Revista Latino-Americana de Enfermagem · 2014 · 24 citations · 16 references
MedicineCommunity HealthGeriatric MedicineFrailtyGerontologyPhysical ActivityComprehensive Geriatric AssessmentFrailty AssessmentFrailty EpidemiologyWeight LossCross-sectional EpidemiologyFrailty DeterminantsFrailty PrevalenceLow Physical ActivityMultifactorial EtiologyMultinomial RegressionOlder ResidentsSocial Determinants Of Frailty
OBJECTIVE: to identify the prevalence of the factors associated with pre-frailty and frailty of elderly residents in a municipality with a low Human Development Index METHOD: Cross-sectional study with a populational and household framework conducted with 316 elderly people. Frailty was determined from the presence of three or more of the following factors: (i) self-reported unintentional weight loss; (ii) lack of strength and energy; (iii) weakness; (iv) slowness; (v) low level of physical activity. The association between frailty and socio-demographic, behavioral and health factors was measured using the multinomial logistic regression technique. RESULTS: The prevalence of pre-frailty and frailty was 58.7% and 23.8%, respectively. The adjusted regression model showed that the state of pre-frailty was associated with gender, age group and BMI, and frailty was associated with gender, age group, hospitalization, functional capacity, and self-perceived health. CONCLUSION: The evidence presented in this study demonstrates more variables associated with the frailty condition, reinforcing the concept of a multifactorial clinical syndrome that may result in the loss of functionality.
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Frailty in Older Adults: Evidence for a Phenotype
Linda P. Fried, Catherine M. Tangen, Jeremy Walston et al. · The Journals of Gerontology Series A · 2001 · 24.5K citations · Full text
Measurement of Functional Activities in Older Adults in the Community
R. I. PFEFFER, Takashi Kurosaki, C. H. Harrah et al. · Journal of Gerontology · 1982 · 3K citations