Improving adolescents' dietary behavior through teacher-delivered cancer prevention education: a school-based cluster randomized intervention trial in urban Rajasthan.

BACKGROUND: Dietary practices are one of the most common modifiable risk factors for cancers. Foods rich in dietary fibers are considered protective, meanwhile fast & junk foods are risk for common cancers. Adolescence period is marked by habit formation and is thus suited for delivering behavioral intervention. Schools offer an optimal setting for planning and executing these interventions to a large number of adolescents. OBJECTIVE: To assess the effectiveness of a teacher-delivered cancer-prevention education in changing dietary behaviors of school going adolescents. METHODS: A cluster randomized trial was conducted in government secondary and senior secondary schools with schools as clusters. A minimum required sample of 1032 students was estimated from 16 schools with 1:1 allocation in intervention and non-intervention groups. Dietary behaviors were recorded as dichotomous variable. The determinants were recorded as per theory of planned behavior framework using Likert-scale. Two teachers from each intervention school were trained to deliver cancer prevention education with focus on role of dietary behavior. Pre-post training assessment of teachers' knowledge towards common cancers was done using a self-administered questionnaire. Gender adjusted difference-in-difference analysis was done to assess intervention effect on both healthy and unhealthy behaviors. RESULTS: In selected schools all students from classes 8 to 10 were approached and a total of 1224 students were enrolled, of whom 1096 completed the study. The study recorded significant improvement in scores of students from intervention group compared to non-intervention group for their attitude, subjective norms, perceived behavioral control and intention towards consuming healthy and avoiding unhealthy foods. The intervention was effective in significantly improving the proportion of students limiting fried/fast/packed food & sugar sweetened beverages (OR:1.51, 95%CI:1.08,2.12,p:0.017), and consuming fruits & vegetables daily (OR:1.55, 95%CI:1.08,2.22, p:0.017) while adjusting effect of gender. CONCLUSION: Classroom-based cancer prevention education delivered through teachers during regular working hours is effective in improving dietary behaviors and its determinants among adolescent students. Thus, we recommend integrating a section focusing on the role of diet in cancer prevention and other lifestyle diseases in the existing school curriculum. TRIAL REGISTRATION: The trial was registered under Clinical Trial Registry-India with registration number CTRI/2018/12/016586, dated-10/12/2018.

Exploring frailty and its domains - Systematic mapping of the literature.

Background: 'Frailty' has no consensual definition till date, although the term occupies a pivotal role in geriatric medicine. A bibliometric analysis of the literature serves to capture the keyword cooccurrences and linkages, co-citations, author collaborations, research trends and to present the extant research in a nutshell. Objective: To explore the usage of frailty, its domains in medical research and the evolution of the term to other disciplines through systematic mapping by bibliometric analysis. Methods: Literature search was done in the Scopus database using a pre-formed search strategy. 2629 documents were retrieved. Co-occurrence citation analysis using keywords and link strength was obtained using the VOSviewer ver.1.6.16. A three-field plot was constructed using 'biblioshiny' package of the R-studio to identify the various domains of frailty. Descriptive statistics were applied to identify the trends in frailty research, number of contributions from countries, fields of research involving frailty. Results: Total of 3739 publications were observed, with the USA having most number of contributions (740, 20%) as single country, while India has only 19 contributions (0.5%) in the past 20 years. As a region, Europe and Central Asia contributed to the maximum (1714, 46.4%), most of them being from the high-income countries. Research on frailty has steadily increased over the past two decades, with most of the researches being conducted in the fields of Medicine, Biochemistry and Genetics. Cooccurrence citations and three-field plots indicate the evolving usage of frailty in other domains, such as cognition, mental health, indicators of survival, risk assessment, mortality, and quality of life. Conclusion: Upon exploring frailty, it also makes one wonder if frailty could be the cause for what is known as death due to 'natural causes' or 'old age'. The implementation of extension codes in the ICD-11 related to 'Ageing' (XT9T) and 'Old Age' (MG2A), paves way for researchers to further explore 'frailty' as a cause of mortality.

Recalibrating the Non-Communicable Diseases risk prediction tools for the rural population of Western India.

BACKGROUND: The aim of the present study was to recalibrate the effectiveness of Indian Diabetes Risk Score (IDRS) and Community-Based Assessment Checklist (CBAC) by opportunistic screening of Diabetes Mellitus (DM) and Hypertension (HT) among the people attending health centres, and estimating the risk of fatal and non-fatal Cardio-Vascular Diseases (CVDs) among them using WHO/ISH charts. METHODS: All the people aged ≥ 30 years attending the health centers were screened for DM and HT. Weight, height, waist circumference, and hip circumferences were measured, and BMI and Waist-Hip Ratio (WHR) were calculated. Risk categorization of all participants was done using IDRS, CBAC, and WHO/ISH risk prediction charts. Individuals diagnosed with DM or HT were started on treatment. The data was recorded using Epicollect5 and was analyzed using SPSS v.23 and MedCalc v.19.8. ROC curves were plotted for DM and HT with the IDRS, CBAC score, and anthropometric parameters. Sensitivity (SN), specificity (SP), Positive Predictive Value (PPV), Negative Predictive Value (NPV), Accuracy and Youden's index were calculated for different cut-offs of IDRS and CBAC scores. RESULTS: A total of 942 participants were included for the screening, out of them, 9.2% (95% CI: 7.45-11.31) were diagnosed with DM for the first time. Hypertension was detected among 25.7% (95% CI: 22.9-28.5) of the participants. A total of 447 (47.3%) participants were found with IDRS score ≥ 60, and 276 (29.3%) with CBAC score > 4. As much as 26.1% were at moderate to higher risk (≥ 10%) of developing CVDs. Area Under the Curve (AUC) for IDRS in predicting DM was 0.64 (0.58-0.70), with 67.1% SN and 55.2% SP (Youden's Index 0.22). While the AUC for CBAC was 0.59 (0.53-0.65). For hypertension both the AUCs were 0.66 (0.62-0.71) and 0.63 (0.59-0.67), respectively. CONCLUSIONS: IDRS was found to have the maximum AUC and sensitivity thereby demonstrating its usefulness as compared to other tools for screening of both diabetes and hypertension. It thus has the potential to expose the hidden NCD iceberg. Hence, we propose IDRS as a useful tool in screening of Diabetes and Hypertension in rural India.

Performance of equations for estimation of 24-hour urinary sodium from morning fasting urine samples in a multisite study in India.

Background Dietary salt intake is an important modifiable risk factor for cardiovascular diseases. Estimation of 24-hour salt intake using morning urine samples needs to be validated in the Indian context. We examined the performance of INTERSALT, Tanaka and Kawasaki equations for the estimation of 24-hour urinary sodium from morning fasting urine (MFU) samples. Methods We enrolled 486 adults aged 18-69 years from four regions of India with equal rural/urban and sex representation to provide 24-hour urine samples. The next day, a MFU sample was obtained. Based on the volume and sodium content of the 24-hour urine sample, 24-hour sodium excretion (reference method) was calculated. Sodium levels in the MFU samples were measured along with other parameters required, and the above equations were used to estimate 24-hour urinary sodium levels. Intraclass correlation coefficient (ICC) was used to assess the degree of agreement between the estimates from the reference method and the three equations. Bland-Altman (BA) plots were used to identify systematic bias and limits of agreement. A difference of 1 g of salt (0.39 g of sodium) between the mean salt intake by 24-hour urine and as estimated by equations was considered acceptable. Results A total of 346 participants provided both the samples. The mean (SD) daily salt intake estimated by the 24-hour urine sample method was 9.9 (5.8) g. ICC was low for all the three equations: highest for Kawasaki (0.16; 95% CI 0.05-0.26) and least for Tanaka (0.12; 0.02-0.22). Only Tanaka equation provided estimates within 1 g of measured 24-hour salt intake (-0.36 g). BA plots showed that as the mean values increased, all the three equations provided lower estimates of salt intake. Conclusion Tanaka equation provided acceptable values of 24-hour salt intake at the population level. However, poor performance of all the equations highlights the need to understand the reasons and develop better methods for the measurement of sodium intake at the population level.

Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India.

COVID-19 vaccine hesitancy among chronic disease patients can severely impact individual health with the potential to impede mass vaccination essential for containing the pandemic. The present study was done to assess the COVID-19 vaccine antecedents and its predictors among chronic disease patients. This cross-sectional study was conducted among chronic disease patients availing care from a primary health facility in urban Jodhpur, Rajasthan. Factor and reliability analysis was done for the vaccine hesitancy scale to validate the 5 C scale. Predictors assessed for vaccine hesitancy were modelled with help of machine learning (ML). Out of 520 patients, the majority of participants were female (54.81%). Exploratory factor analysis revealed four psychological antecedents' "calculation"; "confidence"; "constraint" and "collective responsibility" determining 72.9% of the cumulative variance of vaccine hesitancy scale. The trained ML algorithm yielded an R2 of 0.33. Higher scores for COVID-19 health literacy and preventive behaviour, along with family support, monthly income, past COVID-19 screening, adherence to medications and age were associated with lower vaccine hesitancy. Behaviour changes communication strategies targeting COVID-19 health literacy and preventive behaviour especially among population sub-groups with poor family support, low income, higher age groups and low adherence to medicines may prove instrumental in this regard.

COVID-19 vaccine hesitancy among medical students in India.

The coronavirus disease 2019 (COVID-19) vaccine was launched in India on 16 January 2021, prioritising health care workers which included medical students. We aimed to assess vaccine hesitancy and factors related to it among medical students in India. An online questionnaire was filled by 1068 medical students across 22 states and union territories of India from 2 February to 7 March 2021. Vaccine hesitancy was found among 10.6%. Concern regarding vaccine safety and efficacy, lack of awareness regarding their eligibility for vaccination and lack of trust in government agencies predicted COVID-19 vaccine hesitancy among medical students. On the other hand, the presence of risk perception regarding themselves being affected with COVID-19 reduced vaccine hesitancy as well as hesitancy in participating in COVID-19 vaccine trials. Vaccine-hesitant students were more likely to derive information from social media and less likely from teachers at their medical colleges. Choosing between the two available vaccines (Covishield and Covaxin) was considered important by medical students both for themselves and for their future patients. Covishield was preferred to Covaxin by students. Majority of those willing to take the COVID-19 vaccine felt that it was important for them to resume their clinical posting, face-to-face classes and get their personal life back on track. Around three-fourths medical students viewed that COVID-19 vaccine should be made mandatory for both health care workers and international travellers. Prior adult vaccination did not have an effect on COVID-19 vaccine hesitancy. Targeted awareness campaigns, regulatory oversight of vaccine trials and public release of safety and efficacy data and trust building activities could further reduce COVID-19 vaccine hesitancy among medical students.

Preparedness of primary and secondary health facilities in India to address major noncommunicable diseases: results of a National Noncommunicable Disease Monitoring Survey (NNMS).

BACKGROUND: The monitoring framework for evaluating health system response to noncommunicable diseases (NCDs) include indicators to assess availability of affordable basic technologies and essential medicines to treat them in both public and private primary care facilities. The Government of India launched the National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular diseases and Stroke (NPCDCS) in 2010 to strengthen health systems. We assessed availability of trained human resources, essential medicines and technologies for diabetes, cardiovascular and chronic respiratory diseases as one of the components of the National Noncommunicable Disease Monitoring Survey (NNMS - 2017-18). METHODS: NNMS was a cross-sectional survey. Health facility survey component covered three public [Primary health centre (PHC), Community health centre (CHC) and District hospital (DH)] and one private primary in each of the 600 primary sampling units (PSUs) selected by stratified multistage random sampling to be nationally representative. Survey teams interviewed medical officers, laboratory technicians, and pharmacists using an adapted World Health Organization (WHO) - Service Availability and Readiness Assessment (SARA) tool on handhelds with Open Data Kit (ODK) technology. List of essential medicines and technology was according to WHO - Package of Essential Medicines and Technologies for NCDs (PEN) and NPCDCS guidelines for primary and secondary facilities, respectively. Availability was defined as reported to be generally available within facility premises. RESULTS: Total of 537 public and 512 private primary facilities, 386 CHCs and 334 DHs across India were covered. NPCDCS was being implemented in 72.8% of CHCs and 86.8% of DHs. All essential technologies and medicines available to manage three NCDs in primary care varied between 1.1% (95% CI; 0.3-3.3) in rural public to 9.0% (95% CI; 6.2-13.0) in urban private facilities. In NPCDCS implementing districts, 0.4% of CHCs and 14.5% of the DHs were fully equipped. DHs were well staffed, CHCs had deficits in physiotherapist and specialist positions, whereas PHCs reported shortage of nurse-midwives and health assistants. Training under NPCDCS was uniformly poor across all facilities. CONCLUSION: Both private and public primary care facilities and public secondary facilities are currently not adequately prepared to comprehensively address the burden of NCDs in India.

Measuring medical graduate behavioral intention for administering on-site care to road traffic accident victims: Development and validation of a questionnaire.

BACKGROUND: Prehospital trauma care skills are often taught and assessed in undergraduate medical curricula but the intention to voluntarily offer these skills in out of hospital or primary care settings is poorly understood. OBJECTIVES: The objective is to develop and validate a questionnaire measuring behavioral intention among medical graduates for administering on-site care to road accident victims. METHODS: A cross-sectional study was conducted from September 2018 to February 2019, among medical graduates of an academic institution in Jodhpur, Rajasthan. Items for "Measure of Intention to help road accident victim (MIHRAV) instrument" were framed as per the constructs of theory of planned behavior. A total of 150 candidates undergoing internship were approached for informed consent and a link for online questionnaire was shared. STATISTICAL ANALYSIS: Exploratory factor analysis (EFA) and tests for convergent, discriminant, and predictive validity was done using IBM SPSS version 23.0 for psychometric validation of scale. RESULTS: Original version of MIHRAV included 29 items which were reduced to 18 items. EFA identified five factors which explained 72% of cumulative variance with high Cronbach's α (0.920). Discriminant validity showed adequate correlations ranging from 0.283 to 0.541. Predictive validity demonstrated that model was significantly able to predict "behavioural intention to help" (F (4128) = 24.139, P = 0.0001) and explained 43% of variance. CONCLUSION: The findings reveal that developed instrument "MIHRAV" is a reliable and valid scale for predicting behavioral intention among medical graduates for administering onsite care to road accident victims.

An Ambispective Community-Based Survival Study of Common Cancers in Rural Jodhpur, Rajasthan, Western India.

Background Cancer is the leading cause of death globally. Information on cancer patterns and survival is essential for the effective planning and implementation of cancer control interventions. Objective This study aimed to identify various factors associated with the survival estimates of common cancers. Methods A community-based ambispective study was conducted in a rural population. Data were collected from individuals diagnosed with cancer or relatives of individuals who died of cancer. The total population covered was 82,983. All cancer cases diagnosed since 2005 and followed until the year 2020 were included. Survival analysis and five-year survival rates were estimated. A Cox proportional hazard model was used. Results A total of 146 cancer patients were included in the study. Five-year survival estimates for breast cancer, head and neck cancer, and GI cancer were 72%, 28%, and 0%, respectively. The median survival time was lowest for GI cancers (1 year), and for head and neck and breast cancers, it was 3 and 6 years, respectively. Multivariate Cox regression was performed, adjusting for age, type of hospital, alcohol use, tobacco use, opium use, gender, treatment sought, GI cancer, frequency of changing hospitals, and frequency of follow-up. After adjustment, changing hospitals ≥3 times, being lost to follow-up, receiving no treatment, tobacco abuse, and the presence of GI cancers were significantly associated with survival estimates. Conclusions The five-year survival estimate for GI cancers was the lowest compared to other cancers. Study participants who were lost to follow-up or who took no treatment were significantly associated with lower survival estimates.

Predictive ability of complete blood count, mean platelet ratio, mean platelet volume, and neutrophil/lymphocyte ratio for severe pneumonia among RT-PCR or radiologically proven COVID-19 patients.

Background: Immuno-inflammatory markers related to white blood cells, and platelets are shown to be associated with COVID-19 infection, and considered to be independent markers for clinical outcomes and mortality. The present study aimed to study the predictive value of these hematologic parameters in progression of COVID-19 to severe pneumonia. Methods: This was an analytical cross-sectional study conducted among RT-PCR or radiologically proven COVID-19 patients in a tertiary care hospital in Rajasthan. Semi-structured questionnaire was used to collect the epidemiological information of the patients with COVID-19. Complete blood count and other laboratory parameters were also studied among the patients. Results: Mean age of participants in the study was 52 years, with about 70% being males. Cough and breathlessness were the most common symptoms among the patients. It was found that the parameters related to white blood cells were significantly different between patients with COVID-19 infection and severe pneumonia (except absolute monocyte count). NLR was significantly higher among those with severe pneumonia. In the univariate analysis, age (OR - 1.02), NLR (OR - 1.16), and albumin (OR - 0.45) were found to be significant predictors of progression to severe pneumonia. In the final model, adjusted for confounders, only NLR and albumin levels significantly predicted progression to severe pneumonia among COVID-19 patients. Conclusion: The study consolidates the predictive ability of NLR for severe pneumonia. It is an important finding, as health facilities with limited access to laboratory investigations can rely on simple markers in routine practice to predict the progression of COVID-19 infection to severe pneumonia.

Prevalence of Internet Addiction and Impact of Internet Socialization on Professional, Academic, Social Lives and Sleep Pattern Among Students and Professionals from Various Fields Across India.

Background: Internet addiction was found to be associated with a variety of psychosocial problems, including academic failure, low self-esteem, poor diet, mental disorders like depression and anxiety, sleep deprivation, and social withdrawal. Objective: To determine the prevalence and risk factors of internet addiction and evaluate the impact of internet socialization on professional, academic, social lives and sleep pattern among students and professionals from various fields across India. Methodology: This cross-sectional, descriptive study was conducted from January 2022 to July 2023 among 772 participants who were aged ≥18 years. The study tool consisted of a questionnaire with four parts comprising questions related to demographic characteristics, pattern of use and impact of internet over academic, professional, social life, sleep pattern, and Kimberley Young's Internet Addiction Test (IAT) questionnaire. Results: The prevalence of Internet addiction was 53.6% among the participants. Participants aged above 30 years demonstrated a decreased risk of internet addiction compared to those aged below 30 years (AOR = 0.35). Participants who reported becoming restless without internet access (AOR = 4.88) and going to bed late because of the use of internet or social media (AOR = 3.01) had a significantly higher risk of internet addiction. Conclusion: Internet addiction is very common among professionals, and students and there is a high risk of internet addiction in persons who get restless when they cannot log in, spend too much time online, stay up late using the internet, and share personal information soon after meeting others on social media sites.

Untapped potential of commercial drivers in providing post-crash care to road traffic accident victims: A cross-sectional study from fast urbanizing city of Jodhpur, India.

Objectives: Most road traffic accident (RTA) deaths occur before victim reaches a definitive trauma care facility. The aim of the study was to determine the role of commercial drivers toward providing post-crash care to RTA victims in Jodhpur, Rajasthan. Materials and Methods: This cross-sectional study assessed the role of commercial auto-rickshaw and cab drivers for providing post-crash care in urban Jodhpur during 2019-2020. Eligible participants volunteering for the study were included from taxi and auto stands in urban Jodhpur. A pre-tested questionnaire was administered by a trained interviewer. Data analysis was done using SPSS v23.0. Summary measures in terms of frequencies, means, and range are reported. Chi-square test, Fisher's Exact test, and Multivariate Logistic Regression analysis were done for statistical associations. Results: Two hundred male participants completed the study with a mean age of 37.74 (8.96) years having an average work experience as commercial drivers of more than 10 years. Over 70% of participants witnessed RTA in the past year and 52% provided care to victims. The knowledge of post-crash care was most affected by their education level (adjusted odds ratio [aOR]: 1.778, 95% confidence interval [CI]: 0.958, 3.301), whereas the intended post-crash care practices were significantly better among participants with previous training (aOR: 15.376, 95% CI: 2.149, 110.017). Conclusion: The current study establishes the role of commercial drivers as first responders at accident sites in the fast urbanizing city of Jodhpur, Rajasthan. Systematic capacity building initiatives of commercial drivers to salvage RTA victims have potential to strengthen pre-hospital trauma care continuum in non-metro districts of India experiencing high burden of accidents.

Application of Indian Diabetic Risk Score (IDRS) and Community Based Assessment Checklist (CBAC) as Metabolic Syndrome prediction tools.

BACKGROUND: Indian Diabetic Risk Score (IDRS) and Community Based Assessment Checklist (CBAC) are easy, inexpensive, and non-invasive tools that can be used to screen people for Metabolic Syndrome (Met S). The study aimed to explore the prediction abilities of IDRS and CBAC tools for Met S. METHODS: All the people of age ≥30 years attending the selected rural health centers were screened for Met S. We used the International Diabetes Federation (IDF) criteria to diagnose the Met S. ROC curves were plotted by taking Met S as dependent variables, and IDRS and CBAC scores as independent/prediction variables. Sensitivity (SN), specificity (SP), Positive and Negative Predictive Value (PPV and NPV), Likelihood Ratio for positive and negative tests (LR+ and LR-), Accuracy, and Youden's index were calculated for different IDRS and CBAC scores cut-offs. Data were analyzed using SPSS v.23 and MedCalc v.20.111. RESULTS: A total of 942 participants underwent the screening process. Out of them, 59 (6.4%, 95% CI: 4.90-8.12) were found to have Met S. Area Under the Curve (AUC) for IDRS in predicting Met S was 0.73 (95%CI: 0.67-0.79), with 76.3% (64.0%-85.3%) sensitivity and 54.6% (51.2%-57.8%) specificity at the cut-off of ≥60. For the CBAC score, AUC was 0.73 (95%CI: 0.66-0.79), with 84.7% (73.5%-91.7%) sensitivity and 48.8% (45.5%-52.1%) specificity at the cut-off of ≥4 (Youden's Index, 2.1). The AUCs of both parameters (IDRS and CBAC scores) were statistically significant. There was no significant difference (p = 0.833) in the AUCs of IDRS and CBAC [Difference between AUC = 0.00571]. CONCLUSION: The current study provides scientific evidence that both IDRS and CBAC have almost 73% prediction ability for Met S. Though CBAC holds relatively greater sensitivity (84.7%) than IDRS (76.3%), the difference in prediction abilities is not statistically significant. The prediction abilities of IDRS and CBAC found in this study are inadequate to qualify as Met S screening tools.

Exploring internet addiction and its associated factors among college students in Western Rajasthan, India: A mixed-methods study.

Background: With near universal use of internet by college students, there is propensity for internet addiction (IA) among them. This study aimed to estimate the prevalence and predict the factors for internet addiction among college students in Jodhpur, Rajasthan, India, and qualitatively explore the factors associated with internet addiction. Materials and Methods: Explanatory sequential (QUAN-QUAL) mixed-methods design was used. A cross-sectional questionnaire-based survey was conducted among three streams of undergraduate colleges (health, engineering, and others). Survey instruments included Young's internet addiction test (IAT), Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety, and Stress Scale-21 (DASS-21) Items. Focus group discussions (FGDs) and in-depth interviews (IDIs) among the students with mild-to-moderate levels of addiction were conducted to understand the reasons for excessive internet use. Results: The prevalence of internet addiction (IA) among the college students was 51% and the rates for mild, moderate, and severe addiction were 31.8%, 18.5%, and 0.7%, respectively. Predictors of IA were male gender, age in years, age of first internet use in years, urban origin, accessing internet at college, mobile internet use, using internet to make online friendship, sleep disturbance, depression, anxiety, and stress. Qualitative study identified five major themes related to situations initiating internet use for nonacademic purpose, content of internet use, triggers for internet overuse/addiction (IA), perceived impact of IA, and measures to overcome IA. Conclusions: Internet addiction was found to be highly prevalent in college students across various streams. Qualitative results provide deeper insights into IA among college students. It is imperative to screen for IA among the students and devise suitable preventive interventions, which can be easily implemented at community level.

Study of anaemia in pregnancy and low birth weight in fluoride endemic area of Western Rajasthan: a cohort study.

Background: Fluoride is a noxious element known to destroy gastrointestinal mucosa, leading to erythrocytes' destruction and causing anaemia. The birth weight of newborn babies is a significant indicator of a child's vulnerability to the risk of childhood diseases and chances of existence. Methods: This prospective cohort study was planned to find linkages between fluorosis and the low-birth weight of newborn babies with anaemic mothers. Antenatal mothers until the 20th week of gestation were followed up till delivery in the Antenatal Clinic of a District Hospital in one of the known fluoride-endemic districts (Nagaur) and the other not-so-endemic district (Jodhpur) of Western Rajasthan. Results: Around 19% of the newborn in Jodhpur and around 22% in Nagaur had low birth weight. Mean fluoride values in water samples were measured to be 0.57 (range from 0.0 to 2.7 PPM) in Jodhpur and 0.7 (range from 0.0 to 3.4 PPM) in Nagaur. Conclusions: Thus, in fluoride endemic areas, other factors should be included besides iron and folic acid supplementation for improving anaemia in pregnant women. This calls for assessing the effectiveness of de-fluoridation activities along with the area's most common indigenous food practices.

Vaccination coverage and breakthrough infections of COVID-19 during the second wave among staff of selected medical institutions in India.

India experienced the second wave of SARS-CoV-2 infection from April 3 to June 10, 2021. During the second wave, Delta variant B.1617.2 emerged as the predominant strain, spiking cases from 12.5 million to 29.3 million (cumulative) by the end of the surge in India. Vaccines against COVID-19 are a potent tool to control and end the pandemic in addition to other control measures. India rolled out its vaccination programme on January 16, 2021, initially with two vaccines that were given emergency authorization-Covaxin (BBV152) and Covishield (ChAdOx1 nCoV- 19). Vaccination was initially started for the elderly (60+) and front-line workers and then gradually opened to different age groups. The second wave hit when vaccination was picking up pace in India. There were instances of vaccinated people (fully and partially) getting infected, and reinfections were also reported. We undertook a survey of staff (front line health care workers and supporting) of 15 medical colleges and research institutes across India to assess the vaccination coverage, incidence of breakthrough infections, and reinfections among them from June 2 to July 10, 2021. A total of 1876 staff participated, and 1484 forms were selected for analysis after removing duplicates and erroneous entries (n = 392). We found that among the respondents at the time of response, 17.6% were unvaccinated, 19.8% were partially vaccinated (received the first dose), and 62.5% were fully vaccinated (received both doses). Incidence of breakthrough infections was 8.7% among the 801 individuals (70/801) tested at least 14 days after the 2nd dose of vaccine. Eight participants reported reinfection in the overall infected group and reinfection incidence rate was 5.1%. Out of (N = 349) infected individuals 243 (69.6%) were unvaccinated and 106 (30.3%) were vaccinated. Our findings reveal the protective effect of vaccination and its role as an essential tool in the struggle against this pandemic.

Enabling Readiness of a School to Reopen During a Pandemic - A Field Experience.

Modeling studies indicate that the closure of schools during the coronavirus disease (COVID-19) pandemic may not be well grounded for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, as evidences indicate that children are less affected by this virus, and the clinical attack rates in the 0-19 age group are low. Experts also opine that school closures might have negative effects on the scholastic abilities of children and also an adverse impact on the economy and health care system, considering the responsibilities conferred upon the parents. Also, in a developing country like India, it is difficult for the rural population to afford distance online learning, which brings into importance the reopening of schools in a safe environment to avoid adversities such as increased drop-outs in the upcoming academic year, loss of in-person benefits such as mid-day meal scheme. This study highlights a field experience in relation to readiness assessment of a rural school in the Jodhpur district of Rajasthan, India, for a safe reopening to accept students in a safe and conducive atmosphere, which shall help prevent transmission of the virus in the schools among the children. In this regard, an indigenous readiness checklist has been developed to achieve the purpose, which assesses the readiness in 3 domains: (1) procedural readiness; (2) supplies, sanitation, and infrastructure-related; and (3) education and training.

Adherence to healthy behavioral practices promotes COVID 19 preventive behavior among chronic disease patients: A cross-sectional study from urban Rajasthan, India.

Background: The coronavirus disease-19 (COVID-19) pandemic has led to unprecedented morbidity and mortality across the world. Chronic disease patients of urban poor neighbourhoods are one of the most vulnerable population subgroups as the number of cases and deaths increase exponentially in India. The study aims to explore the factors associated with desirable health behaviours among chronic disease patients availing care from a primary health facility and examine their association with the COVID-19 preventive behaviour. Material and Methods: A cross-sectional study was conducted among chronic disease patients attending a health centre in an urban area of Jodhpur, Rajasthan. A interviewer administered semi-structured questionnaire was pilot tested and validated prior to initiation of data collection. A total of 520 patients were enrolled for the study. Results: Poor adherence to health behaviour was observed among a majority of the respondents (infrequent physical activity: 72.0%, one or less fruit serving per day: 96.5%, one or less vegetable serving per day: 88.8%). A factor analysis revealed three domains of COVID-19 preventive behaviour: sanitisation, preventive hygiene and social distancing. Multiple regression revealed respondents opting for COVID-19 screening and those with lower salt intake followed the overall and individual COVID-19 preventive behaviour. Conclusion: The health behaviour assessment and inter-personal counselling by the health care providers at the primary health facilities may contribute to the increasing adherence for the COVID-19 preventive behaviour among chronic disease patients.

Understanding the phases of vaccine hesitancy during the COVID-19 pandemic.

Vaccine hesitancy is an important feature of every vaccination and COVID-19 vaccination is not an exception. During the COVID-19 pandemic, vaccine hesitancy has exhibited different phases and has shown both temporal and spatial variation in these phases. This has likely arisen due to varied socio-behavioural characteristics of humans and their response towards COVID 19 pandemic and its vaccination strategies. This commentary highlights that there are multiple phases of vaccine hesitancy: Vaccine Eagerness, Vaccine Ignorance, Vaccine Resistance, Vaccine Confidence, Vaccine Complacency and Vaccine Apathy. Though the phases seem to be sequential, they may co-exist at the same time in different regions and at different times in the same region. This may be attributed to several factors influencing the phases of vaccine hesitancy. The complexities of the societal reactions need to be understood in full to be addressed better. There is a dire need of different strategies of communication to deal with the various nuances of all of the phases. To address of vaccine hesitancy, an understanding of the societal reactions leading to various phases of vaccine hesitancy is of utmost importance.