk of dyslipidemia in middle-aged and elderly population

HU Jiakang^{1, 2},
GE Qiong^{1, 2},
LAI Wenhao^{1, 2},
LUO Shiwen³,
LU Quqin^{1, 2
, ,}

1.
Department of Epidemic and Health Statistics, School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
2.
Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang University, Nanchang 330006, China
3.
Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Center for Experimental Medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China

Funds:

Regional Project of National Natural Science Foundation of China 32260143

Key R&D Program of Jiangxi Province 20202BBG72003

More Information

Corresponding author: LU Quqin, E-mail: quqinlu@ncu.edu.cn

摘要

摘要: 目的对2020年中国健康与养老追踪调查(China health and retirement longitudinal study, CHARLS)数据库的数据进行分析，探究中国中老年人群血脂异常现状，揭示体力活动与血脂异常患病风险的关系，为中国中老年人群血脂异常相关政策的制定提供依据。方法本研究纳入45~74岁信息完整的研究对象12 132名，按照体力活动进行四分位数分组后，采用logistic回归分析模型分析中老年人体力活动与血脂异常患病风险之间的关系，将患有其他慢性病的研究对象排除后进行敏感性分析。结果 12 132名研究对象中，血脂异常者1 187人，检出率为9.78%(95% CI: 9.26%~10.31%)。在调整混杂因素后，中老年人高水平体力活动组相较于低水平体力活动组的血脂异常患病风险降低(OR=0.796, 95% CI: 0.668~0.950)，敏感性分析结果一致(OR=0.734, 95% CI: 0.571~0.944)。结论高水平体力活动可降低中老年人的血脂异常患病风险，提示增强体力活动可作为促进中老年人群心脑血管健康的有利手段。
- 血脂异常 /
- 体力活动 /
- 中老年人 /
- 中国健康与养老追踪调查 /
- Logistic回归分析模型
Abstract: Objective The 2020 survey data from the China health and retirement longitudinal study (CHARLS) were analyzed to investigate the current status of dyslipidemia among the middle-aged and elderly population in China, and to reveal the relationship between physical activity and the risk of dyslipidemia. It will provide a reference for the formulation of policies related to dyslipidemia in this demographic. Methods This study included 12 132 middle-aged and elderly individuals aged 45 to 74 with complete information. Participants were divided into quartile groups based on their level of physical activity. We used a logistic regression model to analyze the relationship between physical activity and the risk of dyslipidemia among the middle-aged and elderly adults, and conducted a sensitivity analysis after excluding participants with other chronic diseases. Results Among the 12 132 participants, 1 187 had dyslipidemia, with a detection rate of 9.78% (95% CI: 9.26%-10.31%). After adjusting for confounders, middle-aged and elderly individuals in the high-level physical activity group have a reduced risk of dyslipidemia compared to the low-level physical activity group (OR=0.796, 95% CI: 0.668-0.950), consistent with the results of the sensitivity analysis (OR=0.734, 95% CI: 0.571-0.944). Conclusions High-level physical activity can reduce the risk of dyslipidemia in middle-aged and elderly people, so strengthening physical activity can be used as a favorable means to promote cardiovascular and cerebrovascular health in middle-aged and elderly people.
- Dyslipidemia /
- Physical activity /
- Middle-aged and elderly /
- China health and retirement longitudinal survey /
- Logistic regression model

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图 1 研究对象纳入和排除流程图

Figure 1. Flowchart for inclusion and exclusion of participants

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表 1 变量定义说明

Table 1. The definition of variables

变量Variable	定义Definition
体力活动/MET-(min·周^-1) Physical activity/MET-(min·week^-1)	1=(≤840.00); 2=(＞840.00~2 467.50); 3=(＞2 467.50~5 617.50); 4=(>5 617.50)
社会人口学特征变量Sociodemographic characteristic variables
年龄/岁Age/years	连续型变量Continuous variable
性别Gender	1=男性Male; 2=女性Female
婚姻状况Marital status	1=已婚Married; 2=其他(离异、丧偶、未婚) Other(divorced, widowed, unmarried)
居住地类型Residence category	1=农村Rural; 2=城市Urban
健康相关行为变量Health-related behavioral variables
吸烟情况Smoking status	0=不吸烟(含戒烟) Does not smoke(including those who have quit); 1=吸烟Smoke
饮酒情况Drinking status	0=否No; 1=是Yes
夜间睡眠时间Nighttime sleep duration/h	1=(≤6); 2=(＞6~7); 3=(>7)
血脂异常患病情况Dyslipidemia prevalence	0=由医生诊断为无血脂异常Diagnosed by a physician as having no dyslipidemia; 1=由医生诊断为血脂异常Diagnosed by a physician as having dyslipidemia

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表 2 血脂异常组和无血脂异常组的基本情况

Table 2. Basic characteristics of dyslipidemia group and non-dyslipidemia group

变量 Variable	总体 Total^① (n=12 132)	无血脂异常 No dyslipidemia^① (n=10 945)	血脂异常 Dyslipidemia^① (n=1 187)	χ²/Z值 value	P值 value
年龄/岁Age/years				16.935	< 0.001
45~＜60	5 880(48.47)	5 372(91.36)	508(8.64)
60~74	6 252(51.53)	5 573(89.14)	679(10.86)
性别Gender				16.179	< 0.001
男性Male	5 772(47.58)	5 273(91.35)	499(8.65)
女性Female	6 360(52.42)	5 672(89.18)	688(10.82)
婚姻状况Marital status				6.923	0.010
已婚Married	10 821(89.19)	9 789(90.46)	1 032(9.54)
其他(离异、丧偶、未婚) Other(divorced, widowed, unmarried)	1 311(10.81)	1 156(88.18)	155(11.82)
居住地类型Residence				11.613	0.001
农村Rural	8 120(66.93)	7 378(90.86)	742(9.14)
城市Urban	4 012(33.07)	3 567(88.91)	445(11.09)
吸烟情况Smoking status				27.866	< 0.001
不吸烟(含戒烟) Does not smoke(including those who have quit)	8 821(72.71)	7 881(89.34)	940(10.66)
吸烟Smoke	3 311(27.29)	3 064(92.54)	247(7.46)
饮酒情况Drinking status				7.575	0.006
否No	7 515(61.94)	6 736(89.63)	779(10.37)
是Yes	4 617(38.06)	4 209(91.16)	408(8.84)
夜间睡眠时间Nighttime sleep duration/h				34.370	< 0.001
≤6	7 069(58.27)	6 285(88.91)	784(11.09)
＞6~7	2 220(18.30)	2 030(91.44)	190(8.56)
>7	2 843(23.43)	2 630(92.51)	213(7.49)
体力活动/MET-(min·周^-1) Physical activity/MET-(min·week^-1)	2 467.50(840.00, 5 617.50)	2 467.50(840.00, 5 625.00)	2 016.00(840.00, 4 917.00)	3.735	< 0.001
注：①以人数(占比/%)或M(P₂₅, P₇₅)表示。 Note：① Number of people (proportion/%) or M(P₂₅, P₇₅).

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表 3 体力活动与血脂异常风险的logistic回归分析

Table 3. Logistic regression model results of physical activity and risk of dyslipidemia

体力活动/MET-(min·周^-1) Physical activity/MET-(min·week^-1)	样本量 Sample size	模型1 Model 1		模型2 Model 2		模型3 Model 3
体力活动/MET-(min·周^-1) Physical activity/MET-(min·week^-1)	样本量 Sample size	OR值value (95% CI)	P值 value	OR值value (95% CI)	P值 value	OR值value (95% CI)	P值 value
Q1(低水平组)(low-level group)	2 518	1.000		1.000		1.000
Q2(较低水平组)(lower-level group)	2 770	1.034 (0.870~1.231)	0.702	1.012 (0.850~1.206)	0.893	1.005 (0.843~1.197)	0.959
Q3(较高水平组)(higher-level group)	3 219	0.910 (0.767~1.081)	0.282	0.907 (0.763~1.078)	0.266	0.896 (0.754~1.065)	0.212
Q4(高水平组)(high-level group)	3 625	0.746 (0.627~0.888)	0.001	0.796 (0.668~0.948)	0.011	0.796 (0.668~0.950)	0.011
注：模型1未经调整；模型2在模型1的基础上调整了年龄、性别、婚姻状况、居住地类型；模型3在模型2的基础上调整了吸烟情况、饮酒情况、夜间睡眠时间。 Note：Model 1 unadjusted; Model 2 adjusted for age, gender, marital status and residence category based on model 1; Model 3 adjusted for smoking status, drinking status and nighttime sleep duration based on model 2.

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表 4 体力活动与血脂异常风险的敏感性分析

Table 4. Sensitivity analysis of physical activity and risk of dyslipidemia

体力活动/MET-(min·周^-1) Physical activity/MET-(min·week^-1)	样本量 Sample size	模型1 Model 1		模型2 Model 2		模型3 Model 3
体力活动/MET-(min·周^-1) Physical activity/MET-(min·week^-1)	样本量 Sample size	OR值value (95% CI)	P值 value	OR值value (95% CI)	P值 value	OR值value (95% CI)	P值 value
Q1(低水平组)(low-level group)	1 777	1.000		1.000		1.000
Q2(较低水平组)(lower-level group)	1 942	0.953 (0.744~1.220)	0.702	0.917 (0.716~1.177)	0.496	0.907 (0.707~1.163)	0.440
Q3(较高水平组)(higher-level group)	2 289	0.923 (0.727~1.173)	0.510	0.907 (0.714~1.154)	0.425	0.891 (0.700~1.134)	0.346
Q4(高水平组)(high-level group)	2 530	0.691 (0.539~0.886)	0.004	0.739 (0.575~0.950)	0.018	0.734 (0.571~0.944)	0.016
注：模型1未经调整；模型2在模型1的基础上调整了年龄、性别、婚姻状况、居住地类型；模型3在模型2的基础上调整了吸烟情况、饮酒情况、夜间睡眠时间。 Note: Model 1 unadjusted; Model 2 adjusted for age, gender, marital status and residence category based on model 1; Model 3 adjusted for smoking status, drinking status and nighttime sleep duration based on model 2.

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