Do sociodemographic variables and cardiometabolic risk factors moderate the mere-measurement effect on physical activity and sedentary time?

Table 2 Results of linear regression analyses for sociodemographic characteristics separately for women (n = 112) and men (n = 63)

	Leisure-time physical activity ∆ (MET-hours per week)		Transport-related physical activity ∆ (MET-hours per week)		Sedentary time ∆ (minutes per week)
	Women	Men	Women	Men	Women	Men
	b [95% CI]	b [95% CI]	b [95% CI]	b [95% CI]	b [95% CI]	b [95% CI]
Age (years)	0.7 [−0.3; 1.7]	0.5 [− 0.9; 1.8]	0.5 [− 0.2; 1.2]	0.8 [− 0.3; 1.9]	0.8 [−34.0; 35.5]	− 10.8 [−68.1; 46.5]
Age squared	–	–	–	–	− 6.5 [− 13.4; 0.3]⁺	–
Employment (Ref. yes)	3.8 [− 12.5; 20.0]	13.6 [−18.8; 45.9]	1.7 [−9.7; 13.1]	−2.1 [− 25.1; 20.8]	−81.6 [− 583.6; 420.4]	421.2 [− 374.6; 1217.1]

Five-week changes are calculated as follow-up value minus baseline value. Results are based on multiply imputed data. Coefficients were adjusted for all other variables shown in the table, duration to follow-up, and baseline value of leisure-time physical activity, transport-related physical activity, or sedentary time, respectively
∆ Five-week change, MET metabolic equivalent of task, b unstandardized regression coefficient, CI confidence interval; − not included
⁺P < .10; based on robust standard errors

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