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. Author manuscript; available in PMC: 2019 Aug 14.
Published in final edited form as: J Soc Clin Psychol. 2019 Jun;38(6):451–474. doi: 10.1521/jscp.2019.38.6.451

Table 2.

Correlations among emotion regulation strategy use and mood

Emotion Regulation Strategy Frequency
of Use
n (%)
1 2 3 4 5 6 7 8 9 10 11

1. Acceptance 332 (60.3%)
2. Positive Refocusing 166 (30.1%) .34**
3. Reappraisal 157 (28.5%) .29** .43**
4. Problem-Solving 278 (50.5%) .36** .24** .33**
5. Behavioral Activation 308 (55.9%) .30** .29** .22** .21**
6. Sleep 127 (23.0%) .04 .08 .01 .03 < .01
7. Consequences 238 (43.2%) −.12 −.06 .20** .09 .02 .03
8. Emotional Suppression 104 (18.9%) .09 .27** .12 .06 .10 .09 −.14
9. Other-Blame 196 (35.6%) −.22** −.01 .05 −.23** .08 −.15 .22** −.04
10. Generalizing 212 (38.5%) −.11 −.03 .28** .07 .13 .02 .67** .02 .34**
11. Substance Use 90 (16.3%) −.10 −.13 .15 −.06 −.08 .27** .35** .13 .32** .41**
12. Mood 61.33 (20.82) .27** .17** .07 .13** .10* −.10* −.18** −.05 −.13** −.27** −.21**

Note. Correlations among emotion regulation strategies are polychoric correlations because these variables are binary (0 = not used, 1 = used). Correlations between emotion regulation strategies and mood are Pearson product-moment correlations because mood is continuous (0–100). Frequency of use indicates the number of times each strategy was reported by any participant across all occasions. Percentages do not add to 100 because participants could report the use of multiple strategies at any given occasion.

M (SD).

*

p < .05,

**

p < .01.