R Chaman , M Yunesian , B Golestan , K Holakouie Naieni ,
Volume 3, Issue 3 (2-2008)
Abstract
Background and Objectives: A pregnancy can be considered high-risk if there are conditions that put the mother or the baby at higher-than-average risk of morbidity or mortality. Neonatal mortality rate is one of the most important indices of children's health status. The present study was conducted to evaluate the effects of high-risk states on neonatal mortality.
Methods: We performed a nested case-control study in the rural areas of Kohgiluyeh and Boyerahmad province. Within the study cohort, 97 cases and 97 controls were selected by a risk-set sampling method. Data were analyzed with univariate and multivariate conditional logistic regression models.
Results: Neonatal mortality was shown to increase significantly in high-risk pregnancies. There were no substantial differences between crude odds ratios and those adjusted for the presence of other risk factors (crude odds ratio decreased from 5.5 to an adjusted figure of 3.25 for pregnancies with one risk factor and from 5.21 to adjusted level of 4.80 for pregnancies with more than one risk factor).
Conclusions: High-risk pregnancies need great attention in family health and prenatal care programs, especially in remote rural areas. Within our rural health network there are potential cohorts for use in nested case-control studies, especially in the evaluation of neonatal mortality risk factors.
Am Mosadeghrad, A Pour Reza , N Abolhasan Beigi Galezan , Sh Shahebrahimi,
Volume 14, Issue 4 (3-2019)
Abstract
Background and Objectives: Human Development Index (HDI) is an important indicator of a country’s development. On the other hand, mortality indicators are the most important indicators of the health of a society. This study aimed to examine the association between HDI and maternal, neonatal, infant, and under-five mortality rates in Iran between 2005 and 2016.
Methods: This longitudinal study was conducted using data collected from Iran Statistics Center, World Health Organization, and United Nations Development Program. SPSS software version 22 was used for data analysis. Pearson correlation test was applied to examine the correlation between HDI and mortality rates. Regression analysis was used to measure the effect of HDI on mortality rates.
Results: HDI increased from 0.690 in 2005 to 0.774 in 2016 (12% rise). Maternal, neonatal, infant, and under-five mortality rates decreased by 26, 41, 52, and 42% in 2016 compared to 2005, respectively. HDI had a significant indirect association with maternal (-0.973), neonatal (-0.983), infant (-0.739), and under-five mortality (-0.987). An increase of 0.01 in HDI reduced 1 maternal death per 100,000 births. An increase of 0.014, 0.009, and 0.008 in HDI decreased one neonatal, infant, and under-five death per 1000 births.
Conclusion: The results showed that increased HDI correlated with decreased mortality rates. Therefore, policy-makers should pay more attention to socio
