Indirect Effects
Regarding the indirect effects, oral hygiene beliefs were
posited to be associated with oral health status both directly
and indirectly through toothbrushing frequency. In the path
analysis model, toothbrushing frequency did mediate the effect
of oral hygiene beliefs on oral health status. The indirect
effect of perceived severity on oral health status, exerted
through toothbrushing frequency, was equal to B = –.13, SE
= .05 (p < .05), which led to the rejection of the null hypothesis
that the particular indirect effect was zero. Furthermore,
the indirect effect of self-efficacy on oral health status, exerted
through toothbrushing frequency was significant and
equal to B = –.24, SE = .07 (p < .01). Most of the standard
errors of the unstandardized parameter estimates were small,
indicating that the values of the model parameters had been
estimated accurately.
Toothbrushing frequency was a significant partial mediator
of the oral-hygiene beliefs–oral health status relationship.
Thus, greater perceived severity of oral disease, and stronger
self-efficacy beliefs were related to greater toothbrushing
frequency, which in turn was associated with lower DMFT
scores (signifying better oral health). The stability index of
the model was equal to .23. Since this index was less than
1, the model was stable and the total effects were finite. The
proportion of variation in toothbrushing frequency accounted
for by the variables in the structural equations was quite satisfactory
(R2 = .90). The corresponding proportion for oral
health status (DMFT index) was satisfactory too (R2 = .62).
Indirect Effects
Regarding the indirect effects, oral hygiene beliefs were
posited to be associated with oral health status both directly
and indirectly through toothbrushing frequency. In the path
analysis model, toothbrushing frequency did mediate the effect
of oral hygiene beliefs on oral health status. The indirect
effect of perceived severity on oral health status, exerted
through toothbrushing frequency, was equal to B = –.13, SE
= .05 (p < .05), which led to the rejection of the null hypothesis
that the particular indirect effect was zero. Furthermore,
the indirect effect of self-efficacy on oral health status, exerted
through toothbrushing frequency was significant and
equal to B = –.24, SE = .07 (p < .01). Most of the standard
errors of the unstandardized parameter estimates were small,
indicating that the values of the model parameters had been
estimated accurately.
Toothbrushing frequency was a significant partial mediator
of the oral-hygiene beliefs–oral health status relationship.
Thus, greater perceived severity of oral disease, and stronger
self-efficacy beliefs were related to greater toothbrushing
frequency, which in turn was associated with lower DMFT
scores (signifying better oral health). The stability index of
the model was equal to .23. Since this index was less than
1, the model was stable and the total effects were finite. The
proportion of variation in toothbrushing frequency accounted
for by the variables in the structural equations was quite satisfactory
(R2 = .90). The corresponding proportion for oral
health status (DMFT index) was satisfactory too (R2 = .62).
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