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Survival in the perinatal period: a prospective analysis

Published online by Cambridge University Press:  31 July 2008

Barry M. Popkin ,
David K. Guilkey ,
J. Brad Schwartz  and
Wilhelm Flieger
Barry M. Popkin
Affiliation:
Carolina Population Center, University of North Carolina, Chapel Hill
David K. Guilkey
Affiliation:
Center for International Development, Research Triangle Institute, NC, USA
J. Brad Schwartz
Affiliation:
Carolina Population Center, University of North Carolina, Chapel Hill
Wilhelm Flieger
Affiliation:
Office of Population Studies, University of San Carlos, Cebu City, Philippines
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Summary

A prospective study of 3080 Filipino mothers and non-twin births in 33 communities is used to study the determinants of mortality in week 1 postpartum. The results show significant nonlinear birth weight effects and the importance of environmental contamination, particularly for infants born by traditional methods at home, and several other intermediate and underlying determinants of perinatal mortality. The pathways through which important sociodemographic factors affect perinatal mortality are also presented.

Type
Research Article
Information
Journal of Biosocial Science , Volume 25 , Issue 3 , July 1993 , pp. 359 - 370
Copyright
Copyright © 1993, Cambridge University Press

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References

Adair, L. S. & Popkin, B. M. (1988) Birth weight, maturity, and proportionality in Filipino infants. Hum. Biol. 60, 319.Google ScholarPubMed
Araujo, G., Araujo, L., Janowitz, B., Wallace, S. & Potts, M. (1983) Improving obstetrical care in northeast Brazil. PAHO Bulletin, 17, 233.Google ScholarPubMed
Bailey, P., Tsui, A. O., Janowitz, B., Dominik, R. & Araujo, L. (1990) A study of infant mortality and causes of death in a rural North-East Brazilian community. J. biosoc. Sci. 22, 349.CrossRefGoogle Scholar
Barros, F. C., Victoria, C. G., Vaughan, P. & Smith, P. C. (1986) Birth weight and duration of breast-feeding are the beneficial effects of human milk being overestimated? Pediatrics, 78, 656.Google ScholarPubMed
Bernard, R. P. & Sastrawinata, S. (1985) Infant outcome, fetal growth, and pregnancy care: relationships in Indonesian university obstetrics. Acta paediatr. scand. (Suppl.) 319, 111.CrossRefGoogle ScholarPubMed
Butz, W. P., Habicht, J-P. & DaVanzo, J. (1984) Environmental factors in the relationship between breastfeeding and infant mortality: the role of sanitation and water in Malaysia. Am. J. Epidemiol. 119, 516.CrossRefGoogle ScholarPubMed
Cebu Study Team (1991) Underlying and proximate determinants of child health: the Cebu longitudinal health and nutrition study. Am. J. Epidemiol. 133, 185.CrossRefGoogle Scholar
DaVanzo, J., Butz, W. P. & Habicht, J-P. (1983) How biological and behavioral influences on mortality in Malaysia vary during the first year of life. Popul. Stud. 37, 381.CrossRefGoogle Scholar
DaVanzo, J., Habicht, J-P. & Butz, W. P. (1984) Assessing socioeconomic correlates of birth-weight in Peninsular Malaysia: ethnic differences and changes over time. Social Sci. Med. 18, 387.Google ScholarPubMed
Eberstein, I. W. (1989) Demographic research on infant mortality. Social. Forum, 4, 409.CrossRefGoogle Scholar
Edouard, L. (1985) The epidemiology of perinatal mortality. World Health Statist. Q. 38, 298.Google ScholarPubMed
Fernandez, MA. E. & Popkin, B. M. (1988) Prelacteal feeding patterns in the Philippines. Ecol. Food Nutr. 21, 303.CrossRefGoogle Scholar
Flieger, W. (1988) Levels and Patterns of Child Mortality in Metro Cebu, Philippines. Office of Population Studies, University of San Carlos, Cebu City, Philippines.Google Scholar
Gillings, D., Makuc, D. & Siegel, E. (1981) Analysis of interrupted time series mortality trends: an example to evaluate regionalized perinatal care. Am. J. publ. Hlth, 71, 38.CrossRefGoogle ScholarPubMed
Guilkey, D. K., Popkin, B. M., Akin, J. S. & Wong, E. (1989) Prenatal care and pregnancy outcome in the Philippines. J. Dev. Econ. 30, 241.CrossRefGoogle Scholar
Hansen, L. P. (1982) Large sample properties of generalized method of moments estimators. Econometrica, 50, 1029.CrossRefGoogle Scholar
Kramer, M. S. (1987) Determinants of low birth weight: methodological assessment. Bull. WHO, 65, 663.Google ScholarPubMed
Maddala, G. S. (1983) Limited-dependent and Qualitative Variables in Econometrics. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Mosley, W. H. & Chen, L. (1984) An analytic framework for the study of child survival in developing countries. Popul. Dev. Rev. Suppl. 10, 25.CrossRefGoogle Scholar
Narayanan, I., Prakash, K., Prabhakar, A. K. & Gujral, V. V. (1982) A planned prospective evaluation of the anti-infective property of varying quantities of expressed human milk. Acta paediatr. scand. 71, 441.CrossRefGoogle ScholarPubMed
Pagan, A. & Vella, F. (1990) Diagnostic tests for models based on individual data. J. Appl. Econ. 4, 529.Google Scholar
Popkin, B. M., Adair, L. S., Akin, J. S., Black, R., Briscoe, J. & Flieger, W. (1990) Breast-feeding and diarrheal morbidity. Pediatrics, 86, 874.CrossRefGoogle ScholarPubMed
Rosenzweig, M. S. & Schultz, T. P. (1982) Market opportunities, genetic endowments and intrafamily resource distribution: child survival in rural India. Am. econ. Rev. 72, 803.Google Scholar
Rosenzweig, M. S. & Schultz, T. P. (1983) Estimating a household production function: heterogeneity, the demand for health inputs, and their effects on birthweight. J. polit. Economy, 92, 723.CrossRefGoogle Scholar
Schultz, T. P. (1984) Studying the impact of household economic and community variables on child mortality. Popul. Dev. Rev. Suppl. 10, 215.CrossRefGoogle Scholar
Schwartz, J. B., Akin, J. S. & Popkin, B. M. (1988) Price and income elasticities of demand for modern health care: the case of infant delivery in the Philippines. World Bank Econ. Rev. 2, 49.CrossRefGoogle ScholarPubMed
Shah, U., Pratinidhi, A. K. & Bhatlawande, P. V. (1984) Perinatal mortality in rural India: intervention through primary care. II. Neonatal mortality. J. Epidemiol. comm. Hlth, 38, 138.CrossRefGoogle ScholarPubMed
Smucker, C. M., Simmons, G. B., Bernstein, S. & Misra, B. D. (1980) Neo-natal mortality in South Asia: the special role of tetanus. Popul. Stud. 34, 321.CrossRefGoogle ScholarPubMed
Stewart, J. F., Popkin, B. M., Guilkey, D. K., Akin, J. S., Adair, L. S. & Flieger, W. (1991) Influences on the extent of breast-feeding: a prospective study in the Philippines. Demography, 28, 181.CrossRefGoogle ScholarPubMed
Victora, C. G., Barros, F. C., Vaughan, J. P. & Teixeira, A-M. B. (1987) Birthweight and infant mortality: a longitudinal study of 5914 Brazilian children. Int. J. Epidemiol. 16, 239.CrossRefGoogle ScholarPubMed
Wong, E., Popkin, B. M., Akin, J. S. & Guilkey, D. K. (1987) Accessibility, quality of care, and prenatal care use in the Philippines. Social Sci. Med. 24, 927.CrossRefGoogle ScholarPubMed
Zohoori, N., Popkin, B. M. & Fernandez, M. (1993) Breast-feeding patterns in the Philippines: a prospective analysis. J. biosoc. Sci. 25, 127.CrossRefGoogle ScholarPubMed