author_facet Dombkowski, Kevin J.
Lantz, Paula M.
Freed, Gary L.
Dombkowski, Kevin J.
Lantz, Paula M.
Freed, Gary L.
author Dombkowski, Kevin J.
Lantz, Paula M.
Freed, Gary L.
spellingShingle Dombkowski, Kevin J.
Lantz, Paula M.
Freed, Gary L.
Public Health Reports
Risk Factors for Delay in Age-Appropriate Vaccination
Public Health, Environmental and Occupational Health
author_sort dombkowski, kevin j.
spelling Dombkowski, Kevin J. Lantz, Paula M. Freed, Gary L. 0033-3549 1468-2877 SAGE Publications Public Health, Environmental and Occupational Health http://dx.doi.org/10.1177/003335490411900207 <jats:sec><jats:title>Objective.</jats:title><jats:p>To estimate the risk factors of children experiencing delay in age-appropriate vaccination using a nationally representative population of children, and to compare risk factors for vaccination delay with those based on up-to-date vaccination status models.</jats:p></jats:sec><jats:sec><jats:title>Methods.</jats:title><jats:p>The authors compared predictors of delay in age-appropriate vaccination with those for children who were not up-to-date, using a nationally representative sample of children from five years of pooled data (1992–1996) from the National Health Interview Survey (NHIS) Immunization Supplement. Duration of delay was calculated for the DTP4, Polio3, MMR1 doses and 4:3:1 series using age-appropriate vaccination standards; up-to-date status (i.e., whether or not a dose was received) was also determined. Adjusted odds ratios were estimated using multivariate logistic regression for models of vaccination delay and up-to-date vaccination status.</jats:p></jats:sec><jats:sec><jats:title>Results.</jats:title><jats:p>Absence of a two-parent household, large family size, parental education, Medicaid enrollment, absence of a usual provider, no insurance coverage, and households without a telephone were significantly related to increased odds of a child experiencing vaccination delay ( p≤0.05).</jats:p></jats:sec><jats:sec><jats:title>Conclusions.</jats:title><jats:p>Many of the risk factors observed in models of vaccination delay were not found to be significant in risk models based upon up-to-date status. Consequently, risk models of delays in age-appropriate vaccination may foster identification of children at increased risk for inadequate vaccination. Populations at increased risk of inadequate vaccination can be more clearly identified through risk models of delays in age-appropriate vaccination.</jats:p></jats:sec> Risk Factors for Delay in Age-Appropriate Vaccination Public Health Reports
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title Risk Factors for Delay in Age-Appropriate Vaccination
title_unstemmed Risk Factors for Delay in Age-Appropriate Vaccination
title_full Risk Factors for Delay in Age-Appropriate Vaccination
title_fullStr Risk Factors for Delay in Age-Appropriate Vaccination
title_full_unstemmed Risk Factors for Delay in Age-Appropriate Vaccination
title_short Risk Factors for Delay in Age-Appropriate Vaccination
title_sort risk factors for delay in age-appropriate vaccination
topic Public Health, Environmental and Occupational Health
url http://dx.doi.org/10.1177/003335490411900207
publishDate 2004
physical 144-155
description <jats:sec><jats:title>Objective.</jats:title><jats:p>To estimate the risk factors of children experiencing delay in age-appropriate vaccination using a nationally representative population of children, and to compare risk factors for vaccination delay with those based on up-to-date vaccination status models.</jats:p></jats:sec><jats:sec><jats:title>Methods.</jats:title><jats:p>The authors compared predictors of delay in age-appropriate vaccination with those for children who were not up-to-date, using a nationally representative sample of children from five years of pooled data (1992–1996) from the National Health Interview Survey (NHIS) Immunization Supplement. Duration of delay was calculated for the DTP4, Polio3, MMR1 doses and 4:3:1 series using age-appropriate vaccination standards; up-to-date status (i.e., whether or not a dose was received) was also determined. Adjusted odds ratios were estimated using multivariate logistic regression for models of vaccination delay and up-to-date vaccination status.</jats:p></jats:sec><jats:sec><jats:title>Results.</jats:title><jats:p>Absence of a two-parent household, large family size, parental education, Medicaid enrollment, absence of a usual provider, no insurance coverage, and households without a telephone were significantly related to increased odds of a child experiencing vaccination delay ( p≤0.05).</jats:p></jats:sec><jats:sec><jats:title>Conclusions.</jats:title><jats:p>Many of the risk factors observed in models of vaccination delay were not found to be significant in risk models based upon up-to-date status. Consequently, risk models of delays in age-appropriate vaccination may foster identification of children at increased risk for inadequate vaccination. Populations at increased risk of inadequate vaccination can be more clearly identified through risk models of delays in age-appropriate vaccination.</jats:p></jats:sec>
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author Dombkowski, Kevin J., Lantz, Paula M., Freed, Gary L.
author_facet Dombkowski, Kevin J., Lantz, Paula M., Freed, Gary L., Dombkowski, Kevin J., Lantz, Paula M., Freed, Gary L.
author_sort dombkowski, kevin j.
container_issue 2
container_start_page 144
container_title Public Health Reports
container_volume 119
description <jats:sec><jats:title>Objective.</jats:title><jats:p>To estimate the risk factors of children experiencing delay in age-appropriate vaccination using a nationally representative population of children, and to compare risk factors for vaccination delay with those based on up-to-date vaccination status models.</jats:p></jats:sec><jats:sec><jats:title>Methods.</jats:title><jats:p>The authors compared predictors of delay in age-appropriate vaccination with those for children who were not up-to-date, using a nationally representative sample of children from five years of pooled data (1992–1996) from the National Health Interview Survey (NHIS) Immunization Supplement. Duration of delay was calculated for the DTP4, Polio3, MMR1 doses and 4:3:1 series using age-appropriate vaccination standards; up-to-date status (i.e., whether or not a dose was received) was also determined. Adjusted odds ratios were estimated using multivariate logistic regression for models of vaccination delay and up-to-date vaccination status.</jats:p></jats:sec><jats:sec><jats:title>Results.</jats:title><jats:p>Absence of a two-parent household, large family size, parental education, Medicaid enrollment, absence of a usual provider, no insurance coverage, and households without a telephone were significantly related to increased odds of a child experiencing vaccination delay ( p≤0.05).</jats:p></jats:sec><jats:sec><jats:title>Conclusions.</jats:title><jats:p>Many of the risk factors observed in models of vaccination delay were not found to be significant in risk models based upon up-to-date status. Consequently, risk models of delays in age-appropriate vaccination may foster identification of children at increased risk for inadequate vaccination. Populations at increased risk of inadequate vaccination can be more clearly identified through risk models of delays in age-appropriate vaccination.</jats:p></jats:sec>
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spelling Dombkowski, Kevin J. Lantz, Paula M. Freed, Gary L. 0033-3549 1468-2877 SAGE Publications Public Health, Environmental and Occupational Health http://dx.doi.org/10.1177/003335490411900207 <jats:sec><jats:title>Objective.</jats:title><jats:p>To estimate the risk factors of children experiencing delay in age-appropriate vaccination using a nationally representative population of children, and to compare risk factors for vaccination delay with those based on up-to-date vaccination status models.</jats:p></jats:sec><jats:sec><jats:title>Methods.</jats:title><jats:p>The authors compared predictors of delay in age-appropriate vaccination with those for children who were not up-to-date, using a nationally representative sample of children from five years of pooled data (1992–1996) from the National Health Interview Survey (NHIS) Immunization Supplement. Duration of delay was calculated for the DTP4, Polio3, MMR1 doses and 4:3:1 series using age-appropriate vaccination standards; up-to-date status (i.e., whether or not a dose was received) was also determined. Adjusted odds ratios were estimated using multivariate logistic regression for models of vaccination delay and up-to-date vaccination status.</jats:p></jats:sec><jats:sec><jats:title>Results.</jats:title><jats:p>Absence of a two-parent household, large family size, parental education, Medicaid enrollment, absence of a usual provider, no insurance coverage, and households without a telephone were significantly related to increased odds of a child experiencing vaccination delay ( p≤0.05).</jats:p></jats:sec><jats:sec><jats:title>Conclusions.</jats:title><jats:p>Many of the risk factors observed in models of vaccination delay were not found to be significant in risk models based upon up-to-date status. Consequently, risk models of delays in age-appropriate vaccination may foster identification of children at increased risk for inadequate vaccination. Populations at increased risk of inadequate vaccination can be more clearly identified through risk models of delays in age-appropriate vaccination.</jats:p></jats:sec> Risk Factors for Delay in Age-Appropriate Vaccination Public Health Reports
spellingShingle Dombkowski, Kevin J., Lantz, Paula M., Freed, Gary L., Public Health Reports, Risk Factors for Delay in Age-Appropriate Vaccination, Public Health, Environmental and Occupational Health
title Risk Factors for Delay in Age-Appropriate Vaccination
title_full Risk Factors for Delay in Age-Appropriate Vaccination
title_fullStr Risk Factors for Delay in Age-Appropriate Vaccination
title_full_unstemmed Risk Factors for Delay in Age-Appropriate Vaccination
title_short Risk Factors for Delay in Age-Appropriate Vaccination
title_sort risk factors for delay in age-appropriate vaccination
title_unstemmed Risk Factors for Delay in Age-Appropriate Vaccination
topic Public Health, Environmental and Occupational Health
url http://dx.doi.org/10.1177/003335490411900207