Acta Psychologica Sinica ›› 2023, Vol. 55 ›› Issue (10): 1620-1636.doi: 10.3724/SP.J.1041.2023.01620
• Reports of Empirical Studies • Previous Articles Next Articles
CAO Yanmiao, FANG Huici, ZHU Xinyue, JI Linqin, ZHANG Wenxin
Published:
2023-10-25
Online:
2023-08-02
CAO Yanmiao, FANG Huici, ZHU Xinyue, JI Linqin, ZHANG Wenxin. (2023). Associations among brain-derived neurotrophic factor gene, peer relationships, and depression across early adolescence: Dynamic genetic effects. Acta Psychologica Sinica, 55(10), 1620-1636.
Variables | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
1. T1 Depression | 0.19 | 0.22 | 1 | ||||||||
2. T2 Depression | 0.22 | 0.24 | 0.61*** | 1 | |||||||
3. T3 Depression | 0.27 | 0.25 | 0.53*** | 0.68*** | 1 | ||||||
4. T1 Rejection | −0.17 | 0.70 | 0.12*** | 0.09** | 0.08* | 1 | |||||
5. T2 Rejection | −0.13 | 0.76 | 0.15*** | 0.18*** | 0.11*** | 0.59*** | 1 | ||||
6. T3 Rejection | −0.11 | 0.80 | 0.12*** | 0.16*** | 0.11*** | 0.57*** | 0.71*** | 1 | |||
7. T1 Acceptance | 0.07 | 0.99 | −0.12*** | −0.10*** | −0.09** | −0.24*** | −0.24*** | −0.23*** | 1 | ||
8. T2 Acceptance | 0.11 | 1.02 | −0.09*** | −0.12*** | −0.11*** | −0.24*** | −0.34*** | −0.27*** | 0.46*** | 1 | |
9. T3 Acceptance | 0.11 | 0.98 | −0.11*** | −0.13*** | −0.14*** | −0.22*** | −0.27*** | −0.32*** | 0.38*** | 0.52*** | 1 |
Table 1 Descriptive statistics and correlations among study variables
Variables | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
1. T1 Depression | 0.19 | 0.22 | 1 | ||||||||
2. T2 Depression | 0.22 | 0.24 | 0.61*** | 1 | |||||||
3. T3 Depression | 0.27 | 0.25 | 0.53*** | 0.68*** | 1 | ||||||
4. T1 Rejection | −0.17 | 0.70 | 0.12*** | 0.09** | 0.08* | 1 | |||||
5. T2 Rejection | −0.13 | 0.76 | 0.15*** | 0.18*** | 0.11*** | 0.59*** | 1 | ||||
6. T3 Rejection | −0.11 | 0.80 | 0.12*** | 0.16*** | 0.11*** | 0.57*** | 0.71*** | 1 | |||
7. T1 Acceptance | 0.07 | 0.99 | −0.12*** | −0.10*** | −0.09** | −0.24*** | −0.24*** | −0.23*** | 1 | ||
8. T2 Acceptance | 0.11 | 1.02 | −0.09*** | −0.12*** | −0.11*** | −0.24*** | −0.34*** | −0.27*** | 0.46*** | 1 | |
9. T3 Acceptance | 0.11 | 0.98 | −0.11*** | −0.13*** | −0.14*** | −0.22*** | −0.27*** | −0.32*** | 0.38*** | 0.52*** | 1 |
Variables | T1 Depression | T2 Depression | T3 Depression | ||||||
---|---|---|---|---|---|---|---|---|---|
b | SE | β | b | SE | β | b | SE | β | |
Covariate | |||||||||
Gender | 0.02 | 0.01 | 0.05+ | 0.01 | 0.01 | 0.03 | 0.02 | 0.02 | 0.05 |
ΔR2 | 0.003+ | 0.001 | 0.002 | ||||||
Main Effects | |||||||||
BDNF 1 (MetMet vs. ValMet) | −0.01 | 0.02 | −0.03 | 0.01 | 0.02 | 0.02 | 0.03 | 0.02 | 0.05 |
BDNF 2 (ValVal vs. ValMet) | 0.004 | 0.02 | 0.01 | 0.02 | 0.02 | 0.03 | 0.03 | 0.02 | 0.06+ |
Peer rejection | 0.03 | 0.01 | 0.12*** | 0.04 | 0.01 | 0.18*** | 0.03 | 0.01 | 0.10*** |
ΔR2 | 0.01** | 0.03*** | 0.01** | ||||||
Interaction effects | |||||||||
BDNF 1 × Peer rejection | 0.05 | 0.02 | 0.10** | 0.07 | 0.02 | 0.13*** | 0.03 | 0.02 | 0.06+ |
BDNF 2 × Peer rejection | 0.02 | 0.02 | 0.05 | 0.04 | 0.02 | 0.09** | 0.06 | 0.02 | 0.12*** |
ΔR2 | 0.01* | 0.01*** | 0.01** |
Table 2 Interaction of BDNF gene and peer rejection on concurrent depression (T1~T3)
Variables | T1 Depression | T2 Depression | T3 Depression | ||||||
---|---|---|---|---|---|---|---|---|---|
b | SE | β | b | SE | β | b | SE | β | |
Covariate | |||||||||
Gender | 0.02 | 0.01 | 0.05+ | 0.01 | 0.01 | 0.03 | 0.02 | 0.02 | 0.05 |
ΔR2 | 0.003+ | 0.001 | 0.002 | ||||||
Main Effects | |||||||||
BDNF 1 (MetMet vs. ValMet) | −0.01 | 0.02 | −0.03 | 0.01 | 0.02 | 0.02 | 0.03 | 0.02 | 0.05 |
BDNF 2 (ValVal vs. ValMet) | 0.004 | 0.02 | 0.01 | 0.02 | 0.02 | 0.03 | 0.03 | 0.02 | 0.06+ |
Peer rejection | 0.03 | 0.01 | 0.12*** | 0.04 | 0.01 | 0.18*** | 0.03 | 0.01 | 0.10*** |
ΔR2 | 0.01** | 0.03*** | 0.01** | ||||||
Interaction effects | |||||||||
BDNF 1 × Peer rejection | 0.05 | 0.02 | 0.10** | 0.07 | 0.02 | 0.13*** | 0.03 | 0.02 | 0.06+ |
BDNF 2 × Peer rejection | 0.02 | 0.02 | 0.05 | 0.04 | 0.02 | 0.09** | 0.06 | 0.02 | 0.12*** |
ΔR2 | 0.01* | 0.01*** | 0.01** |
Variables | T1 Depression | T2 Depression | T3 Depression | ||||||
---|---|---|---|---|---|---|---|---|---|
b | SE | β | b | SE | β | b | SE | β | |
Covariate | |||||||||
Gender | 0.02 | 0.01 | 0.05+ | 0.01 | 0.01 | 0.03 | 0.02 | 0.02 | 0.05 |
ΔR2 | 0.003 | 0.001 | 0.002 | ||||||
Main Effects | |||||||||
BDNF 1 (MetMet vs. ValMet) | −0.01 | 0.02 | −0.02 | 0.01 | 0.02 | 0.01 | 0.02 | 0.02 | 0.04 |
BDNF 2 (ValVal vs. ValMet) | 0.01 | 0.02 | 0.01 | 0.02 | 0.02 | 0.03 | 0.03 | 0.02 | 0.06+ |
Peer acceptance | −0.03 | 0.01 | −0.12*** | −0.03 | 0.01 | −0.12*** | −0.03 | 0.01 | −0.14*** |
ΔR2 | 0.02 | 0.02 | 0.02 | ||||||
Interaction effects | |||||||||
BDNF 1 × Peer acceptance | −0.01 | 0.02 | −0.03 | −0.02 | 0.02 | −0.05 | −0.02 | 0.02 | −0.04 |
BDNF 2 × Peer acceptance | −0.01 | 0.02 | −0.02 | 0.001 | 0.02 | 0.003 | −0.02 | 0.02 | −0.05 |
ΔR2 | 0.001 | 0.002 | 0.002 |
Table 3 Interaction of BDNF gene and peer acceptance on concurrent depression (T1~T3)
Variables | T1 Depression | T2 Depression | T3 Depression | ||||||
---|---|---|---|---|---|---|---|---|---|
b | SE | β | b | SE | β | b | SE | β | |
Covariate | |||||||||
Gender | 0.02 | 0.01 | 0.05+ | 0.01 | 0.01 | 0.03 | 0.02 | 0.02 | 0.05 |
ΔR2 | 0.003 | 0.001 | 0.002 | ||||||
Main Effects | |||||||||
BDNF 1 (MetMet vs. ValMet) | −0.01 | 0.02 | −0.02 | 0.01 | 0.02 | 0.01 | 0.02 | 0.02 | 0.04 |
BDNF 2 (ValVal vs. ValMet) | 0.01 | 0.02 | 0.01 | 0.02 | 0.02 | 0.03 | 0.03 | 0.02 | 0.06+ |
Peer acceptance | −0.03 | 0.01 | −0.12*** | −0.03 | 0.01 | −0.12*** | −0.03 | 0.01 | −0.14*** |
ΔR2 | 0.02 | 0.02 | 0.02 | ||||||
Interaction effects | |||||||||
BDNF 1 × Peer acceptance | −0.01 | 0.02 | −0.03 | −0.02 | 0.02 | −0.05 | −0.02 | 0.02 | −0.04 |
BDNF 2 × Peer acceptance | −0.01 | 0.02 | −0.02 | 0.001 | 0.02 | 0.003 | −0.02 | 0.02 | −0.05 |
ΔR2 | 0.001 | 0.002 | 0.002 |
Parameter | Differential Susceptibility | Diathesis-Stress | Vantage Sensitivity | |||
---|---|---|---|---|---|---|
Strong: Model a | Weak: Model b | Strong: Model c | Weak: Model d | Strong: Model e | Weak: Model f | |
C | 0.01(0.19) | 0.08(0.25) | 6.74(—)a | 6.74(—)a | −0.74(—)a | −0.74(—)a |
95% CI of C | [−0.38, 0.39] | [−0.41, 0.56] | —a | —a | —a | —a |
B1 | 0.00(—)a | 0.02(0.01) | 0.00(—)a | 0.04(0.01)*** | 0.00(—)a | 0.02(0.01) |
B2 | 0.08(0.02)*** | 0.09(0.02)*** | 0.003(0.01) | 0.04(0.02)*** | 0.04(0.02)*** | 0.05(0.02)*** |
B3 | 0.04(0.02) * | 0.04(0.02)* | 0.001(0.02) | 0.04(0.01)*** | 0.04(0.02)*** | 0.05(0.02)*** |
B4 | 0.02(0.01) | 0.02(0.01) | 0.02(0.01) | 0.02(0.01) | 0.02(0.01) | 0.02(0.01) |
R2 | 0.022 | 0.024 | 0.004 | 0.017 | 0.014 | 0.019 |
F(df) | 6.14(4, 1069)*** | 5.23(5, 1068)*** | 1.56(3, 1070) | 4.69(4, 1069)*** | 5.22(3, 1070)** | 5.05(4, 1069)*** |
F vs. 1 (df) | — | 1.55(1, 1068) | 19.79(1, 1069)*** | — | 8.78(1, 1069)** | — |
F vs. 2 (df) | 1.55(1, 1068) | — | 10.68(2, 1068)*** | 7.25(1, 1068)** | 5.17(2, 1068)** | 5.82(1, 1068)* |
AIC | −253.53 | −253.09 | −235.83 | −247.82 | −246.74 | −249.25 |
BIC | −223.65 | −218.23 | −210.93 | −217.95 | −221.85 | −219.38 |
Table 4 Re-parameterized regression analyses for peer rejection (T1)
Parameter | Differential Susceptibility | Diathesis-Stress | Vantage Sensitivity | |||
---|---|---|---|---|---|---|
Strong: Model a | Weak: Model b | Strong: Model c | Weak: Model d | Strong: Model e | Weak: Model f | |
C | 0.01(0.19) | 0.08(0.25) | 6.74(—)a | 6.74(—)a | −0.74(—)a | −0.74(—)a |
95% CI of C | [−0.38, 0.39] | [−0.41, 0.56] | —a | —a | —a | —a |
B1 | 0.00(—)a | 0.02(0.01) | 0.00(—)a | 0.04(0.01)*** | 0.00(—)a | 0.02(0.01) |
B2 | 0.08(0.02)*** | 0.09(0.02)*** | 0.003(0.01) | 0.04(0.02)*** | 0.04(0.02)*** | 0.05(0.02)*** |
B3 | 0.04(0.02) * | 0.04(0.02)* | 0.001(0.02) | 0.04(0.01)*** | 0.04(0.02)*** | 0.05(0.02)*** |
B4 | 0.02(0.01) | 0.02(0.01) | 0.02(0.01) | 0.02(0.01) | 0.02(0.01) | 0.02(0.01) |
R2 | 0.022 | 0.024 | 0.004 | 0.017 | 0.014 | 0.019 |
F(df) | 6.14(4, 1069)*** | 5.23(5, 1068)*** | 1.56(3, 1070) | 4.69(4, 1069)*** | 5.22(3, 1070)** | 5.05(4, 1069)*** |
F vs. 1 (df) | — | 1.55(1, 1068) | 19.79(1, 1069)*** | — | 8.78(1, 1069)** | — |
F vs. 2 (df) | 1.55(1, 1068) | — | 10.68(2, 1068)*** | 7.25(1, 1068)** | 5.17(2, 1068)** | 5.82(1, 1068)* |
AIC | −253.53 | −253.09 | −235.83 | −247.82 | −246.74 | −249.25 |
BIC | −223.65 | −218.23 | −210.93 | −217.95 | −221.85 | −219.38 |
Parameter | Differential Susceptibility | Diathesis-Stress | Vantage Sensitivity | |||
---|---|---|---|---|---|---|
Strong: Model a | Weak: Model b | Strong: Model c | 弱: Model d | Strong: Model a | Weak: Model b | |
C | −0.27(0.14) | −0.31(0.19) | 6.01(—)a | 6.01(—)a | −1.01(—)a | −1.01(—)a |
95% CI of C | [−0.54, 0.01] | [−0.68, 0.06] | —a | —a | —a | —a |
B1 | 0.00(—)a | 0.03(0.01)* | 0.00(—)a | 0.06(0.01)*** | 0.00(—)a | 0.04(0.01)*** |
B2 | 0.12(0.02)*** | 0.12(0.02)*** | 0.001(0.02) | 0.06(0.01)*** | 0.07(0.02) *** | 0.09(0.02)*** |
B3 | 0.08(0.02)*** | 0.08(0.02)*** | 0.000(0.01) | 0.06(0.02)*** | 0.06(0.02) *** | 0.08(0.02)*** |
B4 | 0.00(0.01) | 0.00(0.01) | 0.01(0.02) | 0.00(0.01) | 0.01(0.01) | 0.00(0.01) |
R2 | 0.045 | 0.049 | 0.001 | 0.034 | 0.031 | 0.044 |
F(df) | 12.76(4, 1073)*** | 11.07(5, 1072)*** | 0.29(3, 1074) | 9.52(4, 1073)*** | 11.56(3, 1074)** | 12.26(4, 1073)*** |
F vs. 1 (df) | — | 4.17(1, 1072)* | 50.13(1, 1073)*** | — | 15.86(1, 1073)** | — |
F vs. 2 (df) | 4.17(1, 1072)* | — | 27.22(2, 1072)*** | 16.72(1, 1072)** | 10.04(2, 1072)** | 6.09(1, 1072)* |
AIC | −94.49 | −96.68 | −47.27 | −81.99 | −80.68 | −92.58 |
BIC | −64.60 | −61.80 | −22.36 | −52.10 | −55.77 | −62.68 |
Table 5 Re-parameterized regression analyses for peer rejection (T2)
Parameter | Differential Susceptibility | Diathesis-Stress | Vantage Sensitivity | |||
---|---|---|---|---|---|---|
Strong: Model a | Weak: Model b | Strong: Model c | 弱: Model d | Strong: Model a | Weak: Model b | |
C | −0.27(0.14) | −0.31(0.19) | 6.01(—)a | 6.01(—)a | −1.01(—)a | −1.01(—)a |
95% CI of C | [−0.54, 0.01] | [−0.68, 0.06] | —a | —a | —a | —a |
B1 | 0.00(—)a | 0.03(0.01)* | 0.00(—)a | 0.06(0.01)*** | 0.00(—)a | 0.04(0.01)*** |
B2 | 0.12(0.02)*** | 0.12(0.02)*** | 0.001(0.02) | 0.06(0.01)*** | 0.07(0.02) *** | 0.09(0.02)*** |
B3 | 0.08(0.02)*** | 0.08(0.02)*** | 0.000(0.01) | 0.06(0.02)*** | 0.06(0.02) *** | 0.08(0.02)*** |
B4 | 0.00(0.01) | 0.00(0.01) | 0.01(0.02) | 0.00(0.01) | 0.01(0.01) | 0.00(0.01) |
R2 | 0.045 | 0.049 | 0.001 | 0.034 | 0.031 | 0.044 |
F(df) | 12.76(4, 1073)*** | 11.07(5, 1072)*** | 0.29(3, 1074) | 9.52(4, 1073)*** | 11.56(3, 1074)** | 12.26(4, 1073)*** |
F vs. 1 (df) | — | 4.17(1, 1072)* | 50.13(1, 1073)*** | — | 15.86(1, 1073)** | — |
F vs. 2 (df) | 4.17(1, 1072)* | — | 27.22(2, 1072)*** | 16.72(1, 1072)** | 10.04(2, 1072)** | 6.09(1, 1072)* |
AIC | −94.49 | −96.68 | −47.27 | −81.99 | −80.68 | −92.58 |
BIC | −64.60 | −61.80 | −22.36 | −52.10 | −55.77 | −62.68 |
Parameter | Differential Susceptibility | Diathesis-Stress | Vantage Sensitivity | |||
---|---|---|---|---|---|---|
Strong: Model a | Weak: Model b | Strong: Model c | 弱: Model d | Strong: Model a | Weak: Model b | |
C | −0.54(0.24) | −0.57(0.28) | 6.04(—)a | 6.04(—)a | −0.80(—)a | −0.80(—)a |
95% CI of C | [−1.04, −0.05] | [−1.11, −0.03] | —a | —a | —a | —a |
B1 | 0.00(—)a | 0.005(0.01) | 0.00(—)a | 0.03(0.01)*** | 0.00(—)a | 0.01(0.01) |
B2 | 0.05(0.02)** | 0.05(0.02)** | −0.002(0.003) | 0.03(0.01)*** | 0.05(0.02)** | 0.05(0.02)** |
B3 | 0.08(0.02)*** | 0.08(0.02)*** | −0.003(0.003) | 0.03(0.01)** | 0.07(0.02)*** | 0.07(0.02)*** |
B4 | 0.01(0.01) | 0.01(0.02) | 0.02(0.02) | 0.01(0.02) | 0.01(0.02) | 0.01(0.02) |
R2 | 0.026 | 0.026 | 0.003 | 0.015 | 0.025 | 0.026 |
F(df) | 7.02(4, 1047)*** | 5.64(5, 1046)*** | 1.19(3, 1048) | 3.98(4, 1047)** | 9.08(3, 1048)** | 6.93(4, 1047)*** |
F vs. 1 (df) | — | 0.13(1, 1046) | 24.44(1, 1047)*** | — | 0.86(1, 1047) | — |
F vs. 2 (df) | 0.13(1, 1046) | — | 12.27(2, 1046)*** | 12.10(1, 1046)** | 0.49(2, 1046) | 0.49(1, 1046) |
AIC | 38.42 | 40.29 | 60.69 | 50.39 | 37.28 | 38.78 |
BIC | 68.17 | 75.00 | 85.49 | 80.14 | 62.06 | 68.53 |
Table 6 Re-parameterized regression analyses for peer rejection (T3)
Parameter | Differential Susceptibility | Diathesis-Stress | Vantage Sensitivity | |||
---|---|---|---|---|---|---|
Strong: Model a | Weak: Model b | Strong: Model c | 弱: Model d | Strong: Model a | Weak: Model b | |
C | −0.54(0.24) | −0.57(0.28) | 6.04(—)a | 6.04(—)a | −0.80(—)a | −0.80(—)a |
95% CI of C | [−1.04, −0.05] | [−1.11, −0.03] | —a | —a | —a | —a |
B1 | 0.00(—)a | 0.005(0.01) | 0.00(—)a | 0.03(0.01)*** | 0.00(—)a | 0.01(0.01) |
B2 | 0.05(0.02)** | 0.05(0.02)** | −0.002(0.003) | 0.03(0.01)*** | 0.05(0.02)** | 0.05(0.02)** |
B3 | 0.08(0.02)*** | 0.08(0.02)*** | −0.003(0.003) | 0.03(0.01)** | 0.07(0.02)*** | 0.07(0.02)*** |
B4 | 0.01(0.01) | 0.01(0.02) | 0.02(0.02) | 0.01(0.02) | 0.01(0.02) | 0.01(0.02) |
R2 | 0.026 | 0.026 | 0.003 | 0.015 | 0.025 | 0.026 |
F(df) | 7.02(4, 1047)*** | 5.64(5, 1046)*** | 1.19(3, 1048) | 3.98(4, 1047)** | 9.08(3, 1048)** | 6.93(4, 1047)*** |
F vs. 1 (df) | — | 0.13(1, 1046) | 24.44(1, 1047)*** | — | 0.86(1, 1047) | — |
F vs. 2 (df) | 0.13(1, 1046) | — | 12.27(2, 1046)*** | 12.10(1, 1046)** | 0.49(2, 1046) | 0.49(1, 1046) |
AIC | 38.42 | 40.29 | 60.69 | 50.39 | 37.28 | 38.78 |
BIC | 68.17 | 75.00 | 85.49 | 80.14 | 62.06 | 68.53 |
Predictor | Intercept | Slope | χ2(df) | CFI | TLI | RMSEA | SRMR |
---|---|---|---|---|---|---|---|
Model 1: unconditional | 1.01 (0.05)*** | 0.50 (0.07)*** | 1.60 (1) | 0.99 | 0.99 | 0.02 [0.00, 0.09] | 0.01 |
Model 2: Gender | 0.06 (0.04) | −0.02 (0.04) | 2.25 (2) | 1.00 | 0.99 | 0.01 [0.00, 0.06] | 0.01 |
Model 3: BDNF 1 (MetMet vs. ValMet) | −0.03 (0.04) | 0.11 (0.05)* | 2.30 (4) | 1.00 | 1.00 | 0.00 [0.00, 0.04] | 0.01 |
BDNF 2 (ValVal vs. ValMet) | 0.01 (0.04) | 0.09 (0.05)* | |||||
Model 4a: T1 Peer Rejection | 0.14 (0.05)** | −0.04 (0.04) | 2.32 (5) | 1.00 | 1.00 | 0.00 [0.00, 0.03] | 0.01 |
Model 5a: BDNF 1×T1 Peer Rejection | 0.11 (0.06)* | −0.06 (0.04) | 3.49 (7) | 1.00 | 1.00 | 0.00 [0.00, 0.02] | 0.004 |
BDNF 2×T1 Peer Rejection | 0.06 (0.06) | 0.02 (0.04) | |||||
Model 4b: T1 Peer Acceptance | −0.14 (0.04)*** | 0.02 (0.04) | 2.32 (5) | 1.00 | 1.00 | 0.00 [0.00, 0.03] | 0.01 |
Model 5b: BDNF 1×T1 Peer Acceptance | −0.04 (0.04) | −0.06 (0.05) | 3.22 (7) | 1.00 | 1.00 | 0.00 [0.00, 0.02] | 0.004 |
BDNF 2×T1 Peer Acceptance | −0.02 (0.05) | 0.04 (0.05) | |||||
Model 4c: T1 Peer Status | −0.18 (0.04)*** | 0.04 (0.04) | 2.34(5) | 1.00 | 1.00 | 0.00 [0.00, 0.03] | 0.01 |
Model 5c: BDNF 1×T1 Peer Status | −0.10 (0.05)* | −0.001 (0.05) | 2.46(7) | 1.00 | 1.00 | 0.00 [0.00, 0.01] | 0.004 |
BDNF 2×T1 Peer Status | −0.05 (0.06) | 0.02 (0.05) |
Table 7 Summary of standardized coefficients of BDNF × peer relationship interactions predicting adolescent depressive symptom development, controlling for gender
Predictor | Intercept | Slope | χ2(df) | CFI | TLI | RMSEA | SRMR |
---|---|---|---|---|---|---|---|
Model 1: unconditional | 1.01 (0.05)*** | 0.50 (0.07)*** | 1.60 (1) | 0.99 | 0.99 | 0.02 [0.00, 0.09] | 0.01 |
Model 2: Gender | 0.06 (0.04) | −0.02 (0.04) | 2.25 (2) | 1.00 | 0.99 | 0.01 [0.00, 0.06] | 0.01 |
Model 3: BDNF 1 (MetMet vs. ValMet) | −0.03 (0.04) | 0.11 (0.05)* | 2.30 (4) | 1.00 | 1.00 | 0.00 [0.00, 0.04] | 0.01 |
BDNF 2 (ValVal vs. ValMet) | 0.01 (0.04) | 0.09 (0.05)* | |||||
Model 4a: T1 Peer Rejection | 0.14 (0.05)** | −0.04 (0.04) | 2.32 (5) | 1.00 | 1.00 | 0.00 [0.00, 0.03] | 0.01 |
Model 5a: BDNF 1×T1 Peer Rejection | 0.11 (0.06)* | −0.06 (0.04) | 3.49 (7) | 1.00 | 1.00 | 0.00 [0.00, 0.02] | 0.004 |
BDNF 2×T1 Peer Rejection | 0.06 (0.06) | 0.02 (0.04) | |||||
Model 4b: T1 Peer Acceptance | −0.14 (0.04)*** | 0.02 (0.04) | 2.32 (5) | 1.00 | 1.00 | 0.00 [0.00, 0.03] | 0.01 |
Model 5b: BDNF 1×T1 Peer Acceptance | −0.04 (0.04) | −0.06 (0.05) | 3.22 (7) | 1.00 | 1.00 | 0.00 [0.00, 0.02] | 0.004 |
BDNF 2×T1 Peer Acceptance | −0.02 (0.05) | 0.04 (0.05) | |||||
Model 4c: T1 Peer Status | −0.18 (0.04)*** | 0.04 (0.04) | 2.34(5) | 1.00 | 1.00 | 0.00 [0.00, 0.03] | 0.01 |
Model 5c: BDNF 1×T1 Peer Status | −0.10 (0.05)* | −0.001 (0.05) | 2.46(7) | 1.00 | 1.00 | 0.00 [0.00, 0.01] | 0.004 |
BDNF 2×T1 Peer Status | −0.05 (0.06) | 0.02 (0.05) |
Figure 3. A path diagram and select fitted parameters representing a conditional latent growth model testing whether adolescents’ depression trajectories between 12 and 14 years old are predicted by gene-environment interactions between BDNF genotype and peer rejection (Model 5a).
Figure 4. A path diagram and select fitted parameters representing a conditional latent growth model testing whether adolescents’ depression trajectories between 12 and 14 years old are predicted by gene-environment interactions between BDNF genotype and peer acceptance (Model 5b).
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