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Utility of percentage of births to teenagers as a surrogate for the teen birth rate

Bibliographic Data

ID11037742
AuthorsJ Gould (0000-0002-1206-1316), Jeffrey B Gould (0000-0002-8495-077X, California Health and Human Services Agency), T Blackwell, Timothy E Blackwell, Charles M Heilig (0000-0003-1075-1310), C Heilig, M Axley
Year1998
Volume88
Issue6
Pages908-912
Publication date1998-06-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.88.6.908
PMID9618618
OpenAlexW1995904757
LanguageEN
References cited3

OBJECTIVES: The teen birth rate is commonly used in comparing regional variation in teen pregnancies, but local teen birth rates are not always available. In this study the percentage of all births that are to teens was evaluated for its utility as a surrogate for the teen birth rate. METHODS: Rank correlation and sensitivity and specificity analyses were used. RESULTS: The Spearman rank correlations between percentage of teen births (PTB) and teen birth rate (TBR) were .995, .906, and .841 for the 3 age groups suggesting that it may be reasonable to employ PTB to prioritize zip codes. Zip codes with upper quartile levels of percentages of teen births identified zip codes with upper quartile levels of TBR with a sensitivity of 83.8%, 68.8%, and 65%; a false-positive rate of 2.1%, 8.6%, and 10%; and a positive predictive value of 89.3%, 67.6%, and 67.5% for the age groups 10 through 14, 15 through 17, and 18 through 19 years. CONCLUSIONS: The percentage of births to teens is a useful surrogate for teen birth rate in California, especially among younger teenagers

Biology · Birth rate · Confidence interval · Environmental health · Live birth · Population · Pregnancy · Quartile · Rank correlation · Research methodology · Spearman's rank correlation coefficient · Statistics · Assisted Reproductive Technology and Twin Pregnancy · Demographic Trends and Gender Preferences · Demography · Internal Medicine · Maternal and Neonatal Healthcare · Mathematics · Medicine

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Highly citedNo
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