Predictive factors for dementia and cognitive impairment among residents living in the veterans' retirement communities in Taiwan: Implications for cognitive health promotion activities

被引:13
作者
Chen, Liang-Yu [1 ,2 ,4 ]
Wu, Yi-Hui [1 ,4 ]
Huang, Chung-Yu [1 ,2 ,4 ]
Liu, Li-Kuo [1 ,3 ,4 ]
Hwang, An-Chun [1 ,2 ,4 ]
Peng, Li-Ning [1 ,2 ,4 ]
Lin, Ming-Hsieh [1 ,4 ]
Chen, Liang-Kung [1 ,2 ,4 ]
机构
[1] Natl Yang Ming Univ, Aging & Hlth Res Ctr, Taipei, Taiwan
[2] Natl Yang Ming Univ, Inst Publ Hlth, Taipei, Taiwan
[3] Natl Yang Ming Univ, Inst Biomed Informat, Taipei, Taiwan
[4] Taipei Vet Gen Hosp, Ctr Geriatr & Gerontol, 201,Sec 2nd,Shih Pai Rd, Taipei 11217, Taiwan
关键词
cognitive decline; dementia; nutrition; physical activity; psychotropic agent; RISK-FACTORS; METAANALYSIS; VALIDATION; DECLINE; DISEASE; STATE; HOMES;
D O I
10.1111/ggi.13039
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
AimTo identify potentially modifiable risk factors for cognitive decline among veterans' home residents in Taiwan MethodsThe present retrospective cohort study was part of the Veteran Affairs-Comprehensive Geriatric Assessment study that retrieved data of the comprehensive geriatric assessment for 946 residents living at four veterans' homes in Taiwan. The study participants were interviewed every 3-6months from January 2012 and December 2014. Demographic characteristics,multimorbidity by Charlson's Comorbidities Index, physical function by the Barthel Index, cognition by the Mini-Mental State Examination (MMSE), depression by the five-item Geriatric Depression Scale and nutritional status by the Mini-Nutrition Assessment-Short Form were collected for analysis. A generalized estimating equation model was used after it was adjusted for age, educational level, five-item Geriatric Depression Scale, and problem of communication difficulty to identify potential modifiable risk factors for cognitive decline. ResultsThe mean age of the participants was 85.75.2years, with a mean follow-up period of 41 +/- 21.6weeks. The prevalence of cognitive impairment (defined by MMSE <24) was 65.6%, whereas 34% of the study participants were positive for depressive symptoms. Approximately one-fifth of the study participants were using psychotropic agents, which was higher among participants with cognitive impairment (23.6% vs 15.6%, P<0.05) than those without. In the generalized estimating equation model, physical function, nutritional status, depressive symptoms, ex-drinker, multimorbidity and stool incontinence were positively correlated with MMSE score; whereas advanced age, low educational level (<6years), presence of communication difficulty and use of psychotropic agents were inversely associated with the MMSE score. ConclusionsPhysical function and nutritional status were positively associated with the MMSE score, and use of psychotropic agents was negatively correlated with cognitive function. Further intervention study is required to improve the cognitive health of older adults living in the veterans' retirement communities. Geriatr Gerontol Int 2017: 17 (Suppl. 1): 7-13.
引用
收藏
页码:7 / 13
页数:7
相关论文
共 32 条
  • [1] A Review of Barriers and Enablers to Diagnosis and Management of Persons with Dementia in Primary Care
    Aminzadeh, Faranak
    Molnar, Frank J.
    Dalziel, William B.
    Ayotte, Debbie
    [J]. CANADIAN GERIATRICS JOURNAL, 2012, 15 (03): : 85 - 94
  • [2] Nutrition and brain aging: how can we move ahead?
    Barberger-Gateau, P.
    [J]. EUROPEAN JOURNAL OF CLINICAL NUTRITION, 2014, 68 (11) : 1245 - 1249
  • [3] A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION
    CHARLSON, ME
    POMPEI, P
    ALES, KL
    MACKENZIE, CR
    [J]. JOURNAL OF CHRONIC DISEASES, 1987, 40 (05): : 373 - 383
  • [4] Chen LY, 2016, J NUTR HEALTH AGING, V20, P41, DOI [10.1007/s12603-016-0674-5, 10.1007/s12603-015-0646-1]
  • [5] Identifying residents at greater risk for cognitive decline by Minimum Data Set in long-term care settings
    Chen, Liang-Yu
    Liu, Li-Kuo
    Peng, Li-Ning
    Lin, Ming-Hsien
    Chen, Liang-Kung
    Lan, Chung-Fu
    Chang, Po-Lun
    [J]. JOURNAL OF CLINICAL GERONTOLOGY & GERIATRICS, 2014, 5 (04) : 122 - 126
  • [6] Creavin ST, 2016, COCHRANE DB SYST REV, V1
  • [7] Risk Factors and Preventive Interventions for Alzheimer Disease State of the Science
    Daviglus, Martha L.
    Plassman, Brenda L.
    Pirzada, Amber
    Bell, Carl C.
    Bowen, Phyllis E.
    Burke, James R.
    Connolly, E. Sander, Jr.
    Dunbar-Jacob, Jacqueline M.
    Granieri, Evelyn C.
    McCarty, Kathleen
    Patel, Dinesh
    Trevisan, Maurizio
    Williams, John W., Jr.
    [J]. ARCHIVES OF NEUROLOGY, 2011, 68 (09) : 1185 - 1190
  • [8] Associated Factors With Antipsychotic Use in Long-Term Institutional Care in Eight European Countries: Results From the RightTimePlaceCare Study
    de Mauleon, Adelaide
    Sourdet, Sandrine
    Renom-Guiteras, Anna
    Gillette-Guyonnet, Sophie
    Leino-Kilpi, Helena
    Karlsson, Staffan
    Bleijlevens, Michel
    Zabategui, Adela
    Saks, Kai
    Vellas, Bruno
    Jolley, David
    Soto, Maria
    [J]. JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION, 2014, 15 (11) : 812 - 818
  • [9] Pharmacological modulation of cognitive and behavioral symptoms in patients with dementia due to Alzheimer's disease
    de Oliveira, Fabricio Ferreira
    Bertolucci, Paulo Henrique Ferreira
    Chen, Elizabeth Suchi
    Smith, Marilia de Arruda Cardoso
    [J]. JOURNAL OF THE NEUROLOGICAL SCIENCES, 2014, 336 (1-2) : 103 - 108
  • [10] DeKosky ST, 2012, WHO ALZHEIMERS DIS I