ABSTRACT
Although numerous studies have found higher rates of abortion and still births following consanguinity [familial marriages], the question of whether consanguinity significantly increases the risk of neonatal death has inadequately been addressed.This study aims to evaluate familial marriage effects on neonatal death in rural areas in Iran. In this nested case-control study, 6900 newbornswho were born in rural areas of Kohgiluyeh and Boyerahmad Province [South-West of Iran] were followed till the end of neonatal period, and neonatal death was the outcome of interest. Subsequently 97 cases and 97 controls were selected in study cohort by using risk set sampling model. Crude and adjusted odds ratios [OR] were estimated by using a conditional logistic regression model. In the final model, prematurity [OR = 5.57], low birthweight [LBW] [OR = 7.68], consanguinity [first cousins] [OR = 5.23], C-section [OR = 7.27], birth rank more than 3 [OR = 6.95] and birthsinterval less than 24 months [OR = 4.65] showed significant statistical association with neonatal mortality [p < 0.05]. According to our findings, after adjusting the effects of other significant risk factors, familial marriage to first cousins is considered as an important risk factor for neonatal death
ABSTRACT
In the past three decades, Tehran, capital of Iran, has experienced warmer summers so we need to determine heat-related mortality to establish appropriate public health activities during hot summers. The aim of this study was to detect heat waves during the last decades and then determine excess mortality in immediate and lagged times. An ecological study based on time-series model was conducted in Tehran for re-cent decade using generalized linear lagged model [GLLM] with Poisson regression in 2001-2011. Maximum daily temperature was heat exposure for death outcome on the same day [lag 0], 3 [lag 01] and also 7 [lag 02] day moving average. Relative risk with 95% confidence was reported to quantify for increasing of daily mortalities for 1[degree sign]C risen exposure. Air pollutants considered as confounders in final model. Total excess mortality during 17 heat waves was 1069 [8.9 deaths/Heat wave days]. All non-external cause of death increased significantly during heat waves [3%-9%] with [RR= 1.03, 95% CI: 1.01, 1.05 and RR=1.09, 95% CI: 1.07, 1.09] and after adjusting for ozone and PM10 raised. Cause-specific deaths [especially circulatory disease] and death among elderly increased during heat waves [especially in the hottest wave]. The largest positive lagged effect of hot temperature although seen during hottest waves for all mortalities. Three waves had the most harvest effect for all categories of mortalities. This study showed excess mortalities resulted from hot temperatures and exacerbated with air pollutants in Tehran in the context of climate change. Forward displacement mortality and lagged mortalities were seen, but our results were not conclusive about the displacement pattern of mortalities