Ramasubramanian Vikhram, Mohandoss Anusa Arunachalam, Rajendhiran Gopi, Pandian P Raja Soundara, Ramasubramanian C
Ahana Hospitals LLP, Gandhi Nagar, Madurai, Tamil Nadu, India.
MS Chellamuthu Trust and Research Foundation, Madurai, Tamil Nadu, India.
Indian J Psychol Med. 2020 Jul 6;42(4):368-373. doi: 10.1177/0253717620935581. eCollection 2020 Jul.
COVID-19-driven pandemic has caused panic, fear, and stress among all strata of society. The study aimed to assess stress and the factors that influence it in a representative population in the state of Tamil Nadu (TN)-a state in the southern India where the levels of stress have not been measured yet.
From April 13 to April 25, 2020, we conducted an online survey among the TN population using the snowball sampling technique, collecting basic demographic data. COVID-19-perceived stress was collected through COVID-19 Peritraumatic Distress Index (CPDI). Binomial regression analysis was used to identify the extent of the relationship between CPDI and sociodemographic factors by estimating the odds of having significant stress. P ≤ 0.05 was considered significant.
A total of 2,317 valid responses were received. Of the respondents, 830 (35.82%) were males, 1,084 (46.79%) were below 25 years of age, and 2,297 (99.14%) were native residents of TN. The mean(±SD) CPDI was 20.66±12.03. While 1,830 (77.2%) respondents had low or no stress, 478 (20.2%) had mild to moderate stress, and 63 (2.7%) had severe stress. The bivariate model included marital status, age, nativity, and income. The odds of having significant stress (mild-moderate or severe) for a 25-34 year age group as compared to >55 years group was 2.38 (P < 0.001). As compared to widowed, the married had higher odds ratio (3.41, P = 0.05). Compared to those with >10 lakh annual income, those with 2.5-5 lakhs annual income had odds ratio of 1.65 (95% CI = 1.01 to 2.7, P = 0.05).
During the lockdown due to COVID-19, every 1 in 5 TN population had some form of stress, as measured by CPDI. Our model identified certain factors driving the stress, which would help policy framers to initiate an appropriate response.
由新型冠状病毒肺炎(COVID-19)引发的大流行在社会各阶层中引起了恐慌、恐惧和压力。本研究旨在评估印度南部泰米尔纳德邦(TN)具有代表性人群中的压力情况及其影响因素,该邦的压力水平此前尚未被测量。
2020年4月13日至4月25日,我们采用雪球抽样技术对TN人群进行了在线调查,收集基本人口统计学数据。通过COVID-19创伤应激指数(CPDI)收集对COVID-19的感知压力。采用二项式回归分析,通过估计有显著压力的几率来确定CPDI与社会人口学因素之间的关系程度。P≤0.05被认为具有统计学意义。
共收到2317份有效回复。在受访者中,830人(35.82%)为男性,1084人(46.79%)年龄在25岁以下,2297人(99.14%)是TN的本地居民。CPDI的平均值(±标准差)为20.66±12.03。1830名(77.2%)受访者压力低或无压力,478名(20.2%)有轻度至中度压力,63名(2.7%)有重度压力。双变量模型包括婚姻状况、年龄、出生地和收入。与55岁以上年龄组相比,25 - 34岁年龄组有显著压力(轻度 - 中度或重度)的几率为2.38(P < 0.001)。与丧偶者相比,已婚者的优势比更高(3.41,P = 0.05)。与年收入超过100万卢比的人相比,年收入为25万 - 50万卢比的人的优势比为1.65(95%置信区间 = 1.01至2.7,P = 0.05)。
在因COVID-19实施封锁期间,通过CPDI测量,TN每5人中就有1人有某种形式的压力。我们的模型确定了导致压力的某些因素,这将有助于政策制定者做出适当反应。