Table 2 Mean change in basic emotions related to somatic symptoms in internet-delivered exposure therapy versus healthy lifestyle promotion over 10 weeks.

Outcome	Treatment	Change from pre-treatment to post-treatment
		Within-group change			Difference in change
		est (95% CI)	d	p	est (95% CI)	d	p
Anger	Exposure	− 1.23 (-1.91, -0.55)	0.39	0.000***	0.42 (-0.54, 1.37)	-0.15	0.389
Anger	HLP	-1.64 (-2.32, -0.97)	0.52	0.000***
Disgust	Exposure	-0.75 (-1.25, -0.26)	0.26	0.003**	-0.11 (-0.80, 0.59)	0.05	0.760
Disgust	HLP	-0.65 (-1.13, -0.16)	0.22	0.009**
Fear	Exposure	-0.90 (-1.44, -0.36)	0.31	0.001**	-0.09 (0.85, 0.66)	0.04	0.809
Fear	HLP	-0.80 (-1.33, -0.28)	0.28	0.003**
Joy	Exposure	0.41 (0.07, 0.74)	-0.73	0.019*	0.15 (-0.31, 0.61)	-0.11	0.523
Joy	HLP	0.25 (-0.07, 0.58)	-0.46	0.120
Sadness	Exposure	-2.29 (-3.01, -1.58)	0.71	0.000***	-1.30 (-2.30, -0.30)	0.39	0.011^a
Sadness	HLP	-1.00 (-1.69, -0.30)	0.31	0.005**
Shame	Exposure	− 1.30 (− 1.93, − 0.68)	0.41	0.000***	− 0.45 (− 1.33, 0.42)	0.16	0.311
Shame	HLP	− 0.85 (− 1.47, − 0.24)	0.27	0.007**

Estimates derived from linear mixed effects regression models fitted on mulitply imputed data. The study specific basic emotions questionnaire was administered as a self-report questionnaire via the Internet at the pre-treatment (pre) and post-treatment assessment (post). Standardized within-group effects (ds) were calculated as the negated point estimate for the model-implied change (as listed under “est (95% CI)”), divided by the pre-treatment standard deviation for the entire sample in the non-imputed data. Standardized between-group effects (ds) were calculated as the point estimate for the model-implied difference (as listed under “est (95% CI)”), divided by the endpoint standard deviation for the entire sample in the non-imputed data. Tests of within-group effects not adjusted for multiple testing due to pre-specified specific hypotheses of reductions in each emotion with a negative valence. HLP, healthy lifestyle promotion.
^a Not significant after adjusting for multiple testing.
* p < 0.05, ** p < 0.01, *** p < 0.001.

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