Knowledge, attitude, and practice towards face mask use among residents of Greater Chennai Corporation, India, March 2021

BackgroundWearing a mask is one of the simplest ways to reduce the spread of COVID-19. Studies reported poor mask compliance in Greater Chennai Corporation, India. Hence, we described the knowledge, attitude, and practice regarding mask use among adults (≥18 years) in Greater Chennai Corporation, Tamil Nadu, India.MethodsWe conducted a cross-sectional survey among residents of Greater Chennai Corporation in March 2021. We estimated the sample size to be 203 per strata (slum and non-slum). We used a simple random sampling technique to select 20 locations using a digital map in the slum and non-slum areas. After reaching the location chosen, we selected 10 consecutive households and one adult (≥18 years of age) from each household. We used a validated, semi-structured questionnaire for collecting data regarding knowledge, attitudes, and practices for mask use. We estimated proportions and 95% CI for key variables and compared the variables between slums and non-slums.ResultsOf 430 participants included in the study, 51.4% were males. The mean (S.D.) age of the participants is 41.1 (14.6) years. The majority (86.7%) of the participants felt that wearing a mask helped in reducing the spread of coronavirus and the knowledge differed (p-value < 0.05) between the slum (81.4%) and non-slum (92.3%). Nearly half (46.5%) of the participants did not like being forced to wear the mask. About 63.9% of the participants reported the practice of mask use while going out which was similar across slums and non-slums.ConclusionAlthough the knowledge regarding mask use was good among the public, the attitude was unfavorable. We suggest continuous reinforcement by spreading awareness and educating the community on the appropriate use of the mask

Discovering Networks of Perturbed Biological Processes in Hepatocyte Cultures

The liver plays a vital role in glucose homeostasis, the synthesis of bile acids and the detoxification of foreign substances. Liver culture systems are widely used to test adverse effects of drugs and environmental toxicants. The two most prevalent liver culture systems are hepatocyte monolayers (HMs) and collagen sandwiches (CS). Despite their wide use, comprehensive transcriptional programs and interaction networks in these culture systems have not been systematically investigated. We integrated an existing temporal transcriptional dataset for HM and CS cultures of rat hepatocytes with a functional interaction network of rat genes. We aimed to exploit the functional interactions to identify statistically significant linkages between perturbed biological processes. To this end, we developed a novel approach to compute Contextual Biological Process Linkage Networks (CBPLNs). CBPLNs revealed numerous meaningful connections between different biological processes and gene sets, which we were successful in interpreting within the context of liver metabolism. Multiple phenomena captured by CBPLNs at the process level such as regulation, downstream effects, and feedback loops have well described counterparts at the gene and protein level. CBPLNs reveal high-level linkages between pathways and processes, making the identification of important biological trends more tractable than through interactions between individual genes and molecules alone. Our approach may provide a new route to explore, analyze, and understand cellular responses to internal and external cues within the context of the intricate networks of molecular interactions that control cellular behavior

Prevalence of metabolic syndrome among adult population in India: A systematic review and meta-analysis.

ObjectiveThis review was done to determine the prevalence of metabolic syndrome (MS) among adult general population in India. We also wanted to find the gender, setting, and region-wide distribution of MS in India.MethodsWe conducted systematic searches in various databases including Medline, ScienceDirect, Cochrane library and Google Scholar from inception until August 2019. We included studies conducted in India reporting the prevalence of MS among adults aged 18 years or more. We used the Newcastle Ottawa scale to assess the quality of included studies. We carried out a meta-analysis with random-effects model and reported pooled prevalence with 95% confidence intervals (CIs). We used the Funnel plot to assess publication biases.ResultsIn total, we analysed 113 data from 111 studies with 133,926 participants. Majority of the included studies (76 out of 111) had low risk of bias. We found significant heterogeneity among the included studies (pConclusionAlmost one in three adults in India suffer from MS. Females, people living in urban areas and in northeast region had higher prevalence of MS. Development and implementation of policies and protocols for the screening of MS would enable us in early diagnosis and treatment with special focus towards the vulnerable and high-risk groups

PiNGO: a Cytoscape plugin to find candidate genes in biological networks

Summary: PiNGO is a tool to screen biological networks for candidate genes, i.e. genes predicted to be involved in a biological process of interest. The user can narrow the search to genes with particular known functions or exclude genes belonging to particular functional classes. PiNGO provides support for a wide range of organisms and Gene Ontology classification schemes, and it can easily be customized for other organisms and functional classifications. PiNGO is implemented as a plugin for Cytoscape, a popular network visualization platform

Prevalence of medication adherence and its associated factors among patients with noncommunicable disease in rural Puducherry, South India – A facility-based cross-sectional study

Background: Trends in morbidity and mortality due to noncommunicable diseases (NCDs) are rising because of poor control status. Medication nonadherence is one of the most common and modifiable causes of inadequate control status. Objectives: To determine the prevalence of drug adherence among patients with NCD in rural Puducherry. Methods: A facility-based cross-sectional study was done among 260 patients with NCD receiving treatment from rural primary health center in Puducherry during February and March 2018. Information regarding sociodemographic profile and household was collected using pretested semi-structured questionnaire. Morisky Medication Adherence Scale was done to assess the adherence. We calculated adjusted prevalence ratios (aPRs) to identify the factors associated with medication adherence. Results: Among the 260 participants, 42.7% belonged to elderly age group; 66.2% were females; 44% did not have any formal education; 70% were unemployed. The majority were suffering from hypertension (71.2%) followed by diabetes (56.2%). This study found that almost one-third (32.7%) of the study participants were not properly adherent to medications. Elderly [aPR 2.51 95% confidence interval (CI): 1.70–3.70] and female participants (aPR 1.64 95% CI: 1.04–2.58) were found to have more chance being nonadherent to medications after adjusting for possible confounding variables. Conclusion: This study reported that almost one-third of the study participants were nonadherent to medications. Elderly age group and female gender were found to be the determinants of nonadherence. Corrective measures need to be started at patient level first by motivating and educating them regarding the importance of drug intake

The Global Mental Health Assessment Tool-validation in Hindi: A validity and feasibility study

Background: A computer-assisted interview, the Global Mental Health Assessment Tool-validation (GMHAT/PC) has been developed to assist general practitioners and other health professionals to make a quick, convenient, yet reasonably comprehensive standardized mental health assessment. GMHAT/PC has been translated into various languages including Hindi. This is the first study conducted in India, using the Hindi version GMHAT/PC of the series of studies assessing its validity in different cultures.Aim: The study aims to assess the feasibility of using a computer assisted diagnostic interview by health professionals and to examine the level of agreement between the Hindi version GMHAT/PC diagnosis and psychiatrists’ ICD-10 based clinical diagnosis.Design: Cross-sectional validation study.Setting: Psychiatric clinic of a General Hospital and an out patient (Neurology) clinic in the Teaching General Hospital in Jaipur, India.Materials and Methods: All consecutive patients attending the psychiatric out patient clinic were interviewed using GMHAT/PC and psychiatrists made a diagnosis applying ICD-10 criteria for a period of six weeks. A small sample of subjects was interviewed in a similar way in a Neurology clinic for four weeks.Results: The mean duration of interview was under 17 minutes. Most patients were pleased that they were asked about every aspect of their mental health. The agreement between psychologists’ GMHAT/PC interview diagnoses and psychiatrists’ clinical diagnoses was excellent (Kappa 0.96, sensitivity 1.00, and specificity 0.94).Conclusion: GMHAT/PC Hindi version detected mental disorders accurately and it was feasible to use GMHAT/PC in Indian settings

Indian research on disaster and mental health

The primary source for this annotation on disaster mental health research is the Indian Journal of Psychiatry. Key words like disasters, earthquake, cyclone, tsunami and flood were searched from its electronic database and relevant articles are discussed. The cross-referenced articles and relevant researches conducted on disasters in India which are published elsewhere were the secondary sources of information. There have been many epidemiological studies and only a few interventional studies on disasters in India. Prevalence figures of psychiatric disorders varied considerably across studies, secondary to nature and severity of disaster, degree of loss, support available and probably also due to the study methodology. Suggestions for intervention included pre-disaster planning, training of disaster workers, utilization of community-level volunteers as counselors, and strengthening existing individual, social and spiritual coping strategies. There is a need for more longitudinal follow-up studies and interventional studies

Effectiveness of the ChAdOx1 nCoV-19 Coronavirus Vaccine (CovishieldTM) in Preventing SARS-CoV2 Infection, Chennai, Tamil Nadu, India, 2021

We estimated the effectiveness of two doses of the ChAdOx1 nCoV-19 (Covishield) vaccine against any COVID-19 infection among individuals ≥45 years in Chennai, Tamil Nadu, India. A community-based cohort study was conducted from May to September 2021 in a selected geographic area in Chennai. The estimated sample size was 10,232. We enrolled 69,435 individuals, of which 21,793 were above 45 years. Two-dose coverage of Covishield in the 18+ and 45+ age group was 18% and 31%, respectively. Genomic analysis of 74 out of the 90 aliquots collected from the 303 COVID-19-positive individuals in the 45+ age group showed delta variants and their sub-lineages. The vaccine’s effectiveness against COVID-19 disease in the ≥45 age group was 61.3% (95% CI: 43.6–73.4) at least 2 weeks after receiving the second dose of Covishield. We demonstrated the effectiveness of two doses of the ChAdOx1 vaccine against the delta variant in the general population of Chennai. We recommend similar future studies considering emerging variants and newer vaccines. Two-dose vaccine coverage could be ensured to protect against COVID-19 infection