Urban-Rural Differences in the Prevalence of Diabetes Among Adults in Haryana, India: The ICMR-INDIAB Study (ICMR-INDIAB-18).

INTRODUCTION: Diabetes is a multifactorial disease with far-reaching consequences. Environmental factors, such as urban or rural residence, influence its prevalence and associated comorbidities. Haryana-a north Indian state-has undergone rapid urbanisation, and part of it is included in the National Capital Region (NCR). The primary aim of the study is to estimate the prevalence of diabetes in Haryana with urban-rural, NCR and non-NCR regional stratification and assess the factors affecting the likelihood of having diabetes among adults. METHODS: This sub-group analysis of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study (a nationally representative cross-sectional population-based survey) was done for Haryana using data from 3722 participants. The dependent variable was diabetes, while residence in NCR/non-NCR and urban-rural areas were prime independent variables. Weighted prevalence was estimated using state-specific sampling weights and standardized using National Family Health Survey-5 (NFHS-5) study weights. Associations were depicted using bivariate analysis, and factors describing the likelihood of living with diabetes were explored using a multivariable binary logistic regression analysis approach. RESULTS: Overall, the weighted prevalence of diabetes in Haryana was higher than the national average (12.4% vs. 11.4%). The prevalence was higher in urban (17.9%) than in rural areas (9.5%). The prevalence of diabetes in rural areas was higher in the NCR region, while that of prediabetes was higher in rural non-NCR region. Urban-rural participants' anthropometric measurements and biochemical profiles depicted non-significant differences. Urban-rural status, age and physical activity levels were the most significant factors that affected the likelihood of living with diabetes. CONCLUSIONS: The current analysis provides robust prevalence estimates highlighting the urban-rural disparities. Urban areas continue to have a high prevalence of diabetes and prediabetes; rural areas depict a much higher prevalence of prediabetes than diabetes. With the economic transition rapidly bridging the gap between urban and rural populations, health policymakers should plan efficient strategies to tackle the diabetes epidemic.

Obesity is a communicable disease.

Obesity has multiple causes and correlates. Usually studied as a metabolic and endocrine disease, with mechanical and musculoskeletal comorbidities, obesity also has a communicable angle to it. Obesity can be considered a communicable disease from the conventional point of view, as it is associated with viral etiology in animal and human models. It is also associated with increased prevalence and worse prognosis of infectious diseases. Not only that, obesity is a 'socially communicable' disease, as it 'spreads' amongst people living in similar environments.

Utility of opportunistic screening to assess the impact of urinary incontinence on quality of life and barriers to seeking treatment among women attending a tertiary healthcare centre in North India.

INTRODUCTION: Urinary incontinence (UI) is a common but frequently neglected problem in females, significantly impacting their psychosocial health. The available estimates are an underestimation of a bigger problem. Thus, the study aimed to estimate the prevalence of UI, its associated risk factors, its impact on the Quality of life (QoL), and barriers to treatment-seeking behaviour in women attending tertiary healthcare centres. METHODS: We conducted a cross-sectional study using an opportunistic screening among women visiting a tertiary care hospital in Punjab recruited using multi-stage systematic random sampling. UI was classified as Stress (SUI), Urge (UUI), mixed (MUI), and No Incontinence (UI less than once a week or a month or no complaints) using the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI SF). Bivariate analyses were done using the chi-square test to test the association between the dependent and independent variables. The predictors of UI were explored using univariable and multivariable binary logistic regression and depicted using Odds ratio with 95% confidence intervals. The impact of UI on Quality of Life (QoL) was assessed using the Incontinence Impact Questionnaire-Short Form (IIQ-7), and compared among the three UI types using One-Way ANOVA. Treatment barriers were explored using open-ended questions. RESULTS: Of the 601 women, 19.6% reported UI (stress UI: 10.1%, mixed UI: 6.0%, and urge UI: 3.5%). There were significant clinical-social factors that predicted different types of UI. The UI depicted a significant effect on QoL across all domains of the IIQ-7 (total mean score: 50.8 ± 21.9) compared to women with no incontinence (0.1 + 1.9). The score was highest in women with MUI, followed by SUI and UUI. About two-thirds of the affected women never consulted a doctor and considered it a non-serious condition or a normal ageing process. CONCLUSIONS: The present study found a high prevalence of UI through opportunistic screening across all the women's age groups with different conditions. Due to the associated stigma, clinicians should make every attempt to talk more about this, especially in women with medical conditions that can precipitate UI. Furthermore, the results call for generating more robust estimates through community-based screening studies.

The Barocene Era.

This communication defines and describes the Barocene era, as that phase of human development which is characterized by a major impact of overweight and obesity. We use this term to highlight the fact that overweight and obesity need to be prevented and managed on an urgent footing. If not checked, these endocrine diseases will retard our growth and reduce our well being.

Prevalence of anaemia among married women with recent birth history and high-risk fertility behaviour: secondary data analysis of the National Family Health Survey-India (2019-21).

OBJECTIVES: To describe the prevalence of anaemia among currently married women with high-risk fertility behaviour (HRFB) based on age, parity and birth spacing indicators. DESIGN: Cross-sectional study. SETTINGS AND PARTICIPANTS: Fifth round of the National Family Health Survey (NFHS) was conducted in India (2019-2021) and included a nationally representative sample of 724, 115 women in the reproductive age group (15-49). Our analysis focused exclusively on married women who had given birth in the preceding 5 years. PRIMARY AND SECONDARY OUTCOME MEASURES: The prevalence of anaemia with HRFB was the primary outcome, and the likelihood of having anaemia due to HRFB was the secondary outcome. DATA AND METHODS: Secondary data analysis of the NFHS-5 (2019-2021) datasets was done using a weighted analysis to determine anaemia prevalence in different HRFB categories. Bivariate analysis was done using the χ2 test, and multiple binary logistic regression analyses were done to estimate the odds of having anaemia due to HRFB after adjusting for known confounders. A p value <0.05 was reported as statistically significant. RESULTS: The final analysis comprised 145,468 women, of whom 59.1% had anaemia. About 53.1% of women depicted 'No risk' fertility behaviour, and 34.6% and 12.3% had single and multiple HRFB. Women with 'no-risk,' single and multiple HRFB had anaemia prevalence rates of 58.1%, 59.4% and 63.1%, respectively. Women with 'Single risk' had an 18% higher likelihood (1.18; 1.13-1.22) of having anaemia after controlling for confounding variables, compared with the HRFB category with 'No risk.' Women with 'Multiple risks' showed a 6% higher likelihood (adjusted OR 1.06; 95% CI 1.03 to 1.08). CONCLUSIONS: Anaemia remains a prevalent issue in India, and HRFB is observed as a significant contributing factor. This vulnerable group can be targeted through multiple interventions and further our efforts to realise our anaemia-related goals.

Indian Model of Integrated Healthcare (IMIH): a conceptual framework for a coordinated referral system in resource-constrained settings.

INTRODUCTION: With the escalating burden of chronic disease and multimorbidity in India, owing to its ageing population and overwhelming health needs, the Indian Health care delivery System (HDS) is under constant pressure due to rising public expectations and ambitious new health goals. The three tired HDS should work in coherence to ensure continuity of care, which needs a coordinated referral system. This calls for optimising health care through Integrated care (IC). The existing IC models have been primarily developed and adopted in High-Income Countries. The present study attempts to review the applicability of existing IC models and frame a customised model for resource-constrained settings. METHODS: A two-stage methodology was used. Firstly, a narrative literature review was done to identify gaps in existing IC models, as per the World Health Organization framework approach. The literature search was done from electronic journal article databases, and relevant literature that reported conceptual and theoretical concepts of IC. Secondly, we conceptualised an IC concept according to India's existing HDS, validated by multiple rounds of brainstorming among co-authors. Further senior co-authors independently reviewed the conceptualised IC model as per national relevance. RESULTS: Existing IC models were categorised as individual, group and disease-specific, and population-based models. The limitations of having prolonged delivery time, focusing only on chronic diseases and being economically expensive to implement, along with requirement of completely restructuring and reorganising the existing HDS makes the adoption of existing IC models not feasible for India. The Indian Model of Integrated Healthcare (IMIH) model proposes three levels of integration: Macro, Meso, and Micro levels, using the existing HDS. The core components include a Central Gateway Control Room, using existing digital platforms at macro levels, a bucket overflow model at the meso level, a Triple-layered Concentric Circle outpatient department (OPD) design, and a three-door OPD concept at the micro level. CONCLUSION: IMIH offers features that consider resource constraints and local context of LMICs while being economically viable. It envisages a step toward UHC by optimising existing resources and ensuring a continuum of care. However, health being a state subject, various socio-political and legal/administrative issues warrant further discussion before implementation.

Defining and Diagnosing Obesity in India: A Call for Advocacy and Action.

The prevalence of overweight and obesity has more than doubled since 1980, and it is predicted that around two-thirds of the global burden of the disease will be attributed to chronic non-communicable diseases. Developing countries are experiencing a more dramatic rise in the prevalence of obesity in recent years. As per National Family Health Survey-5 (NFHS-5), one in every four Indians is now having obesity. It has been reported that being overweight and obese is a significant problem among different socioeconomic spectrums of men and women in India, especially among the elderly, people residing in urban regions, and diverse socioeconomic strata. There is an urgent need to identify obesity as a chronic disease requiring immediate attention, mandating timely screening, timely treatment, and economical ways of achieving and managing weight loss across the country. In this review, the authors have discussed various aspects of overweight and obesity and critically appraised the current status of obesity in India, its public health implications, the significance of screening, the role of BMI and other parameters in diagnosing obesity, and the need for treatment and cost-effective prescriptions.

Mapping the stability of febrile illness hotspots in Punjab from 2012 to 2019- a spatial clustering and regression analysis.

INTRODUCTION: Febrile illnesses (FI) represent a typical spectrum of diseases in low-resource settings, either in isolation or with other common symptoms. They contribute substantially to morbidity and mortality in India. The primary objective was to study the burden of FI based on Integrated Disease Surveillance Programme (IDSP) data in Punjab, analyze geospatial and temporal trends and patterns, and identify the potential hotspots for effective intervention. METHODS: A retrospective ecological study used the district-level IDSP reports between 2012 and 2019. Diseases responsible for FI on a large scale, like Dengue, Chikungunya, Malaria (Plasmodium Falciparum, P. Vivax), Enteric fever, and Pyrexia of Unknown Origin (PUO), were included in the analysis. The digital map of Punjab was obtained from GitHub. Spatial autocorrelation and cluster analysis were done using Moran's I and Getis-Ord G* to determine hotspots of FI using the incidence and crude disease numbers reported under IDSP. Further, negative binomial regression was used to determine the association between Spatio-temporal and population variables per the census 2011. Stable hotspots were depicted using heat maps generated from district-wise yearly data. RESULTS: PUO was the highest reported FI. We observed a rising trend in the incidence of Dengue, Chikungunya, and Enteric fever, which depicted occasional spikes during the study period. FI expressed significant inter-district variations and clustering during the start of the study period, with more dispersion in the latter part of the study period. P.Vivax malaria depicted stable hotspots in southern districts of Punjab. In contrast, P. Falciparum malaria, Chikungunya, and PUO expressed no spatial patterns. Enteric Fever incidence was high in central and northeastern districts but depicted no stable spatial patterns. Certain districts were common incidence hotspots for multiple diseases. The number of cases in each district has shown over-dispersion for each disease and has little dependence on population, gender, or residence as per regression analysis. CONCLUSIONS: The study demonstrates that information obtained through IDSP can describe the spatial epidemiology of FI at crude spatial scales and drive concerted efforts against FI by identifying actionable points.

Exercise And Physical Activity Diversity.

In this reflective opinion piece, we introduce the concepts of exercise diversity and physical activity diversity. Similar to dietary diversity and dietary variety, exercise/physical activity diversity represents part of a comprehensive target of ideal health, an objective parameter to audit one's progress towards such a goal, and a means of accomplishing this aim. We define this concept as the number of types of exercise, the number of limbs and body parts exercised or muscle groups involved, the variety of intensity, or the number of variations in methods of exercise used. A non-weighted score may be allocated to each exercise, limb, and muscle group to get a raw idea of diversity.

Factors Contributing to the Change in Overweight/Obesity Prevalence Among Indian Adults: A multivariate decomposition analysis of data from the National Family Health Surveys.

INTRODUCTION: Concerns over the escalating burden of non-communicable diseases call for the redressal of behavioral risk factors like increased body mass index. Most studies have failed to quantify the contribution of socio-demographic characteristics in a linear trend. The present study aims to estimate the current prevalence of overweight and obesity in Indian adults and the contribution of different socio-demographic factors to the increasing prevalence. METHODS: We carried out a secondary data analysis of two National Family Health Survey (NFHS) rounds. The final sample includes 558,122 women and 84,477 men from round 4, and 574,099 women and 74,761 men were included from round 5, using a multi-stage stratified random sampling approach. Overweight/obesity was our primary dependent variable. Weighted bivariate analysis was used to ascertain the prevalence, and the adjusted odds ratios were computed to ascertain the potential predictors. The contribution of different factors towards rising burden over two time points was estimated using multivariate decomposition analysis for non-linear response models. RESULTS: Overall weighted prevalence of overweight and obesity in males and females per NFHS-5 was 44.02% and 41.16%, respectively, compared to 37.71% and 36.14% in NFHS-4. Decomposition analyses depict that the proportion of obesity increased by 6.37% and 5.10% points among men and women, respectively, over the two rounds. Compositional differences of participants (endowment) attributed to 16.54 and 49.90% differences, and the difference in coefficient or effect accounted for 83.46 and 50.10%, respectively, of the increase in the prevalence. The most significant factors contributing to increased prevalence were age, improving socio-economic status, smoking, unclean cooking fuel, and diabetes. CONCLUSIONS: The incremental rise in such a short period, mainly attributed to the effect of socio-demographic variables, is concerning. Policy interventions should prioritize health advocacy programs and aggressively target behavioral modifications while preparing the health systems to manage the people living with obesity.

Trends and determinants of tobacco use initiation in India: analysis of two rounds of the Global Adult Tobacco Survey.

OBJECTIVES: Early initiation of tobacco use can lead to lifelong addiction and increases tobacco-attributable morbidity and mortality. This study assesses trends in tobacco use initiation and factors associated with tobacco use initiation using disaggregated data from two rounds of the Global Adult Tobacco Survey India (GATS; 2009-2010 (GATS 1) and 2016-2017 (GATS 2)). DESIGN: Secondary analysis of repeated cross-sectional studies. SETTINGS AND PARTICIPANTS: The study involved data from 69 296 individuals and 76 069 households in GATS 1 and 74 037 individuals and 77 170 households in GATS 2, two rounds of a nationally representative survey in India. OUTCOME MEASURES: Mean age of initiation (as recalled by the participants) of smoked and smokeless tobacco (SLT) use (dependent variable) was compared and analysed across different sociodemographic variables (independent factors). We assessed change in mean age of initiation of tobacco usage on a daily basis between GATS 1 and GATS 2, and investigated the factors associated with early tobacco use initiation in the GATS 2 dataset (reported using adjusted ORs (aORs) with 95% CIs). RESULTS: The mean age of initiation of smoked tobacco and SLT in GATS 2 was 20.9±8.5 and 22.3±10.6 years, compared with 18.5±9.7 and 19.7±12.0 years in GATS 1. The mean age of initiation increased with age and among those who were better aware of the adverse effects of tobacco. As per GATS 2, males initiated smoked tobacco and SLT use earlier (20.6±7.4 and 21.7±9.1) than females (23.3±14.2 and 23.2±12.6 years). Younger participants (15-24 years) reported earlier initiation of SLT (15.5±4.2 years) compared with others. Binary logistic regression depicted variables associated with early initiation of tobacco. Awareness about the harms caused by tobacco affected the odds of SLT (aOR 1.4, 95% CI 1.3 to 1.7) and dual usage initiation (1.8, 1.6 to 2.0), but not of initiation of smoked tobacco products (1.1, 0.9 to 1.2). CONCLUSIONS: More robust health advocacy campaigns that communicate the harmful effects of tobacco on health could be useful to delay tobacco initiation, along with reducing the ease of access and affordability of tobacco products among vulnerable groups.

Is there a ubiquitous association between sleep disorder and frailty? findings from LASI (2017-18).

BACKGROUND: Relatively little is known about how sleep disorders affect frailty of seniors. The study uses Fried's frailty index, to investigate the relationship between sleep disorder and frailty among older Indian adults. METHODS: The study analysed Longitudinal Ageing Study in India (2017-18) data which uses a multistage stratified area probability cluster sampling design. The association between frailty was studied for which the total sample size was 31,902. The principal dependent variable was frailty. Descriptive statistics and cross-tabulation were presented in the study. A binary logistic regression analysis was used to fulfil the study objectives to find the possible association. RESULTS: The prevalence of frailty in India was 21.3 percent. Older adults with sleep disorder had 66 percent higher likelihood to be frail than their counterparts. The benefits of physical activity in containing frailty is huge, the association were quite high. Poor Self-rated health was significantly associated with higher frailty (OR = 1.73; CI = 1.47-2.04). CONCLUSIONS: Frailty is an enormously growing public health issue and has bi-directional relation with sleep disorders. The study has clinical relevance since sleep complaints offer a means for identifying those who are vulnerable to frailty and through appropriate intervention, the causes of sleep disorder would help to delay and in some cases reverse frailty.

Hidden hunger and diabetes care.

This communication discusses the concept of hidden hunger, or micro- nutrient deficiency, and its link with diabetes care. It provides simple tools to help diabetes care providers suspect and identify micronutrient deficiency in their clinic. The authors highlight the need to tackle the third frontier of malnutrition - micronutrient deficiency, and add a third component -electrolyte and fluid balance, to the definition of hidden hunger.

Primary Care Screening Tool for Polycystic Ovary Syndrome: Step One in the Battle Against Non-Communicable Disease.

Polycystic ovary syndrome (PCOS) is often the first manifestation, in adolescents and young adults, of metabolic problems that may occur later. Early identification, timely referral and appropriate treatment can result in improved reproductive, metabolic and comprehensive health. However, unlike other components of metabolic syndrome, which can be diagnosed at primary care level, there is no inexpensive, clinical tool to screen for PCOS. We share a simple six-item questionnaire, structured in three domains, which can be used as a screening tool for the syndrome. This allows early diagnosis and management of the condition, facilitates a life course approach to health promotion, and lays the foundation for the prevention of other comorbid metabolic disorders. It also helps integrate national programmes concerning non-communicable disease and women's healthcare under one umbrella, thus optimizing and strengthening delivery of community care.

Childhood Obesity and Essential Micronutrients: Insights from India's Comprehensive National Nutrition Survey (2016-18).

INTRODUCTION: Based on the long-term impact of childhood obesity, there is a compelling need to assess the burden of obesity and micronutrient deficiency and the interactions between the two. Thus, the aims of the study were to estimate the prevalence of overweight and obese children and adolescents to compare micro-nutrient levels in these children with normal and underweight categories and explore the factors affecting overweight and obesity in the presence of micronutrient deficiencies. METHODS: Secondary data analysis of the Comprehensive National Nutrition Survey-India (2017-2018) was done. The survey recorded information from 112,245 preschool children (6-60 months), school age children (5-9 years), and adolescents (10-19 years). Half of these participants were invited for biochemical testing and were included in our analysis. The presence of overweight or obesity and micronutrient (serum erythrocyte folate; vitamin B12, A, and D; ferritin; zinc; and urinary iodine) deficiencies were the primary outcomes. The secondary outcome included the mean serum levels and predictors of overweight and obesity in the presence of micronutrient deficiencies. RESULTS: Of the 38,060, 38,355, and 35,830 preschool, school-age, and adolescent study participants, about 2.69, 4.18, and 4.99% were overweight or obese. We observed significant variations in the mean folate and vitamin B12 levels among the overweight and obese preschool and school-age children compared to the normal weight group. School-age children exhibited significant differences in all micronutrient levels. In contrast, adolescents only showed substantial differences in vitamin D and A and serum ferritin levels. The predictors of overweight and obesity included geographical locations, wealth quintiles, and societal castes. Iron, folate, vitamin D, and zinc levels significantly affect the odds of developing childhood overweight and obesity. CONCLUSIONS: It is vital to halt the growing burden of childhood overweight and obesity. Addressing micronutrient deficiencies can help us bring a sustainable and feasible approach to managing this menace.

Implications of vitamin D deficiency in systemic inflammation and cardiovascular health.

Clinical, epidemiological, and molecular studies have sufficiently highlighted the vitality of vitamin D [25(OH)D and 1,25(OH)2D] in human health and wellbeing. Globally, vitamin D deficiency (VDD) has become a public health concern among all age groups. There is a very high prevalence of VDD per the estimates from several epidemiological studies on different ethnic populations. But, population-specific scales do not support these estimates to define VDD clinically and consistent genetic associations. However, clinical studies have shown the relevance of serum vitamin D screening and oral supplementation in improving health conditions, pointing toward a more prominent role of vitamin D in health and wellness. Routinely, the serum concentration of vitamin D is measured to determine the deficiency and is correlated with physiological conditions and clinical symptoms. Recent research points toward a more inclusive role of vitamin D in different disease pathologies and is not just limited to otherwise bone health and overall growth. VDD contributes to the natural history of systemic ailments, including cardiovascular and systemic immune diseases. Considering its significant impact on premature morbidity and mortality, there is a compelling need to comprehensively review and document the direct and indirect implications of VDD in immune system deregulation, systemic inflammatory conditions, and cardio-metabolism. The recommendations from this review call for furthering our research concerning vitamin D and its direct and indirect implications.

The 5A model for non- communicable disease advocacy.

We share a comprehensive 5A model which puts in perspective a clear-cut method to approach and address non communicable disease (NCD) advocacy. We suggest that the first step towards NCD control is awareness amongst health care professionals, and acceptance of their responsibility towards public health. Once this is done, active assertion follows, and leads to action on the ground. Regular audit, however, is necessary, to ensure effective and efficient advocacy for NCD. This model should be followed in all health care settings, including primary care diabetes.

Epidemiology of type 2 diabetes mellitus and treatment utilization patterns among the elderly from the first wave of Longitudinal Aging study in India (2017-18)using a Heckman selection model.

INTRODUCTION: Unmanaged Type 2 diabetes mellitus (T2DM) substantially contributes to the multi-morbidity of the elderly. Fewer research has concentrated on understanding the determinants of treatment utilization among older people, with even lesser concerns about missing data in outcome variables leading to biased estimates. The present study intends to evaluate the epidemiology of T2DM in the elderly in India and explore the socioeconomic and behavioral risk factors determining the treatment utilization among the elderly > 60 years in India by addressing the missing data to generate robust estimates. METHODS: The secondary analysis used data from the Longitudinal Ageing Study in India. The key dependent variables were the presence or absence of T2DM and treatment utilization. Descriptive statistics were used to understand the differences in the prevalence of diabetes and the utilization of treatment across various socio-demographic characteristics. Heckman's statistical technique evaluated the predictors of T2DM and treatment utilization. Analysis was done using STATA software version 14.0. RESULTS: Almost 14% elderly reported to be living with T2DM. The odds of living with T2DM increased with non-working status, a sedentary lifestyle, and a higher BMI. A higher proportion of the elderly was on oral drugs than insulin and had been practicing lifestyle modifications to control their disease. The probability of developing T2DM was lower among females than males, but females had better odds for treatment utilization of health medication than males. Lastly, treatment utilization was significantly affected by socio-demographic characteristics like education and monthly per capita expenditure. CONCLUSIONS: Treatment utilization by the elderly living with T2DM is significantly affected by socio-demographic characteristics. Keeping in mind the increasing proportion of the geriatric population in our country, it is pertinent to tailor-made counseling sessions for the elderly to improve medication utilization and adherence and realize our goals concerning non-communicable diseases.

Awareness regarding the antitobacco laws and perceptions regarding interventions for effective tobacco control among young adults of Haryana, India.

Background: Tobacco is one of the major behavioral risk factors for noncommunicable diseases in India. Tobacco control depends on public awareness regarding prevalent antitobacco measures. Objectives: The present study documents the understanding of young adults (<25 years) regarding the antitobacco laws and their perception regarding interventions for effective tobacco control. Methods: A cross-sectional study was conducted in two districts of Haryana. A semistructured questionnaire was used to assess tobacco use, participants' awareness of sections 4, 5, 6 (a), and 8 of the Cigarette and Other Tobacco Products Act (COTPA, 2003), sources of information about antitobacco laws, and their implementation. The perception of participants about the effectiveness of laws and provisions was assessed using a three-point Likert scale. Results: Of the 1470 participants, 517 (35.2%) smoked or used smokeless products. They reported the media (84.6%) to be the most critical source of information about antitobacco laws, followed by the health department (57.6%) and family/peer group (44.9%). Most participants were aware of the prohibition of smoking in offices or banks, educational institutions, hospitals, and other public places. Both tobacco users and nonusers perceived health education programs to be an effective intervention to reduce tobacco use (P < 0.01). Conclusion: The awareness regarding COTPA has increased among the general population. The media could be a powerful tool to counteract the pro-tobacco cues in society. The need of the hour is to focus on improving compliance with antitobacco laws at the population level to achieve a tobacco-free India.