Overall survival of prostate cancer from Sangrur and Mansa cancer registries of Punjab state, India.

Introduction: There is a scarcity of population-based prostate cancer survival data in India. We assessed the population-based, overall survival of patients with prostate cancer from the Sangrur and Mansa cancer registries of the Punjab state, India. Methods: In the year 2013-2016, a total of 171 prostate cancer cases were registered in these two registries. Based on these registries, survival analysis was performed using the date of diagnosis as the starting date and the last follow-up date being December 31, 2021 or the date of death. Survival was calculated using STATA software. Relative survival was calculated using the Pohar Perme method. Results: Follow up was available for all the registered cases. Of the 171 cases, 41 (24%) were alive and 130 (76.0%) were dead. Of the prescribed treatments, 106 (62.7%) cases completed the treatment and 63 (37.3%) cases did not complete the treatment. Overall, 5-year age-standardized prostate cancer relative survival was 30.3%. Patients who completed the treatment had a 7.8 times higher 5-year relative survival (45.5%) compared to those who did not (5.8%). The difference between the two groups is statistically significant (hazard ratio 0.16, 95% confidence interval [0.10-0.27]). Conclusion: To improve survival, we need to raise awareness in the community and among primary physicians so that prostate cancer cases can reach the hospital early and should be treated effectively. The cancer center should develop the systems in their hospital so that there will be no hurdles to the patients in treatment completion. We found a low overall relative survival among patients of prostate cancer in these two registries. Patients who received treatment had a significantly higher survival.

Prevalence, time trends and treatment practices of asthma in India: the Global Asthma Network study.

Objective: The objective of this subanalysis of data from centres across urban areas in India of the Global Asthma Network (GAN) was to study 1) the prevalence of symptoms of asthma in children and adults, 2) the change in prevalence of asthma and its trigger factors since the International Study of Asthma and Allergies in Childhood (ISAAC), and 3) current asthma treatment practice. Methods: In this cross-sectional, multicentre, school-based and self-administered questionnaire, responses from children aged 6-7 years and 13-14 years, and their respective parents, were analysed. Results: The GAN Phase I study included 20 084 children in the 6-7-year age group, 25 887 children in the 13-14-year age group and 81 296 parents. The prevalence of wheeze in the previous 12 months was 3.16%, 3.63% and 3.30% in the three groups, respectively. In comparison to the ISAAC studies, there was a significant reduction in the prevalence of current wheeze (p<0.001). Bivariate analysis revealed a significant reduction in the prevalence of trigger factors. Almost 82% of current wheezers and 70% of subjects with symptoms of severe asthma were not clinically diagnosed as having asthma. The daily use of inhaled corticosteroids (ICS) was less than 2.5% in subjects with current wheeze and those with symptoms of severe asthma but less than 1% used daily ICS when asthma remained undiagnosed. Conclusion: The prevalence of current wheeze and its causal factors showed a significant reduction compared to previous ISAAC studies. Among subjects with current wheeze and symptoms of severe asthma, the problem of under-diagnosis and under-treatment was widespread.

Socio-biomedical predictors of child nutrition in India: an ecological analysis from a nationally representative Demographic and Health Survey, 2015-2016.

BACKGROUND: Despite significant economic growth and development, undernutrition among children remains a major public health challenge for low- and middle-income countries in the twenty-first century. In Millennium Development Goals, India committed halving the prevalence of underweight children by 2015. This study aimed to explain the geographical variation in child malnutrition level and understand the socio-biomedical predictors of child nutrition in India. METHODS: We used the data from India's National Family Health Survey 2015-2016. The survey provided estimates of stunting, wasting, and underweight at the national, state, and district level to measure nutritional status of under-five children. Level of stunting, wasting and underweight at the district level are considered as outcome variables. We have used variance inflation factor to check the multicollinearity between potential predictors of nutrition. In this study, we performed spatial analysis using ArcGIS and multiple linear regression analysis using Stata version 15. RESULTS: Five states (Uttar Pradesh, Bihar, Madhya Pradesh, Jharkhand and Meghalaya) had very high prevalence of stunting (40% and above). High prevalence of wasting was documented in Jharkhand, Madhya Pradesh, Chhattisgarh, and Karnataka (23 to 29%). Jharkhand, Madhya Pradesh, Maharashtra, and Chhattisgarh had the highest proportion of underweight children in the country. We found that electricity and clean fuel use in the household, use of iodized salt, and level of exclusive breastfeeding had significantly negative influence on the stunting level in the districts. The use of iodized salt has similar effect on the wasting status of under-five children in the districts (b: - 0.27, p < 0.10). Further, underweight level had a negative association with clean fuel use for cooking (b: - 0.17, p < 0.01), use of iodized salt (b: - 0.36, p < 0.10), breastfeeding within one hour (b: - 0.18, p < 0.10), semisolid/solid food within 6-8 months (b: - 0.11, p < 0.05) and Gross Domestic Product of the districts (b: - 0.53, p < 0.10). CONCLUSION: In the study, a variety of factors including electricity and clean fuel use in the household, use of iodized salt, level of exclusive breastfeeding, breastfeeding within one hour, semisolid/solid food within 6-8 months and Gross Domestic Product of the districts have a significant association with nutritional status of children.

Global Asthma Network Phase I, India: Results for allergic rhinitis and eczema in 127,309 children and adults.

Background: The Global Asthma Network phase I study in India aimed to study the prevalence, time trends, and associated risk factors of allergic rhinitis and eczema among 6-7-year-old, and 13-14-year-old school children and their parents. Objectives: The objective of the study was to understand the current prevalence and associated risk factors of Allergic Rhinitis and Eczema in India among 6-7-year-olds, 13-14-year-olds and in their parents/guardians for newer directions to health care providers, policy makers and academicians. Methods: Cross-sectional, multicenter study using self- and parent-administered questionnaire among randomly selected school children aged 6 to 7 years from 8 centers and 13 to 14 years from 9 centers and their respective parents/guardians across India. Results: Prevalence of allergic rhinitis (AR) (%, 95% CI) among 20,084 6-7-year-olds (children), 25,887 13-14-year-olds (adolescents), and 81,296 adults/parents was 7.7% (7.4%-8.1%), 23.5% (23.0%-24.1%), and 9.8% (9.55%-9.96%) and that of eczema was 2.5% (2.3%-2.7%), 3.5% (3.27%-3.71%), and 9.9% (9.7%-10.1%), respectively. Among 6-7-year-olds, AR and eczema showed a significantly (P < .001) declining time trend since the International Study of Asthma and Allergies in school children phase III in 2002-2003. Among 13-14-year-olds, AR (P < .01) but not eczema showed a significant temporal decline. Coexisting atopic condition, parental history of atopy, and some environmental factors consistent with previous studies were significant risk factors among children and adolescents. AR or eczema in either parent strongly predicted the same atopic condition among their adolescent offspring. Among adults, coexisting atopic condition was the strongest predictor of either AR or eczema. Conclusions: There is a slight declining time trend of AR and eczema in India over 2 decades among children and adolescents. Nearly 10% of Indian adults suffer from AR and eczema. Although genetic factors had the strongest association for AR and eczema among all age groups, certain early-life and environmental exposures need consideration to devise preventative strategies.

Differential and Determinants of Neonatal Mortality: A Comparative Study in Northern and Southern Regions of India.

BACKGROUND: The Government of India initiated different programs to reduce neonatal mortality. However, the variability of neonatal deaths occurs among states of India. OBJECTIVE: This study aimed to identify the differential determinants associated with neonatal deaths in northern and southern regions of India. MATERIALS AND METHODS: Bivariate analysis and Cox regression analysis have been performed to evaluate the predictors of neonatal mortality from National Family Health Survey (NFHS-4) data. RESULTS: For neonatal mortality, mother and child factors became more consistent in the southern region than northern regions of the country, while household factor was almost the same in both regions of India. CONCLUSIONS: Primary intervention is also required to reduce public health problem as neonatal mortality. It should be focused on education of mother, birth interval, age at birth, antenatal care, poverty reduction programs, and proper heath facility to pregnant mothers.

Prevalence and Determinants of Adverse Pregnancy Outcomes among Women in India: A Secondary Data Analysis.

OBJECTIVE: The present study aimed to identify the determinants of adverse pregnancy outcomes (abortion, miscarriage, and stillbirth) among women aged 15-49 years in India. METHODOLOGY: Data for the analysis were taken from the latest survey of the National Family Health Survey 2015-2016. The determinants associated with abortion, miscarriage, and stillbirth among women in the age group of 15-49 years were identified. The analysis was done using adjusted binary logistic regression. RESULTS: The contributory variables such as age, level of education, type of residence, wealth status, caste, religion, body mass index (BMI), and anemia level were found to be significantly associated with adverse pregnancy outcomes. The risk of adverse pregnancy outcomes was significantly associated with all the selected predictors. CONCLUSION: This study revealed that high prevalence of adverse pregnancy outcomes was found in India. The association between sociodemographic variables and the pregnancy outcomes are attributed to the fact that there is a lack of availability of fundamental health-care services for young women.

Prevalence and risk factors of anaemia among men: A study based on Empowered Action Group states, India.

BACKGROUND: Despite various programmes initiated by the Government of India, the nutritional indicators are not encouraging, as several problems like undernutrition, malnutrition and anaemia - still persist in the country, especially in the Empowered Action Group (EAG) states. AIM: Because of the dearth of studies regarding anaemia among men in India, the present study aimed to determine its prevalence in this population in the EAG states and to analyse its geographical and socio-demographic determinants. METHODS: The study utilized nationally representative, cross-sectional survey data from round 4 of the National Family Health Survey conducted in 2015-16. Bivariate analysis along with binary logistic regression were performed to assess the predictors of anaemia among men in the EAG states. RESULTS: Around a quarter of the men in the EAG states suffered from anaemia. A similar high-prevalence pattern was observed across the EAG states. Wherein, Bihar and Jharkhand had the highest prevalence of anaemia while Uttarakhand showed the lowest. Age, place of residence, marital status and caste were positively associated with the likelihood of anaemia among men in the EAG states. CONCLUSIONS: Focusing on the EAG states, this study considered the severity of anaemia as a public health problem among men. Strategies to reduce the burden of anaemia among this population are needed. The government should formulate programmes targeting anaemia specifically, and improving the nutritional status among men in general in the EAG states.

When COVID-19 will decline in India? Prediction by combination of recovery and case load rate.

BACKGROUND: The World Health Organization (WHO) declared COVID-19 as a pandemic on March 11, 2020. There is sudden need of statistical modeling due to onset of COVID-19 pandemic across the world. But health planning and policy requirements need the estimates of disease problem from clinical data. OBJECTIVE: The present study aimed to predict the declination of COVID-19 using recovery rate and case load rate on basis of available data from India. METHODS: The reported COVID-19 cases in the country were obtained from website (https://datahub.io/core/covid-19#resource-covid-19_zip/). The confirmed cases, recovered cases and deaths were used for estimating recovery rate, case load rate and death rate till June 04, 2020. RESULTS: A total of 216919 confirmed cases were reported nationwide in India on June 04, 2020. It is found that the recovery rate increased to 47.99% and case load rate decreased to 49.21%. Death rate is found to be very low 2.80%. Accordingly, coincidence of the difference of case load rate and recovery rate (delta) will reveal a declination in expected COVID-19 cases. CONCLUSION: The epidemic in the country was mainly caused by the movement of people from various foreign countries to India. Lockdown as restricting the migration of population and decision taken by the government to quarantine the population may greatly reduce the risk of continued spread of the epidemic in India. This study predicts that when the case load rate gets lesser than recovery rate, there after COVID-19 patients would be started to decline.

Trends in and determinants of neonatal and infant mortality in Nigeria based on Demographic and Health Survey data.

This study aimed to assess the changes in neonatal and infant mortality rates in Nigeria over the period 1990 to 2018 using Nigerian Demographic and Health Survey (NDHS) data, and assess their socio-demographic determinants using data from the most recent survey conducted in 2018. The infant mortality rate was 87 per 1000 live births in 1990, and this increased to 100 per 1000 live births in 2003 - an increase of around 15% over 13 years. Neonatal and infant mortality rates started to decline steadily thereafter and continued to do so until 2013. After 2013, neonatal morality rose slightly by the year 2018. Information for 27,465 infants under 1 year of age from the NDHS-2018 was analysed using bivariate and multivariate analysis and the Cox proportional hazard technique. In 2018, infant deaths decreased as wealth increased, and the incidence of infant deaths was greater among those of Islam religion than among those of other religions. A negative association was found between infant deaths and the size of a child at birth. Infant mortality was higher in rural than in urban areas, and was higher among male than female children. Both neonatal and infant death rates varied by region and were found to be highest in the North West region and lowest in the South region. An increasing trend was observed in neonatal mortality in the 5-year period from 2013 to 2018. Policy interventions should be focused on the poor classes, women with a birth interval of less than 2 years and those living in the North West region of the country.