Objectively Measured Baseline Physical Activity Patterns in Women in the mPED Trial: Cluster Analysis.
Objectively Measured Baseline Physical Activity Patterns in Women in the mPED Trial: Cluster Analysis.
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DOI：
10.2196/publichealth.9138
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发表时间：
2018-02-01
影响因子：
8.5
通讯作者：
Aswani A
中科院分区：
文献类型：
--
作者：
Fukuoka Y;Zhou M;Vittinghoff E;Haskell W;Goldberg K;Aswani A
确定一天中的身体活动模式可以帮助制定更个性化的干预措施或身体活动指南，特别是对于那些不太可能比男性进行身体活动的女性。本报告的目的是根据加速度计测量的基线原始代谢当量（MET）值和MET ≥3数据的标准化版本来识别女性集群，并比较这些识别出的集群之间的社会人口学和心脏代谢风险。共215名女性入组了基于移动的电话的体育活动教育（mPED）试验，并在随机化访视前7天每天佩戴加速计至少8小时。对数据使用了k均值聚类方法和Lloyd算法。我们使用手肘方法来选择聚类的数量，查看解释为聚类数量的函数的方差百分比。原始MET的k-means聚类分析的结果揭示了三个不同的聚类。与下午忙碌组（n=65）和上午忙碌组（n=48）相比，未忙碌组（n=102）的抑郁症状评分最高（总体P<.001）。基于MET ≥3数据的标准化版本，中等至剧烈体力活动（MVPA）晚上高峰组（n=108）的体重指数（P=.03）、腰围（P=.02）和臀围（P=.03）高于MVPA中午高峰组（n=61）。将身体不活跃的人分类为更具体的活动模式可以帮助创建时间，频率，持续时间和强度的身体活动干预妇女。需要进一步的研究，以确认这些集群组使用一个大型的国家数据集。ClinicalTrials.gov NCT 01280812; https://clinicaltrials.gov/ct2/show/NCT01280812（由WebCite存档，网址：http：//www.webcitation.org/6vVyLzwft）
Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or physical activity guidelines in general and, in particular, for women who are less likely to be physically active than men. The aims of this report are to identify clusters of women based on accelerometer-measured baseline raw metabolic equivalent of task (MET) values and a normalized version of the METs ≥3 data, and to compare sociodemographic and cardiometabolic risks among these identified clusters. A total of 215 women who were enrolled in the Mobile Phone Based Physical Activity Education (mPED) trial and wore an accelerometer for at least 8 hours per day for the 7 days prior to the randomization visit were analyzed. The k-means clustering method and the Lloyd algorithm were used on the data. We used the elbow method to choose the number of clusters, looking at the percentage of variance explained as a function of the number of clusters. The results of the k-means cluster analyses of raw METs revealed three different clusters. The unengaged group (n=102) had the highest depressive symptoms score compared with the afternoon engaged (n=65) and morning engaged (n=48) groups (overall P<.001). Based on a normalized version of the METs ≥3 data, the moderate-to-vigorous physical activity (MVPA) evening peak group (n=108) had a higher body mass index (P=.03), waist circumference (P=.02), and hip circumference (P=.03) than the MVPA noon peak group (n=61). Categorizing physically inactive individuals into more specific activity patterns could aid in creating timing, frequency, duration, and intensity of physical activity interventions for women. Further research is needed to confirm these cluster groups using a large national dataset. ClinicalTrials.gov NCT01280812; https://clinicaltrials.gov/ct2/show/NCT01280812 (Archived by WebCite at http://www.webcitation.org/6vVyLzwft)
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影响因子：
4.6
作者：
Azevedo, Mario Renato;Pavin Araujo, Cora Luiza;Reichert, Felipe Fossati;Siqueira, Fernando Vinholes;da Silva, Marcelo Cozzensa;Hallal, Pedro Curi
通讯作者：
Hallal, Pedro Curi
影响因子：
2.7
作者：
Loprinzi, Paul D.;Cardinal, Bradley J.
通讯作者：
Cardinal, Bradley J.
DOI：
10.1046/j.1532-5415.2003.51465.x
发表时间：
2003-10-01
影响因子：
6.3
作者：
Borson, S;Scanlan, JM;Ganguli, M
通讯作者：
Ganguli, M
影响因子：
5
作者：
FORD, ES;MERRITT, RK;HAILE, G
通讯作者：
HAILE, G
DOI：
10.1186/s12966-015-0183-7
发表时间：
2015-02-15
影响因子：
8.7
作者：
Evenson, Kelly R.;Wen, Fang;Herring, Amy H.
通讯作者：
Herring, Amy H.