Table 3.

Strength of an Unmeasured confounder needed to change the interpretation of significance for those life events identified as significant^a

	Difference in Prevalence of Unmeasured Confounder between participants experiencing life event and those not experiencing life event.
	0.01	0.1	0.2	0.3	0.5
Wave 2 to Wave 3
Had First Child	β = −30 hrs/wk	β = −3 hrs/wk	β = −1.5 hrs/wk	β = −1 hrs/wk	β = −0.6 hrs/wk
Wave 3 to Wave 4
Had First Child	β = −54 hrs/wk	β = −5.4 hrs/wk	β = −2.7 hrs/wk	β = −1.8 hrs/wk	β = −1.08 hrs/wk
Got Married	β = −44 hrs/wk	β = −4.4 hrs/wk	β = −2.2 hrs/wk	β = −1.47 hrs/wk	β = −0.88 hrs/wk
Left Parental Home	β = −9 hrs/wk	β = −0.9 hrs/wk	β = −0.45 hrs/wk	β = −0.3 hrs/wk	β = −0.18 hrs/wk

^aThe numbers in cells represent the regression coefficient an unmeasured confounder would need to have with MVPA (hrs/wk) to change the significance of the effect estimates for each life event