Trajectories of Depressive Symptoms among Multicultural Adolescents in Korea: Longitudinal Analysis Using Latent Class Growth Model

Family socioeconomic status and adolescent depression in urban and rural China: A trajectory analysis

Background

Depression is increasingly prevalent among Chinese adolescents, with socioeconomic status (SES) serving as a significant predictor. Understanding the link between family SES and depression is of paramount concern. This study aimed to delineate the developmental paths of depressive symptoms among urban and rural Chinese adolescents, focusing on the influence of family SES on these trajectories.

Methods

Data from the China Family Panel Studies (CFPS) for 2012, 2016, and 2018 were used in this study. Participants were individuals aged 10 to 15 in the 2012 wave who also participated in the 2016 and 2018 waves (N = 1214). Family SES was measured by household income, parental education, and occupational status, while depressive symptoms were measured by the Center for Epidemiologic Studies Depression (CES-D) scale. Employing the Growth Mix Model (GMM) unveiled depression trajectories, while logistic regression scrutinized the impact of family SES on these trajectories.

Results

The study identified three depression trajectories in urban adolescents: high-decreasing, low-stable, and low-rising levels of depressive symptoms, and two depression trajectories in rural adolescents: high-decreasing and low-stable levels of depressive symptoms. On average, rural adolescents reported higher depression levels than urban peers. In urban areas, adolescents with higher maternal education and parental occupation were more likely to be classified in the low-stable trajectory, while in rural areas only maternal education had predictive power for depression trajectories.

Conclusions

Depression trajectories differ between urban and rural in China. Maternal education is an important factor influencing rural sample grouping. Targeted interventions could be implemented to reduce depression in adolescents.

Immigrant-origin youths at risk: Trends in suicidal behaviors among Korean adolescents by immigrant origins and ethnic options (2011-2019)

BACKGROUND

In line with the immigrant paradox, immigrants' health advantages disappear among second-generation immigrant-origin youths, including a high prevalence of suicidal behaviors. Nevertheless, the secular trend in suicidal behaviors among immigrants in South Korea has not been examined. While Korean society was once considered homogeneous, intra-Asian migration has increased in recent decades. It is needed to explore the relationship between ethnic options and mental health outcomes among immigrant-origin youths, including suicidal behaviors.

METHODS

Using the nationally representative Korean Youth Risk Behavior Survey from 2011 to 2019 (600,541 non-immigrant-origin and 6,085 immigrant-origin), we examined the rates of suicidal behaviors to identify trends among youths with/without immigrant-origin and depending on the visibility of their immigrant-origin. Then, we conducted logistic regression to examine whether visibility is associated with higher suicidal behaviors among immigrant-origin youths.

RESULTS

Overall, suicidal behaviors have declined, but immigrant-origin youths showed higher levels of suicidal behaviors than non-immigrant-origin youths. Visible minority youths showed higher suicidal behaviors than their invisible counterparts, particularly in suicidal planning and suicide attempts. Among immigrant-origin youths, visible minority status was associated with higher suicidal thoughts, plans, and attempts, controlling for socio-economic factors. Furthermore, female immigrant-origin youths show higher suicidal behaviors than their male counterparts.

CONCLUSIONS

The results suggest that data disaggregation is needed when examining the mental health of immigrant-origin youths. Practitioners and policymakers should pay particular attention to immigrant-origin youths and recognize that their visibility may be associated with their risk of suicidal behaviors. Targeted intervention is also required for female visible minority youths.

Profiles of Social Capital and the Association With Depressive Symptoms Among Multicultural Adolescents in Korea: A Latent Profile Analysis

Low social capital has been reported to be associated with depression in adolescents. In general, adolescents with immigrant backgrounds lack social capital. By employing a latent profile analysis (LPA) for the specification of social capital among multicultural adolescents, depression interventions can be explored through the framework of social capital. The purpose of this study was to identify distinct latent profiles of social capital and explore the depressive symptoms of multicultural adolescents in those profiles. Data of 1,244 adolescents from the Multicultural Adolescents Panel Survey (MAPS) were used, which was conducted for 3rd-year middle school students in 2016. An LPA was used to identify profiles by different social capital classes and Quade's non-parametric ANCOVA was used to confirm the differences in depressive symptoms between profiles. Latent profile analysis indicated four classes. Analysis revealed that there were differences in the level of depressive symptoms according to the social capital sub-profiles (F = 44.42, p < 0.001). Class 1 had the lowest level of depressive symptoms (13.91 ± 4.43) and Class 4 had the highest level (18.07 ± 5.25). The depressive symptoms scores of Classes 2 and 3 were 16.49 ± 5.27 and 16.74 ± 4.95, respectively. These findings provide insight into the interplay between social capital and depressive symptoms among multicultural adolescents. Support in consideration of differences in social capital is needed to reduce depression among multicultural adolescents.

A Longitudinal Analysis of Alcohol Use Behavior among Korean Adults and Related Factors: A Latent Class Growth Model

This study classified the changes in alcohol use behavior among Korean adults and explored the related factors. The study used data from the 4th (2009) to 14th (2019) waves of the Korean Welfare Panel Study. The subjects were 8267 adults aged 19-60 years. Latent class growth analysis was used to classify the latent classes of alcohol use behavior among Korean adults, and logistic regression analysis was performed to identify the specific factors that form the classes. Additionally, the 11-year trajectories of major variables associated with alcohol use behavior for the derived classes were analyzed using growth mixture modeling. Four classes were identified according to the trajectories of alcohol use behavior. There were statistically significant differences in the trajectories of depression, self-esteem, satisfaction in family relationships, and satisfaction in leisure activities according to the class of alcohol use behavior. In particular, self-esteem and satisfaction in family relationships indicated distinctly decreasing trajectories in the low- to moderate-risk class, which suggested the need for longitudinal analysis of the factors that influence alcohol use behavior. Moreover, it is recommended that interventions for the prevention of high-risk drinking target not only individuals but also family units.

Analyzing Gender Differences in Factors Affecting Depression among Multicultural Adolescents in South Korea: A Cross-Sectional Study

Suicide is the topmost cause of death among adolescents in South Korea and is deeply related to depression. This study aimed to identify gender differences in the factors affecting depression among multicultural adolescents. This study is a secondary analysis using data from a national survey, the Multicultural Adolescents Panel Study (MAPS) conducted in 2017. The participants were 1160 multicultural adolescents ranging from 15 to 18 years, living in Korea, and whose fathers were Koreans and mothers were foreigners. The results showed that depression scores were higher for females (18.35) than males (16.38, t = 6.42, p < 0.001). In total, seven factors affected depression among male multicultural adolescents’ and the model explained 50.5% of the total variance (F = 77.99, p < 0.001), while four factors affected female multicultural adolescents’ depression, and the model explained 51.4% of the total variance (F = 100.02, p < 0.001). Significant gender differences were found in factors that influence depression among multicultural adolescents. Therefore, depression prevention programs for multicultural adolescents need to vary according to gender. Additionally, these programs should target families and teachers of multicultural adolescents as well.