People with dyssomnia showed increased vulnerability to CoVID-19 pandemic: a questionnaire-based study exploring the patterns and predictors of sleep quality using the latent class analysis technique in Indian population.

INTRODUCTION: CoVID-19 pandemic and the subsequent lockdown have impacted the sleep quality and the overall wellbeing of mankind. The present epidemiological study measured various aspects of sleep disturbance such as sleep quality, daytime impairments, negative emotionality, sleep hygiene, and well-being associated with CoVID-19 pandemic among the Indian population. METHODS: This cross-sectional voluntary online survey (using Google form) was communicated across the country from 4th June to 3rd July 2020 through mail and social media applications. The responses received (N = 450) were categorized and validated using the latent class analysis and logistic regression tests respectively, and the classes and subclasses derived were profiled. These techniques are used for the first time in a CoVID-19 sleep study. RESULTS: Out of the three classes derived from the LCA, people with severe dyssomnia belonging to class 1 (33.3%) showed high daytime impairments, negative emotionality and high vulnerability towards CoVID-19 pandemic measures. In addition, the two subclasses derived from the severe dyssomnia group; one with negative emotionality predominance and the other with excessive daytime sleepiness, were similarly affected by CoVID-19 measures. People with moderate dyssomnia (class 2, 28.5%) showed frequent arousals with daytime impairments and the majority (38.2%) which fell in to class 3, the 'no dyssomnia' category, were not impacted by CoVID-19 pandemic. CONCLUSION: People with existing sleep problems or those who were vulnerable to the same were the ones affected by CoVID-19 pandemic. Those with inadequate emotional coping styles have showed heightened vulnerability. Proper medical and cognitive interventions are highly recommended for this population. No or moderate dyssomnia categories (class 3 and 2 respectively) were less impacted by CoVID-19.

A Correlation Study between Tri-Guna and Emotional Style: A Theoretical Approach toward Developing a Working Model to Integrate Tri-Guna with Affective Neuroscience and Well-Being.

BACKGROUND: Science of well-being is getting focused across all walks of life from health care to organizational behavior. Indian psychological principles of Tri-Guna offer a universal theoretical framework to understand the behavioral aspects of emotions and well-being, whereas affective neurosciences have explored neural circuits underlying few universal emotional styles. Both Tri-Guna and emotional styles are dynamic and vulnerable for modifications with training. Hence, establishing a relation between Tri-Guna and emotional style offers a novel insight to explore neural basis of Tri-Guna and its application in health and behavioral sciences. AIMS: To establish the correlation between Tri-Guna and emotional styles in healthy adult subjects. MATERIALS AND METHODS: Healthy adults (n = 121, 18-21 years) of both genders were individually administered with questionnaires to assess Tri-Guna (Vedic personality inventory) and emotional style (emotional style questionnaire). The relationship between Tri Guna (Sattva, Rajas and Tamas) and Six dimensions of emotional styles (attention, self awareness, outlook, resilience, social intuition and sensitivity to context) were assessed using Pearson's correlation coefficient. RESULTS: All the emotional styles showed a positive correlation with Sattva and negative with Rajas and Tamas, except resilience. Resilience showed a negative correlation with Sattva and positive with Rajas and Tamas. Further, between Rajas and Tamas, emotional styles showed a stronger correlation with Tamas. CONCLUSIONS: Sattva guna showed an association with emotional styles that favors to develop a positive emotional pattern. Having fairly understood neural circuitry of emotional styles, this first preliminary correlation data will provide a theoretical framework to explore neural circuitry involved in understanding emotional aspects of Tri-Guna.

Analysis of Proteinuria Estimation Methods in Hypertensive Disorders of Pregnancy.

PURPOSE OF THE STUDY: The gold-standard 24-h urine collection method for protein estimation is inconvenient and is associated with a delay in laboratory analysis. This study was undertaken to compare sulphosalicylic acid test, urine dipstick test, urine protein-to-creatinine ratio with 24-h urine protein estimation in pre-eclampsia cases. METHODS: This is a comparative study and consists of a single group of 764 subjects. This study was conducted in the Department of Obstetrics and Gynaecology in collaboration with the Department of Biochemistry, JIPMER, Pondicherry, India, from February 2011 to January 2014. The subjects included were 764 pre-eclampsia women. A first voided morning sample was obtained for sulphosalicylic acid test, dipstick test, urine protein and creatinine estimation and urine culture, and subsequent urine samples were collected for the 24-h urine protein estimation. MAIN FINDINGS: For significant proteinuria, sulphosalicylic acid test with 1 + proteinuria has sensitivity, specificity, PPV and NPV of 59, 48, 39, 67, whereas with 2 + has sensitivity, specificity,PPV and NPV of 44, 88, 75 and 67%, respectively, dipstick test with 1 + proteinuria has sensitivity, specificity, PPV and NPV of 71, 52, 54 and 70%, whereas with 2 + has sensitivity, specificity,PPV and NPV of 49, 87, 75 and 69%, respectively. The spot urine protein-to-creatinine ratio and 24-h urine protein were significantly correlated (r = 0.98; p < 0.0001). The cut-off value for the protein-to-creatinine ratio as an indicator of protein excretion ≥ 300 mg/day was 0.285. The sensitivity, specificity PPV and NPV were 100, 99, 100 and 99%, respectively. CONCLUSION: The spot urine protein-to-creatinine ratio is a better method for estimation of proteinuria in pre-eclampsia.