No abstract

Background Understanding risk factors of symptomatic coronavirus disease 2019 (COVID-19) vis-à-vis asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, severe disease and death is important. Methods An unmatched case–control study was conducted through telephonic interviews among individuals who tested positive for SARS-CoV-2 in Jodhpur, India from 23 March to 20 July 2020. Contact history, comorbidities and tobacco and alcohol use were elicited using standard tools. Results Among 911 SARS-CoV-2-infected individuals, 47.5% were symptomatic, 14.1% had severe COVID-19 and 41 (4.5%) died. Older age, working outside the home, cardiac and respiratory comorbidity and alcohol use were found to increase the risk of symptomatic disease as compared with asymptomatic infection. Current tobacco smoking (odds ratio [OR] 0.46 [95% confidence interval {CI} 0.26 to 0.78]) but not smokeless tobacco use (OR 0.81 [95% CI 0.55 to 1.19]) appeared to reduce the risk of symptomatic disease. Age ≥60 y and renal comorbidity were significantly associated with severe COVID-19. Age ≥60 y and respiratory and cardiac comorbidity were found to predispose to mortality. Conclusions The apparent reduced risk of symptomatic COVID-19 among tobacco smokers could be due to residual confounding owing to unknown factors, while acknowledging the limitation of recall bias. Cross-protection afforded by frequent upper respiratory tract infection among tobacco smokers could explain why a similar association was not found for smokeless tobacco use, thereby being more plausible than the ‘nicotinic hypothesis’. Those with comorbidities and age ≥60 y should be prioritized for hospital admission.

Background: Social anxiety disorder (SAD) is a common mental health disorder affecting adolescents often associated with comorbidities like depression, suicide ideation and substance abuse. The objective of this study was to estimate the prevalence of social anxiety in adolescents and to explore its correlation with internet usage. Methods: An exploratory cross-sectional study was conducted among 307 undergraduate students to screen for social anxiety and social phobia using a validated instrument, social interaction anxiety scale (SIAS). Young's internet addiction scale was used for measuring internet addiction. Respondents were categorised according to the scores obtained and later compared with their internet addiction behaviours. Results: Internet addiction was seen in 93.8% of respondents. The prevalence of SAD was estimated to be 15.3%. Internet addiction was positively correlated with social anxiety score (Pearson correlation = 0.994, P < 0.001). Conclusion: More than 90% of participants had internet addiction, the majority had mild-moderate internet addiction. Social anxiety was present in more than one-third of the participants. SAD was found to be associated with internet addiction.

Introduction: Childhood wasting although well studied elsewhere, it has not been well understood about in slum area of Nepal. This study aimed to assess effect of socio-demographic factors and child feeding practice in the determination of wasting among the children under five years of age in slum area of Nepal.Methods: A community based cross-sectional study was performed among 150 children under five years of age from the slum area of Nepal between 1st January and  28th February 2013 using simple random sampling techniques. Multivariate analyses were performed to determine factors associated with wasting controlling the potential confounders.Results: In a total of 150 under five years children, the prevalence of wasting was 56 (37.33%). The current study demonstrated that children of mothers from dalit (Adjusted Odds Ratio (OR) 11.5; 95% CI: 03.1 – 41.3), aadibasi/janajati (AOR 4.6; 95% CI: 1.2 – 17.0), illiterate mothers (AOR 3.6; 95% CI: 1.1 – 13.6), laborer mothers (AOR 2.1; 95% CI: 1.1-9.4), child age group 25-36 months (AOR 2.8; 95% CI: 1.5-5.3), multiple child birth order (AOR 10.0; 95% CI: 2.5-25.0), children who were not fed colostrums (AOR 15.0; 95% CI: 1.25-10.0)) were more likely to develop wasting compared to their counterparts.Conclusions: As incremental childhood wasting is associated with maternal socio-demographic factors and child feeding practice, health promotion strategies should focus maternal socio-demographic factors, age of children and early initiation of breast feeding for the improved child nutrition in slum area of Nepal.Keywords: socio-demographic factors; urban slum; under five children; wasting. [PubMed]

Background Multimorbidity estimates are expected to increase in India primarily due to the population aging. However, there is a lack of research estimating the burden of multimorbidity in the Indian context using a validated tool. We estimated the prevalence and determinants of multimorbidity amongst the adult population of the rural Uddanam region, Andhra Pradesh. Methods This community-based cross-sectional study was conducted as a part of an ongoing research program. Multistage cluster sampling technique was used to select 2419 adult participants from 40 clusters. Multimorbidity was assessed using Multimorbidity Assessment Questionnaire for Primary Care (MAQ-PC) tool, collecting information on 13 chronic diseases. Patient Health Questionnaire (PHQ-12) was used to screen for depression. Multiple logistic regression was conducted to identify the strongest determinants of multimorbidity. Results Of the 2419 participants, 2289 completed the MAQ-PC tool. Mean age (standard deviation) of participants was 48.1 (13.1) years. The overall prevalence of multimorbidity was 58.5% (95% CI 56.5-60.6); with 30.7%, 15.6%, and 12.2% reporting two, three, and four chronic conditions, respectively. Acid peptic disease-musculoskeletal disease (44%) and acid peptic disease-musculoskeletal disease-hypertension (14.9%) were the most common dyad and triad. Among metabolic diseases, diabetes-hypertension (28.3%) and diabetes-hypertension-chronic kidney disease (7.6%) were the most common dyad and triad, respectively. Advancing age, female gender, and being obese were the strongest determinates of the presence of multimorbidity. Depression was highly prevalent among the study population, and participants with higher PHQ-12 score had 3.7 (2.5-5.4) greater odds of having multimorbidity. Conclusions Our findings suggest that six of 10 adults in rural India are affected with multimorbidity. We report a higher prevalence of multimorbidity as compared with other studies conducted in India. We also identified vulnerable groups which would guide policy makers in developing holistic care packages for individuals with multimorbidity.

Context:Correct use of emergency contraceptive pills (ECPs) may prevent up to 95% of unwanted pregnancies which may significantly decrease unsafe abortions and maternal mortality.Aims:Assessment of knowledge and use of ECPs among women and to explore factors associated with them.Materials and Methods:This was a facility-based cross-sectional study. Data were collected using a prestructured, pretested questionnaire from 381 reproductive age women (15–49 years) selected by systematic random sampling. Statistical Package for the Social Sciences version 16 and Epi info (version 7.0.) were used for all statistical analyses. Descriptive analysis was performed, and results were expressed in terms of frequencies and percentages. The Chi-square and Fisher's exact test were used as tests of significance in univariate analysis. Determinants of use of ECPs were identified using logistic regression.Results:Of 381 women interviewed, awareness level of ECPs (ever heard about ECPs) was found to be 34% (n = 128). Ever use of emergency contraception was reported by 38 (9.7%). Age (odds ratio [OR] = 3.02, 95% confidence interval [CI] [1.88–4.87]), education (OR = 0.086, 95% CI [0.047–0.158]), husband's education (OR = 0.11, 95% CI [0.067–0.187]), socioeconomic status (OR = 6.14, 95% CI [3.28–11.51]), and family status (OR = 2.6, 95% CI [1.59–4.24]) were found to be significantly associated with the use of emergency contraceptives.Conclusions:The study identified that most respondents lack adequate knowledge about ECPs, and ever use of ECPs was very low. Factors that were associated with the use of ECPs were age, literacy, socioeconomic status, and knowledge about the method. Creating a sustainable awareness on ECPs and their use may serve them with power to control their parity.

Background On March 9, 2020, the first COVID-19 case was reported in Jodhpur, Rajasthan, in the northwestern part of India. Understanding the epidemiology of COVID-19 at a local level is becoming increasingly important to guide measures to control the pandemic. Objective The aim of this study was to estimate the serial interval and basic reproduction number (R0) to understand the transmission dynamics of the COVID-19 outbreak at a district level. We used standard mathematical modeling approaches to assess the utility of these factors in determining the effectiveness of COVID-19 responses and projecting the size of the epidemic. Methods Contact tracing of individuals infected with SARS-CoV-2 was performed to obtain the serial intervals. The median and 95th percentile values of the SARS-CoV-2 serial interval were obtained from the best fits with the weibull, log-normal, log-logistic, gamma, and generalized gamma distributions. Aggregate and instantaneous R0 values were derived with different methods using the EarlyR and EpiEstim packages in R software. Results The median and 95th percentile values of the serial interval were 5.23 days (95% CI 4.72-5.79) and 13.20 days (95% CI 10.90-18.18), respectively. R0 during the first 30 days of the outbreak was 1.62 (95% CI 1.07-2.17), which subsequently decreased to 1.15 (95% CI 1.09-1.21). The peak instantaneous R0 values obtained using a Poisson process developed by Jombert et al were 6.53 (95% CI 2.12-13.38) and 3.43 (95% CI 1.71-5.74) for sliding time windows of 7 and 14 days, respectively. The peak R0 values obtained using the method by Wallinga and Teunis were 2.96 (95% CI 2.52-3.36) and 2.92 (95% CI 2.65-3.22) for sliding time windows of 7 and 14 days, respectively. R0 values of 1.21 (95% CI 1.09-1.34) and 1.12 (95% CI 1.03-1.21) for the 7- and 14-day sliding time windows, respectively, were obtained on July 6, 2020, using method by Jombert et al. Using the method by Wallinga and Teunis, values of 0.32 (95% CI 0.27-0.36) and 0.61 (95% CI 0.58-0.63) were obtained for the 7- and 14-day sliding time windows, respectively. The projection of cases over the next month was 2131 (95% CI 1799-2462). Reductions of transmission by 25% and 50% corresponding to reasonable and aggressive control measures could lead to 58.7% and 84.0% reductions in epidemic size, respectively. Conclusions The projected transmission reductions indicate that strengthening control measures could lead to proportionate reductions of the size of the COVID-19 epidemic. Time-dependent instantaneous R0 estimation based on the process by Jombart et al was found to be better suited for guiding COVID-19 response at the district level than overall R0 or instantaneous R0 estimation by the Wallinga and Teunis method. A data-driven approach at the local level is proposed to be useful in guiding public health strategy and surge capacity planning.

No abstract