Your browser doesn't support javascript.
loading
Ethnicity predicts falls among community-dwelling older adults in Singapore.
Chen, Tuo-Yu; Tan, Pey June; Chan, Angelique.
Afiliação
  • Chen TY; Center for Aging Research and Education, Duke-NUS Medical School, Singapore.
  • Tan PJ; Center for Healthy Aging, Pennsylvania State University, University Park, Pennsylvania, USA.
  • Chan A; Geriatric Education and Research Institute, Singapore.
Geriatr Gerontol Int ; 18(1): 72-79, 2018 Jan.
Article em En | MEDLINE | ID: mdl-28857421
ABSTRACT

AIM:

The present study examined whether ethnicity independently predicted future falls among community-dwelling older Singaporeans, and whether ethnicity moderated the relationships between falls risk factors at baseline and falls at follow up.

METHODS:

Data from a longitudinal survey of older Singaporeans were used. Baseline assessment included handgrip strength, global cognitive function, mobility difficulties, health and psychosocial status. One-year retrospective falls information at follow up was the primary outcome.

RESULTS:

Final analysis included 1975 participants (mean age 73.6 ± 6.2 years, 53% women). Indians, followed by Malays, had a higher risk of falling compared with Chinese at follow up. This association remained after controlling for falls risk factors. Self-reported pain and poor global cognitive function imposed a substantial increment in the risk of falling among Malays compared with Chinese, but not Indians.

CONCLUSION:

Ethnicity was a significant predictor of future falls among older Singaporeans. Falls screening and intervention should take ethnicity into account to reach and support the appropriate target population. Geriatr Gerontol Int 2018; 18 72-79.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidentes por Quedas / Etnicidade Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País como assunto: Asia Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidentes por Quedas / Etnicidade Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País como assunto: Asia Idioma: En Ano de publicação: 2018 Tipo de documento: Article