Observational studyInternational journal of geriatric psychiatry2022
Prevalence and predictors of Motoric Cognitive Risk syndrome in a community-dwelling older Scottish population: A longitudinal observational study.
Observational study in International journal of geriatric psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- The association between sarcopenia, sedentary behavior, and the motor cognitive risk syndrome: A Mendelian randomization study.Medicine · 2026Article
- Association of physical activity with motoric cognitive risk syndrome among the middle-aged and older adults in China.Scientific reports · 2026Article
- Mediating pathways of physical capabilities: linking perceived physical fatigability to motoric cognitive risk syndrome in community older adults.BMC geriatrics · 2026Article
- Cognitive and physical functions among Chinese community-dwelling older adults with motoric cognitive risk syndrome: A prospective cohort study.International journal of nursing sciences · 2025Article
- Physical fitness and incident mild cognitive impairment: a systematic review.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025Review
- Electrocardiographic markers in Motoric Cognitive Risk syndrome.Gerontology · 2025Article
- Subjective motoric cognitive risk syndrome: Preliminary prevalence from an online survey of a German cohort aged 50.Journal of Alzheimer's disease : JAD · 2025Article
- Evaluation criteria for diagnosing motoric cognitive risk syndrome: a scoping review.Dementia & neuropsychologia · 2025Review
- Validation of a polygenic risk score for frailty in the Lothian Birth Cohort 1936 and English longitudinal study of ageing.Scientific reports · 2024Article
- Estimating presymptomatic episodic memory impairment using simple hand movement tests: A cross-sectional study of a large sample of older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Motoric cognitive risk syndrome trajectories and incident dementia over 10 years.Cerebral circulation - cognition and behavior · 2023Article
- Prevalence and predictors of Motoric Cognitive Risk syndrome in a community-dwelling older Scottish population: A longitudinal observational study.International journal of geriatric psychiatry · 2022Observational
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Authors and funding
6 authors at 2 institutions in 3 countries.
Funding
Abstract
objectivesMotoric Cognitive Risk (MCR) is a gait-based predementia syndrome that is easy to measure and prognostic of dementia and falls. We aimed to examine the prevalence and risk factors for MCR, and assess its overlap with Mild Cognitive Impairment, Prefrailty, and Frailty, in a cohort of older Scottish adults without dementia.
methodsIn this longitudinal prospective study, we classified 690 participants (mean [SD] age 76.3 [0.8] years; wave 3) of the Lothian Birth Cohort 1936 (LBC1936) into non-MCR or MCR groups. We examined their baseline (age 69.5 [0.8] years; wave 1) risk factors for MCR at waves 3, 4, and 5 (6, 9, and 12 years later respectively).
resultsMCR prevalence rate ranged from 5.3% to 5.7% across the three waves. The presence of MCR was associated with older baseline age (6 and 9 years later), lower occupational socioeconomic status (6 years later), and worse scores in a range of tests of executive function (6, 9 and 12 years later). Approximately 46% of the MCR group also had Mild Cognitive Impairment, and almost everyone in the MCR group had either Prefrailty or Frailty.
conclusionsThe prevalence of MCR in this Scottish cohort is lower than the pooled global average, possibly reflecting the general good health of the LBC cohort. However, it is higher than the prevalence in two neighbouring countries' cohorts, which may reflect the younger average ages of those cohorts. Future LBC1936 research should assess the risk factors associated with MCR to validate previous findings and analyse novel predictive factors, particularly socioeconomic status.
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