Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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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."
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http://dx.doi.org/10.1093/ntr/ntad117 | DOI Listing |