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2 "Boyoung Choi"
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Original Articles
The coverage rates for influenza vaccination and related factors in Korean adults aged 50 and older with chronic disease: based on 2016 Community Health Survey data
Kyeong Hyang Byeon, Jaiyong Kim, Boyoung Choi, Bo Youl Choi
Epidemiol Health. 2018;40:e2018034.   Published online July 24, 2018
DOI: https://doi.org/10.4178/epih.e2018034
  • 12,518 View
  • 219 Download
  • 11 Web of Science
  • 14 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
This study aims to identify the coverage rates for influenza vaccination and related factors depending on chronic disease in Korean adults aged 50 and older.
METHODS
The 2016 Korea Community Health Survey was used for analysis. Chi-square test was performed to investigate the coverage rates for influenza vaccination depending on chronic disease, and a multiple logistic regression analysis was used to identify the factors associated with influenza vaccination, by chronic disease.
RESULTS
In men with ≥1 chronic disease, 39.8% of 50-64 years of age, and 86.8% of elderly (over 65 years of age) received influenza vaccination. In women with ≥1 chronic disease, 58.7% of 50-64 years of age, and 89.9% of elderly (over 65 years of age) received influenza vaccination (p<0.001). The chronic diseases associated with influenza vaccination were hypertension (odds ratio [OR], 1.27; 95% confidence interval [CI], 1.19 to 1.37), diabetes (OR, 1.41; 95% CI, 1.28 to 1.55) in men aged 50-64, hypertension (OR, 1.34; 95% CI, 1.20 to 1.49), diabetes (OR, 1.17; 95% CI, 1.02 to 1.33), chronic cardiovascular disease (OR, 1.31; 95% CI, 1.07 to 1.60) in elderly (over 65 years of age). In women aged 50-64, hypertension (OR, 1.39; 95% CI, 1.30 to 1.49), diabetes (OR, 1.51; 95% CI, 1.35 to 1.68), chronic cardiovascular disease (OR, 1.31; 95% CI, 1.05 to 1.64), and hypertension (OR, 1.55; 95% CI, 1.40 to 1.71), diabetes (OR, 1.27; 95% CI, 1.12 to 1.43) in elderly (over 65 years of age).
CONCLUSIONS
Populations in aged 50-64 are recommendation subject for vaccination or classified as high-risk group in case with chronic disease. Though subject over 60 years old is age close to the elderly, the coverage rates for vaccination was low. It is necessary to devise strategies to raise the coverage rates for vaccination.
Summary
Korean summary
매년 인플루엔자 환자수는 증가하는 추세이며 인플루엔자로 인한 의료이용의 질병부담은 커질 것으로 생각된다. 국내에서는 우선접종 권장대상자들에게 예방접종을 받도록 권고하고 있으며, 예방접종은 인플루엔자를 예방할 수 있는 비용 효과적인 방법이다. 65세 이상 대상자는 국가 무료 예방접종 사업 대상으로 인해 예방접종률이 높은 것으로 확인되었다. 50-64세 인구는 예방접종 권고 대상자임에도 불구하고 낮은 것으로 나타났고, 50-64세 연령에서 만성질환을 동반할 경우 고위험군이지만 여전히 낮은 예방접종률을 보였다. 또한 50-64세 연령에서 1개 이상 만성질환을 동반할 경우 대도시, 중소도시에 거주하는 것보다 군지역에 거주할 경우 높은 예방접종률을 확인함으로써 대도시 및 중소도시에 거주하는 50-64세 연령에 대해 예방접종률을 올릴 수 있는 적극적인 예방접종 홍보가 필요할 것으로 생각한다.

Citations

Citations to this article as recorded by  
  • All-Cause and Cause-Specific Mortality Attributable to Seasonal Influenza: A Nationwide Matched Cohort Study
    Heeseon Jang, Jaelim Cho, Seong-Kyung Cho, Donghan Lee, Sung-il Cho, Sang-Baek Koh, Dong-Chun Shin, Changsoo Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Cost-Effectiveness of Influenza Vaccination Strategies in Adults: Older Adults Aged ≥65 Years, Adults Aged 50–64 Years, and At-Risk Adults Aged 19–64 Years
    Min Joo Choi, Gyeongseon Shin, Daewon Kang, Jae-Ok Lim, Yun-Kyung Kim, Won Suk Choi, Jae-Won Yun, Ji Yun Noh, Joon Young Song, Woo Joo Kim, Sang-Eun Choi, Hee Jin Cheong
    Vaccines.2022; 10(3): 445.     CrossRef
  • Assessing Vaccine Protection for Older Adults with Diabetes: A Systematic Review
    Leena Almasri, Barbara J. Holtzclaw
    Western Journal of Nursing Research.2022; 44(6): 582.     CrossRef
  • Drivers of and barriers to routine adult vaccination: A systematic literature review
    Amanda L. Eiden, Jane Barratt, Mawuli K. Nyaku
    Human Vaccines & Immunotherapeutics.2022;[Epub]     CrossRef
  • Factors associated with influenza vaccination coverage and willingness in the elderly with chronic diseases in Shenzhen, China
    Hongbiao Chen, Qiushuang Li, Minyi Zhang, Zihao Gu, Xiaofeng Zhou, He Cao, Fei Wu, Minyi Liang, Liting Zheng, Juxian Xian, Qing Chen, Qihui Lin
    Human Vaccines & Immunotherapeutics.2022;[Epub]     CrossRef
  • The role of health determinants in the influenza vaccination uptake among older adults (65+): a scope review
    Regina Roller-Wirnsberger, Sonja Lindner, Lea Kolosovski, Elisabeth Platzer, Peter Dovjak, Holger Flick, Chariklia Tziraki, Maddalena Illario
    Aging Clinical and Experimental Research.2021; 33(8): 2123.     CrossRef
  • Factors Related to Influenza Vaccination Intention in University Students Based on Theory of Planned Behavior
    Yeojoo Chae, Sunjoo Kim, Seungkyoung Yang
    Journal of Health Informatics and Statistics.2021; 46(1): 64.     CrossRef
  • Analysis of Epidemiological and Clinical Characteristics of COVID-19 in Northwest Mexico and the Relationship Between the Influenza Vaccine and the Survival of Infected Patients
    Uriel A. Angulo-Zamudio, Francisco M. Martínez-Villa, Nidia Leon-Sicairos, Hector Flores-Villaseñor, Jorge Velazquez-Roman, Abraham Campos-Romero, Jonathan Alcántar-Fernández, Francisco Urrea, Secundino Muro-Amador, Julio Medina-Serrano, Jesus J. Martinez
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Influenza Vaccination Coverage among Older Adults with Hypertension in Shenzhen, China: A Cross-Sectional Survey during the COVID-19 Pandemic
    Qiushuang Li, Minyi Zhang, Hongbiao Chen, Fei Wu, Juxian Xian, Liting Zheng, Minyi Liang, He Cao, Xiaofeng Zhou, Zihao Gu, Qihui Lin, Qing Chen
    Vaccines.2021; 9(10): 1105.     CrossRef
  • A Nationwide Survey on the Hospital Vaccination Policies in Korea
    Sun Hee Park, Mi Suk Lee, Sung Ran Kim, Yee Gyung Kwak
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Possibilities for Coronavirus (COVID 19) – The Perspectives
    Mark Christopher Arokiaraj
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Correlation of Influenza Vaccination and the COVID-19 Severity
    Mark Christopher Arokiaraj
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Considering Interim Interventions to Control COVID-19 Associated Morbidity and Mortality—Perspectives
    Mark Christopher Arokiaraj
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • Increasing Influenza Vaccination Rates in People With Chronic Illness
    Linda Sanftenberg, Felix Brombacher, Jörg Schelling, Stefanie J. Klug, Jochen Gensichen
    Deutsches Ärzteblatt international.2019;[Epub]     CrossRef
Factors related to cancer screening behaviors
Boyoung Choi, Tae Rim Um, Kwang-Soo Lee
Epidemiol Health. 2018;40:e2018011.   Published online March 29, 2018
DOI: https://doi.org/10.4178/epih.e2018011
  • 12,587 View
  • 235 Download
  • 7 Web of Science
  • 5 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
This study aimed to investigate the factors related to cancer screening behaviors (CSB).
METHODS
The 2014 Korean Community Health Survey used for analysis. The dependent variable was CSB, and the independent variables were demographic, health behavioral, and regional factor. Propensity score matching (PSM) used to control health behavior and regional factors, which were influencing CSB. For statistical analysis, chi-square test and logistic regression analysis used.
RESULTS
Logistic regression analysis after PSM showed that gender, age, marital status, educational level, monthly household income, employment type, alcohol drinking, smoking, body mass index group, chronic disease, and subjective health status influenced the CSB, there were statistical differences.
CONCLUSIONS
To improve cancer screening (CS), it is necessary to educate individuals on the need for CS and to carry out a personalized CS program based on an individual’s demographic status and health behavior.
Summary
Korean summary
본 연구의 목적은 암 검진 행태와 관련된 요인들을 조사하는 것이다. 이를 위해 2014년 지역 사회 건강 조사 데이터를 활용하였으며, 건강 검진 행동에 영향을 미치는 건강 행동 및 지역 요인을 통제하기 위해 성향점수매칭 방법을 사용하였고, 통계 분석을 위해 카이 제곱 검정과 로지스틱 회귀 분석을 사용하였다. 성향점수 매칭 후 분석 결과에서 성별, 연령, 결혼 상태, 교육 수준, 월평균 가구 소득, 고용형태, 음주, 흡연, BMI 그룹, 만성 질환, 주관적 건강 상태가 암 검진 수진에 영향을 미치는 것으로 나타났다. 암 검진 수진을 향상시키기 위해서 암 검진의 필요성에 대한 교육과 개인의 인구사회학적, 건강 행태를 고려한 맞춤형 암 검진 프로그램이 필요하다. 본 연구는 성향점수 매칭을 이용하여 교란요인을 통제한 후 암 검진 수진의 영향을 살펴보았다는 데에 의의가 있다.

Citations

Citations to this article as recorded by  
  • Health Behaviors of Cancer Survivors According to the Employment Status and Occupation: A Cross-Sectional Study
    Ka Ryeong Bae, Wi-Young So, Su Jung Lee
    Healthcare.2023; 11(22): 2974.     CrossRef
  • Income Disparities in Cancer Screening: A Cross-Sectional Study of the Korean National Health and Nutrition Examination Survey, 2013–2019
    Vasuki Rajaguru, Tae Hyun Kim, Jaeyong Shin, Sang Gyu Lee
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Predictors of non-communicable diseases screening behaviours among adult population in Brunei Darussalam: a retrospective study
    Ak Muhd Adiib Pg Suhaimi, Hanif Abdul Rahman, Sok King Ong, David Koh
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  • Older Adults’ Socio-Demographic Determinants of Health Related to Promoting Health and Getting Preventive Health Care in Southern United States: A Secondary Analysis of a Survey Project Dataset
    Huey-Ming Tzeng, Udoka Okpalauwaekwe, Chih-Ying Li
    Nursing Reports.2021; 11(1): 120.     CrossRef
  • The Association between Dietary Inflammatory Index (DII) and Cancer Risk in Korea: A Prospective Cohort Study within the KoGES-HEXA Study
    Injeong Ryu, Minji Kwon, Cheongmin Sohn, Nitin Shivappa, James R. Hébert, Woori Na, Mi Kyung Kim
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