Your browser doesn't support javascript.
loading
Niveles de actividad física y tiempo sedente según ingreso económico en Chile: resultados de la Encuesta Nacional de Salud 2016-2017
Matus-Castillo, Carlos; Garrido-Méndez, Alex; Concha-Cisternas, Yeny; Poblete-Valderrama, Felipe; Vásquez-Gómez, Jaime; Cigarroa, Igor; Díaz-Martínez, Ximena; Martínez-Sanguinetti, María Adela; Beltrán, Ana Rosa; Martorell, Miquel; Ramírez-Alarcón, Karina; Salas-Bravo, Carlos; Lasserre-Laso, Nicole; Parra-Soto, Solange; Petermann-Rocha, Fanny; Celis-Morales, Carlos.
  • Matus-Castillo, Carlos; s.af
  • Garrido-Méndez, Alex; s.af
  • Concha-Cisternas, Yeny; s.af
  • Poblete-Valderrama, Felipe; s.af
  • Vásquez-Gómez, Jaime; s.af
  • Cigarroa, Igor; s.af
  • Díaz-Martínez, Ximena; s.af
  • Martínez-Sanguinetti, María Adela; s.af
  • Beltrán, Ana Rosa; s.af
  • Martorell, Miquel; Universidad de Concepción Centro de Vida Saludable.
  • Ramírez-Alarcón, Karina; s.af
  • Salas-Bravo, Carlos; s.af
  • Lasserre-Laso, Nicole; s.af
  • Parra-Soto, Solange; University of Glasgow Institute of Cardiovascular and Medical Sciences BHF Glasgow Cardiovascular Research Centre.
  • Petermann-Rocha, Fanny; University of Glasgow Institute of Cardiovascular and Medical Sciences BHF Glasgow Cardiovascular Research Centre.
  • Celis-Morales, Carlos; Universidad Mayor Centro de Investigaciones en Fisiología del Ejercicio.
Rev. méd. Chile ; 149(10)oct. 2021.
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1389372
ABSTRACT

Background:

The Chilean population reports high levels of physical inactivity. The relationship between income level, physical activity (PA) and sedentary behaviors is not well known.

Aim:

To describe the levels of PA and sedentary time, according to income levels in the Chilean population. Material and

Methods:

Analysis of data from the Chilean National Health Survey 2016-2017, which included 5,130 participants (52.9% women). The levels of PA and sedentary time were measured by the Global Physical Activity Questionnaire. Income levels were established according to the self-reported income per capita of the households and presented as quintiles. PA levels according to income levels were estimated by linear regression analyses.

Results:

Transport-related PA was higher in the lowest income quintiles (p = 0.039). There were no trends for income levels and PA domains including moderate, vigorous, total, occupational and leisure PA. The prevalence of leisure and occupational physical inactivities were higher in the lowest quintiles of income. Sitting time was higher in the higher income levels (p < 0.01).

Conclusions:

People in the lowest quintile for income spent more time in transport-related PA and less time sitting. However, physical inactivity prevalence during leisure and work time were higher in people with lower income.

Texto completo: DisponíveL Índice: LILACS (Américas) Tipo de estudo: Avaliação Econômica em Saúde / Fatores de risco País/Região como assunto: América do Sul / Chile Idioma: Espanhol Revista: Rev. méd. Chile Assunto da revista: Medicina Ano de publicação: 2021 Tipo de documento: Artigo

Similares

MEDLINE

...
LILACS

LIS

Texto completo: DisponíveL Índice: LILACS (Américas) Tipo de estudo: Avaliação Econômica em Saúde / Fatores de risco País/Região como assunto: América do Sul / Chile Idioma: Espanhol Revista: Rev. méd. Chile Assunto da revista: Medicina Ano de publicação: 2021 Tipo de documento: Artigo