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

被引:2
|
作者
Singh, Lucky [1 ]
Chandra, Rishita [2 ]
Pai, Manacy [3 ]
Singh, Arpit [2 ]
Mazumdar, Sumit [4 ]
Singh Balhara, Yatan Pal [5 ,6 ]
Singh, Prashant Kumar [2 ,8 ]
Singh, Shalini [2 ,7 ]
机构
[1] ICMR Natl Inst Med Stat, New Delhi, India
[2] ICMR Natl Inst Canc Prevent & Res, Div Prevent Oncol & Populat Hlth, WHO FCTC Knowledge Hub Smokeless Tobacco, Noida, Uttar Pradesh, India
[3] Kent State Univ, Dept Sociol, Kent, OH USA
[4] Univ York, Ctr Hlth Econ, York, England
[5] All India Inst Med Sci, Natl Drug Dependence Treatment Ctr, New Delhi, India
[6] All India Inst Med Sci, Dept Psychiat, New Delhi, India
[7] ICMR Natl Inst Canc Prevent & Res, Noida, Uttar Pradesh, India
[8] ICMR Natl Inst Canc Prevent & Res, Div Prevent Oncol & Populat Hlth, WHO FCTC Knowledge Hub Smokeless Tobacco, Noida, Uttar Pradesh, India
关键词
ALCOHOL-CONSUMPTION; SMOKING; RISK; IMPAIRMENT; PREVALENCE; DEMENTIA; DECLINE; DISEASE; AGE; COUNTRIES;
D O I
10.1093/ntr/ntad117
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
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."
引用
收藏
页码:342 / 352
页数:11
相关论文
共 50 条
  • [1] Does internet use affect levels of depression among older adults in China? A propensity score matching approach
    Wang, Yean
    Zhang, Huan
    Feng, Tong
    Wang, Hongyang
    [J]. BMC PUBLIC HEALTH, 2019, 19 (01)
  • [2] Does internet use affect levels of depression among older adults in China? A propensity score matching approach
    Yean Wang
    Huan Zhang
    Tong Feng
    Hongyang Wang
    [J]. BMC Public Health, 19
  • [3] Characteristics of lung metastasis in testicular cancer: A large-scale population analysis based on propensity score matching
    Guo, Aiyuan
    Gu, Jie
    Yang, Jiayi
    [J]. FRONTIERS IN SURGERY, 2022, 9
  • [4] Does hospitalisation impact the successful ageing of community-dwelling older adults?: A propensity score matching analysis using the Korean national survey data
    Lee, Ji Yeon
    Kim, Bora
    Lee, Kyung Hee
    Park, Chang Gi
    [J]. INTERNATIONAL JOURNAL OF OLDER PEOPLE NURSING, 2022, 17 (01)
  • [5] How Does Large-Scale Assessments Affect Mother Tongue Lessons?
    Uyanik, Guelden K.
    Tolaman, Tugba D.
    Kirtel, Aysegul
    [J]. PEGEM EGITIM VE OGRETIM DERGISI, 2024, 14 (01): : 11 - 19
  • [6] COMPUTERIZED COGNITIVE ASSESSMENT IN LARGE-SCALE SURVEY RESEARCH WITH OLDER ADULTS
    不详
    [J]. GERONTOLOGIST, 2016, 56 : 451 - 451
  • [7] DENTURE USE AND COGNITIVE DECLINE IN CHINESE OLDER ADULTS: A PROPENSITY SCORE ANALYSIS
    Wu, Bei
    Qi, Xiang
    [J]. INNOVATION IN AGING, 2021, 5 : 31 - 31
  • [8] Does energy efficiency affect appliance prices? Empirical analysis of air conditioners in China based on propensity score matching
    Zhang, Yixiang
    Li, Juan
    Tao, Wenwen
    [J]. ENERGY ECONOMICS, 2021, 101
  • [9] The relationship between multimorbidity and cognitive function in older Chinese adults: based on propensity score matching
    Zhang, Yumeng
    Yuan, Xiaoli
    Jiang, Zhixia
    Hu, Rujun
    Liang, Heting
    Mao, Qingyun
    Xiong, Yan
    Zhang, Jiabi
    Liu, Mi
    [J]. FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [10] Residual bias and indirect covariate balance in an applied comparison of large-scale propensity score and cardinality matching
    Fortin, Stephen
    Johnston, Stephen
    Schuemie, Martijn
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2021, 30 : 100 - 100