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Chen X, Li J, Liu J, Liu X, Deng M, Dong X, Yang Y. The association of sun-cured tobacco and cigarette use with global cognitive function, verbal fluency and memory in patients with chronic obstructive pulmonary disease: A cross-sectional study. Tob Induc Dis 2024; 22:TID-22-09. [PMID: 38229665 PMCID: PMC10789182 DOI: 10.18332/tid/175973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 01/18/2024] Open
Abstract
INTRODUCTION Some elderly people in China prefer sun-cured tobacco to cigarettes, and the composition of sun-cured tobacco and cigarettes is inconsistent. The influence of cigarettes on the cognitive function of COPD patients has been widely reported, but the research on sun-cured tobacco is relatively rare. Our study explored the association of sun-cured tobacco and cigarette use with cognitive decline in COPD patients. METHODS This was a cross-sectional study. A total of 401 COPD patients were included, and 190, 103, and 108 participants were included in non-smoking, cigarette-smoking, and sun-cured tobacco groups, respectively. We evaluated the global cognitive function using the Beijing version of the Montreal Cognitive Assessment, verbal fluency function using an animal fluency test, and memory function using ten unrelated words. RESULTS The participants of both cigarette-smoking (AOR=11.18; 95% CI: 1.28- 97.5) and sun-cured tobacco (AOR=10.46; 95% CI: 1.14-96.4) groups were more likely to develop mild cognitive impairment compared to the non-smoking group. The mean z scores of global cognitive function, verbal fluency, and memory were lower in cigarette-smoking and sun-cured tobacco groups than those in a non-smoking group; Multivariable linear regression showed that global cognitive function (β= -0.61; 95% CI: -1.04 - -0.18; and β= -0.48; 95% CI: -0.91 - -0.05) and verbal fluency (β= -0.79; 95% CI: -1.33 - -0.26; and β= -0.69; 95% CI: -1.23 - -0.16) of the sun-cured tobacco group and the cigarette-smoking group were significantly lower than those of the non-smoking group when adjusting for demographic and disease-related characteristics. However, there was no significant difference between the cigarette-smoking and sun-cured tobacco groups in global cognitive function, verbal fluency, and memory. CONCLUSIONS Compared with non-smokers, the use of cigarettes and sun-cured tobacco may damage the cognitive function of COPD patients, especially in global cognitive function and verbal fluency.
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Affiliation(s)
- Xiaomei Chen
- School of Nursing, Army Medical University, Chongqing, China
| | - Jie Li
- Department of Medicine, Qionglai Medical Center Hospital, Chengdu, China
| | - Jia Liu
- School of Nursing, Army Medical University, Chongqing, China
| | - Xiao Liu
- School of Nursing, Army Medical University, Chongqing, China
| | - Menghui Deng
- School of Nursing, Army Medical University, Chongqing, China
| | - Xunhu Dong
- Department of Chemical Defense Medicine, School of Military Preventive Medicine, Army Medical University, Chongqing, China
| | - Yanni Yang
- School of Nursing, Army Medical University, Chongqing, China
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Li F, Yan Y, Zheng L, Wang C, Guan X, Hong S, Guo H. Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study. BMC Geriatr 2023; 23:79. [PMID: 36747124 PMCID: PMC9900934 DOI: 10.1186/s12877-023-03761-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 01/19/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Frailty describes an age-related state of deterioration in biological function. This study aimed to investigate the association between frailty and cognitive function and its combined effects with lifestyles. METHODS A total of 3,279 participants from the Dongfeng-Tongji (DFTJ) cohort were tested the cognitive function by using the Chinese version of Mini-mental State Examination (MMSE). Frailty was evaluated based on a 35-item frailty index (FI). Frailty status was dichotomized into robust (FI < 0.15) and frail (FI ≥ 0.15). Multivariate generalized linear regression models and logistic regression models were used to estimate the associations of frailty with MMSE score and cognitive impairment. We also analysed the modification and combined effects of lifestyle factors, including smoking status, drinking status, and regular physical exercise, on the above associations. RESULTS FI was significantly associated with lower MMSE score [β (95%Cl) = -0.28 (-0.43, -0.13)] and cognitive impairment [OR (95%Cl) = 1.19 (1.04, 1.35)]. The association of frailty status with MMSE were found to be stronger among ever smokers [β(95%Cl) = -1.08 (-1.64, -0.51)] and physical inactive individuals [β(95%Cl) = -1.59 (-2.63, -0.54)] while weaker or not significant among never smokers [β(95%Cl) = -0.30 (-0.62, 0.01)] and physical active individuals [β(95%Cl) = -0.37 (-0.65, -0.08))]. There were significant combined effects of frailty status with unhealthy lifestyles including smoking, alcohol drinking, and physical inactive on cognitive impairment. CONCLUSIONS Frailty was associated with cognitive impairment among Chinese middle-aged and elderly people, while smoking cessation and regular physical exercise could attenuate the above associations, which highlight the potential preventive interventions.
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Affiliation(s)
- Fangqing Li
- grid.33199.310000 0004 0368 7223Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030 Hubei China
| | - Yike Yan
- grid.33199.310000 0004 0368 7223Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030 Hubei China
| | - Lei Zheng
- grid.33199.310000 0004 0368 7223Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030 Hubei China
| | - Chenming Wang
- grid.33199.310000 0004 0368 7223Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030 Hubei China
| | - Xin Guan
- grid.33199.310000 0004 0368 7223Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030 Hubei China
| | - Shiru Hong
- grid.33199.310000 0004 0368 7223Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030 Hubei China
| | - Huan Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
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Li M, Ma Y, Fu Y, Liu J, Hu H, Zhao Y, Huang L, Tan L. Association between air pollution and
CSF sTREM2
in cognitively normal older adults: The
CABLE
study. Ann Clin Transl Neurol 2022; 9:1752-1763. [PMID: 36317226 PMCID: PMC9639632 DOI: 10.1002/acn3.51671] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 09/04/2022] [Accepted: 09/16/2022] [Indexed: 11/06/2022] Open
Abstract
Objectives Ambient air pollution aggravates the process of Alzheimer's disease (AD) pathology. Currently, the exact inflammatory mechanisms underlying these links from clinical research remain largely unclear. Methods This study included 1,131 cognitively intact individuals from the Chinese Alzheimer's Biomarker and LifestylE database with data provided on cerebrospinal fluid (CSF) AD biomarkers (amyloid beta‐peptide 42 [Aβ42], total tau [t‐tau], and phosphorylated tau [p‐tau]), neuroinflammatory (CSF sTREM2), and systemic inflammatory markers (high sensitivity C‐reactive protein and peripheral immune cells). The 2‐year averaged levels of ambient fine particulate matter with diameter <2.5 μm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) were estimated at each participant's residence. Multiple‐adjusted models were approached to detect associations of air pollution with inflammatory markers and AD‐related proteins. Results Ambient 2‐year averaged exposure of PM2.5 was associated with changes of neuroinflammatory markers, that is, CSF sTREM2 (β = −0.116, p = 0.0002). Similar results were found for O3 exposure among the elderly (β = −0.111, p = 0.0280) or urban population (β = −0.090, p = 0.0144). No significant evidence supported NO2 related to CSF sTREM2. For potentially causal associations with accumulated AD pathologies, the total effects of PM2.5 on CSF amyloid‐related protein (CSF Aβ42 and p‐tau/Aβ42) were partly mediated by CSF sTREM2, with proportions of 14.22% and 47.15%, respectively. Additional analyses found inverse associations between peripheral inflammatory markers with PM2.5 and NO2, but a positive correlation with O3. Interpretation These findings demonstrated a strong link between PM2.5 exposure and microglial dysfunction. Furthermore, CSF sTREM2 as a key mediator modulated the influences of PM2.5 exposure on AD amyloid pathologies.
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Affiliation(s)
- Meng Li
- Department of Neurology Qingdao Municipal Hospital, Qingdao University Qingdao China
| | - Ya‐Hui Ma
- Department of Neurology Qingdao Municipal Hospital, Qingdao University Qingdao China
| | - Yan Fu
- Department of Neurology Qingdao Municipal Hospital, Qingdao University Qingdao China
| | - Jia‐Yao Liu
- Department of Neurology Qingdao Municipal Hospital, Qingdao University Qingdao China
| | - He‐Ying Hu
- Department of Neurology Qingdao Municipal Hospital, Qingdao University Qingdao China
| | - Yong‐Li Zhao
- Department of Neurology Qingdao Municipal Hospital, Qingdao University Qingdao China
| | - Liang‐Yu Huang
- Department of Neurology Qingdao Municipal Hospital, Qingdao University Qingdao China
| | - Lan Tan
- Department of Neurology Qingdao Municipal Hospital, Qingdao University Qingdao China
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