Maternal Education and Micro-Geographic Disparities in Nutritional Status among School-Aged Children in Rural Northwestern China

被引:6
|
作者
Wang, Cuili [1 ,2 ]
Kane, Robert L. [3 ]
Xu, Dongjuan [1 ,3 ]
Li, Lingui [4 ]
Guan, Weihua [3 ]
Li, Hui [2 ]
Meng, Qingyue [2 ,5 ]
机构
[1] Shandong Univ, Sch Nursing, Jinan 250100, Shandong, Peoples R China
[2] Shandong Univ, Ctr Hlth Management & Policy, Jinan 250100, Shandong, Peoples R China
[3] Univ Minnesota, Sch Publ Hlth, Minneapolis, MN USA
[4] Ningxia Med Univ, Coll Management, Ningxia, Peoples R China
[5] Peking Univ, China Ctr Hlth Dev Studies, Beijing 100871, Peoples R China
来源
PLOS ONE | 2013年 / 8卷 / 12期
关键词
RISK-FACTORS; HEALTH; UNDERNUTRITION; DETERMINANTS; MALNUTRITION; HOUSEHOLD; BANGLADESH; INDONESIA; MORTALITY;
D O I
10.1371/journal.pone.0082500
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objectives: Prior evidence suggests geographic disparities in the effect of maternal education on child nutritional status between countries, between regions and between urban and rural areas. We postulated its effect would also vary by micro-geographic locations (indicated by mountain areas, plain areas and the edge areas) in a Chinese minority area. Methods: A cross-sectional study was conducted with a multistage random sample of 1474 school children aged 5-12 years in Guyuan, China. Child nutritional status was measured by height-for-age z scores (HAZ). Linear mixed models were used to examine its association with place of residence and maternal education. Results: Micro-geographic disparities in child nutritional status and the level of socioeconomic composition were found. Children living in mountain areas had poorer nutritional status, even after adjusting for demographic (plain versus kmountain, beta = 0.16, P = 0.033; edge versus mountain, beta = 0.29, P = 0.002) and socioeconomic factors (plain versus mountain, beta = 0.12, P = 0.137; edge versus mountain, beta = 0.25, P = 0.009). The disparities significantly widened with increasing years of mothers' schooling (maternal education*plain versus mountain: beta = 0.06, P = 0.007; maternal education* edge versus mountain: beta = 0.07, P = 0.005). Moreover, the association between maternal education and child nutrition was negative (beta = 0.03, P = 0.056) in mountain areas but positive in plain areas (beta = 0.02, P = 0.094) or in the edge areas (beta = 0.04, P = 0.055). Conclusions: Micro-geographic disparities in child nutritional status increase with increasing level of maternal education and the effect of maternal education varies by micro-geographic locations, which exacerbates child health inequity. Educating rural girls alone is not sufficient; improving unfavorable conditions in mountain areas might make such investments more effective in promoting child health. Nutrition programs targeting to the least educated groups in plain and in edge areas would be critical to their cost-effectiveness.
引用
收藏
页数:8
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