Specific physical activities, sedentary behaviours and sleep as long-term predictors of accelerometer-measured physical activity in 91,648 adults: a prospective cohort study

Kim, Youngwon; Wijndaele, Katrien; Sharp, Stephen J.; Strain, Tessa; Pearce, Matthew; White, Tom; Wareham, Nick; Brage, Soren

doi:10.1186/s12966-019-0802-9

International Journal of Behavioral Nutrition and Physical Activity

Table 2 Associations of behavioral constructs at baseline with the log of average acceleration levels (milli-g) at follow-up in women

From: Specific physical activities, sedentary behaviours and sleep as long-term predictors of accelerometer-measured physical activity in 91,648 adults: a prospective cohort study

Exposures	Categories	Model 1	Model 2	Model 3
MVPA		0.0005 (0.0004, 0.0005)	0.0004 (0.0004, 0.0004)	0.0004 (0.0004, 0.0004)
Walking for pleasure		0.0014 (0.0013, 0.0015)	0.0014 (0.0013, 0.0015)	0.0011 (0.0010, 0.0012)
Strenuous sports		0.0045 (0.0042, 0.0047)	0.0030 (0.0027, 0.0032)	0.0019 (0.0017, 0.0022)
Other exercises		0.0027 (0.0026, 0.0029)	0.0021 (0.0019, 0.0022)	0.0015 (0.0013, 0.0016)
Light DIY activities		0.0005 (0.0004, 0.0006)	0.0006 (0.0005, 0.0007)	0.0002 (0.0001, 0.0003)
Heavy DIY activities		0.0013 (0.0011, 0.0015)	0.0013 (0.0011, 0.0015)	0.0008 (0.0006, 0.0009)
Heavy physical work at work		0.0008 (0.00077, 0.00092)	0.0005 (0.00047, 0.00060)	0.00050 (0.00039, 0.00061)
Walking/standing at work		0.0004 (0.00039, 0.00045)	0.0002 (0.00019, 0.00026)	−0.0001 (−0.00005, 0.0003)
Sedentary time at work		0.0001 (0.00008, 0.00012)	−0.0002 (− 0.00026, − 0.00022)	−0.0002 (− 0.00026, − 0.00020)
Getting about method	Car or public transportation	(Reference)	(Reference)	(Reference)
	Mixed use	0.0379 (0.0328, 0.0428)	0.0256 (0.0211, 0.0303)	0.0071 (0.0025, 0.0117)
	Walking or cycling	0.0911 (0.0822, 0.0999)	0.0540 (0.0458, 0.0622)	0.0221 (0.0140, 0.0303)
Commuting method	Car or public transportation	(Reference)	(Reference)	(Reference)
	Mixed use	0.0876 (0.0794, 0.0958)	0.0305 (0.0227, 0.0383)	0.0249 (0.0173, 0.0325)
	Walking or cycling	0.1156 (0.1047, 0.1265)	0.0532 (0.0430, 0.0635)	0.0345 (0.0243, 0.0446)
TV viewing		−0.0416 (−0.0432, −0.0401)	−0.0204 (− 0.0219, − 0.0188)	−0.0191 (− 0.0206, − 0.0176)
Computer use		−0.0219 (− 0.0238, − 0.0199)	−0.0176 (− 0.0194, − 0.0159)	−0.0172 (− 0.0190, − 0.0154)
Sleep	≤5.0 h/day	− 0.0627 (− 0.0754, − 0.0501)	− 0.0156 (− 0.0272, − 0.0040)	−0.0134 (− 0.0247, − 0.0019)
	6.0 h/day	− 0.0280 (− 0.0348, − 0.0212)	−0.0082 (− 0.0144, − 0.0020)	−0.0063 (− 0.0124, − 0.0002)
	7.0 h/day	(Reference)	(Reference)	(Reference)
	8.0 h/day	− 0.0264 (− 0.0321, − 0.0207)	−0.0213 (− 0.0265, − 0.0161)	−0.0210 (− 0.0261, − 0.0159)
	≥9.0 h/day	− 0.1051 (− 0.1152, − 0.0951)	−0.0738 (− 0.0831, − 0.0645)	−0.0688 (− 0.0779, − 0.0597)

Model 1: No adjustment
Model 2: Adjustment for age, body mass index, ethnicity, smoking status, employment status, differences in time between baseline and accelerometry protocol, accelerometry wear time, season of accelerometer wear (two orthogonal sine functions), severe medical conditions and grip strength
Model 3: Adjustment for all covariates included in Model 2 plus mutual adjustment for each other. Information about model adjustment is provided in greater detail in Additional file 1: Table S1
Note: The beta coefficients and 95% confidence intervals (values in parentheses) are reported on a log scale. Abbreviations: DIY Do-It-Yourself, MVPA moderate-to-vigorous physical activity, SD Standard Deviation

Back to article page

ISSN: 1479-5868

Contact us

Submission enquiries: Access here and click Contact Us
General enquiries: info@biomedcentral.com