Main Article Content

Abstract

Rationale:
A large proportion of child deaths had been accounted from neonatal deaths.
Mortality during neonatal period is considered a useful indicator of both maternal and
newborn health and care.
Aim of the study:
This study aimed to know the magnitude of IM, assessment of its distribution and
knowing of its main determinants
Subjects and method
A cross sectional observational study extending all over the past 2 years; from
January 2106 till the end of august of 2017 in Bint Al-Huda maternity and pediatrics
hospital-Thiqar-Iraq, through which 1188 deaths had been included, where age by
days, sex,date of death, address, day by the week, word, time of inward admission,
cause of death and lastly comorbid condition. Frequencies, percentages, figures, chisquare test, fisher exact test, Univariet and mulivarient analysis had been used in
order to reach the proposed aims. P value of less than 0.05 consider as significant.
Results:
The study involve 1188 infant deaths, distributed according to their early, late and
post neonatal life (69%, 10%,21%)respectively,IMR were higher among male than
females. Winter and autumn at 2016 were the higher seasons of death, while Summer
of 2017 register the highest death rate among infants,
There was no significant statistical association between the death number and
percentages and the day of death regarding their ordinal distribution with in the week
(p>0.05).According to the 20th months of the study; January, February and October of
2016 were the highest months of IM registration, while the July of 2017 was the
highest month of death for the infants, there was no significant statistical association
between sex distribution and place of residence of died infants, and also no sex
difference regarding the days of weeks at which the infants died .
Thi-Qar Medical Journal (TQMJ): Vol.(14), No.(2), 2017
Email:utjmed@utq.edu.iq Web Site: https://jmed.utq.edu.iq
344
the respiratory causes (52.1%) constituting the highest rate fallowed by septicemia
(18.1%), while the well-known infectious diseases and endocrine diseases
representing the lesser cause specific fatality rate (0.08%). There was a highly
significant statistical association between causes of death season of the year (P
<0.0001) age (P <0.0001). Residence of died infant showing significant statistical
association with the causes of death (p 0.011)
Conclusion: Early neonatal life representing the highest proportion of death risk than
other infantile life period, Male having more mortality rate at age of less than 1 year
of age, days of weeks had no significant difference in occurrence of death among
infants, seasonal variation of death had been noticed. 5-respiratory causes and
septicemia were the major killers. 6.age, place of residence and seasons had
significant statistical association with cause of death

Article Details

References

  1. - Handbook of Vital
  2. Statistics Systems and Methods,
  3. Volume 1: Legal, Organisational and
  4. Technical Aspects, United Nations
  5. Studies in Methods, Glossary, Series
  6. F, No. 35, United Nations, New York
  7. … Last updated on January 04,
  8. - WHO Mortality Database:
  9. Estimated completeness of mortality
  10. data for latest year.
  11. (http://www.who.int/healthinfo/mortta
  12. bles)
  13. - Perinatal and neonatal
  14. mortality. In preparation. Geneva.
  15. World Health Organization. 2005.
  16. - The World Health Report
  17. : make every mother and child
  18. count. Annex Table 8. Geneva, World
  19. Health Organization, 2005.
  20. (http://www.who.int/whr/2005/en/inde
  21. x.html) .
  22. - Conley D, Springer KW.
  23. Welfare state and infant mortality.
  24. AJS. 2001;107:768–807.
  25. - http://www.who.int/gho/child_
  26. health/mortality/mortality
  27. _under_five_text/en/
  28. - World health report 2005:
  29. Make every mother and child count.
  30. Geneva: WHO; 2005.
  31. - 8-Lawn JE, Cousens S, Zupan
  32. J. 4 million neonatal deaths: When?
  33. Where? Why? Lancet 2005; 365: 891-
  34. doi: 10.1016/S0140-
  35. (05)71048-5 pmid: 15752534.
  36. - Neonatal and perinatal
  37. mortality: country, regional and
  38. global estimates. Geneva: WHO;
  39. - Bhutta ZA. Maternal and
  40. child health in Pakistan: challenges
  41. and opportunities. Oxford University
  42. Press; 2004.
  43. - Jalil F. Perinatal health in
  44. Pakistan: a review of the current
  45. situation. ActaPaediatr 2004; 93:
  46. -9
  47. doi: 10.1080/08035250410017022 pm
  48. id: 15499944.
  49. - Lawn JE, Cousens SN,
  50. Wilczynska K. Estimating the causes
  51. of four million neonatal deaths in the
  52. year 2000: statistical annex. In: The
  53. world health report 2005. Geneva:
  54. WHO; 2005.
  55. - Darmstadt GL, Bhutta ZA,
  56. Cousens S, Adam T, Walker N, de
  57. Bernis L, et al., et al. Evidence-based,
  58. cost-effective interventions: how
  59. many newborn babies can we
  60. save? Lancet 2005; 365: 977-88
  61. doi: 10.1016/S0140-6736(05)71088-
  62. pmid: 15767001.
  63. - Martines J, Paul V, Bhutta
  64. ZA, Koblinsky M, Saucat A, Walker
  65. N, et al., et al. Neonatal survival: a
  66. call for action. Lancet 2005; 365:
  67. -97 doi: 10.1016/S0140-
  68. (05)71882-1 pmid: 15794974.
  69. - www.indexmundi.com › Factbook
  70. › Countries › Iraq › Demographics.
  71. - 16-Feng XL, Guo S, Hipgrave D,
  72. Zhu J, Zhang L, Song L, et al. China's
  73. facility-based birth strategy and
  74. neonatal mortality: a population-
  75. Thi-Qar Medical Journal (TQMJ): Vol.(14), No.(2), 2017
  76. Email:utjmed@utq.edu.iq Web Site: https://jmed.utq.edu.iq
  77. based epidemiological study. Lancet.
  78. ;378(9801):1493–500.View
  79. ArticlePubMedGoogle Scholar
  80. - Guglielmo Maria
  81. Caporale &Luis A. Gil-Alana, Infant
  82. mortality rates: time trends and
  83. fractional integration, journal of
  84. applied statitics,2015 vol.42(3);589-
  85. - Qi-Jun Wu,1 Li-Li Li,2 Jing
  86. Li,3 Chen Zhou,4 and Yan-Hong
  87. Huang3, Time trends of neonatal
  88. mortality by causes of death in
  89. Shenyang, 1997–2014, Oncotarget.
  90. Mar 29; 7(13): 16610–16618)
  91. - Zeitlin J, Saurel-Cubizolles
  92. MJ, De Mouzon J, Rivera L, Ancel PY,
  93. Blondel B, et al. Fetal sex and preterm
  94. birth: are males at greater risk? Hum
  95. Reprod. 2002;17(10):2762–8.View
  96. ArticlePubMedGoogle Scholar
  97. - Stevenson DK, Verter J,
  98. Fanaroff AA, Oh W, Ehrenkranz RA,
  99. Shankaran S, et al. Sex differences in
  100. outcomes of very low birthweight
  101. infants: the newborn male
  102. disadvantage. Arch Dis Child Fetal
  103. Neonatal Ed. 2000;83(3):F182–
  104. View
  105. ArticlePubMedPubMedCentralGoogle
  106. Scholar.
  107. - United Nations World
  108. Population Prospects: the 2015
  109. Revision - an XLS file
  110. - Miranda ML, Anthopolos R,
  111. Edwards SE. Seasonality of poor
  112. pregnancy outcomes in North
  113. Carolina. N C Med J.
  114. ;72(6):447–53.PubMedGoogle
  115. Scholar,
  116. - "CIA – The World Factbook:
  117. Infant Mortality Rate".
  118. Retrieved 2017-07-01.
  119. - http://www.who.int/gho/child_
  120. health/mortality/mortality_under_five_
  121. text/en

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