QUALITY OF LIFE, PHYSICAL ACTIVITY, AND FUNCTIONALITY IN OLDER PRIMARY CARE USERS IN PORTO ALEGRE-RS

Geriatrics, Gerontology and Aging

Endereço:
Avenida Nossa Senhora de Copacabana,500 - 609 - Copacabana
Rio de Janeiro / RJ
22020001
Site: http://ggaging.com
Telefone: (21) 2285-8115
ISSN: 2447-2123
Editor Chefe: Roberto Alves Lourenço
Início Publicação: 10/10/2007
Periodicidade: Trimestral
Área de Estudo: Educação física, Área de Estudo: Enfermagem, Área de Estudo: Farmácia, Área de Estudo: Fisioterapia e terapia ocupacional, Área de Estudo: Fonoaudiologia, Área de Estudo: Medicina, Área de Estudo: Nutrição, Área de Estudo: Odontologia, Área de Estudo: Saúde coletiva, Área de Estudo: Serviço social, Área de Estudo: Multidisciplinar

QUALITY OF LIFE, PHYSICAL ACTIVITY, AND FUNCTIONALITY IN OLDER PRIMARY CARE USERS IN PORTO ALEGRE-RS

Ano: 2019 | Volume: 13 | Número: 4
Autores: Renata Breda Martins , Douglas Nunes Stahnke , Raquel Rousselet Farias ,Mara Regina Knorst , João Henrique Corrêa Kanan , Thais de Lima Resende
Autor Correspondente: Thais de Lima Resende | [email protected]

Palavras-chave: quality of life; aged; physical activity; primary health care.

Resumos Cadastrados

Resumo Inglês:

OBJECTIVE: To study the possible relation between quality of life and sociodemographic, anthropometric, functional and physical activity characteristics in older users of the Family Health Strategy in Porto Alegre-RS. METHODS: Cross-sectional and analytical study with older subjects (≥ 60 years). Data were prospectively collected in a random sample of 30 health units. The following variables were analyzed: sociodemographic (age, marital status, education); anthropometric (weight, height, body mass index); functional (walking speed, handgrip strength, Sit/Stand test). The Flanagan Quality of Life Scale and the Minnesota Physical Activity and Leisure Questionnaire (level of physical activity) were applied. Logistic Regression (Backward Conditional Method) was used for data analysis. RESULTS: Among the 577 older subjects evaluated (68.5 ± 6.4 years; 63.7% women), the majority (87%) presented high quality of life. In the initial multivariate (saturated) model, the following variables were considered as predictors of quality of life: gender, marital coexistence, time spent walking 10 m, higher Sit/Stand test score, handgrip strength, moderate, intense and total physical activity. The final model (6 steps) consisted of four variables: cohabitation, higher Sit/Stand test score, higher handgrip strength and engagement in intense physical activity. CONCLUSION: As observed, a high quality of life was related to older people who lived with a partner, presented higher upper and lower limb strength, and spent more time in the practice of intense physical activity