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
Departamento de Ciencias del Deporte y Acondicionamiento Físico, Universidad Católica de la Santísima Concepción, Concepción, Chile.
Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Chile.
Rev Med Chil. 2021 Oct;149(10):1450-1458. doi: 10.4067/s0034-98872021001001450.
The Chilean population reports high levels of physical inactivity. The relationship between income level, physical activity (PA) and sedentary behaviors is not well known.
To describe the levels of PA and sedentary time, according to income levels in the Chilean population.
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.
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).
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.
智利人群报告显示身体活动水平较低。收入水平、身体活动(PA)与久坐行为之间的关系尚不清楚。
根据智利人群的收入水平描述身体活动水平和久坐时间。
分析2016 - 2017年智利全国健康调查的数据,该调查包括5130名参与者(52.9%为女性)。身体活动水平和久坐时间通过全球身体活动问卷进行测量。收入水平根据家庭自报的人均收入确定,并以五分位数表示。通过线性回归分析估计不同收入水平下的身体活动水平。
与交通相关的身体活动在收入最低的五分位数人群中更高(p = 0.039)。收入水平与包括中等强度、高强度、总身体活动、职业性和休闲性身体活动在内的身体活动领域没有趋势关系。休闲和职业性身体不活动的患病率在收入最低的五分位数人群中更高。久坐时间在高收入水平人群中更高(p < 0.01)。
收入最低五分位数的人群在与交通相关的身体活动上花费更多时间,坐着的时间更少。然而,低收入人群在休闲和工作时间的身体不活动患病率更高。