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Review

Positive but not negative affect is associated with increased daily drinking likelihood in non-clinical populations: systematic review and meta-analyses

ORCID Icon, ORCID Icon, & ORCID Icon
Pages 382-396 | Received 10 Feb 2022, Accepted 23 May 2022, Published online: 29 Jun 2022

Figures & data

Table 1. Summary of the studies.

Figure 1. Flowchart of the study selection process.

Figure 1. Flowchart of the study selection process.

Table 2. Effect size summary.

Figure 2. Forest plot of studies examining the relationship between daily negative affect and odds of alcohol consumption. No significant association is observed between daily negative affect and odds of alcohol consumption.

Figure 2. Forest plot of studies examining the relationship between daily negative affect and odds of alcohol consumption. No significant association is observed between daily negative affect and odds of alcohol consumption.

Figure 3. Forest plot of studies examining the relationship between daily negative affect and odds of alcohol consumption. Increased positive affect is associated with higher odds of drinking.

Figure 3. Forest plot of studies examining the relationship between daily negative affect and odds of alcohol consumption. Increased positive affect is associated with higher odds of drinking.

Figure 4. P-Curve analysis of studies examining the relationship between daily positive affect and odds of alcohol consumption. Most of the significant results were significant at p = .01 level, suggesting that the results are unlikely to be the product of publication bias or p-hacking alone. Note: the observed p−curve includes 8 statistically significant (p < .05) results, of which 6 are p < .025. There were 6 additional results entered but excluded from p−curve because they were p > .05.

Figure 4. P-Curve analysis of studies examining the relationship between daily positive affect and odds of alcohol consumption. Most of the significant results were significant at p = .01 level, suggesting that the results are unlikely to be the product of publication bias or p-hacking alone. Note: the observed p−curve includes 8 statistically significant (p < .05) results, of which 6 are p < .025. There were 6 additional results entered but excluded from p−curve because they were p > .05.
Supplemental material

Supplementary_materials.docx

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