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. 2020 Sep 3;15(9):e0238761. doi: 10.1371/journal.pone.0238761

A cross-sectional study of psychological wellbeing of Indian adults during the Covid-19 lockdown: Different strokes for different folks

Anupam Joya Sharma 1,*, Malavika A Subramanyam 1
Editor: Geilson Lima Santana2
PMCID: PMC7470332  PMID: 32881946

Abstract

The psychological impacts of the lockdown due to the Covid-19 pandemic are widely documented. In India, a family-centric society with a high population density and extreme social stratification, the impact of the lockdown might vary across diverse social groups. However, the patterning in the psychological impact of the lockdown among LGBT adults and persons known to be at higher risk of the complications of Covid-19 (such as persons with comorbidities or a history of mental illness) is not known in the Indian context. We used mixed methods (online survey, n = 282 and in-depth interviews, n = 14) to investigate whether the psychological influence of the lockdown was different across these groups of Indian adults. We fitted linear and logistic regression models adjusted for sociodemographic covariates. Thematic analysis helped us identify emergent themes in our qualitative narratives. Anxiety was found to be higher among LGBT adults (β = 2.44, CI: 0.58, 4.31), the high-risk group (persons with comorbidities) (β = 2.20, CI:0.36, 4.05), and those with a history of depression/loneliness (β = 3.89, CI:2.34, 5.44). Persons belonging to the LGBT group reported a greater usage of pornography than the heterosexuals (β = 2.72, CI: 0.09, 5.36) during the lockdown. Qualitative findings suggested that LGBT adults likely used pornography and masturbation to cope with the lockdown, given the limited physical access to sexual partners in a society that stigmatizes homosexuality. Moreover, both qualitative and quantitative study findings suggested that greater frequency of calling family members during lockdown could strengthen social relationships and increase social empathy. The study thereby urgently calls for the attention of policymakers to take sensitive and inclusive health-related decisions for the marginalized and the vulnerable, both during and after the crisis.

Introduction

The coronavirus disease (Covid-19), caused by the novel coronavirus SARS-CoV-2, first emerged in Wuhan, China during late 2019 and was labeled a public health emergency by the World Health Organization [1]. The recent and rapid increase in the number of Covid-19 cases, 16,523,815 as on 29th July 2020 globally [2], has increased panic across countries [3]. Every country affected by the virus adopted several measures in order to curb its spread. India, home to 1.3 billion people, announced a nationwide “lockdown” on 25th March 2020 [4]. The lockdown restricted citizens’ physical mobility, advocated social distancing norms, and limited a majority of public services while allowing the essential ones. However, these measures of sheltering-in-place, equivalent to an extended quarantine, likely created a stressful environment for the citizens, given the sudden disruption in their daily routines [5], [6]. These disruptions could contribute towards adverse psychological outcomes such as post-traumatic stress symptoms [7] and aggressive behaviors [8]. For instance, one Indian study by Gautam & Sharma [9], highlighted that the lockdown could increase the psychological toll on the Indian academic fraternity because of the disruption in their work, which additionally brings financial instability to the contractual staff. However, the impact of a lockdown might vary across diverse social groups. Individuals who are living alone or away from family (or loved ones), those suffering from economic losses, or having a history of negative psychological states, could be at a higher risk of depression, loneliness, and anxiety disorders during the lockdown.

In addition to these sources of stress that could get exacerbated during the lockdown, certain social groups may have to deal with stress due to identifying as a member of a minority community in their society. Meyer’s Minority Stress model [10] explains this minority stress as arising from the risk of social shunning, discrimination based on identity, or the consequent efforts to hide minority status. One such minority group that could be vulnerable to the effects of the lockdown is the LGBT community. According to Meyer’s Minority Stress model, LGBT individuals are exposed to unique stressors rooted in societal structure and related to their minority identity, which could combine with other stressors to impact their psychological wellbeing [10]. Therefore, we posit that persons belonging to the LGBT community could suffer from increased stress during lockdown.

Further, the restrictions on physical mobility might have not only disrupted the social lives of many individuals but also paused their sexual lives [11, 12]. To cope with these disruptions in sexual lives, in addition to the on-going stress and boredom due to the lockdown, individuals could also rely on pornography [11, 13]. Reports revealed a 33% average increase in porn-watching during the lockdown period (March 2020) in India [14]. Moreover, the time spent indoors during the lockdown could also enable adults to explore their body and experience pleasure through masturbation [15]. Pornography use and masturbation are recommended ways of meeting sexual needs without the risk of contracting SARS-CoV-2 infection during the pandemic [12], although prolonged and habitual usage of pornography and masturbation could have negative consequences on sexual satisfaction [16].

The psychological impact of the lockdown could also be higher among individuals with a known higher, versus lower, risk of experiencing complications of Covid-19, such as the elderly or those with co-morbid conditions (for example, persons with chronic respiratory illnesses and diabetes). The extent of daily exposure to the pandemic may also matter: A study from Wuhan, China, found a high prevalence of depressive symptoms among frontline healthcare workers [17]. Similarly, another study from Australia showed that people living in high risk infection zones reported greater psychological distress than those living in uninfected areas [18]. These findings suggest that a higher perceived risk of Covid-19 could increase anticipatory fear and anxiety. This fear, depression, loneliness, and anxiety during the time of crisis not only could affect mental health but also adversely affect one’s lifestyle and diet, ultimately impacting physical health [19]. Previous studies have shown that depression (or anxiety) worsens sleep disorders [20] and eating disorders [21].

Despite these risks, several personal and social resources could be available for individuals to cope with the adverse effects of the crisis. In a family-centric country such as India, family is regarded as a vital social support [22], especially during a crisis. Living with family/relatives (or regular virtual interactions through phone or online media) could act as social support which could result in lowering stress during the lockdown. Of note, an opportunity to spend extended time with family members could strengthen family bonds and enhance work-family balance, leading to a better quality of life [23]. While the lockdown period may be spent in fulfilling varied responsibilities, it could also have created opportunities for many to spend time with family (and loved ones) and potentially improve the quality of family relationships through physical or virtual proximity. Nevertheless, these opportunities might act as a situational coercion for a few individuals (who have a history of family maladjustment or family conflict) and induce additional stressors, further increasing their vulnerability to adverse psychological outcomes during a lockdown.

In addition to these social resources, several individual-level characteristics such as the nature of employment, access to material resources; and, psychological resources such as resilience-coping and optimism might be beneficial in minimizing the effect of this crisis [24, 25]. Findings of a recent study from China suggest that positive personal-level characteristics such as emotional-control and optimism could also help minimizing the negative effects of the Covid-19 crisis [26].

Although these concerns warrant attention in the Indian context, we could locate only a few studies reporting the prevalence of depression and anxiety during the Covid-19 crisis in India, including a comparison across age and gender groups [27, 28]. Moreover, these studies did not examine the prevalence of these outcomes across other social groups, including the vulnerable and the hidden group of LGBT adults. The rapid increase in the number of Covid-19 cases in India and the disruptions due to the lockdown, warrant investigating the processes explaining any social patterning in the psychosocial wellbeing of Indian citizens during this crisis. In response, our study of Indian adults unpacks how social factors such as sexual orientation, relationship status, and residence in high-infection areas, could be linked with several psychological outcomes during the lockdown. We also investigated whether a higher risk of Covid-19 complications and a history of depression or loneliness worsens the mental health impact of the lockdown. We further explored the complex processes explaining if and how anxiety or depressive symptoms were related to sleeping and eating habits during the lockdown. We also investigated the role individual-level resources played in coping with the effects of the crisis. Because the lockdown likely changed the nature of social interactions, we additionally examined if this brought any change in how individuals viewed the world and in their social empathy, which could be an important psychological resource for overall wellbeing and quality of life.

Research questions

The primary research questions explored in this study were:

  1. Do levels of psychological outcomes (depressive symptoms, anxiety, addiction to the Internet, compulsive consumption of pornography, and experiences of hostile attitudes) and sexual behaviors (frequency of masturbation) vary across sexual orientation, relationship status, groups with varying risk of Covid-19 complications, history of depression/loneliness, and staying in a state with a high number of Covid-19 cases? If yes, what processes explain these differences?

  2. Are anxiety and depressive symptoms related to changes in eating and sleeping habits among Indian adults during the lockdown?

In addition to the above primary questions, inspired by the initial two qualitative interviews, we also addressed the following in our study:

  1. How are sharing vulnerabilities (stress and depression) with loved ones, and the frequency of interaction with family related to strengthening of social bonds and social empathy during the lockdown?

Methods

Study design

We followed a convergent mixed methods approach [29, 30] in our study. First, two exploratory qualitative in-depth interviews were conducted to refine our research questions. The narratives of the two participants (one male and one female participant) guided us in identifying key factors affecting their mental wellbeing during the time of the lockdown. These participants shared their frustrations related to the lockdown, the disruption in their routine work, the chaos around them regarding the increase in number of cases, their challenges in general, and their overall feeling about the entire crisis situation. Based on the data from these two interviews, we constructed our online quantitative survey. Data for the study were simultaneously collected through the online survey and qualitative interviews. However, whenever the data from the quantitative survey revealed an interesting picture, we dug deeper about it in our qualitative interviews to understand its context and complexity.

Quantitative survey

We carried out an online survey from 9th May to 15th May 2020. Our survey questionnaire in the form of an anonymous Google form was circulated through several Facebook groups as well as WhatsApp and Instagram contacts. We further used a snowball sampling procedure to increase the number of responses. The authors requested their family members, friends, colleagues, and professional networks to further spread the form among their networks. The introductory passage in the Google form briefed the participants about the broad objective of the study and requested their voluntary participation. Further, the passage also promised anonymity and confidentiality to the participants. Once the participants read the introductory passage, they were requested to proceed to fill up the survey. The participants’ agreement to take part in the survey after they were given an opportunity to carefully and unhurriedly review the information about all relevant information about the study, the voluntary nature of participation, their right to withdraw at any time, and the confidentiality of their data, was considered to be implied consent. Due to the online nature of the survey, we could not limit its spread to a specific geography. However, we specified our eligibility criteria (Indian citizen, presently residing in India, aged 18 years or above, and willing to fill the form in English) in the introductory passage to maximize the chance that we only got responses from India. We received responses from 282 participants.

Variables and measures

Response variables

Anxiety. We measured anxiety using the General Anxiety Disorder (GAD-7) scale [31]. This widely used scale includes items such as “Over the past 2 weeks how often have you been bothered by the following problems: Feeling nervous, anxious or on edge?” The responses were recorded on a 4-point Likert scale ranging from “not at all (0)” to “nearly every day (3).” We found a good internal consistency of the GAD-7 scale in our sample (Cronbach’s alpha = 0.91). The aggregate of the item scores reflected the total anxiety score.

Depressive symptoms. We assessed depressive symptoms of our participants using the short version of the CESD-D scale, a 10-item scale [32]. The scale includes items such as “In the past week how often have you felt any of these: I had trouble keeping my mind on what I was doing.” Two items were reverse scored. The responses to all the items varied from “less than a day” (0) to “5–7 days” (3). We later discovered that responses to one item (I was bothered by things that usually do not bother me) did not get recorded possibly due to some technical error in the Google form. However, following Siddiqui [33] and Hawthorne et al. [34], we imputed the person-mean score for the missing item. We found good internal consistency of the scale (including the imputed score) in our sample (Cronbach’s alpha = 0.86). The item total was used as the depressive symptom score.

Symptoms of the Internet addiction. We used the Internet Addiction Test (IAT) scale [35] to measure symptoms of addiction of the Internet. The scale includes 12 items such as “Over the past 2 weeks, how often have your felt: find yourself saying “just a few more minutes” when online?” Responses varied from rarely (1) to always (5). The Cronbach’s alpha was found to be 0.92. The total score of all 12 items yielded the Internet addiction score.

Compulsive consumption of pornography. The Compulsive Pornography Consumption (CPC) scale [36] was used to assess the symptoms of usage of pornography. The 6-item scale included items such as “Please indicate how these statements described you during the past 2 weeks: I thought of pornography (porn) when I was trying to focus on other things.” The responses were recorded on a 7-point Likert scale ranging from never (1) to very frequently (7). The Cronbach’s alpha was 0.87 in our sample. The sum total of the scores of all items resulted in the pornography consumption score.

Experiences of hostility. A single item was used to measure experiences of hostility during the lockdown: Have you been facing the following problems in the last 2 weeks? You faced a hostile situation (including emotional, physical, and mental violence) from anyone in the place you are currently in. Responses were dichotomized to yes and no.

Change in food habits (time and consumption). We assessed any change in the participants’ food habits using a single item: Have you been facing the following problems in the last 2 weeks? Food patterns (type of foods consumed/timings) have changed. Responses varied from not at all (1) to always (5).

Sleeping problems. Sleeping problems were measured using a combination of two items, have you been facing the following problems in the last 2 weeks? Your sleep cycle has changed drastically, and You have difficulty in falling asleep. The responses varied from not at all (1) to always (5). The additive score yielded the level of sleeping problem with scores ranging from 2 to 10.

Frequency of masturbation. Frequency of masturbation was assessed using a single item, how often are you engaging yourself in masturbation activities in the last 4 weeks? The responses varied from never (1) to multiple times a day (6).

Social empathy and quality of social relationships. Social empathy was operationalized based on the participants’ choice of several options offered. The selection of any of the following options: You have become more socially responsible; you have become more active in neighborhood associations/groups or other social groups near your residence; You have been thinking about the vulnerable in our society and tried to do at least something for them (donating or helping in other ways) indicated increased social empathy coded as 1 (otherwise 0). Similarly, the quality of social relationships was recorded as 1 (improved), if the participants selected even one of the following options: You have started liking to spend time with your closed ones more than before; you have strengthened your relationship with your friends; and you have strengthened your relationship with your family/partner, otherwise as 0.

Predictors

Sharing stress and anxiety with loved ones. If participants selected “yes” to the question have you shared your stress and vulnerability with loved ones during the lockdown, it was coded as 1, else as 0.

Resilience coping. We assessed resilience coping of the participants using the 4-item Brief Resilience Coping Scale (BRCS) [37]. The scale included items such as I look for creative ways to alter difficult situations, with responses varying from does not describe me at all (1) to describes me very well (5). The aggregated score of all items reflected the participants’ resilience. The Cronbach’s alpha was 0.82.

Optimism. Optimism was measured using the 10-item Revised Life Orientation Test (LOT-R) scale [38]. It included items such as in uncertain times, I usually expect the best while responses ranged from, I disagree a lot (1) to I agree a lot (5). Four items were fillers and were removed from the analysis. The aggregate of all item scores resulted in the optimism score. We found moderate internal consistency of the scale in our sample (Cronbach’s alpha = 0.55).

Change in frequency of calling family members. We compared the frequency of calling family members during the lockdown with that during October 2019-March 2020. We treated this as an indicator of the change in frequency of calling family members during the lockdown. We coded it as 1 if the frequency increased, otherwise as 0.

High-risk group. Individuals who reported having any of the following: chronic respiratory illnesses, diabetes, heart disease, hypertension, or a weakened immune system, were categorized as belonging to the “high-risk group (1)”, else as “low-risk group (0).”

History of depression/loneliness. We grouped the participants who reported having a history of depression or loneliness as “group with history of depression/loneliness (1)”, otherwise “group with no history of depression/loneliness (0).”

Categories of state exposed to Covid-19. We referred to data from Ministry of Health and Family Welfare, India [39] for categorizing the states as per the counts of Covid-19 cases. We coded Maharashtra (with cases more than 25000 during the data collection) as “highest exposure;” Tamil Nadu, Gujarat and New Delhi (with around 10,000 cases) as “high exposure;” Rajasthan, Madhya Pradesh, and Uttar Pradesh (near to 5000 cases) as “moderate exposure”; and rest of the states as “low exposure.”

Sociodemographic characteristics. We also collected information on age (18-29/30-44/45-59/and above 60 years), gender (male/female/others), sexual orientation (straight/queer), relationship status (opposite-sex relationship/same-sex relationship/single/complicated), place of residence (rural/urban), educational qualification (postgraduate/graduate or diploma/12th or lower), and annual income in Indian Rupees (0–3,00,000 (approximately, $0- $4000)/3,00,000–10,00,000 ($4000-$13500)/10,00,000–20,00,000($13500-$27000)/above 20,00,000($27000 and above)), and the state of residence.

Qualitative strand

We conducted 14 in-depth interviews from 10th May through 17th May 2020. We circulated an advertisement inviting participants for telephonic interviews through social media (Facebook, Instagram, and Twitter) and personal contacts of the authors. The advertisement included a brief introduction about the study, contact information of the first author (also the interviewer) the nature of the interviews, and about the approximate length of the interview. The introduction also informed the participants about the sensitive nature of the topic (which included questions on their personal/intimate lives) and asked their preferences of the gender of the interviewer. However, none of the participants shared concerns being interviewed by AJS (a man). Interested participants contacted AJS through email/Facebook/WhatsApp showing their willingness to participate. At that time, AJS briefed the participants about the study; about their anonymity and confidentiality of data; and that the interview would be terminated at any point the participant showed discomfort. AJS and the participants mutually agreed on a time for the telephonic interview. Before beginning the interview, AJS once again sought informed verbal consent. In addition to verbal consent, AJS also sought consent to audiotape the interviews. Four participants were reluctant to get the interviews audiotaped. Detailed notes (including several quotes) were taken during these interviews. All interviews began with broader questions such as “How do you feel about the entire situation (of Covid-19 and lockdown)?” AJS was cautious while asking personal questions, especially about romantic and sexual lives of the participants. AJS ensured participants’ comfort, not only while asking sensitive questions, but throughout the interview process, by taking a pause and asking, “should we proceed?” However, there were no instances where there arose the need to terminate any interview. All participants shared their emotions, vulnerabilities, moods, challenges, change of lifestyle, and perceived wellbeing during the lockdown (and the Covid-19 crisis). Specific comments regarding the mood and context were noted by AJS to give rigor to the analysis. At the end of the interviews, the participants were requested to share about the study with their peers and network, seeking their participation. The length of the interviews ranged from 28 minutes to 1 hour 40 minutes.

Eight participants were recruited through the advertisement while 2 participants were recruited through snowball sampling. Additionally, we allowed the participants of the online quantitative survey to express interest for a follow-up telephone call. We recruited 4 participants through this method. Different methods of recruitment helped us get a socially diverse sample in a short time.

In addition to the interviews, we collected data through an open-ended question in the online quantitative survey. This allowed the participants to share their concerns related to the pandemic situation (and lockdown). Extracted quotes were used in our qualitative analysis.

Analyses

Quantitative analysis

The distribution of all continuous variables was checked for normality [40]. Next, we fitted separate multivariable linear regression models to estimate the association of the independent variables (sexual orientation, relationship status, high-risk group, and living in a state with high number of cases) with psychological outcomes (anxiety, depressive symptoms, Internet addiction and pornography consumption) adjusted for the sociodemographic covariates—age, gender, annual income, educational qualification, place of residence—and for individual personal resources (optimism and resilience). We fitted separate logistic regression models to estimate the associations of sexual orientation and relationship status with the binary variable indicating the experience of hostility, adjusting for all sociodemographic variables.

We also fitted multivariable linear regression models to estimate the association of anxiety and depressive symptoms with changes in sleep and food cycles (separate models), adjusted for the sociodemographic covariates and personal resources.

Additionally, we fitted separate logistic regression models to estimate the association of increased frequency of calling family members with social empathy and the quality of social relationships adjusted for sociodemographic covariates. For all our analyses, alpha was set at 0.05. All statistical models were run in Stata version 12 [41].

Qualitative analysis

We chose a thematic analysis approach [42] to analyze the qualitative data. The analysis began with AJS (who also conducted all the interviews) familiarizing himself with the data by spending prolonged time in re-listening to the audiotaped interviews and reviewing the transcript excerpts. The participants’ narratives about their emotional responses to the situation; their description of how the lockdown affected their routine, relationships, and social responsibilities; their sense of self (including their body); their perspective on life; their coping mechanisms; and, views towards a “new world” guided the coding process. Four themes emerged from these indexed codes [43] and the detailed comments. Additionally, NVT (an external researcher) categorized the themes emerging from the codes. The coding scheme was discussed among the two authors (and NVT), and after critical analysis, the themes were confirmed with a high inter-coder reliability [44]. Follow-up interviews with two participants were carried out separately for respondent validation [45]. Additionally, several quotes from the open-ended section of the online survey were included in the themes that emerged from the qualitative interviews allowing better representation of all the voices heard.

Both quantitative and qualitative findings carried equal weight in this study. The qualitative themes that emerged gave richer context to the quantitative results during the interpretation phase.

Positionality

The study was motivated by previous work of AJS and MAS on the queer community, and their understanding of the community’s unique vulnerabilities. Apart from this, the lockdown has severely restricted the ability of AJS and MAS, not only in terms of physical mobility but also in terms of distance from loved ones and has affected their productivity. Interviews by AJS were conducted with this frame of reference.

Ethical considerations

The study was approved by the Institutional Ethics Committee, IIT Gandhinagar, India. Utmost precaution was taken by AJS while conducting the telephonic interviews. The participants were informed about the sensitive nature of the questions and were informed that they could skip any question. AJS constantly monitored the mood of the conversation and frequently asked the participants about their willingness to continue. Names of all the participants have been changed in this study to protect anonymity.

Results

Quantitative results

We analyzed a sample of 282 Indian adults who responded to the online survey (Table 1). A majority (~75%) of our participants were 30 years or younger. Around 60% identified themselves as male, and about 77% reported to be heterosexuals. Only a small proportion (~12%) of our participants had education less than 12th standard (high school). Greatest proportion (~81%) of the participants resided in urban areas.

Table 1. Sociodemographic characteristics of participants of the quantitative survey (n = 282).

Frequency (%) Anxiety, Mean (SD) Depressive symptoms, Mean (SD) Addiction to Internet, Mean (SD) Compulsive consumption of pornography, Mean (SD) Experiences of hostility (%) Frequency of masturbation, Mean (SD)
Age group (in years)
18–29 212 (75.71) 7.07 (5.84) 12.65 (7.13) 29.18 (11.53) 13.43 (8.54) 30.77 3.48 (1.59)
30–44 48 (17.14) 4.02 (3.68) 10.21 (7.39) 22.65 (8.19) 12.09 (6.58) 31.11 2.93 (1.69)
45–59 15 (5.36) 6.28 (6.86) 9.87 (9.05) 29.55 (16.31) 11.71 (8.44) 20 2.36 (1.69)
60 and above 5 (1.79) 5.8 (6.68) 11.48 (9.95) 29 (12.28) 12.6 (9.04) 40 1.6 (1.34)
Gender
Male 175 (62.50) 6.15 (5.82) 11.31 (7.36) 28.43 (11.33) 14.90 (8.37) 28.57 3.70 (1.60)
Female 102 (36.43) 6.90 (5.25) 13.14 (7.06) 27.43 (11.68) 10.08 (7.08) 31.25 2.61 (1.48)
Other 3 (1.07) 12.33 (9.07) 19.62 (4.62) 25.33 (13.05) 11.66 (8.14) 100 3.67 (2.52)
Sexual orientation
Heterosexual 218 (77.86) 5.95 (5.44) 11.72 (7.39) 27.26 (11.55) 12.10 (8.02) 27.72 2.94 (1.58)
LGBT adults 62 (22,14) 8.23 (6.18) 13.46 (6.89) 30.63 (10.75) 16.44 (8.06) 39.66 4.49 (1.30)
Relationship status
Opposite-sex relationship 95 (34.55) 7.18 (6.11) 12.5 (8.19) 26.63 (12.16) 11.66 (7.42) 31.11 2.86 (1.60)
Same-sex relationship 4 (2.18) 6.6 (3.36) 11.33 (7.30) 27.2 (10.33) 21.8 (6.22) 20 5 (0.82)
Single 174 (63.27) 6.08 (5.45) 11.80 (6.87) 28.69 (11.09) 13.59 (8.54) 29.01 3.49 (1.63)
Educational qualification
Postgraduate 160 (57.35) 6.60 (5.88) 12.25 (7.52) 26.99 (11.46) 12.24 (7.53) 35.29 3.10 (1.60)
Graduate/Diploma 94 (33.69) 6 (5.44) 11.78 (7.15) 28.72 (10.98) 14.18 (8.98) 22.62 3.51 (1.68)
12th or lower 25 (8.96) 7.04 (5.20) 12.04 (6.72) 31.14 (11.65) 14.90 (9.55) 27.27 3.62 (1.71)
Annual income (in Indian Rupees)
0–3,00,000 56 (20.82) 6.48 (5.01) 13.41 (7.41) 29.22 (12.29) 14.17 (8.13) 25.53 3.36 (1.58)
3,00,000–10,00,000 115 (42.75) 7.27 (6.20) 12.85 (6.94) 29.31 (11.55) 13.65 (8.41) 35.19 3.48 (1.59)
10,00,000–20,00,000 60 (22.30) 5.93 (5.29) 10.41 (6.61) 26.19 (10.14) 12.45 (8.55) 30.51 3.15 (1.58)
above 20,00,000 38 (14.13) 5.32 (5.55) 10.78 (8.12) 24.19 (10.53) 11.30 (7.39) 24.32 2.91 (1.99)
Place of residence
Rural 53 (18.93) 6.73 (5.52) 12.48 (6.81) 29.26 (11.71) 12.37 (6.98) 37.5 3.46 (1.60)
Urban 227 (81.07) 6.42 (5.74) 12.01 (7.42) 27.76 (11.39) 13.24 (8.47) 28.77 3.26 (1.66)

Anxiety and depressive symptoms across social groups

Our fully adjusted models (adjusted for gender, age, educational qualification, income, and place of residence) (see Table 2) found that GAD scores were higher, on average, in LGBT adults (β = 2.44, CI: 0.58, 4.31) versus heterosexuals, high-risk group (β = 2.20, CI:0.36, 4.05) versus low-risk group, and participants with history of depression/loneliness (β = 3.89, CI:2.34, 5.44) versus participants with no history of depression/loneliness. However, GAD scores were lower for single participants (β = -2.35, CI: -4.30, -0.39) than those who were in opposite-sex relationships. We could not find statistically significant associations of living in a state reporting a high count of Covid-19 cases with anxiety symptoms.

Table 2. Associations of sexual orientation, relationship status, risk of Covid-19 complications, history of depression/loneliness, and state’s exposure to Covid-19 with anxiety, depressive symptoms, addiction to the Internet, and compulsive consumption of pornography (regression coefficients (β), and 95% confidence intervals).

Additionally, associations of sexual orientation and relationship status with experiences of hostility during the lockdown among Indian adults (adjusted odds ratios (AOR), 95% confidence intervals).

Anxiety* Depressive symptoms* Addiction to Internet* Compulsive consumption of pornography* Experiences of hostility (AOR)#
Sexual orientation
Heterosexual (ref)
LGBT adults 2.440 (0.567, 4.313) 1.988 (-0.464, 4.441) 3.638 (-0.075, 7.352) 2.724 (0.089, 5.358) 1.632 (0.824, 3.231)
Relationship status
Opposite-sex relationship (ref)
Same-sex relationship -0.281 (-6.238, 5.675) -2.776 (-10.318, 4.766) -2.701 (-14.234, 8.830) 9.341 (0.976, 17.705) 0.529 (0.052, 5.333)
Single -2.347 (-4.306, -0.389) -2.029 (-4.506, 0.446) 0.461 (-3.315, 4.238) 0.541 (-2.168, 3.251) 0.859 (0.439, 1.680)
Risk of Covid-19 complications
Low-risk group (ref)
High-risk group 2.203 (-0.360, 4.046) 0.832 (-1.565, 3.230) 0.458 (-3.234, 4.151) 2.805 (0.223, 5.387) -
History of depression/loneliness
No history (ref)
with history 3.892 (2.343, 5.440) 4.341 (2.378, 6.304) 4.547 (1.466, 7.628) 2.635 (0.406, 4.863) -
Group of states
Highest exposure (ref)
High exposure -1.625 (-4.490, 1.239) -1.135 (-4.827, 2.557) -3.488 (-8.992, 2.015) 0.753 (-3.160, 4.668) -
Moderate exposure -1.244 (-4.374, 1.885) -0.086 (-4.072, 3.899) -2.286 (-8.234, 3.661) -0.532 (-4.830, 3.766) -
Lowest exposure -0.972 (-3.885, 1.939) 0.561 (-3.160, 4.284) -3.872 (-9.423, 1.677) 1.491 (-2.485, 5.467) -

* Adjusted for age, gender, income, education, place of residence, optimism, and resilience.

# Adjusted for age, gender, income, education, and place of residence.

Unsurprisingly, we found a statistically significant association of a history of depression/loneliness with increased depressive symptoms during the lockdown (β = 4.34, CI: 2.38, 6.30), independent of other covariates. However, we could not find any evidence linking sexual orientation, relationship status, living in a state reporting a high count of Covid-19 cases, and belonging to a high-risk group, with depressive symptoms.

Addiction to the Internet, consumption of pornography, and frequency of masturbation across groups

We found that a history of depression/loneliness was statistically significantly associated with higher Internet-addiction symptoms (β = 4.55, CI: 1.47, 7.63), independent of all other covariates. However, we could not find evidence that other predictors were associated with Internet addiction.

Moreover, our fully adjusted models showed greater symptoms of pornography usage, on average, in LGBT adults (β = 2.72, CI: 0.09, 5.36) versus heterosexuals, in the high-risk group (β = 2.80, CI: 0.22, 5.39) versus low-risk group, in participants in same-sex relationships (β = 9.15, CI: 0.93, 17.38) versus opposite-sex relationships, and among those with a history of depression/loneliness (β = 2.63, CI: 0.41, 4.86) versus no such history. Additionally, our adjusted models showed that LGBT adults (β = 1.39, CI:0.94, 1.86) and participants in same-sex relationships (β = 2.07, CI = 0.50, 3.63) reported a higher frequency of masturbation during the lockdown compared to their heterosexual peers.

Experiences of hostility

We did not find statistical evidence that experiences of hostility differed across sexual orientation and relationship status. Although statistically not significant, LGBT adults (versus heterosexuals) had higher odds of experiencing hostility (AOR = 1.63, CI: 0.82, 3.23) during the lockdown independent of the sociodemographic covariates.

Association of anxiety and depressive symptoms with food and sleep habits

Our fully adjusted models (adjusted for sociodemographic variables and positive resources) (see Table 3) showed that higher depressive symptoms and anxiety symptoms were associated with greater reports of self-reported sleep disorders (β = 0.16, CI: 0.11, 0.20 and β = 0.19, CI: 0.14, 0.25, respectively) and self-reported changes in food pattern (β = 0.05, CI: 0.03, 0.08 and β = 0.08, CI: 0.05, 0.11).

Table 3. Associations of anxiety and depressive symptoms (regression coefficients (β), and 95% confidence intervals) with sleep and food related problems; and of sharing of stress and increased frequency of calling family members (adjusted odds rations (AOR, 95% confidence intervals) with the quality of social relationships and social empathy among Indian adults.
Sleep related problems (β)* Food related problems (β)* Social relationships (quality) (AOR)# Social empathy (AOR)#
Anxiety 0.19 (0.14, 0.25) 0.08 (0.05, 0.11) - -
Depressive symptoms 0.16 (0.11, 0.20) 0.05 (0.03, 0.08) - -
Sharing of stress with others - - 2.96 (1.52, 5.74) 3.99 (1.95, 8.14)
Increased frequency of calling family members - - 2.56 (1.19, 5.52) 2.27 (1.06, 4.88)

* Adjusted for age, gender, income, education, place of residence, optimism, and resilience.

# Adjusted for age, gender, income, education, and place of residence.

Social empathy and quality of relationships

Our fully adjusted logistic regression models (see Table 3) showed that participants who increased the frequency of calling their family members during the lockdown (compared to 6 months earlier) had higher odds of enhancing the quality of their social relationships (AOR = 2.56, CI: 1.19, 5.52), and reporting increased social empathy (AOR = 2.27, CI: 1.06, 4.88), independent of all sociodemographic covariates. Moreover, our models found that sharing vulnerabilities (stress/depression) with loved ones was associated with higher odds of being socially empathetic (AOR = 3.99, CI:1.95, 8.14), and enhancing social relationships (AOR = 2.96, CI: 1.52, 5.74), after accounting for all sociodemographic covariates.

Qualitative results

Fourteen participants shared with us the slices of their lives during the lockdown. Of the 14 participants, 8 were male, 5 were female, and 1 identified themselves as a non-binary transgender. Six of the 14 identified themselves as LGBT adults. Four were students, 5 worked in private/public sectors (hereafter “service”), and 5 engaged in business/entrepreneurship. The thematic analysis of the narratives of these 14 participants revealed four broad themes. Not all participants’ narratives highlighted all the themes; however, each participant’s narrative was reflected in at least one theme.

Theme 1: Emotional responses to “distance from the real world

All 14 participants expressed their unique concerns about the lockdown situation. Words such as “frustrated,” “stressed,” “angry,” and “suffocated,” were frequently used to describe their emotions. Although the intensity of the negative impact of the lockdown varied across participants, most participants (9/10) shared how the lockdown disrupted their lives causing frustration and agitation. For instance, Ashok (male, heterosexual, service, 27 years old) shared,

Initially it was chill. I thought things would ease out pretty fast. But it now looks like an exceptionally long pause. Each and every day I feel there is an increase of frustration… Hmm… let me put it as…it is like a feeling of anxiety…about the future. We do not know if things would be the same. Especially, (I) am concerned about my work. My work got stuck. Upar se (on top of that), you hear about the increasing number of cases in your own neighborhood. All these accumulate and makes you lose your patience. I have not been able to put my focus on work (since he was working from home). And for me, productivity takes very long to revive once it goes down.

Similar responses of frustration were shared by several students who had mostly enjoyed an outdoorsy life, be it spending time on their college campuses or with friends outside. However, a few shared a different reason for their anxiety: Living in a place with a high number of Covid-19 cases. Rajini’s (female, heterosexual, homemaker, 39 years old) narrative is an example:

We are in a containment (severe movement restriction) zone, and since the last 12 days none of us have stepped out of the house. And you know what the situation is in Bombay (Mumbai) right now! It is pretty stressful […] I have personally kept myself off from news, but there is always social media to give that to you. If you ask me now, I really do not know what the number of cases is, or even what is happening around the neighborhood. I just am desperately waiting for the day when we all will be safe.

While several respondents shared the fear they felt currently due to a high number of Covid-19 cases in their areas, two respondents, Tulika (female, belonged to LGBT group, service, 23 years old) and Salma (transgender (non-binary), belonged to LGBT group, service, 43 years old) shared how this “worse” time had forced them to revisit their past trauma. Tulika, who had gone through a break-up one year earlier and was recovering with the help of therapy elaborated,

[…] and then sometime in my head it is like a relapse… earlier I would be going out, meeting friends and keep myself distracted, but now since you do not have that opportunity, it just keeps coming back […] I have been a workaholic and that’s another thing that in therapy we are trying to work on, but given the ample amount of free time you have; it just keeps coming back to you.

Another instance of past trauma being triggered was in the case of Salma (they/their/them), who had always managed situations of discrimination (against their transgender identity) calmly but recently lost their temper during such an event.

The policewoman stopped us (them and their partner), and asked me “what do you think you are,” […] I have always tried to be calm in such situations, but this time, I just lost all my calmness. It was a mix of so many things, my frustration at work during the crisis, my mother falling ill just a week before the incident, all these acted together.

Their stories revealed that the stress and anxiety developed during the lockdown had revived old memories of trauma. Thus, in response, Tulika chose to go through emergency sessions with her therapist, while Salma failed to stay calm and burst out when faced with gender-based discrimination.

While Tulika and Salma revisited trauma, Anurag (male, belonged to LGBT group, businessman, 37 years old) who moved to his parental home during the lockdown felt distant from his “real” world. He shared,

After I moved out of Kanpur (Uttar Pradesh) around 17 years ago, this is the longest time I am spending with them (his parents). They are old and in their 70s, and need me during this time, so I came here to live with them. I came here around the 23rd March, maybe the 24th, just before the lockdown. Honestly, I am happy to be here for them, but you know, sometimes it feels like you are so far away from your real world. It took me quite some time to confront my own sexuality. And the fact that I stayed away from my parents, who by the way still do not understand the meaning of “gay,” had helped me a lot in coming to terms with myself (sexuality). […] I miss meeting people. The longer I am here, the more I feel that I am losing the chance to meet my life partner. I know it may sound silly and selfish to you, but for me at this age, losing (even) one single chance of meeting someone is a big thing.

Anurag’s feeling of distance from his “real” world highlighted how uncomfortable he was at his old home with his parents. He shared how things around his parents’ house reminded him of how uneasy he felt while growing up as a gay man. Anurag was conflicted by a dilemma: While the lockdown brought him closer to his parents at a time of their need, it also placed on him an additional psychological burden.

The suffocation potentially felt by LGBT adults forced due to the lockdown to stay with others to whom they were not out was evident in this quote shared via the online survey:

Belonging to sexual or gender minorities in India and spending time with family when you are not open, was already like a cage, with family having lot of expectations and along with societal pressures and humiliations. Closing in (being confined to) a non-accepting society and with high-in-expectation family members is destroying my mental health in COVID-19 times. I want to go away from this Society and breathe in fresh air once again where I will not be judged for how I was born.

While a majority of the participants (9/14) shared mostly about their negative states of mind, a few took a moment to share the positive impact of the lockdown on their lives. For instance, Rumi (female, heterosexual, businessperson, 33 years old) described how she saw the lockdown as an opportunity to introspect about her own life.

Not frustrated with it, but I am seeing this as an opportunity that, you know, I have been married for 8 years and there has been so many ups and downs. My life was going without any clarity, but now I am taking this as an opportunity to see what I could do. Life was fast and now it is like I got a break. I do not think of it as a frustration, but it is an opportunity. Since long I was looking for a time where I could sit and do nothing, especially taking a break from my business.

The narrative of Ashish (male, belonged to LGBT group, service, 23 years old, HIV positive) highlighted his equanimity during the crisis. He shared that he did not have any trouble during the lockdown, mostly because he was an introvert who had always loved spending time indoors. However, he mentioned that he and his mother (whom he was living with) had been adhering to the usual precautions to avoid the virus. He said that he had always been protective about his health, as was his mother.

Theme 2: Impact of the lockdown/Covid-19 on lifestyle

Almost all participants (11/14) described how their daily routines had changed because of the lockdown. While many of them were trying to keep themselves healthy by striving to live a “normal” life, a few mentioned about drastic changes in lifestyle, especially in their eating and sleep patterns. For instance, Tulika shared how she lost motivation to stick to a routine during the lockdown.

I usually am a morning person. But ever since this lockdown, my schedule has drastically changed. I have not been waking up early. I am going to sleep around 5 in the morning and continue sleeping till late […] maybe it is because there is no structure anymore. It is more like what do you look forward to. Earlier I used to wake up, looking forward to something. Maybe to go to work and meet people or just to go out. But now I really do not have a point.

Almost 50% of the narratives suggested such changes in sleep cycles. On the other hand, Subhash (male, belonged to LGBT group, service, 24 years old) shared about changes in food habits while also highlighting his mild concerns related to the disruption in his sexual life,

I have not been able to keep myself hydrated properly, earlier I had a schedule for that too, and now I feel it is really messed. (He did not have access to a water purifier at home and relied on purchasing mineral water, which was difficult during the lockdown.) Also, the food, now it is like there is no strict schedule … working out has stopped as well. I guess these are the things that majorly got influenced. Also, sex. Earlier I used to meet people, not very active sexually I would say but 3–4 times a month, but yeah once a while. But now, there is this longer break. […] it just made me hornier that I had been in the normal times. But there is no permanent mental impact honestly. I mean you can watch porn and then masturbate, that is it. But yeah, there is this constant yearning is there in the back of the mind, like, as soon as the lockdown is over, I would start dating again, and so on.

Rumi however understood this “bad time” as an opportunity to work on herself, a point shared by three other participants. She believed that she could explore a completely different side of hers because of this long break from her busy work. She narrated,

I have been experimenting with my life these days. I wake up early and do yoga and then meditation, and then helped my mother with some household chores. Currently, I think I feel physically very light, maybe because of exercise. The free time has helped me a lot to explore these, which otherwise was not really possible given the busy life that I had.

Theme 3: Coping with challenges

Each participant shared unique stories of coping with the crisis. While most adapted themselves to the “smaller world,” a few struggled with it and found alternate ways to negotiate their challenges. A few other participants were positive about the crisis, spending time relaxing or pursuing long-held passions. For instance, Rumi described her introspective exploration and enhanced ability to connect with the society through solitude and meditation.

[…] then I was doing nothing and looking at trees and people around… and then… cooking has been one thing that I am enjoying these days… I have also been listening to Sadhguru which I have never done before…in fact I have hated all these… but now…maybe I have found him very interesting […] I have also engaged in meditation, and book reading… so I am happy (about this).

On the other hand, Tulika kept her mind distracted from the “outside chaos” by immersing herself in social media. For instance, Tulika shared,

The number of hours I am awake, I am using social media. Even if I am going to sleep, I will mindlessly keep scrolling until I fall asleep. Because these are the places currently where you see people. Otherwise it is quite just you. I think it is a good place to connect. It keeps me engaged.

Tulika’s narrative indicates that the online activities have connected her with the outside world, which created an avenue for her to share her vulnerabilities with others through online interactions (messaging and commenting on posts). Notably, more than 50% of the participants reported perceiving the Internet as a way to reduce stress and anxiety during the lockdown. In fact, most of them referred the Internet as the easiest way to keep them distracted from thinking (or overthinking).

A few of the participants who shared their frustration about disruption in their sex lives, reported finding solace in watching pornography and masturbating. Sujoy (male, belonged to LGBT group, student, 22 years) quoted,

I think it is the only thing you could right now. I mean I see people online in Grindr (a dating app for LGBT adults), and surprisingly people are still looking for sex. And very honestly, I completely understand this desperateness. Most of them, and that includes me, were having our fun days. And all of a sudden this happens. Initially, even I had the thought, ghar ke paas to jake hookup kar sakte hain (it should be okay to have a hookup close to my place). But I realized immediately that it is not wise enough to meet people during this time, especially when you know that it (Covid-19) could also not show any symptoms[…] What I do right now is watch porn and jerk off.

While Sujoy showed high self-control and overcame his behavioral impulse of going out to have sex, his initial inclination to go out of his home for sex highlights the repercussions of forced abstinence due to the lockdown. Similarly, a participant (male, heterosexual, student, 18–25 years old) answering the online quantitative survey shared via the open-ended question:

My sexual desires are making me feel more anxious to masturbate, as a single (man), very often during this lockdown period.

Theme 4: New perspectives on self, life, and society

Ten of the 14 participants believed that their lives were no longer the same. They believed that they had changed significantly in terms of how they viewed their selves and society in general. For instance, Tulika said,

Earlier I used to be worried about very little things, and now it has changed drastically, maybe after spending so much time with myself. I am clearer about my life. I feel I got clarity and I see a huge change in myself. I feel spending time with myself has been the best thing.

Similar observation was made by Rumi, who pointed out that,

[…] my mental state is also is very different than before. Earlier I used to get irritated, worried, angry frequently, but now I feel that I am quite easy, surprisingly, even with my husband. We used to fight (giggles) but now I see that I have been very much calm even with him. It is more because of a lot of things, like about spending time with myself.

The universal vulnerability, extended time to reflect on their lives, and sharing their vulnerabilities with others had increased the participants’ level of compassion and social empathy, which further strengthened their relationships with their loved ones. This was reflected in what Tulika shared,

What I have learnt from this entire situation is that you do not take things for granted anymore, even for like interacting with people. I connected with a lot of friends lately, made a couple of new friends as well, and I feel the conversations are no longer superficial but they seem very real, even though we are not in the same physical space but I feel closer to the people more than when we were closer physically […]People have become more vulnerable and have started sharing. Everyone is going through some upheaval right now with this feeling and everyone is trying to connect with others. We are in our mid 20s and everyone is going through this time in pretty much (a) similar way, a huge disruption in our lives I would say. So, we become more vulnerable, now I guess these feelings of vulnerability comes out, when you are sharing. And especially when you know that the other person is going through the same as well, and it actually also allows you to connect to the society at largeto a wide range of people.

Similarly, Rajan (male, heterosexual, student, 30 years old) reflected,

Thinking of my parents, who are in their 60s, and knowing about their vulnerability makes me think more and more my own life. Also, you know that you are in a privileged position to understand lockdown and follow self-quarantine measures. But there are people (who are) like my parents, in their 60s, (but unlike his privileged parents) who cannot afford to sit inside their homes for like 40 days. I have started to think more and more about them, especially knowing that people are dying because of hunger and poverty during this crucial time. While we all are affected by this virus, we all are suffering differently.

While the narratives of Tulika and Rajan highlighted how their vulnerabilities connected them to the society at large, Rumi shared how the situation (and thus the vulnerability) strengthened her relationship with her husband of eight years. She narrated,

I think that I am looking forward to it (reuniting with her husband who was stuck in a different city due to the lockdown) and I have a very strong feeling that it would be very different than before, because I am in a completely different situation now. Also, because I was not clear about my life, I would say we did not have a great relationship. I mean not “not great” but we used to fight a lot. But now I feel little concerned and am little worried about him given the whole situation. And then I realized what is important, that the person is important. I also realized where I was wrong and about my frustration. Now I can say I am looking forward to a much better relationship.

Rumi considered the lockdown situation as an opportunity to reflect upon her own life, tried to connect with people around her, spent longer time in spiritual, motivational, and meditational activities—all of which had helped her find meaning in her life and optimism about her marriage.

Discussion

Using quantitative data from 282 Indian adults and qualitative narratives of 14 adults, our mixed methods study found that even though the Covid-19 crisis indiscriminately affected everyone, its psychological effects were disproportionate among diverse social groups in India. Our quantitative and qualitative findings both suggest that LGBT adults, compared to the heterosexuals, are at a higher risk of developing anxiety, depressive symptoms, and using pornography during the lockdown. Moreover, higher levels of anxiety and depressive symptoms were associated with greater disruption in sleep and food cycles. Lastly, our findings unpacked how sharing vulnerability with loved ones, and frequently talking to family members, strengthened social relationships and social empathy among Indian adults during the Covid-19 lockdown.

The higher risk of anxiety in our survey among the LGBT adults than heterosexuals was corroborated by our qualitative findings. Several reasons might explain this. First, previous research suggests that the LGBT community have a higher prevalence of anxiety and depressive symptoms compared to heterosexuals [46], independent of any crisis. This could be explained using the Meyer’s Minority Stress model [10] During the lockdown, their minority stress (such as sexual orientation-based discrimination and internalized homonegativity) could interact with the lockdown-related stress, thereby increasing their anxiety much more than that experienced by heterosexuals. Second, the lockdown had likely paused their social as well as sexual lives (which connected them with their own community) which likely restricted their access to a safe space, and limited the social support they received from the community [47]. Subhash and Sujoy’s narratives are good examples that show how abstinence from active sex life could make the LGBT adults more anxious during the lockdown. While Sujoy’s example reflects the high demand of self-control during the Covid-19 lockdown [48], research suggests that the application of self-control is effortful and aversive [49]. Therefore, individuals with low self-control could be at a higher risk of succumbing to their behavioral impulses during the pandemic.

This also explains our qualitative finding which suggests a higher likelihood of compulsive consumption of pornography and greater frequency of masturbation among LGBT adults (and people in same-sex relationships) during the lockdown compared to heterosexuals (and people in opposite-sex relationships). This disruption in sexual life could explain our quantitative finding which suggested greater anxiety among heterosexuals who were in (opposite-sex) relationships. The lockdown could have resulted in restrictions in physical interactions and romantic dates with their partners, and reduced the social support received, thus increasing their anxiety. However, the higher consumption of pornography and frequency of masturbation might suggest a healthy sexuality. Notably, these practices may enable individuals to stay away from seeking physical intimacy outside the home during the lockdown which could contribute towards curbing the spread of Covid-19 [12].

Lastly, during the lockdown, it is likely that most adults would move closer to their families for support and to avoid loneliness [50], especially in a family-centric country such as India. However, for many LGBT adults moving in with their parents, to whom they were not out or who disapproved of their sexuality, could be challenging, increasing their risk of experiencing hostility during the lockdown. Previous studies have shown that parental support and familial environment play crucial roles in self-acceptance among LGBT adults [51, 52]. The lack of such familial and/or parental support could hinder self-acceptance among LGBT adults, see for instance, Anurag’s narrative of how he could accept his sexuality only after he moved out of his parental home. Moreover, moving away from his “safe space” to a place which brought memories of discomfort likely increased his anxiety. This could be true for several of the LGBT adults who had gone through interpersonal and familial conflict earlier.

Our quantitative findings also found that individuals at greater, versus lower, risk of the complications of Covid-19 showed higher levels of anxiety. A previous study suggested that patients with existing risk factors to Covid-19 such as cardiovascular disease (CVD) were more also more likely have worse health outcomes if infected [53]. Irrespective of worse health outcomes, belonging to a group with increased risk of Covid-19 complications, given that Covid-19 has no known cure and unpredictably causes mortality, could potentially induce additional stress and anxiety. This corroborates findings from previous studies suggesting a higher prevalence of stress among front-line health workers [17], elderly persons [54], and people living with HIV [55, 56] during the global public health crisis. However, our qualitative findings are in contrast to this finding. Ashish (who was living with HIV) showed no added concern (or anxiety) due to the lockdown. One explanation for this could be that Ashish was among those who adopt optimism and, in combination with constant precaution, show stronger resilience to adverse situations. Findings from a previous study found that people living with HIV could develop resilience despite their physical and psychological challenges [57]. In fact, our study found that optimism and resilience coping were negatively related to anxiety and depressive symptoms. Moreover, Ashish enjoyed spending time indoors, which likely reduced any frustration related to not being able to enjoy regular life, in addition to the lower likelihood of contracting Covid-19.

We did not find quantitative evidence supporting the hypothesis that living in a state with a higher count of Covid-19 cases predicted greater anxiety and depressive in Indian adults. This is in contrast to previous research in Australia which found that respondents living in areas with a high number of influenza cases were at much greater risk of stress than those living in uninfected areas [18]. However, our qualitative results supported our hypothesis. The lack of evidence in our quantitative findings could be because of the operationalization of the concept of area. Our study operationalized area-level risk at the state level. It is possible that anxiety was higher among people living in a neighborhood (and not the state) with higher number of Covid-19 cases. Also, in addition to just the count of Covid-19 in the neighborhood (or state) including the infection fatality rate in the operationalization could have given a reliable estimate of the influence of place.

Our quantitative findings suggest that a past history of depression or loneliness could increase anxiety and depressive symptoms during the lockdown. Our qualitative findings corroborate this. Tulika and Salma’s narratives suggest that stress during lockdown could revive past trauma. Previous study findings also support this interpretation [58]. Our qualitative and quantitative findings also suggested that increased depressive symptoms in this group could also increase their Internet consumption leading to Internet addiction during the lockdown. Depressed individuals could use the Internet as way to cope with their negative psychological state during the lockdown, which risks addiction during a restrictive state such as a lockdown and could affect their quality of life even after the lockdown.

Anxiety and depressive symptoms during lockdown were found to predict disruptions in sleep and food schedules, corroborating findings from a previous study [59]. Qualitative data found that an increase in anxiety and a lack of motivation to lead a routine life increased the risk of an unbalanced sleep cycle, which also impacted food consumption and its timings. Additionally, the inaccessibility to quality food due to the restrictions in physical mobility during the lockdown could affect the balanced diet among Indian adults. Beyond any immediate health effects which could further worsen mental health, such prolonged changes in timing and consumption of food could impact their overall food eating patterns even after the lockdown, resulting in poorer physical and mental health in the longer term as well.

Our quantitative findings suggest that sharing about stress with loved ones and an increase in frequency of interacting with family members likely strengthened social bonds and also increased social empathy among Indian adults. Our qualitative findings elucidate this. Tulika’s narrative highlighted that the universal vulnerability due to the global pandemic and her sharing about it with others in a similar situation improved her connectedness with the people thereby strengthening her social relationships. Similarly, interacting and knowing the vulnerability of Rajan’s parents (more vulnerable) made him more empathetic, and increase his connection with the society at large. This fits with the findings from a previous study that highlighted this argument—sharing and expressing emotions (and vulnerabilities) could make people more empathetic [60]. Such increased social empathy could also be a positive response to the pandemic (and lockdown). For instance, a recent study from the West found that higher empathy towards the more vulnerable could induce motivation to maintain and promote social distancing [61].

Limitations and strengths

There are several limitations of this study that need to be noted while interpreting the results.

We used convenience sampling in our study that limits the generalizability of the findings. Generalizability is also limited due to our use of an English language questionnaire, a small sample size, and choosing the online mode of administering it. However, despite the modest sample size and the sampling design, we were able to show several interesting findings with statistical confidence. We were also constrained in our ability to seek non-English speakers and administer the questionnaires using hard copies due the lockdown situation. Notably, our use of a qualitative strand strengthened the interpretation of the quantitative findings by allowing us to unpack several complex processes. Furthermore, we speculate that the associations under study are stronger among those sub-groups who have a limited access to the Internet that plays a crucial role in ensuring social connectedness during the lockdown.

We used psychological scales to measure anxiety, depressive symptoms, Internet addiction, and compulsive consumption of pornography, instead of clinical interviews which would have yielded medical diagnoses. However, our use of widely cited, reliable scales are informative and could indicate symptoms of the psychological outcomes we explore. Additionally, due to scarcity of available validated scales, we could not use scales that were validated for use in the Indian population. However, we have used scales that have been frequently administered in the Indian context earlier. We also found high internal consistency of the scales in our study suggesting their reliability.

Another limitation of our quantitative study is the use of several shorter and single-item scales (such as the brief resilience coping scale). Longer scales could have yielded robust results. Because our pretest suggested that the length of the questionnaire was perceived as “a lot” we chose to use shorter scales. For instance, we used a single item to measure self-reported change in food consumption patterns and used two items to measure self-reports of sleep disturbances. However, the items used in our study captured the perception of the participants about the change in their food and sleep cycles during the lockdown, which adds an informative nuance. Additionally, our qualitative data around these measures add more details and increase our confidence in interpreting these findings.

Lastly, the cross-sectional nature of the study limits our ability to make causal claims. Longitudinal studies with frequent follow-ups during the lockdown could have shed light on causal processes. However, we were grateful to be able to recruit a diverse sample for our quantitative and qualitative strands, which allowed us to explore the differences in the psychological outcomes during the lockdown across different groups in India.

Despite these limitations, our mixed methods findings highlight the additional psychological burden that the lockdown has brought to an invisible group, the LGBT adults. To our knowledge this is the first study to look at the differential psychological impact of the lockdown across different social groups (including sexual orientation) in India. Moreover, our use of qualitative narratives allowed us to understand the processes linking several social factors to the psychological outcomes in a nuanced manner. Our study also highlights a few positive aspects of the lockdown, underscoring the increase in social empathy and strengthened social bonds among Indian adults.

Implications and conclusions

Our findings echo Balagos’ argument that the marginalization of LGBT adults would be heightened during disasters, because existing inequalities are magnified at such times [62]. While the Indian Supreme Court decriminalized homosexual acts in 2018, Indian policies are not yet inclusive of LGBT adults, who remain socially invisible. Our findings call for the attention of counsellors and health professionals in understanding the specific psychological needs of the LGBT adults during such crises and providing services accordingly.

This study highlights the need for regular interaction and emotional support from friends, family, partners, and caregivers of LGBT adults, individuals with a history of depression or loneliness, a higher risk of developing complications if they contract Covid-19. A recent study [63] highlighted the promise of delivering psychological support through online- and tele-counselling. This study warrants the use of such technologies in an inclusive manner. The study also opens avenues for researchers to further investigate the extent and nature of the psychological impact in such marginalized groups during crises or disasters.

Lastly, our study findings provide evidence for mental health policymakers to begin designing inclusive policies to address the concerns of marginalized groups during and in the aftermath of the Covid-19 global crisis.

All in all, our study highlights the differential psychological effect of the Covid-19 pandemic among LGBT adults, groups with history of depression, and those with high-risk of Covid-19 complications. The study thereby urgently calls for the attention of policymakers to take sensitive and inclusive health decisions for the marginalized and the vulnerable, both during and after the crisis.

Supporting information

S1 File. Covid-19 data.

(XLS)

Acknowledgments

AJS and MAS thank Nilesh Thube (NVT) for his diligent contribution in data management and representation of results. AJS conveys special thanks to Dipankar Dutta for being extremely patient during the work. AJS and MAS thank Harvansh Dandelia, Rakshit Verma, and several other friends and colleagues who helped in the circulation of the online survey in a short time. AJS thanks his Bula da. AJS is grateful to all the participants for filling up the form and sharing their emotions during this crisis.

Data Availability

All relevant data can be found in the supplementary material.

Funding Statement

AJS was supported by fellowships by Department of Science and Technology, India and IIT Gandhinagar.

References

  • 1.“Statement on the second meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV).” https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov) (accessed May 15, 2020).
  • 2.“Coronavirus disease (COVID-19).” https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed Jul. 30, 2020).
  • 3.Song P. and Karako T., “COVID-19: Real-time dissemination of scientific information to fight a public health emergency of international concern,” BioScience Trends, 2020, 10.5582/BST.2020.01056 [DOI] [PubMed] [Google Scholar]
  • 4.“India coronavirus lockdown | Day 1 updates March 25, 2020—The Hindu.” https://www.thehindu.com/news/national/india-coronavirus-lockdown-day-1-updates-march-25-2020/article31159466.ece (accessed May 15, 2020).
  • 5.Braunack-Mayer A., Tooher R., Collins J. E., Street J. M., and Marshall H., “Understanding the school community’s response to school closures during the H1N1 2009 influenza pandemic,” BMC Public Health. 2013, 10.1186/1471-2458-13-344 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Blendon R. J., Benson J. M., DesRoches C. M., Raleigh E., and Taylor‐Clark K., “The Public’s Response to Severe Acute Respiratory Syndrome in Toronto and the United States,” Clinical Infectious Diseases, 2004, 10.1086/382355 [DOI] [PubMed] [Google Scholar]
  • 7.Hawryluck L., Gold W. L., Robinson S., Pogorski S., Galea S., and Styra R., “SARS control and psychological effects of quarantine, Toronto, Canada,” Emerging Infectious Diseases, 2004, 10.3201/eid1007.030703 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Marjanovic Z., Greenglass E. R., and Coffey S., “The relevance of psychosocial variables and working conditions in predicting nurses’ coping strategies during the SARS crisis: An online questionnaire survey,” International Journal of Nursing Studies, 2007, 10.1016/j.ijnurstu.2006.02.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Gautam R. and Sharma M., “2019-nCoV pandemic: A disruptive and stressful atmosphere for Indian academic fraternity,” Brain, Behavior, and Immunity. 2020, 10.1016/j.bbi.2020.04.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Meyer I. H., “Prejudice, Social Stress, and Mental Health in Lesbian, Gay, and Bisexual Populations: Conceptual Issues and Research Evidence,” Psychological Bulletin, vol. 129, no. 5 2003, 10.1037/0033-2909.129.5.674 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ibarra F. P. et al. , “Impact of the COVID-19 pandemic on the sexual behavior of the population. The vision of the east and the west,” International braz j urol: official journal of the Brazilian Society of Urology. 2020, 10.1590/S1677-5538.IBJU.2020.S116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Turban J. L., Keuroghlian A. S., and Mayer K. H., “Sexual Health in the SARS-CoV-2 Era,” Annals of internal medicine, May 2020, 10.7326/M20-2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lehmiller J. J., Garcia J. R., Gesselman A. N., and Mark K. P., “Less Sex, but More Sexual Diversity: Changes in Sexual Behavior during the COVID-19 Coronavirus Pandemic,” Leisure Sciences, pp. 1–10, June 2020, 10.1080/01490400.2020.1774016 [DOI] [Google Scholar]
  • 14.“Infographic: Indians watching more porn during Covid-19 lockdown | India News—Times of India.” https://timesofindia.indiatimes.com/india/indians-watching-more-porn-during-covid-19-lockdown/articleshow/75174935.cms (accessed Jul. 28, 2020).
  • 15.Lopes G. P., Vale F. B. C., Vieira I., da Silva Filho A. L., Abuhid C., and Geber S., “COVID-19 and Sexuality: Reinventing Intimacy,” Archives of Sexual Behavior, vol. 1 Springer, p. 3, July 21, 2020, 10.1007/s10508-020-01796-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Butler M. H., Pereyra S. A., Draper T. W., Leonhardt N. D., and Skinner K. B., “Pornography Use and Loneliness: A Bidirectional Recursive Model and Pilot Investigation,” Journal of Sex and Marital Therapy, vol. 44, no. 2, pp. 127–137, February 2018, 10.1080/0092623X.2017.1321601 [DOI] [PubMed] [Google Scholar]
  • 17.Lai J. et al. , “Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019,” JAMA network open, vol. 3, no. 3, p. e203976, March 2020, 10.1001/jamanetworkopen.2020.3976 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Taylor M. R., Agho K. E., Stevens G. J., and Raphael B., “Factors influencing psychological distress during a disease epidemic: Data from Australia’s first outbreak of equine influenza,” BMC Public Health, vol. 8, p. 347, 2008, 10.1186/1471-2458-8-347 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kang H. J. et al. , “Impact of anxiety and depression on physical health condition and disability in an elderly Korean population,” Psychiatry Investigation, 2017, 10.4306/pi.2017.14.3.240 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Nutt D. J., Wilson S., and Paterson L., “Sleep disorders as core symptoms of depression,” Dialogues in Clinical Neuroscience, 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Peterson R. E., Latendresse S. J., Bartholome L. T., Warren C. S., and Raymond N. C., “Binge eating disorder mediates links between symptoms of depression, anxiety, and caloric intake in overweight and obese women,” Journal of Obesity, 2012, 10.1155/2012/407103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Vanita R., Queering india: Same-sex love and eroticism in indian culture and society. 2013. [Google Scholar]
  • 23.Greenhaus J. H., Collins K. M., and Shaw J. D., “The relation between work-family balance and quality of life,” Journal of Vocational Behavior, 2003, 10.1016/S0001-8791(02)00042-8 [DOI] [Google Scholar]
  • 24.Sinclair V. G., Wallston K. A., and Strachan E., “Resilient Coping Moderates the Effect of Trauma Exposure on Depression,” Research in nursing & health, 2016, 10.1002/nur.21723 [DOI] [PubMed] [Google Scholar]
  • 25.Conversano C., Rotondo A., Lensi E., della Vista O., Arpone F., and Reda M. A., “Optimism and Its Impact on Mental and Physical Well-Being,” Clinical Practice & Epidemiology in Mental Health, 2010, 10.2174/1745017901006010025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wang H. et al. , “The psychological distress and coping styles in the early stages of the 2019 coronavirus disease (COVID-19) epidemic in the general mainland Chinese population: a web-based survey,” medRxiv, 2020, 10.1101/2020.03.27.20045807 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kazmi S. S. H., Hasan K., Talib S., and Saxena S., “COVID-19 and Lockdwon: A Study on the Impact on Mental Health,” SSRN Electronic Journal, 2020, 10.2139/ssrn.3577515 [DOI] [Google Scholar]
  • 28.Roy D., Tripathy S., Kar S. K., Sharma N., Verma S. K., and Kaushal V., “Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic,” Asian Journal of Psychiatry, vol. 51, p. 102083, June 2020, 10.1016/j.ajp.2020.102083 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Cresswell J. W., “A Framework for Design: Qualitative, Quantitative, and mixed Methods Approaches,” Research Design. 1994. [Google Scholar]
  • 30.Creswell J. W. and Plano Clark V. L., Designing and Conducting Mixed Methods Research | SAGE Publications Ltd; 2017. [Google Scholar]
  • 31.Spitzer R. L., Kroenke K., Williams J. B. W., and Löwe B., “A brief measure for assessing generalized anxiety disorder: The GAD-7,” Archives of Internal Medicine, vol. 166, no. 10, pp. 1092–1097, May 2006, 10.1001/archinte.166.10.1092 [DOI] [PubMed] [Google Scholar]
  • 32.Andresen E. M., Malmgren J. A., Carter W. B., and Patrick D. L., “Screening for depression in well older adults: Evaluation of a short form of the CES-D,” American Journal of Preventive Medicine, 1994, 10.1016/s0749-3797(18)30622-6 [DOI] [PubMed] [Google Scholar]
  • 33.Siddiqui O. I., “Methods for Computing Missing Item Response in Psychometric Scale Construction,” American Journal of Biostatistics, 2015, 10.3844/amjbsp.2015.1.6 [DOI] [Google Scholar]
  • 34.Hawthorne G., Hawthorne G., and Elliott P., “Imputing Cross-Sectional Missing Data: Comparison of Common Techniques,” Australian & New Zealand Journal of Psychiatry, vol. 39, no. 7, pp. 583–590, July 2005, 10.1080/j.1440-1614.2005.01630.x [DOI] [PubMed] [Google Scholar]
  • 35.Young K. S., “Internet addiction: The emergence of a new clinical disorder,” Cyberpsychology and Behavior, 1998, 10.1089/cpb.1998.1.237 [DOI] [Google Scholar]
  • 36.Noor S. W., Rosser B. R. S., and Erickson D. J., “A Brief Scale to Measure Problematic Sexually Explicit Media Consumption: Psychometric Properties of the Compulsive Pornography Consumption (CPC) Scale Among Men Who Have Sex With Men,” Sexual Addiction and Compulsivity, 2014, 10.1080/10720162.2014.938849 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Smith B. W., Dalen J., Wiggins K., Tooley E., Christopher P., and Bernard J., “The brief resilience scale: Assessing the ability to bounce back,” International Journal of Behavioral Medicine, 2008, 10.1080/10705500802222972 [DOI] [PubMed] [Google Scholar]
  • 38.Scheier M. F., Carver C. S., and Bridges M. W., “Distinguishing Optimism From Neuroticism (and Trait Anxiety, Self-Mastery, and Self-Esteem): A Reevaluation of the Life Orientation Test,” Journal of Personality and Social Psychology, 1994, 10.1037/0022-3514.67.6.1063 [DOI] [PubMed] [Google Scholar]
  • 39.“MoHFW | Home.” https://www.mohfw.gov.in/ (accessed May 22, 2020).
  • 40.Curran P. J., West S. G., and Finch J. F., “The Robustness of Test Statistics to Nonnormality and Specification Error in Confirmatory Factor Analysis,” Psychological Methods, 1996, 10.1037/1082-989X.1.1.16 [DOI] [Google Scholar]
  • 41.StataCorp, “Stata Statistical Software: Release 14,” Stata Statistical Software, 2015. [Google Scholar]
  • 42.Braun V. and Clarke V., “Using thematic analysis in psychology,” Qualitative Research in Psychology, 2006, 10.1191/1478088706qp063oa [DOI] [Google Scholar]
  • 43.Merriam S. B., Case study research in education: A qualitative approach. 1988. [Google Scholar]
  • 44.Burla L., Knierim B., Barth J., Liewald K., Duetz M., and Abel T., “From Text to Codings,” Nursing Research, vol. 57, no. 2, pp. 113–117, March 2008, 10.1097/01.NNR.0000313482.33917.7d [DOI] [PubMed] [Google Scholar]
  • 45.Birt L., Scott S., Cavers D., Campbell C., and Walter F., “Member Checking: A Tool to Enhance Trustworthiness or Merely a Nod to Validation?,” Qualitative Health Research, vol. 26, no. 13, pp. 1802–1811, November 2016, 10.1177/1049732316654870 [DOI] [PubMed] [Google Scholar]
  • 46.Ross L. E., Salway T., Tarasoff L. A., MacKay J. M., Hawkins B. W., and Fehr C. P., “Prevalence of Depression and Anxiety Among Bisexual People Compared to Gay, Lesbian, and Heterosexual Individuals:A Systematic Review and Meta-Analysis,” Journal of Sex Research, vol. 55, no. 4–5 Routledge, pp. 435–456, June 13, 2018, 10.1080/00224499.2017.1387755 [DOI] [PubMed] [Google Scholar]
  • 47.Nesmith A. A., Burton D. L., and Cosgrove T. J., “Gay, lesbian, and bisexual youth and young adults: Social support in their own words,” Journal of Homosexuality, 1999, 10.1300/J082v37n01_07 [DOI] [PubMed] [Google Scholar]
  • 48.Martarelli C. S. and Wolff W., “Too bored to bother? Boredom as a potential threat to the efficacy of pandemic containment measures,” Humanities and Social Sciences Communications, vol. 7, no. 1, p. 28, December 2020, 10.1057/s41599-020-0512-6 [DOI] [Google Scholar]
  • 49.Wolff W., Sieber V., Bieleke M., and Englert C., “Task duration and task order do not matter: no effect on self-control performance,” Psychological Research, vol. 1, p. 3, July 2019, 10.1007/s00426-019-01230-1 [DOI] [PubMed] [Google Scholar]
  • 50.“Coronavirus drives some millennials home to their parents—Vox.” https://www.vox.com/the-goods/2020/3/26/21193038/millennials-moving-home-coronavirus-pandemic (accessed May 21, 2020).
  • 51.Darby-Mullins P. and Murdock T. B., “The influence of family environment factors on self-acceptance and emotional adjustment among gay, lesbian, and bisexual adolescents,” Journal of GLBT Family Studies, vol. 3, no. 1, pp. 75–91, 2007, 10.1300/J461v03n01_04 [DOI] [Google Scholar]
  • 52.D’amico E., Julien D., Tremblay N., and Chartrand E., “Gay, lesbian, and bisexual youths coming out to their parents: Parental reactions and youths’ outcomes,” Journal of GLBT Family Studies, vol. 11, no. 5, pp. 411–437, October 2015, 10.1080/1550428X.2014.981627 [DOI] [Google Scholar]
  • 53.Bansal M., “Cardiovascular disease and COVID-19,” Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 2020, 10 doi: 1016/j.dsx.2020.03.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Moen P. and Chermack K., “Imported from https://academic.oup.com/psychsocgerontology/article/68/4/540/569189,” The Journals of Gerontology: Series B, vol. 60, no. Special_Issue_2, pp. S99–S108, 2005, 10.1093/GERONB [DOI] [Google Scholar]
  • 55.Marziali M. E., Card K. G., Mclinden Taylor, Wang Lu, Trigg J, and Hogg R. S, “Physical Distancing in COVID-19 May Exacerbate Experiences of Social Isolation among People Living with HIV,” AIDS and Behavior, vol. 1, p. 3, 10.1007/s10461-020-02872-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Algarin A. B. et al. , “NOTES FROM THE FIELD Symptoms, Stress, and HIV-Related Care Among Older People Living with HIV During the COVID-19 Pandemic, Miami, Florida,” AIDS and Behavior, vol. 1, p. 3, 10.1007/s10461-020-02869-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.de Santis J. P., Florom-Smith A., Vermeesch A., Barroso S., and DeLeon D. A., “Motivation, Management, and Mastery,” Journal of the American Psychiatric Nurses Association, vol. 19, no. 1, pp. 36–46, January 2013, 10.1177/1078390312474096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Burcusa S. L. and Iacono W. G., “Risk for recurrence in depression,” Clinical Psychology Review, vol. 27, no. 8 NIH Public Access, pp. 959–985, December 2007, 10.1016/j.cpr.2007.02.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Staner L., “Sleep and anxiety disorders,” Dialogues in Clinical Neuroscience, vol. 5, no. 3, pp. 249–258, 2003, Accessed: May 21, 2020. [Online]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Stanley S., Mettilda Buvaneswari G., and Meenakshi A., “Predictors of empathy in women social workers,” Journal of Social Work, vol. 20, no. 1, pp. 43–63, January 2020, 10.1177/1468017318794280 [DOI] [Google Scholar]
  • 61.Pfattheicher S., Nockur L., Böhm R., Sassenrath C., and Petersen M. B., “The emotional path to action: Empathy promotes physical distancing during the COVID-19 pandemic,” 10.31234/OSF.IO/Y2CG5 [DOI] [PubMed] [Google Scholar]
  • 62.Balgos B., Gaillard J. C., and Sanz K., “The warias of Indonesia in disaster risk reduction: the case of the 2010 Mt Merapi eruption in Indonesia,” Gender and Development, 2012, 10.1080/13552074.2012.687218 [DOI] [Google Scholar]
  • 63.Figueroa C. A and Aguilera A, “The need for a mental health technology revolution in the COVID-19 pandemic,” Frontiers in Psychiatry, vol. 11, p. 523, 2020, 10.3389/fpsyt.2020.00523 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 File. Covid-19 data.

(XLS)

Data Availability Statement

All relevant data can be found in the supplementary material.


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