RESUMO
OBJECTIVES: To predict the duration of any breastfeeding using the duration of exclusive breastfeeding in a socioeconomically heterogeneous sample of mothers using receiver operator characteristic (ROC) analysis. STUDY DESIGN: The Mother Baby Health Survey, a birth certificate-linked cross-sectional survey was sent at 4-5 months postpartum to a stratified random sample of socioeconomically and racially diverse women in upstate New York; 797 mothers who initiated exclusive breastfeeding were included in this study. Split-sample validation was employed; eligible subjects were divided into training or test samples at random (80% and 20%, respectively). ROC curves were constructed using the training sample and optimal exclusive breastfeeding duration thresholds were tested using the remaining test sample. Logistic regression using the training sample provided estimates of the predictive ability (sensitivity, specificity, positive predictive value) of thresholds in both unadjusted and adjusted analyses (covariates: age, education, parity, marital status, and race). RESULTS: The ROC analysis in this sample demonstrated that 9 weeks of exclusivity was required for maintenance of breastfeeding at 3 months, and 14.9 weeks of exclusivity was required for maintenance at 20 weeks. Unadjusted and adjusted models yielded similar results; women who exclusively breastfed for at least 9 weeks had 2.2 times the risk (95% CI 1.7-2.8) of maintaining any breastfeeding at 3 months. CONCLUSIONS: These results are similar to our previous results, from a less diverse cohort, and support that these thresholds may be useful in clinical settings for helping mothers achieve breastfeeding duration goals.
Assuntos
Aleitamento Materno/métodos , Mães/educação , Mães/psicologia , Fatores Socioeconômicos , Adulto , Atitude Frente a Saúde , Aleitamento Materno/psicologia , Estudos Transversais , Escolaridade , Humanos , Lactente , Recém-Nascido , Modelos Logísticos , Masculino , New York , Valor Preditivo dos Testes , Curva ROC , Medição de Risco , Fatores de TempoRESUMO
Specific personality traits have been linked with substance use disorders (SUDs), genetic mechanisms, and brain systems. Thus, determining the specificity of personality traits to types of SUD can advance the field towards defining SUD endophenotypes as well as understanding the brain systems involved for the development of novel treatments. Disentangling these factors is particularly important in highly co morbid SUDs, such as marijuana and nicotine use, so treatment can occur effectively for both. This study evaluated personality traits that distinguish isolated and co-morbid use of marijuana and nicotine. To that end, we collected the NEO Five Factor Inventory in participants who used marijuana-only (n=59), nicotine-only (n=27), both marijuana and nicotine (n=28), and in non-using controls (n=28). We used factor analyses to identify personality profiles, which are linear combinations of the five NEO Factors. We then conducted Receiver Operating Characteristics (ROC) curve analysis to test accuracy of the personality factors in discriminating isolated and co-morbid marijuana and nicotine users from each other. ROC curve analysis distinguished the four groups based on their NEO personality patterns. Results showed that NEO Factor 2 (openness, extraversion, agreeableness) discriminated marijuana and marijuana+nicotine users from controls and nicotine-only users with high predictability. Additional ANOVA results showed that the openness dimension discriminated marijuana users from nicotine users. These findings suggest that personality dimensions distinguish marijuana users from nicotine users and should be considered in prevention strategies.