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Fetal infant mortality review the next step in addressing infant mortality in Tarrant County /Peachy, Latawnya D. January 2008 (has links)
Report-in-lieu-of-Thesis (M.P.H.)--University of North Texas Health Science Center at Fort Worth, 2008. / Title from title page display. Bibliography: p. 29-31.
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Pre-school child mortality in the NetherlandsGelderen, H. H. van January 1955 (has links)
Issued also as thesis, Leyden.
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Certain specific reasons for the reduction of infant mortality in the United States during the past twenty-five years, and some factors that have contributed to the decline from these causes a thesis submitted in partial fulfillment ... Master of Public Health ... /Boyd, Frances McDonald. January 1944 (has links)
Thesis (M.P.H.)--University of Michigan, 1944.
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Neonatal mortality in Indiana a questionnaire survey of deaths during 1939 : a thesis submitted in partial fulfillment ... Master of Science in Public Health ... /Jewett, Robert E. January 1941 (has links)
Thesis (M.S.P.H.)--University of Michigan, 1941.
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Pre-school child mortality in the NetherlandsGelderen, H. H. van January 1955 (has links)
Issued also as thesis, Leyden.
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Certain specific reasons for the reduction of infant mortality in the United States during the past twenty-five years, and some factors that have contributed to the decline from these causes a thesis submitted in partial fulfillment ... Master of Public Health ... /Boyd, Frances McDonald. January 1944 (has links)
Thesis (M.P.H.)--University of Michigan, 1944.
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Neonatal mortality in Indiana a questionnaire survey of deaths during 1939 : a thesis submitted in partial fulfillment ... Master of Science in Public Health ... /Jewett, Robert E. January 1941 (has links)
Thesis (M.S.P.H.)--University of Michigan, 1941.
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The determinants of perinatal mortality in a teaching group of hospitals in Southern AfricaKnutzen, Victor Keith 07 April 2020 (has links)
Icebergs - Why start a thesis thinking about icebergs? Death from medical conditions represents the tip of an iceberg.
What causes death in some, will maim, injure or leave damaged in others. Death remains a parameter with which to measure part of the effect of a disorder on the mother or fetus. What will prevent mortality will prevent morbidity and it is
largely towards the prevention of the latter that modern medicine is aimed.
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Socioeconomic determinants of infant mortality in KenyaMustafa, Hisham 23 October 2008 (has links)
Background: This study examines the socioeconomic factors associated with infant and
postneonatal mortality in Kenya and tries to quantify these associations in order to put
those factors in ranked order so as to prioritize them in health policy plans aiming to
decrease infant and postneonatal mortality. The study has used wealth index, mother’s
highest educational level, mother’s occupation and place of residence as exposures of
interest. Methods: The study uses analytical cross-sectional design through secondary
data analysis of the 2003 Kenyan Demographic and Health Survey (KDHS) dataset for
children. Series of logistic regression models were fitted to select the significant factors
both in urban and rural areas and for infant and postneonatal mortality, separately,
through the use of backward stepwise technique. Then the magnitude of the significance
for each variable was tested using the Wald’s test, and hence the factors were ranked
ordered according to their overall P-value. Results: After excluding non-singleton births
and children born less than one year before the survey, a sample size of 4 495 live births
was analyzed with 458 infants died before the first year of life giving IMR of 79.6 deaths
per 1000 live births. After adjusting for all biodemographic and other health outcome
determining factors, the analyses show no significant association between socioeconomic
factors and infant mortality in both urban and rural Kenya. The exclusion of deaths that
occurred in the first month of ages shows that risk of postneonatal (OR 3.09; CI: 1.29 –
7.42) mortality, in urban Kenya, were significantly higher for women working in
agricultural sector than nonworking women. While in rural Kenya, the risk of
postneonatal (OR 0.42; CI: 0.20 – 0.90) mortality were significantly lower for mothers with secondary school level of education than mothers with no education. Conclusions:
There is lack of socioeconomic differentials in infant mortality in both urban and rural
Kenya. However, breastfeeding, ethnicity and gender of the child in urban areas on one
hand and breastfeeding, ethnicity and fertility factors on the other hand are the main
predictors of mortality in this age group. Furthermore, results for postneonatal mortality
show that level of maternal education is the single most important socioeconomic
determinant of postneonatal mortality in urban Kenya while mother’s occupation is the
single most important socioeconomic determinant of postneonatal mortality in rural
areas. Other determinants of postneonatal mortality are ethnicity and gender of the child
in urban areas, while in rural areas; the other main predictors are ethnicity, breast feeding
and fertility factors.
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The relationship between mothers' maternal age and infant mortality in Zimbabwe.Dube, Ziphozonke Bridget 29 June 2012 (has links)
Background: This study examined the relationship between mothers’ age at first birth and infant mortality in Zimbabwe. Childbearing at a significantly young age has been noted to be a predictor of infant mortality, as children born to young mothers are at a greater risk of early death.
Methods: This is a cross-sectional, secondary study which uses the data from the Zimbabwe Demographic and Health Survey 2005-2006. The population of interest in this study are women of reproductive ages in Zimbabwe, who have had children within the last five years prior to the survey. A total of 4074 women are used as the sample in this study. The dependent variable is infant mortality, which is understood as the deaths of infants between the period of birth and their first birthday. The independent variables include demographic, socio-economic and reproductive characteristics of the women. The analysis of data was undertaken at three levels. Univariate analysis, binary logistic regression and multivariate logistic regression were conducted. In addition, stepwise logistic regression was applied to the multivariate analysis to analyse the relationship between the significant variables found in the study in relation to infant mortality.
Results: This study confirmed an association between mothers’ age at first birth and infant mortality as infants born to mothers of 18 years and younger suffer higher risk of infant mortality, as they have a 33% increased risk in comparison to infants born to older women. This indicates the need for policy development focused on the issue adolescent childbearing and how childbearing can be delayed in Zimbabwe in order to reduce infant mortality. Furthermore the reproductive characteristics of the mother prove to have great impact on infant mortality within the country. Thus the importance of policies focused on women’s reproductive health care.
Conclusions: This study confirms that mothers’ age at first birth is a central influential factor in infant mortality in Zimbabwe. Infant mortality cannot be isolated from the characteristics of mothers, in particular her age at first birth, as they are more often the primary care-givers thus have immense influence on whether the infants survive or not.
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