One size doesn't fit all: contouring and addressing social vitals in reversing tobacco epidemic in Punjab, India

Nudging oral habits; application of behavioral economics in oral health promotion: a critical review

Background

Oral health disorders significantly contribute to the global incidence of chronic diseases. Nudge interventions have demonstrated effectiveness in enhancing people's decision-making and self-management capacities in a cost-efficient manner. As a result, these interventions could be valuable tools for fostering improved oral care habits. This critical review explores potential behavioral nudges applicable to promoting oral health.

Methods

A thorough electronic literature search was conducted on Scopus, Embase, and PubMed databases for papers published post-2008. The search focused on empirical evidence concerning the direct and indirect application of Nudge theory in oral health enhancement. In addition, the investigation included the nudge intervention's role in managing common non-communicable disease risk factors (tobacco, alcohol, and sugar) and their use in other health sectors.

Results and conclusion

There is a dearth of studies on behavioral economics, particularly those involving reward and reminder techniques. However, various successful nudge interventions have been identified in other sectors that aim to improve health decisions. These include strategies encouraging healthier nutritional choices, tobacco and alcohol cessation, medication compliance, routine physical activity, and regular health check-ups. Such interventions can also have direct or indirect positive impacts on oral health. Implementing these interventions within an oral care framework could promote oral health due to similar underlying cognitive mechanisms. However, different types of nudge interventions have varying degrees of effectiveness. Furthermore, factors such as the method of delivery and the characteristics of the targeted population significantly influence the outcome of the intervention. Hence, it is imperative to conduct extensive studies in diverse socioeconomic settings to fully understand the potentials, limitations, and impacts of nudge interventions in promoting oral health.

Social Determinants and the Prevalence of Paan Masala Use among Adults in India: Results from Global Adult Tobacco Survey, 2016-17

BACKGROUND

Gutkha or Paan masala with tobacco is commonly used smokeless tobacco product in India. Given the restrictions on advertisement and promotion of Gutkha and the necessity of warning labels on tobacco products, the tobacco industry has popularised paan masala without tobacco as a surrogate product. Paan masala itself is harmful for health but remains beyond scope of current tobacco control policies. It was important to understand prevalence and determinants of its use (with or without tobacco).

METHODS

Data from the Global Adult Tobacco Survey (GATS)-2, India was used to estimate prevalence of paan masala use (with or without tobacco) in India. Multi-nominal regression and logistic regression were used to calculate risk ratios and odds ratios.

RESULTS

The prevalence of any form of paan masala was 12.1% among adults in India. Prevalence was higher among males (17.8%) than females (6.0%), aged 25-44 years (14.5%) than those aged 65 years or above (9.0%). Relative risk ratio (RRR) for Paan masala with tobacco was significantly high among those with no formal schooling (RRR:2.00) and among those in poorest wealth quintiles (RRR:1.26). While, RRR were lower for Paan masala use without tobacco among those with no formal schooling (RRR:0.95) and among poorest wealth quintiles (RRR:0.78). Region-wise AOR were highest for North-East (AOR:4.80) and Central regions (AOR:4.76) compared to South India.

CONCLUSION

The prevalence of paan masala use is high in India. Persons belonging to lower socioeconomic status or having no formal schooling have higher risk of consuming paan masala with tobacco. However, persons from higher wealth quintiles or having formal schooling had higher risk of use of paan masala without tobacco. These findings need careful attention of policy makers and law enforcers as it indicates different marketing strategies might have adopted by industry to target these two mutually exclusive population groups.

Evaluating the impact of culturally specific patient-centric behavioral intervention package versus usual care for tobacco cessation among patients attending noncommunicable disease clinics in North India: A single-blind trial pilot study protocol

Background

In a low and middle-income country (LMIC) like India, non—communicable diseases (NCDs) contribute a major proportion (61.8%) of all causes of death. Out of this, 48% of cardiovascular diseases , 23% of Chronic Respiratory Diseases , and 10% of Cancer deaths are attributable to tobacco use. Tobacco use is a major risk factor for NCDs and thus, the tobacco cessation approach is a high priority intervention to combat complications and death among NCD patients. While several interventions are available for tobacco cessation, in resource constraint countries like India, the effectiveness of low-cost, culturally specific patient-centric tobacco cessation behavioral intervention holds a potential that needs to be evaluated. A newly developed evidence-based tobacco cessation intervention package will be compared with the existing/usual care provided under the National Programme for Prevention and Control of Cancers, Diabetes, Cardiovascular Diseases, and Stroke (NPCDCS) at NCD clinics.

Methods and design

2 arm, parallel-group randomized controlled trial.

Participants

Patients aged ≥30 years suffering from NCD, currently using tobacco, and attending NCD clinics in 2 districts of Punjab, India.

Sample size

A total of 200 participants meeting the selection criteria will be recruited. They will be allocated either to the intervention arm or control (usual care) arm (100 each) using block randomization.

Intervention

For the participants, there will be 4 face-to-face disease-specific cessation counseling sessions, disease-specific pamphlets, short text messages in vernacular language, that is, Punjabi. Follow-ups will be done at the third, sixth, ninth, and 12th months.

Primary outcome

Seven-day abstinence, biochemically verified by plasma cotinine levels.

Secondary outcome

Quit attempts, number of sticks/number of times of smokeless tobacco usage in a day, and stage of behavior change in tobacco users.

Discussion

This multicomponent culturally specific-patient-centric behavioral intervention package for tobacco cessation at NCD clinic settings focusing on the individual, family, and social environment could increase the outreach of cessation services using existing resources, thereby strengthening health systems and enhancing the quality of life of NCD patients.

Trial registration

The protocol for the study has been registered with the Clinical Trials Registry in India under the registration number CTRI/2018/01/011643.

District-level epidemiology, hot spots and sociodemographic determinants of tobacco use in Indian men and women: analysis of national family health survey-4 (2015-16)

OBJECTIVES

To map district-level tobacco hot spots and understand the Sociodemographic Indices (SDI) influencing tobacco consumption in Indian men and women.

STUDY DESIGN

Cross-sectional study.

METHODS

Tobacco use data from 640 districts of India were extracted from National Family Health Survey-4, carried out from 2015 to 2016 with a sample size of 103,411 men and 699,686 women. Geographic Information System was used to map the tobacco prevalence, and hot spots were identified by spatial statistics (Getis-OrdGi∗). SDI were studied by bivariate analyses and binary logistic regression.

RESULTS

India has two major tobacco hot spots; one comprising the districts of North-Eastern states, excluding Sikkim, and the second cluster is formed by the districts of Central-Eastern states. These hot spots coincide well with demographic determinants: North-East (adjusted odds ratio [aOR] men, 5.74; aOR women, 13.54) and Central India (aOR men, 4.5; aOR women, 3.5) have higher odds of Tobacco consumption. In men, respondents with no education (aOR 2.52; 95% confidence interval [CI]: 2.26-2.81) and Muslims (aOR 3.53; 95% CI: 2.93-4.26) have higher odds of tobacco consumption. The poorest (men aOR, 2.06; 95% CI: 1.87-2.27; women aOR, 3.36: 95% CI: 2.69-4.19) and ST women (aOR 1.89; 95% CI: 1.68-2.13) have higher odds of tobacco consumption.

CONCLUSIONS

We have identified tobacco hot spots and detailed the SDI affecting tobacco use separately in men and women to guide public health policies for targeted intervention of tobacco consumption.