Linked Life Data

1789165

Source:http://linkedlifedata.com/resource/pubmed/id/1789165

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
104
pubmed:dateCreated
1992-3-26
pubmed:abstractText
A modified form of Nathanson and Becker's (1983) Health Belief Model Questionnaire and other measures designed to assess cognitive processing were administered to low-income black adolescent female clients of an inner-city comprehensive health care clinic. The purpose of the study was to explore determinants of sexual activity and contraceptive use. Subjects were classified as not sexually active (n = 50), sexually active/noncontracepting (n = 20), or sexually active/contracepting (n = 72). Not sexually active subjects tended to be younger, more career motivated, to have a father at home, to be more influenced by family values, and to have more conservative attitudes regarding adolescent sexuality than did sexually active subjects. Sexually active/noncontracepting subjects tended to report fewer benefits and more barriers to the use of contraception. Level of cognitive processing did not differ among the three groups, but was at a lower-than-expected level for age. Finally, inconsistent contraceptive use was common to both sexually active groups.
pubmed:grant
pubmed:keyword
http://linkedlifedata.com/resource/pubmed/keyword/Adolescents, http://linkedlifedata.com/resource/pubmed/keyword/Adolescents, Female, http://linkedlifedata.com/resource/pubmed/keyword/Age Factors, http://linkedlifedata.com/resource/pubmed/keyword/Americas, http://linkedlifedata.com/resource/pubmed/keyword/Attitude--women, http://linkedlifedata.com/resource/pubmed/keyword/Behavior, http://linkedlifedata.com/resource/pubmed/keyword/Beliefs--women, http://linkedlifedata.com/resource/pubmed/keyword/Blacks--women, http://linkedlifedata.com/resource/pubmed/keyword/CULTURE, http://linkedlifedata.com/resource/pubmed/keyword/Contraception, http://linkedlifedata.com/resource/pubmed/keyword/Contraceptive Usage--women, http://linkedlifedata.com/resource/pubmed/keyword/Cultural Background, http://linkedlifedata.com/resource/pubmed/keyword/Data Analysis, http://linkedlifedata.com/resource/pubmed/keyword/Delivery Of Health Care, http://linkedlifedata.com/resource/pubmed/keyword/Demographic Factors, http://linkedlifedata.com/resource/pubmed/keyword/Developed Countries, http://linkedlifedata.com/resource/pubmed/keyword/Economic Factors, http://linkedlifedata.com/resource/pubmed/keyword/Ethnic Groups, http://linkedlifedata.com/resource/pubmed/keyword/Family And Household, http://linkedlifedata.com/resource/pubmed/keyword/Family Characteristics, http://linkedlifedata.com/resource/pubmed/keyword/Family Planning, http://linkedlifedata.com/resource/pubmed/keyword/Health, http://linkedlifedata.com/resource/pubmed/keyword/Health Facilities, http://linkedlifedata.com/resource/pubmed/keyword/Linear Regression, http://linkedlifedata.com/resource/pubmed/keyword/Longitudinal Studies, http://linkedlifedata.com/resource/pubmed/keyword/Low Income Population--women, http://linkedlifedata.com/resource/pubmed/keyword/North America, http://linkedlifedata.com/resource/pubmed/keyword/Northern America, http://linkedlifedata.com/resource/pubmed/keyword/Organization And Administration, http://linkedlifedata.com/resource/pubmed/keyword/Outpatient Clinic, http://linkedlifedata.com/resource/pubmed/keyword/Population, http://linkedlifedata.com/resource/pubmed/keyword/Population Characteristics, http://linkedlifedata.com/resource/pubmed/keyword/Premarital Sex Behavior, http://linkedlifedata.com/resource/pubmed/keyword/Programs, http://linkedlifedata.com/resource/pubmed/keyword/Psychological Factors, http://linkedlifedata.com/resource/pubmed/keyword/Research Methodology, http://linkedlifedata.com/resource/pubmed/keyword/School-based Services, http://linkedlifedata.com/resource/pubmed/keyword/Sex Behavior, http://linkedlifedata.com/resource/pubmed/keyword/Social Class, http://linkedlifedata.com/resource/pubmed/keyword/Socioeconomic Factors, http://linkedlifedata.com/resource/pubmed/keyword/Socioeconomic Status, http://linkedlifedata.com/resource/pubmed/keyword/Statistical Regression, http://linkedlifedata.com/resource/pubmed/keyword/Studies, http://linkedlifedata.com/resource/pubmed/keyword/Texas, http://linkedlifedata.com/resource/pubmed/keyword/United States, http://linkedlifedata.com/resource/pubmed/keyword/Youth
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0001-8449
pubmed:author
pubmed:issnType
Print
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
769-85
pubmed:dateRevised
2007-11-14
pubmed:otherAbstract
PIP: The findings of this longitudinal study of contracepting behavior and attitudes among black and Hispanic females are based on an initial data sample. Study respondents (142 black never-pregnant youths 13-17 years) were recruited from the West Dallas Youth Clinic, a well-established school-based comprehensive health service serving a low income population. Interviews were conducted using the Nathanson and Becker's (1983) HBM questionnaire, Nowicki and Strickland's Locus of Control measure, a Piagetian Logical Reasoning Test, and Stein el al.'s (1968) Future Events Test. 3 groups were differentiated: nonsexually active (NA) (50), sexually active and noncontracepting (A/NC) (20), or sexually active and contracepting (A/C) (72). Initial analyses revealed age differences among the groups (F (2,139) =14.51, p.01). LInear and logistic regression analyses determined in general that group differences could not be attributed to age differences. The mean was 15.1 years for NA, 15.7 years for A/NC, and 16.1 years for A/C. Groups did not differ significantly academically on, e.g., school enrollment, grades, and outside job variables. Maternal characteristics were unrelated to group differences, but having a father living at home was, i.e., 23.8% of A/C had a father living at home vs. 45.8% of N/As and 38.1% of A/NCs. Because motivation scales were unreliable, future research and development are necessary. Nonetheless scale means varied among the groups, i.e., where N/As had higher motivation than A/NCs, and with A/Cs similar to both groups. The Perceived Probability of Pregnancy scale was very heterogenous. A/Cs felt a greater threat of pregnancy and were more likely to practice contraception than A/NCs. In the intercorrelations analysis, positive attitudes were related to a lower probability of sexual activity (r=.36). Those with a more positive attitude toward contraception were more sexually active. A boyfriend as a source of information was positively correlated with reported sexual activity (r=.38). Contraceptive use was associated with the Perceived Probability scale (r=.40), the Attitudes scale (r=.20), the Total Benefits and Barriers scale (r=.35), age (r=.26), and being sexually active (r=.38). Path analysis was deemed inappropriate. Sexual activity was predicted in multiple correlation analyses using separate Benefits and Barriers scales (R=.68, F (12,129) =9.23, p.001). Contraceptive use was also significantly predicted but with significant beta weights only for the General Preference subscale. The General Preference subscale, age, and boyfriend as information source were positively associated with sexual activity, and family influences decisions were inhibitory. The presence of a natural father had nonsignificant beta weight, and is interpreted as the father's role is indirect in inhibiting sexual activity.
pubmed:meshHeading
pubmed:year
1991
pubmed:articleTitle
Sexual activity and contraceptive use among low-income urban black adolescent females.
pubmed:affiliation
University of Texas Southwestern Medical Center, Children and Youth Project, Dallas 75235.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.