| Literature DB >> 33172147 |
Min Kyung Song1, Ju Young Yoon2,3, Eunjoo Kim2,4.
Abstract
The purpose of this study was to investigate the trajectory of depressive symptoms in multicultural adolescents using longitudinal data, and to identify predictive factors related to depressive symptoms of multicultural adolescents using latent class analysis. We used six time-point data derived from the 2012 to 2017 Multicultural Adolescents Panel Study (MAPS). Latent growth curve modeling was used to assess the overall features of depressive symptom trajectories in multicultural adolescents, and latent class growth modeling was used to determine the number and shape of trajectories. We applied multinomial logistic regression analysis to each class to explore predictive factors. We found that the overall slope of depressive symptoms in multicultural adolescents increased. Latent class analysis demonstrated three classes: (1) high-increasing class (i.e., high intercept, significantly increasing slope), (2) moderate-increasing class (i.e., moderate intercept, significantly increasing slope), and (3) low-stable class (i.e., low intercept, no significant slope). In particular, we found that the difference in the initial intercept of depressive symptoms determined the subsequent trajectory. There is a need for early screening for depressive symptoms in multicultural adolescents and preparing individual mental health care plans.Entities:
Keywords: MAPS; adolescent; cultural diversity; depression; latent class analysis; migrants; multicultural adolescents; panel survey
Year: 2020 PMID: 33172147 PMCID: PMC7664400 DOI: 10.3390/ijerph17218217
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
General characteristics of multicultural adolescents according to the 2012 Multicultural Adolescents Panel Study (MAPS) data (n = 1432).
| Variables | Categories | n (%) or | Observed Range | Possible Range |
|---|---|---|---|---|
|
| ||||
| Gender | Boy | 700 (48.9) | ||
| Girl | 732 (51.1) | |||
| Age (years) | 10.97 ± 0.36 | |||
| 10 | 105 (7.3) | |||
| 11 | 1267 (88.5) | |||
| 12 | 53 (3.7) | |||
| 13 | 6 (0.4) | |||
| 14 | 1 (0.1) | |||
| Geographic location | Metropolis | 379 (26.5) | ||
| Urban 1 | 650 (45.4) | |||
| Rural | 403 (28.1) | |||
| Monthly Household income | 218.92 ± 106.45 | 0–1000 | ||
| Obesity | Yes | 950 (66.3) | ||
| No | 482 (33.7) | |||
| Body satisfaction | 17.69 ± 3.01 | 7–24 | 6-24 | |
| Academic achievement satisfaction | 2.78 ± 0.77 | 1–4 | 1–4 | |
| Self-esteem | 3.17 ± 0.55 | 1–4 | 1–4 | |
| Ego-resiliency | 2.95 ± 0.47 | 1–4 | 1–4 | |
|
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| Type of multicultural family | Immigrant father | 56 (3.9) | ||
| Immigrant mother | 1376 (96.1) | |||
| Country of mother | Korea | 56 (3.9) | ||
| China | 373 (26.0) | |||
| South-East Asia | 447 (31.2) | |||
| Japan and others 2 | 556 (38.8) | |||
| Country of father | Korea | 1304 (96.1) | ||
| China | 3 (0.2) | |||
| South-East Asia | 6 (0.4) | |||
| Japan and others 3 | 44 (3.2) | |||
| Immigrant parents’ Korean proficiency | 3.14 ± 0.57 | 1–4 | 1–4 | |
| Multicultural adolescents’ Korean proficiency | 3.63 ± 0.50 | 1.5–4 | 1–4 | |
| Acculturation stress | 14.43 ± 3.66 | 10–34 | 10-40 | |
|
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| Family support | 3.18 ± 0.59 | 1–4 | 1-4 | |
| Parenting attitude (neglect) | 1.85 ± 0.55 | 1–3.43 | 1-4 | |
| Peer support | 3.89 ± 0.84 | 1–5 | 1–5 | |
| Bullying experience (victim) | 1.12 ± 0.35 | 1–4 | 1–4 | |
| Teacher support | 3.66 ± 0.89 | 1–5 | 1–5 | |
| School adaptation (learning) | 2.93 ± 0.49 | 1–4 | 1–4 | |
|
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| Depressive symptoms | 2012 | 16.02 ± 5.26 | 10–40 | 10–40 |
| 2013 (n = 1423) | 16.08 ± 5.27 | 10–40 | ||
| 2014 (n = 1361) | 16.40 ± 5.34 | 10–37 | ||
| 2015 (n = 1327) | 16.94 ± 5.36 | 10–40 | ||
| 2016 (n = 1309) | 17.15 ± 5.36 | 10–40 | ||
| 2017 (n = 1241) | 17.40 ± 5.52 | 10–38 | ||
1 city except metropolis; 2 Japan = 484, others = 72; 3 Japan = 18, others = 26.
Trajectory of depressive symptoms among multicultural adolescents (n = 1432).
| Mean | SE | Model Fit | ||||
|---|---|---|---|---|---|---|
| CFI | TLI | RMSEA | ||||
| Intercept | 15.878 * | 0.120 | 77.767 | 0.964 | 0.966 | 0.052 |
| Slope | 0.330 * | 0.032 | ||||
CFI = comparative fit index; TLI = Tucker–Lewis index; RMSEA = root mean square error of approximation; * p < 0.001.
Determining the number of latent classes according to the development trajectory of depressive symptoms (n = 1432).
| 2-Class Model | 3-Class Model | 4-Class Model | 5-Class Model | |||
|---|---|---|---|---|---|---|
| Model fit | AIC | 48,490.447 | 48,128.987 | 48,037.590 | 47,948.608 | |
| BIC | 48,548.382 | 48,202.723 | 48,127.126 | 48,053.945 | ||
| Adjusted BIC | 48,513.439 | 48,158.250 | 48,073.123 | 47,990.412 | ||
| Entropy | 0.712 | 0.756 | 0.713 | 0.695 | ||
| LMR test | 2LL | 1632.370 | 367.459 | 97.397 | 94.982 | |
|
| <0.001 | <0.001 | 0.218 | 0.129 | ||
| n (%) by latent class | Class 1 | 577 (40.3) | 128 (8.9) | 589 (41.1) | 117 (8.2) | |
| Class 2 | 855 (59.7) | 672 (46.9) | 33 (2.3) | 502 (35.1) | ||
| Class 3 | 632 (44.1) | 508 (35.5) | 304 (21.2) | |||
| Class 4 | 302 (21.1) | 33 (2.3) | ||||
| Class 5 | 476 (33.2) | |||||
AIC = Akaike information criterion; BIC = Bayesian information criterion; LMR = Lo–Mendell–Rubin; LL = log likelihood.
Intercept and slope of each class.
| Classes | Intercept ( | Slope ( |
|---|---|---|
| Class 1 (High-Increasing class) | 22.218 (<0.001) | 0.644 (<0.001) |
| Class 2 (Moderate-Increasing class) | 17.073 (<0.001) | 0.514 (<0.001) |
| Class 3 (Low-Stable class) | 13.208 (<0.001) | 0.063 (0.292) |
Figure 1Latent classes of depressive symptom trajectories.
Multinomial logistic regression analysis.
| Variables | Class 1 (n = 128): | Class 3 (n = 632): | |||
|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | ||
|
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| Gender | Boy |
|
|
|
|
| Girl | Reference | ||||
| Age (years) | 0.917 | 0.551–1.526 | 0.892 | 0.636–1.250 | |
| Geographic location | Metropolis | 0.959 | 0.519–1.773 | 0.785 | 0.564–1.092 |
| Urban1 |
|
|
|
| |
| Rural | Reference | ||||
| Monthly household income (log) | 1.123 | 0.428–2.946 | 1.312 | 0.741–2.322 | |
| Obesity | Yes | 0.959 | 0.618–1.489 | 1.115 | 0.862–1.441 |
| No | Reference | ||||
| Body satisfaction | 0.973 | 0.895–1.058 | 1.001 | 0.951–1.055 | |
| Academic achievement satisfaction | 0.933 | 0.696–1.251 | 1.017 | 0.854–1.211 | |
| Self-esteem | 0.963 | 0.578–1.606 | 1.342 | 0.979–1.840 | |
| Ego-resiliency | 1.349 | 0.744–2.443 |
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| |
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| Type of multicultural family | Immigrant father | 1.832 | 0.676–4.964 | 1.140 | 0.594–2.186 |
| Immigrant mother | Reference | ||||
| Country of immigrant parent | China | 1.171 | 0.691–1.986 | 1.199 | 0.874–1.644 |
| South-East | 0.987 | 0.600–1.623 | 1.286 | 0.956–1.729 | |
| Japan and others | Reference | ||||
| Immigrant parent’s Korean proficiency | 0.926 | 0.613–1.401 | 0.862 | 0.675–1.100 | |
| Multicultural adolescents’ Korean proficiency | 1.023 | 0.691–1.515 | 1.280 | 0.984–1.664 | |
| Acculturation stress | 1.029 | 0.976–1.085 |
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| Family support | 0.811 | 0.551–1.196 |
|
| |
| Parenting attitude (neglect) |
|
| 0.971 | 0.761–1.237 | |
| Peer support |
|
| 1.057 | 0.859–1.300 | |
| Victim of bullying |
|
|
|
| |
| Teacher support | 1.251 | 0.938–1.669 | 1.073 | 0.898–1.281 | |
| School adaptation (learning) | 0.695 | 0.404–1.198 |
|
| |
Reference group = class 2: moderate-increasing class (n = 672); OR = odds ratio; CI = confidence interval; bold figures indicate significant associations (p < 0.05). 1 city except metropolis.