Longitudinal Effects of Body Mass Index and Self-Esteem on Adjustment From Early to Late Adolescence: A Latent Growth Model.

BACKGROUND: Mental and physical development during adolescence is a factor that may affect quality of life in adulthood. PURPOSE: The aims of this study were to investigate the developmental trajectories of body mass index (BMI), self-esteem, and adjustment among students from early to late adolescence and to examine the longitudinal relationships among these variables. METHODS: Data from 2006 to 2012 were collected from the Korean Welfare Panel Study. Of the initial sample of 521 students, 487 completed a validated questionnaire measuring BMI, self-esteem, and adjustment. Latent growth curve modeling analyses were conducted to examine the relationships among the variables. RESULTS: Univariate linear growth models showed a significant increase in BMI and significant declines in both self-esteem and adjustment across three time points from childhood to adolescence. The goodness of fit of the multivariate conditioned model supported the validity of the proposed longitudinal model (comparative fit index = .93, root mean square error of approximation = .08). Change in BMI was significantly linked with change in adjustment (ß = .18, p < .05) but not with change in self-esteem, whereas change in self-esteem exerted a statistically significant effect on change in adjustment (ß = .47, p < .001). CONCLUSIONS/IMPLICATIONS FOR PRACTICE: Our findings indicate that BMI and self-esteem are key determinants of student adjustment in school settings. Therefore, future health education interventions should focus on enhancing the positive physical and mental self-concepts of students, which should improve health and social behavior among students and subsequently afford a better quality of life for these students in adulthood.

[Model for unplanned self extubation of ICU patients using system dynamics approach].

PURPOSE: In this study a system dynamics methodology was used to identify correlation and nonlinear feedback structure among factors affecting unplanned extubation (UE) of ICU patients and to construct and verify a simulation model. METHODS: Factors affecting UE were identified through a theoretical background established by reviewing literature and preceding studies and referencing various statistical data. Related variables were decided through verification of content validity by an expert group. A causal loop diagram (CLD) was made based on the variables. Stock & Flow modeling using Vensim PLE Plus Version 6.0 b was performed to establish a model for UE. RESULTS: Based on the literature review and expert verification, 18 variables associated with UE were identified and CLD was prepared. From the prepared CLD, a model was developed by converting to the Stock & Flow Diagram. Results of the simulation showed that patient stress, patient in an agitated state, restraint application, patient movability, and individual intensive nursing were variables giving the greatest effect to UE probability. To verify agreement of the UE model with real situations, simulation with 5 cases was performed. Equation check and sensitivity analysis on TIME STEP were executed to validate model integrity. CONCLUSION: Results show that identification of a proper model enables prediction of UE probability. This prediction allows for adjustment of related factors, and provides basic data do develop nursing interventions to decrease UE.