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About the study:

Epidemiological overview:

India is the second most populous country in the world, and the third largest producer and consumer of tobacco. The country has a long history of tobacco use and a variety of ways of smokeless tobacco use and smoking, of which cigarettes form only a minor part. Almost all forms of tobacco use carry serious health consequences. However, if we estimate the death and disease burdens from tobacco use in India only based on cigarette smoking, we may grossly underestimate the results. Previous estimates of tobacco-attributable mortality in India were based on the results of cohort studies in rural areas of Ernakulam District, Kerala, and in Srikakulam District, Andhra Pradesh. These studies followed cohorts of over 10,000 villagers aged >=15 years in a house-to-house approach for 10 years. Thus, we obtained accurate estimates of all-cause mortality, which allowed us to make estimates of the relative risks for different tobacco use. By using conservative figures and employing 1986 mortality data for the whole of India, researchers estimated that tobacco-attributable mortality in the country amounted to 630,000 deaths per year. Since there was no data on the causes of death, we did not calculate cause-specific mortalities. To get cause-specific tobacco-attributable mortality in India, we started cohort study in Mumbai in 1990.

Context and problem statement:

To study tobacco use and mortality among adult aged 35 >= years.

Study objective:

To assess cause specific mortality attributable to the use of tobacco in the form of smoking and chewing.

Research Question:

Will tobacco users have a greater death rate than non-users?

Aim:

To recruit adults >=35 years old and do baseline survey & subsequent follow up survey.

Approach:

The sampling frame used was the electoral rolls, which provided the name, age, sex, and address of all individuals aged >18 years. The rolls were fairly complete since almost everyone aged >18 years is entitled to vote and they are updated before every major election through house-to-house visits. After selecting a polling station, all individuals aged >=35 years on the appropriate electoral list were approached house-to-house by investigators for an interview.

Methodology:

During 1991-97, we recruited 148,173 men and women aged >=35 years in Mumbai city, using the voters’ list as the selection frame. We conducted the first follow-up during 1997-2003 and the second follow-up during 2004-2018.

Outcomes:

The study reported for the first time about the excess all-cause and cause-specific mortality from various forms of tobacco use other than cigarette smoking. The study concluded for the first time that bidi smoking is no less hazardous than cigarette smoking, and smokeless tobacco use may also result in significantly increased mortality.

Type of Study:

Prospective Cohort Study

Study Participants:

Permanent residents of the city of Mumbai aged 35 years and older.

Timeline:

Started 1990 - second follow up ended - 2018

Collaborators:

None

Principal Investigators:

Dr. Prakash C. Gupta
Dr. Mangesh S. Pednekar

Current Status: (Dec 2024)

1. Data analysis is going on.

Publications:

MCS solely

1. Pednekar MS, Vasa J, Narake SS, Sinha DN, Gupta PC. Tobacco and Alcohol Associated Mortality among Men by Socioeconomic Status in India. Epidemiol - Open J. 2016;1(1):2–15.

2. Gupta, Prakash. "Involving School Teachers in Tobacco Control: A Story from Bihar." India, Century Publications, 2023, pp. 47–53.

3. Pednekar MS, Hakama M, Gupta PC. Tobacco use or body mass - do they predict tuberculosis mortality in Mumbai, India? results from a population-based cohort study. PLoS One. 2012;7(7):0–1.

4. Pednekar MS, Gupta R, Gupta PC. Illiteracy, low educational status, and cardiovascular mortality in India. BMC Public Health [Internet]. 2011;11(1):567. Available from: http://www.biomedcentral.com/1471-2458/11/567

5. Pednekar MS, Gupta PC, Yeole BB, Hébert JR. Association of tobacco habits, including bidi smoking, with overall and site-specific cancer incidence: Results from the Mumbai cohort study. Cancer Causes Control. 2011;22(6):859–68.

6. Hebert JR, Pednekar MS, Gupta PC. Forced expiratory volume predicts all-cause and cancer mortality in Mumbai, India: Results from a population-based cohort study. Int J Epidemiol. 2010;39(6):1619–27

7. Pednekar MS, Gupta R, Gupta PC. Association of blood pressure and cardiovascular mortality in India: Mumbai cohort study. Am J Hypertens [Internet]. 2009;22(10):1076–84. Available from: http://dx.doi.org/10.1038/ajh.2009.131

8. Pednekar MS, Hébert JR, Gupta PC. Tobacco use, body mass and cancer mortality in Mumbai Cohort Study. Cancer Epidemiol. 2009;33(6):424–30.

9. Pednekar MS, Gupta PC, Hebert JR, Hakama M. Joint effects of tobacco use and body mass on all-cause mortality in Mumbai, India: Results from a population-based cohort study. Am J Epidemiol. 2008;167(3):330–40.

10. Pednekar MS, Hakama M, Hebert JR, Gupta PC. Association of body mass index with all-cause and cause-specific mortality: Findings from a prospective cohort study in Mumbai (Bombay), India. Int J Epidemiol. 2008;37(3):524–35.

11. Pednekar MS, Gupta PC. Prospective study of smoking and tuberculosis in India. Prev Med (Baltim). 2007;44(6):496–8.

12. Pednekar MS, Gupta PC, Shukla HC, Hebert JR. Association between tobacco use and body mass index in urban Indian population: Implications for public health in India. BMC Public Health. 2006;6:1–8.

13. Gupta PC, Pednekar MS, Parkin DM, Sankaranarayanan R. Tobacco associated mortality in Mumbai (Bombay) India. Results of the Bombay Cohort Study. Int J Epidemiol. 2005;34(6):1395–402.

14. Sorensen G, Gupta PC, Pednekar MS. Social disparities in Tobacco use in Mumbai, India: The roles of occupation, education, and gender. Am J Public Health. 2005;95(6):1003–8.

15. Gupta PC, Maulik PK, Pednekar MS, Saxena S. Concurrent alcohol and tobacco use among a middle-aged and elderly population in Mumbai. Natl Med J India. 2005;18(2):88–91.

16. Gupta PC, Gupta R, Pednekar MS. Hypertension prevalence and blood pressure trends in 88 653 subjects in Mumbai, India [2]. J Hum Hypertens. 2004;18(12):907–10.

17. Gupta PC, Saxena S, Pednekar MS, Maulik PK. Alcohol consumption among middle-aged and elderly men: A community study from Western India. Alcohol Alcohol. 2003;38(4):327–31.

18. Shukla HC, Gupta PC, Mehta HC, Hebert JR. Descriptive epidemiology of body mass index of an urban adult population in Western India. J Epidemiol Community Health. 2002;56(11):876–80.

19. Gupta PC, Mehta HC. Cohort study of all - Cause mortality among tobacco users in Mumbai, India. Bull World Health Organ. 2000;78(7):877–83.

20. Gupta PC. Survey of sociodemographic characteristics of tobacco use among 99,598 individuals in Bombay, India using handheld computers. Tob Control [Internet]. 1996;5(2):114–20. Available from: https://doi.org/10.1136/tc.5.2.114

Asia cohort consortium

1. Downward GS, Hystad P, Tasmin S, Abe SK, Saito E, Rahman MS, et al. Long-term exposure to particulate matter and all-cause and cause-specific mortality in an analysis of multiple Asian cohorts. Environ Int [Internet]. 2024;189(January):108803. Available from: https://doi.org/10.1016/j.envint.2024.108803

2. De la Torre K, Song M, Abe SK, Rahman MS, Islam MR, Saito E, et al. Diabetes and gastric cancer incidence and mortality in the Asia Cohort Consortium: A pooled analysis of more than a half million participants. J Diabetes. 2024;16(6).

3. Oze I, Ito H, Koyanagi YN, Abe SK, Rahman MS, Islam MR, et al. Obesity is associated with biliary tract cancer mortality and incidence: A pooled analysis of 21 cohort studies in the Asia Cohort Consortium. Int J Cancer. 2024;154(7):1174–90.

4. Ho NT, Abe SK, Rahman MS, Islam R, Saito E, Gupta PC, et al. Diabetes is associated with increased liver cancer incidence and mortality in adults: A report from Asia Cohort Consortium. Int J Cancer. 2024;155(5):854–70.

5. Yang JJ, Wen W, Zahed H, Zheng W, Lan Q, Abe SK, et al. Lung Cancer Risk Prediction Models for Asian Ever-Smokers. J Thorac Oncol. 2024;19(3):451–64.

6. Lee S, Jang J, Abe SK, Rahman S, Saito E, Islam R, et al. Association between body mass index and oesophageal cancer mortality: A pooled analysis of prospective cohort studies with >800 000 individuals in the Asia Cohort Consortium. Int J Epidemiol. 2022;51(4):1190–203.

7. Yang JJ, Yu D, Shu XO, Wen W, Rahman S, Abe S, et al. Reduction in total and major cause-specific mortality from tobacco smoking cessation: a pooled analysis of 16 population-based cohort studies in Asia. Int J Epidemiol. 2021;50(6):2070–81.

8. Yang JJ, Yu D, Shu XO, Freedman ND, Wen W, Rahman S, et al. Quantifying the association of low-intensity and late initiation of tobacco smoking with total and cause-specific mortality in Asia. Tob Control. 2021;30(3):328–35.

9. Yang JJ, Yu D, Wen W, Shu XO, Saito E, Rahman S, et al. Tobacco Smoking and Mortality in Asia A Pooled Meta-analysis. JAMA Netw Open. 2019;2(3):1–14.

10. Yang JJ, Yu D, Wen W, Saito E, Rahman S, Shu XO, et al. Association of Diabetes with All-Cause and Cause-Specific Mortality in Asia: A Pooled Analysis of More Than 1 Million Participants. JAMA Netw Open. 2019;2(4).

11. Ugai T, Ito H, Oze I, Saito E, Rahman MS, Boffetta P, et al. Association of BMI, smoking, and alcohol with multiple myeloma mortality in Asians: A pooled analysis of more than 800,000 participants in the Asia cohort Consortium. Cancer Epidemiol Biomarkers Prev. 2019;28(11):1861–7.

12. Yang K, Zhang Y, Saito E, Rahman MS, Gupta PC, Sawada N, et al. Association between educational level and total and cause-specific mortality: A pooled analysis of over 694 000 individuals in the Asia Cohort Consortium. BMJ Open. 2019;9(8).

13. Gloria Kang GJ, Ewing-Nelson SR, Mackey L, Schlitt JT, Marathe A, Abbas KM SS. Association between type 2 diabetes and risk of cancer mortality: a pooled

14. Fowke JH, McLerran DF, Gupta PC, He J, Shu XO, Ramadas K, et al. Associations of body mass index, smoking, and alcohol consumption with prostate cancer mortality in the Asia cohort consortium. Am J Epidemiol. 2015;182(5):381–9.

15. Zheng W, McLerran DF, Rolland BA, Fu Z, Boffetta P, He J, et al. Burden of Total and Cause-Specific Mortality Related to Tobacco Smoking among Adults Aged ≥45 Years in Asia: A Pooled Analysis of 21 Cohorts. PLoS Med. 2014;11(4).

16. Ramadas K, Inoue M, Tsugane S, Gao Y tang. Association of body mass index and risk of death from pancreas cancer in Asians: findings from the Asia Cohort

17. Zheng W, McLerran DF, Rolland B, Zhang X, Inoue M, Matsuo K, et al. Association between Body-Mass Index and Risk of Death in More Than 1 Million Asians. N Engl J Med. 2011;364(8):719–29.

18. Boffetta P, McLerran D, Chen Y, Inoue M, Sinha R, He J, et al. Body mass index and diabetes in Asia: A cross-sectional pooled analysis of 900,000 individuals in the Asia cohort consortium. PLoS One. 2011;6(6).

NCD risk factor collaboration

1. Iurilli MLC, Zhou B, Bennett JE, Carrillo-Larco RM, Sophiea MK, Rodriguez-Martinez A, et al. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. Elife. 2021;10:1–35.

2. NCD-RisC NR. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Yearb Paediatr Endocrinol. 2021;396.

3. Ezzati M, Zhou B, Bentham J, Di Cesare M, Bixby H, Danaei G, et al. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018 population-based measurement studies with 88.6 million participants. Int J Epidemiol. 2018;47(3):872-883i.

4. Zhou B, Bentham J, Di Cesare M, Bixby H, Danaei G, Cowan MJ, et al. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. Lancet. 2017;389(10064).

5. NCD Risk Factor Collaboration. Supplementary Appendix to NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adol. Lancet [Internet]. 2017;390(17):1–437. Available from: https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(17)32129-3/fulltext?elsca1=tlpr#seccestitle150

6. Bentham J, Di Cesare M, Bilano V, Bixby H, Zhou B, Stevens GA, et al. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627–42.

7. Di Cesare M, Bentham J, Stevens GA, Zhou B, Danaei G, Lu Y, et al. Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387(10026).

8. Bentham J, Di Cesare M, Stevens GA, Zhou B, Bixby H, Cowan M, et al. A century of trends in adult human height. Elife. 2016;5(2016JULY).

Global burden of disease group

1. Haakenstad A, Yearwood JA, Fullman N, Bintz C, Bienhoff K, Weaver MR, et al. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Glob Heal. 2022;10(12):e1715–43.

2. Reitsma MB, Kendrick PJ, Ababneh E, Abbafati C, Abbasi-Kangevari M, Abdoli A, et al. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet. 2021;397(10292):2337–60

3. Kendrick PJ, Reitsma MB, Abbasi-Kangevari M, Abdoli A, Abdollahi M, Abedi A, et al. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: A systematic analysis from the Global Burden of Disease Study 2019. Lancet Public Heal. 2021;6(7):e482–99.

4. Initiative B, Disorders N. The burden of neurological disorders across the states of India: the Global Burden of Disease Study 1990-2019. Lancet Glob Heal. 2021;9(8):e1129–44.

5. Christopher P, Metrics H. Europe PMC Funders Group Europe PMC Funders Author Manuscripts Europe PMC Funders Author Manuscripts Five insights from the Global Burden of Disease Study 2019. 2020;396(10258):1135–59.

6. Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ, et al. National, regional, and global trends in body-mass index since 1980: Systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants. Lancet. 2011;377(9765):557–67.

7. Danaei G, Finucane MM, Lin JK, Singh GM, Paciorek CJ, Cowan MJ, et al. National, regional, and global trends in systolic blood pressure since 1980: Systematic analysis of health examination surveys and epidemiological studies with 786 country-years and 5·4 million participants. Lancet. 2011;377(9765):568–77.

Global Cardiovascular Risk Consortium

1. Global Cardiovascular Risk Consortium. (2025). Global Effect of Cardiovascular Risk Factors on Lifetime Estimates. New England Journal of Medicine.

About the study:

This study was done to perform a case-control analysis to test the hypothesis that candidate SNPs are associated with increased BcCA risk and that subjects with both poor (pro-inflammatory, high-fat) diets and candidate risk genotypes have even greater BrCA risks compared to subjects without a risk allele and with more healthy diets.

Type of study:

Genetic and Dietary Case-Control study of Breast Cancer

Timeline:

2009-2013

Collaborators:

Arnold School of public Health, Tata Memorial Hospital and Healis – Sekhsaria Institute for Public Health.

Principal Investigator:

Dr. Jim Burch, James Herbert (Co-investigator), Susan E. Steck (Co-investigator), Dr. Rajiv Sarin (Co-investigator), Dr. P.C. Gupta (Co-investigator)

Study Participants:

Altogether, we had 2357 diet forms (FFQs) received, coded and shared from ACTREC so far with the team. Details of the Food frequency questionnaires are as follows:

BGSC (Sporadic Cases) -1183
BGFC (Familial Cases) -064
BGSN (Sporadic Normal) -1086
BGFN (Familial Normal) -024

Publications:

About the study:

The broad objective of the TCP India Project is to evaluate and understand the prevalence and patterns of tobacco use and impact of tobacco control policies of the Framework Convention on Tobacco Control (FCTC) as they are implemented in low- and middle-income countries (LMICs) participating in the International Tobacco Control Policy Evaluation Project (the ITC Project).
Note: The name Tobacco Control Project (TCP) is used in reference to the India Project instead of International Tobacco Control (ITC) Project, used with other countries, because in India the abbreviation ITC also refers to the Indian Tobacco Company.

Type of study:

Longitudinal cohort study

Timeline:

01 Feb, 2017 to 31 Dec, 2021

Collaborators:

University of Waterloo, Canada

Study Participants:

A total of 2000 tobacco users and 600 non-users from urban and rural population sample were selected from each of the four states of Maharashtra, Madhya Pradesh, West Bengal and Bihar for the study. Wave 1 and Wave 2 of the TCP India project have already been executed. As a follow-up, in Wave 3 re-contact of participants recruited in previous waves across these four states have been done.

About the study:

This study aims to prospectively measure Community Tobacco Environmental (CTE) factors (i.e., objective assessments of community level compliance with tobacco control laws, availability of all forms of tobacco products including gutkha and e-cigarettes, and the presence of tobacco vendors and advertisements). The study will also estimate whether CTE factors are longitudinally associated with adolescent tobacco use initiation and trajectories

Type of study:

Longitudinal Cohort study extending over a period of five years

Timeline:

August 2016-December 2021

Collaborators:

1)University of Michigan, USA
2)University of California (UCLA), Los Angeles, Fielding School of Public Health, USA

Principal Investigators:

Dr. Mangesh S Pednekar, Dr. Ritesh Mistry.

Co-Investigators:

Dr. Prakash C. Gupta, Dr. William McCarthy, Prof. Trivellore Raghunathan,
Dr. Namrata Puntambekar.

Study Participants:

Approximately 2000 adolescents and their parents will be surveyed and followed up over a period of four years in two cities in India- Mumbai and Kolkata.

Publications:

Longitudinal study of adolescent tobacco use and tobacco control policies in India.

Neighbourhood tobacco retail access and tobacco use susceptibility in young adolescents in urban India.

Family functioning within the context of families with adolescent children in urban India.

Current Status:

As of September 2022
• Wave 3 data collection is completed and currently working on developing survey tools for Wave 4.
• All the tools (consent, scripts, and questionnaire) for Wave 4 have been finalized in all the languages (English, Hindi, Marathi, and Bengali).
• Community mapping has been completed in all the areas in Mumbai and Kolkata.

About the study:

Epidemiological overview:

According to World Health Organization (WHO), by 2030, more than 8 million people globally are expected to die from tobacco-related causes, 80% of whom will be from LMICs. In India in 2010 alone, an estimated 930,000 people died from smoking, and in 2008, an additional 368,000 deaths were attributed to smokeless tobacco use, illustrating the complex effects of the use of multiple forms of tobacco. Reflecting these trends, India has one of the highest oral cancer rates in the world. In 2010, the prevalence of tobacco use among men in India was 48% and among women was 20%.

Context and Problem Statement:

The National Cancer Institute (USA) formed its Center for Global Health aimed at reducing the global burden of cancer. Although India was an early signatory to the Framework Convention on Tobacco Control, few resources were available to support tobacco use cessation, the prevalence of quitting was low and, few social norms supported quitting. Ensuring the availability of adequate evidence and making use of available evidence to respond by pressing public health issues, particularly in light of the lag time between efficacy/effectiveness research and implementation of evidence-based intervention in practice.

Study objective:

To identify effective strategies for broad-based implementation of the evidence-based tobacco control intervention (tested in schools of Bihar) that could be embedded in existing organizational infrastructures and could accommodate the realities of low-resource settings. The study was implemented in schools in Bihar.

Research Question:

To achieve this objective our central research question was: will this evidence-based intervention be successfully adopted, implemented, and maintained through existing channels using the proposed implementation model?


Accordingly, the Specific aims of the study are:

Aim 1.

Determine the extent to which this implementation model meets acceptable rates of program adoption, implementation, and reach of the program among schools in Bihar.

Approach:

In India, the education system is structured hierarchically, with schools nested within clusters, clusters within blocks, and blocks within districts. The dissemination of new curricula typically follows a cascade model, progressing through this nested structure. For this study, we leveraged this existing framework by training cluster coordinators—those responsible for curriculum training—to build the capacity of school principals to implement and maintain the TFT-TFS program effectively using the Trainings-of-Trainers strategy. Cluster coordinators were trained to provide ongoing training, guidance, and support to school principals throughout the implementation phase.

Methodology:

A randomized control trial (RCT) design was employed. After securing the support letter from three districts, selected two blocks from each of the three districts and randomly assigned one block per district to the intervention and control arm. A total of 219 school headmasters from 46 clusters within three blocks of the intervention arm were trained by 46 cluster coordinators at their respective cluster resource centers. Trained headmasters or designees implemented the TFT-TFS program in their schools.

Outcome:

The implementation model was adopted and implemented in the schools of Bihar and Headmasters were trained.

Aim 2.

Determine program effectiveness in increasing the implementation of tobacco control policies and in promoting tobacco use cessation in schools.

Approach:

To assess program effectiveness in improving tobacco policy implementation, increasing tobacco use cessation, and monitoring secular trends in tobacco control, we conducted two evaluation visits: one before and one after program implementation. These visits were complemented by surveys administered to headmasters and school personnel, as well as the use of standardized observation checklists within the schools.

Methodology:

For assessing the effectiveness of the intervention activities, 70 schools were randomly selected from a total of 219 schools in the intervention block, and 70 schools were randomly selected from 224 schools in the control blocks. This gave us a sample size of 429 teachers from intervention schools and 331 teachers from control schools. Surveys and observation checklists were standardized, using validated instruments designed to measure both the implementation of tobacco control policies and tobacco use cessation efforts. Baseline data was collected before the intervention to compare pre-and post-implementation outcomes.

Outcome:

The program was effective in increasing the implementation of tobacco control policies.

Aim 3.

Determine the feasibility of building the capacity of cluster coordinators to train and support principals in program implementation and maintenance in schools, and for the DoE to sustain the program.

Approach:

After analyzing post-maintenance data, a state-wide meeting was hosted with the Department of Education (DoE) to orient district officers in Bihar on implementing the program in their districts. Key informant interviews were conducted with DoE leadership to assess sustainability plans.

Methodology:

Over years 2-4, regular consultation meetings were held with DoE to review the implementation and maintenance of the TFT-TFS program in schools. Findings were used to refine the implementation model and develop a sustainability plan, which included: • Leadership support by aligning the program with DoE priorities. • Integration of training and technical assistance roles into DoE job descriptions and performance metrics. • Resource allocation, budgeting, and cost-effective production of program materials. • Monitoring and evaluation by using DoE's existing tracking systems to evaluate the program over time. Collaboration with DoE to ensure maintenance strategies and embed responsibilities into existing DoE roles.

Outcome:

A self-help guide for implementing the TFT-TFS program was developed and disseminated to 25,000 schools in Bihar. An assessment of dissemination in 12 blocks from 6 districts showed that 96% of headmasters received soft copies of the guide

Type of Study:

Intervention dissemination.

Study Participants:

Headmasters and school teachers.

Study Timeline:

January 2017- 31st December 2023

Collaborators:

Dana-Farber Cancer Institute & Harvard School of Public Health, USA
Centre for Health Decision Science, Harvard School of Public Health, USA.

Principal Investigators:

Dr. Prakash C. Gupta, Dr. Glorian Sorensen

Co-Investigators:

Dr. Mangesh S. Pednekar, Dr. Eve M. Nagler, Dr. K. Viswanath, Dr. Harry A. Lando, Dr. Jane Kim, Dr. Dhirendra N. Sinha

Publications:

1. Gupta, Prakash C., et al. "Upscaling a behavioural intervention program for tobacco use cessation–A randomised controlled study." Preventive Medicine Reports 36 (2023): 102476.

2. Gupta, Prakash. "Involving School Teachers in Tobacco Control: A Story from Bihar." India, Century Publications, 2023, pp. 47–53.

3. Nagler, Eve M., et al. "Implementation of an evidence-based tobacco control intervention for school teachers in India: Evaluating the effects of a capacity-building strategy." Implementation Research and Practice 4 (2023): 26334895231159428.

4. Nagler, E. M., et al. "Factors associated with successful tobacco use cessation among teachers in Bihar state, India: a mixed-method study." Health education research 35.1 (2020): 60-73.

5. Pednekar, M. S., et al. "Scaling up a tobacco control intervention in low resource settings: a case example for school teachers in India." Health Education Research 33.3 (2018): 218-231.

Dissemination:

The dissemination of a self-help guide for implementing the TFT-TFS intervention in Bihar and Maharashtra was published and released in regional languages during a press conference.

Current Status: July 2024- December 2024

Completed project: Data analysis and manuscript under preparation.

About the study:

This study investigates the relationship between carcinogen content in smokeless tobacco (SLT) products and relevant exposures as well as oral/head and neck cancer (OHNC) risk in users of these products, while concurrently building capacity for a sustainable tobacco carcinogenesis research program in India.

Type of study:

Laboratory Epidemiology

Timeline:

August 2017- July 2022

Collaborators:

Department of Otolaryngology, University of Minnesota, US
Masonic Cancer Center, US
Tata Memorial Hospital, India
Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Navi Mumbai, India

Principal Investigators:

Dr. Samir S. Khariwala, Dr. Irina Stepanov, Dr. Pankaj Chaturvedi

Co- Investigators:

Dr. Prakash C. Gupta, Dr. Vikram Gota, Dr. Dorothy Hatsukami, Dr. Saonli Basu

Publications:

Observed Circumvention of the Gutka Smokeless Tobacco Ban in Mumbai, India.

Study Participants:

Patients with oral head and neck cancer and healthy smokeless tobacco users.

Current Status:

As of September 2022
• The web portal has been designed and is currently under preparation -which will display all necessary project information on the Healis website.
• A smokeless tobacco review paper has been drafted and circulated with the full team for review.
• Continued storage of tobacco product samples obtained from recruited patients as well as smokeless products collected as a part of the repository.
• Paper under process titled “The urgent need for product regulation and public education to reign in the deadly toll of smokeless tobacco in India.”

About the study:

The study aims to measure the effectiveness of a worksite multi-component environmental intervention to reduce cardiometabolic risk in India and to evaluate the process outcomes. As an important way to translate CVD prevention efforts, worksite interventions can facilitate healthy food choices, health education, and social support.

Type of study:

Behavioural Qualitative Intervention

Timeline:

June 2019- March 2022

Collaborators:

Yale School of Public Health, USA
Durban University of Technology, South Africa

Principal Investigators:

Dr. Mangesh S. Pednekar, Dr. Donna Spiegelman

Co-Investigators:

Dr. Prakash C. Gupta, Dr. Ashika Naicker

Study Participants:

Permanent/Contractual worksite employees

Current Status:

As of September 2022
Following Intervention material finalized :
• Canteen and behavioural intervention (CB)
1. Diet and physical activity diary.
2. PowerPoint presentations of the intervention session.
3. Session handouts- pamphlets
4. Pre and Post survey
5. Session feedback forms.
6. Dietary inflammatory index (DII) questionnaire.

• Canteen intervention only (CO)
1. Posters.
2. Standardized tea recipe.
3. Healthy breakfast option list.
4. Traffic color-coded canteen breakfast menu
5. Calorie intake and minutes of brisk walking.
6. Sprout salad recipe (100 servings)

About the study:

The main objective of the study is to examine the perceived effectiveness of the text warning on areca nut products and compare them with mandated pictorial warning labels on smokeless tobacco products.

Type of study:

Cross-sectional Study

Timeline:

Jan 01, 2022 to Dec 31, 2022

Collaborators:

Indian Council of Medical Research (ICMR)

Principal Investigators:

Dr. Namrata Puntambekar

Co- Investigators:

Dr. Prakash C. Gupta, Dr. Mangesh S. Pednekar

Study Participants:

18 years and above (only participants from Mumbai city)

Current Status:

As of September 2022
Following work has been completed in the past six months:
• Required assets have been purchased for the project
• Preparation of the script for the survey
• Preparation of the consent form
• Preparation of the training manual for field investigators
• Preparation of the sampled areas to conduct the fieldwork and drew the boundaries
• Preparation of the household enumeration form for the survey.

About the study:

Epidemiological overview:

The vaccine hesitancy towards the COVID-19 vaccination is a global problem. A systematic review in 2021 reported that only approximately 50% to 60% of all respondents worldwide would be willing to receive a COVID-19 vaccine. Most estimates suggested that reaching a 60–70% threshold of vaccinated individuals was necessary for lifestyles to return to normal, through high-coverage vaccination drives. Therefore, it is vital to understand region-specific, knowledge, attitudes, beliefs, and potential barriers that affect the uptake of COVID-19 vaccination.

Context and Problem Statement:

The national statistics have reported that among the total Indian population, 74.44 % had received their 1st dose and only 30.46% had received both doses (COWIN-dashboard;18 -10-2021). Maharashtra which is the second largest populated state in the country has remained one of the worst affected states (COVID-19 dashboard, India) right from the beginning of the pandemic with the reasons being, high population density, mobility, international arrivals/departures, mass flouting of COVID-19 norms and the seasonal flu in some regions. Although, the state as of 18th October 2021 had achieved the second-highest coverage (First Dose: 6,36,14,931 (74.82 %); Second dose: 2,84,44,097 (33.53 %) (COWIN-dashboard; 18-10-2021) of vaccination, it is inadequate to achieve herd immunity considering the large population. Therefore, understanding the hesitancy factors towards vaccination was essential to formulate effective strategies to achieve full vaccine coverage in the state and to inform the planning of vaccination drives for future pandemics.

Aim:

The study aims to understand the factors contributing to vaccine hesitancy regarding COVID-19 vaccination among the adult population of Maharashtra

Specific Study Objectives:

To study the knowledge, attitude, beliefs and factors related to COVID-19 vaccination hesitancy among adults of 18 years and above across Maharashtra.

Approach:

We used a cross-sectional online data collection approach and collected the relevant data from participants across the state of Maharashtra.

Research Question:

The study answered the research question; What are the vaccine hesitancy factors for COVID-19 vaccination among the adult population in Maharashtra?

Methodology:

A survey tool was developed containing questions related to demographic background, perceptions, beliefs, attitudes, and factors related to vaccine hesitancy towards COVID-19 vaccination. Further, we developed an online data collection program using Redcap software. We used a snowball-probability sampling method to recruit the study sample, wherein the Healis team used WhatsApp, Facebook, LinkedIn, Instagram, the Healis website, and email to advertise and circulate the survey link to their network members. Furthermore, these network members helped in the distribution of the survey invitation to all their contacts throughout Maharashtra. The survey link remained active for 3 months (March to June 2024) for data collection. All the collected data has been securely stored on the online server at Healis and is been utilized for subsequent analyses.

Expected Outcomes:

With the study results, we were able to understand the beliefs/hesitancy factors towards the COVID-19 vaccination of the targeted study population.

Type of Study:

Epidemiological Analytic – Cross-Sectional study design

Study Participants:

Adults of 18 years and above, who agreed to voluntarily participate in the online data collection were included.

Collaborators:

The project is funded by Healis Sekhsaria Institute for Public Health (In-house)

Principal Investigators:

Dr. Khushbu Sharma

Co- Investigators:

: Dr. Mangesh. S. Pednekar, Dr. Prakash C. Gupta, Dr. Rupesh Mahajan, Mr. Sameer Narake

Current Status: (July 2024- Dec 2024)

Ongoing data analysis