Journal of Preventive Medicine and Public Health

Original Articles

Discrete-time Survival Analysis of Risk Factors for Early Menarche in Korean Schoolgirls: Yong Jin Gil, Jong Hyun Park, Joohon Sung; J Prev Med Public Health. 2023;56(1):59-66. Published online December 29, 2022; DOI: https://doi.org/10.3961/jpmph.22.428

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Abstract Summary PDF: Objectives
The aim of this study was to evaluate the effect of body weight status and sleep duration on the discrete-time hazard of menarche in Korean schoolgirls using multiple-point prospective panel data.
Methods
The study included 914 girls in the 2010 Korean Children and Youth Panel Study who were in the elementary first-grader panel from 2010 until 2016. We used a Gompertz regression model to estimate the effects of weight status based on age-specific and sex-specific body mass index (BMI) percentile and sleep duration on an early schoolchild’s conditional probability of menarche during a given time interval using general health condition and annual household income as covariates.
Results
Gompertz regression of time to menarche data collected from the Korean Children and Youth Panel Study 2010 suggested that being overweight or sleeping less than the recommended duration was related to an increased hazard of menarche compared to being average weight and sleeping 9 hours to 11 hours, by 1.63 times and 1.38 times, respectively, while other covariates were fixed. In contrast, being underweight was associated with a 66% lower discrete-time hazard of menarche.
Conclusions
Weight status based on BMI percentiles and sleep duration in the early school years affect the hazard of menarche.; Summary

Korean summary
초경연령의 조기화는 세계적인 현상이나 유독 우리나라에서는 그 단축속도가 매우 빠르나. 그 위험요인은 비만 이외에 확립되어 있지 못하다. 본 연구는 한국아동청소년패널의 2010-16년도까지 추적관찰된 914 명의 여아 자료를 Gompetz 회귀모형 (다중 분절형 생존분석모형)을 통해 분석하였며, 그 결과 과체중은 1년의 초경연령 단축을 유발할 위험도가 정상체중 여아에 비해 1.63배, 수면시간이 충분하지 못한 여아는 충분한 수면을 취하는 여아에 비해 1년의 초경연령 단축이 발생할 위험도가 1.38배 높은 것으로 나타났다.

Modeling Survival in Patients With Brain Stroke in the Presence of Competing Risks: Solmaz Norouzi, Mohammad Asghari Jafarabadi, Seyed Morteza Shamshirgaran, Farshid Farzipoor, Ramazan Fallah; J Prev Med Public Health. 2021;54(1):55-62. Published online December 7, 2020; DOI: https://doi.org/10.3961/jpmph.20.463

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Abstract PDF: Objectives
After heart disease, brain stroke (BS) is the second most common cause of death worldwide, underscoring the importance of understanding preventable and treatable risk factors for the outcomes of BS. This study aimed to model the survival of patients with BS in the presence of competing risks.
Methods
This longitudinal study was conducted on 332 patients with a definitive diagnosis of BS. Demographic characteristics and risk factors were collected by a validated checklist. Patients’ mortality status was investigated by telephone follow-up to identify deaths that may be have been caused by stroke or other factors (heart disease, diabetes, high cholesterol, etc.). Data were analyzed by the Lunn-McNeil approach at alpha=0.1.
Results
Older age at diagnosis (59-68 years: adjusted hazard ratio [aHR], 2.19; 90% confidence interval [CI], 1.38 to 3.48; 69-75 years: aHR, 5.04; 90% CI, 3.25 to 7.80; ≥76 years: aHR, 5.30; 90% CI, 3.40 to 8.44), having heart disease (aHR, 1.65; 90% CI, 1.23 to 2.23), oral contraceptive pill use (women only) (aHR, 0.44; 90% CI, 0.24 to 0.78) and ischemic stroke (aHR, 0.52; 90% CI, 0.36 to 0.74) were directly related to death from BS. Older age at diagnosis (59-68 years: aHR, 21.42; 90% CI, 3.52 to 130.39; 75-69 years: aHR, 16.48; 90% CI, 2.75 to 98.69; ≥76 years: aHR, 26.03; 90% CI, 4.06 to 166.93) and rural residence (aHR, 2.30; 90% CI, 1.15 to 4.60) were directly related to death from other causes. Significant risk factors were found for both causes of death.
Conclusions
BS-specific and non-BS-specific mortality had different risk factors. These findings could be utilized to prescribe optimal and specific treatment.; Summary

Brief Report

Estimating the Survival of Patients With Lung Cancer: What Is the Best Statistical Model?: Siavosh Abedi, Ghasem Janbabaei, Mahdi Afshari, Mahmood Moosazadeh, Masoumeh Rashidi Alashti, Akbar Hedayatizadeh-Omran, Reza Alizadeh-Navaei, Ehsan Abedini; J Prev Med Public Health. 2019;52(2):140-144. Published online February 18, 2019; DOI: https://doi.org/10.3961/jpmph.17.090

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Abstract PDF

Objectives
Investigating the survival of patients with cancer is vitally necessary for controlling the disease and for assessing treatment methods. This study aimed to compare various statistical models of survival and to determine the survival rate and its related factors among patients suffering from lung cancer.
Methods
In this retrospective cohort, the cumulative survival rate, median survival time, and factors associated with the survival of lung cancer patients were estimated using Cox, Weibull, exponential, and Gompertz regression models. Kaplan-Meier tables and the log-rank test were also used to analyze the survival of patients in different subgroups.
Results
Of 102 patients with lung cancer, 74.5% were male. During the follow-up period, 80.4% died. The incidence rate of death among patients was estimated as 3.9 (95% confidence [CI], 3.1 to 4.8) per 100 person-months. The 5-year survival rate for all patients, males, females, patients with non-small cell lung carcinoma (NSCLC), and patients with small cell lung carcinoma (SCLC) was 17%, 13%, 29%, 21%, and 0%, respectively. The median survival time for all patients, males, females, those with NSCLC, and those with SCLC was 12.7 months, 12.0 months, 16.0 months, 16.0 months, and 6.0 months, respectively. Multivariate analyses indicated that the hazard ratios (95% CIs) for male sex, age, and SCLC were 0.56 (0.33 to 0.93), 1.03 (1.01 to 1.05), and 2.91 (1.71 to 4.95), respectively.
Conclusions
Our results showed that the exponential model was the most precise. This model identified age, sex, and type of cancer as factors that predicted survival in patients with lung cancer.

Summary

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Original Articles

Demographic and Survivorship Disparities in Non–muscle-invasive Bladder Cancer in the United States: Munseok Seo, James R. Langabeer II; J Prev Med Public Health. 2018;51(5):242-247. Published online August 23, 2018; DOI: https://doi.org/10.3961/jpmph.18.092

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Abstract PDF

Objectives
To examine survivorship disparities in demographic factors and risk status for non–muscle-invasive bladder cancer (NMIBC), which accounts for more than 75% of all urinary bladder cancers, but is highly curable with early identification and treatment. Methods: We used the US National Cancer Institute’s Surveillance, Epidemiology, and End Results registries over a 19-year period (1988-2006) to examine survivorship disparities in age, sex, race/ethnicity, and marital status of patients and risk status classified by histologic grade, stage, size of tumor, and number of multiple primary tumors among NMIBC patients (n=29 326). We applied Kaplan-Meier (K-M) and Cox proportional hazard methods for survival analysis. Results: Among all urinary bladder cancer patients, the majority of NMIBCs were in male (74.1%), non-Latino white (86.7%), married (67.8%), and low-risk (37.6%) to intermediate-risk (44.8%) patients. The mean age was 68 years. Survivorship (in median life years) was highest for non-Latino white (5.4 years), married (5.4 years), and low-risk (5.7 years) patients (K-M analysis, p<0.001). We found significantly lower survivorship for elderly, male (female hazard ratio [HR], 0.96), Latino (HR, 1.20), and unmarried (married HR, 0.93) patients. Conclusions: Survivorship disparities were ubiquitous across age, sex, race/ethnicity, and marital status groups. Non-white, unmarried, and elderly patients had significantly shorter survivorship. The implications of these findings include the need for a heightened focus on health policy and more organized efforts to improve access to care in order to increase the chances of survival for all patients.

Summary

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Congjie Xu, Jiaquan Zhou, Xiaoting Zhang, Xinli Kang, Shuan Liu, Mi Song, Cheng Chang, Youtu Lin, Yang Wang
Cellular & Molecular Biology Letters.2024;[Epub] CrossRef
Disparities in the prevalence and management of high-risk non-muscle invasive bladder cancer
Angela Estevez, Sumedh Kaul, Aaron Fleishman, Ruslan Korets, Peter Chang, Andrew Wagner, Joaquim Bellmunt, Aria F. Olumi, Heidi Rayala, Boris Gershman
Urologic Oncology: Seminars and Original Investigations.2023; 41(5): 255.e15. CrossRef
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Kristin Grabe-Heyne, Christof Henne, Paramananthan Mariappan, Götz Geiges, Johannes Pöhlmann, Richard F. Pollock
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Management, Surveillance Patterns, and Costs Associated With Low-Grade Papillary Stage Ta Non–Muscle-Invasive Bladder Cancer Among Older Adults, 2004-2013
Kelly K. Bree, Yong Shan, Patrick J. Hensley, Niyati Lobo, Chengrui Hu, Douglas S. Tyler, Karim Chamie, Ashish M. Kamat, Stephen B. Williams
JAMA Network Open.2022; 5(3): e223050. CrossRef
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Laura Bukavina, Megan Prunty, Kirtishri Mishra, Helen Sun, David Sheyn, Britt Conroy, Amr Mahran, Gregory MacLennan, Fredrick Schumacher, Lee Ponsky, Sarah Markt
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Shang Huang, Hanzhong Chen, Teng Li, Xiaoyong Pu, Jiumin Liu, Xuecheng Bi
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Kuan-Wei Shih, Wei-Chieh Chen, Ching-Hsin Chang, Ting-En Tai, Jeng-Cheng Wu, Andy C. Huang, Ming-Che Liu
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The impact of the social construct of race on outcomes among bacille Calmette‐Guérin‐treated patients with high‐risk non‐muscle–invasive bladder cancer in an equal‐access setting
Corinne Lawler, Lin Gu, Lauren E. Howard, Brandee Branche, Emily Wiggins, Aditya Srinivasan, Meagan L. Foster, Zachary Klaassen, Amanda M. De Hoedt, Jeffrey R. Gingrich, Dan Theodorescu, Stephen J. Freedland, Stephen B. Williams
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Effect of Intravesical Chemotherapy on the Survival of Patients with Non-Muscle-Invasive Bladder Cancer Undergoing Transurethral Resection: A Retrospective Cohort Study Among Older Adults
Ashis K. Das, Devi K. Mishra, Saji S. Gopalan
The Open Urology & Nephrology Journal.2021; 14(1): 20. CrossRef
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Liangjun Tao, Xinyuan Pan, Lixiang Zhang, Jiawei Wang, Zican Zhang, Li Zhang, Chaozhao Liang
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Regimen-related Mortality Risk in Patients Undergoing Peritoneal Dialysis Using Hypertonic Glucose Solution: A Retrospective Cohort Study: Chinakorn Sujimongkol, Cholatip Pongskul, Supannee Promthet; J Prev Med Public Health. 2018;51(4):205-212. Published online June 19, 2018; DOI: https://doi.org/10.3961/jpmph.18.066

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Abstract PDF

Objectives
The main purpose of this study was to quantify the risk of mortality linked to various regimens of hypertonic peritoneal dialysis (PD) solution.
Methods
A retrospective cohort study of patients using home-based PD was carried out. The prescribed regimen of glucose-based PD solution for all patients, determined on the basis of their individual conditions, was extracted from their medical chart records. The primary outcome was death. The treatment regimens were categorized into 3 groups according to the type of PD solution used: original PD (1.5% glucose), shuffle PD (1.5 and 2.5% glucose), and serialized PD (2.5 and 4.5% glucose). Multivariate analysis (using the Weibull model) was applied to comprehensively examine survival probabilities related to the explanatory variable, while adjusting for other potential confounders.
Results
Of 300 consecutive patients, 38% died over a median follow-up time of 30 months (interquartile range: 15-46 months). Multivariate analysis showed that a treatment regimen with continued higher-strength PD solution (serialized PD) resulted in a lower survival rate than when the conventional strength solution was used (adjusted hazard ratio, 2.6; 95% confidence interval, 1.6 to 4.6, p<0.01). Five interrelated risk factors (age, length of time on PD, hemoglobin levels, albumin levels, and oliguria) were significant predictors contributing to the outcome.
Conclusions
Frequent exposure to high levels of glucose PD solution significantly contributed to a 2-fold higher rate of death, especially when hypertonic glucose was prescribed continuously.

Summary

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Associations of Glucometabolic Indices with Aortic Stiffness in Patients Undergoing Peritoneal Dialysis with and without Diabetes Mellitus
Chi-Chong Tang, Jen-Pi Tsai, Yi-Hsin Chen, Szu-Chun Hung, Yu-Li Lin, Bang-Gee Hsu
International Journal of Molecular Sciences.2023; 24(23): 17094. CrossRef

A Survival Analysis of Gastric or Colorectal Cancer Patients Treated With Surgery: Comparison of Capital and a Non-capital City: Nam-Soo Hong, Kyeong Soo Lee, Sin Kam, Gyu Seog Choi, Oh Kyoung Kwon, Dong Hee Ryu, Sang Won Kim; J Prev Med Public Health. 2017;50(5):283-293. Published online July 3, 2017; DOI: https://doi.org/10.3961/jpmph.17.043

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Abstract PDF Supplementary Material

Objectives
The objective of the present study was to compare prognosis of patients with gastric or colorectal cancer according to places where they received surgeries. Methods: The cancer patients underwent surgeries in sampled hospitals located in Daegu were matched 1:1 to the patients who visited sampled hospitals in Seoul using propensity score method. After the occurrences of death were examined, Kaplan-Meier method was used for survival analysis and the log-rank test was performed to compare the survival curves. Results: A total of six out of 291 gastric cancer patients who had surgeries in Daegu died (2.1%) and ten deaths (3.4%) occurred from patients went Seoul hospitals. Out of 84 gastric cancer patients who had chemotherapy after surgeries in Daegu, 13 (15.5%) patients died while 18 (21.4%) deaths occurred among patients underwent surgeries in Seoul. Six deaths (6.9%) out of 87 colorectal cancer patients who had surgeries in Daegu were reported. Five patients (5.7%) died among the patients underwent surgeries in Seoul. Among the colorectal cancer patients with chemotherapy after surgeries, 13 patients (12.4%) who visited hospitals in Daegu and 14 (13.3%) patients who used medical centers in Seoul died. There were no significant differences according to places where patients used medical services. Conclusions: The result of this study is expected to be used as basic data for policy making to resolve centralization problem of cancer patients and to help patients to make rational choices in selection of medical centers.

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Domestic medical travel from non-Seoul regions to Seoul for initial breast cancer treatment: a nationwide cohort study
Jae Ho Jeong, Jinhong Jung, Hee Jeong Kim, Jong Won Lee, Beom-Seok Ko, Byung Ho Son, Kyung Hae Jung, Il Yong Chung
Annals of Surgical Treatment and Research.2023; 104(2): 71. CrossRef
MCR1 and KPC2 Co-producing Klebsiella pneumoniae Bacteremia: First Case in Korea
Ji Young Park, Sang Taek Heo, Ki Tae Kwon, Do Young Song, Kwang Jun Lee, Ji Ae Choi
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The Effect of Residential Area and Hospital Bed Size on the Use of Hospital in Other Regions for Cancer Inpatients
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Effects of Antiretroviral Therapy on the Survival of Human Immunodeficiency Virus-positive Adult Patients in Andhra Pradesh, India: A Retrospective Cohort Study, 2007-2013: Ram Bajpai, Himanshu Chaturvedi, Lakshmanan Jayaseelan, Pauline Harvey, Nicole Seguy, Laxmikant Chavan, Pinnamaneni Raj, Arvind Pandey; J Prev Med Public Health. 2016;49(6):394-405. Published online October 28, 2016; DOI: https://doi.org/10.3961/jpmph.16.073

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Abstract PDF

Objectives
The survival outcomes of antiretroviral treatment (ART) programs have not been systematically evaluated at the state level in India. This retrospective study assessed the survival rates and factors associated with survival among adult human immunodeficiency virus (HIV)-infected patients in Andhra Pradesh, India.
Methods
The present study used data from 139 679 HIV patients aged ≥15 years on ART who were registered from 2007 to 2011 and were followed up through December 2013. The primary end point was death of the patient. Mortality densities (per 1000 person-years) were calculated. Kaplan-Meier and Cox-regression models were used to estimate survival and explore the factors associated with survival.
Results
The overall median follow-up time was 16.0 months (2.0 months for the deceased and 14.0 months for those lost to follow-up). Approximately 13.2% of those newly initiated on ART died during follow-up. Of those deaths, 56% occurred in the first three months. The crude mortality rate was 80.9 per 1000 person-years at risk. The CD4 count (adjusted hazard ratio [aHR],4.88; 95% confidence interval [CI], 4.36 to 5.46 for <100 cells/mm³ vs. >350 cells/mm³), functional status (aHR, 3.05; 95% CI, 2.82 to 3.30 for bedridden vs. normal), and body weight (aHR, 3.69; 95% CI, 3.42 to 3.97 for <45 kg vs. >60 kg) were strongly associated with the survival of HIV patients.
Conclusions
The study findings revealed that high mortality was observed within the first three months of ART initiation. Patients with poor baseline clinical characteristics had a higher risk of mortality. Expanded testing and counseling should be encouraged, with the goal of ensuring early enrollment into the program followed by the initiation of ART in HIV-infected patients.

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Animut Alebel, David Sibbritt, Pammla Petrucka, Daniel Demant
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Ramón E. R. González, Pedro Hugo de Figueirêdo, Sergio Galvao Coutinho
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Haddis Birhanu, Atsede Alle, Molla Yigzaw Birhanu
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Rimke Bijker, Sasisopin Kiertiburanakul, Nagalingeswaran Kumarasamy, Sanjay Pujari, Ly P Sun, Oon T Ng, Man P Lee, Jun Y Choi, Kinh V Nguyen, Yu J Chan, Tuti P Merati, Do D Cuong, Jeremy Ross, Awachana Jiamsakul
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Survival rate and mortality risk factors among TB–HIV co-infected patients at an HIV-specialist hospital in Myanmar: A 12-year retrospective follow-up study
Zaw Zaw Aung, Yu Mon Saw, Thu Nandar Saw, Nwe Oo, Hnin Nwe Ni Aye, Sithu Aung, Htun Nyunt Oo, Su Myat Cho, Moe Khaing, Tetsuyoshi Kariya, Eiko Yamamoto, Nobuyuki Hamajima
International Journal of Infectious Diseases.2019; 80: 10. CrossRef

Comparative Study

Comparison of Cancer Survival by Age Group for 1997 and for 2002: Application of Period Analysis using the National Cancer Incidence Database.: Seon Hee Yim, Kyu Won Jung, Young Joo Won, Hyun Joo Kong, Hai Rim Shin; J Prev Med Public Health. 2008;41(1):17-22.; DOI: https://doi.org/10.3961/jpmph.2008.41.1.17

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Abstract PDF

OBJECTIVES
Period analysis estimates up-to-date survival rates of cancer patients. In this approach, analysis is restricted to recent time period by left-truncating all observations at the beginning of the period and rightcensoring at its end. Here, we applied period analysis to examine changes in 5-year relative survival (RS) by age group for 1997 and for 2002. METHODS: Using the National Cancer Incidence Database, 5-year RS was estimated for 1997 and 2002 in four age groups (15-54, 55-64, 65-74, and 75 years old and over) using period analysis. After excluding death certificate-only cases, patients with an unknown date of diagnosis or follow-up length, a total of 813,889 patients diagnosed with a first primary invasive cancer during 1992-2002 were included for analysis. Followup for vital status was included until 31 December 2002. RESULTS: Five-year RS increased from 41.7% for 1997 to 46.7% for 2002. Increases in survival occurred in all age groups except in the 75 and over group. CONCLSIONS: The age gradient in cancer prognosis seems to have widened between 1997 and 2002, a finding that requires further study of prognostic factors, including stage at diagnosis. Period analysis accurately estimates survival rates, especially for cancers with better prognosis.

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Advanced Detection of Recent Changing Trends in Gastric Cancer Survival: Up-to-date Comparison by Period Analysis
H. S. Kim, H. Lee, H. C. Jeung, S. H. Noh, H. C. Chung, J. K. Roh, C. M. Nam, S. Y. Rha
Japanese Journal of Clinical Oncology.2011; 41(12): 1344. CrossRef
Usefulness of Comorbidity Indices in Operative Gastric Cancer Cases
Se-Min Hwang, Seok-Jun Yoon, Hyeong-Sik Ahn, Hyong-Gin An, Sang-Hoo Kim, Min-Ho Kyeong, Eun-Kyoung Lee
Journal of Preventive Medicine and Public Health.2009; 42(1): 49. CrossRef

English Abstract

Survival Rates of the 5 Major Cancers in Jeju Island Residents, 2000-2001.: Yeong Ja Yang, Jong Myon Bae; J Prev Med Public Health. 2007;40(3):213-217.; DOI: https://doi.org/10.3961/jpmph.2007.40.3.213

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Abstract PDF

OBJECTIVES
This study aimed to calculate the survival rates of cancer patients in Jeju Island residents from 2000 to 2001, based on their major primary sites of occurrence. METHODS: Data were extracted from the database of the Jejudo Cancer Registry (JCR). The eligible population comprised 2,382 cancer cases, whose cancers were diagnosed from 1 January 2000 through 31 December 2001. Of the eligible population, 1,438 patients with 5 major cancers defined by the level of incidence rates were selected as the study participants. The period of survival for each case was calculated from the date of first diagnosis to the date of death, or the end of follow-up, i.e., 31 December 2003. The observed survival rates (OSR) and relative survival rates (RSR) were calculated according to sex, age-group, and primary sites of occurrence. RESULTS: The 3-year OSR and RSR in 5 major cancers were higher in women than in men except 75 year-old over group. The 3-year RSR of stomach, colorectum, liver, and lung in both sexes were 61.0%, 62.6%, 24.7%, and 22.8%, respectively. The respective rates in JCR showed some statistically significant differences from those in the Korea Central Cancer Registry (KCCR). CONCLUSIONS: These results would suggest some clues about prognostic factors of major cancers in Korean, and could apply to planning and evaluating of cancer control strategies in Jeju Island.

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The study for the Epidemiologic Characteristics of Cancer Patients in Jeju Special Self-governing Province
Weon-Young Chang
Journal of the Korea Academia-Industrial cooperation Society.2015; 16(2): 1292. CrossRef
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Ki Joo Kang, Jun Haeng Lee
Journal of the Korean Medical Association.2010; 53(4): 283. CrossRef
Explaining Cancer Incidence in the Jejudo Population
Jong-Myon Bae
Journal of Preventive Medicine and Public Health.2009; 42(1): 67. CrossRef

Original Articles

Association of Hospital Procedure Volume with Post-Transplant Survival for Allogeneic Bone Marrow Transplantation.: Choon Seon Park, Hee Kyung Moon, Hye Young Kang, Yoo Hong Min, Woo Hyun Cho; J Prev Med Public Health. 2004;37(1):26-36.

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Abstract PDF: OBJECTIVE
To examine the association between hospital procedure volume and treatment outcomes following allogeneic bone marrow transplantation (allo-BMT). METHODS: Out of 1, 050 patients who received allo-BMTs between 1998 and 2000 in 21 Korean hospitals, 752 with first allo-BMT and complete data were included in this study. Study subjects were divided into the following three groups according to cumulative hospital experience of all-BMTs during the study period: low (< 30 cases), medium (30-49) and high (> or =50 cases) volume. Patient outcome was defined as early survival at day 100 and one-year survival. Multiple logistic regression analyses were performed to examine the association between hospital experience and survival at day 100 and one year. RESULTS: When the low volume group was defined as the reference group, the adjusted relative risks (RR) of survival at day 100 for the high volume group were 2.46 (95% CI, 1.13-5.36) for all patients, 2.61 (1.04-6.57) for those with leukemia, and 2.20 (0.47-10.32) for those with aplastic anemia. For one-year survival, adjusted RR for the high volume group were 2.52 (1.40-4.51) for all patients, 1.99 (1.01-3.93) for leukemia, and 6.50 (1.57-26.80) for aplastic anemia. None of the RR for the medium volume group was statistically significant. Patient factors showing significant relationship with survival were donor-recipient relation, human leukocyte antigen matching status, time from diagnosis to transplant, and disease stage. CONCLUSION: The study results suggest that the cumulative experience of hospitals in providing allo-BMT is positively associated with patient survival.; Summary

The Relationship between the Cognitive Impairment and Mortality in the Rural Elderly.: Byung Hwan Sun, Kyeong Soo Park, Baeg Ju Na, Yo Seop Park, Hae Sung Nam, Jun Ho Shin, Seok Joon Sohn, Jung Ae Rhee; Korean J Prev Med. 1997;30(3):630-642.

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Abstract PDF: The purpose of this study was to examine the mortality risk associated with cognitive impairment among the rural elderly. The subjective of study was 558 of 'A Study on the Depression and Cognitive Impairment in the Rural Elderly' of Jung Ae Rhee and Hyang Gyun Jung's study(1993). Cognitive impairment and other social and health factors were assessed in 558 elderly rural community residents. For this study, a Korean version of the Mini-Mental State Examination(MMSEK) was used as a global indicator of cognitive functioning. And mortality risk factors for each cognitive impairment subgroup were identified by univariate and multivariate Cox regression analysis. At baseline 22.6% of the sample were mildly impaired and 14.2% were severely impaired. As the age increased, the cognitive function was more impaired. Sexual difference was existed in the cognitive function level. Also the variables such as smoking habits, physical disorders had the significant relationship with cognitive function impairment. Across a 3-year observation period the mortality rate was 8.5% for the cognitively unimpaired, 11.1% for the mildly impaired, and 16.5% for the severly impaired respondents. And the survival probability was .92 for the cognitively unimpaired, .90 for the mildly impaired, and .86 for the severly impaired respondents. Compared to survival curve for the cognitively unimpaired group, each survival curve for the mildly and the severely impaired group was not significantly different. When adjustments models were not made for the effects of other health and social covariates, each hazard ratio of death of mildly and severely impaired persons was not significantly different as compared with the cognitively unimpaired. But, as MMSEK score increased, significantly hazard ratio of death decreased. Employing Cox univariate proportional hazards model, statistically other significant variables were age, monthly income, smoking habits, physical disorders. Also when adjustments were made for the effects of other health and social covariates, there was no difference in hazard ratio of death between those with severe or mild impairment and unimpaired persons. And as MMSEK score increased, significantly hazard ratio of death did not decrease. Employing Cox multivariate proportional hazards model, statistically other significant variables were age, monthly income, physical disorders. Employing Cox multivariate proportional hazards model by sex, at men and women statistically significant variable was only age. For both men and women, also cognitive impairment was not a significant risk factor. Other investigators have found that cognitive impairment is a significant predictor of mortality. But we didn't find that it is a significant predictor of mortality. Even though the conclusions of our study were not related to cognitive impairment and mortality, early detection of impaired cognition and attention to associated health problems could improve the quality of life of these older adults and perhaps extend their survival.; Summary

Survival Analysis of Hospitalized Mesothelioma Patients.: Chun Bae Kim, Sang Hyuk Jung, Kyung Jong Lee, Jong Doo Kang; Korean J Prev Med. 1990;23(1):77-86.

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Abstract PDF: Between 1977 and 1987, 20 patients with mesothelioma were treated at Severance Hospital. Data was gathered from medical charts at the time of hospitalization of mesothelioma patients and from a follow-up questionnaire by mail or telephone. The results acquired were as follows: 1. Among the 20 patients, 11 men and 9 women with mesothelioma were identified. The mean age at hospitalization was 47 years and 11 mesothelioma patients were known or presumed to be dead during the different observation periods. 2. Only one mesothelioma patient had a definite history of occupational asbestos exposure. 3. The sites of orgin of mesothelioma were the pleura(13), peritoneum(2), pericardium(2), mediastinum(2), and pelvis(1). Common symptoms included dyspnea, chest pain, abdominal distension, etc. 4. Pathologically, mesotheliomas were divided into 14 malignant types and 6 benign types ; and histologically, 8 fibrous mesotheliomas and 3 epithelial mesotheliomas were shown. 5. There was a statistically significant difference in survival rate according to pathologic type and smoking status. In the groups with malignant mesothelioma, 50% survival time from first symptoms was 18 months and that from diagnosis was 11 months. Also, 75% survival time from diagnosis was 6 months in the smoking groups and 19 months in the non-smoking groups.; Summary

English Abstracts

Effects of the Late Marriage of Korean Women on the First-birth Interval.: Woojin Chung, Kyoungae Lee, Sunmi Lee; J Prev Med Public Health. 2006;39(3):213-220.

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Abstract PDF: OBJECTIVES
The purpose of this study was to examine the effect of women's late age of marriage on the interval between marriage and their first birth. METHODS: Data from Year 2000 Korea National Fertility Survey was collected through direct interview questionings, and the data was analyzed based on randomly selected sampling. In particular, the married women (N=5,648) were analyzed for the factors that determined the first-birth interval by performing Cox's proportional hazard model survival analysis. RESULTS: Unlike previous findings, the woman whose age of marriage was 30 or more was more likely to delay the birth of her first baby than were the other women who married earlier. Further, a woman's age at marriage, a woman's residence before marriage, her husband's religion, her husband's level of education and the difference in age between the woman and her husband significantly influenced the first-birth interval. In contrast, for a married woman, her age, level of education, current residence and religion were not significant predictors of her first birth interval. CONCLUSIONS: Our study showed that women who married at the age of 30 years or more tend to postpone their first birth in Korea. When facing the increasing number of women who marry at a late age, the Korean government should implement population and social policies to encourage married women have their first child as early as possible.; Summary

Factors Affecting Breastfeeding Rate and Duration.: Won Ju Hwang, Woo Jin Chung, Dae Ryong Kang, Moon Hee Suh; J Prev Med Public Health. 2006;39(1):74-80.

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Abstract PDF: OBJECTIVES
The purpose of this study is to examine the factors affecting the rate and duration of breastfeeding. METHODS: We analyzed the data from the year 2000 Korea National Fertility Survey that was collected through direct interviews. In particular, the mothers who delivered their last child and the child was under 1 year of age from January 1998 to June 2000 (N=1,066) were analyzed via a logistic model to assess the factors affecting the breastfeeding rate. Among the study subjects, those who had initiated breastfeeding (N=740) were analyzed through Cox's proportional hazard model to evaluate the factors affecting the duration of breastfeeding. RESULTS: The multivariate logistic model showed that the delivery type and the baby's birth-weight have a statistically significant influence on the breastfeeding rate. Women who delivered their babies through Cesarean section were less likely than others to breastfeed. In contrast, the women whose babies weighed 2.5Kg or more were more likely than others to breastfeed. The results obtained from the survival analysis are as follows: the higher the mother's education level, the shorter is the breastfeeding duration. The mother's work status played a significant role in the early termination of breastfeeding. Women aged 35 or older showed a longer breastfeeding duration than the younger age groups, whereas the maternal age was not a significant factor in affecting whether or not a mother would breastfeed. CONCLUSIONS: Reducing the cases of operative delivery (Cesarean section) and low weight births, enlightening young and highly educated women on breastfeeding and improving the environment for breastfeeding on the job are important strategies to encourage women to breastfeed.; Summary

Medical Expenses by Site of Cancer and Survival Time among Cancer Patients in the Last One Year of Life.: Jee Jeon Yi, Won Kon Yoo, So Yoon Kim, Kwang Ki Kim, Sang Wook Yi; J Prev Med Public Health. 2005;38(1):9-15.

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Abstract PDF: OBJECTIVES
To analyze medical expenses by cancer site and survival time among cancer patients in their last year of life. METHOD: The study subjects were 45, 394 people that had died of cancers in 2002, were registered by the Korea Central Cancer Registry and received National Health Insurance benefit in the last year (360 days) of life. Personal identification data, general characteristics, dates of death and cancer incidence, and site of cancer were collected from the National Statistical Office and the Korea Central Cancer Registry, and merged with the data of the individual medical expenses of the Health Insurance Review Agency. RESULTS: Average monthly cost curves were U-shaped with high costs near the time of diagnosis and death, and lower costs in between. Medical expenses in the last year of life were around 30.3, 16.7, 13.0, and 12.1 million won among leukemia, lymphoma, ovarian cancer, and breast cancer patients, respectively. Digestive organ cancers including stomach, esophagus, liver, pancreas, and colorectal cancers had relatively low medical expenses. Medical expenses in the last year of life were inverse U-shaped with high expenses near one year of survival. Average monthly cost in the 12 months before death among the patients who had survived 10~15 years were more than two-fold greater than the cost before diagnosis among those who had survived for less than one year. CONCLUSIONS: Leukemia was the most expensive cancer. It is possible that once diagnosed as cancer, medical expenses do not return to the level before diagnosis. Further research will be needed to understand the magnitude and change of the medical expenses among cancer patients with long term follow up data.; Summary

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