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Which factors explain the decline in infant and child mortality in Matlab, Bangladesh?

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Abstract

Infant and child mortality rates have decreased substantially in Matlab, Bangladesh, as they have in many developing areas. We use data from the Matlab Demographic Surveillance System on nearly 94,000 singleton live births that occurred between 1987 and 2002 to investigate the extent to which the change in mortality over this period can be explained by changes in reproductive patterns and socio-economic characteristics. We estimate Cox proportional hazards models for four subperiods of infancy and childhood. Changes over time in reproductive patterns (maternal age, parity, and pregnancy spacing) and in the socio-economic characteristics we consider (e.g. maternal education, SES) explain between 10 and 40% of the decline in mortality rates. Changes in maternal education explain the largest portion of the reduction in infant and child mortality over time that we are able to explain, followed by reductions in the incidence of short interpregnancy intervals. In the other direction, decreases in fertility over time led to increases in the proportion of births that were first births, putting upward pressure on mortality.

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Notes

  1. While our decomposition analysis focuses primarily on the relative importance of reproductive and socio-economic factors on the change in infant and child mortality over this time period, we are not able to identify the important interrelationships occurring between these groups of variables. For example, socio-economic factors such as increases in maternal education are associated with delays in age at marriage and first birth (Ahmed 1986; Gangadharan and Maitra 2003; Breierova and Duflow 2004). In the other direction, women who get pregnant early may be less likely to complete their education. In addition, maternal and child health and family planning programs may be contributing to changes in socio-economic status. Regular household family planning visits were shown to increase the status of women between 1988 and 1993 (Phillips and Hossain 2003). It is beyond the scope of this paper to disentangle whether changes in socio-economic factors are causing changes in reproductive factors, if it is the other way around, or if their simultaneous changes are caused by another factor.

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Acknowledgments

Support provided by the Office of Population and Reproductive Health, Bureau for Global Health, U.S. Agency for International Development under the terms of Cooperative Agreement No. HRN-A-00-00-00003-00 awarded to Catalyst Consortium. The consortium, which ended in 2005, was a partnership between Pathfinder International and the Academy for Educational Development, the Centre for Development and Population Activities, Meridian Group International, Inc, and PROFAMILIA/Colombia. The views expressed are those of the authors and do not reflect the opinions of the staff of the United States Agency for International Development, RAND, ICDDR,B, nor Pathfinder International. An earlier version of this paper was presented at the annual meeting of the Population Association of America, in New York, in 2007. Some of DaVanzo’s work on this paper was done while she was a visiting fellow at the Australian Demographic and Social Science Research Institute at the Australian National University. Some of Hale’s work was done while she was an NICHD-funded post-doctoral fellow at the RAND Corporation. ICDDR,B acknowledges with gratitude the commitment of USAID and CATALYST consortium to the Centre’s research efforts.

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Correspondence to Lauren Hale.

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Hale, L., DaVanzo, J., Razzaque, A. et al. Which factors explain the decline in infant and child mortality in Matlab, Bangladesh?. J Pop Research 26, 3–20 (2009). https://doi.org/10.1007/s12546-008-9003-0

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