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Mediation

The mediation analysis indicates that RDSAT significantly predicts both AA and ED, which in turn significantly predict mental health (MH). The direct effect of RDSAT on MH becomes non-significant when accounting for AA and ED, suggesting that the relationship is fully mediated by these factors. Specifically, ED plays a strong mediating role, while AA does not significantly contribute to the link between RDSAT and MH.

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0% found this document useful (0 votes)
30 views1 page

Mediation

The mediation analysis indicates that RDSAT significantly predicts both AA and ED, which in turn significantly predict mental health (MH). The direct effect of RDSAT on MH becomes non-significant when accounting for AA and ED, suggesting that the relationship is fully mediated by these factors. Specifically, ED plays a strong mediating role, while AA does not significantly contribute to the link between RDSAT and MH.

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Sadia
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Table 1: Mediation Effects of RDSAT on MH through AA and ED

Effects Paths Effect Boot 95% CI (LL,


(B) SE UL)
Direct effect (without RDSAT → MH — — —
mediator)
Indirect effects (with RDSAT → AA -0.53 0.02 [-0.56, -0.49]
mediator)
RDSAT → ED -4.09 0.07 [-4.22, -3.95]
AA → MH -0.87 0.25 [-1.37, -0.37]
ED → MH -0.87 0.06 [-0.99, -0.74]
Direct effect (with RDSAT → MH -0.15 0.22 [-0.58, 0.29]
mediator)
Specific indirect effects RDSAT → AA → MH 0.46 0.34 [-0.26, 0.86]
RDSAT → ED → MH 3.54 0.28 [3.03, 4.13]
Note: Confidence intervals based on 5,000 bootstrap samples.
This mediation analysis explored whether AA and ED mediate the relationship between RDSAT
and MH. The results showed that RDSAT significantly predicted AA (B = -0.53, SE = 0.02, 95%
CI [-0.56, -0.49]) and ED (B = -4.09, SE = 0.07, 95% CI [-4.22, -3.95]). In turn, both AA (B = -
0.87, SE = 0.25, 95% CI [-1.37, -0.37]) and ED (B = -0.87, SE = 0.06, 95% CI [-0.99, -0.74])
significantly predicted MH. These results confirm that both mediators are influenced by RDSAT
and also influence mental health. However, after including AA and ED in the model, the direct
effect of RDSAT on MH was no longer significant (B = -0.15, SE = 0.22, 95% CI [-0.58, 0.29]),
indicating that the relationship between RDSAT and MH is fully explained by the mediators
rather than by a direct link.
Looking at the specific indirect effects, the pathway through ED was significant (B = 3.54, SE =
0.28, 95% CI [3.03, 4.13]), showing that ED plays a strong mediating role. On the other hand,
the indirect effect through AA was not significant (B = 0.46, SE = 0.34, 95% CI [-0.26, 0.86]),
meaning AA does not significantly explain the link between RDSAT and MH. Overall, the total
indirect effect of RDSAT on MH through AA and ED combined was significant (B = 4.00, SE =
0.27, 95% CI [3.40, 4.43]), confirming that the relationship between RDSAT and mental health is
mainly explained through indirect pathways especially via ED. This suggests that efforts to
improve mental health outcomes related to RDSAT should focus more on factors associated with
ED rather than AA.

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