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Influence of Maternal Prenatal Vitamin D Status on Infant Oral Health

Influence of Maternal Prenatal Vitamin D Status on Infant Oral Health

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Table 5.16 – Logistic regressi<strong>on</strong> for ECC* (excluding white spot lesi<strong>on</strong>s) – <strong>Infant</strong> feeding<br />

practices and soother use<br />

Variable Regressi<strong>on</strong><br />

Coefficient<br />

(b)<br />

Standard<br />

Error b<br />

Standard<br />

Deviati<strong>on</strong><br />

<str<strong>on</strong>g>of</str<strong>on</strong>g><br />

Variable<br />

in<br />

Adjusted<br />

Odds<br />

Ratio<br />

± 95%<br />

C<strong>on</strong>fidence<br />

Interval<br />

P value<br />

Age solids<br />

introduced<br />

(m<strong>on</strong>ths)<br />

<strong>Infant</strong><br />

Feeding<br />

(Bottle)<br />

(reference:<br />

mixed)<br />

<strong>Infant</strong><br />

Feeding<br />

(Breast)<br />

(reference:<br />

mixed)<br />

Soother use<br />

(reference: no)<br />

Sample<br />

0.027 0.080 2.82 0.93 0.60, 1.44 .74<br />

-0.20 0.49 0.82 0.31, 2.16 .68<br />

-0.80 1.27 0.45 0.038, 5.39 .53<br />

-0.40 0.47 0.67 0.27, 1.67 .39<br />

Sippy cup<br />

use<br />

(reference: no)<br />

*ECC reference = yes R 2 = 6.9%<br />

-1.02 0.79 0.36 0.076, 1.71 .20<br />

Table 5.17 presents results from the logistic regressi<strong>on</strong> model that examined the<br />

relati<strong>on</strong>ship between pers<strong>on</strong>al and family finances and ECC. Specifically, it included<br />

both the annual income <str<strong>on</strong>g>of</str<strong>on</strong>g> the mother and overall household employment status <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />

mother during pregnancy. Results indicate that mothers with an annual income < $18,000<br />

per year were not significantly more likely to have an infant with caries (p=.058).<br />

However, those who were from a household where some<strong>on</strong>e was not employed full-time<br />

were over three times more likely to have a child with ECC (p=.031). Similar results also<br />

emerged from the backwards logistic regressi<strong>on</strong> model that included these same variables<br />

plus receiving government assistance. The final iterati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> this backwards regressi<strong>on</strong><br />

5-18

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