Table 2.
Characteristic
a
|
Physical neglect |
Emotional neglect |
Educational neglect |
Supervisory neglect |
---|---|---|---|---|
Estimates (95% CI) | Estimates (95% CI) | Estimates (95% CI) | Estimates (95% CI) | |
Children’s age |
0.322(-0.101,0.745) |
-0.007(-0.217,0.204) |
-0.226(-0.636,0.184) |
0.206(-0.132,0.544) |
Gender |
|
|
|
|
Girls |
Ref |
Ref |
Ref |
Ref |
Boys |
-0.437(-0.704, -0.171)** |
0.312(-0.021,0.646) |
-0.142(-0.793,0.508) |
0.288(-0.248,0.824) |
Physical health issues |
|
|
|
|
No |
Ref |
|
|
|
Yes |
0.339(-0.135,0.813) |
0.713(0.339,1.086)*** |
1.152(0.423,1.882)** |
0.555(-0.046,1.157) |
Cognitive impairment |
|
|
|
|
No |
Ref |
Ref |
Ref |
Ref |
Yes |
0.628(1.125,0.130)* |
1.454(1.062, 1.847)*** |
1.393(0.628,2.159)*** |
0.865(0.234,1.496)** |
Mother’s age |
0.002(-0.075,0.079) |
0.01(-0.051,0.07) |
-0.014(-0.133,-0.001,)* |
-0.015(-0.113,0.083) |
Mother’s employment |
|
|
|
|
Empolyed |
Ref |
Ref |
Ref |
Ref |
Unemployed |
1.028(-0.169,2.225) |
0.411(-0.203,1.025) |
0.857(0.079,1.636)* |
0.97(-0.018,1.957) |
Mother’s health problems |
|
|
|
|
No |
Ref |
Ref |
Ref |
Ref |
Yes |
0.213(-0.232,0.658) |
-0.168(-0.519,0.183) |
0.559(-0.126,1.244) |
0.336(-0.229,0.901) |
Higher education of mother |
|
|
|
|
No |
Ref |
Ref |
Ref |
Ref |
Yes |
-0.642(-1.197,-0.087)* |
-0.589(-1.027,-0.151)** |
-2.456(-3.31,-1.601)*** |
-0.392(-1.096,0.313) |
Higher education of father |
|
|
|
|
No |
Ref |
Ref |
Ref |
Ref |
Yes |
-0.509(-1.055,0.037) |
-0.531(-0.962,-0.100)* |
-0.688(-1.528,0.152) |
-0.272(-0.965,0.420) |
Family structure |
|
|
|
|
Nuclear family |
Ref |
Ref |
Ref |
Ref |
Single family |
-0.046(-4.932,0.002) |
-0.387(-3.337,0.436) |
-0.029(-6.203,1.159) |
-0.031(-0.110,0.087) |
Family with three generations |
-0.055(-1.093,-0.135)* |
-0.040(-0.732,0.023) |
-0.022(-0.350,1.123) |
0.038(-5.176,0.893) |
Family per-capita income of every month | 0.001(-0001,0.002) | 0.011(-0.005,0.021) | 0.012(-0.003,0.025) | 0.009(-0.002,0.010) |
aAdjusted for children’s school and other variables in the table using linear regression model (method for variable entry and removal:“enter”).
*p < 0.05, **p < 0.01, ***p < 0.001.