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Baby B, McKinnon A, Patterson K, Patel H, Sharma R, Carter C, Griffin R, Burns C, Chang F, Guilcher SJ, Lee L, Fadaleh SA, Patel T. Tools to measure barriers to medication management capacity in older adults: a scoping review. BMC Geriatr 2024; 24:285. [PMID: 38532328 PMCID: PMC10967066 DOI: 10.1186/s12877-024-04893-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 03/13/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND Medication management capacity is a crucial component of medication adherence, particularly among older adults. Various factors, including physical abilities, cognitive functions, sensory capabilities, motivational, and environmental factors, influence older adults' ability to manage medications. It is, therefore, crucial to identify appropriate tools that allow clinicians to determine which factors may impact medication management capacity and, consequently, nonadherence to medications. PURPOSE 1)To identify tools that measure physical, cognitive, sensory (vision, hearing, touch), motivational, and environmental barriers to medication self-management in older adults, and 2) to understand the extent to which these tools assess various barriers. METHODS The scoping review was conducted using Arksey and O'Malley's scoping review framework and the PRISMA Extension for Scoping Reviews checklist. In June 2022, the relevant literature was identified by searching PubMed (MEDLINE), Ovid Embase, Ovid IPA, EBSCOhost CINAHL, APA PsycINFO, and Scopus. RESULTS AND DISCUSSION In total, 7235 studies were identified. Following the removal of duplicates, 4607 articles were screened by title and abstract, of which 4253 did not meet the inclusion criteria. Three reviewers reviewed the full texts of the remaining 354 articles; among them, 41 articles, 4 theses and 1 conference abstract met the inclusion criteria. From the included studies, 44 tools were identified that measured a combination of physical, cognitive, sensory, motivational, and environmental barriers (n=19) or only cognition (n=13), vision (n=5), environmental factors (n=3), auditory (n=1), and motivational factors (n=1). The review also examined the psychometric properties of the identified tools and found that most of them had reported validity and reliability data. Several tools have demonstrated promise in assessing a combination of barriers with validity and reliability. These tools include the Self-Medication Assessment Tool (SMAT), ManageMed Screening (MMS), Self-Medication Risk Assessment Tool (RAT), HOME-Rx revised, and Medication Management Ability Assessment (MMAA). CONCLUSION This scoping review identified 44 validated tools to measure various challenges that older adults encounter with medication management. However, no tool measures all five barriers (physical, cognitive, sensory, motivational, and environmental) to medication-taking at home. Therefore, utilizing a combination of tools would be most appropriate to measure these different aspects comprehensively. Further research is needed to develop a new comprehensive tool that simultaneously measures various barriers to medication self-management.
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Affiliation(s)
- Bincy Baby
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | | | | | - Hawa Patel
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | - Rishabh Sharma
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | - Caitlin Carter
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | - Ryan Griffin
- National Research Council Canada, Ottawa, ON, Canada
| | - Catherine Burns
- Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada
| | - Feng Chang
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | - Sara Jt Guilcher
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Linda Lee
- Department of Family Medicine, McMaster University, Hamilton, Canada
| | - Sara Abu Fadaleh
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | - Tejal Patel
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada.
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Parker JL, Appleton SL, Adams RJ, Melaku YA, D'Rozario AL, Wittert GA, Martin SA, Catcheside PG, Lechat B, Teare AJ, Toson B, Vakulin A. The association between sleep spindles and cognitive function in middle-aged and older men from a community-based cohort study. Sleep Health 2023; 9:774-785. [PMID: 37268483 DOI: 10.1016/j.sleh.2023.03.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 06/04/2023]
Abstract
OBJECTIVES Previous studies examining associations between sleep spindles and cognitive function attempted to account for obstructive sleep apnea without consideration for potential moderating effects. To elucidate associations between sleep spindles, cognitive function, and obstructive sleep apnea, this study of community-dwelling men examined cross-sectional associations between sleep spindle metrics and daytime cognitive function outcomes following adjustment for obstructive sleep apnea and potential obstructive sleep apnea moderating effects. METHODS Florey Adelaide Male Ageing Study participants (n = 477, 41-87 years) reporting no previous obstructive sleep apnea diagnosis underwent home-based polysomnography (2010-2011). Cognitive testing (2007-2010) included the inspection time task (processing speed), trail-making tests A (TMT-A) (visual attention) and B (trail-making test-B) (executive function), and Fuld object memory evaluation (episodic memory). Frontal spindle metrics (F4-M1) included occurrence (count), average frequency (Hz), amplitude (µV), and overall (11-16 Hz), slow (11-13 Hz), and fast (13-16 Hz) spindle density (number/minute during N2 and N3 sleep). RESULTS In fully adjusted linear regression models, lower N2 sleep spindle occurrence was associated with longer inspection times (milliseconds) (B = -0.43, 95% confidence interval [-0.74, -0.12], p = .006), whereas higher N3 sleep fast spindle density was associated with worse TMT-B performance (seconds) (B = 18.4, 95% confidence interval [1.62, 35.2], p = .032). Effect moderator analysis revealed that in men with severe obstructive sleep apnea (apnea-hypopnea index ≥30/hour), slower N2 sleep spindle frequency was associated with worse TMT-A performance (χ2 = 12.5, p = .006). CONCLUSIONS Specific sleep spindle metrics were associated with cognitive function, and obstructive sleep apnea severity moderated these associations. These observations support the utility of sleep spindles as useful cognitive function markers in obstructive sleep apnea, which warrants further longitudinal investigation.
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Affiliation(s)
- Jesse L Parker
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.
| | - Sarah L Appleton
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.
| | - Robert J Adams
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia; Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia.
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.
| | - Angela L D'Rozario
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia; The University of Sydney, Faculty of Science, School of Psychology, Sydney, New South Wales, Australia.
| | - Gary A Wittert
- Australian Institute of Family Studies, Melbourne, Victoria, Australia; Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
| | - Sean A Martin
- Australian Institute of Family Studies, Melbourne, Victoria, Australia; Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
| | - Peter G Catcheside
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.
| | - Bastien Lechat
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.
| | - Alison J Teare
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.
| | - Barbara Toson
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.
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3
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Wang S, Xue Y, Zhang J, Meng H, Zhang J, Li X, Zhang Z, Li H, Pan B, Lu X, Zhang Q, Niu Q. Interaction between aluminum exposure and ApoEε4 gene on cognitive function of in-service workers. CHEMOSPHERE 2023; 323:138282. [PMID: 36868418 DOI: 10.1016/j.chemosphere.2023.138282] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/28/2023] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
The occurrence and development of cognitive impairment, the early stage of AD, may be affected both by factors of environmental (aluminum exposure) and genetic (ApoEε4 gene). But whether there is an interaction between the two factors on cognitive function is still unknown. To explore the interaction between the two factors on cognitive function of in-service workers. A total of 1121 in-service workers in a large aluminum factory were investigated in Shanxi Province. Cognitive function was assessed by the Mini-mental State Examination (MMSE), the clock-drawing test (CDT), the Digit Span Test (DST, including DSFT and DSBT), the fuld object memory evaluation (FOM), and the verbal fluency task (VFT). The plasma-Al (p-Al) concentrations were measured by inductively coupled plasma-mass spectrometry (ICP-MS) as an internal exposure indicator, and the participants were divided into four Al exposure groups according to the quartile of p-Al concentrations, namely Q1, Q2, Q3, and Q4. ApoE genotype was determined by Ligase Detection Reaction (LDR). The multiplicative model was fitted using non-conditional logistic regression and additive model was fitted using crossover analysis to analyze the interaction between p-Al concentrations and the ApoEε4 gene. Finally, a dose-response relationship between p-Al concentrations and cognitive impairment was observed, with the p-Al concentrations increased, cognitive function performance gradually becomes worse (Ptrend<0.05), and the risk of cognitive impairment gradually increases (Ptrend<0.05), mainly in executive/visuospatial impairment, auditory memory impairment (particularly the working memory impairment). And ApoEε4 gene may be a risk factor for cognitive impairment, while no association between the ApoEε2 gene and cognitive impairment is observed. Additionally, an additive but no multiplicative interaction between p-Al concentrations and ApoEε4 gene is observed, and when the two factors work together, the risk of cognitive impairment further increased, of which 44.2% can be attributed to the interaction effect.
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Affiliation(s)
- Shanshan Wang
- Section of Occupational Medicine, Department of Special Medicine, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Yingjun Xue
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Jintao Zhang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Huaxing Meng
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China; Department of Neurology, First Hospital, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Jingsi Zhang
- Section of Occupational Medicine, Department of Special Medicine, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Xiaoyan Li
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Zhuoran Zhang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Huan Li
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China; Department of Occupational Health, School of Public Health, Jining Medical University, Jining, Shandong, 272000, China
| | - Baolong Pan
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China; Sixth Hospital of Shanxi Medical University (General Hospital of Tisco), Taiyuan, Shanxi, 030001, China
| | - Xiaoting Lu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China; Key Lab of Environmental Hazards and Health Damage of Shanxi Province, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Qinli Zhang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China; Key Lab of Environmental Hazards and Health Damage of Shanxi Province, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Qiao Niu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China; Key Lab of Environmental Hazards and Health Damage of Shanxi Province, Shanxi Medical University, Taiyuan, Shanxi, 030001, China.
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Zhang Y, Huan J, Gao D, Xu S, Han X, Song J, Wang L, Zhang H, Niu Q, Lu X. Blood pressure mediated the effects of cognitive function impairment related to aluminum exposure in Chinese aluminum smelting workers. Neurotoxicology 2022; 91:269-281. [PMID: 35654245 DOI: 10.1016/j.neuro.2022.05.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 05/20/2022] [Accepted: 05/23/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVES The aim of this study is to investigate the effects that the Al on blood pressure and the effect of hypertension in aluminum-induced cognitive impairment in electrolytic aluminum worker. METHODS The study was conducted 392 male aluminum electrolytic workers in an aluminum plant of China. The concentration of alumina dust in the air of the electrolytic aluminum workshop is 1.07mg/m3-2.13mg/m3. According to the Permissible concentration-Time Weighted Average of alumina dust is 4mg/ m3, which does not exceed the standard. The blood pressure of the workers was measured. The plasma aluminum concentration of workers was determined by ICP-MS (Inductively Coupled Plasma Mass Spectrometry). Cognitive functions were measured using MMSE (Mini-Mental State Examination), VFT (Verbal Fluency Test), ATIME (Average Reaction Time), FOM (Fuld Object Memory Evaluation), DST (Digit Span Test), CDT (Clock Drawing Test) scales. Modified Poisson regression was used to analyze the risk of hypertension and cognitive impairment with different plasma aluminum concentrations. Generalized linear regression model was used to analyze the relationship between aluminum and cognitive function, blood pressure and cognitive function. Causal Mediation Analysis was used to analyze the mediation effect of blood press in aluminum-induced cognitive impairment. RESULTS Plasma aluminum appeared to be a risk factor for hypertension (PR (prevalence ratio) = 1.630, 95%-CI (confidence interval): 1.103 to 2.407), systolic blood pressure (PR = 1.578, 95%-CI: 1.038 to 2.399) and diastolic blood pressure (PR = 1.842, 95%-CI: 1.153 to 2.944). And plasma aluminum increased by e-fold, the scores of MMSE and VFT decreased by 0.630 and 2.231 units respectively and the time of ATIME increased by 0.029 units. In addition, generalized linear regression model showed that blood press was negatively correlated with the scores of MMSE and VFT. Finally, causal Mediation Analysis showed that hypertension was a part of the mediating factors of aluminum-induced decline in MMSE score, and the mediating effects was 16.300% (7.100%, 33.200%). In addition, hypertension was a part of the mediating factors of aluminum-induced decline in VFT score, and the mediating effects was 9.400% (2.600%, 29.000%) CONCLUSION: Occupational aluminum exposure increases the risk of hypertension and cognitive impairment. And hypertension may be a mediating factor of cognitive impairment caused by aluminum exposure.
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Affiliation(s)
- Yunwei Zhang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China; Center for Disease Control and Prevention, Linfen, Shanxi, China
| | - Jiaping Huan
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Dan Gao
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Shimeng Xu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Xiao Han
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Jing Song
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Linping Wang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Huifang Zhang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Qiao Niu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Xiaoting Lu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
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Parker JL, Appleton SL, Melaku YA, D'Rozario AL, Wittert GA, Martin SA, Toson B, Catcheside PG, Lechat B, Teare AJ, Adams RJ, Vakulin A. The association between sleep microarchitecture and cognitive function in middle-aged and older men: a community-based cohort study. J Clin Sleep Med 2022; 18:1593-1608. [PMID: 35171095 DOI: 10.5664/jcsm.9934] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Sleep microarchitecture parameters determined by quantitative power spectral analysis (PSA) of electroencephalograms (EEGs) have been proposed as potential brain-specific markers of cognitive dysfunction. However, data from community samples remains limited. This study examined cross-sectional associations between sleep microarchitecture and cognitive dysfunction in community-dwelling men. METHODS Florey Adelaide Male Ageing Study participants (n=477) underwent home-based polysomnography (PSG) (2010-2011). All-night EEG recordings were processed using PSA following artefact exclusion. Cognitive testing (2007-2010) included the inspection time task, trail-making tests A (TMT-A) and B (TMT-B), and Fuld object memory evaluation. Complete case cognition, PSG, and covariate data were available in 366 men. Multivariable linear regression models controlling for demographic, biomedical, and behavioral confounders determined cross-sectional associations between sleep microarchitecture and cognitive dysfunction overall and by age-stratified subgroups. RESULTS In the overall sample, worse TMT-A performance was associated with higher NREM theta and REM theta and alpha but lower delta power (all p<0.05). In men ≥65 years, worse TMT-A performance was associated with lower NREM delta but higher NREM and REM theta and alpha power (all p<0.05). Furthermore, in men ≥65 years, worse TMT-B performance was associated with lower REM delta but higher theta and alpha power (all p<0.05). CONCLUSIONS Sleep microarchitecture parameters may represent important brain-specific markers of cognitive dysfunction, particularly in older community-dwelling men. Therefore, this study extends the emerging community-based cohort literature on a potentially important link between sleep microarchitecture and cognitive dysfunction. Utility of sleep microarchitecture for predicting prospective cognitive dysfunction and decline warrants further investigation.
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Affiliation(s)
- Jesse L Parker
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Sarah L Appleton
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Angela L D'Rozario
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.,The University of Sydney, Faculty of Science, School of Psychology, Sydney, New South Wales, Australia
| | - Gary A Wittert
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Sean A Martin
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Barbara Toson
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Peter G Catcheside
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Bastien Lechat
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Alison J Teare
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Robert J Adams
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Respiratory and Sleep Services, Southern Adelaide Local Health Network, Bedford Park, Adelaide, South Australia, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.,CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
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Lu XT, Xu SM, Zhang YW, Gao D, Yang H, Song J, Wang LP, Zhang QL, Shang N, Niu Q. Longitudinal study of the effects of occupational aluminium exposure on workers' cognition. CHEMOSPHERE 2021; 271:129569. [PMID: 33453483 DOI: 10.1016/j.chemosphere.2021.129569] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 11/27/2020] [Accepted: 01/04/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To explore the effects of occupational aluminium(Al) exposure on workers' cognition through a longitudinal study. METHODS The study population consisted of 276 workers in an Al factory. In 2014, we used inductively coupled plasma mass spectrometry (ICP-MS) to determine the plasma aluminium (P-Al) concentration of the workers, and a combined questionnaire to test the workers' cognitive function. Followed-up in 2016, the workers were tested again for cognitive function. Generalized linear regression was used to assess the association between P-Al concentration and cognitive scores, and multivariable logistic regression was used to assess the risk of cognitive decline caused by Al exposure. RESULTS Generalized linear regression results showed that a non-significant association was found between the P-Al concentration and cognitive test scores (P > 0.05) in 2014. Two years later, each 10-fold increase in P-Al concentration was inversely associated with the score of Mini-Mental state examination (MMSE) (β: -0.53, 95% CI: -0.86, -0.20) and Fuld object memory evaluation (FOME) (β: -0.93, 95% CI: -1.62, -0.24). Each 10-fold increase in P-Al concentration was inversely associated with MMSE2016-2014 (β: -0.38, 95% CI: -0.74, -0.01) and FOME2016-2014 (β: -1.20, 95% CI: -1.95, -0.45). There was a statistically significant difference in the average annual rate of change of MMSE and FOME with the tertile of P-Al concentration increase (P < 0.05). The multivariable logistic regression results showed that as the P-Al concentration increased, the risk of a FOME score decline increased (Ptrend = 0.009). CONCLUSIONS Continuous occupational Al exposure can damage workers' overall cognitive ability, especially episodic memory function.
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Affiliation(s)
- Xiao-Ting Lu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China.
| | - Shi-Meng Xu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Yun-Wei Zhang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Dan Gao
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Hui Yang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Jing Song
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Lin-Ping Wang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Qin-Li Zhang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Nan Shang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Qiao Niu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, China.
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Parker JL, Appleton SL, Melaku YA, Stevens D, Wittert GA, Martin S, Adams RJ, Vakulin A. Sleep macroarchitecture but not obstructive sleep apnea is independently associated with cognitive function in only older men of a population-based cohort. J Sleep Res 2021; 30:e13370. [PMID: 33890335 DOI: 10.1111/jsr.13370] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/08/2021] [Accepted: 04/08/2021] [Indexed: 12/20/2022]
Abstract
Evidence linking obstructive sleep apnea with cognitive dysfunction predominantly comes from clinical or select community samples. We investigated the independent cross-sectional association of obstructive sleep apnea and sleep macroarchitecture parameters with cognitive function in unselected community-dwelling middle-aged and older men. Four hundred and seventy-seven Florey Adelaide Male Ageing Study participants underwent successful home-based polysomnography. They also completed cognitive testing, including the inspection time task, Fuld object memory evaluation, trail-making test A and B, and mini-mental state examination. Multivariable regression models examined independent cross-sectional associations of obstructive sleep apnea and sleep macroarchitecture parameters with cognitive function. In univariable analyses, a higher apnea-hypopnea index and percentage of total sleep time with oxygen saturation <90% were associated with worse trail-making test A performance (both p < .05). A higher apnea-hypopnea index was also associated with worse trail-making test B performance and slower inspection time (both p < .05). In adjusted analyses, obstructive sleep apnea and sleep macroarchitecture parameters were not associated with cognitive function (all p > .05). In age-stratified analysis in men ≥65 years, greater stage 1 sleep was independently associated with worse trail-making test A performance, whereas greater stage 3 sleep was independently associated with better trail-making test A performance (both p < .05). Our findings suggest that obstructive sleep apnea is not independently associated with cognitive function. In older, but not younger, men, light sleep was associated with worse attention, whereas deep sleep was associated with better attention. Longitudinal population-based cohort studies are needed to determine if obstructive sleep apnea and disrupted sleep macroarchitecture independently predict prospective cognitive dysfunction and decline.
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Affiliation(s)
- Jesse L Parker
- Flinders Health and Medical Research Institute - Sleep Health, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Sarah L Appleton
- Flinders Health and Medical Research Institute - Sleep Health, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.,Freemasons Foundation Centre for Men's Health, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Yohannes A Melaku
- Flinders Health and Medical Research Institute - Sleep Health, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - David Stevens
- Flinders Health and Medical Research Institute - Sleep Health, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Gary A Wittert
- Freemasons Foundation Centre for Men's Health, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Sean Martin
- Freemasons Foundation Centre for Men's Health, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Robert J Adams
- Flinders Health and Medical Research Institute - Sleep Health, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.,Freemasons Foundation Centre for Men's Health, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,Respiratory and Sleep Services, Southern Adelaide Local Health Network, Bedford Park, Adelaide, SA, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute - Sleep Health, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.,NeuroSleep - NHMRC Centre of Research Excellence, and Centre for Sleep and Chronobiology (CIRUS), Woolcock Institute of Medical Research, University of Sydney, Sydney, NSW, Australia
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Wang X, Zhao Y, Ji X, Sang S, Shao S, Yan P, Li S, Li J, Wang G, Lu M, Du Y, Xue F, Qiu C, Sun Q. Kongcun Town Asymptomatic Intracranial Artery Stenosis study in Shandong, China: cohort profile. BMJ Open 2020; 10:e036454. [PMID: 32665348 PMCID: PMC7359188 DOI: 10.1136/bmjopen-2019-036454] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
PURPOSE The population-based Kongcun Town Asymptomatic Intracranial Artery Stenosis (KT-aICAS) study aims to investigate the prevalence of aICAS and major cardiovascular risk factors (CRFs) or biomarkers related to the development and prognosis of aICAS. PARTICIPANTS The KT-aICAS study included 2311 rural residents who were aged ≥40 years and living in Kongcun Town, Shandong Province, China. Baseline examination was conducted from October 2017 to October 2018, during which information on demographics, socioeconomics, personal and family medical history, and lifestyle factors was collected through face-to-face interviews, physical examination and blood tests. aICAS was initially screened using transcranial Doppler examination and then diagnosed using magnetic resonance angiography. Atherosclerosis in carotid arteries was diagnosed via carotid ultrasonography. High-resolution MRI was further used to evaluate the vessel wall of aICAS. Neuropsychological assessments were performed in the participants diagnosed with aICAS and the age-matched and sex-matched controls. FINDINGS TO DATE Of the 2311 participants, 2027 (87.7%) completed the diagnostic procedure and aICAS was detected in 154 persons, resulting in an overall prevalence of 7.6%. The prevalence of aICAS increased with advancing age from 5.1% in participants aged 40-49 years to 12.7% in those aged ≥70 years (p<0.001). aICAS was detected in 305 intracranial arteries, including 221 (72.5%) in the anterior circulation and 84 (27.5%) in the posterior circulation (p<0.001). In addition, major CRFs were highly prevalent among middle-aged and elderly rural dwellers who were free of clinical stroke. FUTURE PLANS Follow-up examinations will be performed every 3 years following the baseline examination. This study will increase our knowledge about the natural history of aICAS and facilitate studies of aICAS-associated disorders among rural-dwelling Chinese adults, such as ischaemic stroke and vascular cognitive impairment. TRIAL REGISTRATION NUMBER ChiCTR1800017197.
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Affiliation(s)
- Xiang Wang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yuanyuan Zhao
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiaokang Ji
- Department of Biostatistics, School of Public Health, Shandong University, Jinan, Shandong, China
| | - Shaowei Sang
- Department of Clinical Epidemiology, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Sai Shao
- Department of Radiology, Shandong Medical Imaging Research Institute, Jinan, Shandong, China
| | - Peng Yan
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Shan Li
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jifeng Li
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Guangbin Wang
- Department of Radiology, Shandong Medical Imaging Research Institute, Jinan, Shandong, China
| | - Ming Lu
- Department of Clinical Epidemiology, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Shandong University, Jinan, Shandong, China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurobiology, Care Sciences and Society, Karolinska Universitetssjukhuset, Stockholm, Sweden
| | - Qinjian Sun
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
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Yoon JS, Charness N, Boot WR, Czaja SJ, Rogers WA. Depressive Symptoms as a Predictor of Memory Complaints in the PRISM Sample. J Gerontol B Psychol Sci Soc Sci 2019; 74:254-263. [PMID: 28575476 DOI: 10.1093/geronb/gbx070] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 05/12/2017] [Indexed: 11/13/2022] Open
Abstract
Objectives The current study investigated baseline and longitudinal relationships between memory complaints, depressive symptoms, and cognition in older adults. Method Using the sample from the Personal Reminder Information and Social Management trial, we generated path models predicting self-rated memory complaints measured by the Memory Functioning Questionnaire (MFQ). Results Our baseline models showed that more depressive symptoms were associated with reporting more frequent forgetting incidents and a greater decline in memory function. The baseline models also revealed that higher scores in a latent cognitive function were associated with reporting a greater decline in memory functioning and a greater use of mnemonics. However, cognitive predictors did not mediate the baseline associations between the MFQ measures and depressive symptoms. Further, these predictors were not able to directly predict the 12-month MFQ measures over and above the baseline effects. Including personality traits (neuroticism and conscientiousness) did not significantly affect the models. Discussion Our results suggest that memory complaints about frequency of forgetting can be the most reliable indicator of depression risk among the four factors in the MFQ. We discuss theoretical implications for longitudinal relationships between memory complaints, depressive symptoms, and cognitive function in older adults.
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Affiliation(s)
- Jong-Sung Yoon
- Department of Psychology, Florida State University, Tallahassee
| | - Neil Charness
- Department of Psychology, Florida State University, Tallahassee
| | - Walter R Boot
- Department of Psychology, Florida State University, Tallahassee
| | - Sara J Czaja
- Department of Psychiatry & Behavioral Sciences, University of Miami Miller School of Medicine, Florida
| | - Wendy A Rogers
- School of Psychology, Georgia Institute of Technology, Atlanta
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Brief cognitive screening instruments for early detection of Alzheimer's disease: a systematic review. ALZHEIMERS RESEARCH & THERAPY 2019; 11:21. [PMID: 30819244 PMCID: PMC6396539 DOI: 10.1186/s13195-019-0474-3] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
OBJECTIVES The objective of this systematic review was (1) to give an overview of the available short screening instruments for the early detection of Alzheimer's disease (AD) and (2) to review the psychometric properties of these instruments. METHODS First, a systematic search of titles and abstracts of PubMed and Web of Science was conducted between February and July 2015 and updated in April 2016 and May 2018. Only papers written in English or Dutch were considered. All full-text papers about cognitive screening instruments for the early detection of AD were included, resulting in the identification of 38 pencil and paper tests and 12 computer tests. In a second step, the psychometric quality of these instruments was evaluated. Therefore, the same databases were searched again to identify papers that described the psychometric properties of the instruments meanwhile applying diagnostic criteria for the diagnostic groups included. RESULTS Out of 1454 papers, 96 clearly discussed the psychometric properties of the instruments. Eighty-nine papers discussed pencil and paper tests of which 80 were validated in a memory clinic setting. Based on the number of studies (31 articles) and the sensitivity (84%) and specificity (74%) values, the Montreal Cognitive Assessment (MoCA) seems to be a promising (pencil and paper) screening test for memory clinic testing as well as for population screening. Regarding computer tests, validation studies were only available for 7 out of 12 tests. CONCLUSIONS A large number of screening tests for AD are available. However, most tests are only validated in a memory clinic setting and description of the psychometric properties of the instruments is limited. Especially, computer tests require further research. The MoCA is a promising instrument, but the specificity to detect early AD is rather low.
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