Associations of sitting accumulation patterns with cardio-metabolic risk biomarkers in Australian adults.

Associations of sitting accumulation patterns with cardio-metabolic risk biomarkers in Australian adults.
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DOI:
10.1371/journal.pone.0180119
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发表时间:
2017
期刊:
影响因子:
3.7
通讯作者:
Healy GN
Healy GN
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Bellettiere J;Winkler EAH;Chastin SFM;Kerr J;Owen N;Dunstan DW;Healy GN

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长时间坐着会增加心血管疾病的风险,并且是有害的心脏代谢风险生物标志物。尽管有证据表明,长时间久坐可能会带来额外的风险,但仍需要使用高质量的措施进行验证。我们通过准确测量坐姿积累,在澳大利亚糖尿病、肥胖和生活方式研究的成年人中研究了这个问题。 2011/2012 年,739 名年龄在 36 至 89 岁(平均值±SD 58±10 岁)的成年人佩戴了 activPAL3™ 监测仪(可提供准确客观的坐姿测量结果); 678 提供了≥4 天有效的监测数据以及完整的心脏代谢生物标志物和混杂数据。多变量线性回归模型检查了坐姿时间、≥30 分钟的坐姿时间(延长坐姿时间)以及坐姿积累模式与心脏代谢风险标志物的三种测量指标之间的关系:体重指数 (BMI)、腰围、血压、高密度脂蛋白和低密度脂蛋白(HDL 和 LDL)胆固醇、甘油三酯、糖化血红蛋白 (HbA1c)、空腹血糖 (FPG) 和负荷后 2 小时葡萄糖(PLG)。交互作用测试检查了坐姿时间与生物标志物的关联是否因平时坐姿持续时间的不同而变化。调整潜在的混杂因素后,坐姿时间增加和坐姿时间延长与 BMI、腰围、HDL 胆固醇和甘油三酯显着(p<0.05)有害相关。总坐时间也与较高的 PLG 显着相关。经常中断坐的坐积累模式(与相对长时间坐的模式相比)与 BMI、腰围、HDL 胆固醇、甘油三酯、PLG 和 FPG 显着有益相关。积累模式的效应大小通常比静坐时间的效应大小更大。显着的交互作用(p<0.05)表明,坐姿时间与 HDL、甘油三酯和 PLG 的相关性通常累积的时间越长,危害就越大。除了先前依赖于低质量测量的证据之外,我们的研究表明,以最常被打断的坐姿模式积累与多种心脏代谢生物标志物具有显着的有益关联,并且一次长时间坐着可能会加剧久坐时间的一些影响。研究结果支持久坐行为指南,促进减少和定期中断久坐。
High amounts of time spent sitting can increase cardiovascular disease risk and are deleteriously associated cardio-metabolic risk biomarkers. Though evidence suggests that accruing sitting time in prolonged periods may convey additional risk, verification using high-quality measures is needed. We examined this issue in adults from the Australian Diabetes, Obesity and Lifestyle Study, using accurate measures of sitting accumulation. In 2011/12, 739 adults aged 36 to 89 years (mean±SD 58±10 years) wore activPAL3™ monitors (which provide accurate objective measures of sitting); 678 provided ≥4 valid days of monitor data and complete cardio-metabolic biomarker and confounder data. Multivariable linear regression models examined associations of sitting time, sitting time accrued in ≥30 minute bouts (prolonged sitting time), and three measures of sitting accumulation patterns with cardio-metabolic risk markers: body mass index (BMI), waist circumference, blood pressure, high- and low- density lipoprotein (HDL and LDL) cholesterol, triglycerides, glycated haemoglobin (HbA1c), fasting plasma glucose (FPG) and 2-hour post-load glucose (PLG). Interactions tests examined whether associations of sitting time with biomarkers varied by usual sitting bout duration. Adjusted for potential confounders, greater amounts of sitting time and prolonged sitting time were significantly (p<0.05) deleteriously associated with BMI, waist circumference, HDL cholesterol, and triglycerides. Total sitting time was also significantly associated with higher PLG. Sitting accumulation patterns of frequently interrupted sitting (compared to patterns with relatively more prolonged sitting) were significantly beneficially associated with BMI, waist circumference, HDL cholesterol, triglycerides, PLG, and with FPG. Effect sizes were typically larger for accumulation patterns than for sitting time. Significant interactions (p<0.05) showed that associations of sitting time with HDL, triglycerides and PLG became more deleterious the longer at a time sitting was usually accumulated. Adding to previous evidence reliant on low-quality measures, our study showed that accumulating sitting in patterns where sitting was most frequently interrupted had significant beneficial associations with several cardio-metabolic biomarkers and that sitting for prolonged periods at a time may exacerbate some of the effects of sitting time. The findings support sedentary behavior guidelines that promote reducing and regularly interrupting sitting.