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Leung Y, Eramudugolla R, Cherbuin N, Peters R, Mortby ME, Kiely KM, Anstey KJ. Estimating Gender Differences in the Association between Cognitive Resilience and Mild Cognitive Impairment Incidence. Gerontology 2024; 70:776-784. [PMID: 38697040 DOI: 10.1159/000538615] [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: 09/20/2023] [Accepted: 03/22/2024] [Indexed: 05/04/2024] Open
Abstract
INTRODUCTION Recent evidence suggests that the influence of verbal intelligence and education on the onset of subjective cognitive decline may be modulated by gender, where education contributes less to cognitive resilience (CR) in women than in men. This study aimed to examine gender differences in the association between CR and mild cognitive impairment (MCI) incidence in an Australian population-based cohort. METHODS We included 1,806 participants who had completed at least the first two waves and up to four waves of assessments in the Personality and Total Health (PATH) Through Life study (baseline: 49% female, male = 62.5, SD = 1.5, age range = 60-66 years). CR proxies included measures of educational attainment, occupation skill, verbal intelligence, and leisure activity. Discrete-time survival analyses were conducted to examine gender differences in the association between CR proxies and MCI risk, adjusting for age and apolipoprotein E4 status. RESULTS Gender differences were only found in the association between occupation and MCI risk, where lower occupation skill was more strongly associated with higher risk in men than in women (odds ratio [OR] = 1.30, 95% confidence interval [CI] [1.07, 1.57]). In both genders, after adjusting for education and occupation, one SD increase in leisure activity was associated with lower MCI risk by 32% (OR = 0.76, 95% CI [0.65, 0.89]). Higher scores in verbal intelligence assessment were associated with reduced risk of MCI by 28% (OR = 0.78, 95% CI [0.69, 0.89]). CONCLUSION Occupational experience may contribute to CR differently between genders. Life course cognitive engagement and verbal intelligence may be more protective against MCI than education and occupation for both men and women.
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Affiliation(s)
- Yvonne Leung
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Ranmalee Eramudugolla
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Nicolas Cherbuin
- Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Ruth Peters
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
- George Institute for Global Health, Sydney, New South Wales, Australia
| | - Moyra E Mortby
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Kim M Kiely
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
- School of Health and Society, and School of Mathematics and Applied Statistics, University of Wollongong, Sydney, New South Wales, Australia
| | - Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
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Taati Moghadam M, Amirmozafari N, Mojtahedi A, Bakhshayesh B, Shariati A, Masjedian Jazi F. Association of perturbation of oral bacterial with incident of Alzheimer's disease: A pilot study. J Clin Lab Anal 2022; 36:e24483. [PMID: 35689551 PMCID: PMC9279996 DOI: 10.1002/jcla.24483] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE This case-control study was designed to compare the composition of the predominant oral bacterial microbiome in Alzheimer's disease (AD) and control group. SUBJECT A total of 30 adult participants (15 AD and 15 healthy individuals) were entered in this study. The composition of oral bacterial microbiome was examined by quantitative real-time polymerase chain reaction (qPCR) using bacterial 16S rDNA gene. The levels of systemic inflammatory cytokines in both groups were assessed using enzyme-linked immunosorbent assays (ELISA). RESULTS The loads of Porphyromonas gingivalis, Fusobacterium nucleatum, and Prevotella intermedia were significantly more abundant in the AD compared to the control group (p < 0.05). Although Aggregatibacter actinomycetemcomitans and Streptococcus mutans were relatively frequent in the AD group, no significance difference was observed in their copy number between two groups. Although the concentrations of IL-1, IL-6, and TNF-α were higher in the AD group, there was a significant difference in their levels between the two groups (p < 0.05). Finally, there was a significant relationship between increased number of pathogenic bacteria in oral microbiome and higher concentration of cytokines in patient's blood. CONCLUSION Our knowledge of oral microbiome and its exact association with AD is rather limited; our study showed a significant association between changes in oral microbiome bacteria, increased inflammatory cytokines, and AD.
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Affiliation(s)
- Majid Taati Moghadam
- Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.,Department of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Nour Amirmozafari
- Department of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Mojtahedi
- Department of Microbiology, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Babak Bakhshayesh
- Department of Neurology, Poursina Hospital, Guilan University of Medical Sciences, Rasht, Iran
| | - Aref Shariati
- Molecular and medicine research center, Khomein University of Medical Sciences, Khomein, Iran
| | - Faramarz Masjedian Jazi
- Department of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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Madhavan A, Bajaj G, Bajaj PD, D'Souza DF. Cognitive abilities among employed and unemployed middle-aged women – A systematic review. CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH 2022. [DOI: 10.1016/j.cegh.2022.101042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Luo W, Wen H, Ge S, Tang C, Liu X, Lu L. Development of a Sex-Specific Risk Scoring System for the Prediction of Cognitively Normal People to Patients With Mild Cognitive Impairment (SRSS-CNMCI). Front Aging Neurosci 2022; 13:774804. [PMID: 35145390 PMCID: PMC8823413 DOI: 10.3389/fnagi.2021.774804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 12/15/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE We aimed to develop a sex-specific risk scoring system, abbreviated as SRSS-CNMCI, for the prediction of the conversion of cognitively normal (CN) people into patients with Mild Cognitive Impairment (MCI) to provide a reliable tool for the prevention of MCI. METHODS CN at baseline participants 61-90 years of age were selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database with at least one follow-up. Multivariable Cox proportional hazards models were used to identify the major risk factors associated with the conversion from CN to MCI and to develop the SRSS-CNMCI. Receiver operating characteristic (ROC) curve analysis was used to determine risk cutoff points corresponding to an optimal prediction. The results were externally validated, including evaluation of the discrimination and calibration in the Harvard Aging Brain Study (HABS) database. RESULTS A total of 471 participants, including 240 female (51%) and 231 male participants (49%) aged from 61 to 90 years, were included in the study cohort. The final multivariable models and the SRSS-CNMCI included age, APOE e4, mini mental state examination (MMSE) and clinical dementia rating (CDR). The C-statistics of the SRSS-CNMCI were 0.902 in the female subgroup and 0.911 in the male subgroup. The cutoff point of high and low risks was 33% in the female subgroup, indicating that more than 33% female participants were considered to have a high risk, and more than 9% participants were considered to have a high risk in the male subgroup. The SRSS-CNMCI performed well in the external cohort: the C-statistics were 0.950 in the female subgroup and 0.965 in the male subgroup. CONCLUSION The SRSS-CNMCI performs well in various cohorts and provides an accurate prediction and a generalization.
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Affiliation(s)
- Wen Luo
- School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China
- Evidence-Based Medicine and Data Science Centre, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hao Wen
- Department of Neurology, The Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shuqi Ge
- Evidence-Based Medicine and Data Science Centre, Guangzhou University of Chinese Medicine, Guangzhou, China
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chunzhi Tang
- Evidence-Based Medicine and Data Science Centre, Guangzhou University of Chinese Medicine, Guangzhou, China
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiufeng Liu
- School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Liming Lu
- Evidence-Based Medicine and Data Science Centre, Guangzhou University of Chinese Medicine, Guangzhou, China
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
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Huang LY, Hu HY, Wang ZT, Ma YH, Dong Q, Tan L, Yu JT. Association of Occupational Factors and Dementia or Cognitive Impairment: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2021; 78:217-227. [PMID: 32986670 DOI: 10.3233/jad-200605] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Several existing studies have reported that occupational factors might play an important part in cognitive function with aging. OBJECTIVE We aim to explore the associations between modifiable occupational factors and risk of dementia or mild cognitive impairment (MCI). METHODS Adopting random-effect models, this study conducted primary analyses for all occupational factors and subgroup analyses for the effect of occupation type based on prospective cohort and case-control studies searched from PubMed and EMBASE databases up to March 2020. RESULTS Among the 38,111 identified literatures, 9 studies on occupation type, 4 studies on work complexity, and 30 studies on occupational exposure were included. In terms of occupation type, mental work conferred a 44% reduced risk (95% CI = 0.34-0.94, I² = 85.00%, p < 0.01) for MCI. In terms of work complexity, higher work complexity conferred a 5% reduced risk (95% CI = 0.91-1.00, I² = 57.00%, p < 0.01) for dementia. In terms of occupational exposure, high strain and passive job in the longest-held job conferred a 1.21- and 1.15-fold excess risk (95% CI = 1.05-1.39 I² = 62.00%, p < 0.05; 95% CI = 1.05-1.26 I² = 31.00%, p = 0.23; respectively) of cognitive decline. Besides, magnetic field exposure conferred a 1.26-fold excess risk (95% CI = 1.01-1.57, I² = 69.00%, p < 0.01) for dementia. CONCLUSION Novel prevention strategies based on occupational factors may hold promise against dementia and MCI.
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Affiliation(s)
- Liang-Yu Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - He-Ying Hu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zuo-Teng Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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Pritchard C, Hansen L, Silk A, Rosenorn-Lanng E. 21st Century Early Adult (55-74) Deaths from Brain-Disease-Deaths Compared to All Other Cause Mortality in the Major Western Countries - Exposing a Hidden Epidemic. Neurol Res 2021; 43:900-908. [PMID: 34253141 DOI: 10.1080/01616412.2021.1943121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To examine early adult deaths (EAD) - people aged 55-74 due to brain disease deaths (BDD) compared to all other causes (AOC) in the 21st century in 21 major Western countries (MWC). METHOD EAD are below MWCc average life expectancy. All mortality drawn from the latest WHO data. The three global BDD categories consist of mental and behaviour disorder, nervous diseases and Alzheimer and other dementias. Mortality rates per million are analysed for people 55-74 years and total age-standardised death rates (ASDR). BDD rates between 2000-2015 compared against AOC of deaths for EAD and ASDR. Confidence Intervals determine any significant difference AOC and BDD over the period 2000-15, plus an examination of EAD in six separate global mortality categories. RESULTS EAD: The separate BDD categories for EAD significantly positively correlated, validating their combination as BDD. Every country's AOC 55-74 rates fell substantially, but fourteen country's BDD rose substantially (>20%) and all MWC countries BDD rose significantly more than AOC. ASDR: All nations total AOC fell substantially, whereas seventeen BDD rates rose substantially and every country's BDD significantly increased compared to AOC deaths. Six other EAD mortalities, circulatory, cancer, respiratory, compared to BDD produced Odds Ratios ranging from 1:1.54 to 1:2.36 such were the marked differences over the period. DISCUSSION Positive news is that AOC are down across all investigated countries in the 21st century. However, the extent of the EAD rises in just 16 years indicates that these BDD conditions are starting earlier suggesting multiple interactive environmental factors impacting upon brain related diseases.
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Affiliation(s)
- Colin Pritchard
- Faculty of Social Sciences, Bournemouth University, Bournemouth, UK
| | - Lars Hansen
- Honorary Senior Lecturer, Dept of Psychiatry, University of Southampton, Bournemouth, UK
| | - Anne Silk
- Fellow in Public Heath, Bournemouth, UK
| | - Emily Rosenorn-Lanng
- Statistician Faculty of Health & Social Sciences, Bournemouth University UK, Bournemouth, UK
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Lee S, Choi JY, Lee W. The Impact of Long Working Hours on Cognitive Function: A Follow-Up Study with Gender Stratification. J Alzheimers Dis 2021; 80:727-734. [PMID: 33579851 DOI: 10.3233/jad-201404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Recent studies have shown that long working hours can have adverse consequences on health and possibly trigger biological processes that mediate the relationship between long working hours and cognitive decline. OBJECTIVE To investigate whether long working hours and the overall duration such exposure is associated with a decline in cognitive function. METHODS Data obtained during the Korean Longitudinal Study on Aging (n = 2,518) during the period 2006-2018 were used to explore the relationship between long working hours and cognitive decline. Korean version of the Mini-Mental State Examination (K-MMSE) scores were used to evaluate cognitive function. Cox proportional hazard regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs), which were used to evaluate declines in K-MMSE scores over the 12-year study period. RESULTS Overall HR (95% CI) for a decline in cognitive function in long working hours group was 1.13 (0.73-1.17). When categorized by sex, women with long working hours had an HR (95% CI) of 1.50 (1.05-2.22), K-MMSE scores decreased significantly after working long hours for 5 years (p < 0.01). CONCLUSION The study furthers understanding of the effects of long working hours on cognitive decline among female workers. Further research is required to determine the effects of long working hours on cognitive functions.
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Affiliation(s)
- Seunghyun Lee
- The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health Japan, Kitakyushu, Japan
| | - Joon Yul Choi
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Wanhyung Lee
- Department of Occupational and Environmental Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
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Subramaniapillai S, Almey A, Natasha Rajah M, Einstein G. Sex and gender differences in cognitive and brain reserve: Implications for Alzheimer's disease in women. Front Neuroendocrinol 2021; 60:100879. [PMID: 33137359 DOI: 10.1016/j.yfrne.2020.100879] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 10/14/2020] [Accepted: 10/27/2020] [Indexed: 12/11/2022]
Abstract
Women represent ⅔ of the cases of Alzheimer's disease (AD). Current research has focused on differential risks to explain higher rates of AD in women. However, factors that reduce risk for AD, like cognitive/brain reserve, are less well explored. We asked: what is known about sex and gender differences in how reserve mitigates risk for AD? We conducted a narrative review of the literature, with keywords: "sex/gender differences", "cognitive/brain reserve", "Alzheimer's Disease", and the following cognitive reserve contributors: "education", "IQ", "occupation", "cognitive stimulation", "bilingualism", "socioeconomic status", "physical activity", "social support". Sixteen papers disaggregated their data by sex. Those papers observed sex and gender differences in reserve contributors. There is also evidence that greater reserve may be more beneficial in lowering AD risk in women, although more research is needed. We discuss how traditional reserve contributors are gendered and may not capture factors that support cognition in aging women.
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Affiliation(s)
- Sivaniya Subramaniapillai
- Department of Psychology, McGill University, 2001 Avenue McGill College, Montréal, QC H3A 1G1, Canada; Brain Imaging Centre, Douglas Institute Research Centre, 6875 LaSalle Blvd Verdun, Montréal, QC H4H 1R3, Canada.
| | - Anne Almey
- Department of Psychology, University of Toronto, 100 St. George Street, Toronto, ON M5S 3G3, Canada
| | - M Natasha Rajah
- Brain Imaging Centre, Douglas Institute Research Centre, 6875 LaSalle Blvd Verdun, Montréal, QC H4H 1R3, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, 1033 Avenue des Pins, Montréal, QC H3A 1A1, Canada
| | - Gillian Einstein
- Department of Psychology, University of Toronto, 100 St. George Street, Toronto, ON M5S 3G3, Canada; Rotman Research Institute, Baycrest Hospital, 3560 Bathurst St, Toronto, ON M6A 2E1, Canada; Tema Genus, Linköping University, TEMA-huset, Entrance 37, Room E433, Campus Valla, Linköping, Sweden
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