Biomedical subjects

Karen G Schepp

Publications and source records attributed to Karen G Schepp.

4 recordsLinked to original sources

PubMed2006

Visual-feedback therapy for antipsychotic medication adherence.

This pilot study aimed to examine the effectiveness of visual-feedback therapy for individuals with psychotic disorders. Visual-feedback therapy combines structured psychodynamic therapy and visual feedback achieved via an electronic monitoring medication cap to increase insight about medication behaviours. Thirty subjects were randomly assigned either to visual feedback or to a supportive counselling group. Medication adherence was measured by both electronic monitoring and blood plasma drug concentration levels. The results showed that, at the end of the 3-month, intervention (bimonthly sessions), adherence rates of the visual-feedback group slightly increased, but declined during the course of the study for the supportive counselling control group (P=0.026).

Adult↗

PubMed2006

Predictors of suicidal ideation among high school students by gender in South Korea.

The purpose of this study was to examine the evidence to determine if there are gender differences in suicidal ideation of adolescents. This study examined the main effect of risk factors from 5 domains and protective factors from 1 domain in relation to suicidal ideation by gender and identified the most important predictors of suicidal ideation for males (N = 654) and females (N = 658). This study was a cross-sectional survey, and data were collected through self-report questionnaires. In the univariate analysis, especially, risk factors from behavioral variables and psychosocial-environmental variables appeared to be gender skewed. For males, all behavioral variables were predictive of suicidal ideation. For the females, unlike the males, Wang-tta or victim of bullying behavior and sexual orientation as behavioral variables were predictive of suicidal ideation. For males, parental divorce and parental alcohol abuse as psychosocial-environmental variables were predictive of suicidal ideation. For the females, again unlike for the males, all the psychosocial-environmental variables were not predictive of suicidal ideation. The most important predictors of suicidal ideation for males as a result of the multivariate analysis were history of suicidal attempt, depression, hostility, smoking, parental alcohol abuse, communication with friends, and self-esteem. The most important predictors of suicidal ideation for females as a result of the multivariate analysis were depression, hostility, sexual orientation, and self-esteem. These results would indicate that an effective suicide screening and prevention program for adolescents should consider gender differences.

Adolescent↗

PubMed2005

Adherence and nonadherence to antipsychotic medications.

The aims of this study were to identify dimensions of reasons for adherence and nonadherence to antipsychotic medications, and their associations with clinical and demographic profiles. A total number of 106 participants with DSM-IV psychosis spectrum disorders from two larger studies in inpatient and community settings participated. The Rating of Medication Influences (ROMI) Scale was used to measure subjective reasons for adherence and nonadherence. A series of multiple regression analyses found that mood symptom scores on the Positive and Negative Syndrome Scale (PANSS) predicted most dimensions of reasons for adherence and nonadherence. Higher mood scores were associated with positive affinity for medications and positive relationship with clinicians. Lower mood scores predicted four out of five reasons for nonadherence. Adherence and nonadherence behaviors were determined by different variables and were not mirror opposites.

Adult↗

PubMed2005

Predictors of suicidal ideation for adolescents by gender.

PURPOSE: The purposes of this study were 1) to examine the differences in suicidal ideation and psychological variables by gender, 2) compare the contribution of demographic-behavioral variables and psychosocial variables in explaining the variance in suicidal ideation, and 3) identify the most important predictors of suicidal ideation for male adolescents and female adolescents. METHODS: The subjects consisted of 271 male adolescents and 230 female adolescents. Data were collected through self-report questionnaires, which were constructed to include SSI-C, DEP subscale of the SCL-90-R, PACI, and SWLS. The data were analyzed by the SPSS/WIN program. RESULTS: Suicidal ideation differed by gender. Depression and family communication differed by gender. The unique contribution of demographic-behavioral variables and psychosocial variables in explaining the variance in suicidal ideation differed between male adolescents and female adolescents. The significant predictors of suicidal ideation for male adolescents were life satisfaction, depression, and family communication, explaining 28% of the variance in suicidal ideation. The significant predictors of suicidal ideation for female adolescents were depression, smoking, and life satisfaction, explaining 38% of the variance in suicidal ideation. CONCLUSION: The findings of this study suggest that the approach to effective suicide prevention program for adolescents should consider gender differences.

Adolescent↗