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Mediation analyses are limited by a series of assumptions, including that there is no unmeasured confounding.
Note: Only significant mediation analyses are shown in the table, *p < 0.05, **p < 0.01.
The results of the mediation analyses are shown in Fig. 1.
Step 1, 2 and 3 of the mediation analyses are explained in Fig. 1.
The mediation analyses are considered exploratory since the power to find a significant mediation effect is small due to the relatively small sample size and missing data.
Of course, these mediation analyses are statistical in nature, and our cross-sectional design does not allow for investigation of causality in any way.
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Using a cross-sectional design, ordinary least squares regression and bootstrapping mediation analyses were used to test whether self-stigma mediated the relationship between perceived public stigma and psychosocial outcomes and whether this mediating process was moderated by diagnostic status.
Mediation analyses were undertaken for violence as the potentially mediating or explanatory variable for the Black Caribbean group (Fig. 2).
Mediation analyses were used to test the hypothesis that ghrelin mediates the effect of depression (or of anxiety) on BMI in migraineurs (and separately for the control group for comparison purposes).
Mediation analyses were conducted using bootstrapping procedures to assess the mediational role of depression between HEE-C and fatigue severity.
Mediation analyses were computed for negative affect prior to sexual stimuli (mediator) in the relationship between schemas (independent variable) and (1) Arousal-function, (2) Satisfaction, (3) VPA, and (4) SSA (dependent variables).
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