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Jong Heon Park 4 Articles
Interactions of Behavioral Changes in Smoking, High-risk Drinking, and Weight Gain in a Population of 7.2 Million in Korea
Yeon-Yong Kim, Hee-Jin Kang, Seongjun Ha, Jong Heon Park
J Prev Med Public Health. 2019;52(4):234-241.   Published online July 3, 2019
DOI: https://doi.org/10.3961/jpmph.18.290
  • 4,699 View
  • 164 Download
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Objectives
To identify simultaneous behavioral changes in alcohol consumption, smoking, and weight using a fixed-effect model and to characterize their associations with disease status.
Methods
This study included 7 000 529 individuals who participated in the national biennial health-screening program every 2 years from 2009 to 2016 and were aged 40 or more. We reconstructed the data into an individual-level panel dataset with 4 waves. We used a fixed-effect model for smoking, heavy alcohol drinking, and overweight. The independent variables were sex, age, lifestyle factors, insurance contribution, employment status, and disease status.
Results
Becoming a high-risk drinker and losing weight were associated with initiation or resumption of smoking. Initiation or resumption of smoking and weight gain were associated with non-high-risk drinkers becoming high-risk drinkers. Smoking cessation and becoming a high-risk drinker were associated with normal-weight participants becoming overweight. Participants with newly acquired diabetes mellitus, ischemic heart disease, stroke, and cancer tended to stop smoking, discontinue high-risk drinking, and return to a normal weight.
Conclusions
These results obtained using a large-scale population-based database documented interactions among lifestyle factors over time.
Summary
Korean summary
이 분석은 흡연, 음주, 체중의 동시적 변화에 대해 패널분석방법론인 고정효과 모형을 이용하여 분석하였으며, 2009년부터 2016년까지 2년 주기로 4차례 모두 건강검진을 수검받은 720만 명을 대상으로 하였다. 흡연, 음주, 체중의 동시적 변화에 대한 방향성을 탐색하여 생활습관 관련 행태가 독자적이 아닌 유기적으로 변화하는 양상을 확인하였다, 또한 당뇨병, 뇌졸중, 암이 신규로 진단되었을 때 행태 변화가 나타나는 것을 확인하였다.

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  • Association between Body Mass Index and Risk of Gastric Cancer by Anatomic and Histologic Subtypes in Over 500,000 East and Southeast Asian Cohort Participants
    Jieun Jang, Sangjun Lee, Kwang-Pil Ko, Sarah K. Abe, Md. Shafiur Rahman, Eiko Saito, Md. Rashedul Islam, Norie Sawada, Xiao-Ou Shu, Woon-Puay Koh, Atsuko Sadakane, Ichiro Tsuji, Jeongseon Kim, Isao Oze, Chisato Nagata, Shoichiro Tsugane, Hui Cai, Jian-Min
    Cancer Epidemiology, Biomarkers & Prevention.2022; 31(9): 1727.     CrossRef
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
  • 6,818 View
  • 177 Download
  • 13 Crossref
AbstractAbstract 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.
Summary

Citations

Citations to this article as recorded by  
  • The agreement between diagnoses as stated by patients and those contained in routine health insurance data—results of a data linkage study
    Felicitas Vogelgesang, Roma Thamm, Timm Frerk, Thomas G. Grobe, Joachim Saam, Catharina Schumacher, Julia Thom
    Deutsches Ärzteblatt international.2024;[Epub]     CrossRef
  • Immeasurable Time Bias in Self-controlled Designs: Case-crossover, Case-time-control, and Case-case-time-control Analyses
    Han Eol Jeong, Hyesung Lee, In-Sun Oh, Kristian B. Filion, Ju-Young Shin
    Journal of Epidemiology.2023; 33(2): 82.     CrossRef
  • Feasibility of continuous distal body temperature for passive, early pregnancy detection
    Azure Grant, Benjamin Smarr, Dukyong Yoon
    PLOS Digital Health.2022; 1(5): e0000034.     CrossRef
  • Comparing self-reports to national register data in the detection of disabling mental and musculoskeletal disorders among ageing women
    Jeremi Heikkinen, Risto J. Honkanen, Lana J. Williams, Shae Quirk, Heikki Kröger, Heli Koivumaa-Honkanen
    Maturitas.2022; 164: 46.     CrossRef
  • Analytical Approaches to Reduce Selection Bias in As-Treated Analyses with Missing In-Hospital Drug Information
    Yeon-Hee Baek, Yunha Noh, In-Sun Oh, Han Eol Jeong, Kristian B. Filion, Hyesung Lee, Ju-Young Shin
    Drug Safety.2022; 45(10): 1057.     CrossRef
  • Trajectory and determinants of agreement between parental and physicians' reports of childhood atopic dermatitis
    Zhuoxin Peng, Stefanie Braig, Deborah Kurz, Johannes M. Weiss, Stephan Weidinger, Hermann Brenner, Dietrich Rothenbacher, Jon Genuneit
    Pediatric Allergy and Immunology.2022;[Epub]     CrossRef
  • New methodological approaches were able to effectively reduce immeasurable time bias in case-only designs
    Han Eol Jeong, In-Sun Oh, Hyesung Lee, Kristian B. Filion, Ju-Young Shin
    Journal of Clinical Epidemiology.2021; 131: 1.     CrossRef
  • Association between domperidone use and adverse cardiovascular events: A nested case‐control and case‐time‐control study
    Sun Mi Shin, Han Eol Jeong, Hyesung Lee, Ju‐Young Shin
    Pharmacoepidemiology and Drug Safety.2020; 29(12): 1636.     CrossRef
  • Feasibility of continuous fever monitoring using wearable devices
    Benjamin L. Smarr, Kirstin Aschbacher, Sarah M. Fisher, Anoushka Chowdhary, Stephan Dilchert, Karena Puldon, Adam Rao, Frederick M. Hecht, Ashley E. Mason
    Scientific Reports.2020;[Epub]     CrossRef
  • Clinical outcomes of COVID-19 following the use of angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers among patients with hypertension in Korea: a nationwide study
    Ju Hwan Kim, Yeon-Hee Baek, Hyesung Lee, Young June Choe, Hyun Joon Shin, Ju-Young Shin
    Epidemiology and Health.2020; 43: e2021004.     CrossRef
  • The agreement between chronic diseases reported by patients and derived from administrative data in patients undergoing joint arthroplasty
    Bélène Podmore, Andrew Hutchings, Sujith Konan, Jan van der Meulen
    BMC Medical Research Methodology.2019;[Epub]     CrossRef
  • Metformin combined with dipeptidyl peptidase-4 inhibitors or metformin combined with sulfonylureas in patients with type 2 diabetes: A real world analysis of the South Korean national cohort
    Yeon Young Cho, Sung-Il Cho
    Metabolism.2018; 85: 14.     CrossRef
  • Stroke at baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): a cross-sectional analysis
    Fernanda Gabriela de Abreu, Alessandra Carvalho Goulart, Marina Gabriela Birck, Isabela Martins Benseñor
    Sao Paulo Medical Journal.2018; 136(5): 398.     CrossRef
Evaluation of Geographic Indices Describing Health Care Utilization
Agnus M. Kim, Jong Heon Park, Sungchan Kang, Yoon Kim
J Prev Med Public Health. 2017;50(1):29-37.   Published online December 19, 2016
DOI: https://doi.org/10.3961/jpmph.16.099
  • 8,813 View
  • 191 Download
  • 6 Crossref
AbstractAbstract PDF
Objectives
The accurate measurement of geographic patterns of health care utilization is a prerequisite for the study of geographic variations in health care utilization. While several measures have been developed to measure how accurately geographic units reflect the health care utilization patterns of residents, they have been only applied to hospitalization and need further evaluation. This study aimed to evaluate geographic indices describing health care utilization.
Methods
We measured the utilization rate and four health care utilization indices (localization index, outflow index, inflow index, and net patient flow) for eight major procedures (coronary artery bypass graft surgery, percutaneous transluminal coronary angioplasty, surgery after hip fracture, knee replacement surgery, caesarean sections, hysterectomy, computed tomography scans, and magnetic resonance imaging scans) according to three levels of geographic units in Korea. Data were obtained from the National Health Insurance database in Korea. We evaluated the associations among the health care utilization indices and the utilization rates.
Results
In higher-level geographic units, the localization index tended to be high, while the inflow index and outflow index were lower. The indices showed different patterns depending on the procedure. A strong negative correlation between the localization index and the outflow index was observed for all procedures. Net patient flow showed a moderate positive correlation with the localization index and the inflow index.
Conclusions
Health care utilization indices can be used as a proxy to describe the utilization pattern of a procedure in a geographic unit.
Summary

Citations

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  • Development and Evaluation of Rehabilitation Service Areas for the United States
    Timothy A. Reistetter, Julianna M. Dean, Allen M. Haas, John D. Prochaska, Daniel C. Jupiter, Karl Eschbach, Yong-Fang Kuo
    BMC Health Services Research.2023;[Epub]     CrossRef
  • Factors Associated with End-Of-Life Health Care Use and Spending in Korea in Comparison with the General Population
    Agnus M. Kim, Yoon Kim
    Journal of Aging & Social Policy.2023; : 1.     CrossRef
  • Presence of Thrombectomy-capable Stroke Centers Within Hospital Service Areas Explains Regional Variation in the Case Fatality Rate of Acute Ischemic Stroke in Korea
    Eun Hye Park, Yong Jin Gil, Chanki Kim, Beom Joon Kim, Seung-sik Hwang
    Journal of Preventive Medicine and Public Health.2021; 54(6): 385.     CrossRef
  • An ecological study of geographic variation and factors associated with cesarean section rates in South Korea
    Agnus M. Kim, Jong Heon Park, Sungchan Kang, Tae Ho Yoon, Yoon Kim
    BMC Pregnancy and Childbirth.2019;[Epub]     CrossRef
  • Geographic variation and factors associated with rates of knee arthroplasty in Korea-a population based ecological study
    Agnus M. Kim, Sungchan Kang, Jong Heon Park, Tae Ho Yoon, Yoon Kim
    BMC Musculoskeletal Disorders.2019;[Epub]     CrossRef
  • Factors associated with the rates of coronary artery bypass graft and percutaneous coronary intervention
    Agnus M. Kim, Jong Heon Park, Seongcheol Cho, Sungchan Kang, Tae Ho Yoon, Yoon Kim
    BMC Cardiovascular Disorders.2019;[Epub]     CrossRef
The Effect of Geographic Units of Analysis on Measuring Geographic Variation in Medical Services Utilization
Agnus M. Kim, Jong Heon Park, Sungchan Kang, Kyosang Hwang, Taesik Lee, Yoon Kim
J Prev Med Public Health. 2016;49(4):230-239.   Published online July 14, 2016
DOI: https://doi.org/10.3961/jpmph.16.034
  • 10,828 View
  • 159 Download
  • 18 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
We aimed to evaluate the effect of geographic units of analysis on measuring geographic variation in medical services utilization. For this purpose, we compared geographic variations in the rates of eight major procedures in administrative units (districts) and new areal units organized based on the actual health care use of the population in Korea.
Methods
To compare geographic variation in geographic units of analysis, we calculated the age–sex standardized rates of eight major procedures (coronary artery bypass graft surgery, percutaneous transluminal coronary angioplasty, surgery after hip fracture, knee-replacement surgery, caesarean section, hysterectomy, computed tomography scan, and magnetic resonance imaging scan) from the National Health Insurance database in Korea for the 2013 period. Using the coefficient of variation, the extremal quotient, and the systematic component of variation, we measured geographic variation for these eight procedures in districts and new areal units.
Results
Compared with districts, new areal units showed a reduction in geographic variation. Extremal quotients and inter-decile ratios for the eight procedures were lower in new areal units. While the coefficient of variation was lower for most procedures in new areal units, the pattern of change of the systematic component of variation between districts and new areal units differed among procedures.
Conclusions
Geographic variation in medical service utilization could vary according to the geographic unit of analysis. To determine how geographic characteristics such as population size and number of geographic units affect geographic variation, further studies are needed.
Summary

Citations

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  • Healthcare service use and medical outcomes of tracheostomy-dependent children: a nationwide study
    In Gyu Song, You Sun Kim, Min Sun Kim, Ji Weon Lee, Yoon-Min Cho, Youna Lim, Seong Keun Kwon, Dong In Suh, June Dong Park
    BMJ Paediatrics Open.2024; 8(1): e002377.     CrossRef
  • Geographic Distribution of Central Nervous System Rehabilitation Treatment in Korea and Its Associated Factors
    Dong-Gyun Sohn, Jaehong Yoon, Jun-Soo Ro, Ja-Ho Leigh
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Defining Referral Regions for Inpatient Trauma Care: The Utility of a Novel Geographic Definition
    Cheryl K. Zogg, Robert D. Becher, Michael K. Dalton, Sameer A. Hirji, Kimberly A. Davis, Ali Salim, Zara Cooper, Molly P. Jarman
    Journal of Surgical Research.2022; 275: 115.     CrossRef
  • High Level of Unwarranted Clinical Variation in the Use of Lower Extremity Revascularisation Procedures in Hungary (2013–2017)
    Endre Kolossváry, Tamás Ferenci, Tamás Kováts, Péter Sótonyi, Zoltán Szeberin, Balázs Nemes, Edit Dósa, Katalin Farkas, Zoltán Járai
    European Journal of Vascular and Endovascular Surgery.2022; 63(6): 874.     CrossRef
  • Healthcare utilization among children and young people with life-limiting conditions: Exploring palliative care needs using National Health Insurance claims data
    Cho Hee Kim, In Gyu Song, Min Sun Kim, Jin Yong Lee, Nam Gu Lim, Hee Young Shin
    Scientific Reports.2020;[Epub]     CrossRef
  • Regional Variation of Hospitalization Rates for Asthma in Korea: Association with Ambient Carbon Monoxide and Health Care Supply
    Agnus M. Kim, Sungchan Kang, Jong Heon Park, Yoon Kim
    International Journal of Environmental Research and Public Health.2020; 17(4): 1244.     CrossRef
  • A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea
    Agnus M. Kim, Sungchan Kang, Jong Heon Park, Tae Ho Yoon, Yoon Kim
    BMC Pulmonary Medicine.2019;[Epub]     CrossRef
  • Regional Differences in Years of Life Lost in Korea from 1997 to 2015
    Dun-Sol Go, Young-Eun Kim, Munkhzul Radnaabaatar, Yunsun Jung, Jaehun Jung, Seok-Jun Yoon
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
  • Hospitalizations for ambulatory care sensitive conditions as an indicator of access to primary care and excess of bed supply
    Agnus M. Kim, Jong Heon Park, Tae Ho Yoon, Yoon Kim
    BMC Health Services Research.2019;[Epub]     CrossRef
  • An ecological study of geographic variation and factors associated with cesarean section rates in South Korea
    Agnus M. Kim, Jong Heon Park, Sungchan Kang, Tae Ho Yoon, Yoon Kim
    BMC Pregnancy and Childbirth.2019;[Epub]     CrossRef
  • Geographic variation and factors associated with rates of knee arthroplasty in Korea-a population based ecological study
    Agnus M. Kim, Sungchan Kang, Jong Heon Park, Tae Ho Yoon, Yoon Kim
    BMC Musculoskeletal Disorders.2019;[Epub]     CrossRef
  • Factors associated with the rates of coronary artery bypass graft and percutaneous coronary intervention
    Agnus M. Kim, Jong Heon Park, Seongcheol Cho, Sungchan Kang, Tae Ho Yoon, Yoon Kim
    BMC Cardiovascular Disorders.2019;[Epub]     CrossRef
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    Yue Wu, Liang Zhang, Xuejiao Liu, Ting Ye, Yongfei Wang
    International Journal for Equity in Health.2018;[Epub]     CrossRef
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    Dan Peng, Xuan Li, Pin Liu, Mei Luo, Shuai Chen, Kewen Su, Zhongshuang Zhang, Qiang He, Jingfu Qiu, Yingli Li
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    Sergei Muratov, Justin Lee, Anne Holbrook, Andrew Costa, J. Michael Paterson, Jason R. Guertin, Lawrence Mbuagbaw, Tara Gomes, Wayne Khuu, Jean-Eric Tarride
    BMC Geriatrics.2018;[Epub]     CrossRef
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    Dun-Sol Go, Young-Eun Kim, Munkhzul Radnaabaatar, Yunsun Jung, Jaehun Jung, Seok-Jun Yoon
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
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    Ludovico Pinzari, Soumya Mazumdar, Federico Girosi
    International Journal of Health Geographics.2018;[Epub]     CrossRef
  • Senior high-cost healthcare users’ resource utilization and outcomes: a protocol of a retrospective matched cohort study in Canada
    Sergei Muratov, Justin Lee, Anne Holbrook, J Michael Paterson, Jason Robert Guertin, Lawrence Mbuagbaw, Tara Gomes, Wayne Khuu, Priscila Pequeno, Andrew P Costa, Jean-Eric Tarride
    BMJ Open.2017; 7(12): e018488.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health