Behavioral Periodicity Detection from 24 h Wrist Accelerometry and Associations with Cardiometabolic Risk and Health-Related Quality of Life
المؤلفون المشاركون
Buman, Matthew P.
Hu, Feiyan
Newman, Eamonn
Smeaton, Alan F.
Epstein, Dana R.
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-01-31
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Periodicities (repeating patterns) are observed in many human behaviors.
Their strength may capture untapped patterns that incorporate sleep, sedentary, and active behaviors into a single metric indicative of better health.
We present a framework to detect periodicities from longitudinal wrist-worn accelerometry data.
GENEActiv accelerometer data were collected from 20 participants (17 men, 3 women, aged 35–65) continuously for 64.4±26.2 (range: 13.9 to 102.0) consecutive days.
Cardiometabolic risk biomarkers and health-related quality of life metrics were assessed at baseline.
Periodograms were constructed to determine patterns emergent from the accelerometer data.
Periodicity strength was calculated using circular autocorrelations for time-lagged windows.
The most notable periodicity was at 24 h, indicating a circadian rest-activity cycle; however, its strength varied significantly across participants.
Periodicity strength was most consistently associated with LDL-cholesterol (r’s = 0.40–0.79, P’s < 0.05) and triglycerides (r’s = 0.68–0.86, P’s < 0.05) but also associated with hs-CRP and health-related quality of life, even after adjusting for demographics and self-rated physical activity and insomnia symptoms.
Our framework demonstrates a new method for characterizing behavior patterns longitudinally which captures relationships between 24 h accelerometry data and health outcomes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Buman, Matthew P.& Hu, Feiyan& Newman, Eamonn& Smeaton, Alan F.& Epstein, Dana R.. 2016. Behavioral Periodicity Detection from 24 h Wrist Accelerometry and Associations with Cardiometabolic Risk and Health-Related Quality of Life. BioMed Research International،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1097924
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Buman, Matthew P.…[et al.]. Behavioral Periodicity Detection from 24 h Wrist Accelerometry and Associations with Cardiometabolic Risk and Health-Related Quality of Life. BioMed Research International No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1097924
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Buman, Matthew P.& Hu, Feiyan& Newman, Eamonn& Smeaton, Alan F.& Epstein, Dana R.. Behavioral Periodicity Detection from 24 h Wrist Accelerometry and Associations with Cardiometabolic Risk and Health-Related Quality of Life. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1097924
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1097924
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر