评估2019冠状病毒病大流行对印度喀里喀里邦选定地区普通人群生理、心理、经济和社会状况影响的研究

Jeril Joji, Jinumol Jose, Josna Augustine, Mariya Johny, S. Joseph, S. Jacob, A. Gnanadurai
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引用次数: 0

摘要

研究题目:一项评估2019冠状病毒病大流行对特里苏尔邦kachery选定地区普通人群身体、心理、经济和社会状况影响的研究。导语:COVID-19对全球每个社会都造成了严重影响。新冠肺炎疫情对普通人群造成了身体、心理、经济和社会影响。目的:评估2019冠状病毒病(COVID-19)大流行对特里苏尔邦Kachery选定地区普通人群身体、心理、经济和社会状况的影响。将COVID-19大流行对身体、心理、经济和社会状况的影响与选定的社会人口统计变量联系起来。方法:本研究选取了印度特里苏尔邦Kachery地区的100个样本。本研究的研究设计为描述性设计,样本采集采用方便抽样法。工具:工具由2部分组成。A部分:社会人口统计学和临床数据概况。B部分:自行制定的评估新冠肺炎对身体、心理、经济和社会状况影响的清单。结果:在社会人口学和临床资料中,54例(54%)年龄在50岁以下,46例(46%)年龄在50岁以上。大多数样本为女性60例(60%),男性40例(40%)。在100个样本中,约31人(31%)患有高血压,49人(49%)患有糖尿病,20人(20%)患有其他类型的疾病。APL有68例(68%),BPL有32例(32%)。总体而言,22个样本(22%)对COVID-19大流行具有中等影响,78个样本(78%)对COVID-19大流行具有低影响,没有样本对COVID-19大流行具有高影响。1(1%)的样本有较高的心理影响。3个(3%)样本具有中等物理影响,25个(25%)样本具有中等心理影响,29个(29%)样本具有中等经济影响,30个(30%)样本具有中等社会影响。97%的样本具有较低的物理影响,74%的样本具有较低的心理影响,71%的样本具有较低的经济影响,70%的样本具有较低的社会影响。样本的共病状况与COVID-19的影响有显著相关性。讨论:在研究结束时,研究者发现样本合并症与COVID-19大流行的影响有显著相关性(p<0.05)。合并症增加了COVID-19大流行的影响。大流行期间的年龄、性别、职业、居住地与COVID-19大流行的影响无显著相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study to Assess the Impact of COVID-19 Pandemic on Physical, Psychological, Economical and Social status among general population in selected areas of Kachery, Thrissur
Title of study: A study to assess the impact of COVID-19 pandemic on physical, psychological, economical and social status among general population in selected areas of kachery, Thrissur. Introduction: COVID-19 has caused serious impact on every society globally. The COVID-19 caused physical, psychological, economical and social impact on general population. Objectives: To assess impact of COVID-19 pandemic on physical, psychological, economical and social status among general population in selected areas of Kachery, Thrissur. To associate the impact of COVID-19 pandemic on physical, psychological, economical and social status with selected socio demographic variables. Methodology: The study was conducted among 100 samples from selected areas of Kachery, Thrissur. The research design of the study is descriptive design and sample was collected by convenient sampling method. Tool: The tool consists of 2 sections. Section A: Socio-demographic and clinical data profile. Section B: Self developed checklist to assess the impact of covid-19 on physical, psychological, economical and social status. Results: The findings shows that, in socio-demographic and clinical data profile, 54(54%) are below 50 years of age while 46(46%) are above 50 years of age. Most of the samples 60(60%) are females and 40(40%) are males. Among 100 samples, about 31(31%) have hypertension, 49(49%) have diabetes mellitus and 20(20%) are suffering from other type of diseases. About 68(68%) of the samples belong to APL and 32(32%) belong BPL. Overall 22(22%) sample is having moderate impact on COVID-19 pandemic, 78(78%) sample is having low impact on COVID-19 pandemic and no sample is having high impact on COVID-19 pandemic. 1(1%) of sample have high psychological impact. 3(3%) of sample have moderate physical impact, 25(25%) have moderate psychological impact and 29(29%) sample have moderate economic impact and 30(30%) sample have moderate social impact. 97(97%) of sample is having low physical impact, 74(74%) of sample is having low psychological impact, 71(71%) of sample have low economic impact and 70(70%) sample have low social impact. There is significant association of co-morbid conditions of sample with impact of COVID-19. Discussion: At the end of the study investigator found that there is significant association of comorbid conditions of sample with impact of COVID-19 pandemic at p<0.05. Comorbid condition increases the impact of COVID-19 pandemic. There is no significant association of age, gender, occupation, residential place during the pandemic with impact of COVID-19 pandemic.
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