Journal of Preventive Medicine and Public Health

Original Articles

Factors Associated With Post-term Birth and Its Relationship to Neonatal Mortality in Japan: An Analysis of National Data From 2017 to 2022: Tasuku Okui, Naoki Nakashima; J Prev Med Public Health. 2024;57(6):564-571. Published online September 24, 2024; DOI: https://doi.org/10.3961/jpmph.24.355

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Abstract Summary PDF Supplementary Material: Objectives
Prior research has not yet examined the relationship between post-term birth and neonatal mortality in Japan, along with factors associated with post-term birth. We investigated these associations utilizing nationwide birth data from Japan.
Methods
Birth and mortality data were obtained from the Vital Statistics of Japan for the years 2017 to 2022. The post-term birth rate was calculated by birth characteristics, and the neonatal mortality rates for post-term and term births were computed. Additionally, log-binomial regression analysis was employed to explore the associations between post-term birth and neonatal mortality, as well as between various characteristics and post-term birth. The characteristics considered included infant sex, maternal age group, parity, maternal nationality, maternal marital status, and household occupation.
Results
This study analyzed data from 4 698 905 singleton infants born at 37 weeks of gestational age or later. Regression analysis revealed that post-term birth was positively associated with neonatal mortality. The adjusted risk ratio for neonatal mortality in post-term compared to term births was 8.07 (95% confidence interval, 5.06 to 12.86). Factors positively associated with post-term birth included female infant sex, older maternal age, primiparity, non-Japanese maternal nationality, unmarried status, and various household occupations, including farmer, full-time worker at a smaller company, other type of worker, and unemployed. Younger maternal age was inversely associated with post-term birth.
Conclusions
In Japan, post-term birth represents a risk factor for neonatal mortality. Additionally, socio-demographic characteristics, such as maternal marital status, nationality, and parity were found to be predictors of post-term birth.; Summary

Key Message
This study investigated the relationship between post-term birth and neonatal mortality in Japan, along with factors associated with post-term birth. Regression analysis revealed that post-term birth was significantly and positively associated with neonatal mortality. Additionally, socio-demographic characteristics, such as older maternal age, primiparity, non-Japanese maternal nationality, and unmarried status were found to be predictors of post-term birth.

Analysis of the Incidence of Macrosomia in Japan by Parental Nationalities at 5-year Intervals From 1995 to 2020: Tasuku Okui; J Prev Med Public Health. 2023;56(4):348-356. Published online July 3, 2023; DOI: https://doi.org/10.3961/jpmph.23.133

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Objectives
We investigated trends in the incidence rate of macrosomia and its association with parental nationalities using Vital Statistics data in Japan.
Methods
We used singleton birth data every 5 years from 1995 to 2020. The incidence rate of macrosomia was calculated according to specific attributes (maternal age, infant’s sex, parental nationalities, parity, and household occupation) over time (years). In addition, a log-binomial model was used to investigate the relationship between the incidence of macrosomia and the attributes. This study compared Korea, China, the Philippines, Brazil, and other countries with Japan in terms of parental nationalities. “Other countries” indicates countries except for Japan, Korea, China, the Philippines, and Brazil.
Results
The study included 6 180 787 births. The rate of macrosomia in Japan decreased from 1.43% in 1995 to 0.88% in 2020, and the decrease was observed across all parental nationalities. The rates for Japanese parents were the lowest values among parental nationalities during the timespan investigated. Multivariate regression analysis showed that mothers from Korea, China, the Philippines, Brazil, and other countries had a significantly higher risk of macrosomia than those from Japan (risk ratio, 1.91, 2.82, 1.59, 1.74, and 1.64, respectively). Furthermore, fathers from China, the Philippines, Brazil, and other countries had a significantly higher risk of macrosomia than those from Japan (risk ratio, 1.66, 1.38, 1.88, and 3.02, respectively).
Conclusions
The rate of macrosomia decreased from 1995 to 2020 in Japan for parents of all nationalities, and the risk of macrosomia incidence was associated with parental nationality.

Summary

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Comparisons of the Rates of Large-for-Gestational-Age Newborns between Women with Diet-Controlled Gestational Diabetes Mellitus and Those with Non-Gestational Diabetes Mellitus
Sirida Pittyanont, Narongwat Suriya, Sirinart Sirilert, Theera Tongsong
Clinics and Practice.2024; 14(2): 536. CrossRef

Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data: Tasuku Okui; J Prev Med Public Health. 2021;54(5):352-359. Published online August 14, 2021; DOI: https://doi.org/10.3961/jpmph.21.215

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Abstract PDF Supplementary Material

Objectives
The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality.
Methods
Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis.
Results
The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile.
Conclusions
Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.

Summary

Citations

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Worldwide burden and trends of diabetes among people aged 70 years and older, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019
Shimin Jiang, Tianyu Yu, Dingxin Di, Ying Wang, Wenge Li
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Kyoung-Hee Cho, Juyeong Kim, Young Choi, Tae-Hyun Kim
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Level of Agreement and Factors Associated With Discrepancies Between Nationwide Medical History Questionnaires and Hospital Claims Data: Yeon-Yong Kim, Jong Heon Park, Hee-Jin Kang, Eun Joo Lee, Seongjun Ha, Soon-Ae Shin; J Prev Med Public Health. 2017;50(5):294-302. Published online July 20, 2017; DOI: https://doi.org/10.3961/jpmph.17.024

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Abstract PDF

Objectives
The objectives of this study were to investigate the agreement between medical history questionnaire data and claims data and to identify the factors that were associated with discrepancies between these data types. Methods: Data from self-reported questionnaires that assessed an individual’s history of hypertension, diabetes mellitus, dyslipidemia, stroke, heart disease, and pulmonary tuberculosis were collected from a general health screening database for 2014. Data for these diseases were collected from a healthcare utilization claims database between 2009 and 2014. Overall agreement, sensitivity, specificity, and kappa values were calculated. Multiple logistic regression analysis was performed to identify factors associated with discrepancies and was adjusted for age, gender, insurance type, insurance contribution, residential area, and comorbidities. Results: Agreement was highest between questionnaire data and claims data based on primary codes up to 1 year before the completion of self-reported questionnaires and was lowest for claims data based on primary and secondary codes up to 5 years before the completion of self-reported questionnaires. When comparing data based on primary codes up to 1 year before the completion of self-reported questionnaires, the overall agreement, sensitivity, specificity, and kappa values ranged from 93.2 to 98.8%, 26.2 to 84.3%, 95.7 to 99.6%, and 0.09 to 0.78, respectively. Agreement was excellent for hypertension and diabetes, fair to good for stroke and heart disease, and poor for pulmonary tuberculosis and dyslipidemia. Women, younger individuals, and employed individuals were most likely to under-report disease. Conclusions: Detailed patient characteristics that had an impact on information bias were identified through the differing levels of agreement.

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English Abstracts

Erratum: Global Activity of Cancer Registries and Cancer Control and Cancer Incidence Statistics in Korea.: Hai Rim Shin; J Prev Med Public Health. 2008;41(5):364-364.; DOI: https://doi.org/10.3961/jpmph.2008.41.5.364

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Abstract PDF: No abstract available.; Summary

Global Activity of Cancer Registries and Cancer Control and Cancer Incidence Statistics in Korea.: Hai Rim Shin; J Prev Med Public Health. 2008;41(2):84-91.; DOI: https://doi.org/10.3961/jpmph.2008.41.2.84

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Abstract PDF

The World Health Organization (WHO) reported that cancer killed 7.6 million people in the world in 2005, and that 40% of all cancer deaths can be prevented. According to the WHO Global Action Plan Against Cancer (GAPAC), monitoring of cancer patients is the essential part of cancer control, and should be conducted through cancer registration. Originally, cancer registries were primarily concerned with the description of cancer patterns, trends of cancer occurrence, and etiology of cancer. In the last 20 years, cancer registries provided not only information on the incidence and characteristics of specific cancers, but also supplied the source of cancer control planning and evaluation and the care of individual cancer patients with survival. Cancer Incidence in Five Continents (CI5) presents incidence data from populations all over the world every five year. Volume IX in the series (data for 1998-2002) has recently (November 2007) been published online at International Agency for Research on Cancer (IARC). Nine data from Korea Central Cancer Registry (National data), Seoul, Busan, Daegu, Gwangju, Incheon, Daejeon, Usan, Jejudo regional cancer registries were included in that volume. In this paper, the editorial process, the characteristics of national data, and quality indices in CI5 IX are being described. In addition, cancer control activities related to cancer registration in some selected countries are also presented.

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Original Articles

Accuracy of the Registered Cause of Death in a County and its Related Factors.: Eun Kyung Chung, Hee Young Shin, Jun Ho Shin, Hae Sung Nam, So Yeon Ryu, Jeong Soo Im, Jung Ae Rhee; Korean J Prev Med. 2002;35(2):153-159.

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Abstract PDF: OBJECTIVES
To evaluate the accuracy of the registered cause of death in a county and its related factors. METHODS: The data used in this study was based on 504 cases, in a county of Chonnam province, registered between January and December 1998. Study subjects consisted of 388 of the 504 cases, and their causes of death were established by an interview survey of the next of kin or neighbor and medical record surveys. We compared the registered cause of death with the confirmed cause of death, determined by surveys and medical records, and evaluated the factors associated with the accuracy of the registered cause of death. RESULTS: 62.6% of the deaths were concordant with 19 Chapters classification of cause of death. external causes of mortality, endocrine, nutritional and metabolic diseases, neoplasms and diseases of the circulatory system showed the good agreement between the registered cause of death and the confirmed cause of death. The factors relating to the accuracy of the registered cause of death were the doctors' diagnosis for the cause of death (adjusted Odds Ratio: 2.67, 95% Confidence Interval: 1.21-5.89) and the grade of the public officials in charge of the death registry (adjusted Odds Ratio: 0.30, 95% CI= 0.12-0.78). CONCLUSIONS: The accuracy of the registered cause of death was not high. It could be improved by using the doctors' diagnosis for death and improving the job specification for public officials who deal with death registration.; Summary

Statistical Methods for Multivariate Missing Data in Health Survey Research.: Dong Kee Kim, Eun Cheol Park, Myong Sei Sohn, Han Joong Kim, Hyung Uk Park, Chae Hyung Ahn, Jong Gun Lim, Ki Jun Song; Korean J Prev Med. 1998;31(4):875-884.

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Abstract PDF: Missing observations are common in medical research and health survey research. Several statistical methods to handle the missing data problem have been proposed. The EM algorithm (Expectation-Maximization algorithm) is one of the ways of efficiently handling the missing data problem based on sufficient statistics. In this paper, we developed statistical models and methods for survey data with multivariate missing observations. Especially, we adopted the Em algorithm to handle the multivariate missing observations. We assume that the multivariate observations follow a multivariate normal distribution, where the mean vector and the covariance matrix are primarily of interest. We applied the proposed statistical method to analyze data from a health survey. The data set we used came from a physician survey on Resource-Based Relative Value Scale(RBRVS). In addition to the EM algorithm, we applied the complete case analysis, which used only completely observed cases, and the available case analysis, which utilizes all available information. The residual and normal probability plots were evaluated to access the assumption of normality. We found that the residual sum of squares from the EM algorithm was smaller than those of the complete-case and the available-case analyses.; Summary

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