Variation in actigraphy-estimated rest-activity patterns by demographic factors.
Variation in actigraphy-estimated rest-activity patterns by demographic factors.
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DOI：
10.1080/07420528.2017.1337032
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发表时间：
2017
影响因子：
2.8
通讯作者：
Kerr J
中科院分区：
文献类型：
--
作者：
Mitchell JA;Quante M;Godbole S;James P;Hipp JA;Marinac CR;Mariani S;Cespedes Feliciano EM;Glanz K;Laden F;Wang R;Weng J;Redline S;Kerr J
休息-活动模式提供了自由生活环境中昼夜节律的指示。我们的目的是描述成人和儿童样本中不同人口变量的休息-活动模式的分布。成人（N=590）和儿童（N=58）在他们的非惯用手腕上佩戴活动记录仪7天7夜。我们通过余弦分析（MESOR、顶相和幅度）和非参数昼夜节律分析（IS：日内稳定性；IV：日间变动性；L5：最不活跃的5小时周期；M10：最活跃的10小时周期；RA：相对振幅）生成了休息-活动模式。人口统计变量包括年龄、性别、种族、教育程度、婚姻状况和收入。线性混合效应模型用于检验休息-活动模式的人口统计学差异。与年幼的儿童相比，青少年有：1)M10中点（β=1.12小时[95% CI: 0.43, 1.18]）较晚，M10活动水平较低；2)L5中点（β=1.6小时[95% CI: 0.9, 2.3]）较晚，L5活动水平较低；3)不规律的休息-活动模式（低IS和高IV）；4)较低的震级（β= - 0.95 [95% CI: - 1.28, - 0.63]）和相对振幅（β= - 0.1 [95% CI: - 0.14, - 0.06]）。与年轻人（18 - 29岁）相比，中老年人有：1)M10中点较早（β= - 1.0小时[95% CI: - 1.6, - 0.4]）； 2) L5中点较早（β= - 0.7小时[95% CI: - 1.2, - 0.2]）；3)更规律的休息-活动模式（高IS和低IV）。大小和相对幅度在成人年龄类别中是相似的。还观察到性别、种族和教育水平的休息活动差异。休息-活动模式在人的一生中各不相同，而且因种族、性别和教育程度而异。了解这些模式中的人口变化为进一步阐明整个生命周期中休息-活动模式对健康的影响提供了基础。
Rest-activity patterns provide an indication of circadian rhythmicity in the free-living setting. We aimed to describe the distributions of rest-activity patterns in a sample of adults and children across demographic variables. A sample of adults (N=590) and children (N=58) wore an actigraph on their non-dominant wrist for 7 days and nights. We generated rest-activity patterns from cosinor analysis (MESOR, acrophase and magnitude) and non-parametric circadian rhythm analysis (IS: intradaily stability; IV: interdaily variability; L5: least active 5-hour period; M10: most active 10-hour period; and RA: relative amplitude). Demographic variables included age, sex, race, education, marital status, and income. Linear mixed effects models were used to test for demographic differences in rest-activity patterns. Adolescents, compared to younger children, had: 1) later M10 midpoints (β=1.12 hours [95% CI: 0.43, 1.18] and lower M10 activity levels; 2) later L5 midpoints (β=1.6 hours [95% CI: 0.9, 2.3]) and lower L5 activity levels; 3) less regular rest-activity patterns (lower IS and higher IV); and 4) lower magnitudes (β=−0.95 [95% CI: −1.28, −0.63]) and relative amplitudes (β=−0.1 [95% CI: −0.14, −0.06]). Mid-to-older adults, compared to younger adults (ages 18 to 29 years), had: 1) earlier M10 midpoints (β=−1.0 hours [95% CI: −1.6, −0.4]; 2) earlier L5 midpoints (β=−0.7 hours [95% CI: −1.2, −0.2]); and 3) more regular rest-activity patterns (higher IS and lower IV). The magnitudes and relative amplitudes were similar across the adult age categories. Sex, race and education level rest-activity differences were also observed. Rest-activity patterns vary across the lifespan, and differ by race, sex and education. Understanding population variation in these patterns provides a foundation for further elucidating the health implications of rest-activity patterns across the lifespan.
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DOI：
10.1249/mss.0000000000001124
发表时间：
2017-03-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Kerr, Jacqueline;Marinac, Catherine R.;Berrigan, David
通讯作者：
Berrigan, David
影响因子：
2.8
作者：
Pati, Atanu Kumar;Parganiha, Arti;Choudhary, Vivek
通讯作者：
Choudhary, Vivek
昼夜节律的代谢和能量学的融合。
DOI：
10.1126/science.1195027
发表时间：
2010-12-03
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Bass J;Takahashi JS
通讯作者：
Takahashi JS
影响因子：
4.9
作者：
Bandin, C.;Martinez-Nicolas, A.;Garaulet, M.
通讯作者：
Garaulet, M.
影响因子：
9.1
作者：
Burgard, Sarah A.;Ailshire, Jennifer A.
通讯作者：
Ailshire, Jennifer A.