How Does Tobacco Use Affect the Cognition of Older Adults? A Propensity Score Matching Analysis Based on a Large-Scale Survey.

INTRODUCTION: Tobacco is a well-established risk factor for cancer, but its association with other morbidities needs consideration. The low-income and middle-income countries (LMICs) with unprecedented demographic transformation lack evidence on tobacco use and its impact on cognitive health. AIMS AND METHODS: Using a propensity score matching approach, we utilized data from the Longitudinal Ageing Study of India. Study employed 1:1 nearest neighbor matching with the replacement methodology. We estimated the odds of the poor cognitive score and tobacco use among older adults based on five different models for ever tobacco user, former tobacco user, current tobacco user, current smokers, and current smokeless tobacco users with reference to never tobacco users. RESULTS: The estimated average treatment effect for the treated and the untreated group has shown a higher likelihood of cognitive decline among ever (OR -0.26; 95%CI -0.43 to -0.09), current (OR -0.28; 95%CI -0.45 to -0.10), and former (OR -0.53; 95%CI -0.87 to -0.19) tobacco users compared to never tobacco users. The finding further suggests the odds of lower cognitive scores among older adults who were smokers (OR -0.53; 95%CI -0.87 to -0.19) and smokeless tobacco users (OR -0.22; 95%CI -0.43 to -0.01) as compared to never tobacco users. CONCLUSIONS: Interventions designed to prevent the incidence of cognitive impairment should focus on limiting the use of tobacco. Strategies under the tobacco-free generation initiative should be amplified in order to prevent future generations from productivity loss, premature ageing and to promote healthy aging. IMPLICATIONS: Evidence of a definitive association between tobacco consumption and cognition among older adults is sporadic in LMICs. Though tobacco is a risk factor for various diseases including cancer, the extent of its impact on cognitive health among the older population is limited. This study contributes to the existing literature by highlighting poor cognitive outcomes among older adults who smoke tobacco and/or consume smokeless tobacco as compared to never-tobacco users. Our findings emphasize the need to accelerate programmes related to tobacco-free generation in LMICs to reach a higher quality of life and healthy aging in pursuit of achieving the sustainable development goal of "good health and well-being."

Determinants of initiation, continuation and cessation of smokeless tobacco use among pregnant and lactating women: a qualitative study from low-income communities in urban India.

Smokeless tobacco (SLT) consumption increases the risk of cardiovascular diseases and cancer and leads to adverse reproductive health outcomes among women and newborns. This study examines the factors associated with initiation, continuation and cessation of SLT use among women in the reproductive age so as to formulate and include prevention and cessation interventions from its inception. The study was conducted in urban low-income communities in India. Using snowball and purposive sampling techniques, in-depth interviews were conducted with 20 pregnant and 22 lactating women who currently used SLT products. Data were analysed using thematic analysis with the help of QSR NVivo software. Findings revealed that factors such as people influencing usage change with different life stages including pre-marital and post-marital periods. Perceived health benefits, altered taste preferences during pregnancy and social influences were also studied. Women were found to be more aware of the harmful effects of tobacco during pregnancy than during breastfeeding. Social stigma around women consuming tobacco acted as a major driving factor for cessation. Most of the participants were willing to quit but were not aware of any technique or programme for cessation. The findings of the study highlight the need to develop behavioural change intervention tools, which are culturally and locally appropriate and have a gender-sensitive approach. Different socio-cultural factors associated with initiation/cessation at different life stages should also be taken into consideration while developing these tools.