
@article{ref1,
title="Statewide survey of psychological distress among people of Tamil Nadu in the COVID-19 pandemic",
journal="Indian journal of psychological medicine",
year="2020",
author="Mohandoss, Anusa Arunachalam and Ramasubramanian, Vikhram and Ramasubramanian, C. and Pandian, P. Raja Soundara and Rajendhiran, Gopi",
volume="42",
number="4",
pages="368-373",
abstract="BACKGROUND: 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. <br><br>METHODS: 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. <br><br>RESULTS: 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). <br><br>CONCLUSIONS: 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.<p /> <p>Language: en</p>",
language="en",
issn="0253-7176",
doi="10.1177/0253717620935581",
url="http://dx.doi.org/10.1177/0253717620935581"
}