新冠肺炎疫情及相关封城阶段对城市不同年龄和性别人群生活方式的影响

Raj Kumar, Mayank D. Javia, Chintan J. Lakhani, Y. Umraniya
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摘要

背景:Covid-19对全球普通人群的正常生活方式和情感方面产生了很大影响。由于封锁时间较长,不健康的行为和生活方式措施增加,如体力活动减少,食欲不振,更多的快餐和垃圾食品饮食习惯,睡眠障碍等。目前的横断面研究是在2022年3月至4月期间,在古吉拉特邦Amreli市的各个地区随机选择1000名特定年龄组的参与者(500名男性和500名女性)自愿参与研究后进行的。研究的目的是评估封锁对印度城市人口生活方式和行为改变的影响。在总共1000名参与者中,55%的人体力活动减少,46.4%的人体重增加,44.2%的人总体食物摄入量增加,40.2%的人在家点餐的频率增加,49.6%的人在家烹饪新食谱或传统食谱的频率增加,52.8%的人增加了社交媒体的使用,55.2%的人增加了看屏幕的时间(电视/手机/笔记本电脑/平板电脑),46.4%的人睡眠时间减少。49.6%的人愤怒增加,53.6%的人压力增加。参与者的不健康生活方式行为包括体重增加、食物摄入量增加、在家订餐频率增加、社交媒体使用增加、屏幕时间(电视/手机/笔记本电脑/平板电脑)增加、睡眠减少、压力增加和愤怒。本研究数据可为重点医护人员制定适当的干预措施提供参考。
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The effect of Covid-19 and related lockdown phases on lifestyle of various age and sex groups in urban area
Background:- Covid-19 has affected the normal lifestyle and emotional aspects of general population of whole world a lot. Due to longer period of lockdown, unhealthy behavior and life style measures has increased like less physical activity, loss of appetite, more fast food and junk food eating habits, sleep disturbances etc. The present cross-sectional study was conducted among 1000 (500 male and 500 female) randomly selected participants of specific age group from the various areas of Amreli city of Gujarat after taking consent for voluntary participation in the study during March- April 2022. The aim of study was to evaluate the effects of lockdowns on lifestyle and behaviour changes of people in the urban areas in Indian populations. Out of total 1000 participants, 55% were having decreased physical activity, 46.4% were having increase in gain in weight, 44.2% were having increased overall food intake, 40.2% were having increased frequency of ordering food at home, 49.6% were having increased frequency of cooking new or traditional recipes at home, 52.8% were having increased use of social media, 55.2% were having increased screen time (TV/mobile/laptop/tablet), 46.4% were having decreased sleep, 49.6% were having increased anger and 53.6% were having more stress. Unhealthy lifestyle behavior among the participants are gain in weight, increased food intake, increased frequency of ordering food at home, increased use of social media, increased screen time (TV/mobile/laptop/tablet), decreased sleep, more stress and anger. Data derived from this study can be helpful to formulate appropriate interventional measures to the key health care personnel.
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