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Biomedical subjects

M E Schoeny

Publications and source records attributed to M E Schoeny.

3 recordsLinked to original sources

Current smoking among young adolescents: assessing school based contextual norms.

OBJECTIVE: To extend research on the relation of school based contextual norms to current smoking among adolescents by using three analytic techniques to test for contextual effects. It was hypothesised that significant contextual effects would be found in all three models, but that the strength of these effects would vary by the statistical rigor of the model. DESIGN: Three separate analytic approaches were conducted on baseline self report student survey data from a larger study to test the relation between school level perceived peer tobacco use and individual current smoking status. PARTICIPANTS: A representative sample of 5399 sixth through eighth grade students in 14 midwestern middle schools completed the survey. All enrolled sixth through eighth grade students were eligible to participate in the survey. The student participation rate was 91.4% for the entire sample, and did not differ significantly between the schools (range 82-100%). MAIN OUTCOME MEASURE: Thirty day cigarette smoking prevalence. RESULTS: A level 2 only model based on aggregated individual responses indicated that students in schools with higher average reported peer tobacco use were more likely to be current smokers than students in schools with lower average peer tobacco use. Using a level 1 only model based on individual responses indicated that the effect of school level perceived peer tobacco use on current smoking was significant when individual perceived peer tobacco use was excluded from the model but was non-significant when individual perceived peer tobacco use was added to the model. A multilevel model also indicated that the effect of school level perceived peer tobacco use on current smoking was not significant when individual perceived peer tobacco use was added to the model. CONCLUSION: The analytic approach used to examine contextual effects using individuals' reports of peer tobacco use norms that were aggregated to obtain a context measure of the school norms may produce statistical artefacts that distort the association of the school context in general, and peer tobacco use norms in particular, with increased risk for current smoking beyond the risk associated with individual factors.

Adolescent↗

Do participation rates change when active consent procedures replace passive consent.

Researchers face considerable ambiguity and controversy regarding the issue of informed consent. Decisions about consent procedures can affect study participation rates and prevalence estimates among specific populations. Changing from passive to active parental consent procedures was examined in a case study with an anonymous survey of sixth- through eighth-grade students' substance use. Four types of procedures for obtaining parental consent were examined. Results suggest that certain types of consent procedures can yield high levels of participation. This study also demonstrates that low participation rates with some active consent procedures can cause biases in sample characteristics and outcome data.

Adolescent↗

Primary care providers' responsiveness to health-risk behaviors reported by adolescent patients.

OBJECTIVE: To assess clinicians' responsiveness to health-risk behaviors reported by adolescent patients during a comprehensive clinical preventive services visit. DESIGN: Nonprobability sample of adolescent patients scheduled for a routine physical examination. SETTING: Seven clinical sites in the Chicago, Ill, area. PARTICIPANTS: Fifteen primary care providers and 95 adolescent patients between 11 and 18 years of age. INTERVENTION: Providers delivered comprehensive clinical preventive services to adolescent patients using the Guidelines for Adolescent Preventive Services model. This model includes screening, guidance, a physical examination, and immunizations. Prior to the visit, adolescent patients completed a screening questionnaire that included a 52-item health-risk behavior profile. Responses on the screening questionnaire were discussed during the visit. MAIN OUTCOME MEASURES: Each provider's responsiveness to reported health-risk behaviors was determined by comparing the adolescent patient's responses on the screening questionnaire with those reported during a debriefing interview with the adolescent about whether specific subjects were discussed. Responsiveness to highly sensitive behaviors was determined by comparing the screening questionnaire and the medical record. RESULTS: On average, each adolescent patient reported 10 risk behaviors, of which 7 were discussed. The severity of the reported risk behavior, the number of reported biological health concerns, and the adolescent patient's sex were significant predictors of the provider's responsiveness. The number of reported health-risk behaviors, visit duration, provider's professional role and sex, whether the adolescent was a new patient, and the adolescent patient's age were unrelated to responsiveness. CONCLUSIONS: Providers addressed most health-risk behaviors reported during a single visit, but responsiveness declined when 3 or more biological health concerns or relatively severe problems were reported. Steps can be taken to increase providers' responsiveness.

Adolescent↗