| Literature DB >> 35873266 |
Shogo Hihara1, Kohei Kambara2, Tomotaka Umemura3, Kyonosuke Handa3, Kazumi Sugimura3.
Abstract
Objective: Hikikomori, a prolonged form of social withdrawal, has received attention in various research areas. This longitudinal study aimed to identify diverse trajectories of hikikomori symptoms among young Japanese adults engaged in a job search. It also tested whether identity distress, a critical developmental issue, predicts these trajectories while controlling for other risk factors (depressive symptoms, life satisfaction, career expectations, and gender).Entities:
Keywords: Japan; hikikomori; identity distress; job search; longitudinal; trajectories; young people
Year: 2022 PMID: 35873266 PMCID: PMC9301010 DOI: 10.3389/fpsyt.2022.897806
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Demographic information of the present sample.
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| Gender | Men | 159 (21.03) | 48 (18.05) | 23 (13.53) |
| Women | 597 (78.97) | 218 (81.95) | 147 (86.47) | |
| Age | 20 | 203 (26.85) | — | — |
| 21 | 440 (58.20) | — | — | |
| 22 | 113 (14.95) | — | — | |
| Father's educational level | Secondary school | 232 (30.69) | 86 (32.33) | 60 (35.29) |
| Higher education | 466 (61.64) | 164 (61.65) | 96 (56.47) | |
| Missing | 58 (7.67) | 16 (6.02) | 14 (8.24) | |
| Mother's educational level | Secondary school | 229 (30.29) | 111 (41.73) | 67 (39.41) |
| Higher education | 490 (64.81) | 145 (54.51) | 94 (54.29) | |
| Missing | 37 (4.89) | 10 (3.76) | 9 (5.29) | |
| Region | Hokkaido (North part) | 63 (8.33) | 3 (1.13) | 3 (1.76) |
| Tohoku (Northeast part) | 115 (15.21) | 18 (6.77) | 7 (4.12) | |
| Chubu (Middle part) | 106 (14.02) | 34 (12.78) | 25 (14.71) | |
| Kanto (Middle east part) | 203 (26.85) | 108 (40.61) | 65 (38.24) | |
| Kinki (Middle west part) | 177 (23.41) | 60 (22.56) | 50 (29.41) | |
| Chugoku (West part) | 113 (14.95) | 16 (6.02) | 8 (4.71) | |
| Shikoku (Southwest part) | 14 (1.85) | 4 (1.50) | 3 (1.76) | |
| Kyushu (South part) | 121 (16.01) | 23 (8.65) | 9 (5.29) | |
T, time.
Descriptive statistics of the study variables.
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| Hikikomori symptoms | T1 | 2–99 | 0 | 100 | 41.40 | 17.52 | 0.16 | 0.08 |
| T2 | 2–100 | 0 | 100 | 47.04 | 17.07 | −0.05 | 0.48 | |
| T3 | 1–97 | 0 | 100 | 48.05 | 16.86 | 0.16 | 1.14 | |
| Identity distress | T1 | 7–35 | 7 | 35 | 18.09 | 5.17 | 0.13 | 0.15 |
| Depressive symptoms | T1 | 20–77 | 20 | 80 | 39.87 | 10.09 | 0.62 | 0.01 |
| Life satisfaction | T1 | 5–35 | 5 | 35 | 19.32 | 6.51 | −0.14 | −0.11 |
| Career expectations | T1 | 4–20 | 4 | 20 | 14.78 | 3.25 | −0.73 | 0.93 |
T, time; Min, minimum value; Max, maximum value; M, mean; SD, standard deviation.
Bivariate correlations between predictors at T1 and hikikomori symptoms across T1–T3.
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| Identity distress | 0.34 | 0.25 | 0.16 |
| Depressive symptoms | 0.51 | 0.49 | 0.37 |
| Life satisfaction | −0.39 | −0.36 | −0.32 |
| Career expectation | −0.25 | −0.17 | −0.15 |
| Gender (0 = men; 1 = women) | −0.07 | −0.07 | −0.00 |
T, time.
p < 0.05,
p < 0.01,
p < 0.001.
Model fits statistics for latent class growth analyses.
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| One class | 10,200.022 | — | — | — |
| Two classes | 10,046.891 | 0.549 | 155.660 | <0.001 |
| Three classes | 9,876.699 | 0.787 | 171.904 | <0.001 |
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| Five classes | 9,824.865 | 0.721 | 22.856 | 0.074 |
| Six classes | 9,806.018 | 0.747 | 27.807 | 0.266 |
SSA-BIC, sample size adjusted Bayesian information criterion; LMR-LRT, Lo-Mendell-Rubin likelihood ratio test; the preferred model is highlighted in bold.
Growth parameters for the final four-class model.
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| Intercept | 75.71 (2.53) | 49.18 (0.69) | 27.82 (1.46) | 15.99 (1.91) |
| Slope | 1.49 (1.78) | 1.75 (0.48) | 6.03 (1.35) | −0.40 (1.51) |
| Mean percentage of times that the hikikomori score exceeded the cutoff point | 100.00 | 80.03 | 6.27 | 0.00 |
M, mean; SE, standard error.
p < 0.001.
Figure 1The four trajectories of hikikomori symptoms.
Analyses of multinomial logistic regression on trajectories of hikikomori symptoms.
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| Very high risk stability | High risk slight increase | 1.07 [1.00, 1.16] | 1.04 [1.00, 1.07] | 0.88 [0.83, 0.92] | 0.94 [0.86, 1.03] | 1.42 [0.60, 3.39] |
| Low risk increase | 1.12 [1.03, 1.21] | 1.12 [1.08, 1.17] | 0.84 [0.79, 0.90] | 0.85 [0.76, 0.94] | 0.66 [0.25, 1.71] | |
| Low risk stability | 1.15 [1.04, 1.27] | 1.17 [1.10, 1.24] | 0.79 [0.73, 0.85] | 0.82 [0.71, 0.94] | 0.57 [0.17, 1.88] | |
| High risk slight increase | Low risk increase | 1.04 [1.00, 1.08] | 1.09 [1.06, 1.11] | 0.96 [0.94, 0.99] | 0.90 [0.85, 0.96] | 0.46 [0.29, 0.74] |
| Low risk stability | 1.07 [1.00, 1.15] | 1.13 [1.07, 1.19] | 0.90 [0.85, 0.95] | 0.87 [0.78, 0.97] | 0.43 [0.17, 0.94] | |
| Low risk increase | Low risk stability | 1.03 [0.96, 1.10] | 1.04 [0.99, 1.09] | 0.93 [0.88, 0.99] | 0.97 [0.87, 1.08] | 0.87 [0.37, 2.04] |
OR, odds ratio; 95% CI, 95% confidence interval.
p < 0.05,
p < 0.01,
p < 0.001.