Impacts of physical activity, sedentary behaviour, and sleep on depression symptoms in Canadian older adults 65 years of age and above: a compositional data analysis of the Canadian Longitudinal Study on Aging

Table 4 Compositional negative binomial regression model estimates for depression symptoms

	Model	MVPA	p-value	LIPA	p-value	SB	p-value	Sleep	p-value
	p-value	exp(\(\gamma\))* (95% CI)	p-value	exp(\(\gamma\))* (95% CI)	p-value	exp(\(\gamma\))* (95% CI)	p-value	exp(\(\gamma\))* (95% CI)	p-value
Unadjusted	p < 0.001	0.92 (0.90, 0.95)	< 0.001	0.98 (0.93, 1.02)	0.32	1.27 (1.21, 1.34)	< 0.001	0.80 (0.72, 0.90)	< 0.001
Adjusted	p < 0.001	0.97 (0.94, 0.99)	0.02	1.04 (0.99, 1.08)	0.08	1.09 (1.04, 1.15)	< 0.001	0.91 (0.85, 0.97)	0.005

Adjusted for age, sex, race, employment status, education level, marital status, smoking status, alcohol consumption, diet quality score, comorbidity burden score, baseline depression symptoms. *Exponential of regression coefficient (\(\upgamma\)). These values represent the proportional unit change in depression symptoms score per unit increase in the associated ilr coordinate, as time allocated to the movement behaviour in the numerator against the geometric mean of the others in the denominator. In these models, only z₁ is interpretable as it contains the relative information for all 24 h movement behaviours (i.e., MVPA, LIPA, SB and sleep). The p-value indicates a statistically significant association between daily movement behaviour and depression symptoms score after accounting for the time spent in the remaining behaviours

ISSN: 2731-4391