某高校大学生握力和肺功能的相关性

罗予; 马天; 阙刚; 任喆; 郭君霞; 吴昊

doi:10.16835/j.cnki.1000-9817.2023.08.024

某高校大学生握力和肺功能的相关性

doi: 10.16835/j.cnki.1000-9817.2023.08.024

罗予^{1, 2},
马天³,
阙刚³,
任喆¹,
郭君霞¹,
吴昊^1, ,

1.
首都体育学院运动科学与健康学院, 北京 100191
2.
赣南医学院康复学院
3.
雅安市第四人民医院康复医学科

基金项目:

国家重点研发计划课题项目 2018YFF0300603

详细信息

作者简介:
罗予(1990-), 男, 江西南昌人, 讲师, 博士, 主要研究方向为运动康复

通讯作者:
吴昊, E-mail: wuhao@cupes.edu.cn

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 R322.3⁺5
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- 被引次数: 0
出版历程
- 收稿日期: 2023-05-14
- 修回日期: 2023-06-08
- 网络出版日期: 2023-08-26
- 刊出日期: 2023-08-25

Correlation between handgrip strength and pulmonary function in college students

LUO Yu^{1, 2},
MA Tian³,
QUE Gang³,
REN Zhe¹,
GUO Junxia¹,
WU Hao^{1
, ,}

1.
College of Exercise Science and Health, Capital University of Physical Education and Sports, Beijing (100191), China

摘要

摘要: 目的探讨大学生握力(HGS)与肺功能(PF)的相关性，为确立将HGS作为改善大学生PF的重要因素提供科学依据。方法 2023年3月1—5日，在某高校招募44名大学生为研究对象，参考国际体力活动量表(IPAQ)将其分为久坐组(22人)和运动组(22人)。采用独立样本t检验进行各指标的组间比较，采用Pearson相关分析确定HGS与PF相关程度，采用多元线性回归分析确定PF的预测模型。结果大学生HGS与用力肺活量(FVC)、最大呼气压(MEP)、呼气峰值流量(PEF)、1 s用力呼气量(FEV1)、用力吸气肺活量(FIVC)、最大吸气压(MIP)与吸气峰值流量(PIF)的相关均有统计学意义(r值分别为0.79，0.47，0.44，0.60，0.72，0.53，0.49，P值均＜0.01)。将年龄、身高、体重和HGS作为预测因子纳入回归模型时，身高和HGS对FVC有较好的预测作用(R²=0.75，F=60.55，P＜0.01)，体重和HGS对FIVC有较好的预测作用(R²=0.67，F=41.77，P＜0.01)。结论大学生HGS与PF相关，HGS可以作为预测大学生PF状态的重要指标。
- 久坐生活方式 /
- 握力 /
- 肺 /
- 回归分析 /
- 学生
Abstract: Objective To explore the relationship between handgrip strength (HGS) and pulmonary function (PF) in college students with sedentary lifestyle, so as to provide a reference for taking HGS as an essential factor of PF. Methods In March 1-5, 2023, a total of 44 college students were recruited and were divided into the sedentary group (22) and exercise group (22) according to the International Physical Activity Questionaire (IPAQ), with 22 students in each group. Independent-sample t-test was used to compare the indexes between groups, pearson correlation coefficient was used to determine the correlation between HGS and PF. Multiple linear regression analysis was used to determine the predictive model of PF. Results There were statistical significance of the correlations between HGS and FVC, MEP, PEF, FEV1, FIVC, MIP, and PIF (r=0.79, 0.47, 0.44, 0.60, 0.72, 0.53, 0.49, P < 0.01). When gender, physical activity, age, height, weight, and HGS were included as predictors in the regression model, height and HGS had significant effects on FVC (R²=0.75, F=60.55, P < 0.01), weight and HGS had a good predictive effect on FIVC (R²=0.67, F=41.77, P < 0.01). Conclusion HGS is significantly associated with PF in college students with sedentary lifestyle. Therefore, HGS can be used as an important indicator to predict the PF status of habitual sedentary college students.
- Sedentary life style /
- Hand strength /
- Lung /
- Regression analysis /
- Students
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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表 1 不同组别大学生人体测量基本特征、HGS和PF比较(x±s)

Table 1. Comparison of anthropometric characteristics, HGS, and PF among different groups of college students(x±s)

组别	选项	人数	统计值	年龄/岁	身高/cm	体重/kg	HGS/kg	FVC/mL	MEP/cmH₂0
性别	男	22		20.86±1.78	176.34±5.31	73.07±7.67	45.25±8.98	4 575.41±724.66	62.19±34.32
	女	22		20.45±1.26	165.16±6.64	54.38±7.35	28.60±5.77	3 243.91±655.69	42.05±27.15
			t值	0.88	6.16	8.26	7.32	6.39	2.16
			P值	0.38	＜0.01	＜0.01	＜0.01	＜0.01	0.04
体力活动水平	久坐组	22		20.45±1.53	168.25±8.95	62.31±13.67	31.39±8.24	3 508.00±874.71	44.20±32.36
	运动组	22		20.86±1.55	173.25±6.68	65.14±10.25	42.46±11.26	4 311.32±883.50	60.03±30.81
			t值	-0.88	-2.10	-0.78	-3.72	-3.03	-1.66
			P值	0.38	0.04	0.44	＜0.01	＜0.01	0.10

组别	选项	人数	统计值	PEF/(L·min^-1)	FEV1/mL	FIVC/mL		MIP/cmH₂0	PIF/(L·min^-1)
性别	男	22		224.87±128.19	2 950.45±1 077.86	4 349.59±914.81		54.47±21.66	199.60±93.29
	女	22		159.37±109.00	2 066.91±1 010.55	2 717.36±551.99		31.74±20.27	126.20±79.86
			t值	1.83	2.81	7.17		3.59	2.80
			P值	0.08	＜0.01	＜0.01		＜0.01	＜0.01
体力活动水平	久坐组	22		157.60±126.00	2 021.50±1 086.50	3 251.50±1 033.00		34.16±20.04	126.86±78.41
	运动组	22		226.64±110.39	2 995.86±956.10	3 815.45±1 141.62		52.05±24.12	198.94±95.05
			t值	-1.93	-3.16	-1.72		-2.68	-2.74
			P值	0.06	＜0.01	0.09		0.01	＜0.01

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表 2 大学生基本人体测量信息、HGS与PF间的Pearson相关分析(n=44，r值)

Table 2. Pearson correlation of basic anthropometric information, HGS and PF among college students(n=44, r)

变量	FVC	MEP	PEF	FEV1	FIVC	MIP	PIF
性别	-0.70^**	-0.32^*	-0.27	-0.40^**	-0.74^**	-0.49^**	-0.40^**
体力活动	0.42^**	0.25	0.29	0.44^**	0.26	0.38^*	0.39^**
年龄	-0.04	-0.12	-0.10	-0.02	-0.07	-0.07	0.06
身高	0.81^**	0.44^**	0.41^**	0.52^**	0.73^**	0.52^**	0.49^**
体重	0.76^**	0.34^*	0.31^*	0.41^**	0.76^**	0.50^**	0.49^**
HGS	0.79^**	0.47^**	0.44^**	0.60^**	0.72^**	0.53^**	0.49^**
注：P＜0.05，*P＜0.01。

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表 3 采用多元线性回归建立的大学生肺功能预测方程及其相关参数(n=44)

Table 3. Pulmonary function prediction equations and related parameters of college students established by multiple linear regression(n=44)

预测方程	R²值	F值	P值
FVC=-7 525.65+59.06×身高+36.60×HGS	0.75	60.55	＜0.01
MEP=2.46+1.35×HGS	0.22	11.86	＜0.01
PEF=15.48+4.78×HGS	0.19	10.11	＜0.01
FEV1=310.46+59.54×HGS	0.35	23.05	＜0.01
FIVC=-907.04+47.40×体重+38.46×HGS	0.67	41.77	＜0.01
MIP=1.83+1.12×HGS	0.28	16.43	＜0.01

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