新冠疫情防控下体检人群生活方式及体重变化的调查与分析

陈彤桦; 迟春花; 周国鹏

doi:10.16766/j.cnki.issn.1674-4152.002524

新冠疫情防控下体检人群生活方式及体重变化的调查与分析

doi: 10.16766/j.cnki.issn.1674-4152.002524

北京大学第一医院全科医学科，北京 100034

基金项目:

首都卫生发展科研专项项目首发2018-2-4075

详细信息

通讯作者:
周国鹏，E-mail: zhougp@bjmu.edu.cn

中图分类号: R499 R181.8
计量
- 文章访问数: 309
- HTML全文浏览量: 168
- PDF下载量: 5
- 被引次数: 0
出版历程
- 收稿日期: 2021-12-27
- 网络出版日期: 2022-09-21

Investigation and analysis on the changes of lifestyle and body weight in physical examination population during the novel coronavirus pneumonia epidemic prevention and control stage

Department of General Practice, Peking University First Hospital, Beijing 100034, China

摘要

摘要: 目的探讨新冠疫情防控下体检人群生活方式及健康状况的相关危险因素，为疫情常态化下人群健康干预提供理论依据。方法采用方便取样法，对2021年6—7月于北京大学第一医院体检中心进行健康体检的人员进行问卷调查，使用描述性分析及多元线性回归分析方法，探讨疫情暴发前后人群体重与生活方式变化的关系。结果共纳入392名研究对象，男女比例0. 8∶ 1，年龄为(38.89±12.45)岁，体检人群疫情暴发后体重较前增长(0.84±3.24)kg(t=5.135, P < 0.001)。根据性别、年龄层、职业、学历、婚姻状态、BMI分层等进行分组，结果显示女性(t=4.361, P < 0.001)、青年人群(t=4.660, P < 0.001)、消瘦人群(t=5.231, P < 0.001)、正常体重人群(t=4.378, P < 0.001)、已婚人群(t=4.221, P < 0.001)、职工(t=5.252, P < 0.001)、学历为大学本科人群(t=3.944, P < 0.001)体重增加。多元线性回归分析显示零食摄入量(B=0.440, P=0.015)、谷类摄入量(B=0.830, P=0.001)和起床时间(B=0.430, P=0.041)与体重差值呈正相关，总运动时间(B=-0.353, P=0.033)、果蔬摄入量(B=-0.618, P=0.008)与体重差值呈负相关。结论体检人群疫情暴发后体重较前增加，人群体重增长与饮食、运动、作息等生活方式变化相关，需要关注疫情下健康人群的健康状况并增强健康管理。
- 新冠疫情防控 /
- 公众健康 /
- 生活方式 /
- 健康管理
Abstract: Objective To explore the related risk factors of life style and health status on physical examination population in the epidemic prevention and control stage, so as to provide a theoretical basis for health intervention. Methods Physical examinees who had a health examination in Peking University First Hospital from June to July 2021 were selected by convenient sampling method, and their body weight and lifestyle changes during the epidemic were analysed through descriptive analysis and inferential analysis by multiple linear regression. Results A total of 392 examinees were enrolled, with a male-to-female ratio of 0. 8∶ 1 and an average age of (38.89±12.45) years old. After the outbreak of the epidemic, the body weight of the physical examination population increased by (0.84±3.24) kg (t=5.135, P < 0.001). According to gender, age group, occupation, education, marital status and BMI stratification, we found that female (t=4.361, P < 0.001), young (t=4.660, P < 0.001), underweight (t=5.231, P < 0.001), normal weight (t=4.378, P < 0.001), married (t=4.221, P < 0.001), employed (t=5.252, P < 0.001) and undergraduate population (t=3.944, P < 0.001) had significant weight gain. Multiple linear regression analysis showed that snack intake (B=0.440, P=0.015), cereal intake (B=0.830, P=0.001) and wake-up time (B=0.430, P=0.041) were positively correlated with body weight changes while total exercise time (B=-0.353, P=0.033) and intake of fruit and vegetable (B=-0.618, P=0.008) were negatively correlated with body weight changes. Conclusion The body weight of the examination population increases after the epidemic, which is related to lifestyle changes such as diet, exercise, work and rest status. It is necessary to focus on the health status of healthy people and strengthen health management in regular epidemic prevention and control stage.
- Novel coronavirus pneumonia prevention and control /
- Public health /
- Lifestyle /
- Health management

HTML全文

图 1 疫情暴发前后体检人群体重变化

注：^Δ表示疫情暴发后与疫情暴发前的体重差值；^aP < 0.05。

Figure 1. Changes of body weight in physical examination population before and after the outbreak of pandemic

下载: 全尺寸图片幻灯片

图 2 体检人群疫情暴发前后生活方式变化频率图

Figure 2. Changes of lifestyle in physical examination population before and after the outbreak of pandemic

下载: 全尺寸图片幻灯片

表 1 体重变化与生活方式变化的多元线性回归分析

Table 1. Multiple linear regression analysis of body weight changes and lifestyle changes

项目	B	SE	β	t值	P值
零食摄入量	0.440	0.180	0.123	2.448	0.015
总运动时间	-0.353	0.164	-0.109	-2.144	0.033
谷类摄入量	0.830	0.238	0.175	3.486	0.001
果蔬摄入量	-0.618	0.230	-0.137	-2.682	0.008
起床时间	0.430	0.209	0.104	2.054	0.041

下载: 导出CSV

参考文献(20)

[1]	LEUNG K, WU J T, LIU D, et al. First-wave COVID-19 transmissibility and severity in China outside Hubei after control measures, and second-wave scenario planning: A modelling impact assessment[J]. Lancet, 2020, 395(10233): 1382-1393. doi: 10.1016/S0140-6736(20)30746-7
[2]	MATSUNGO T M, CHOPERA P. Effect of the COVID-19-induced lockdown on nutrition, health and lifestyle patterns among adults in Zimbabwe[J]. BMJ Nutr Prev Health, 2020, 3(2): 205-212. doi: 10.1136/bmjnph-2020-000124
[3]	KRAEMER M U G, YANG C H, GUTIERREZ B, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China[J]. Science, 2020, 368(6490): 493-497. doi: 10.1126/science.abb4218
[4]	LÓPEZ-MORENO M, LOPEZ M T I, MIGUEL M, et al. Physical and psychological effects related to food habits and lifestyle changes derived from Covid-19 home confinement in the Spanish population[J]. Nutrients, 2020, 12(11): 3445. doi: 10.3390/nu12113445
[5]	成艳丽, 陈东, 肖菊姣, 等. 新冠肺炎疫情期间参与疫情防控全科医生心理及睡眠状态分析[J]. 中华全科医学, 2020, 18(11): 1879-1883. doi: 10.16766/j.cnki.issn.1674-4152.001644 CHENG Y L, CHEN D, XIAO J J, et al. Analysis on psychological and sleep state of general practitioners involved in epidemic prevention and control during the novel coronavirus pneumonia epidemic[J]. Chinese Journal of General Practice, 2020, 18(11): 1879-1883. doi: 10.16766/j.cnki.issn.1674-4152.001644
[6]	SATTAR N, MCINNES I B, MCMURRAY J J V. Obesity is a risk factor for severe COVID-19 infection: Multiple potential mechanisms[J]. Circulation, 2020, 142(1): 4-6. doi: 10.1161/CIRCULATIONAHA.120.047659
[7]	DI RENZO L, GUALTIERI P, CINELLI G, et al. Psychological aspects and eating habits during COVID-19 Home Confinement: Results of EHLC-COVID-19 Italian online survey[J]. Nutrients, 2020, 12(7): 2152. doi: 10.3390/nu12072152
[8]	MAFFONI S, BRAZZO S, DE GIUSEPPE R, et al. Lifestyle changes and body mass index during COVID-19 pandemic lockdown: An Italian online-survey[J]. Nutrients, 2021, 13(4): 1117. doi: 10.3390/nu13041117
[9]	RODRÍGUEZ-PÉREZ C, MOLINA-MONTES E, VERARDO V, et al. Changes in dietary behaviours during the COVID-19 outbreak confinement in the Spanish COVIDiet study[J]. Nutrients, 2020, 12(6): 1730. doi: 10.3390/nu12061730
[10]	DI RENZO L, GUALTIERI P, PIVARI F, et al. Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey[J]. J Transl Med, 2020, 18(1): 229.
[11]	MEDIOUNI M, MADIOUNI R, KACZOR-URBANOWICZ K E. COVID-19: How the quarantine could lead to the depreobesity[J]. Obes Med, 2020, 19: 100255. DOI: 10.1016/j.obmed.2020.100255.
[12]	STANTON R, TO Q G, KHALESI S, et al. Depression, anxiety and stress during COVID-19: Associations with changes in physical activity, sleep, tobacco and alcohol use in Australian adults[J]. Int J Environ Res Public Health, 2020, 17(11): 4065.
[13]	VANDENDRIESSCHE A, GHEKIERE A, VAN CAUWENBERG J, et al. Does sleep mediate the association between school pressure, physical activity, screen time, and psychological symptoms in early adolescents? A 12-Country Study[J]. Int J Environ Res Public Health, 2019, 16(6): 1072. doi: 10.3390/ijerph16061072
[14]	HAMMOUDI S F, MREYDEM H W, ABOU ALI B T, et al. Smartphone screen time among university students in Lebanon and its association with insomnia, bedtime procrastination, and body mass index during the COVID-19 pandemic: A cross-sectional study[J]. Psychiatry Investig, 2021, 18(9): 871-878. doi: 10.30773/pi.2021.0120
[15]	MORIN C M, CARRIER J, BASTIEN C, et al. Sleep and circadian rhythm in response to the COVID-19 pandemic[J]. Can J Public Health, 2020, 111(5): 654-657.
[16]	LIN J, JIANG Y, WANG G, et al. Associations of short sleep duration with appetite-regulating hormones and adipokines: A systematic review and meta-analysis[J]. Obes Rev, 2020, 21(11): e13051. DOI: 10.1111/obr.13051.
[17]	URZEALA C, DUCLOS M, CHRIS UGBOLUE U, et al. COVID-19 lockdown consequences on body mass index and perceived fragility related to physical activity: A worldwide cohort study[J]. Health Expect, 2021. DOI: 10.1111/hex.13282.
[18]	MCDOWELL C P, HERRING M P, LANSING J, et al. Associations between employment changes and mental health: US data from during the COVID-19 pandemic[J]. Front Psychol, 2021, 12: 631510. DOI: 10.3389/fpsyg.2021.631510.
[19]	李增宁, 陈超刚, 刘兰, 等. 新冠病毒肺炎疫情期间"居家膳食营养与健康管理建议"解读[J]. 营养学报, 2020, 42(2): 108-110. https://www.cnki.com.cn/Article/CJFDTOTAL-YYXX202002006.htm LI Z N, CHEN C G, LIU L, et al. Recommendation of dietary nutrition and health management for community residents during COVID-19 epidemic[J]. Acta Nutrimenta Sinica, 2020, 42(2): 108-110. https://www.cnki.com.cn/Article/CJFDTOTAL-YYXX202002006.htm
[20]	曹雅雯, 陈伟, 陈道俊, 等. 新冠肺炎疫情期间大学生视疲劳与终端屏幕暴露的关联研究[J]. 现代医药卫生, 2021, 37(15): 2523-2527. https://www.cnki.com.cn/Article/CJFDTOTAL-XYWS202115002.htm CAO Y W, CHEN W, CHEN D J, et al. Analysis of relationship between asthenopia and terminal screen exposure in college students during COVID-19 epidemic period[J]. Journal of Modern Medicine & Health, 2021, 37(15): 2523-2527. https://www.cnki.com.cn/Article/CJFDTOTAL-XYWS202115002.htm