Has loneliness and poor resilient coping influenced the magnitude of psychological distress among apparently healthy Indian adults during the lockdown? Evidence from a rapid online nation-wide cross-sectional survey

Psychological Resilience Factors and Their Association With Weekly Stressor Reactivity During the COVID-19 Outbreak in Europe: Prospective Longitudinal Study

BACKGROUND

Cross-sectional relationships between psychosocial resilience factors (RFs) and resilience, operationalized as the outcome of low mental health reactivity to stressor exposure (low "stressor reactivity" [SR]), were reported during the first wave of the COVID-19 pandemic in 2020.

OBJECTIVE

Extending these findings, we here examined prospective relationships and weekly dynamics between the same RFs and SR in a longitudinal sample during the aftermath of the first wave in several European countries.

METHODS

Over 5 weeks of app-based assessments, participants reported weekly stressor exposure, mental health problems, RFs, and demographic data in 1 of 6 different languages. As (partly) preregistered, hypotheses were tested cross-sectionally at baseline (N=558), and longitudinally (n=200), using mixed effects models and mediation analyses.

RESULTS

RFs at baseline, including positive appraisal style (PAS), optimism (OPT), general self-efficacy (GSE), perceived good stress recovery (REC), and perceived social support (PSS), were negatively associated with SR scores, not only cross-sectionally (baseline SR scores; all P<.001) but also prospectively (average SR scores across subsequent weeks; positive appraisal (PA), P=.008; OPT, P<.001; GSE, P=.01; REC, P<.001; and PSS, P=.002). In both associations, PAS mediated the effects of PSS on SR (cross-sectionally: 95% CI -0.064 to -0.013; prospectively: 95% CI -0.074 to -0.0008). In the analyses of weekly RF-SR dynamics, the RFs PA of stressors generally and specifically related to the COVID-19 pandemic, and GSE were negatively associated with SR in a contemporaneous fashion (PA, P<.001; PAC,P=.03; and GSE, P<.001), but not in a lagged fashion (PA, P=.36; PAC, P=.52; and GSE, P=.06).

CONCLUSIONS

We identified psychological RFs that prospectively predict resilience and cofluctuate with weekly SR within individuals. These prospective results endorse that the previously reported RF-SR associations do not exclusively reflect mood congruency or other temporal bias effects. We further confirm the important role of PA in resilience.

Associations between transient and chronic loneliness, and depression, in the understanding society study

OBJECTIVES

Loneliness has a long-established link with depression; however, patterns of loneliness, specifically transient (short-term) and chronic loneliness (longer-term), have seldom been researched in terms of their associations with depression and psychiatric distress. We investigated whether chronic loneliness could predict higher levels of psychiatric distress and higher chance of depression diagnosis (via self-report) than transient and no loneliness.

METHODS

We used data from 18,999 participants in Waves 9 and 10 of the Understanding Society survey: a nationally representative study of adults in the United Kingdom. The study used a between-subjects, cross-sectional, design, where participants' scores on loneliness measures across two time points were combined to form patterns of loneliness, and participants were compared on their levels of psychiatric distress and depression diagnoses across the three loneliness groups: chronic loneliness (lonely at both time points), transient loneliness (lonely at one time point) and no loneliness.

RESULTS

Regression analyses revealed that patterns of loneliness predicted both the likelihood of participants reporting a history of depression diagnosis and participants' levels of psychiatric distress. The chronic loneliness group had the highest likelihood of self-reported depression diagnosis and had the highest levels of psychiatric distress, compared to both the transient and no loneliness groups. Transient loneliness, in turn, predicted higher likelihood of reporting a history of depression diagnosis and higher levels of psychiatric distress than the no loneliness group.

CONCLUSIONS

The study replicates and extends prior findings, suggesting that prolonged loneliness even over the course of one year is a risk factor for poorer mental health.

Do Academic Stress, Burnout and Problematic Internet Use Affect Perceived Learning? Evidence from India during the COVID-19 Pandemic

Distress in online classrooms and problematic internet use are two issues that have caused student burnout and affect perceived learning during the COVID-19 pandemic. Given the high pressure placed on students throughout COVID-19, it is critical to understand the influence of problematic internet use (PIU), psychological stress, academic burnout, and resilience on perceived learning (PL). A cross-sectional analytical study was chosen to collect data from 350 learners pursuing undergraduate and postgraduate business/management degrees in Karnataka, India. The data were analyzed using SPSS (Statistical Package for Social Science) and Smart PLS 3. The present study reports a non-significant negative total effect of stress on PL, while there was a significant positive direct effect but a significant indirect negative effect of multiple mediators, namely PIU, burnout, and resilience. In the relationship between stress and PL, burnout has full competitive mediation, and the suppressive effect of burnout and resilience wipes out the beneficial benefit of stress on PL, resulting in reduced PL. As a societal problem, a change in educational policy and prevention strategies for students and organizations (reducing the number of courses, number of exams, and handling parental expectations) would be effective. Emotional intelligence to improve resilience, which assists students in sailing through a current challenging situation and using IT for reducing negative and unexpected emotional outbursts should be encouraged.

Quality of Life, Sexual Health, and Associated Factors Among the Sexually Active Adults in a Metro City of India: An Inquiry During the COVID-19 Pandemic-Related Lockdown

BACKGROUND

Sexual dysfunction (SD) and its effect on our life is an important but less studied topic especially during post-COVID era. This study examines the extent of SD and other mental health predictors and their effect on quality of life.

METHODS

A cross-sectional survey of sexually active adults was conducted in an Indian metro-city. Along with sociodemographic data, sexual dysfunction, depression, anxiety, stress, and quality of life were assessed by Arizona Sexual Experience Scale (ASEX), Depression Anxiety and Stress Scale (DASS), and WHOQOL-BREF, respectively. Structural equations modeling was used to understand their relationship.

RESULTS

Out of the total 1,376 respondents, 80.52% were male, 65.98% were married, and 48.54% were graduates. The mean age of the participants was 34.42 (±9.34) years. Of the participants, 27.18% had sexual dysfunction. Majority of the respondents did not have depression (59.30%), anxiety (52.33%), or stress (44.48%). Mild and moderate levels were the commonest findings among those who had depression, anxiety, or stress. Among the respondents, 27.18% had sexual dysfunction as per the ASEX instrument. Increase in age and female gender were associated with sexual dysfunction overall and also all its components. Presence of depression adversely affected ease of achieving orgasm and satisfaction from orgasm and was associated with sexual dysfunction overall. The respondents had a mean score of 73.57 (±13.50) as per the WHO-QOL. Depression and stress emerged as statistically significant factors for poor quality of life, while sexual dysfunction was not associated statistically.

CONCLUSION

More than one-fourth of the study population reported sexual dysfunction during the first wave of the pandemic in India. The study findings highlight the role of poor mental health issues in this regard. In fact, issues like depression and stress were associated with poor quality of life as well. The current findings unequivocally warrant specific interventions to improve mental health of the respondents.

Risk perception, social distancing, and distress during COVID-19 pandemic: Exploring the role of online counseling and perceived social support

The study explored the relationship between social distancing and distress along with risk factors of social distancing. Further, online counseling/mental health services and perceived social support were tested as possible moderators between social distancing and distress. Valid and reliable measures were used to collect the data from 300 Indian respondents. Process use of social networking platforms was found to significantly explain social distancing. Online counseling/mental health services and perceived social support moderated the relationship between social distancing and distress. Only 16% of the respondents used online mental health services during the study period. Lack of awareness and acceptance of these services were major barriers.

Emotional distress in the early stages of the COVID-19 related lockdowns depending on the severity of the pandemic and emergency measures: a comparative online-survey in Germany, Austria and Italy

BACKGROUND

The first wave of the COVID-19-pandemic hit different countries with varying degrees of severity, so that differences in the type and level of emergency measures were also necessary. It can be assumed that the psychological burden was higher in countries subjected to a more severe course of the pandemic (Italy) than in countries subjected to a less severe one (Germany, Austria).

OBJECTIVE

To investigate and contrast the wellbeing of the population in Italy, Austria, and Germany in the early phase of the first lockdown.

METHOD

Online survey on N = 4289 individuals. The questionnaire comprised a self-administered section, exploring the dimensions: perceived severity of COVID-19, perceived risk of disease, concerns related to COVID-19, emergency measure acceptance and emotional distress due to emergency measures; and standardized scales to record emotional state and coping: Stress-Coping-Style Questionnaire, Positive and Negative Affect Schedule, State-Trait-Anxiety-Inventory.

RESULTS

The three countries displayed significant differences in all investigated dimensions (p < .001). Italian participants assessed the COVID-19 virus as much more dangerous (p < .001), but despite the prevalence of the virus, the subjective risk of disease was perceived to be lower in Italy (p < .001). This could be a positive effect of the restrictive curfews set by the government in Italy. The emergency measures were generally perceived to be very effective in all three countries, but due to the duration and the severity of the measures, the fear and stress-reaction were the strongest among Italian participants (p < .001).

CONCLUSION

The stricter measures in Italy prevented an application of many positive stress processing strategies, which, in turn, fostered the perpetuation of stresses and fear.