Background: Nearly 275 million adults (15 years and above) use tobacco in India, which contributes substantially to potentially preventable morbidity and mortality. There is good evidence from developed country settings that use of tobacco cessation services influences intention to quit, with a higher proportion of attempts being successful in fully quitting. There is little evidence about cessation and quitting behaviour in the Indian context. This study assesses the socio-demographic characteristics and cessation services used by adults i) who attempted to quit smoked and smokeless tobacco and ii) who were successful in quitting. Methods: The study was a cross-sectional secondary data analysis of the Global Adult Tobacco Survey, India, 2009-10. There were 25,175 ever tobacco users aged 21 years and above included in the study. Bivariate and multivariate logistic regression analysis was done to determine associations between socio-demographic variables and cessation services utilized with attempts to quit tobacco and successful quitting.

BackgroundDespite a fast-growing economy and the largest anti-malnutrition programme, India has the world’s worst level of child malnutrition. Despite India’s 50% increase in GDP since 1991, more than one third of the world’s malnourished children live in India. Among these, half of the children under age 3 years are underweight and a third of wealthiest children are over-nutrient. One of the major causes for malnutrition in India is economic inequality. Therefore, using the data from the fourth round of National Family Health Survey (2015–16), present study aims to examine the socio-economic inequality in childhood malnutrition across 640 districts of India.MethodConcentration curve and generalized concentration index were used to examine the socioeconomic inequalities in malnutrition. However, regression-based decomposition methodology was used to decomposes the causes of inequality in childhood malnutrition.ResultResult shows that about 38% children in India were stunted and 35% were underweight during 2015–16. Prevalence of stunting and underweight children varies considerably across Indian districts (13 to 65% and 7 to 67% respectively). Districts having the higher share of undernourished children is coming from the particular regions like central, east and west part of the country. On an average about 35% of household in a district having the access of safe drinking water and 42% of household in a district exposed to open defecation. The study found the inverse relationship between district’s economic development with childhood stunting and underweight. The concentration of stunted as well as underweight children were found in least developed districts of India. Decomposition approach found that practice of open defecation is positively influenced the inequality in stunting and underweight. Further, inequality in undernutrition is accelerated by the height and education of the mother, and availability of safe drinking water in a district.ConclusionsThe districts that lied out in a spectrum of developmental diversity are required some specific set of information’s that covering socio-economic, demographic and health-related quality of life of people in those backward districts. More generally, policies to avail improved water and sanitation facility to public and female literacy should be continued. It is also important to see that the benefits of both infrastructure and more general economic development are spread more evenly across districts.

Introduction:India has experienced marked sociocultural change, economic growth and industry promotion of tobacco products over the past decade. Little is known about the influence of these factors on socioeconomic patterning of tobacco use. This study examines trends in tobacco use by socioeconomic status (SES) in India between 2000 and 2012.Methods:We analyzed data in 2014 from nationally-representative repeated cross-sectional National Sample Surveys (NSS) in India for 1999–2000, 2004–2005 and 2011–2012 (n = 346 612 households). Prevalence and volume trends in cigarette, “bidi” and smokeless tobacco use were examined by household expenditure, educational attainment and caste/tribe status using Two-part model.Results:Prevalence of any tobacco use remained consistent in the poorest households (61.5% to 62.7%) and declined among the richest (43.8% to 36.8%) between 2000–2012. Bidi use declined across all groups (poorest: 26.3% to 16.8%, richest: 19.8% to 10.7%) while cigarette use increased (poorest: 1.2% to 1.3%, richest: 6.5% to 7.0%). Relative to educated and general caste households, between 2000 and 2012 cigarette use in illiterate households increased by 38% and among Scheduled Tribe households increased by 32%. Smokeless tobacco use increased for all households (poorest: 26.2% to 33.9%, richest: 11.4% to 13.5%, Scheduled Tribe: 31.1% to 34.8%, general caste: 13.6% to 18.5%), with greater increases among richer, more educated and general caste households.Conclusion:Marked SES patterning of tobacco use has persisted in India. Improving enforcement of tobacco control policies and monitoring comprehensive smoke-free legislations are needed to address this growing burden.Implications:We found “resilient” tobacco patterns in the last decade despite prevention interventions. SES continues to be inversely associated with tobacco products, with the exception of cigarettes. The declines in bidi use may be getting replaced by increase in cigarette use trends, especially among lower SES groups. The use of smokeless tobacco products has increased across all SES groups and the volume of smokeless tobacco use is not been declining despite a number of policies on tobacco use. This may be attributed to inadequate attention to chewed forms of tobacco in current policies, particularly to implementing pictoral warnings and regulating surrogate advertising. Evaluating the implementation of anti-tobacco policies and ensuring equity dimensions in interventions is urgently needed to address tobacco use inequalities.

ObjectivesThe objectives of this study are to: (1) examine the pattern of price elasticity of three major tobacco products (bidi, cigarette and leaf tobacco) by economic groups of population based on household monthly per capita consumption expenditure in India and (2) assess the effect of tax increases on tobacco consumption and revenue across expenditure groups.SettingData from the 2011–2012 nationally representative Consumer Expenditure Survey from 101 662 Indian households were used.ParticipantsHouseholds which consumed any tobacco or alcohol product were retained in final models.Primary outcome measuresThe study draws theoretical frameworks from a model using the augmented utility function of consumer behaviour, with a two-stage two-equation system of unit values and budget shares. Primary outcome measures were price elasticity of demand for different tobacco products for three hierarchical economic groups of population and change in tax revenue due to changes in tax structure. We finally estimated price elasticity of demand for bidi, cigarette and leaf tobacco and effects of changes in their tax rates on demand for these tobacco products and tax revenue.ResultsOwn price elasticities for bidi were highest in the poorest group (−0.4328) and lowest in the richest group (−0.0815). Cigarette own price elasticities were −0.832 in the poorest group and −0.2645 in the richest group. Leaf tobacco elasticities were highest in the poorest (−0.557) and middle (−0.4537) groups.ConclusionsPoorer group elasticities were the highest, indicating that poorer consumers are more price responsive. Elasticity estimates show positive distributional effects of uniform bidi and cigarette taxation on the poorest consumers, as their consumption is affected the most due to increases in taxation. Leaf tobacco also displayed moderate elasticities in poor and middle tertiles, suggesting that tax increases may result in a trade-off between consumption decline and revenue generation. A broad spectrum rise in tax rates across all products is critical for tobacco control.

Background Childhood vaccinations are a vital preventive measure to reduce disease incidence and deaths among children. As a result, immunisation coverage against measles was a key indicator for monitoring the fourth Millennium Development Goal (MDG), aimed at reducing child mortality. India was among the list of countries that missed the target of this MDG. Immunisation targets continue to be included in the post-2015 Sustainable Development Goals (SDG), and are a monitoring tool for the Indian health care system. The SDGs also strongly emphasise reducing inequalities; even where immunisation coverage improves, there is a further imperative to safeguard against inequalities in immunisation outcomes. This study aims to document whether socioeconomic inequalities in immunisation coverage exist among children aged 12–59 months in India. Methods Data for this observational study came from the fourth round of the National Family Health Survey (2015–16). We used the concentration index to assess inequalities in whether children were fully, partially or never immunised. Where children were partially immunised, we also examined immunisation intensity. Decomposition analysis was applied to examine the underlying factors associated with inequality across these categories of childhood immunisation. Results We found that in India, only 37% of children are fully immunised, 56% are partially immunised, and 7% have never been immunised. There is a disproportionate concentration of immunised children in higher wealth quintiles, demonstrating a socioeconomic gradient in immunisation. The data also confirm this pattern of socioeconomic inequality across regions. Factors such as mother’s literacy, institutional delivery, place of residence, geographical location, and socioeconomic status explain the disparities in immunisation coverage. Conclusions In India, there are considerable inequalities in immunisation coverage among children. It is essential to ensure an improvement in immunisation coverage and to understand underlying factors that affect poor uptake and disparities in immunisation coverage in India in order to improve child health and survival and meet the SDGs.

Introduction: Intrathecal opioids when added to local anaesthetics decrease their dosage and provide haemodynamic stability. Nalbuphine is an agonist-antagonist and acts on kappa receptors providing analgesia. Aim:The study aims to compare the analgesic efficacy of fentanyl with that of two doses of nalbuphine when used with injection bupivacaine heavy in spinal anaesthesia.

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ObjectivesIndia bears a significant portion of the global tobacco burden with high prevalence of tobacco use. This study examines the socioeconomic patterning of tobacco use and identifies the changing gender and socioeconomic dynamics in light of the Cigarette Epidemic Model.DesignSecondary analyses of second and third National Family Health Survey (NFHS) data.Setting and participantsData were analysed from 201 219 men and 255 028 women over two survey rounds.Outcomes and methodsOutcomes included smoking (cigarettes, bidis and pipes/cigar), chewed tobacco (paan masala, gutkha and others) and dual use, examined by education, wealth, living environment and caste. Standardised prevalence and percentage change were estimated. Pooled multilevel models estimated the effect of socioeconomic covariates on the log odds of tobacco use by gender, along with fixed and random parameters.FindingsAmong men (2005−2006), gradients in smoking by education (illiterates: 44% vs postgraduates: 15%) and chewing (illiterates: 47% vs postgraduates: 19%) were observed. Inverse gradients were also observed by wealth, living environment and caste. Chewed tobacco use by women showed inverse socioeconomic status (SES) gradients comparing the illiterates (7.4%) versus postgraduates (0.33%), and poorest (17%) versus richest (2%) quintiles. However, proportional increases in smoking were higher among more educated (postgraduates (98%) vs high schooling only (17%)) and chewing among richer (richest quintile (49%) vs poorest quintile (35%)). Among women, higher educated showed larger declines for smoking—90% (postgraduates) versus 12% (illiterates). Younger men (15–24 years) showed increasing tobacco use (smoking: 123% and chewing: 112%). Older women (35–49 years) show higher prevalence of smoking (3.2%) compared to younger women (0.3%).ConclusionsIndian tobacco use patterns show significant diversions from the Cigarette Epidemic Model—from gender and socioeconomic perspectives. Separate analysis by type is needed to further understand social determinants of tobacco use in India.