ABSTRACT
【Objective】 To explore the dynamic change of depression in diabetic patients so as to provide evidence for early detection and warning of psychological problems in diabetic patients. 【Methods】 Based on the data from the China Health and Retirement Longitudinal Study （CHARLS）， the propensity score matching method was used to eliminate confounding factors in the study. The linear growth model， the nonlinear quadratic growth model， and the growth model without defined curve type were fitted respectively. According to the fitting indices of the models， the optimal solution of the growth function was determined to explore the changes of depression development in the diabetic patients. 【Results】 A total of 5 711 cases （5 380 cases in the non-diabetic group and 331 cases in the diabetic group） were included in the study. After propensity score matching， 1 621 cases （1 291 cases in the non-diabetic group and 330 cases in the diabetic group） were included and all confounding factors were balanced between the two groups. By fitting three growth curve models with latent variables， the results showed that the model without defined curve type was better than the other two models. The mean depression score for initial status in the non-diabetic and diabetic groups was 9.640 and 10.097， respectively， with significant inter-individual differences. During the follow-up period， the depression status of both groups showed a trend of decrease first and then increase， but the depression score was always lower in the non-diabetic group than in the diabetic group. At the same time， there was no individual difference in the rate of change between the two groups， and there was no statistical difference between the initial depression score and the subsequent slope of change. 【Conclusion】 Exploring the change track of depression status over time in diabetic patients， understanding the individual psychological change trend and further explaining the differences between individuals are of great significance for intervention on psychological status at different stages.
ABSTRACT
Objective@#To explore the development trajectories of quality of life and acceptance of disability of burn patients in the rehabilitation treatment stage and the influencing factors.@*Methods@#Totally 207 burn patients, including 157 males and 50 females, aged (40±13) years, who were in the rehabilitation treatment stage were selected by convenient sampling method from October 2016 to July 2017 in the Department of Burns of Fujian Medical University Union Hospital for this longitudinal study. At discharge and 1, 3, and 6 months after discharge, the patient′s quality of life and acceptance of disability were scored using the Burn Specific Health Scale-Brief and Chinese Version of Acceptance of Disability Scale-Revised respectively. Taking the intercept, the slope, and the curve slope as latent variables, the latent second growth curve model was constructed for the quality of life and the acceptance of disability. The robust maximum likelihood estimation (MLR) method was used to estimate the mean, the variance, and the covariance, so as to analyze the discharge level, the growth rate, the acceleration, and the correlation among them. Taking the acceptance of disability, the gender, the cause of burn, the severity of burn, the existence of complications, the payment way, and the education level as covariates, the latent second growth curve model was constructed for the quality of life. The MLR method was used to estimate the influence of covariates on the discharge level, the growth rate, and the acceleration of the quality of life.@*Results@#At discharge and 1, 3, and 6 months after discharge, the quality of life scores of patients were (102±36), (111±36), (118±37), and (122±37) points respectively, and the acceptance of disability scores were (73±17), (75±17), (77±17), and (78±18) points respectively. The estimated mean intercept of the quality of life and the acceptance of disability were 101.680 and 72.993 respectively at discharge, both of which showed a curve increasing trend in 1, 3, and 6 months after discharge (estimated mean slope=11.024, 3.086, t=15.376, 7.476, P<0.01), and the increasing rate (acceleration) gradually slowed down (estimated mean curve slope=-1.393, -0.426, t=-13.339, -4.776, P<0.01). There were significant individual differences in the discharge level and the acceleration of quality of life of patients (estimated intercept variance=1 174.527, t=9.332; estimated curve slope variance=2.379, t=6.402; P<0.01). There were significant individual differences in the discharge level, the growth rate, and the acceleration of patients′ acceptance of disability (estimated intercept variance=267.017, t=9.262; estimated slope variance=32.264, t=2.356; estimated curve slope variance=0.882, t=2.939; P<0.05 or P<0.01). There was no significant correlation among the discharge level, the growth rate, and the acceleration of the quality of life and those of the acceptance of disability of patients (estimated intercept and slope=37.273, -1.457, t=0.859, -0.131; estimated intercept and curve slope=-6.712, -0.573, t=-1.089, -0.248; estimated slope and curve slope=-5.494, -5.988, t=-0.930, -2.512; P>0.05). Among the time-constant covariates, only the severity of burn and the presence of complications had a significant impact on the quality of life of patients at discharge (estimated intercept=-10.721, 5.522, t=-6.229, 1.977, P<0.05 or P<0.01). At discharge and 1, 3, and 6 months after discharge, the level of acceptance of disability had a positive impact on the quality of life of patients (standardized regression coefficient=0.616, 0.669, 0.681, 0.678, t=18.874, 21.660, 22.824, 22.123, P<0.01).@*Conclusions@#The initial levels of quality of life and acceptance of disability of burn patients in the rehabilitation treatment stage are relatively low, both with a curve increasing trend over time, and the increasing rate gradually slows down. Patients with complications and serious burns have poor quality of life at discharge, while the acceptance of disability has a positive impact on the quality of life.
ABSTRACT
To compare two commonly used statistical approaches:the multilevel model and the latent growth curve model in analyzing longitudinal data. A longitudinal data set,obtained from the quality of life in patients with colorectal cancer after operation,was used to illustrate the similarities and differences between the two methods. Results from the study indicated that the latent growth curve modeling was equivalent to multilevel modeling with regards to longitudinal data which could yield identical results for the estimates of parameters. Multilevel model approach seemed easier for model specification. However,latent growth curve model had the advantage of providing model evaluation and was more flexible in statistical modeling by allowing the incorporation of latent variables. Both multilevel and latent growth curve models were suitable for analyzing longitudinal data with advantages on their own,they conld be chosen by researchers under different situation to be chosen accordingly by researchers under different situation.
ABSTRACT
To compare two commonly used statistical approaches:the multilevel model and the latent growth curve model in analyzing longitudinal data. A longitudinal data set,obtained from the quality of life in patients with colorectal cancer after operation,was used to illustrate the similarities and differences between the two methods. Results from the study indicated that the latent growth curve modeling was equivalent to multilevel modeling with regards to longitudinal data which could yield identical results for the estimates of parameters. Multilevel model approach seemed easier for model specification. However,latent growth curve model had the advantage of providing model evaluation and was more flexible in statistical modeling by allowing the incorporation of latent variables. Both multilevel and latent growth curve models were suitable for analyzing longitudinal data with advantages on their own,they conld be chosen by researchers under different situation to be chosen accordingly by researchers under different situation.
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Los impactos más importantes de las expresiones tempranas del daño neurológico en los niños, son las dificultades para establecer intercambios con su medio social, afectando en la etapa inicial las primeras interacciones con su madre. Niños con riesgo biológico muestran grandes dificultades para iniciar interacciones. Cuando las madres se ajustan en una relación bidireccional se logra un aumento en las iniciaciones del niño; si las madres responden menos, los niños disminuyen las iniciaciones y aumentan la irritabilidad. Los programas de intervención temprana que integran en sus estrategias el manejo de las interacciones madre-niño se han considerado exitosos por sus implicaciones directas en el desarrollo del niño. Se requiere mayor soporte empírico sobre la influencia de patrones específicos de interacciones tempranas madre-hijo y el desarrollo posterior de niños con daño neurológico perinatal, en términos de prevención de alteraciones o discapacidad. Se realizó un estudio longitudinal y se reporta el efecto de las interacciones de reciprocidad madre-hijo en el desarrollo motor observado en niños a los 4, 8 y 12 meses de edad, a través del empleo del Modelo de Ecuaciones Estructurales (Curva de Crecimiento Latente). Se concluye que el modelo permitió mostrar que en niños de riesgo perinatal, las interacciones madre-hijo representan un buen predictor del desarrollo motor en el primer año de vida. Estos hallazgos tienen importantes implicaciones en la práctica clínica como estrategia integral para el diseño de acciones de intervención temprana debido a que los logros motores en los primeros meses representan un indicador predictivo del desarrollo infantil posterior.
The most important impact of early expressions of neurological damage in children is the difficulty of mixing up in their social environment which at the beginning affects their interactions with their mother. Children with biological risks show great difficulties to begin interactions. When mothers get adjusted to bidirectional relations with neurologically damaged children, an increase in the commencement of interactions by a child is achieved, while fewer responses of the mother to child produce fewer interactions and increases irritability. Early intervention programs which contain in their strategies management of mother-infant interactions have been considered effective for child development. However, further empirical studies are required, concerning the influence of specific patterns of early mother-infant interaction and future development of children with perinatal neurological damage, in terms of prevention of alterations or disability. The present longitudinal study reports the effect of reciprocity of mother-infant interactions in the motor development observed in children of 4, 8, and 12 months old, latent growth curve in structural equation modeling. This model permits the identifications of causal factors that could affect the results in different age groups and provides predictions of the relations in a more complex form than lineal relations. Based on the model designed, it could be shown that mother-infant interactions of reciprocity best characterized children with higher development level while the absence is seen in children with retarded development. We classified mothers and children in two types, respectively: interactive and organized mothers vs. non-interactive and disorganized ones; interactive and responsive children vs. non-interactive and non-responsive ones. Subjecting these two types of mothers and children to four possible combinations, the model results showed different motor development predictions in the children. On one hand, we estimated regression coefficient of four dyadic systems, obtained by combinations of different types of mothers and children: interactive and organized mother with interactive and responsive child (Dyadic system 1); interactive and organized mother with non-interactive and non-responsive child (Dyadic system 2); non-interactive and disorganized mother with interactive and responsive child (Dyadic system 3); and non-interactive and disorganized mother with non-interactive and non-responsive child (Dyadic system 4). Dyadic system 1 was associated with a better motor development in children with a mayor regression coefficient (19.82), followed by System 2 and System 3 (regression coefficient of 17.54 and 11.46, respectively). System 4 had a negative estimate value of regression coefficient (-11.27) in our model. On the other hand, we estimated intercept values according to the interactive type of these mothers and children. Among the four interactive types, solely two of them had statistically significant intercepts (p < .05), 
or = 66.13 for interactive children and or = 42.76, for non-interactive children. To predict the motor development of 4, 8, and 12 months old children, the slope with attenuation permitted to give a mayor model fitting, with the regression coefficient of 0, 1 and 1.5, respectively. This model presented excellent values of model fitting indicators (X² = .96, p = .97, CFI = 1.00, RMSEA = .00). This line of study should be widened, because motor development is the principal domain consolidated in the first months of life. It is fundamental in domain organizations of higher complexity as cognition and language. We conclude that this model showed that in high risk perinatal children, early mother-child interactions represent a good predictor of motor development in the first year of life. Moreover, we found that motor achievements in the first months of life can be a strong predictive indicator of future development of a child. These findings suggest the importance in clinical practice of observation and registration of mother-child interactions as part of an integral strategy of child evaluation.
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To explore the improvement of clinical symptoms after treatment on patients with depression under the latent growth curve modeling.514 patients were studied with Hamilton Depression Rating Scale for depression and nonlinear conditional.Latent growth curve modeling was constructed to assess the features of outcome growth trajectory and possible related influencing factors.Results indicated that the outcome measure showing nonlinear growth trajectory and rapid drop during the first follow-up period and then declining or leveling off for the rest of the observation period on symptoms of anxiety,cognitive disturbance,retardation,sleeping disorder and HAMD scores.The variances of both latent intercept and the slope growth factor were statistically significant,indicating they varied across individuals.Gender did not show significant effect on both the intercept and the slope growth factor for the six outcomes,while age had a significant positive effect on initial weight loss,sleep disorder and HAMD scores at the baseline (0.015,0.048 and 0.068,P＜0.05) survey.Marriage showed significant positive effect on intercept factor of anxiety symptoms (0.563,P＜0.05) but negative effect on slope growth factor (-0.244,P＜0.05) while family history had significant positive effect on intercept factor regarding retardation (0.471,P＜0.05).The level of received education had a significant negative effect on intercept factor of anxiety symptoms and HAMD scores (-0.424 and-0.914,P＜0.05).Latent growth curve models allowed the researchers to study the overall growth trajectory as well as the captured individual differences on these trajectories over time,that also provided a powerful tool for the analysis on longitudinal data.
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This study assessed the moderating effect of social problem-solving (SPS) in the association between risk factors and peer victimization in a sample of Colombian adolescents. Using structural equation modeling techniques, this study assessed the extent to which changes in victimization varied as a function of the interaction between risk factors and social problem-solving. Results showed that both aggression and avoidance were predictive of initial scores on victimization, but only avoidance was found to predict its change over time. Only a main effect of SPS was found at the beginning of the year; no moderating effects were found. Results are consistent with previous findings by confirming that avoidance and aggression are risk factors for peer victimization.
Este estudio examinó el rol moderador de la habilidad para resolver problemas sociales (SPS) en la asociación entre factores de riesgo y la victimización, en una muestra de adolescentes colombianos. Mediante el uso de técnicas de ecuaciones estructurales se evaluó qué tanto cambió la victimización a lo largo del tiempo, en función de la interacción entre factores de riesgo y la SPS. Los resultados mostraron que la agresión y la evitación son factores de riesgo y predicen puntajes iniciales en la victimización. Sin embargo, únicamente la evitación predijo los cambios de dicha variable en el tiempo. Adicionalmente, se encontró un efecto de la SPS en la victimización al inicio del año escolar, pero no se encontraron efectos moderadores. Los resultados son consistentes con estudios previos en los que se observa que la evitación y la agresión son factores de riesgo en la victimización.
Este estudo examinou o papel moderador da habilidade para resolver problemas sociais (SPS) na associação entre fatores de risco e a vitimização, em uma amostra de adolescentes colombianos. Mediante o uso de técnicas de equações estruturais, avaliou-se quanto a vitimização ao longo do tempo mudou, em função da interação entre fatores de risco e a SPS. Os resultados mostraram que a agressão e a evitação são fatores de risco e predizem pontuações iniciais na vitimização. Contudo, unicamente a evitação prediz as mudanças de dita variável no tempo. Adicionalmente, constatou-se um efeito da SPS na vitimização ao início do ano escolar, mas não se encontraram efeitos moderadores. Os resultados são consistentes com estudos prévios nos quais se observa que a evitação e a agressão são fatores de risco na vitimização.
ABSTRACT
Objective To test the diathesis-stress component in the hopelessness theory and demonstrate the mediator effect of hopelessness in depression-generating process. Methods In the 6-month longitudinal study,latent growth curve model(LGM) was used in a sample of 269 Chinese undergraduates on the base of questionnaire investigation. Results The intercept for hopelessness depression had a significant association with the intercept for negative life events (path coefficient =0.48) and depressogenic attributional style (path coefficient=0.26).The slope for hopelessness depression had a significant association with the slope for negative life events (path coefficient=0.73). The complete mediator effect of hopelessness between depressogenic attributional style and the intercept for hopelessness depression was 0.143. The complete mediator effect of hopelessness between the slope for negative life events and the intercept for hopelessness depression was 0.131. The partial mediator effect of hopelessness between the intercept for negative life events and the intercept for hopelessness depression was 0.151.Conclusion Depressogenic attributional style interacted with the occurrence of negative events to predict the occurrence of hopelessness depression. Hopelessness made partial mediator effect on the hopelessness depression-generating process.