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Table 2 Associations between child and family characteristics and neglect subtypes (n = 2044)

From: Child neglect in one-child families from Suzhou City of Mainland China

Characteristica

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)

  1. aAdjusted for children’s school and other variables in the table using linear regression model (method for variable entry and removal:“enter”).
  2. *p < 0.05, **p < 0.01, ***p < 0.001.