• The Journal of the Korean dental association
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• v.54 no.6
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• pp.468-474
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• 2016

Korean government enacted the 1st Basic Plan for Low Fertility and Population Ageing in 2005 due to the long-lasting ultra-low birth rate. Based on the Act, Korean government set up a step-by-step strategic goal and establish a basic plan, every five years, to achieve the sustainable development of society corresponding to low fertility and aging society. Over the past decade, the 1st Basic Plan for Low Fertility and Population Ageing (2006-2010) and the 2nd Basic Plan for Low Fertility and Population Ageing (2011-2015) was executed. This year, based on the achievements and limitations of the 1st and 2nd Basic Plan, the 3rd Basic Plan for Low Fertility and Population Ageing begins. In this manuscript, I discuss the background of the 3rd Basic Plan and its significance in oral health area.

• 대한생식의학회:학술대회논문집
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• 2006.11a
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• pp.121.2-122
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• 2006

• 대한생식의학회:학술대회논문집
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• 2006.06a
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• pp.164.1-164.1
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• 2006

• 대한생식의학회:학술대회논문집
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• 2006.06a
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• pp.169.2-169.2
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• 2006

• Clinical and Experimental Reproductive Medicine
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• v.46 no.2
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• pp.95-98
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• 2019

Obstructive azoospermia caused by acute epididymitis is usually permanent, and microsurgical vasoepididymostomy is the only reconstructive treatment option. There have been no reports of delayed recovery of sperm count after over 1 year in a patient with obstructive azoospermia related to history of acute epididymitis. We present a young male patient who had azoospermia and a history of acute epididymitis who experienced delayed recovery, with complete restoration of sperm production and the ability to conceive naturally.

• The Korean Journal of Applied Statistics
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• v.34 no.1
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• pp.75-98
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• 2021

This paper compares three statistical models that examine the relationship between national and provincespecific fertility rates. The three models are two of the regression models and a cointegration model. The regression model is by substituting Gompit transformation for the cumulative fertility rate by the average for ten years, and this model applies the raw data without transformation of the fertility data. A cointegration model can be considered when fitting the unstable time series of fertility rate in probability process. This paper proposes the following when it is intended to derive the relation of non-stationary fertility rate between the national and provinces. The cointegrated relationship between national and regional fertility rates is first derived. Furthermore, if this relationship is not significant, it is proposed to look at the national and regional fertility rate relationships with a regression model approach using raw data without transformation. Also, the regression model method of substituting Gompit transformation data resulted in an overestimation of fertility rates compared to other methods. Finally, Seoul, Busan, Daegu, Incheon, Gwangju, Daejeon and Gyeonggi province are expected to show a total fertility rate of 1.0 or less from 2025 to 2030, so an urgent and efficient policy to raise this level is needed.

• The Korean Journal of Applied Statistics
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• v.31 no.6
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• pp.677-692
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• 2018

The total fertility rate of Korea was 1.05 in 2017, showing a return to the 1.08 level in the year 2005. 1.05 is a very low fertility level that is far from replacement level fertility or safety zone 1.5. The number may indicate a low fertility trap. It is therefore important to predict fertility than at any other time. In the meantime, we have predicted the age-specific fertility rate and total fertility rate by various statistical methods. When the data trend is disconnected or fluctuating, it applied a nonparametric method applying the smoothness and weight. In addition, the Bayesian method of using the pre-distribution of fertility rates in advanced countries with reference to the three-stage transition phenomenon have been applied. This paper examines which method is reasonable in terms of precision and feasibility by applying estimation, forecasting, and comparing the results of the recent variability of the Korean fertility rate with parametric, non-parametric and Bayesian methods. The results of the analysis showed that the total fertility rate was in the order of KOSTAT's total fertility rate, Bayesian, parametric and non-parametric method outcomes. Given the level of TFR 1.05 in 2017, the predicted total fertility rate derived from the parametric and nonparametric models is most reasonable. In addition, if a fertility rate data is highly complete and a quality is good, the parametric model approach is superior to other methods in terms of parameter estimation, calculation efficiency and goodness-of-fit.

• Journal of Families and Better Life
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• v.28 no.6
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• pp.59-69
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• 2010

This study is to understand the determinants affecting women's fertility behavior (additional fertility plan) using the Korean Longitudinal Survey of Women & Families of 2007. Patterns of married women's life courses are divided into five groups depending on family role and economic activity: family-centered (no work experience) type, latent M type, M type, work-family reconciliation type, and first job entry type. This study performs a binomial logistic regression analysis and the key findings from the study are summarized as follows. First, five distinctive patterns show the different composition: family-centered type (4.5%), latent M type (69.6%), M type (10.4%), work-family reconciliation type (7.4%), and first job entry type (8.1%). Second, socio-economic characteristics, husband characteristics, and value characteristics are statistically significant to additional fertility behavior ; however, institutional character is not significant. Finally, significant factors affecting additional fertility plans vary in different patterns of life courses. Based on these results, this study suggests some policy implications and future research directions.

• Korean Journal of Occupational Health Nursing
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• v.19 no.1
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• pp.41-49
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• 2010

Purpose: This study is a descriptive survey research on factors related to fertility intention of nurses who work in general hospitals, by applying the Theory of Planned Behavior(TPB). Method: The research subjects are 674 nurses at the peak fertility age of 20-39 years old, who work in 4 general hospitals located in Seoul and Gyeonggi province. Result: The mean score of subjects' fertility intention is 3.69 in 5-point scale. The fertility intention was significantly influenced by perceived behavioral control and subjective norm. Conclusion: The results of the study showed that the fertility intention of the nurses in general hospitals was influenced by the TPB variables such as the attitude, perceived behavioral control, and subjective norm. Thus, a comprehensive approach strategy is needed considering these factors.

• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.229-263
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• 2019

The Korean fertility rate has been declining rapidly since 2000 with the fertility rate among provinces following a uniform tendency. In particular, the province-specific fertility rate is an essential tool for local governments to prepare local policies for low fertility aging policy, education and welfare policies. However, there is limitation on how to reflect different trends on the province-specific fertility rate because the KOSTAT's (2017) province-specific fertility rate projection estimates information use the national average birth rate date of vital statistics for the last 10 years (5 years). In this study, we propose an improvement plan that simultaneously considers important stable pattern maintenance and provincial fertility rate differentiation for an annual birth rate estimation. The method proposed in this study (proposal 1 and 2) can reflect birth rate changes from past to present and national and provincial differences by age that use time series data of the annual fertility rate. Proposal 3 also reflects the unique fertility rate trend from the past to the present by age according to province regardless of the relationship with the national trend. Therefore, it is preferable to use a relationship to the national rate when predicting the birth rate, as in proposals 1 and 2 because the national and the provincial fertility rate pattern are similar. These proposals show improved stability in terms of age-specific fertility rates.