Journal of Preventive Medicine and Public Health

English Abstract

Trends in Sex Ratio at Birth according to Parental Social Positions: Results from Vital Statistics Birth, 1981-2004 in Korea.: Heeran Chun, Il Ho Kim, Young Ho Khang; J Prev Med Public Health. 2009;42(2):143-150.; DOI: https://doi.org/10.3961/jpmph.2009.42.2.143

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OBJECTIVES
South Korea has experienced unprecedented ups and downs in the sex ratio at birth (SRB), which has been a unique phenomenon in the last two decades. However, little is known about socioeconomic factors that influence the SRB. Employing the diffusion theory by Rogers, this study was undertaken to examine the trends in social variations in the SRB from 1981 to 2004 in Korea. METHODS: The data was taken from Vital Birth Statistics for the period from 1981-2004. We computed the annual male proportion of live births according to the parental education (university, middle/high school, primary) and occupation (non-manual, manual, others). Logistic regression analysis was employed to estimate the odds ratios of male birth according to social position for the equidistant three time periods (1981-1984, 1991-1994, and 2001-2004). RESULTS: An increased SRB was detected among parents with higher social position before the mid 1980s. Since then, however, a greater SRB was found for the less educated and manual jobholders. The inverse social gradient for the SRB was most prominent in early 1990s, but the gap has narrowed since the late 1990s. The mother's socioeconomic position could be a sensitive indicator of the social variations in the sex ratio at birth. CONCLUSIONS: Changes in the relationship of parental social position with the SRB were detected during the 1980-2004 in Korea. This Korean experience may well be explained by diffusion theory, suggesting there have been socioeconomic differences in the adoption and spread of sex-detection technology.

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Citations

Citations to this article as recorded by

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Original Article

Factors Affecting the Diffusion of Health Center Information System.: Jin Yong Lee, Young Gyoung Do, Jung Gyu Lee, Gi Dong Park, Chang Yup Kim, Yong Ik Kim; Korean J Prev Med. 2003;36(4):359-366.

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Abstract PDF: OBJECTIVES
This study was conducted to review the diffusion process and factors affecting the adoption of the Health Center Information System (HIS). METHODS: Data were collected from POSDATA (private company), MOHW, other Ministries and local governments. To specify the date of adoption, supplementary information was collected from 40 health centers. The following three kinds of factors were analyzed. Internal factors included type, size, and innovativeness of health centers. Community factors were composed of population size, economic status, and level of education. Organizational environmental factors consisted of information score of the municipalities, financial support of the from central government, and the neighborhoodness of innovator health centers. RESULTS: All health centers in the metropolitan cities of Seoul, Gwangju and Jeju adopted the HIS. The laggards were those in the metropolitan cities of Busan (18.8%), Incheon (20.0%) and Daejun (20.0%), and cities with population more than 300, 000 (54.8%) and counties with health center hospitals (47.1%). Financially supported rural health centers adopted the HIS more rapidly than those not supported. The factors identified as being statistically significant (p< 0.05), from a univariate analysis by Kaplan-Meier method, were: (1) internal factors of the type, size and innovativeness of health centers; (2) community factors of population size and economic status; (3) organizational environmental factors of the central government financial support and the neighborhoodness of innovator health centers. A multivariate analysis, using a Cox proportional hazard method, proved the innovativeness of health centers, central government financial support and the neighborhoodness of innovator health centers, were statistically significant (p< 0.05). CONCLUSIONS: The innovativeness of health centers, financial support from central government and the neighborhoodness of innovator health centers, rather than community factors related to regional socioeconomic status, affected the adoption of the HIS in health centers. Further in-depth studies, modifying the MOHW's strategy to propagate the HIS to the laggard health centers, are recommended.; Summary

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