Gender and age influence the association between gait speed and mild cognitive impairment in community-dwelling Japanese older adults: from the Japan Prospective Studies Collaboration for Ageing and Dementia (JPSC-AD).


Journal

Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
ISSN: 1479-8301
Titre abrégé: Psychogeriatrics
Pays: England
ID NLM: 101230058

Informations de publication

Date de publication:
Nov 2023
Historique:
revised: 30 06 2023
received: 06 03 2023
accepted: 19 07 2023
medline: 6 11 2023
pubmed: 3 8 2023
entrez: 3 8 2023
Statut: ppublish

Résumé

Studies have shown that decreased gait speed is associated with impaired cognitive function. However, whether this association is equivalent across ages or genders in the older population remains unclear. Thus, we examined the association between mild cognitive impairment (MCI) and gait speed emphasising the influence of age and gender. Overall, 8233 Japanese participants aged ≥65 years were enrolled in this cross-sectional study between 2016 and 2018. After stratification by gender and age group, the participants' gait speeds were divided into quintiles, and the difference in MCI prevalence at each gait speed quintile was calculated. Logistic regression analyses were performed to assess the odds of MCI for each quintile and to assess the influence of age and gender. Males had a consistently higher prevalence of MCI than females. The odds of MCI were increased as gait speed decreased. Logistic regression analyses revealed that in the multivariable-adjusted model 2, the odds ratios (95% confidence interval; CI) for MCI were 2.02 (1.47-2.76) for females and 1.75 (1.29-2.38) for males in the slowest gait speed quintiles compared to the fastest quintile. In the stratified analyses, only males showed an age-dependent increase in the associations between gait speed and MCI, while females exhibited comparable associations across age groups. Reduced gait speed was associated with increased odds of MCI, and this association may vary according to gender and age. Therefore, gait speed could serve as a valuable screening tool for MCI, with gender- and age-dependent clinical implications.

Sections du résumé

BACKGROUND BACKGROUND
Studies have shown that decreased gait speed is associated with impaired cognitive function. However, whether this association is equivalent across ages or genders in the older population remains unclear. Thus, we examined the association between mild cognitive impairment (MCI) and gait speed emphasising the influence of age and gender.
METHODS METHODS
Overall, 8233 Japanese participants aged ≥65 years were enrolled in this cross-sectional study between 2016 and 2018. After stratification by gender and age group, the participants' gait speeds were divided into quintiles, and the difference in MCI prevalence at each gait speed quintile was calculated. Logistic regression analyses were performed to assess the odds of MCI for each quintile and to assess the influence of age and gender.
RESULTS RESULTS
Males had a consistently higher prevalence of MCI than females. The odds of MCI were increased as gait speed decreased. Logistic regression analyses revealed that in the multivariable-adjusted model 2, the odds ratios (95% confidence interval; CI) for MCI were 2.02 (1.47-2.76) for females and 1.75 (1.29-2.38) for males in the slowest gait speed quintiles compared to the fastest quintile. In the stratified analyses, only males showed an age-dependent increase in the associations between gait speed and MCI, while females exhibited comparable associations across age groups.
CONCLUSIONS CONCLUSIONS
Reduced gait speed was associated with increased odds of MCI, and this association may vary according to gender and age. Therefore, gait speed could serve as a valuable screening tool for MCI, with gender- and age-dependent clinical implications.

Identifiants

pubmed: 37533229
doi: 10.1111/psyg.13013
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

918-929

Subventions

Organisme : Japan Agency for Medical Research and Development

Informations de copyright

© 2023 The Authors. Psychogeriatrics published by John Wiley & Sons Australia, Ltd on behalf of Japanese Psychogeriatric Society.

Références

United Nations Department of Economic and Social Affairs Population Division. World Population Ageing 2019 Highlights, 2022. https://www.un-ilibrary.org/content/books/9789210045537.
Cabinet Office Home Page. Annual Report on the Aging Society, 2022. https://www8.cao.go.jp/kourei/english/annualreport/2017/2017pdf_e.html.
Albert MS, DeKosky ST, Dickson D et al. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 2011; 7: 270-279.
Petersen RC, Lopez O, Armstrong MJ et al. Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation Subcommittee of the American Academy of neurology. Neurology 2018; 90: 126-135. https://doi.org/10.1212/WNL.0000000000004826.
Mitchell AJ, Shiri-Feshki M. Rate of progression of mild cognitive impairment to dementia - meta-analysis of 41 robust inception cohort studies. Acta Psychiatr Scand 2009; 119: 252-265.
Buracchio T, Dodge HH, Howieson D, Wasserman D, Kaye J. The trajectory of gait speed preceding mild cognitive impairment. Arch Neurol 2010; 67: 980-986. https://doi.org/10.1001/archneurol.2010.159.
Hooghiemstra AM, Ramakers IHGB, Sistermans N et al. Gait speed and grip strength reflect cognitive impairment and are modestly related to incident cognitive decline in memory clinic patients with subjective cognitive decline and mild cognitive impairment: findings from the 4C study. J Gerontol A Biol Sci Med Sci 2017; 72: 846-854.
Quan M, Xun P, Chen C et al. Walking pace and the risk of cognitive decline and dementia in elderly populations: a meta-analysis of prospective cohort studies. J Gerontol A Biol Sci Med Sci 2017; 72: 266-270. https://doi.org/10.1093/gerona/glw121.
Peel NM, Alapatt LJ, Jones LV, Hubbard RE. The association between gait speed and cognitive status in community-dwelling older people: a systematic review and meta-analysis. J Gerontol A Biol Sci Med Sci 2019; 74: 943-948. https://doi.org/10.1093/gerona/gly140.
Buckley RF, Gong J, Woodward M. A call to action to address sex differences in Alzheimer disease clinical trials. JAMA Neurol 2023. Online ahead of print. https://doi.org/10.1001/jamaneurol.2023.1059.
Nebel RA, Aggarwal NT, Barnes LL et al. Understanding the impact of sex and gender in Alzheimer's disease: a call to action. Alzheimers Dement 2018; 14: 1171-1183.
Buckley RF, Scott MR, Jacobs HIL et al. Sex mediates relationships between regional tau pathology and cognitive decline. Ann Neurol 2020; 88: 921-932. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581543/.
Gan J, Chen Z, Shi Z et al. Sex differences in clinical cognitive impairment with Lewy bodies: a Chinese multicenter study. Biol Sex Differ 2022; 13: 55.
McCarrey AC, An Y, Kitner-Triolo MH, Ferrucci L, Resnick SM. Sex differences in cognitive trajectories in clinically normal older adults. Psychol Aging 2016; 31: 166-175.
Bohannon RW. Population representative gait speed and its determinants. J Geriatr Phys Ther 2008; 31: 49-52.
Ninomiya T, Nakaji S, Maeda T et al. Study design and baseline characteristics of a population-based prospective cohort study of dementia in Japan: the Japan prospective studies collaboration for aging and dementia (JPSC-AD). Environ Health Prev Med 2020; 25: 64. https://doi.org/10.1186/s12199-020-00903-3.
Yesavage JA, Sheikh JI. 9/geriatric depression scale (GDS). Clin Gerontol 1986; 5: 165-173. https://doi.org/10.1300/J018v05n01_09.
Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975; 12: 189-198.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Dsm-III-R, rev edn. Washington, DC: American Psychiatric Association, 1987.
Petersen RC, Stevens JC, Ganguli M, Tangalos EG, Cummings JL, DeKosky ST. Practice parameter: early detection of dementia: mild cognitive impairment (an evidence-based review). Report of the quality standards subcommittee of the American Academy of Neurology. Neurology 2001; 56: 1133-1142. https://doi.org/10.1212/WNL.56.9.1133.
Maeshima S, Osawa A, Maeshima E et al. Usefulness of a cube-copying test in outpatients with dementia. Brain Inj 2004; 18: 889-898. https://doi.org/10.1080/02699050410001671847.
Wechsler D. WMS-R. Wechsler Memory Scale-Revised [manual]. San Antonio: Psychological Corporation, 1987.
Mamiya Y, Nishio Y, Watanabe H et al. The pareidolia test: a simple neuropsychological test measuring visual hallucination-like illusions. PloS One 2016; 11: e0154713. https://doi.org/10.1371/journal.pone.0154713.
Bohannon RW, Wang YC. Four-meter gait speed: normative values and reliability determined for adults participating in the NIH toolbox study. Arch Phys Med Rehabil 2019; 100: 509-513. https://doi.org/10.1016/j.apmr.2018.06.031.
Hollman JH, McDade EM, Petersen RC. Normative spatiotemporal gait parameters in older adults. Gait Posture 2011; 34: 111-118. https://doi.org/10.1016/j.gaitpost.2011.03.024.
Zeng P, Han Y, Pang J et al. Sarcopenia-related features and factors associated with lower muscle strength and physical performance in older Chinese: a cross sectional study. BMC Geriatr 2016; 16: 45. https://doi.org/10.1186/s12877-016-0220-7.
Kasović M, Štefan L, Štefan A. Normative data for gait speed and height norm speed in ≥60-year-old men and women. Clin Interv Aging 2021; 16: 225-230.
Fuentes-Abolafio IJ, Stubbs B, Pérez-Belmonte LM, Bernal-López MR, Gómez-Huelgas R, Cuesta-Vargas A. Functional objective parameters which may discriminate patients with mild cognitive impairment from cognitively healthy individuals: a systematic review and meta-analysis using an instrumented kinematic assessment. Age Ageing 2021; 50: 380-393. https://doi.org/10.1093/ageing/afaa135.
Taniguchi Y, Yoshida H, Fujiwara Y, Motohashi Y, Shinkai S. A prospective study of gait performance and subsequent cognitive decline in a general population of older Japanese. J Gerontol A Biol Sci Med Sci 2012; 67: 796-803. https://doi.org/10.1093/gerona/glr243.
Veronese N, Stubbs B, Trevisan C et al. What physical performance measures predict incident cognitive decline among intact older adults? A 4.4year follow up study. Exp Gerontol 2016; 81: 110-118. https://doi.org/10.1016/j.exger.2016.05.008.
Wang H, Zhang H, Chen Y, Cai M, Guo C, Chen P. Association between walking speed and cognitive domain functions in Chinese suburban-dwelling older adults. Front Aging Neurosci 2022; 14: 935291. 10.3389%2Ffnagi.2022.935291.
Ho SC, Woo J, Sham A, Chan SG, Yu AL. A 3-year follow-up study of social, lifestyle and health predictors of cognitive impairment in a Chinese older cohort. Int J Epidemiol 2001; 30: 1389-1396. https://doi.org/10.1093/ije/30.6.1389.
Demnitz N, Hogan DB, Dawes H et al. Cognition and mobility show a global association in middle- and late-adulthood: analyses from the Canadian longitudinal study on aging. Gait Posture 2018; 64: 238-243. https://doi.org/10.1016/j.gaitpost.2018.06.116.
Hoogendijk EO, Rijnhart JJM, Skoog J et al. Gait speed as predictor of transition into cognitive impairment: findings from three longitudinal studies on aging. Exp Gerontol 2020; 129: 110783. https://doi.org/10.1016/j.exger.2019.110783.
Mielke MM, Roberts RO, Savica R et al. Assessing the temporal relationship between cognition and gait: slow gait predicts cognitive decline in the Mayo Clinic study of aging. J Gerontol A Biol Sci Med Sci 2013; 68: 929-937. https://doi.org/10.1093/gerona/gls256.
Collyer TA, Murray AM, Woods RL et al. Association of dual decline in cognition and gait speed with risk of dementia in older adults. JAMA Netw Open 2022; 5: e2214647. https://doi.org/10.1001/jamanetworkopen.2022.14647.
Gonzales MM, Wang C-P, Quiben M et al. Joint trajectories of cognition and gait speed in Mexican American and European American older adults: the San Antonio longitudinal study of aging. Int J Geriatr Psychiatry 2020; 35: 897-906. https://doi.org/10.1002/gps.5310.
Suzuki T, Nishita Y, Jeong S et al. Are Japanese older adults rejuvenating? Changes in health-related measures among older community dwellers in the last decade. Rejuvenation Res 2021; 24: 37-48. https://doi.org/10.1089/rej.2019.2291.
Grande G, Triolo F, Nuara A, Welmer AK, Fratiglioni L, Vetrano DL. Measuring gait speed to better identify prodromal dementia. Exp Gerontol 2019; 124: 110625. https://doi.org/10.1016/j.exger.2019.05.014.
Roberts R, Knopman DS. Classification and epidemiology of MCI. Clin Geriatr Med 2013; 29: 753-772. https://doi.org/10.1016/j.cger.2013.07.003.
Langa KM, Levine DA. The diagnosis and management of mild cognitive impairment: a clinical review. JAMA 2014; 312: 2551-2561. https://doi.org/10.1001/jama.2014.13806.
Boyle PA, Buchman AS, Wilson RS, Kelly JF, Bennett DA. The APOE epsilon4 allele is associated with incident mild cognitive impairment among community-dwelling older persons. Neuroepidemiology 2010; 34: 43-49. https://doi.org/10.1159/000256662.
Vasunilashorn S, Glei DA, Lin YH, Goldman N. Apolipoprotein E and measured physical and pulmonary function in older Taiwanese adults. Biodemography Soc Biol 2013; 59: 57-67. https://doi.org/10.1080/19485565.2013.778703.
Melzer D, Dik MG, van Kamp GJ, Jonker C, Deeg DJ. The apolipoprotein E e4 polymorphism is strongly associated with poor mobility performance test results but not self-reported limitation in older people. J Gerontol A Biol Sci Med Sci 2005; 60: 1319-1323. https://doi.org/10.1093/gerona/60.10.1319.
Doi T, Shimada H, Makizako H, Tsutsumimoto K, Uemura K, Suzuki T. Apolipoprotein E genotype and physical function among older people with mild cognitive impairment. Geriatr Gerontol Int 2015; 15: 422-427. https://doi.org/10.1111/ggi.12291.
Sakurai R, Montero-Odasso M. Apolipoprotein E4 allele and gait performance in mild cognitive impairment: results from the gait and brain study. J Gerontol A Biol Sci Med Sci 2017; 72: 1676-1682. https://doi.org/10.1093/gerona/glx075.
George KM, Gilsanz P, Peterson RL et al. Physical performance and cognition in a diverse cohort: kaiser healthy aging and diverse life experiences (KHANDLE) study. Alzheimer Dis Assoc Disord 2021; 35: 23-29. 10.1097%2FWAD.0000000000000428.
Handing EP, Rapp SR, Chen S-H et al. Heterogeneity in association between cognitive function and gait speed among older adults: an integrative data analysis study. J Gerontol A Biol Sci Med Sci 2021; 76: 710-715. https://doi.org/10.1093/gerona/glaa211.

Auteurs

Shogyoku Bun (S)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Kouta Suzuki (K)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Hidehito Niimura (H)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Ryo Shikimoto (R)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Hisashi Kida (H)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Mao Shibata (M)

Centre for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Takanori Honda (T)

Centre for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Tomoyuki Ohara (T)

Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Neuropsychiatry, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan.

Jun Hata (J)

Centre for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Shigeyuki Nakaji (S)

Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.

Tetsuya Maeda (T)

Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Iwate, Japan.

Kenjiro Ono (K)

Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.

Kenji Nakashima (K)

National Hospital Organisation, Matsue Medical Centre, Matsue, Japan.

Jun-Ichi Iga (JI)

Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Matsuyama, Japan.

Minoru Takebayashi (M)

Faculty of Life Sciences, Department of Neuropsychiatry, Kumamoto University, Kumamoto, Japan.

Toshiharu Ninomiya (T)

Centre for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Masaru Mimura (M)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

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