1.Should advanced maternal age be a reasonable indication for invasive diagnostic testing?.
Obstetrics & Gynecology Science 2013;56(3):135-136
No abstract available.
Maternal Age
2.Analysis and suggested proper maternal age according to theindication for prenatal genetic diagnosis.
Young Ho YANG ; Chang Kyu KIM ; Se Kwang KIM ; In Kyu KIM ; Hea Seung LEE ; Chan Ho SONG
Korean Journal of Obstetrics and Gynecology 1992;35(4):461-470
No abstract available.
Diagnosis*
;
Maternal Age*
3.Clinical analysis of the effect of maternal age on primary cesarean birth rate.
Ahm KIM ; In Sik LEE ; Jung Eun MOK
Korean Journal of Perinatology 1993;4(1):57-65
No abstract available.
Birth Rate*
;
Maternal Age*
;
Parturition*
4.To remark about maternal mortality in 1991-2000 period in Thai Binh province
Journal of Vietnamese Medicine 2004;297(4):50-54
Study on maternal mortality and maternal mortality-induced basic causes in Thai Binh province during 1991-2000. The results: maternal mortality by different causes is 61.1%. Direct causes on maternal mortality are uterine hemorrhage, toxemia of pregnancy, infection, rupture of uterus and curettage for abortion. Maternal mortality by indirect causes is 34.4%, in which, nearly a half of deaths due to pregnant cardiopathies and over a half of deaths due to other indirect causes. There are 6 cases of maternal mortality not diagnosed. Maternal mortality occurs mainly at the age from 25 to 39 years old
Maternal Mortality
;
Epidemiology
;
Diagnosis
;
Age Factors
5.Family Planning and Maternal and Child Health.
Yonsei Medical Journal 1970;11(1):67-76
No abstract available.
Abortion, Induced
;
Child Welfare*
;
Family Planning*
;
Female
;
Human
;
Infant, Newborn
;
Korea
;
Male
;
Maternal Age
;
Maternal Mortality
;
Maternal Welfare*
;
Pregnancy
8.Clinical Significance of Lower Uterine Segment Thickness in Term Pregnancy.
Korean Journal of Obstetrics and Gynecology 2006;49(6):1332-1337
OBJECTIVE: The aim of this study was to evaluate the role of lower uterine segment thickness in predicting an actual delivery date and to determine the factors affecting the depth of lower uterine segment. METHODS: Sixty patients with singleton gestation were weekly measured for their lower uterine segment (LUS), cervical length, cervical gland thickness and AFI by ultrasonography from 36 weeks. The regression analysis was carried to find out the relevance between LUS and the remaining days to birth and Pearson correlation analysis was performed for relevance between LUS and other factors such as maternal age, parity, cervical length, cervical gland thickness, and AFI. RESULTS: LUS became thin as cervical length decreasing. However, the relevance between LUS and other factors such as age, parity, cervical gland thickness, and AFI was not found. While individual LUS thickness is decreasing as delivery date becomes closer, LUS thickness as a group is found not to be related with the delivery date. CONCLUSION: In term pregnancy, LUS thickness decreases with cervical change but it cannot predict the delivery date.
Female
;
Humans
;
Maternal Age
;
Parity
;
Parturition
;
Pregnancy*
;
Ultrasonography
9.Analysis of the Causes and Trends of Maternal Mortality in Korea: 2009-2014.
Korean Journal of Perinatology 2016;27(2):110-117
PURPOSE: This study was conducted to analyze recent trends and causes of maternal mortality in Korea between 2009 and 2014. METHODS: We investigated trends and causes of maternal death using the data from Complementary Investigations on the Infant, Maternal, and Perinatal Mortality carried out by Statistics Korea between 2009 and 2014. Maternal age, administrative district, causes of death and gestational age at the time of death were collected from data. Statistics including maternal mortality ratio (MMR) and maternal mortality rate were calculated. We also analyzed MMR according to the age, and administrative districts. The causes of maternal death were sorted and classified using International Classification of Diseases and World Health Organization recommendations. RESULTS: The average MMR during 6 years was 13.16 and maternal mortality rate was 0.45. MMR was highest in 2011 (17.2) and lowest in 2012 (9.9). The average MMR of the administrative districts varied greatly from 7.51 (Gwangju) to 26.84 (Jeju). The average MMR during the study period was lowest in maternal age of 20-24 (6.9), and highest in 45-49 (143.7). On average, direct and indirect maternal deaths accounted for 66.2% and 29.9% of total maternal death, respectively. The three most common causes of maternal deaths were obstetrical embolism (24.4%), postpartum hemorrhage (18.3%), and hypertensive disease of pregnancy (5.5%) in decreasing order of frequency. CONCLUSION: Although MMR is decreasing during the study period, it fluctuates widely according to maternal age, districts, and constant effort for improvements is necessary. To reduce maternal deaths, solution to control preventable causes of maternal deaths, careful management of pregnancies with advanced maternal age, and policy to solve the discrepancy in the medical services among diverse regions in the country are needed.
Cause of Death
;
Embolism
;
Gestational Age
;
Humans
;
Infant
;
International Classification of Diseases
;
Korea*
;
Maternal Age
;
Maternal Death
;
Maternal Mortality*
;
Perinatal Mortality
;
Postpartum Hemorrhage
;
Pregnancy
;
World Health Organization
10.Contribution of Maternal Age Distribution to Incidence of Preterm Birth in Multiple Births; from 1997~98 to 2014~15.
Journal of the Korean Society of Maternal and Child Health 2017;21(3):193-198
PURPOSE: To figure out the contribution of maternal age distribution to the preterm birth (PTB) rate of multiple births between 1997~98 and 2014~15. METHODS: Multiple birth certificate data of Korea Statistics were used for this analysis. There were 18,557 births in 1997~98 and 30,992 births in 2014~15. Kitagawa's decomposition method was used to examine the contribution of age-specific PTB rate and maternal age distribution of multiple births to overall increment of PTB rate in multiple births between 1997~98 and 2014~15. RESULTS: PTB rate of multiple births increased from 32.40 percent to 58.22 percent (odds ratio: 1.80, 95% confidence interval: 1.76~1.84) during 1997-2015. PTB rate of multiple births greatly increased for women aged 25~29 years (odds ratio: 2.09) during the same period. The rates increased 1.88 times for women aged ≤24 years, followed by women aged 30~34 years (OR: 1.65), women aged 35~39 years (1.54), and women aged ≥ 40 years (1.36). Most (78.7%) of the overall increment in PTB rate of multiple births was attributable to the increase in the dimension of women aged 30~34 years, and 49.9 percent for women aged 35~39 years. CONCLUSION: The total increment in the PTB rate of multiple births was explained by increase the proportion and the PTB rate of women aged 30~39 years. More research is needed to comprehend the contributing age factors to PTB rate of multiple births.
Age Factors
;
Female
;
Humans
;
Incidence*
;
Korea
;
Maternal Age*
;
Methods
;
Multiple Birth Offspring*
;
Parturition
;
Premature Birth*