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1.
Journal of Preventive Medicine and Public Health ; : 154-160, 2019.
Artículo en Inglés | WPRIM | ID: wpr-915850

RESUMEN

OBJECTIVES@#Stillbirth is a common adverse pregnancy outcome that represents a distressing and traumatic event for women and their partners. The aim of this study was to identify factors associated with stillbirth in ever-pregnant women in Nepal.@*METHODS@#This study utilized the individual women's dataset from the Nepal Demographic and Health Survey, conducted in 2016. The dependent variable of interest was whether women had at least 1 stillbirth during their lifetime. The associations between independent variables and the dependent variable of the study were analyzed using a multiple logistic regression model.@*RESULTS@#Among 8918 ever-pregnant women aged 15-49 years, 488 had experienced at least 1 stillbirth during their lifetime, representing 5.5% of the total. After adjusting each factor for the confounding effects of other factors, maternal age, maternal education, place of residence, and sub-region remained significantly associated with having experienced stillbirth.@*CONCLUSIONS@#Stillbirth continues to be a major problem among women, especially those with higher maternal age, those who are illiterate, and residents of certain geographical regions. To minimize stillbirth in Nepal, plans and policies should be focused on women with low education levels and residents of rural areas, especially in the western mountain and far-western hill regions.

2.
Korean Journal of Preventive Medicine ; : 154-160, 2019.
Artículo en Inglés | WPRIM | ID: wpr-766137

RESUMEN

OBJECTIVES: Stillbirth is a common adverse pregnancy outcome that represents a distressing and traumatic event for women and their partners. The aim of this study was to identify factors associated with stillbirth in ever-pregnant women in Nepal. METHODS: This study utilized the individual women's dataset from the Nepal Demographic and Health Survey, conducted in 2016. The dependent variable of interest was whether women had at least 1 stillbirth during their lifetime. The associations between independent variables and the dependent variable of the study were analyzed using a multiple logistic regression model. RESULTS: Among 8918 ever-pregnant women aged 15-49 years, 488 had experienced at least 1 stillbirth during their lifetime, representing 5.5% of the total. After adjusting each factor for the confounding effects of other factors, maternal age, maternal education, place of residence, and sub-region remained significantly associated with having experienced stillbirth. CONCLUSIONS: Stillbirth continues to be a major problem among women, especially those with higher maternal age, those who are illiterate, and residents of certain geographical regions. To minimize stillbirth in Nepal, plans and policies should be focused on women with low education levels and residents of rural areas, especially in the western mountain and far-western hill regions.


Asunto(s)
Femenino , Humanos , Embarazo , Conjunto de Datos , Educación , Encuestas Epidemiológicas , Modelos Logísticos , Edad Materna , Nepal , Resultado del Embarazo , Mujeres Embarazadas , Mortinato
3.
Journal of Research in Health Sciences [JRHS]. 2014; 14 (1): 18-22
en Inglés | IMEMR | ID: emr-133215

RESUMEN

Liver cancer mortality is high in Thailand but utility of related vital statistics is lim-ited due to national vital registration [VR] data being under reported for specific causes of deaths. Accurate methodologies and reliable supplementary data are needed to provide worthy national vital statistics. This study aimed to model liver cancer deaths based on verbal autopsy [VA] study in 2005 to provide more accurate estimates of liver cancer deaths than those report-ed. The results were used to estimate number of liver cancer deaths during 2000-2009. A verbal autopsy [VA] was carried out in 2005 based on a sample of 9,644 deaths from nine provinces and it provided reliable information on causes of deaths by gender, age group, location of deaths in or outside hospital, and causes of deaths of the VR database. Lo-gistic regression was used to model liver cancer deaths and other variables. The estimated probabilities from the model were applied to liver cancer deaths in the VR database, 2000-2009. Thus, the more accurately VA-estimated numbers of liver cancer deaths were obtained. The model fits the data quite well with sensitivity 0.64. The confidence intervals from statistical model provide the estimates and their precisions. The VA-estimated numbers of liver cancer deaths were higher than the corresponding VR database with inflation factors 1.56 for males and 1.64 for females. The statistical methods used in this study can be applied to available mortality data in developing countries where their national vital registration data are of low quality and supple-mentary reliable data are available.

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