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Disability trajectories and mortality in older adults with different cognitive and physical profiles.
Grande, Giulia; Vetrano, Davide L; Fratiglioni, Laura; Marseglia, Anna; Vanacore, Nicola; Laukka, Erika Jonsson; Welmer, Anna-Karin; Rizzuto, Debora.
Afiliação
  • Grande G; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden. giulia.grande@ki.se.
  • Vetrano DL; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Fratiglioni L; Department of Geriatrics, Catholic University of Rome, Rome, Italy.
  • Marseglia A; Centro di Medicina dell'Invecchiamento, Fondazione Policlinico A. Gemelli, Rome, Italy.
  • Vanacore N; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Laukka EJ; Stockholm Gerontology Research Centre, Stockholm, Sweden.
  • Welmer AK; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Rizzuto D; National Centre for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy.
Aging Clin Exp Res ; 32(6): 1007-1016, 2020 Jun.
Article em En | MEDLINE | ID: mdl-31471890
ABSTRACT

BACKGROUND:

Cognitive and physical deficits independently raise the risk for negative events in older adults. Less is known about whether their co-occurrence constitutes a distinct risk profile. This study quantifies the association between cognitive impairment, no dementia (CIND), slow walking speed (WS) and their combination and disability and mortality.

METHODS:

We examined 2546 dementia-free people aged ≥ 60 years, part of the Swedish National study on Aging and Care in Kungsholmen (SNAC-K) up to 12 years. The following four profiles were created (1) healthy profile; (2) isolated CIND (scoring 1.5 SD below age-specific means on at least one cognitive domain); (3) isolated slow WS (< 0.8 m/s); (4) CIND+ slow WS. Disability was defined as the sum of impaired activities of daily living and trajectories of disability were derived from mixed-effect linear regression models. Piecewise proportional hazard models were used to estimate mortality rate [hazard ratios (HRs)]. Population attributable risks of death were calculated.

RESULTS:

Participants with both CIND and slow WS had the worst prognosis, especially in the short-term period. They experienced the steepest increase in disability and five times the mortality rate (HR 5.1; 95% CI 3.5-7.4) of participants free from these conditions. Similar but attenuated results were observed for longer follow-ups. Co-occurring CIND and slow WS accounted for 30% of short-term deaths.

CONCLUSIONS:

Co-occurring cognitive and physical limitations constitute a distinct risk profile in older people, and account for a large proportion of short-term deaths. Assessing cognitive and physical function could enable early identification of people at high risk for adverse events.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cognição Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: Europa Idioma: En Revista: Aging Clin Exp Res Assunto da revista: GERIATRIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cognição Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: Europa Idioma: En Revista: Aging Clin Exp Res Assunto da revista: GERIATRIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suécia