15 research outputs found

    Weighted logistic regressions<sup>a</sup> on the use of Pap tests and mammograms: Univariate and Bivariate models.

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    <p><i>Notes.</i> OR =  Odds Ratios; CI =  Confidence Intervals; BMI =  Body Mass Index.</p>a<p>Analysis were performed on probability-weighted sample data with SAS 9.3 software.</p>b<p>Women aged 20–65 years, not pregnant and without history of cervical cancer.</p>c<p>Women aged 40–75 years, not pregnant and without history of breast cancer.</p><p>*<i>P</i><.1;</p><p>**<i>P</i><.05;</p><p>***<i>P</i><.0001.</p

    Comparison of characteristics of study participants between those who did and did not receive the screening test<sup>a</sup>.

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    <p>Notes. GP =  General Practitioner; BMI =  Body Mass Index.</p>a<p>Bivariate analyses were performed by chi-square testing comparing characteristics between those who did and did not receive the screening test.</p>b<p>Group for cervical cancer screening analysis: women aged 20–65 years, not pregnant and without history of cervical cancer.</p>c<p>Group for breast cancer screening analysis: women aged 40–75 years, not pregnant and without history of breast cancer.</p>d<p>A t-test was performed to determine whether the mean score for those who received the screening test differed significantly from the mean score for those who didn't receive it, in each study group.</p

    Predicted probabilities of having received a Pap test within the past 3 years: model with an interaction term between obesity and disability score.

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    <p>Predicted probabilities of having received a Pap test within the past 3 years: model with an interaction term between obesity and disability score.</p

    Comparison of disability score means by obesity status<sup>a</sup>.

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    <p>Notes. BMI =  Body Mass Index.</p>a<p>T-tests were performed to determine whether or the mean score differed significantly by BMI categories, in each study group. All tests were significant - <i>P<.0001</i>.</p

    Flow chart illustrating the selection of study populations for cervical and breast cancer screening from the Health and Disability Survey - Household Section (HSM).

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    <p>Flow chart illustrating the selection of study populations for cervical and breast cancer screening from the Health and Disability Survey - Household Section (HSM).</p

    Predicted probabilities of having received a mammogram within the past 2 years: model with an interaction term between obesity and disability score.

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    <p>Predicted probabilities of having received a mammogram within the past 2 years: model with an interaction term between obesity and disability score.</p

    Weighted logistic regressions<sup>a</sup> on the use of Pap tests and mammograms: Multivariable model.

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    <p><i>Notes.</i> AOR =  Adjusted Odds Ratios; CI =  Confidence Intervals; GP =  General Practitioner; BMI =  Body Mass Index.</p>a<p>Analysis were performed on probability-weighted sample data adjusted for potential confounders with SAS 9.3 software.</p>b<p>Women aged 20–65 years, not pregnant and without history of cervical cancer.</p>c<p>Women aged 40–75 years, not pregnant and without history of breast cancer.</p><p>*<i>P</i><.1;</p><p>**<i>P</i><.05;</p><p>***<i>P</i><.0001.</p
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