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Original Study| Volume 16, ISSUE 12, P1103.e21-1103.e25, December 01, 2015

Motoric Cognitive Risk Syndrome: Prevalence and Risk Factors in Japanese Seniors

  • Takehiko Doi
    Correspondence
    Address correspondence to Takehiko Doi, PhD, PT, Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7–430 Morioka-cho, Obu, Aichi 474–8511, Japan.
    Affiliations
    Section for Health Promotion, Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan

    Japan Society for the Promotion of Science, Tokyo, Japan

    Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York
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  • Joe Verghese
    Affiliations
    Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York

    Department of Medicine, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York
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  • Hiroyuki Shimada
    Affiliations
    Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
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  • Hyuma Makizako
    Affiliations
    Section for Health Promotion, Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
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  • Kota Tsutsumimoto
    Affiliations
    Section for Health Promotion, Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
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  • Ryo Hotta
    Affiliations
    Section for Health Promotion, Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
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  • Sho Nakakubo
    Affiliations
    Section for Health Promotion, Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
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  • Takao Suzuki
    Affiliations
    National Center for Geriatrics and Gerontology, Obu, Aichi, Japan

    Department of Gerontology, J.F. Oberlin University Graduate School, Tokyo, Japan
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Published:October 14, 2015DOI:https://doi.org/10.1016/j.jamda.2015.09.003

      Abstract

      Objectives

      Motoric cognitive syndrome (MCR), a newly described predementia syndrome characterized by cognitive complaints and slow gait, is associated with increased risk of developing dementia. Due to the potential differences in health, behavioral, and lifestyle factors between races that can influence dementia risk, it is important to examine risk factors for MCR in different countries. This study aimed to report the prevalence as well as modifiable factors associated with MCR in Japanese community-dwelling older adults.

      Design

      A cross-sectional design.

      Setting

      General community.

      Participants

      A total of 9683 older adults (52% women, mean age: 73.6 years) participating in the National Center for Geriatrics and Gerontology Study of Geriatric Syndromes.

      Measurements

      Participants were screened for presence of MCR at baseline. The association of selected modifiable risk factors (medical illness, depressive symptoms, and falls) and lifestyle variables (obesity, physical inactivity, smoking, and alcohol consumption) with MCR was examined using multivariate logistic regression analysis.

      Results

      At cross-section, 619 participants met criteria for MCR, with an overall prevalence 6.4% (95% CI 5.9–6.9). A higher prevalence of MCR was seen with advancing age (P < .001), but there were no sex differences. Diabetes (adjusted odds ratio [OR] 1.47, P = .001), depressive symptoms (OR 3.57, P < .001), and falls (OR 1.45, P < .001) were associated with increased risk of MCR. Among the lifestyle factors, obesity (OR 1.26, P = .018) and physical inactivity (OR 1.57, P < .001) were associated with increased risk of MCR.

      Conclusion

      MCR is common in the elderly Japanese population. The potentially modifiable risk and lifestyle factors identified for MCR should be further studied to develop interventions.

      Keywords

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      References

        • Verghese J.
        • Annweiler C.
        • Ayers E.
        • et al.
        Motoric cognitive risk syndrome: Multicountry prevalence and dementia risk.
        Neurology. 2014; 83: 718-726
        • Verghese J.
        • Wang C.
        • Lipton R.B.
        • et al.
        Motoric cognitive risk syndrome and the risk of dementia.
        J Gerontol A Biol Sci Med Sci. 2013; 68: 412-418
        • Verghese J.
        • Ayers E.
        • Barzilai N.
        • et al.
        Motoric cognitive risk syndrome: Multicenter incidence study.
        Neurology. 2014; 83: 2278-2284
        • Meguro K.
        • Tanaka N.
        • Kasai M.
        • et al.
        Prevalence of dementia and dementing diseases in the old-old population in Japan: The Kurihara Project. Implications for Long-Term Care Insurance data.
        Psychogeriatrics. 2012; 12: 226-234
        • Shimada H.
        • Tsutsumimoto K.
        • Lee S.
        • et al.
        Driving continuity in cognitively impaired older drivers.
        Geriatr Gerontol Int. 2015 May 8; ([Epub ahead of print])
        • Folstein M.F.
        • Folstein S.E.
        • McHugh P.R.
        “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician.
        J Psychiatr Res. 1975; 12: 189-198
        • Petersen R.C.
        Clinical practice. Mild cognitive impairment.
        N Engl J Med. 2011; 364: 2227-2234
        • Yesavage J.A.
        Geriatric Depression Scale.
        Psychopharmacol Bull. 1988; 24: 709-711
        • van Oijen M.
        • de Jong F.J.
        • Hofman A.
        • et al.
        Subjective memory complaints, education, and risk of Alzheimer's disease.
        Alzheimers Dement. 2007; 3: 92-97
        • Shimada H.
        • Makizako H.
        • Doi T.
        • et al.
        Combined prevalence of frailty and mild cognitive impairment in a population of elderly Japanese people.
        J Am Med Dir Assoc. 2013; 14: 518-524
        • Verghese J.
        • LeValley A.
        • Hall C.B.
        • et al.
        Epidemiology of gait disorders in community-residing older adults.
        J Am Geriatr Soc. 2006; 54: 255-261
        • Barnes D.E.
        • Yaffe K.
        The projected effect of risk factor reduction on Alzheimer's disease prevalence.
        Lancet Neurol. 2011; 10: 819-828
        • Fujishima M.
        • Kiyohara Y.
        Incidence and risk factors of dementia in a defined elderly Japanese population:the Hisayama study.
        Ann N Y Acad Sci. 2002; 977: 1-8
        • Chang K.H.
        • Chung C.J.
        • Lin C.L.
        • et al.
        Increased risk of dementia in patients with osteoporosis: A population-based retrospective cohort analysis.
        Age (Dordr). 2014; 36: 967-975
        • Hajjar I.
        • Yang F.
        • Sorond F.
        • et al.
        A novel aging phenotype of slow gait, impaired executive function, and depressive symptoms:relationship to blood pressure and other cardiovascular risks.
        J Gerontol A Biol Sci Med Sci. 2009; 64: 994-1001
        • Wancata J.
        • Alexandrowicz R.
        • Marquart B.
        • et al.
        The criterion validity of the Geriatric Depression Scale: A systematic review.
        Acta Psychiatr Scand. 2006; 114: 398-410
        • Lamb S.E.
        • Jorstad-Stein E.C.
        • Hauer K.
        • et al.
        Development of a common outcome data set for fall injury prevention trials: The Prevention of Falls Network Europe consensus.
        J Am Geriatr Soc. 2005; 53: 1618-1622
        • The Examination Committee for Criteria of Metabolic Syndrome in Japan
        Definition and diagnosis criteria of metabolic syndrome.
        J Jpn Soc Intern Med. 2005; 94: 794-809
        • Petersen R.C.
        • Roberts R.O.
        • Knopman D.S.
        • et al.
        Prevalence of mild cognitive impairment is higher in men. The Mayo Clinic Study of Aging.
        Neurology. 2010; 75: 889-897
        • Hanninen T.
        • Hallikainen M.
        • Tuomainen S.
        • et al.
        Prevalence of mild cognitive impairment: A population-based study in elderly subjects.
        Acta Neurol Scand. 2002; 106: 148-154
        • Nakamura K.
        • Kasai M.
        • Ouchi Y.
        • et al.
        Apathy is more severe in vascular than amnestic mild cognitive impairment in a community: The Kurihara Project.
        Psychiatry Clin Neurosci. 2013; 67: 517-525
        • Daviglus M.L.
        • Bell C.C.
        • Berrettini W.
        • et al.
        NIH state-of-the-science conference statement: Preventing Alzheimer's disease and cognitive decline.
        NIH Consens State Sci Statements. 2010; 27: 1-30
        • Forti P.
        • Pisacane N.
        • Rietti E.
        • et al.
        Metabolic syndrome and risk of dementia in older adults.
        J Am Geriatr Soc. 2010; 58: 487-492
        • Liang K.Y.
        • Mintun M.A.
        • Fagan A.M.
        • et al.
        Exercise and Alzheimer's disease biomarkers in cognitively normal older adults.
        Ann Neurol. 2010; 68: 311-318
        • Tian Q.
        • Erickson K.I.
        • Simonsick E.M.
        • et al.
        Physical activity predicts microstructural integrity in memory-related networks in very old adults.
        J Gerontol A Biol Sci Med Sci. 2014; 69: 1284-1290
        • Doi T.
        • Makizako H.
        • Shimada H.
        • et al.
        Objectively measured physical activity, brain atrophy, and white matter lesions in older adults with mild cognitive impairment.
        Exp Gerontol. 2015; 62: 1-6
        • Makizako H.
        • Liu-Ambrose T.
        • Shimada H.
        • et al.
        Moderate-intensity physical activity, hippocampal volume, and memory in older adults with mild cognitive impairment.
        J Gerontol A Biol Sci Med Sci. 2015; 70: 480-486
        • Voss M.W.
        • Heo S.
        • Prakash R.S.
        • et al.
        The influence of aerobic fitness on cerebral white matter integrity and cognitive function in older adults: Results of a one-year exercise intervention.
        Hum Brain Mapp. 2013; 34: 2972-2985
        • Erickson K.I.
        • Voss M.W.
        • Prakash R.S.
        • et al.
        Exercise training increases size of hippocampus and improves memory.
        Proc Natl Acad Sci U S A. 2011; 108: 3017-3022
        • Suzuki T.
        • Shimada H.
        • Makizako H.
        • et al.
        A randomized controlled trial of multicomponent exercise in older adults with mild cognitive impairment.
        PLoS One. 2013; 8: e61483
        • Finucane M.M.
        • Stevens G.A.
        • Cowan M.J.
        • et al.
        National, regional, and global trends in body-mass index since 1980: Systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants.
        Lancet. 2011; 377: 557-567
        • Biessels G.J.
        • Strachan M.W.
        • Visseren F.L.
        • et al.
        Dementia and cognitive decline in type 2 diabetes and prediabetic stages:towards targeted interventions.
        Lancet Diabetes Endocrinol. 2014; 2: 246-255
        • Pasquier F.
        • Boulogne A.
        • Leys D.
        • et al.
        Diabetes mellitus and dementia.
        Diabetes Metab. 2006; 32: 403-414
        • Chang T.
        • Lung F.
        • Yen Y.
        Depressive symptoms, cognitive impairment, and metabolic syndrome in community-dwelling elderly in Southern Taiwan.
        Psychogeriatrics. 2014 Dec 17; ([Epub ahead of print])
        • Doi T.
        • Shimada H.
        • Park H.
        • et al.
        Cognitive function and falling among older adults with mild cognitive impairment and slow gait.
        Geriatr Gerontol Int. 2015; 15: 1073-1078
        • Seidler R.D.
        • Bernard J.A.
        • Burutolu T.B.
        • et al.
        Motor control and aging: Links to age-related brain structural, functional, and biochemical effects.
        Neurosci Biobehav Rev. 2010; 34: 721-733
        • Zheng J.J.
        • Delbaere K.
        • Close J.C.
        • et al.
        Impact of white matter lesions on physical functioning and fall risk in older people: A systematic review.
        Stroke. 2011; 42: 2086-2090
        • Zheng J.J.
        • Lord S.R.
        • Close J.C.
        • et al.
        Brain white matter hyperintensities, executive dysfunction, instability, and falls in older people: A prospective cohort study.
        J Gerontol A Biol Sci Med Sci. 2012; 67: 1085-1091
        • Iseki K.
        • Hanakawa T.
        • Hashikawa K.
        • et al.
        Gait disturbance associated with white matter changes: A gait analysis and blood flow study.
        Neuroimage. 2010; 49: 1659-1666
        • Ogama N.
        • Sakurai T.
        • Shimizu A.
        • et al.
        Regional white matter lesions predict falls in patients with amnestic mild cognitive impairment and Alzheimer's disease.
        J Am Med Dir Assoc. 2014; 15: 36-41
        • Ngandu T.
        • Lehtisalo J.
        • Solomon A.
        • et al.
        A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial.
        Lancet. 2015; 385: 2255-2263