MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Physical Activity & Behavioural Epidemiology Laboratories, Baker Heart & Diabetes Institute, Melbourne, Australia; Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Campus Sogndal, Western Norway University of Applied Sciences, Sogndal, Norway.
Prev Med. 2022 Mar;156:106977. doi: 10.1016/j.ypmed.2022.106977. Epub 2022 Feb 4.
Accelerometers provide detailed data about physical activity (PA) across the full intensity spectrum. However, when examining associations with health, results are often aggregated to only a few summary measures [e.g. time spent "sedentary" or "moderate-to-vigorous" intensity PA]. Using multivariate pattern analysis, which can handle collinear exposure variables, we examined associations between the full PA intensity spectrum and cardiometabolic risk (CMR) in a population-based sample of middle-aged to older adults. Participants (n = 3660; mean ± SD age = 69 ± 8y and BMI = 26.7 ± 4.2 kg/m; 55% female) from the EPIC-Norfolk study (UK) with valid accelerometry (ActiGraph-GT1M) data were included. We used multivariate pattern analysis with partial least squares regression to examine cross-sectional multivariate associations (r) across the full PA intensity spectrum [minutes/day at 0-5000 counts-per-minute (cpm); 5 s epoch] with a continuous CMR score (reflecting waist, blood pressure, lipid, and glucose metabolism). Models were sex-stratified and adjusted for potential confounders. There was a positive (detrimental) association between PA and CMR at 0-12 cpm (maximally-adjusted r = 0.08 (95%CI 0.06-0.10). PA was negatively (favourably) associated with CMR at all intensities above 13 cpm ranging between r = -0.09 (0.07-0.12) at 800-999 cpm and r = -0.14 (0.11-0.16) at 75-99 and 4000-4999 cpm. The strongest favourable associations were from 50 to 800 cpm (r = 0.10-0.12) in men, but from ≥2500 cpm (r = 0.18-0.20) in women; with higher proportions of model explained variance for women (R = 7.4% vs. 2.3%). Most of the PA intensity spectrum was beneficially associated with CMR in middle-aged to older adults, even at intensities lower than what has traditionally been considered "sedentary" or "light-intensity" activity. This supports encouragement of PA at almost any intensity in this age-group.
加速度计可提供整个运动强度范围内的详细体力活动 (PA) 数据。然而，在研究与健康的关系时，结果通常汇总为少数几个综合指标[例如，“久坐”或“中等至剧烈强度”体力活动所花费的时间]。我们使用多元模式分析，该分析可以处理共线性暴露变量，在一项基于人群的中年至老年成年人样本中，研究了整个 PA 强度范围与心血管代谢风险 (CMR) 的关联。参与者 (n = 3660; 平均 ± 标准差年龄为 69 ± 8 岁，BMI 为 26.7 ± 4.2 kg/m; 55%为女性) 来自英国 EPIC-Norfolk 研究，有有效的加速度计 (ActiGraph-GT1M) 数据。我们使用多元模式分析和偏最小二乘回归来检查整个 PA 强度范围[每分钟 0-5000 计数/分钟 (cpm); 5 秒区间]与连续 CMR 分数(反映腰围、血压、血脂和血糖代谢)之间的横断面多元关联 (r)。模型按性别分层，并调整了潜在的混杂因素。PA 与 0-12 cpm 之间存在正相关(有害) (调整后最大 r = 0.08 (95%CI 0.06-0.10)。PA 与 13 cpm 以上的所有强度呈负相关(有利)，范围在 800-999 cpm 时 r = -0.09 (0.07-0.12)，在 75-99 和 4000-4999 cpm 时 r = -0.14 (0.11-0.16)。在男性中，最强的有利关联来自 50 到 800 cpm (r = 0.10-0.12)，而在女性中则来自 2500 cpm 以上(r = 0.18-0.20);女性模型解释的方差比例更高(R = 7.4%比 2.3%)。在中年至老年成年人中，PA 强度范围的大部分与 CMR 呈正相关，即使在传统上被认为是“久坐”或“低强度”活动的强度下也是如此。这支持在该年龄段鼓励几乎任何强度的 PA。
