Table 4.

Results of linear mixed-effects models predicting total WEMWBS and global PSQI using an indicative subset of actigraphy measures.

Y	Variables	Model coef.	95% CI	t-statistic	p-value
Total WEMWBS = f(actigraphy)	(intercept)	28.407	[− 3.004, 59.818]	1.778	0.076
	Gender_1	− 1.3	[− 3.729, 1.128]	− 1.053	0.293
	Age	0.385	[− 0.168, 0.938]	1.368	0.172
	Day into study	0	[− 0.004, 0.005]	0.205	0.837
	Work sector: manufacturing	0.58	[− 4.605, 5.764]	0.22	0.826
	Work sector: social care	− 1.837	[− 7.007, 3.334]	− 0.698	0.485
	Work sector: finance	− 1.749	[− 5.231, 1.734]	− 0.987	0.324
	Sedentary min_m3	− 0.867	[− 1.467, − 0.266]	− 2.838	0.005
	M10 m7	− 12.402	[− 40.863, 16.058]	− 0.857	0.392
	RA m7	23.233	[3.680, 42.786]	2.336	0.020
	IS1 m7	13.52	[− 2.100, 29.139]	1.702	0.090
	IV1 m7	7.359	[1.109, 13.609]	2.315	0.021
	Sleep duration_m7	− 35.616	[− 61.888, − 9.343]	− 2.665	0.008
	Sleep efficiency_m7	− 1.663	[− 3.283, − 0.043]	− 2.018	0.044
	Sleep onset phase_v7	0.263	[− 0.285, 0.812]	0.944	0.346
	Awakenings total_minutes_v7	1.214	[0.056, 2.372]	2.062	0.040
	Sleep duration_v7	1.439	[− 6.731, 9.609]	0.346	0.729
	Sleep efficiency_v7	− 5.264	[− 7.979, − 2.549]	− 3.812	< 0.001
Global PSQI = f(actigraphy)	(intercept)	10.943	[− 2.410, 24.296]	1.612	0.108
	Gender_1	0.133	[− 0.905, 1.171]	0.252	0.801
	Age	− 0.0600	[− 0.293, 0.173]	− 0.508	0.612
	Day into study	0.00100	[− 0.001, 0.003]	0.914	0.362
	Work sector: manufacturing	2.675	[0.423, 4.927]	2.337	0.020
	Work sector: social care	− 1.068	[− 3.273, 1.136]	− 0.953	0.341
	Work sector: finance	− 1.451	[− 2.935, 0.032]	− 1.925	0.055
	M10_m3	− 5.76	[− 15.544, 4.025]	− 1.158	0.248
	Sleep duration_m3	6.873	[− 4.808, 18.555]	1.158	0.248
	Sleep efficiency_m3	− 0.357	[− 0.615, − 0.099]	− 2.724	0.007
	Sleep onset phase_v3	0.267	[0.074, 0.461]	2.714	0.007
	Awakenings total_minutes_v3	0.329	[− 0.227, 0.885]	1.164	0.245
	Sleep duration_v3	1.183	[− 0.546, 2.912]	1.346	0.179
	Sleep efficiency_v3	− 1.508	[− 3.307, 0.290]	− 1.65	0.100

CI stands for Confidence Interval. See the subsection ‘Linear mixed-effects models’ in the “Methods” section for the generic mixed-effects model formula and further details. The actual variables used in the models are presented in the second column of the Table. Bold entries indicate statistical significance at the p = 0.05 level; for convenience we followed the convention that low computed p-values were marked as < .001. See the “Questionnaires_in_SHAW.xlsx” supplementary file for details of each item. The total WEMWBS lies in the range 14–70, higher being better; the global PSQI lies in the range 0–21, lower being better.