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- Title
Clusters of Factors Identify A High Prevalence of Pregnancy Involvement Among US Adolescent Males.
- Authors
Lau, May; Lin, Hua; Flores, Glenn
- Abstract
The study purpose was to use recursive partitioning analysis (RPA) to identify factors that, when clustered, are associated with a high prevalence of pregnancy involvement among US adolescent males. The National Survey of Family Growth is a nationally representative survey of individuals 15-44 years old. RPA was done for the 2002 and 2006-2010 cycles to identify factors which, when combined, identify adolescent males with the highest prevalence of pregnancy involvement. Pregnancy-involvement prevalence among adolescent males was 6 %. Two clusters of adolescent males have the highest pregnancy-involvement prevalence, at 84-87 %. In RPA, the highest pregnancy-involvement prevalence (87 %) was seen in adolescent males who ever HIV tested, had >4 lifetime sexual partners, reported less than an almost certain chance of feeling less physical pleasure with condom use, had an educational attainment of <11th grade, and had ≤2 sexual partners in the past 12 months. Adolescent males who ever HIV tested, had >4 lifetime sexual partners, reported less than an almost certain chance of feeling less physical pleasure with condom use, had an educational attainment ≥11th grade, were >17 years old, and had their first contraceptive education ≥10th grade, had a pregnancy-involvement prevalence of 84 %. Pregnancy-prevention efforts among adolescent males who have been involved in a pregnancy may need to target risk factors identified in clusters with the highest pregnancy prevalence to prevent subsequent pregnancies in these adolescent males and improve their future outcomes.
- Subjects
UNITED States; PREVENTION of sexually transmitted diseases; CHI-squared test; CONTRACEPTION; HIV infections; INTERVIEWING; MULTIVARIATE analysis; UNWANTED pregnancy; STATISTICS; T-test (Statistics); TEENAGE fathers; TEENAGE pregnancy; PATIENT participation; SOCIOECONOMIC factors; DATA analysis software
- Publication
Maternal & Child Health Journal, 2015, Vol 19, Issue 8, p1713
- ISSN
1092-7875
- Publication type
Article
- DOI
10.1007/s10995-015-1685-2