| Literature DB >> 24661722 |
Jing Hua1, Zhe Mu, Bright I Nwaru, Guixiong Gu, Wei Meng, Zhuochun Wu.
Abstract
BACKGROUND: The one-child policy introduced in China in 1979 has led to far-reaching changes in socio-demographic characteristics. Under this policy regime, each household has few children. This study aims to describe the prevalence of child neglect in one-child families in China and to examine the correlates of child neglect.Entities:
Mesh:
Year: 2014 PMID: 24661722 PMCID: PMC3987843 DOI: 10.1186/1472-698X-14-8
Source DB: PubMed Journal: BMC Int Health Hum Rights ISSN: 1472-698X
The scores of subscales for neglect subtypes according to child and family characteristics (n = 2044)
| Schoola | | | | | |
| 1 | 263 | 24.008(5.115) | 23.388(3.76)** | 31.183(7.529)*** | 31.065(5.973) |
| 2 | 194 | 24.18(5.378) | 23.392(3.88) | 32.263(7.86) | 31.773(6.347) |
| 3 | 547 | 23.602(4.837) | 23.395(3.757) | 31.554(7.118) | 31.066(6.217) |
| 4 | 1040 | 22.829(4.765) | 22.785(4.002)† | 29.469(7.741)†† | 30.707(6.114) |
| Children’s agea | | | | | |
| 6 | 417 | 22.736(4.659)* | 23.103(3.878) | 30.755(7.799) | 30.633(5.862) |
| 7 | 789 | 23.238(4.869) | 22.976(3.833) | 30.624(7.608) | 30.932(6.131) |
| 8 | 736 | 23.597(5.045) | 23.14(4.008) | 30.107(7.479) | 31.035(6.257) |
| 9 | 102 | 24.255(5.12) | 23.422(3.834) | 31.588(8.229) | 31.775(6.636) |
| Genderb | | | | | |
| Girls | 977 | 23.413(4.925)** | 23.317(3.953)* | 30.443(7.848) | 30.728(6.051) |
| Boys | 1067 | 22.227(4.908) | 22.828(3.837) | 30.576(7.44) | 31.154(6.234) |
| Physical health issuesb | | | | | |
| No | 1374 | 23.274(4.862) | 22.929(3.787)* | 30.432(7.575) | 30.818(6.033)c |
| Yes | 670 | 23.400(5.025) | 23.399(4.120) | 30.678(7.765) | 31.221(6.379) |
| Cognitive impairmentb | | | | | |
| No | 1557 | 23.141(4.953)** | 22.704(3.812)*** | 30.083(7.643)*** | 30.719(6.103)** |
| Yes | 487 | 23.873(4.757) | 24.296(3.953) | 31.887(7.459) | 31.688(6.246) |
| Mother’s employmentb | | | | | |
| Empolyed | 1869 | 23.181(4.836)*** | 23.014(3.889)** | 30.311(7.575)*** | 30.844(6.134)** |
| Unemployed | 175 | 24.754(5.512) | 23.817(4.010) | 32.663(7.978) | 32.08(6.22) |
| Mother’s health problemsb | | | | | |
| No | 1107 | 22.956(4.861)** | 23.026(3.863) | 29.778(7.354)*** | 30.668(6.041) |
| Yes | 937 | 23.62(4.943) | 23.132(3.941) | 31.135(7.817) | 31.189(6.233) |
| Higher education of motherb | | | | | |
| No | 1129 | 23.905(4.972)*** | 23.524(3.828)*** | 31.975(7.649)*** | 31.281(6.278)** |
| Yes | 915 | 22.588(4.747) | 22.539(3.932) | 28.708(7.228) | 30.542(5.966) |
| Higher education of fatherb | | | | | |
| No | 973 | 23.94(5.012)*** | 23.562(3.983)*** | 31.786(7.735)*** | 31.292(6.213)* |
| Yes | 1071 | 22.748(4.757) | 22.648(3.782) | 29.356(7.361) | 30.64(6.078) |
| Family structurea | | | | | |
| Nuclear family | 1483 | 23.469(4.947)*** | 23.161(3.868) | 30.353(7.640) | 30.811(6.142) |
| Single family | 16 | 21.063(5.053) | 22.250(3.550) | 28.563(7.090) | 28.938(5.053) |
| Family with three generation | 545 | 22.963(4.800)† | 22.895(4.010) | 31.006(7.628) | 31.389(6.180) |
aOne-way ANOVA.
bIndependent-samples t test.
*p < 0.05, **p < 0.01, ***p < 0.001.
†p < 0.05 , ††p < 0.01 (post-hoc test and compare the factor with the first one).
Associations between child and family characteristics and neglect subtypes (n = 2044)
| 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.