Associations of device-measured physical activity across adolescence with metabolic traits: Prospective cohort study.
Associations of device-measured physical activity across adolescence with metabolic traits: Prospective cohort study.
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DOI：
10.1371/journal.pmed.1002649
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发表时间：
2018-09
期刊：
影响因子：
15.8
通讯作者：
Davey Smith G
中科院分区：
文献类型：
--
作者：
Bell JA;Hamer M;Richmond RC;Timpson NJ;Carslake D;Davey Smith G
之前尚未检查过多次设备测量的体力活动与代谢特征的关系。我们描述了青春期期间采取的三种加速度测量指标的总活动量、中度至剧烈体力活动 (MVPA) 和久坐时间与全身代谢相关详细特征之间的关联。 1,826名男性和女性参与者在1991年至1992年出生时通过母亲招募到雅芳父母和儿童后代队列纵向研究中，他们在2003年至2005年、2005年至2006年和2006年至2008年到诊所就诊，被纳入≥1次分析。腰部佩戴的单轴加速度计测量了 12 岁、14 岁和 15 岁平均年龄超过 3 天的总活动量（计数/分钟）、MVPA（分钟/天）和静坐时间（分钟/天）。研究人员检查了 15 岁时当前的活动（15 岁时）、不同场合的平均活动、先前活动的相互作用以及活动变化与收缩压和舒张压、胰岛素、C 反应蛋白以及来自目标代谢组学（核磁共振波谱）的 230 个特征（包括脂蛋白胆固醇和甘油三酯、氨基酸和脂肪酸、糖蛋白乙酰基等）的关系。平均当前总活动次数为 477.5 次/分钟 (SD = 164.0)，而平均 MVPA 和静坐时间持续时间分别为 23.6 分钟/天 (SD = 17.9) 和 522.1 分钟/天 (SD = 66.0)。 15 岁时的平均体重指数为 21.4 kg/m2 (SD = 3.5)。第一次和最后一次活动测量时机之间的相关性较低（例如，计数/分钟 r = 0.40）。当前活性与高密度脂蛋白 (HDL) 和极低密度脂蛋白 (VLDL) 颗粒中的胆固醇和甘油三酯（例如，-0.002 mmol/l 或 -0.18 SD 单位；对于乳糜微粒和极大极低密度脂蛋白 [XL VLDL] 中的甘油三酯，95% CI -0.24–-0.11）以及糖蛋白乙酰基相关性最强。 （-0.02 mmol/l 或-0.16 SD 单位；95% CI -0.22–-0.10）等。 3 个场合的平均活动关联相似。根据双能 X 射线吸收测定法 (DXA) 对脂肪质量指数进行调整后，衰减适度。在相互调整的模型中，较高的 MVPA 和久坐时间与 VLDL 和 HDL 颗粒中的胆固醇和甘油三酯呈相反相关（MVPA 与糖蛋白乙酰基的相关性更强，久坐时间与氨基酸的相关性更强）。根据长期测量，久坐时间的关联似乎不如 MVPA 一致，并且对于 12 岁至 15 岁所有活动类型的变化而言，关联性较弱。 15 岁时的活动类型与之前的活动测量之间与大多数性状相关的交互作用的证据也很薄弱（最小 P = 0.003；计数/分钟的中位数 P = 0.26），交互系数大多为正。研究的局限性包括样本量适中、每次加速度测量的持续时间相对较短（3-7天）以及第一次和最后一次加速度测量之间的时间长度（<4年），这可能会掩盖机会变化的模式并限制活动轨迹的描述。还使用单轴加速度计记录活动，该加速度计早于更灵敏的三轴设备。我们的结果支持体力活动与代谢特征之间的关联，这种关联在较高的 MVPA 情况下比较少的久坐时间更显着且幅度较小。活动随着时间的推移而波动，但当前活动与大多数代谢特征的关联并不因之前的活动而有所不同。这表明体力活动对代谢的影响（如果有因果关系）取决于最近的参与情况。 Joshua A Bell 及其同事通过对青少年进行重复测量，研究了生命早期参与身体活动与新陈代谢之间的关系。关于身体活动对人口健康的益处的大部分了解都来自使用一次性活动测量方法的研究。然而，活动会随着时间的推移而波动，这些措施可能无法捕捉长期暴露或描述其真正的健康影响。先前的研究检查了加速计设备记录的体力活动和久坐时间与新陈代谢之间的关系，不仅缺乏重复的活动测量，而且所描述的代谢特征的范围和细节也受到限制。更深入的表型分析可以揭示身体活动可以预防 2 型糖尿病和心脏病的具体途径。我们通过将青春期不同场合下的三个重复加速度测量数据与目标代谢组学数据相结合，研究了身体活动与新陈代谢的关系。这使我们能够比较当前活动、长期活动和活动变化与全身代谢相关详细特征的关联。这也使我们能够了解当前活动与代谢特征的关联是否取决于之前的活动（例如，影响是累积的还是急性的）。我们发现较高的总活性与代谢特征广泛相关，包括高密度脂蛋白（HDL）颗粒中的胆固醇升高、极低密度脂蛋白（VLDL）颗粒中的胆固醇和甘油三酯降低以及炎症糖蛋白乙酰基降低等。与较低的久坐时间相比，较高的中度至剧烈活动的关联程度较小且更为稳健。我们还发现，活动水平随着时间的推移而波动，但当前活动与大多数代谢特征的关联并不因之前的活动而有所不同。较高的体力活动对代谢健康的有益影响，如果是因果关系，而不仅仅是反映身体尺寸的不可测量的方面，则可能更多地是由剧烈活动的时间而不是坐下的时间减少所驱动的。这些影响可能很小且短暂，这意味着需要定期进行体力活动以预防疾病。
Multiple occasions of device-measured physical activity have not been previously examined in relation to metabolic traits. We described associations of total activity, moderate-to-vigorous physical activity (MVPA), and sedentary time from three accelerometry measures taken across adolescence with detailed traits related to systemic metabolism. There were 1,826 male and female participants recruited at birth in 1991–1992 via mothers into the Avon Longitudinal Study of Parents and Children offspring cohort who attended clinics in 2003–2005, 2005–2006, and 2006–2008 who were included in ≥1 analysis. Waist-worn uniaxial accelerometers measured total activity (counts/min), MVPA (min/d), and sedentary time (min/d) over ≥3 d at mean age 12y, 14y, and 15y. Current activity (at age 15y), mean activity across occasions, interaction by previous activity, and change in activity were examined in relation to systolic and diastolic blood pressure, insulin, C-reactive protein, and 230 traits from targeted metabolomics (nuclear magnetic resonance spectroscopy), including lipoprotein cholesterol and triglycerides, amino and fatty acids, glycoprotein acetyls, and others, at age 15y. Mean current total activity was 477.5 counts/min (SD = 164.0) while mean MVPA and sedentary time durations were 23.6 min/d (SD = 17.9) and 522.1 min/d (SD = 66.0), respectively. Mean body mass index at age 15y was 21.4 kg/m2 (SD = 3.5). Correlations between first and last activity measurement occasions were low (e.g., r = 0.40 for counts/min). Current activity was most strongly associated with cholesterol and triglycerides in high-density lipoprotein (HDL) and very low-density lipoprotein (VLDL) particles (e.g., −0.002 mmol/l or −0.18 SD units; 95% CI −0.24–−0.11 for triglycerides in chylomicrons and extremely large very low-density lipoprotein [XL VLDL]) and with glycoprotein acetyls (−0.02 mmol/l or −0.16 SD units; 95% CI −0.22–−0.10), among others. Associations were similar for mean activity across 3 occasions. Attenuations were modest with adjustment for fat mass index based on dual-energy X-ray absorptiometry (DXA). In mutually adjusted models, higher MVPA and sedentary time were oppositely associated with cholesterol and triglycerides in VLDL and HDL particles (MVPA more strongly with glycoprotein acetyls and sedentary time more strongly with amino acids). Associations appeared less consistent for sedentary time than for MVPA based on longer-term measures and were weak for change in all activity types from age 12y–15y. Evidence was also weak for interaction between activity types at age 15y and previous activity measures in relation to most traits (minimum P = 0.003; median P = 0.26 for counts/min) with interaction coefficients mostly positive. Study limitations include modest sample sizes and relatively short durations of accelerometry measurement on each occasion (3–7 d) and of time lengths between first and last accelerometry occasions (<4 years), which can obscure patterns from chance variation and limit description of activity trajectories. Activity was also recorded using uniaxial accelerometers which predated more sensitive triaxial devices. Our results support associations of physical activity with metabolic traits that are small in magnitude and more robust for higher MVPA than lower sedentary time. Activity fluctuates over time, but associations of current activity with most metabolic traits do not differ by previous activity. This suggests that the metabolic effects of physical activity, if causal, depend on most recent engagement. Using repeat measurements in adolescents, Joshua A Bell and colleagues study the relationship between engagement in physical activity and metabolism over time in early life. Much of what is known about the benefits of physical activity for population health comes from studies using one-off measures of activity. Activity fluctuates over time, however, and such measures may not capture longer-term exposure or describe its true health effects. Previous studies examining associations of physical activity and sedentary time as recorded by an accelerometer device with metabolism have not only lacked repeated activity measures but have also been limited in the scope and detail of metabolic traits described. Deeper phenotyping could reveal specific pathways through which physical activity may protect against type 2 diabetes and heart disease. We examined relations of physical activity with metabolism by integrating data from three repeat measures of accelerometry taken on separate occasions across adolescence with data from targeted metabolomics. This allowed us to compare associations of current activity, longer-term activity, and change in activity with detailed traits related to systemic metabolism. This also allowed us to see whether associations of current activity with metabolic traits depend on previous activity (e.g., whether effects are cumulative or acute). We found higher total activity to associate widely across metabolic traits including higher cholesterol in high-density lipoprotein (HDL) particles, lower cholesterol and triglycerides in very low-density lipoprotein (VLDL) particles, and lower inflammatory glycoprotein acetyls, among others. Associations were small in magnitude and more robust for higher moderate-to-vigorous activity than lower sedentary time. We also found that activity levels fluctuate over time but that associations of current activity with most metabolic traits do not differ by previous activity. Beneficial effects of higher physical activity on metabolic health, if causal and not just reflective of unmeasured aspects of body size, may be driven more by time spent intensely active than by less time spent sitting down. These effects are probably small and short lived, meaning that physical activity would need to be engaged in regularly to prevent disease.
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怀孕前体重指数与后代代谢概况的关联：3个欧洲前瞻性出生队列的分析。
影响因子：
15.8
作者：
Santos Ferreira DL;Williams DM;Kangas AJ;Soininen P;Ala-Korpela M;Smith GD;Jarvelin MR;Lawlor DA
通讯作者：
Lawlor DA
影响因子：
120.7
作者：
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通讯作者：
Cooper, Ashley
影响因子：
16.2
作者：
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通讯作者：
InterAct Consortium
DOI：
10.1186/s12966-015-0304-3
发表时间：
2015-12-01
期刊：
The international journal of behavioral nutrition and physical activity
影响因子：
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作者：
Cloostermans L;Wendel-Vos W;Doornbos G;Howard B;Craig CL;Kivimäki M;Tabak AG;Jefferis BJ;Ronkainen K;Brown WJ;Picavet SH;Ben-Shlomo Y;Laukkanen JA;Kauhanen J;Bemelmans WJ
通讯作者：
Bemelmans WJ
影响因子：
24
作者：
Ference BA;Majeed F;Penumetcha R;Flack JM;Brook RD
通讯作者：
Brook RD