{"id":41838,"date":"2021-12-30T10:10:51","date_gmt":"2021-12-30T10:10:51","guid":{"rendered":"https:\/\/biomedpharmajournal.org\/?p=41838"},"modified":"2022-01-04T08:21:28","modified_gmt":"2022-01-04T08:21:28","slug":"assessment-of-psychology-behaviour-and-self-medication-potential-among-indian-people-during-covid-19-pandemic","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol14no4\/assessment-of-psychology-behaviour-and-self-medication-potential-among-indian-people-during-covid-19-pandemic\/","title":{"rendered":"Assessment of Psychology, Behaviour and Self-Medication Potential Among Indian People During Covid-19 Pandemic"},"content":{"rendered":"<p><strong>Introduction<\/strong><\/p>\n<p>In December 2019, few cases of an unidentified pneumonia came up in Huanan Seafood Wholesale Market which is a wet market in Wuhan, China. The disease characteristics were similar to that reported by virus flu. This causative agent was later identified as SARS-Cov-2 virus which caused symptoms like fever, cough, diarrhoea, fatigue and vomiting. Some severe cases caused acute respiratory distress, heart injury and secondary infections. <sup>1,2<\/sup><\/p>\n<p>The World Health Organization declared it as a pandemic on March 11, 2020. The virus inflicts fear of getting sick, dying due to infection, stigma and helplessness among common people. <sup>3<\/sup><\/p>\n<p>Quarantine is a traditional method of containing the spread of epidemic diseases. <sup>4<\/sup><\/p>\n<p>Mass fear of Covid 19 is called as \u201ccoronaphobia\u201d. Nationwide lockdowns are being reported to cause mass hysteria, anxiety, depression, rise in substance dependence, irritability, confusion, anger, insomnia, denial, despair, fear of getting the disease, post-traumatic stress disorder and even suicidal thoughts. <sup>5<\/sup><\/p>\n<p>Medicating someone in order to alleviate or prevent an illness without medical supervision is called as self-medication. Fever, headache and common cold are some of the common ailments for which self-medication is generally used. The term \u201cOTC\u201d is not legally recognised in India. Drugs not listed under \u201cprescription-only\u201d drugs are considered as \u201cnon-prescription\u201d OPTC drugs which should be sold by pharmacists without the prescription of a Registered Medical Practitioner. Saving time and money are the major reasons for self-medication. <sup>6<\/sup><\/p>\n<p>Self-medication has disadvantages of causing risk of misdiagnosis, overdosage, prolonged usage, waste of resources and high resistance to pathogens. In India, no list of OTC drugs exists. <sup>7<\/sup><\/p>\n<p>In developing nations, self-medication is widely practiced by people who cannot bear clinical costs. Drugs are dispensed without medical supervision. Paracetamol and other NSAID\u2019s are mostly used for self-medication. <sup>8<\/sup><\/p>\n<p>Diclofenac is also reported to be used for self-medication among most population. Common adverse reactions associated with this include dyspepsia, diarrhoea and abdominal pain. <sup>9<\/sup><\/p>\n<p>Diclofenac is also used as monotherapy or in combination with Aspirin or Ibuprofen for the treatment of tension-type headache. Overuse of medications may cause headaches. <sup>10<\/sup><\/p>\n<p>At the outset of the Covid 19 pandemic, the Indian Government implemented a nation-wide lockdown to prevent the further spread of disease. However, continuous lockdown impacted the economy and lives of people by causing social isolation, financial and job losses. Hence, unlock was implemented with certain relaxations since June 2020. However, some people prefer to follow restrictions like social distancing, regularly using sanitizer, wearing masks and restricting going out till very much required.<\/p>\n<p>The country India is home to diverse culture having several festivals and celebrations all over the year. The novel covid-19 infection being very contagious is fast spreading throughout the World including India. The common symptoms of the disease are fever, body aches, sore throat, runny nose, loss of taste and smell.<\/p>\n<p>A nationwide lockdown was announced in the second quarter of the year 2020 to combat the deadly pandemic COVID-19.\u00a0 The viral infection was severe between April and July 2020 in Bengaluru, Karnataka.\u00a0 Many urban pockets of the city declared as containment zones experienced severe restrictions.\u00a0 The imposed restrictions made the routine societal life to a grinding halt and perturbed many containment zone residents.<\/p>\n<p>Lockdown and restrictions grossly impacted the livelihood of Indian people. Schools and colleges closed down since March 2020 for an indefinite period of time. Working women have to manage home and work without much support from domestic helps. Day cares are shut down and women have to help children with online classes apart from their existing work from home official work and household chores. Constant home confinement results in psychological distress like fear of contracting the disease, fear from dying of the disease, insomnia, poor sleep quality, rise in screen time in order to avoid boredom, uncertainty, depression and even suicidal thoughts due to lower incomes and financial losses. The current pandemic situation has caused massive cuts in salary and job losses.<\/p>\n<p>In late August 2020, the first phase of unlocking down relaxed the containment zone dwellers. Nevertheless, vigilant watch on any increase in the spread of infection continued in this area.\u00a0 Hence, this containment zone was selected.<\/p>\n<p>In India, the festive season begins from Ganesh Chaturthi, usually in August-September and lasts till New Year eve. In order to contain the spread of the novel covid-19 infection, norms like social distancing, practicing hand and respiratory hygiene and avoiding going out of home till very much required are the guidelines which should be followed. During the festive season, generally migrant workers working in various corporate sectors visit their native places in order to see their family, friends and relatives. Purchase and shopping for gifts and handicrafts is also rampant during this period of time. The current survey was done during the Indian festive season of 2020 between August and November to check the mental and emotional status of general public, covid awareness and guideline procedure which is being followed.<\/p>\n<p>Yoga originated in ancient time in India and is known to have therapeutic benefits. Meditation relaxes the body and mind. The effect of yoga and meditation in alleviating the stress and tension was also studied in the study.<\/p>\n<p>India is home to several spiritual gurus who teach yoga and meditation. Patanjali of Ramdev and Sudarshan Kriya by Sri Sri Ravishankar is practiced by many people in India as well as over the World.<\/p>\n<p>In a country like India, caste discrimination is still rampant in few parts of the nation. Turning Covid-19 positive results in stigmatization and social isolation. Indians may prefer to self-medicate themselves rather than consulting doctors or undergoing Covid 19 tests. As fever and body aches are very common symptoms of the novel corona virus infection, a research was conducted to analyse the rate of self-medication of Diclofenac and Paracetamol in the current situation of pandemic.<\/p>\n<p>With the advancement of technology and Digital India scheme, easy accessibility of internet is available to almost everyone in India. People may view and collect drug information online rather than consulting practising physicians during illness.<\/p>\n<p>The number of cases of Covid 19 infection is rapidly increasing in an exponential order in Bangalore. The BBMP are not getting enough participants for Covid free testing. Most of the people are panicked about turning Covid positive which may result in social isolation and stigmatization. Hence, they are tending to take Paracetamol and Diclofenac as a precautionary measure even before getting infected by the virus. Paracetamol and Diclofenac are being stocked by people as an essential commodity presently.<\/p>\n<p>As per unpublished sources, India has reached the peak of Covid-19 infection on September 17<sup>th<\/sup>, 2020. There are more than 8000 pharmacy shops in Bangalore. Continuous awareness messages are telecasted in all the print and media (online and regular).\u00a0 The people are also very much aware of the commonly used OTC drugs.<\/p>\n<p>Prior studies on the psychological behavior of people during festive season, effect of yoga in combating stress related to the pandemic and usage of the drugs Diclofenac and Paracetamol during Covid is missing. People are not aware of the side effects and they are having fear of exposing themselves because they were very much bothered about infection rate, isolation and the sequential health deterioration effects caused by the virus.<\/p>\n<p><strong>Materials and Methods<\/strong><\/p>\n<p>An online questionnaire prepared on popular e-format (Google forms) was circulated to the residents of Bangalore.\u00a0 The participants were encouraged to circulate the questionnaire with their acquaintances to increase the visibility. The e-questionnaire survey was targeted only at the common people. A total of 1050 people were distributed with the e-survey questionnaire and ensured a rational distribution between the gender.<\/p>\n<p>The first part of the questionnaire contained questions relating to the gender, age group, diet, personal and medical history of the respondents. The second part of the questionnaire contained questions related to covid preparedness and awareness. The third part of the questionnaire studied the psychological effect of the current covid pandemic. The latter part of the questionnaire further assessed the potential for self-medication of Paracetamol and Diclofenac.<\/p>\n<p>A total of 200 responses were gathered. The responses were analyzed using Statistical Package for Social Sciences (SPSS) software version.17. Descriptive statistics were performed to calculate the frequency and percentage.\u00a0 A Chi-square analysis was conducted to identify the variation in the awareness toward COVID-10 and its preventive measurs,\u00a0 psychological and behavioral response, tantrums, sleep pattern, self-medication and preparedness between the genders.<\/p>\n<p><strong>Results<\/strong><\/p>\n<p><strong>Age of respondents<\/strong><\/p>\n<p>The age of the respondents was grouped into four categories namely 26-30, 31-35, 36-40 and 41-45.<\/p>\n<p>Participants of age group 31-35 responded well.<\/p>\n<p>People belonging to the age group 31-35 actively participated in the survey.<\/p>\n<p>About 42.2% of the respondents belong to the age group 31-35 while the least percent (of respondents (7%) were from the age group of 41-45.<\/p>\n<p><strong>Marital status and children<\/strong><\/p>\n<p>Majority of the respondents were married (75.9%). Only 24.1% were unmarried. Most of the respondents (45.7%) had children. While 54.3% did not have children.<\/p>\n<p>All respondents comply with the statutory practice of wearing face masks or protective shields during their outside visits from home. They tend to wash their hands with sanitizer; their duration of washing hands with soap was less than a minute.\u00a0 They showed an inclination to stay at home and preferred online shopping. However, they showed a need-based outside movement from their home.\u00a0 The respondents provisioned a separate room at their residence to isolate themselves in the event of any contact suspicion.<\/p>\n<p>People believed that drinking hot water may improve themselves to combat the infection.\u00a0 From the responses, it is clear that the male and female respondents did not drink hot water frequently as the weather conditions so demand them to drink sterile and cool water to quench their thirst. However, most of the respondents believed that drinking warm water might have a therapeutic effect. Further, they also restricted their children from playing at common facilities.\u00a0 Thus, no high and significant variation (p&lt;0.05) prevailed between genders in permitting their children to play outdoors (Table.2).<\/p>\n<p><strong>Table 1: Demographic characteristics of the respondents and their dietary habits.<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"26%\"><strong>Characteristics<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"25%\"><strong>Variable<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"23%\"><strong>% of recorded response<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"23%\"><strong>Chi square (df and p-value<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"26%\">Gender<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Male<\/td>\n<td style=\"text-align: center;\" width=\"23%\">47.7<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Female<\/td>\n<td style=\"text-align: center;\" width=\"23%\">52.3<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"4\" width=\"26%\">Age Group<\/td>\n<td style=\"text-align: center;\" width=\"25%\">26-30<\/td>\n<td style=\"text-align: center;\" width=\"23%\">19.1<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">31-35<\/td>\n<td style=\"text-align: center;\" width=\"23%\">42.2<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">36-40<\/td>\n<td style=\"text-align: center;\" width=\"23%\">31.7<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">41-45<\/td>\n<td style=\"text-align: center;\" width=\"23%\">7.0<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"26%\">Marital status<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Married<\/td>\n<td style=\"text-align: center;\" width=\"23%\">75.9<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Unmarried<\/td>\n<td style=\"text-align: center;\" width=\"23%\">24.1<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"26%\">Having children<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"23%\">45.7<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">No<\/td>\n<td style=\"text-align: center;\" width=\"23%\">54.3<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"4\" width=\"26%\">Qualification<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Intermediate<\/td>\n<td style=\"text-align: center;\" width=\"23%\">1.0<\/td>\n<td style=\"text-align: center;\" width=\"23%\">4.617 (3, 0.202)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Graduate<\/td>\n<td style=\"text-align: center;\" width=\"23%\">18.1<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Post graduate and others<\/td>\n<td style=\"text-align: center;\" width=\"23%\">76.4<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Pursuing<\/td>\n<td style=\"text-align: center;\" width=\"23%\">4.5<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"26%\">Socio-economic status<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Average<\/td>\n<td style=\"text-align: center;\" width=\"23%\">33.7<\/td>\n<td style=\"text-align: center;\" width=\"23%\">1.813 (2, 0.404)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Good<\/td>\n<td style=\"text-align: center;\" width=\"23%\">65.8<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Poor<\/td>\n<td style=\"text-align: center;\" width=\"23%\">0.5<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"26%\">Number of members in the family<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Less than 4<\/td>\n<td style=\"text-align: center;\" width=\"23%\">60.8<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Less than 6<\/td>\n<td style=\"text-align: center;\" width=\"23%\">37.2<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">More than 8<\/td>\n<td style=\"text-align: center;\" width=\"23%\">2.0<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"26%\">Working status<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Not working<\/td>\n<td style=\"text-align: center;\" width=\"23%\">12.6%<\/td>\n<td style=\"text-align: center;\" width=\"23%\">6.925 (3, 0.074)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">With job and working from home<\/td>\n<td style=\"text-align: center;\" width=\"23%\">87.4%<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" colspan=\"3\" width=\"76%\"><strong>Personal Lifestyle and dietary habits<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"23%\"><strong>\u00a0<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"26%\">Dietary status<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Vegetarian<\/td>\n<td style=\"text-align: center;\" width=\"23%\">35.2%<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Non vegetarian<\/td>\n<td style=\"text-align: center;\" width=\"23%\">64.8%<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"26%\">Fruits and vegetables consumption<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Daily<\/td>\n<td style=\"text-align: center;\" width=\"23%\">42.9%<\/td>\n<td style=\"text-align: center;\" width=\"23%\">12.616 (1, 0.000)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Occasionally<\/td>\n<td style=\"text-align: center;\" width=\"23%\">57.1%<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"26%\">Tea and coffee consumption<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"23%\">79.9%<\/td>\n<td style=\"text-align: center;\" width=\"23%\">6.314 (1, 0.012)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">No<\/td>\n<td style=\"text-align: center;\" width=\"23%\">20.1%<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"26%\">Smoking habit\/Tobacco consumption<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Smoker<\/td>\n<td style=\"text-align: center;\" width=\"23%\">28.6%<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Non smoker<\/td>\n<td style=\"text-align: center;\" width=\"23%\">71.4%<\/td>\n<td style=\"text-align: center;\" width=\"23%\">51.178 (1, 0.000)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"26%\">Alcohol consumption<\/td>\n<td style=\"text-align: center;\" width=\"25%\">Occasional Drinker<\/td>\n<td style=\"text-align: center;\" width=\"23%\">41.7%<\/td>\n<td style=\"text-align: center;\" width=\"23%\">24.001 (2, 0.000)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Non-Drinker<\/td>\n<td style=\"text-align: center;\" width=\"23%\">57.8%<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"25%\">Regular Drinker<\/td>\n<td style=\"text-align: center;\" width=\"23%\">0.5%<\/td>\n<td style=\"text-align: center;\" width=\"23%\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Table 2: Awareness over the Covid preventive practices among the respondents<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"200\"><strong>Covid Preventive Practices<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"284\"><strong>Response statement<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"118\"><strong>% of responses<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"150\"><strong>Chi square (df, p-value)<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"200\">Frequency of using face masks<\/td>\n<td style=\"text-align: center;\" width=\"284\">Always before going out\/meeting people<\/td>\n<td style=\"text-align: center;\" width=\"118\">98.5%<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"150\">0.437<\/p>\n<p>(1, .508)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">Rarely<\/td>\n<td style=\"text-align: center;\" width=\"118\">1.5%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"200\">Frequency of using hand wash or hand sanitizer<\/td>\n<td style=\"text-align: center;\" width=\"284\">Every time after returning from outside\/touching common surfaces<\/td>\n<td style=\"text-align: center;\" width=\"118\">94.0%<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"150\">0.189<\/p>\n<p>(1, 0.664)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">Rarely<\/td>\n<td style=\"text-align: center;\" width=\"118\">6.0%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"200\">Duration of washing hands with soap and water<\/td>\n<td style=\"text-align: center;\" width=\"284\">Less than a minute<\/td>\n<td style=\"text-align: center;\" width=\"118\">99.0%<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"150\">1.845<\/p>\n<p>(1, 0.174)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">More than a minute<\/td>\n<td style=\"text-align: center;\" width=\"118\">1.0%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"200\">Frequency of visits outside home per day during current situation<\/td>\n<td style=\"text-align: center;\" width=\"284\">Minimum 1 time<\/td>\n<td style=\"text-align: center;\" width=\"118\">32.7%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"150\">20.984<\/p>\n<p>(2, 0.000)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">More than 2 times<\/td>\n<td style=\"text-align: center;\" width=\"118\">13.6%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">Don&#8217;t go out till very much required<\/td>\n<td style=\"text-align: center;\" width=\"118\">53.8%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"200\">Availability of separate room for isolation<\/td>\n<td style=\"text-align: center;\" width=\"284\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"118\">86.4%<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"150\">0.613<\/p>\n<p>(1, 0.434)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">No<\/td>\n<td style=\"text-align: center;\" width=\"118\">13.6%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"200\">Frequently drinking hot water to prevent being infected from covid<\/td>\n<td style=\"text-align: center;\" width=\"284\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"118\">70.9%<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"150\">3.866<\/p>\n<p>(1, 0.049)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">No<\/td>\n<td style=\"text-align: center;\" width=\"118\">29.1%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"200\">Allowing children to go out for playing<\/td>\n<td style=\"text-align: center;\" width=\"284\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"118\">9.0%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"150\">3.866<\/p>\n<p>(1, 0.049)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">No<\/td>\n<td style=\"text-align: center;\" width=\"118\">77.9%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"284\">Not Applicable<\/td>\n<td style=\"text-align: center;\" width=\"118\">13.1%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The respondents disclosed their health status, and three-fourth of the population did not suffer any disease.\u00a0 A significant variation (p&lt;0.05) recorded among the respondents about their awareness of allergy to their body (Table.3) indicates they are aware of the common food allergens.\u00a0 Most participants showed a mixed response regarding their stress, anxiety, and fear, on a larger scale and continue to be the same before or during Covid. All the participants expressed their high frequency of throwing temper tantrums.\u00a0 The respondents may be sensitive and aware of the COVID-19, and they did not display any significant variation (p&gt;0.05) in expressing their psychological attributes.<\/p>\n<p><strong>Table 3: Psychological and behavioral response of the respondents, the practice of yoga and meditation, and their self-medication of antipyretic and anti-inflammatory drugs.<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"190\"><strong>Psychological behaviour<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"169\"><strong>Response<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"100\"><strong>% of the responses recorded<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"148\"><strong>Chi square (df, p-value)<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"190\">Any allergies<\/td>\n<td style=\"text-align: center;\" width=\"169\">Known<\/td>\n<td style=\"text-align: center;\" width=\"100\">53.3<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"148\">19.698 (1, 0.000)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Not known<\/td>\n<td style=\"text-align: center;\" width=\"100\">46.7<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"5\" width=\"190\">Pre existing diseases<\/td>\n<td style=\"text-align: center;\" width=\"169\">Diabetes<\/td>\n<td style=\"text-align: center;\" width=\"100\">3.5<\/td>\n<td style=\"text-align: center;\" rowspan=\"5\" width=\"148\">29.128 (5, 0.000)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Thyroid problem<\/td>\n<td style=\"text-align: center;\" width=\"100\">12.1<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Blood Pressure<\/td>\n<td style=\"text-align: center;\" width=\"100\">3.5<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Migraine issue<\/td>\n<td style=\"text-align: center;\" width=\"100\">3.5<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">None of these<\/td>\n<td style=\"text-align: center;\" width=\"100\">75.9<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"190\">Stressed currently<\/td>\n<td style=\"text-align: center;\" width=\"169\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"100\">58.3%<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"148\">0.157 (1, 0.692)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">No<\/td>\n<td style=\"text-align: center;\" width=\"100\">41.7%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Current anxiety level<\/td>\n<td style=\"text-align: center;\" width=\"169\">High<\/td>\n<td style=\"text-align: center;\" width=\"100\">52.5%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">0.835 (2, 0.659)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Low<\/td>\n<td style=\"text-align: center;\" width=\"100\">10.6%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">No change<\/td>\n<td style=\"text-align: center;\" width=\"100\">36.9%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Frequency of throwing temper tantrums<\/td>\n<td style=\"text-align: center;\" width=\"169\">High<\/td>\n<td style=\"text-align: center;\" width=\"100\">47.7%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">1.042 (2, 0.594)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Low<\/td>\n<td style=\"text-align: center;\" width=\"100\">13.1%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">No change<\/td>\n<td style=\"text-align: center;\" width=\"100\">39.2%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Current fear factor<\/td>\n<td style=\"text-align: center;\" width=\"169\">High<\/td>\n<td style=\"text-align: center;\" width=\"100\">57.4%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">0.223 (2, 0.895)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Low<\/td>\n<td style=\"text-align: center;\" width=\"100\">8.1%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">No change<\/td>\n<td style=\"text-align: center;\" width=\"100\">34.5%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Panicked about turning covid positive<\/td>\n<td style=\"text-align: center;\" width=\"169\">Maybe<\/td>\n<td style=\"text-align: center;\" width=\"100\">14.6%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">5.701 (2, 0.058)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">No<\/td>\n<td style=\"text-align: center;\" width=\"100\">38.9%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"100\">46.5%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Duration of sleep before covid<\/td>\n<td style=\"text-align: center;\" width=\"169\">6-8 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">89.9%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">5.165 (2, 0.076)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">8-10 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">9.0%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">More than 10 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">1.0%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"190\">Current duration of sleep<\/td>\n<td style=\"text-align: center;\" width=\"169\">6-8 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">88.4%<\/td>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"148\">1.750 (1, 0.186)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">8-10 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">11.6%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Present nature of sleep<\/td>\n<td style=\"text-align: center;\" width=\"169\">Better<\/td>\n<td style=\"text-align: center;\" width=\"100\">8.0%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">1.071 (2, 0.586)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Same<\/td>\n<td style=\"text-align: center;\" width=\"100\">53.3%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Worse<\/td>\n<td style=\"text-align: center;\" width=\"100\">38.7%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"5\" width=\"190\">Duration of mobile\/television screen before covid<\/td>\n<td style=\"text-align: center;\" width=\"169\">1-2 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">36.4%<\/td>\n<td style=\"text-align: center;\" rowspan=\"5\" width=\"148\">2.117 (4, 0.714)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">3-4 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">43.9%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">5-7 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">15.2%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">8-10 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">2.5%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">10-12 hrs\/more than 12 hours<\/td>\n<td style=\"text-align: center;\" width=\"100\">2.0%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"5\" width=\"190\">Current duration of mobile\/television screen<\/td>\n<td style=\"text-align: center;\" width=\"169\">1-2 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">27.4%<\/td>\n<td style=\"text-align: center;\" rowspan=\"5\" width=\"148\">3.947 (4, 0.413)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">3-4 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">43.7%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">5-7 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">18.8%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">8-10 hrs<\/td>\n<td style=\"text-align: center;\" width=\"100\">7.1%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">10-12 hrs\/more than 12 hours<\/td>\n<td style=\"text-align: center;\" width=\"100\">3.0%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Practice of yoga and meditation<\/td>\n<td style=\"text-align: center;\" width=\"169\">No<\/td>\n<td style=\"text-align: center;\" width=\"100\">40.2%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">0.662 (2, 0.718)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Occasionally<\/td>\n<td style=\"text-align: center;\" width=\"100\">44.2%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Yes, daily<\/td>\n<td style=\"text-align: center;\" width=\"100\">15.6%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" colspan=\"3\" width=\"459\"><strong>Self-Medication <\/strong><\/td>\n<td style=\"text-align: center;\" width=\"148\"><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Will you use Paracetamol for fever now?<\/td>\n<td style=\"text-align: center;\" width=\"169\">No<\/td>\n<td style=\"text-align: center;\" width=\"100\">11.1%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">0.077 (2, 0.962)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"100\">64.3%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Yes, with doctor&#8217;s consultation<\/td>\n<td style=\"text-align: center;\" width=\"100\">24.6%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"190\">Will you use Diclofenac for fever now?<\/td>\n<td style=\"text-align: center;\" width=\"169\">No<\/td>\n<td style=\"text-align: center;\" width=\"100\">29.6%<\/td>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"148\">6.696 (2, 0.035)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Yes<\/td>\n<td style=\"text-align: center;\" width=\"100\">40.2%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"169\">Yes, with doctor&#8217;s consultation<\/td>\n<td style=\"text-align: center;\" width=\"100\">30.2%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Further, they practice suitable preventive measures and are not panicked about turning COVID-19 positive.\u00a0 The sleep pattern before and during pandemic lockdown did not vary much and appear the same.\u00a0 No significant variation (p&lt;0.05) is found between males and females in their sleep pattern during the lockdown period.\u00a0 About 92% of the male respondents expressed that they tend to sleep for 6-8 hours, and it did not affect their sleep pattern.\u00a0 All the respondents agreed that they spend considerable time with electronic gadgets. The survey respondents spent only a minimum period of 3 \u2013 4 hours watching television or using their mobile phones for\u00a0entertainment despite the more free time.\u00a0 Thus, there was no significant variation(p&gt;0.05) in e-gadget usage time among the respondents.\u00a0 As e-gadgets are gaining momentum through technological improvements and their wide usage among the respondents is not surprising. Equal response to occasional and no yoga and meditation practice indicates a select group of populations alone (15.6% of the respondents) practiced yoga, and such activities need attention.\u00a0\u00a0 Most of the respondents (60%) practice yoga and meditation occasionally or daily, and it enables the respondents to balance over the fear and anxiety factors noted during COVID-19.<\/p>\n<p>By and large, the respondents have an idea of the use of antipyretic and anti-inflammatory drugs.\u00a0 These drugs are readily available at any druggist&#8217;s outlet.\u00a0 Hence, most of the respondents used Paracetamol and Diclofenac. Nevertheless, the respondents preferred to take anti-inflammatory pills only with a physician prescription.\u00a0 A significant variation (p&lt;0.05) observed between male and female respondents on the anti-inflammatory drug usage shows that males preferred self-medication. Thus, the majority of the respondents (65%) undergo self-medication.\u00a0 It indicates they were preparing to manage any high body temperature with a commonly available antipyretic prescription free from a drug store.<\/p>\n<p>Further, we also opine that the respondents are unwilling to step further to COVID-19 examination unless their body condition worsens.\u00a0 About 1\/4th of the population is sensitive, and they took antipyretics only with a physician&#8217;s prescription.\u00a0 It shows this group of people are very much aware of the situation&#8217;s gravity and avoid self-medication.<\/p>\n<p><strong>Discussion and Conclusion<\/strong><\/p>\n<p>Study of the psychological behaviour among Indians during the current Covid situation has been reported before; however research during the Indian festive season is not conducted. Moreover, studies of yoga and meditation to control the psychological behaviour of people in the present pandemic situation have not been reported previously. Further, reports regarding self-medication during the current pandemic situation is not adequately reported.<\/p>\n<p>As per a study conducted by David L. Dawson et al, Covid 19 lockdown in the United Kingdom caused distress, anxiety and stress, reduced wellbeing and loneliness. <sup>11<\/sup><\/p>\n<p>Fizra Balkhi et al reported fear of safety and anxiety due to news on social media among residents of Pakistan during the lockdown of Coivd 19. Few participants in the study avoided watching news as it created fear and panic among themselves. <sup>12<\/sup><\/p>\n<p>Serafini et al reported the prevalence of psychological problems like stress, depression, anxiety, uncertainty and frustration during the current pandemic situation. <sup>13<\/sup><\/p>\n<p>Grazia Maugeri et al reported self-isolation and loneliness during the quarantine period among people in Italy. <sup>14<\/sup><\/p>\n<p>Lengthy lockdowns in Italy for the containment of the novel corona virus infection caused boredom, confinement, isolation and loss of income. <sup>15<\/sup><\/p>\n<p>Leticia Gonz\u00e1lez-Blanco et al reported that anxiety or fear may be caused to following of restrictions like physical distancing and self-isolation during lockdown period in Spain. <sup>16<\/sup><\/p>\n<p>Lindsey M. Rodriguez et al reported that high rates of unemployment, home stay orders and quarantine measures prompted men and women in the United States to resort to more drinking frequencies. <sup>17<\/sup><\/p>\n<p>Matthew T. Tull et al reported in a study conducted in the United States that lockdown contributed to adverse psychological effects like feeling of loneliness, financial concern, anxiety, depression and less social support. <sup>18<\/sup><\/p>\n<p>Mack Sheraton et al reported the occurrence of job stress, anxiety, depression and insomnia during the Covid 19 pandemic.<sup> 19<\/sup><\/p>\n<p>Mahua Jana Dubey et al reported the increased use of alcohol, substance abuse, increased screen time, video gaming and watching porn sites by the people in India in order to combat stress related to long term home stay, panic arising due to fear of contracting the infection, reduced income and losing jobs and increased work from home. <sup>20<\/sup><\/p>\n<p>Miao Chao et al reported that most of the people are exposed to media related to the novel corona virus. Use of media related to negative news impacts the psychological behaviour by causing stress, anxiety and depression. <sup>21<\/sup><\/p>\n<p>As per Qian Guo et al, anxiety and depression were found to be common in Covid 19 infected patients compared to normal ones. <sup>22<\/sup><\/p>\n<p>Seshadri Sekhar Chatterjee et al reported the prevalence of stress, anxiety and depression among doctors as well. <sup>23<\/sup><\/p>\n<p>As per the World Health Organization, self-medication should be controlled and taught correctly to avoid drug issues like antimicrobial resistance which is currently a worldwide problem, especially in developing countries where antibiotics are frequently available without a prescription. <sup>24<\/sup><\/p>\n<p>Self-medication may provide temporary relief, however it may delay the appropriate diagnosis and treatment of underlying diseases. People mostly self-medicate due to lack of time for going to physician. <sup>25<\/sup><\/p>\n<p>Rise in literacy rate among people is creating awareness about OTC medications which is increasing the rate of self-medication. Pharmacists are generally consulted by patients. <sup>26<\/sup><\/p>\n<p>Easy access to OTC drugs in both pharmacy and non-pharmacy outlets is a cause for the increased self-medication. <sup>27<\/sup><\/p>\n<p>It has been reported that lack of time, easy availability, reusing old prescriptions, fast relief, parental advice and lack of knowledge regarding the disease are the most common reasons for self-medication. Paracetamol was one of the most commonly used drug for self-medication. The volunteers in the study were using the drug without proper knowledge about the disease, dosing and frequency of administration side effects and adverse drug reactions. <sup>28<\/sup><\/p>\n<p>Both Paracetamol and Diclofenac belong to the class of NSAID\u2019s which are used as analgesic and anti-inflammatory agents. This category of drugs is frequently used for the relief of acute and chronic pain. They are used for self-medication without consulting physicians, little realizing the possible adverse effects associated with it. Pharmacists can provide guidance for a safe and effective use of drugs; however, it becomes difficult to check all patients requests for them. Adverse effect of these drugs may include mortality. <sup>29<\/sup><\/p>\n<p>Analgesics represent the largest market share among all OTC medications. <sup>30<\/sup><\/p>\n<p>Paracetamol has excellent analgesic and anti-pyretic properties and is considered to be safe and effective for the treatment of various clinical conditions. However, it may cause dose dependent hepatotoxicity and hepatocellular injury leading to centrilobular necrosis. <sup>31<\/sup><\/p>\n<p>Mild illness and prior knowledge about the drug are major reasons for self-medication. Around eighty percent of all drugs are purchased without a prescription in developing nations. <sup>32<\/sup><\/p>\n<p>Consumption of more coffee, alcohol, more tobacco smoking, and a preferred non-vegetarian diet of many respondents in the survey makes us fear that these personal lifestyle habits may predispose them to chronic disease conditions, making them vulnerable to the complications associated with the current pandemic.\u00a0 People follow basic guidelines like wearing a face mask, having room for isolation on symptoms, frequently using hand wash or sanitizer, and minimizing outside visit.\u00a0 It shows the degree of awareness inculcated through media by the government. People are becoming aware and respect the guidelines.<\/p>\n<p>The psychological, behavioral response shows that people are at higher stress due to more socio-economic factors that require further analysis.\u00a0 Their anxiety, fear, panic levels, psychological tantrums are on a larger scale.\u00a0 Sleeplessness has become common owing to their habituation of using e-gadgets.\u00a0 The high usage of e-gadgets well correlates with their sleeplessness.<\/p>\n<p>The practice of yoga and meditation occasionally or daily should have enabled the respondents to balance over the fear and anxiety factors, giving scope for more research on their daily work style, attention, and perception of handling any situation. The current study results show that yoga and meditation are effective tools to manage the stress, tension, panic, and fear arising out of the COVID-19. People may be sensitized over the benefits of yoga and meditation to nurture proper mental and psychological health. Further, we also opine yoga and meditation have beneficial effects.<\/p>\n<p>Increased self-medication of anti-pyrectics and anti-inflammatory drugs among the people is a concern of the study. The results showed a high self-medication rate for Paracetamol and Diclofenac among Indian people in the current pandemic situation. Irrespective of the qualification and socio-economic status, most people use these drugs without a medical consultation to manage fever and body ache symptoms.<\/p>\n<p>Thus, the public should be counseled appropriately and educated regarding the current COVID-19 virus, its modes of transmission, and treatment. They should be urged not to self-medicate themselves, rather see physicians if developing any symptoms like fever, cold, sore throat, or body pains. As we gain a gradual and steady control over the pandemics, we fear the second wave as the virus takes a virulent variant form. Although vaccination is carried extensively, its efficacy requires more studies and research.<\/p>\n<p><strong>Acknowledgement<\/strong><\/p>\n<p>We are thankful to Gitam University, Bangalore for allowing us to carry out the research work.<\/p>\n<p><strong>Conflicts of Interest<\/strong><\/p>\n<p>There is no conflict of interest.<\/p>\n<p><strong>Funding sources<\/strong><\/p>\n<p>There are no Funding source.<\/p>\n<p><strong>References<\/strong><\/p>\n<ol>\n<li>Wang L., Wang Y, Dawei Y and Qingquan L. Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence. Int. J. Antimicrob.\u00a0Agents, 2020; 55:105948.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.ijantimicag.2020.105948\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Mizumoto K., Katsushi K and Gerardo C. Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China. 2019\u20132020; 97: 2020: 96-101.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.ijid.2020.05.091\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Abdulmajeed A. Alkhamees, Saleh A. Alrashed, Ali A. Alzunaydi, Ahmed S. Almohimeed, Moath S. Aljohani. The psychological impact of COVID-19 pandemic on the general population of Saudi Arabia. Comprehensive Psychiatry, 2020; 102: 152192.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.comppsych.2020.152192\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Zhen Z, Qi L, Xiaobing Jiang, Manandhar U, Zhongyu L, Xu Zheng et al, The psychological status of people affected by the COVID-19 outbreak in China. Journal of Psychiatric Research, 2020;129: 1-7.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.jpsychires.2020.05.026\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Dubey S, Biswas P, Ghosh R, Chatterjee S, Dubey M, Chatterjee S et al, Psychosocial impact of COVID-19, Diabetes &amp; Metabolic Syndrome: Clinical Research &amp; Reviews, 14, 2020; 779-788.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.dsx.2020.05.035\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Puwar B. Self medication practice among adults of Ahmedabad city. 2229-337X. 2012;3 Suppl. 2.<\/li>\n<li>Varun Kumar, Abha Mangal, Geeta Yadav, Deepak Raut, Saudan Singh, Prevalence and pattern of self-medication practices in an urban area of Delhi, India. Medical Journal of Dr. D.Y. Patil University 2015; 8 Suppl. 1.<br \/>\n<a href=\"https:\/\/doi.org\/10.4103\/0975-2870.148828\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Abay SM, Amelo W. Assessment of Self-Medication Practices Among Medical, Pharmacy, and Health Science Students in Gondar University, Ethiopia. J Young Pharm 2010; 2 Suppl. 3: 306-310.<br \/>\n<a href=\"https:\/\/doi.org\/10.4103\/0975-1483.66798\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Ana P. Nunes, Isabel M. Costa, Filipa A. Costa. Determinants of self-medication with NSAIDs in a Portuguese community pharmacy. Pharm Pract 2016;14 Suppl. 1:648.<br \/>\n<a href=\"https:\/\/doi.org\/10.18549\/PharmPract.2016.01.648\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Gunther H, Hans-Christoph D, Arne M, Christian M, Hartmut M, Andreas S et al. Self-medication of migraine and tension-type headache: summary of the evidence-based recommendations. The Journal of Headache and Pain 2011;12:201\u2013217.<br \/>\n<a href=\"https:\/\/doi.org\/10.1007\/s10194-010-0266-4\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Dawson D.L., Golijani-Moghaddam N, COVID-19: Psychological flexibility, coping, mental health, and wellbeing in the UK during the pandemic, Journal of Contextual Behavioral Science, 17, 2020; 126-134.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.jcbs.2020.07.010\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Fizra Balkhi, Aamna Nasir, Arhama Zehra, Ramsha Riaz, Psychological and Behavioral Response to the Coronavirus (COVID-19) Pandemic, 2020; Cureus 12(5): e7923.<br \/>\n<a href=\"https:\/\/doi.org\/10.7759\/cureus.7923\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>G. Serafini, B. Parmigiani, A. Amerio, A. Aguglia, L. Sher, and M. Amore, The psychological impact of COVID-19 on the mental health in the general population, QJM: An International Journal of Medicine, 2020, 529\u2013535.<br \/>\n<a href=\"https:\/\/doi.org\/10.1093\/qjmed\/hcaa201\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Grazia Maugeri, Paola Castrogiovanni, Giuseppe Battaglia, Roberto Pippi , Velia D&#8217;Agata, Antonio Palma et al, The impact of physical activity on psychological health during Covid-19 pandemic in Italy, Heliyon, 6, 2020; e04315.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.heliyon.2020.e04315\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Kenneth I. Pakenham, Giulia Landi, Giada Boccolini, Annalisa Furlani, Silvana Grandi, Eliana Tossani, The moderating roles of psychological flexibility and inflexibility on the mental health impacts of COVID-19 pandemic and lockdown in Italy, Journal of Contextual Behavioral Science, 17, 2020, 109-118.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.jcbs.2020.07.003\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Leticia G.B., Francesco D.S. , Leticia G.A., Lorena de la Fuente-Tom\u00e1s, Carlota M.L., Gonzalo P et al, COVID-19 lockdown in people with severe mental disorders in Spain: Do they have a specific psychological reaction compared with other mental disorders and healthy controls?, Schizophrenia Research; 2020.<\/li>\n<li>Lindsey M. Rodriguez, Dana M. Litt, Sherry H. Stewart, Drinking to cope with the pandemic: The unique associations of COVID-19-related perceived threat and psychological distress to drinking behaviors in American men and women, Addictive Behaviors, 2020; 110, 106532.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.addbeh.2020.106532\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Matthew T. Tull, Keith A. Edmonds, Kayla M. Scamaldo, Julia R. Richmond, Jason P. Rose, Kim L. Gratz, Psychological Outcomes Associated with Stay-at-Home Orders and the Perceived Impact of COVID-19 on Daily Life, Psychiatry Research, 289, 2020; 113098.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.psychres.2020.113098\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Sheraton M, Deo N, Dutt T, Surani S, Hall-Flavin D, Kashyap R, Psychological effects of the COVID 19 pandemic on healthcare workers globally: A systematic review, Psychiatry Research, Psychiatry Research, 292; 2020, 113360.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.psychres.2020.113360\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Dubey M.J., Ghosh R, Chatterjee S, Biswas P, Chatterjee S, Dubey S, Diabetes &amp; Metabolic Syndrome: Clinical Research &amp; Reviews, 14, 2020; 817-823.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.dsx.2020.06.008\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Miao Chao, Dini Xue, Tour Liu, Haibo Yang, Brian J. Hall et al, Media use and acute psychological outcomes during COVID-19 outbreak in China, Journal of Anxiety Disorders, 74, 2020; 102248.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.janxdis.2020.102248\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Qian G, Yuchen Z, Jia Shib, Jijun W, Guanjun Li, Chunbo Li et al, Immediate psychological distress in quarantined patients with COVID-19 and its association with peripheral inflammation: A mixed-method study, Brain, Behaviour, and Immunity, 2020; 88:17-27.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.bbi.2020.05.038\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Chatterjee S.S., Bhattacharyya R, Bhattacharyya S, Gupta S, Das S, Banerjee B.B. et al, Attitude, practice, behaviour, and mental health impact of COVID\u201119 on doctors, Indian Journal of Psychiatry, 2020;62:257-65.<br \/>\n<a href=\"https:\/\/doi.org\/10.4103\/psychiatry.IndianJPsychiatry_333_20\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Deborah T.E., Ayodeji A.F., Opeoluwa E.O., Theophilus O.E., Elizabeth F.O., and Charles O.F.. Assessment of Self-Medication Practices and Its Associated Factors among Undergraduates of a Private University in Nigeria. Journal of Environmental and Public Health 2018; 5439079.<br \/>\n<a href=\"https:\/\/doi.org\/10.1155\/2018\/5439079\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Alves Ferreira Souza L, Camila Dam\u00e1zio da Silva, Gisely Carvalho Ferraz, F\u00e1tima Aparecida Emm Faleiros Sousa and L\u00edlian Varanda Pereira. The Prevalence and Characterization of Self-Medication for Obtaining Pain Relief Among Undergraduate Nursing Students. Rev. Latino-Am. Enfermagem 2011;19 Suppl. 2:245-51.<br \/>\n<a href=\"https:\/\/doi.org\/10.1590\/S0104-11692011000200004\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Paudel S and Aryal B. Exploration of self-medication practice in Pokhara valley of Nepal. BMC Public Health 2020; 20: 714.<br \/>\n<a href=\"https:\/\/doi.org\/10.1186\/s12889-020-08860-w\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Thapa S, Ravi Shankar P, Subish P, Hisham A. Promoting rational self\u2011medication of nonsteroidal anti\u2011inflammatory drugs in Nepal. Archives of Pharmacy Practice 2016;7:61-6.<br \/>\n<a href=\"https:\/\/doi.org\/10.4103\/2045-080X.181035\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Chakraborty T, Baidya M, Chakraborty A and Baidya M. Paracetamol- a self medicated popular drug abuse by young student community. Biomedical &amp; Pharmacology Journal 2009; 2 Suppl 1: 99-103.<\/li>\n<li>Doomra R, Goyal A. NSAIDs and self\u2011medication: A serious concern. Journal of Family Medicine and Primary Care, 2020; 9:2183-5.<br \/>\n<a href=\"https:\/\/doi.org\/10.4103\/jfmpc.jfmpc_201_20\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Perrot S, Jacques C, Louis P, Quentin B, Robert C, Jean\u2010Yves M et al. Self\u2010medication in pain management: The state of the art of pharmacists\u2019 role for optimal Over\u2010The\u2010Counter analgesic use. European Journal of Pain, 2019; 23:1747\u20131762.<br \/>\n<a href=\"https:\/\/doi.org\/10.1002\/ejp.1459\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Maham T and Fakhar ud Din. Poor knowledge of university students regarding paracetamol; a wakeup call for public healthcare practitioners. Cogent Medicine 2017;4: 1320848.<br \/>\n<a href=\"https:\/\/doi.org\/10.1080\/2331205X.2017.1320848\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Shafie M, Eyasu M, Muzeyin K, Worku Y, Sagrario Martin-Aragon. Prevalence and determinants of self-medication practice among selected households in Addis Ababa community. Plos One 2018.<br \/>\n<a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0194122\" target=\"_blank\">CrossRef<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Introduction In December 2019, few cases of an unidentified pneumonia  [&#8230;]<\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[94],"tags":[],"class_list":["post-41838","post","type-post","status-publish","format-standard","hentry","category-vol14no4"],"_links":{"self":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/41838","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/comments?post=41838"}],"version-history":[{"count":5,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/41838\/revisions"}],"predecessor-version":[{"id":42627,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/41838\/revisions\/42627"}],"wp:attachment":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/media?parent=41838"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/categories?post=41838"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/tags?post=41838"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}