Analysis of the quality of life and its related factors among children aged 4-5 years old in rural areas of Anhui Province
10.16835/j.cnki.1000-9817.2019.10.016
- VernacularTitle:安徽省农村地区4~5岁儿童生活质量及家庭影响因素分析
- Author:
DU Jie, QIN Jinyan, WU Qiuyun, JI Guoping
1
Author Information
1. Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei(230032), China
- Publication Type:Journal Article
- Keywords:
Quality of life;
Family characteristics;
Regression analysis;
Child;
Rural population
- From:
Chinese Journal of School Health
2019;40(10):1495-1498
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the status and related factors of quality of life (QOL) among children aged 4-5 years old in rural areas of Anhui Province, and to provide a reference for improving the quality of life among children in rural areas.
Methods:A total of 4 457 preschool children aged 4-5 years old were selected from rural areas in five counties of Anhui Province by cluster sampling method. Parents of children were surveyed using the Pediatric Quality of Life Inventory Measurement Models 4.0.
Results:The total QOL score of children aged 4-5 years old in rural areas of Anhui Province was (79.44±12.51). The scores of emotional function, school performance and psychosocial summary were higher in left-behind children than that in non-left-behind children(t=2.99, 3.51, 3.22, P<0.05). Multivariate Logistic regression analysis showed that the older children (OR=0.82, 95%CI=0.71-0.95) and the bigger size of households (OR=0.85, 95%CI=0.73-0.98) were positively associated with quality of life of children, while the higher father’s educational level(OR=1.40, 95%CI=1.21-1.62), the lower father’s income, mothers doing housework or unemployment and children suffering from illness in the past two weeks (OR=1.76, 95%CI=1.50-2.06) were negatively associated with quality of life of children(P<0.05).
Conclusion:The quality of life of children aged 4-5 year old in rural areas of Anhui Province is relatively low. The children’s age, the father’s education level, the father’s annual income, the mother’s occupation, the size of households, and children suffering from illness in the past two weeks were the related factors that affectchildren’s quality of life.
