Device-worn measures of sedentary time and physical activity in South Asian adults at high risk for type 2 diabetes in Metro-Vancouver, Canada.

Device-worn measures of sedentary time and physical activity in South Asian adults at high risk for type 2 diabetes in Metro-Vancouver, Canada.
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DOI:
10.1371/journal.pone.0266599
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发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
Tang, Tricia S.
Tang, Tricia S.
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Mahmood, Bushra;Nettlefold, Lindsay;Ashe, Maureen C.;Puyat, Joseph H.;Tang, Tricia S.

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南亚人的慢性病发病率很高。身体活动(PA)和久坐时间是慢性病的可改变危险因素,但南亚人的评估主要基于自我报告。这项研究直接测量了加拿大南亚成年人的PA和久坐时间。在一项更大的研究中,100名南亚参与者被确定为患2型糖尿病的风险较高,他们佩戴了7天的实用加速计。采取了人体测量措施,并自我报告了社会人口因素,包括年龄、收入、教育水平、移民后的年份、家庭中是否有12岁以下儿童和就业状况。91名参与者(平均年龄65.6岁)提供了有效的加速度计数据。参与者平均累积673.5 (95% CI: 656.6, 691.0)分钟/天的久坐时间,130.5 (95% CI: 117.3, 145.3)分钟/天的轻度PA (LPA)和2.3 (95% CI: 1.3, 4.2)分钟/天的中度至剧烈PA (MVPA)。对于久坐时间和LPA,性别和BMI解释了51%的差异。对于MVPA, BMI、评估季节和就业状况解释了23%的变异,就业者的平均分钟/天MVPA积累显著高于失业者;(5.8, 95% CI: 1.5, 21.7) vs (1.5, 95% CI: 5.3, 20.0)。高久坐时间和低MVPA表明需要将健康促进工作重点放在将久坐时间转变为LPA,同时试图增加MVPA。未来的研究需要基于更大的、有代表性的南亚人样本。
South Asians have high incidence of chronic disease. Physical activity (PA) and sedentary time are modifiable risk factors for chronic disease but their assessment in South Asians has been primarily based on self-report. This study presents directly-measured PA and sedentary time in South Asian adults in Canada. A subset of 100 South Asian participants from a larger study who were identified at being at a higher risk for type 2 diabetes wore Actical accelerometers for 7 days. Anthropometric measures were taken and socio-demographic factors including age, income, education level, years since immigration, presence of children under the age of 12 years in the household and employment status were self-reported. Ninety-one participants (mean age 65.6 years) provided valid accelerometer data. Participants accumulated mean 673.5 (95% CI: 656.6, 691.0) min/day sedentary time, 130.5 (95% CI: 117.3, 145.3) min/day light PA (LPA) and 2.3 (95% CI: 1.3, 4.2) min/day moderate-to-vigorous PA (MVPA). For sedentary time and LPA, sex and BMI explained 51% of variability. For MVPA, BMI, season of assessment and employment status explained 23% variability with those who were employed accumulating significantly higher mean min/day of MVPA compared to those who were unemployed; (5.8, 95% CI: 1.5, 21.7) vs (1.5, 95% CI: 5.3, 20.0) respectively. High sedentary time, and low MVPA indicates the need to focus health promotion efforts on shifting sedentary time into LPA while trying to increase MVPA. Future studies need to be based on larger, representative samples of South Asians.
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