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In our study, the conditional logistic regression analysis indicates that total child hours, which combine information from several measures of daycare attendance into a single value, effectively summarise the protective effect of attending daycare (Table 4).
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The probable and confirmed cases were identified among children attending three different daycare sections (Table 1).
A total of 95% of the children were in center-based daycare (see Table 1), at which the person who knew the child best was asked to complete the TRF.
Despite randomization, there were notable differences among treatment groups in the frequency of potentially confounding factors, especially gender, presence of siblings in the home, frequency of AOM prior to study entry, and daycare attendance (Table 1).
As expected, the other five daycare attendance variables in Table 2 followed the same pattern, since these daycare measures are all related.
The proportion of injuries that occurred at school and daycare facilities increased with age (Table 2).
In multivariable analysis, comparing rotavirus AGE cases to community controls having a father with less education, a mother currently married, and being moderately-to-severely stunted were protective against being a case, while being in the least poor SES quintiles and not attending daycare were significant risk factors (Table 2).
Overall, 54% of hMPV-infected children were absent from daycare or school for >1 day (Table 4).
Back-up daycare, onsite dry cleaning, free lunches and pool tables?
The results from a conditional logistic analysis, based on a purely additive model employing the daycare attendance variables directly as measured, are presented in Table 4-wrap>.
The distribution of the 5 main cost categories (honoraria, materials, hospitalization, daycare stay, and pharmaceuticals) and total costs are summarized in Table 2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com