Biogeographical factors affecting people with dementia of Alzheimer’s type and mild cognitive impairment

Background: Although driving by persons with dementia is an important public health concern, little is known about driving cessation in younger people with dementia. We aimed to determine the prevalence and factors affecting driving cessation in individuals with and without dementia aged under 65 years attending a memory clinic in a European setting. Methods: Subjects were consecutive patients assessed at a specialist memory service at a university teaching hospital between 2000 and 2010. The data collected included demographic, clinical, standardized cognitive assessments as well as information on driving. Dementia diagnosis was made using ICD-10 criteria. Results: Of the 225 people who were or had been drivers, 32/79 (41%) with young-onset dementia (YOD) stopped driving compared to 25/146 (17%) patients who had cognitive impairment due to other causes. Women were more likely to cease driving and voluntarily than men (p < 0.001). Diagnosis of YOD was associated with driving cessation (1.193, 95% CI 0.570–1.815, p ≤ 0.001), and was mediated by impairment in praxis with the highest indirect mediation effect (0.754, 95% CI 0.183–1.401, p = 0.009). Conclusions: YOD diagnosis, female gender, and impairment in praxis have a higher probability for driving cessation in those under 65 years of age with cognitive impairment.

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Factors Influencing Reversion to Normal Cognition and Progression to Dementia in Elderly with Mild Cognitive Impairment: Analysis of the Korean Longitudinal Study of Ageing

Journal of Korean Gerontological Nursing ◽

10.17079/jkgn.2021.23.3.297 ◽

2021 ◽

Vol 23 (3) ◽

pp. 297-310

Author(s):

Sujin Eom ◽

Ju-Young Ha

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Longitudinal Study ◽

Activities Of Daily Living ◽

Daily Living ◽

Study Data ◽

Social Activities ◽

Factors Affecting ◽

Instrumental Activities ◽

Normal Cognition

Purpose: The purpose of this study was to identify factors affecting reversion to normal cognition and progression to dementia from mild cognitive impairment (MCI) after 2 years.Methods: We analyzed data from the 6th and 7th “Korean Longitudinal Study of Ageing (KLoSA)”. A total of 773 participants aged 65 years and above classified as having MCI according to the Korean Mini-Mental State Examination in the 6th survey were included in the study. Data were analyzed by SPSS 26.0 software using x2 test, t-test, Mann-Whitney test and logistic regression analysis.Results: Of all the participants, 30.5% reverted to normal cognition, 48.5% remained with MCI, and 21.0% progressed to dementia. Factors such as young age (odds ratio [OR]=0.96, 95% confidence interval [CI]: 0.94~0.99), the absence of diabetes (OR=1.49, 95% CI: 1.01~2.19), and frequent neighbor networks “at least once or twice a month” (OR=2.35, 95% CI: 1.26~4.37), and “at least once a week” (OR=1.63, 95% CI: 1.03~2.56) compared to “never or less than 6 times a year” significantly associated with reversion to normal cognition. Meanwhile, factors such as old age (OR=1.09, 95% CI: 1.05~1.12), low level of perceived socioeconomic status (reference. above middle) (OR=1.59, 95% CI: 1.05~2.41), low levels of instrumental activities of daily living (OR=1.17, 95% CI: 1.05~1.32), and a small number of social activities (OR=0.70, 95% CI: 0.51~0.96) significantly associated with dementia progression.Conclusion: The study indicates the necessity of follow-up research for developing interventions that could aid individuals in reverting to normal cognitive function by managing diabetes or encouraging interaction with neighbors and preventing the progression to dementia by improving Instrumental Activities of Daily Living levels or encouraging participation in social activities.

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Factors Affecting the Acceptability of Social Robots by Older Adults Including People with Dementia or Cognitive Impairment: A Literature Review

International Journal of Social Robotics ◽

10.1007/s12369-018-0471-x ◽

2018 ◽

Vol 10 (5) ◽

pp. 643-668 ◽

Cited By ~ 22

Author(s):

Sally Whelan ◽

Kathy Murphy ◽

Eva Barrett ◽

Cheryl Krusche ◽

Adam Santorelli ◽

...

Keyword(s):

Older Adults ◽

Cognitive Impairment ◽

Literature Review ◽

Social Robots ◽

Factors Affecting ◽

People With Dementia

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The protocol of a clinical quality registry for dementia and mild cognitive impairment (MCI): the Australian dementia network (ADNeT) Registry

BMC Geriatrics ◽

10.1186/s12877-020-01741-2 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Xiaoping Lin ◽

Kasey Wallis ◽

Stephanie A. Ward ◽

Henry Brodaty ◽

Perminder S. Sachdev ◽

...

Keyword(s):

Cognitive Impairment ◽

Clinical Practice ◽

Mild Cognitive Impairment ◽

Patient Outcomes ◽

Steering Committee ◽

Primary Objective ◽

Clinical Quality ◽

Quality Registry ◽

People With Dementia ◽

Diagnosis Of Dementia

Abstract Background Dementia was identified as a priority area for the development of a Clinical Quality Registry (CQR) in Australia in 2016. The Australian Dementia Network (ADNeT) Registry is being established as part of the ADNeT initiative, with the primary objective of collecting data to monitor and enhance the quality of care and patient outcomes for people diagnosed with either dementia or Mild Cognitive Impairment (MCI). A secondary aim is to facilitate the recruitment of participants into dementia research and trials. This paper describes the Registry protocol. Methods The ADNeT Registry is a prospective CQR of patients newly diagnosed with either dementia or MCI. Eligible patients will be identified initially from memory clinics and individual medical specialists (e.g., geriatricians, psychiatrists and neurologists) involved in the diagnosis of dementia. Participants will be recruited using either an opt-out approach or waiver of consent based on three key determinants (capacity, person responsible, and communication of diagnosis). Data will be collected from four sources: participating sites, registry participants, carers, and linkage with administrative datasets. It is anticipated that the Registry will recruit approximately 10,000 participants by the end of 2023. The ADNeT registry will be developed and implemented to comply with the national operating principles for CQRs and governed by the ADNeT Registry Steering Committee. Discussion The ADNeT Registry will provide important data on current clinical practice in the diagnosis, treatment and care of people with dementia and MCI in Australia as well as long-term outcomes among these people. These data will help to identify variations in clinical practice and patient outcomes and reasons underlying these variations, which in turn, will inform the development of interventions to improve care and outcomes for people with dementia and MCI.

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