132 Poverty Inequality and Maternal Morbidity Rate Trends Analysis In China: 1989-2005

Tuesday, April 24, 2012
Abay Poster Exhibition and Hall (Millennium Hall)
Xiaoying Zheng Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, China
Jilei Wu Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, China
Gong Chen Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, China
Xinming Song Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, China
Lei Zhang Institute of Population Research/WHO Collaborating Center on Reproductive Health and Population Science, Peking University, China
Background With the incidence of extreme poverty fell, the maternal morbidity rate (MMR) drops down dramatically in China. However, whether and how poverty inequality, which exists undoubted in spatial and temporal, influence maternal morbidity is unknown. We aimed to measure poverty uneven changes and MMR trends by referenced data of China.

 Methods Correlation between PG indexes (whole, urban, rural) and MMRs(total, urban, rural) was estimated using data of years 1989-2001. Drawing scatter points plot with provinces’ MMR trends and rural PG index, we got four types regions for understanding the patterns of them. 

Findings Total MMR has coefficient of 0.895 with the whole PG index (sig. 0.01 level). Rural MMR has coefficient of 0.776 with rural PG index (sig. 0.01 level). Rural MMR and PG index played more important role in maternal morbidity reduction and poverty alleviation. Scatter plot on MMR trends and rural PG index shown different characters on economic development and maternal death status.

Interpretation Although economy development and poverty reduction drop down MMRs, maternal death in rural areas becomes the major part account for the whole, as poverty gap exists in China. Understanding the patterns of MMR trends and rural PG index would help poverty reduction and drop down the MMR in China, and help inform developing countries struggling to  the challenge in maternal death eliminating.

 Keywords:  poverty gap index; maternal morbidity rate trends; China


Learning Objectives: Background With the incidence of extreme poverty fell, the maternal morbidity rate (MMR) drops down dramatically in China. However, whether and how poverty inequality, which exists undoubted in spatial and temporal, influence maternal morbidity is unknown. We aimed to measure poverty uneven changes and MMR trends by referenced data of China. Methods Correlation between PG indexes (whole, urban, rural) and MMRs(total, urban, rural) was estimated using data of years 1989-2001. Drawing scatter points plot with provinces’ MMR trends and rural PG index, we got four types regions for understanding the patterns of them. Findings Total MMR has coefficient of 0.895 with the whole PG index (sig. 0.01 level). Rural MMR has coefficient of 0.776 with rural PG index (sig. 0.01 level). Rural MMR and PG index played more important role in maternal morbidity reduction and poverty alleviation. Scatter plot on MMR trends and rural PG index shown different characters on economic development and maternal death status. Interpretation Although economy development and poverty reduction drop down MMRs, maternal death in rural areas becomes the major part account for the whole, as poverty gap exists in China. Understanding the patterns of MMR trends and rural PG index would help poverty reduction and drop down the MMR in China, and help inform developing countries struggling to the challenge in maternal death eliminating. Keywords: poverty gap index; maternal morbidity rate trends; China
See more of: Poster Session: Maternal and Child Health – Achieving MDGs & Sustaining Them
See more of: Maternal and Child Health – Achieving MDGs & Sustaining Them
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