OBJECTIVE To investigate predictors of dropout from a group cognitive behavioral therapy (CBT) intervention for overweight or obese women. METHODS 119 overweight and obese Japanese women aged 25-65 years who attended an outpatient weight loss intervention were followed throughout the 7-month weight loss phase. Somatic characteristics, socioeconomic status, obesity-related diseases, diet and e...

Background: Leprosy is a chronic infectious disease endemic in some undeveloped areas, and still represents a public health problem in Brazil. Therefore, the control of this endemic disease depends necessarily on the institution of correct treatment and containment of treatment dropout. This study aims to conduct a systematic review of published studies on treatment dropout of leprosy. Methods:...

To examine why court mandated offenders dropout of drug treatment and to compare their characteristics, treatment experiences, perceptions, and outcomes with treatment completers, we analyzed self-reported and administrative data on 542 dropouts (59%) and 384 completers (41%) assessed for Proposition 36 treatment by thirty sites in five California counties during 2004. At intake, dropouts had l...

This study examined the effect of child sexual or physical abuse on brief cognitive-behavioral therapy treatments with adults with posttraumatic stress disorder (PTSD). We analyzed secondary data from two randomized controlled trials (Resick, Nishith, Weaver, Astin, & Feuer, 2002; Resick et al., 2008) that included women with PTSD who did or did not have child sexual abuse (CSA) or child physic...

BACKGROUND Leprosy is a chronic infectious disease endemic in some undeveloped areas, and still represents a public health problem in Brazil. Therefore, the control of this endemic disease depends necessarily on the institution of correct treatment and containment of treatment dropout. This study aims to conduct a systematic review of published studies on treatment dropout of leprosy. METHODS...

Development of antiobesity drugs is continuously challenged by high dropout rates during clinical trials. The objective was to develop a population pharmacodynamic model that describes the temporal changes in body weight, considering disease progression, lifestyle intervention, and drug effects. Markov modeling (MM) was applied for quantification and characterization of responder and nonrespond...

Student dropout prediction is an indispensable for numerous intelligent systems to measure the education system and success rate of any university as well as throughout the university in the world. Therefore, it becomes essential to develop efficient methods for prediction of the students at risk of dropping out, enabling the adoption of proactive process to minimize the situation. Thus, this r...

OBJECTIVES To study associations between healthcare seeking in 15-16-year-olds and high school dropout 5 years later. DESIGN Longitudinal community study. SETTING Data from a comprehensive youth health survey conducted in 2000-2004, linked to data from national registries up to 2010. PARTICIPANTS 13 964 10th grade secondary school students in six Norwegian counties. MAIN OUTCOME MEASURE...

Recent anecdotal reports suggest that dropout rates may be higher and actually increasing over time in poor rural areas. There are many reasons not to be surprised that there is a dropout problem, given the fact that China has a high level of poverty among the rural population, a highly competitive education system and rapidly increasing wages for unskilled workers. The overall goal of this stu...

Statistical data contains noise. Smoothing is used to smooth out these noises and present the data as a meaningful one. Kernel methods are nonparametric smoothing tools that can reveal structural features in the data which may not be possible with a parametric approach. This paper applies Epanechnikov kernel method of data smoothing to smooth out the dropout rates of the children with disabilit...