a The UKK Institute for Health Promotion Research , Tampere , Finland.
b Department of Welfare , The National Institute for Health and Welfare (THL) , Helsinki , Finland.
J Sports Sci. 2019 Aug;37(16):1840-1848. doi: 10.1080/02640414.2019.1598251. Epub 2019 Apr 2.
This cross-sectional study analysed the association of sedentary behaviour (SB) and standing with waist circumference. Finnish adults aged 30-75 years from a sub-sample of population-based Health 2011 Study used a hip-worn tri-axial accelerometer (Hookie AM20, Traxmeet, Ltd, Espoo, Finland) for seven days. Those 1405 participants (57% women) who used accelerometer at least four days, minimum of 10 hours/day, were included. SB and standing were analysed in 6s epochs using validated algorithm. Daily total time, daily number and accumulated time from bouts (30s-5min,30s-10min,30s-15min,30s 30min,>5min,>10min,>15min, >30min) as well as daily number of sit-to-stand transitions were determined. Waist circumference (cm) was measured in standardized way. Participants' mean age was 52 years (SD 12.2). Mean waist circumference was 97cm (SD 12.3) in men and 87cm (SD 12.7) in women. According to multivariable stepwise linear regression analysis, sit-to-stand transitions [standardised regression coefficient (β)= -0.14, 95%CI -0.20 to -0.09], standing bouts of 30s-5min (β= -0.21, 95%CI -0.26 to -0.15) and number of 30s-30min SB bouts (β=0.12, 95%CI 0.06 to 0.17) were most strongly associated with waist circumference. Besides assessing total SB time, future studies should assess also different bout lengths of SB and sit-to-stand transitions and standing times should be assessed separately.
本横断面研究分析了久坐行为(SB)和站立与腰围的关系。来自基于人群的健康 2011 研究的一个子样本的 30-75 岁芬兰成年人使用 hip-worn 三轴加速度计(Hookie AM20,Traxmeet,Ltd,埃斯波,芬兰)进行了七天的测量。共有 1405 名参与者(57%为女性)至少使用加速度计四天,每天至少 10 小时,符合纳入标准。使用经过验证的算法,以 6 秒的时间间隔分析 SB 和站立时间。确定了每天的总时间、每天的次数和 bouts 的累积时间(30 秒-5 分钟、30 秒-10 分钟、30 秒-15 分钟、30 秒-30 分钟、>5 分钟、>10 分钟、>15 分钟、>30 分钟)以及每天从坐到站的转换次数。腰围(cm)以标准化方式测量。参与者的平均年龄为 52 岁(SD 12.2)。男性的平均腰围为 97cm(SD 12.3),女性为 87cm(SD 12.7)。根据多变量逐步线性回归分析,从坐到站的转换次数[标准化回归系数(β)=-0.14,95%置信区间(CI)-0.20 至-0.09]、30 秒-5 分钟的站立 bouts(β=-0.21,95%CI-0.26 至-0.15)和 30 秒-30 分钟 SB bouts 的数量(β=0.12,95%CI 0.06 至 0.17)与腰围的相关性最强。未来的研究除了评估总 SB 时间外,还应该评估不同的 SB bouts 长度和从坐到站的转换次数,并且应该分别评估站立时间。