The purpose of this study is to identify the trajectories in the use time of children from community children centers and to examine the predictive factors and developmental factors related to each trajectory. The data were derived from the second stage of the Community Children Center Panel Survey using from the first wave (2014) to the third wave (2016). A total of 606 samples were selected from the forth to sixth grades of elementary school. Latent class growth model was employed to identify the trajectories, and the multinominal logistic regression and the logistic regression analysis were used to examine predictive factors and developmental factors. Main results indicated that three types of trajectory were identified: high using group, low using group, and high initial using-rapid declining group. Sex, parental supervision, and use duration were found to be significant predictors. Regarding developmental factors, children who constantly use the community children centers were more likely to increase academic performance and school adaptation. However, no significant results were found for aggression and delinquent behaviors. Based on these findings, this study have suggested the future direction of the community children center.
Considering the reality that the baby boom generation which takes up 15% of the Korean population enters the old age, this study aimed to investigate level and factors affecting successful aging of the baby boom generation. The theory this study used is Rowe & Kahn, and the data it used are from 2,577 persons combining respondents of the fifth basic survey and the special survey of Korean Longitudinal Study of Ageing. This study utilized IBM SPSS Statistics ver. 20.0 for analysis, and the main results of this study were as follows. First, successful aging level of the baby boom generation was $6.36{\pm}1.39$(range: 0~9), proving that they consider their aging as successful. However, depending on sub-factors of successful aging, proportion that they viewed themselves as successfully aging were quite different. Second, examination of factors affecting successful aging of the generation found out that pocket money, educational level, and child-parents relationship satisfaction are important. By applying the theory of Rowe & Kahn which can be called the representative model of successful aging, this study examined successful aging and extracted some suggestions for future researches.
This study aims to identify effects of outplacement support program for discharged soldier to settle and adapt successfully in Ministry of Patriots and Veterans Affairs. The subject of this study are 323 discharged soldiers who completed the outplacement support program. A survey questionnaire is conducted to measure variables of this study. All data analysis is accomplished using the AMOS 7.0 version. The results of this study are as follows. First, learning motivation has direct effect on learning flow and program satisfaction positively. Second, organizational support has direct effect on program satisfaction, psychological stability positively and on learning flow negatively. Third, outplacement support program has direct effect on learning flow, program satisfaction, job-seeking efficacy and psychological stability positively. Fourth, learning flow has direct effect on program satisfaction positively but don't have direct effect on job-seeking efficacy and psychological stability significantly. Fifth, learning motivation, outplacement support program has direct effect on job-seeking efficacy and psychological stability with partial mediation effect of program satisfaction while without mediation effect of learning flow. Based on the results of the study, the following recommendations have been made. First, it is necessary to design the outplacement support program with contents in relation to discharged soldiers' successful settlement because discharged soldiers who completed the outplacement support program showed higher job-seeking efficacy and psychological stability. Second, it is needed to conduct a longitudinal study considering other variables such as employment, establishment success etc.
This study was to investigate depressive symptoms of caregiving grandmothers in South Korea and related factors focusing on caregiving characteristics. The data were drawn from the fourth wave of Korean Longitudinal Study on Ageing (KLoSA). The study participants were 3,291 grandmothers who had at least one grandchild, and we limited our analysis to 127 grandmothers who had provided care for their grandchild(ren) during the past one year. As for the depressive symptoms, Center for Epidemiological Survey-Depression 10(CES-D 10) short version were applied. Caregiving characteristics including caregiving duration by weeks per year, caregiving hours per week and the number of grandchildren who received grandmother care were examined. A multiple logistic regression was performed to detect association between caregiving characteristics and depressive symptoms while adjusting for general socioeconomic characteristics and health status of caregiving grandmothers. The longer duration of caregiving lowered the depressive symptoms and in contrast, those who spent more hours for providing care to their grandchildren were more exposed to the depressive symptoms. Physical pain significantly increased their depressive symptoms and low income level were more likely to induce depressive symptoms. More detailed studies on grandchild caregiving patterns among grandmothers were needed. Also, tailored support policy and services should be considered to alleviate their burden and depression in the future.
The purpose of this study is to investigate the moderating effect of home-based welfare facilities for older adults on the associations between the activities of daily living (ADL) / instrumental activities of daily living (IADL) and the depressive symptoms among Koreans in later life. Multilevel analysis was conducted with Korean Longitudinal Study of Aging 5th data and the public report about welfare facilities from Ministry of Health and Welfare in Korea. Samples were 4,139 older adults over 65 years old. The dependent variable was depressive symptoms, and individual level independent variables were ADL and IADL. The ratio of home-based welfare facilities out of 10,000 older adults in each city and province was the moderator. As a result, the effects of ADL on depressive symptoms vary according to the proportion of elderly welfare facilities out of the old population in the community. In specific, the older adults who live in the place where the elderly welfare facility rate was higher were less affected by ADL. Also, the more IADL people had, the more depressive symptoms they had. However, the interaction effect between IADL and the proportion of home-based welfare facilities was not significant. It suggests that delivering welfare services helping ADL through the home-based welfare facilities may be useful for decreasing depressive symptoms. Moreover, considering the proportion of facilities and older population will be helpful to make the welfare facilities efficiently work.
This study examined the moderating effect self-rated health has on the association between grandparenting and depressive symptoms. The fourth wave (in 2012) of the Korean Longitudinal Study of Ageing (KLoSA) was used for the analyses (N=650). The Coarsened Exact Matching (CEM) method was applied in order to ensure randomness in the selection of grandparents who participated in grandparenting and those who did not. The dependent variable was depressive symptoms, the independent variable was grandparenting, and the moderating variable was self-rated health. Control variables were education level, age, household income, gender, marital status and life satisfaction. After matching data by CEM, weighted multiple regression was applied with STATA 13.0. Also, simple slope analysis and region of significance were performed to interpret the interaction terms. The results showed that self-rated health had a significant moderating effect. Specifically, for grandparents with high self-rated health, grandparenting was associated with a lower level of depressive symptoms. On the contrary, for grandparents with low self-rated health, there was no difference depending on whether they participated in raising grandchildren. Based on these results, we discussed the need for consideration of self-rated health for grandparents who participated in grandparenting.
This study aims to explore health behavior profiles and the association between the derived profiles and living arrangement among middle-aged and older adults. Using data from wave 6 (2016) of the Korean Longitudinal Study of Aging, latent profile analyses were applied to identify patterns of health behaviors and multinomial logistic regression models were conducted to predict profile membership using living arrangement (i.e., living alone, living with spouse only, living with family members) and sociodemographic characteristics. A sample of 7,048 respondents aged 55 and older were included in the study. Results revealed that Korean middle-aged and older adults can be grouped into four health behavior profiles: "High health-compromising" (4%), "Moderate health-compromising" (28%), "Low health-compromising" (65%), and "High physical activity" (3%). Also, living arrangement showed significant profile differences. Compared to the respondents living alone, those living with spouse only were more likely to belong to low and moderate levels of health-compromising behavior profiles than the "High physicial activity profile". Respondents living with family members were more likely to belong to the "High health-compromising profile" than the "High physical activity profile" compared to those living with spouse only. These findings indicate that living arrangement needs to be taken into consideration when developing health promoting programs and supports. Moreover, policy interventions suiting the needs of various sociodemographic subgroups are recommended.
de Sousa, Vanusa Castro;Biagiotti, Daniel;Sarmento, Jose Lindenberg Rocha;Sena, Luciano Silva;Barroso, Priscila Alves;Barjud, Sued Felipe Lacerda;de Sousa Almeida, Marisa Karen;da Silva Santos, Natanael Pereira
Animal Bioscience
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v.35
no.5
/
pp.648-658
/
2022
Objective: The identification of nonlinear mixed models that describe the growth trajectory of New Zealand rabbits was performed based on weight records and carcass measures obtained using ultrasonography. Methods: Phenotypic records of body weight (BW) and loin eye area (LEA) were collected from 66 animals raised in a didactic-productive module of cuniculture located in the southern Piaui state, Brazil. The following nonlinear models were tested considering fixed parameters: Brody, Gompertz, Logistic, Richards, Meloun 1, modified Michaelis-Menten, Santana, and von Bertalanffy. The coefficient of determination (R2), mean squared error, percentage of convergence of each model (%C), mean absolute deviation of residuals, Akaike information criterion (AIC), and Bayesian information criterion (BIC) were used to determine the best model. The model that best described the growth trajectory for each trait was also used under the context of mixed models, considering two parameters that admit biological interpretation (A and k) with random effects. Results: The von Bertalanffy model was the best fitting model for BW according to the highest value of R2 (0.98) and lowest values of AIC (6,675.30) and BIC (6,691.90). For LEA, the Logistic model was the most appropriate due to the results of R2 (0.52), AIC (783.90), and BIC (798.40) obtained using this model. The absolute growth rates estimated using the von Bertalanffy and Logistic models for BW and LEA were 21.51g/d and 3.16 cm2, respectively. The relative growth rates at the inflection point were 0.028 for BW (von Bertalanffy) and 0.014 for LEA (Logistic). Conclusion: The von Bertalanffy and Logistic models with random effect at the asymptotic weight are recommended for analysis of ponderal and carcass growth trajectories in New Zealand rabbits. The inclusion of random effects in the asymptotic weight and maturity rate improves the quality of fit in comparison to fixed models.
This study investigated whether the increased Basic Pension amount in 2014 affect the level of depression of recipients and whether the effect differs according to three groups by household type(living-alone male, living-alone female, and couple households). Data from two waves of the Korean Longitudinal Study of Ageing(KLoSA) in 2012 (before the introduction of the Basic Pension) and 2016 (after the introduction of the Basic Pension), the elderly aged 65 years or older as of 2012 and the recipients of the basic pension in 2016 (N=2,277) were analyzed. Using the statistical package SPSS 25, mean comparison and multiple regression analyses were implemented. The results confirmed that the level of depression in female elderly living alone and married couples significantly decreased after the introduction of the Basic Pension, while there was no significant change in the level of depression in male elderly living alone. As results of regression analysis in the whole sample, the increased Basic Pension amount had an effect on the depression level of recipients in 2016, the higher the Basic Pension increase, the lower the depression level. Also, the regression analyses among the three groups by household type found that the significant effect of raising the basic pension on depression was reported only in elderly women living alone. Based on the main results of this study, implications were presented.
Journal of Korean Home Economics Education Association
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v.33
no.4
/
pp.31-48
/
2021
The purpose of this study was to provide an understanding of the trajectories of multidimensional health among older adults, including depression, chronic diseases, and cognitive function. Data were drawn from the 1-6 waves of the Korean Longitudinal Study of Ageing(KLoSA), and a sample of 2,059 respondents aged 65 and older at baseline was used for the analyses. Latent growth curve models and growth mixture models were used to explore the changes in depression, chronic diseases, cognitive function, and heterogeneous trajectories among them. One-way ANOVAs with Scheffé post-hoc analysis and chi-square tests were used to find differences in sociodemographic characteristics, health behaviors, and life satisfaction across the latent trajectory classes. Latent growth curve models revealed that depressive symptoms and the number of chronic diseases increased over time, while cognitive function showed gradual decreases. Three heterogeneous patterns of multidimensional health trajectories were identified: normal aging, increase in chronic diseases, and chronic deterioration. Significant differences were observed in sociodemographic characteristics, health behaviors, and life satisfaction across the three latent classes. In particular, low educational attainment, household income, and life satisfaction were associated with the chronic deterioration class. Based on the findings, we discussed suggestions for health promotion education targeting older adults. This study also emphasizes the importance of home economics education in promoting health literacy across the life course.
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