中国全科医学 ›› 2018, Vol. 21 ›› Issue (13): 1568-1572.DOI: 10.3969/j.issn.1007-9572.2018.13.012

• 专题研究 • 上一篇    下一篇

办公室青年人群心肺功能状态及其影响因素研究

林敏,刘耿星,林艺嫔,张丽君,张丽娟*,熊玉琴   

  1. 361003福建省厦门市,厦门大学附属第一医院心电功能科
    *通信作者:张丽娟,主任医师;E-mail:838908759@qq.com
  • 出版日期:2018-05-05 发布日期:2018-05-05

Analysis of the Status and Influential Factors of Cardiopulmonary Function in Young Office Workers

  1. Electrocardio Function Department,the First Affiliated Hospital of Xiamen University,Xiamen 361003,China
    *Corresponding author:ZHANG Li-juan,Chief physician;E-mail:838908759@qq.com
  • Published:2018-05-05 Online:2018-05-05

摘要: 目的 探讨办公室青年人群心肺功能状态及其影响因素,为改善办公室青年人群生理功能、预防疾病发生提供科学依据。方法 选取2016年5—11月在厦门某电子公司办公室工作、年龄20~45岁的92例青年人为研究对象。采用问卷调查、体格检查及心肺功能评估试验等收集基本信息及心肺功能参数。根据极量运动试验后研究对象的最大摄氧量,将其分为最大摄氧量高组(≥1.67 L/min)和最大摄氧量低组(≤1.64 L/min),每组各45例。比较两组一般资料(包括年龄、性别、体质指数等),采用Pearson相关和偏相关分析探讨一般资料与最大摄氧量的相关性,采用多元线性回归分析探讨最大摄氧量的影响因素。结果 两组性别、体质量指数、静息心率、吸烟指数、饮酒频率、饮酒量、坚持运动者所占比例及日常运动量比较,差异有统计学意义(P<0.05),年龄、睡觉时间点、按时早餐及有焦虑情绪者所占比例比较,差异无统计学意义(P>0.05)。Pearson相关分析结果显示,体质指数、吸烟指数、饮酒频率、饮酒量、睡觉时间点、日常运动量与最大摄氧量呈正相关(P<0.05),静息心率与最大摄氧量呈负相关(P<0.05)。调整年龄、性别、体质指数后,偏相关分析结果显示,日常运动量与最大摄氧量呈正相关(r=0.330,P=0.002),而静息心率与最大摄氧量呈负相关(r=-0.305,P=0.005)。多元线性回归分析结果显示,性别、体质指数、静息心率及日常运动量均为最大摄氧量的影响因素(P<0.05)。结论 办公室青年人群的心肺功能较低,性别、体质指数、静息心率及日常运动量均为最大摄氧量的影响因素。静息心率可初步评估心肺功能,以便指导该人群改善生理功能、预防疾病产生。

关键词: 心肺功能, 最大摄氧量, 青年人, 影响因素分析

Abstract: Objective To explore the cardiopulmonary functional status and related influencing factors among young people working in an office,and provide a scientific basis for improving the physiologic function and preventing diseases in the population.Methods A total of 92 young people 20–45 years of age and engaged in office work in an electronic company in Xiamen City of Fujian Province between May and November 2016 were selected as the study subjects.Basic information and cardiopulmonary parameters were collected using questionnaires,physical examinations,and cardiopulmonary function tests.According to the maximal oxygen uptake of the study subjects after maximum exercise testing,they were divided into a high maximal oxygen uptake group(≥1.67 L/min) and low maximal oxygen uptake group(≤1.64 L/min).Each group consisted of 45 patients.The general indicators including age,gender,body and mass index,and were compared between the two groups.Pearson correlation and partial correlation analysis were used to explore the correlation between general indicators and maximal oxygen uptake.Multivariate linear regression analysis was used to investigate the influencing factors for maximal oxygen uptake.Results There were statistically significant differences in gender,body mass index,resting heart rate,smoking index,frequency and amount of alcohol consumption,percentage of regular exercisers,and daily amount of exercise between the two groups(P<0.05).Age,sleep time,as well as the proportion of subjects having regular breakfast or anxiety mood were not significantly different(P>0.05) between the two groups.Pearson correlation analysis showed that body mass index,smoking index,frequency and amount of alcohol consumption,sleep time,and daily exercise amount were positively correlated with maximal oxygen uptake(P<0.05),and resting heart rate was negatively correlated with maximal oxygen uptake(P<0.05).After adjusting for age,gender,and body mass index,partial correlation analysis showed that there was a positive correlation between the amount of daily exercise and maximal oxygen uptake(r=0.330,P=0.002),whereas resting heart rate was negatively correlated with maximal oxygen uptake(r=-0.305,P=0.005).Multiple linear regression analysis showed that gender,body mass index,resting heart rate,and amount of daily exercise influenced the maximal oxygen uptake(P<0.05).Conclusion Young people working in an office have relatively low cardiopulmonary function.Gender,body mass index,resting heart rate,and amount of daily exercise influence the maximal oxygen uptake.Resting heart rate can be used to preliminarily assess cardiopulmonary function to guide the population and to improve physiology function and prevent disease.

Key words: Cardiopulmonary function, Maximum oxygen uptake volume, Young adult, Root cause analysis