| Literature DB >> 31849046 |
Paul Lichtenstein1, Martin Cederlöf1, Sebastian Lundström2,3, Brian M D'Onofrio1,4, Henrik Anckarsäter2, Henrik Larsson5, Erik Pettersson1.
Abstract
BACKGROUND: We examined whether childhood conduct problems predicted a wide range of adverse outcomes in emerging adulthood and whether the association with internalizing problems remained after adjusting for general comorbidity and externalizing problems.Entities:
Keywords: Twins; comorbidity; conduct disorder; externalizing disorder; internalizing disorder
Year: 2019 PMID: 31849046 PMCID: PMC7384167 DOI: 10.1111/jcpp.13169
Source DB: PubMed Journal: J Child Psychol Psychiatry ISSN: 0021-9630 Impact factor: 8.982
Frequencies and proportions of individuals with and without childhood conduct symptoms by adverse outcomes in emerging adulthood by sex
| Childhood conduct symptoms | ||||||
|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5–8 | |
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| |
| Depression | 198 (1.59) | 60 (2.05) | 42 (2.86) | 27 (3.18) | 13 (2.90) | 22 (4.91) |
| Females | 142 (2.21) | 40 (2.97) | 22 (3.31) | 13 (3.85) | 7 (3.98) | 10 (6.58) |
| Males | 56 (0.93) | 20 (1.27) | 20 (2.49) | 14 (2.73) | 6 (2.21) | 12 (4.05) |
| Anxiety | 253 (2.04) | 59 (2.02) | 55 (3.75) | 46 (5.42) | 20 (4.49) | 30 (6.73) |
| Females | 168 (2.61) | 28 (2.08) | 33 (4.97) | 25 (7.42) | 9 (5.17) | 15 (10.00) |
| Males | 85 (1.62) | 31 (1.96) | 22 (2.74) | 21 (4.10) | 11 (4.06) | 15 (5.07) |
| Anti‐depressant/sedative medication | 862 (6.95) | 263 (9.05) | 166 (11.41) | 128 (15.27) | 74 (16.70) | 111 (25.69) |
| Females | 544 (8.77) | 145 (10.85) | 80 (12.14) | 55 (16.47) | 28 (16.09) | 40 (27.59) |
| Males | 318 (5.32) | 118 (7.51) | 86 (10.8) | 73 (14.43) | 46 (17.10) | 71 (24.74) |
| Suicide attempt | 120 (0.97) | 34 (1.17) | 21 (1.44) | 12 (1.42) | 7 (1.57) | 9 (2.03) |
| Females | 67 (1.05) | 17 (1.27) | 11 (1.66) | 6 (1.78) | 3 (1.70) | 6 (3,97) |
| Males | 53 (0.89) | 17 (1.08) | 10 (1.25) | 6 (1.17) | 4 (1.48) | 3 (1.03) |
| Severe mental illness | 23 (0.18) | 6 (0.21) | 6 (0.41) | 7 (0.82) | 4 (0.89) | 6 (1.35) |
| Females | 15 (0.23) | 3 (0.22) | 3 (0.45) | 4 (1.18) | 1 (0.57) | 3 (0.57) |
| Males | 8 (0.13) | 3 (0.19) | 3 (0.37) | 3 (0.58) | 3 (1.10) | 3 (1.97) |
| Substance abuse | 44 (0.35) | 13 (0.44) | 16 (1.09) | 5 (0.59) | 5 (1.12) | 7 (1.57) |
| Females | 20 (0.31) | 6 (0.45) | 5 (0.75) | 2 (0.59) | 0 (0.00) | 2 (1.32) |
| Males | 24 (0.40) | 7 (0.44) | 11 (1.37) | 3 (0.59) | 5 (1.84) | 5 (1.71) |
| Alcohol misuse | 130 (1.04) | 39 (1.33) | 30 (2.04) | 24 (2.82) | 8 (1.79) | 14 (3.13) |
| Females | 73 (1.13) | 17 (1.26) | 14 (2.11) | 12 (3.55) | 5 (2.84) | 3 (1.97) |
| Males | 57 (0.95) | 22 (1.39) | 16 (1.99) | 12 (2.34) | 3 (1.10) | 11 (3.72) |
| Non‐violent criminality | 419 (3.37) | 115 (3.93) | 80 (5.45) | 48 (5.64) | 34 (7.59) | 54 (12.50) |
| Females | 118 (1.83) | 34 (2.53) | 17 (2.56) | 15 (4.44) | 8 (4.55) | 10 (6.58) |
| Males | 301 (5.01) | 81 (5.12) | 63 (7.84) | 33 (6.43) | 26 (9.56) | 44 (14.86) |
| Violent criminality | 462 (3.71) | 122 (4.17) | 86 (5.86) | 55 (6.46) | 35 (7.81) | 58 (12.95) |
| Females | 125 (1.94) | 36 (2.67) | 20 (3.01) | 17 (5.03) | 8 (4.55) | 11 (7.24) |
| Males | 337 (5.61) | 86 (5.44) | 66 (8.21) | 38 (7.41) | 27 (9.93) | 47 (15.88) |
| No high school eligibility | 494 (3.97) | 164 (5.61) | 88 (5.99) | 71 (8.34) | 45 (10.04) | 57 (12.72) |
| Females | 242 (6.14) | 71 (8.96) | 32 (8.23) | 30 (16.48) | 16 (18.8) | 11 (16.92) |
| Males | 252 (6.85 | 93 (9.66) | 56 (11.43) | 41 (13.85) | 29 (19.08) | 46 (28.05) |
| Social welfare recipiency | 440 (3.0) | 123 (4.21) | 98 (6.68) | 62 (7.29) | 37 (8.26) | 50 (11.16) |
| Females | 265 (4.12) | 63 (4.69) | 45 (6.78) | 31 (9.17) | 10 (5.68) | 9 (5.92) |
| Males | 175 (2.91) | 60 (3.80) | 53 (6.59) | 31 (6.04) | 27 (9.93) | 41 (13.85) |
Adverse outcomes in adolescence regressed on continuous conduct problems in childhood, adjusted for parental socioeconomic status
| Adverse outcome | Females | Males |
|---|---|---|
| Depression | 1.23 (1.12–1.38) | 1.37 (1.23–1.53) |
| Anxiety | 1.33 (1.20–1.46) | 1.33 (1.22–1.48) |
| Antidepressant/sedative medication | 1.25 (1.18–1.32) | 1.34 (1.27–1.41) |
| Suicide attempt | 1.30 (1.12–1.51) | 1.16 (0.99–1.36) |
| Schizophrenia/ bipolar disorder | 1.54 (1.22–1.93) | 1.56 (1.22–1.93) |
| Substance abuse | 1.33 (1.05–1.70) | 1.34 (1.14–1.57) |
| Alcohol misuse | 1.32 (1.15–1.50) | 1.31 (1.17–1.47) |
| Nonviolent criminality | 1.35 (1.22–1.49) | 1.24 (1.18–1.31) |
| Violent criminality | 1.35 (1.23–1.48) | 1.22 (1.16–1.29) |
| No high school eligibility | 1.31 (1.21–1.42) | 1.33 (1.26–1.41) |
| Social welfare recipiency | 1.20 (1.13–1.32) | 1.38 (1.30–1.47) |
Estimates represent hazard ratios (with 95% confidence intervals in parentheses).
Estimates represent odds ratios based on logistic regression.
Standardized loadings on the adverse outcome factors in emerging adulthood by sex
| Adverse outcomes | Males | Females | ||||
|---|---|---|---|---|---|---|
| General factor | Specific int. factor | Specific ext. factor | General factor | Specific int. factor | Specific ext. factor | |
| Depression |
|
| 0.14 |
|
| −0.17 |
| Anxiety |
|
| −0.10 |
|
| −0.11 |
| Antidepressants/sedatives |
|
| −0.23 |
|
| −0.17 |
| Suicide attempt | 0.29 | 0.16 | 0.13 |
|
| 0.04 |
| Schizophrenia/ bipolar disorder |
|
| 0.08 |
|
| 0.13 |
| Drug abuse |
| 0.02 |
|
|
| 0.24 |
| Alcohol misuse |
| 0.07 |
|
| 0.20 | 0.26 |
| Nonviolent crimes |
| −0.18 |
|
| −0.12 |
|
| Violent crimes |
| −0.16 |
|
| −0.24 |
|
| High school ineligibility |
| −0.04 |
|
| 0.08 | 0.28 |
| Social welfare recipiency |
| 0.03 |
|
| 0.05 |
|
Int = internalizing. Ext = externalizing. Loadings greater than |0.29| are bolded.
Male model fit: RMSEA = 0.02, 90% CI: 0.02–0.03; CFI = 0.94; χ2 = 676.56, df = 448.
Female model fit: RMSEA = 0.03, 90% CI: 0.02–0.03; CFI = 0.96; χ2 = 704.92, df = 448.
Figure 2Latent general, internalizing, and externalizing factors regressed on latent conduct problems. The observed (phenotypic) probit betas are presented on top of the bar charts (with standard errors in parentheses). The bar charts display the contributions of genetic (A), the shared environment (C), and the nonshared environment (E) to the observed probit betas. * = significant at p < .05 (see Table S7 for biometric estimates and standard errors)
Figure 1Adverse outcomes regressed on latent conduct problems. The observed (phenotypic) probit betas are presented on top of the bar charts (with standard errors in parentheses). The bar charts display the contributions of genetic (A), the shared environment (C), and the nonshared environment (E) to the observed probit betas. Scz/bip = Schizophrenia and/or bipolar disorder. HS = high school ineligibility. * = significant at p < .05 (see Table S6 for biometric estimates and standard errors)