Accepted Manuscript Association between actigraphic sleep metrics and body composition Michael D. Wirth, MSPH, PhD, James R. Hébert, MSPH, ScD, Gregory A. Hand, PhD, Shawn D. Youngstedt, PhD, Thomas G. Hurley, MS, Robin P. Shook, PhD, Amanda E. Paluch, PhD, Xuemei Sui, MD, MPH, PhD, Shelli L. James, Steven N. Blair, PED PII:

S1047-2797(15)00185-4

DOI:

10.1016/j.annepidem.2015.05.001

Reference:

AEP 7819

To appear in:

Annals of Epidemiology

Received Date: 29 January 2015 Revised Date:

17 April 2015

Accepted Date: 4 May 2015

Please cite this article as: Wirth MD, Hébert JR, Hand GA, Youngstedt SD, Hurley TG, Shook RP, Paluch AE, Sui X, James SL, Blair SN, Association between actigraphic sleep metrics and body composition, Annals of Epidemiology (2015), doi: 10.1016/j.annepidem.2015.05.001. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

ACCEPTED MANUSCRIPT

Association between actigraphic sleep metrics and body composition

2

Michael D. Wirth MSPH, PhDa,b, James R. Hébert MSPH, ScDa,b, Gregory A. Hand PhDc,

3

Shawn D. Youngstedt PhDd,e, Thomas G. Hurley MSa, Robin P. Shook PhDf, Amanda E. Paluch

4

PhDg, Xuemei Sui, MD, MPH, PhDg, Shelli L. Jamesc, Steven N. Blair PEDb,g

RI PT

1

5 6

a

7

Carolina, 915 Greene Street, Columbia, SC 29208. bDepartment of Epidemiology and

8

Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208.

9

c

SC

South Carolina Statewide Cancer Prevention and Control Program, University of South

M AN U

Department of Epidemiology, West Virginia University, One Medical Center Drive, P.O. Box

9190, Morgantown, WV 26506. dCollege of Nursing and Health Innovation, Arizona State

11

University, 550 N. 3rd Street, Phoenix, AZ 85004. eCollege of Health Solutions, Arizona State

12

University, 550 N. 3rd Street, Phoenix, AZ 85004. fDepartment of Kinesiology, Iowa State

13

University, 235 Forker Building, Ames, IA 50011. gDepartment of Exercise Science, University

14

of South Carolina, 921 Assembly Street, Columbia, SC 29208.

16 17

Running Head: Actigraphic sleep and body composition

EP

15

TE D

10

Corresponding Author: Michael D. Wirth, MSPH, PhD, Cancer Prevention and Control

19

Program, University of South Carolina, 915 Greene Street, Room 233, Columbia, SC 29208.

20

Phone: (803) 576-5646. Fax: (803) 576-5624. Email: [email protected]

21 22

AC C

18

MARKED MANUSCRIPT

1

ACCEPTED MANUSCRIPT

Abstract

24

Purpose: Determine if individuals with poor sleep characteristics (i.e., late sleep onset or wake

25

times, short sleep duration, long sleep latency, low sleep efficiency, high wake-after-sleep-onset

26

[WASO]) have greater body mass index (BMI=kg/m2) or body fat.

27

Methods: Data for these cross-sectional analyses were from the Energy Balance Study

28

(University of South Carolina). Participants were between 21 and 35 years of age and had a BMI

29

of 20-35 kg/m2. Body fat percent was measured by dual X-ray absorptiometry. Sleep and

30

physical activity were measured by actigraphy (BodyMedia’s SenseWear® physical activity

31

armband). General linear models were used to estimate mean BMI and body fat percent by sleep

32

metric categories.

33

Results: Greater BMI and body fat percent were associated with low sleep efficiency (BMI=25.5

34

vs. 24.8kg/m2, p