Vivian Kapil Venugopal, N. Shanmugasundharam, Rohith Khanna Deivasigamani, Ashly Shibu, Mithun Prasad Vivekanandam, R. Somasundaram, Karthikeyan Ms, Sathianathan Ramanathan, R. Rajagopal, Z. Ali, Suresh Kumar Munirathinam
{"title":"A cross-sectional study of prevalence and predictors of psychological distress during COVID-19 pandemic among the Indian population","authors":"Vivian Kapil Venugopal, N. Shanmugasundharam, Rohith Khanna Deivasigamani, Ashly Shibu, Mithun Prasad Vivekanandam, R. Somasundaram, Karthikeyan Ms, Sathianathan Ramanathan, R. Rajagopal, Z. Ali, Suresh Kumar Munirathinam","doi":"10.52095/GP.2021.3858.1028","DOIUrl":null,"url":null,"abstract":"Objective: To assess the prevalence of psychological distress and identify the predictors and factors associated with the distress during the onset of the COVID-19 pandemic among the Indian population. Materials and methods: An online cross-sectional study with a semi-structured questionnaire was used to assess the psychological distress using the General Health Questionnaire (GHQ-12) among Indians. Descriptive statistics and the prevalence of psychological distress were calculated. A chi-square test was done to find the association between the independent variables and psychological distress. Factors that are significantly associated with psychological distress were further analysed using multiple logistic regression analysis to identify the predictors. Results: 846 responses were obtained with a mean age of 32 years (32.45 ± 11.44). 35% (n=290) had significant psychological distress with a mean GHQ-12 score of 2.37. Factors associated were age (p=0.002), family members having COVID-19 symptoms (p=0.017), lockdown distress (p=0.0001), source of health information (p=0.041), perception that information by social media increased fear (p=0.0001), the likelihood of family contracting COVID-19 (p=0.022), the pattern of food consumption (p=0.0001) and worry about financial burden during lockdown (p=0.0001). By logistic regression analysis, we found increased odds of developing psychological distress among the participants aged less than 40 years (OR=1.49, C.I=1-2.249,p=0.050); people who felt distressed due to the lockdown situation (OR= 2.31, C.I=1.694-3.162, p=0.0001); individuals whose fear increased due to social media information (OR=1.55, C.I= 1.144-2.113, p=0.005) and participants whose food pattern increased during the lockdown period (OR=1.41, C.I=1.035-1.923, p=0.029). Conclusion: Nearly a third of the participants were in a state of psychological distress which transcended topographical barriers with factors such as being less than 40 years of age, accessing health information through social media, a pattern of food consumption being increased and being in the lockdown situation as predictors of psychological distress.","PeriodicalId":192360,"journal":{"name":"GLOBAL PSYCHIATRY ARCHIVES","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBAL PSYCHIATRY ARCHIVES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52095/GP.2021.3858.1028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To assess the prevalence of psychological distress and identify the predictors and factors associated with the distress during the onset of the COVID-19 pandemic among the Indian population. Materials and methods: An online cross-sectional study with a semi-structured questionnaire was used to assess the psychological distress using the General Health Questionnaire (GHQ-12) among Indians. Descriptive statistics and the prevalence of psychological distress were calculated. A chi-square test was done to find the association between the independent variables and psychological distress. Factors that are significantly associated with psychological distress were further analysed using multiple logistic regression analysis to identify the predictors. Results: 846 responses were obtained with a mean age of 32 years (32.45 ± 11.44). 35% (n=290) had significant psychological distress with a mean GHQ-12 score of 2.37. Factors associated were age (p=0.002), family members having COVID-19 symptoms (p=0.017), lockdown distress (p=0.0001), source of health information (p=0.041), perception that information by social media increased fear (p=0.0001), the likelihood of family contracting COVID-19 (p=0.022), the pattern of food consumption (p=0.0001) and worry about financial burden during lockdown (p=0.0001). By logistic regression analysis, we found increased odds of developing psychological distress among the participants aged less than 40 years (OR=1.49, C.I=1-2.249,p=0.050); people who felt distressed due to the lockdown situation (OR= 2.31, C.I=1.694-3.162, p=0.0001); individuals whose fear increased due to social media information (OR=1.55, C.I= 1.144-2.113, p=0.005) and participants whose food pattern increased during the lockdown period (OR=1.41, C.I=1.035-1.923, p=0.029). Conclusion: Nearly a third of the participants were in a state of psychological distress which transcended topographical barriers with factors such as being less than 40 years of age, accessing health information through social media, a pattern of food consumption being increased and being in the lockdown situation as predictors of psychological distress.
目的:评估印度人群在2019冠状病毒病(COVID-19)大流行发病期间的心理困扰患病率,并确定与心理困扰相关的预测因素和因素。材料和方法:采用半结构化在线横断面调查问卷,利用一般健康问卷(GHQ-12)对印度人的心理困扰进行评估。计算描述性统计和心理困扰的发生率。通过卡方检验发现自变量与心理困扰之间的关系。使用多元逻辑回归分析进一步分析与心理困扰显著相关的因素,以确定预测因素。结果:获得应答846例,平均年龄32岁(32.45±11.44)。35% (n=290)存在显著的心理困扰,GHQ-12平均得分为2.37。相关因素包括年龄(p=0.002)、出现COVID-19症状的家庭成员(p=0.017)、封锁焦虑(p=0.0001)、健康信息来源(p=0.041)、认为社交媒体信息会增加恐惧(p=0.0001)、家庭感染COVID-19的可能性(p=0.022)、食物消费模式(p=0.0001)以及对封锁期间经济负担的担忧(p=0.0001)。通过logistic回归分析,我们发现年龄小于40岁的参与者发生心理困扰的几率增加(OR=1.49, ci =1-2.249,p=0.050);因封锁形势而感到痛苦的人群(OR= 2.31, ci =1.694-3.162, p=0.0001);由于社交媒体信息而增加恐惧的个体(OR=1.55, ci = 1.144-2.113, p=0.005)和在封锁期间食物模式增加的参与者(OR=1.41, ci =1.035-1.923, p=0.029)。结论:近三分之一的参与者处于超越地形障碍的心理困扰状态,其因素包括年龄小于40岁,通过社交媒体获取健康信息,食物消费模式增加以及处于封锁状态作为心理困扰的预测因素。