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"Eun Ha Kim"

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"Eun Ha Kim"

Original Articles
Disparity in Health Screening and Health Utilization according to Economic Status
Min Jung Kim, Hyejin Lee, Eun Ha Kim, Mi Hee Cho, Dong Wook Shin, Jae Moon Yun, Jung-Hyun Shin
Korean J Fam Med 2017;38(4):220-225.   Published online July 20, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.4.220
Background

Cardiovascular disease (CVD) has become the most common cause of mortality and morbidity worldwide. Health screening is associated with higher outpatient visits for detection and treatment of CVD-related diseases (diabetes mellitus, hypertension, and dyslipidemia). We examined the association between health screening, health utilization, and economic status.

Methods

A sampled cohort database from the National Health Insurance Corporation was used. We included 306,206 participants, aged over 40 years, without CVD (myocardial infarction, stroke, and cerebral hemorrhage), CVD-related disease, cancer, and chronic renal disease. The follow-up period was from January 1, 2003 through December 31, 2005.

Results

Totally, 104,584 participants received at least one health screening in 2003–2004. The odds ratio of the health screening attendance rate for the five economic status categories was 1.27 (95% confidence interval [CI], 1.24 to 1.31), 1.05 (95% CI, 1.02 to 1.08), 1, 1.16 (95% CI, 1.13 to 1.19) and 1.50 (95% CI, 1.46 to 1.53), respectively. For economic status 1, 3, and 5, respectively, the diagnostic rate after health screening was as follows: diabetes mellitus: 5.94%, 5.36%, and 3.77%; hypertension: 32.75%, 30.16%, and 25.23%; and dyslipidemia: 13.43%, 12.69%, and 12.20%. The outpatient visit rate for attendees diagnosed with CVD-related disease was as follows for economic status 1, 3, and 5, respectively: diabetes mellitus: 37.69%, 37.30%, and 43.70%; hypertension: 34.44%, 30.09%, and 32.31%; and dyslipidemia: 18.83%, 20.35%, and 23.48%.

Conclusion

Thus, higher or lower economic status groups had a higher health screening attendance rate than the middle economic status group. The lower economic status group showed lower outpatient visits after screening, although it had a higher rate of CVD diagnosis.

Citations

Citations to this article as recorded by  
  • Cross-Sectional Study to Evaluate Disparity in Healthcare Access for Patients With a Headache Having Cigna or Medicaid Insurance
    Valentyna Olinchuk, Souwdamini Sethuram, Adik Umeshkumar Patel, Nadia Djahanshahi, Samreen Shaikh, Naga Amrutha Varshini Nathani
    Cureus.2024;[Epub]     CrossRef
  • Insurance Types and All-Cause Mortality in Korean Cancer Patients: A Nationwide Population-Based Cohort Study
    Jinyoung Shin, Yoon-Jong Bae, Hee-Taik Kang
    Journal of Personalized Medicine.2024; 14(8): 861.     CrossRef
  • Association between life satisfaction, self-esteem, and health checkup participation: A population-based longitudinal study in South Korea
    Seong-Uk Baek, Jin-Ha Yoon
    Preventive Medicine.2024; 189: 108127.     CrossRef
  • Characteristics Associated With New Patient Appointment No-Shows at an Academic Ophthalmology Department in the United States
    Mckenzee Chiam, Allen R. Kunselman, Michael C. Chen
    American Journal of Ophthalmology.2021; 229: 210.     CrossRef
  • An equity evaluation in stroke inpatients in regard to medical costs in China: a nationwide study
    Yong Yang, Stephen Nicholas, Elizabeth Maitland, Zhengwei Huang, Xiaoping Chen, Yong Ma, Xuefeng Shi
    BMC Health Services Research.2021;[Epub]     CrossRef
  • Race Disparities in the Use of Prevention, Screening, and Monitoring Services in Michigan Medicare Beneficiaries With Type 2 Diabetes and Combinations of Multiple Chronic Conditions
    John Michael Clements, Brady Thomas West, Batoul Harissa, Nolan Hayden, Mishaal Mustafa Khan, Raghuram Palepu
    Clinical Diabetes.2020; 38(4): 363.     CrossRef
  • Economic Status Inequality Is a Predictor for Screening and Health Utilization
    Yousef Veisani, Ali Delpisheh, Salman Khazaei
    Korean Journal of Family Medicine.2018; 39(1): 62.     CrossRef
  • Geographic variation in health insurance benefits in Qianjiang District, China: a cross-sectional study
    Yue Wu, Liang Zhang, Xuejiao Liu, Ting Ye, Yongfei Wang
    International Journal for Equity in Health.2018;[Epub]     CrossRef
  • 5,329 View
  • 56 Download
  • 8 Web of Science
  • 8 Crossref
Association between Weight Changes after Smoking Cessation and Cardiovascular Disease among the Korean Population
Eun Ha Kim, Hyejin Lee, Dong Wook Shin, Jae Moon Yun, Jung-Hyun Shin, Yoo Kyoung Lim, Hye Yeon Koo, Miso Jang
Korean J Fam Med 2017;38(3):122-129.   Published online May 23, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.3.122
Background

Cigarette smoking is a risk factor for cardiovascular disease (CVD) and has both beneficial and harmful effects in CVD. We hypothesized that weight gain following smoking cessation does not attenuate the CVD mortality of smoking cessation in the general Korean population.

Methods

Study subjects comprised 2.2% randomly selected patients from the Korean National Health Insurance Corporation, between 2002 and 2013. We identified 61,055 subjects who were classified as current smokers in 2003–2004. After excluding 21,956 subjects for missing data, we studied 30,004 subjects. We divided the 9,095 ex-smokers into two groups: those who gained over 2 kg (2,714), and those who did not gain over 2 kg (6,381, including weight loss), after smoking cessation. Cox proportional hazards regression models were used to estimate the association between weight gain following smoking cessation and CVD mortality.

Results

In the primary analysis, the hazard ratios of all-cause deaths and CVD deaths were assessed in the three groups. The CVD risk factors and Charlson comorbidity index adjusted hazard ratios (aHRs) for CVD deaths were 0.80 (95% confidence interval [CI], 0.37 to 1.75) for ex-smokers with weight gain and 0.80 (95% CI, 0.50 to 1.27) for ex-smokers with no weight gain, compared to one for sustained smokers. The associations were stronger for events other than mortality. The aHRs for CVD events were 0.69 (95% CI, 0.54 to 0.88) and 0.81 (95% CI, 0.70 to 0.94) for the ex-smokers with and without weight gain, respectively.

Conclusion

Although smoking cessation leads to weight gain, it does not increase the risk of CVD death.

Citations

Citations to this article as recorded by  
  • Association between waist circumference or weight change after smoking cessation and incidence of cardiovascular disease or all-cause death in Korean adults with type 2 diabetes
    Heajung Lee, Jaeyong Shin, Jae Woo Choi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Lifelong smoking status, weight gain, and subsequent risk of major adverse cardiovascular events: Long‐term follow‐up of a middle‐aged Chinese population
    Lirong Liang, Changwei Li, Xiaoqing Liu, Long Zhou, Shuilian Chu, Ruiyuan Zhang, Jinzhuang Mai, Adrianna Westbrook, Jiachen Li, Di Zhang, Liancheng Zhao, Yangfeng Wu
    Obesity.2022; 30(3): 762.     CrossRef
  • Smoking Cessation May Reduce Risk of Visual Field Progression in Heavy Smokers
    Golnoush Mahmoudinezhad, Takashi Nishida, Robert N. Weinreb, Sally L. Baxter, Evan Walker, Medi Eslani, Jeffrey M. Liebmann, Christopher A. Girkin, Sasan Moghimi
    Journal of Glaucoma.2022; 31(10): 796.     CrossRef
  • Thirty-six Year Trends in Mortality from Diseases of Circulatory System in Korea
    Jongmin Baek, Hokyou Lee, Hyeok-Hee Lee, Ji Eun Heo, So Mi Jemma Cho, Hyeon Chang Kim
    Korean Circulation Journal.2021; 51(4): 320.     CrossRef
  • Weight Gain After Smoking Cessation and Risk of Major Chronic Diseases and Mortality
    Berhe W. Sahle, Wen Chen, Lal B. Rawal, Andre M. N. Renzaho
    JAMA Network Open.2021; 4(4): e217044.     CrossRef
  • Smoking Cessation, Weight Gain, Cardiovascular Risk, and All-Cause Mortality: A Meta-analysis
    Xiaowen Wang, Li-Qiang Qin, Ahmed Arafa, Ehab S Eshak, Yonghua Hu, Jia-Yi Dong
    Nicotine & Tobacco Research.2021; 23(12): 1987.     CrossRef
  • Dose-Dependent Effect of Smoking on Risk of Diabetes Remains after Smoking Cessation: A Nationwide Population-Based Cohort Study in Korea
    Se Eun Park, Mi Hae Seo, Jung-Hwan Cho, Hyemi Kwon, Yang-Hyun Kim, Kyung-Do Han, Jin-Hyung Jung, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee
    Diabetes & Metabolism Journal.2021; 45(4): 539.     CrossRef
  • Cancer risk among young men with weight gain after smoking cessation: A population-based cohort study
    Kyuwoong Kim, Seulggie Choi, Gyeongsil Lee, Su-Min Jeong, Sung Min Kim, Joung Sik Son, Jae-Moon Yun, Yeon-Yong Kim, Seong Yong Park, Sang Min Park
    Cancer Epidemiology.2019; 60: 86.     CrossRef
  • Changes in carotid artery structure with smoking cessation
    Carol Mitchell, Megan E Piper, Stevens S Smith, Claudia E Korcarz, Michael C Fiore, Timothy B Baker, James H Stein
    Vascular Medicine.2019; 24(6): 493.     CrossRef
  • Weight gain after smoking cessation: more data to refute concerns
    Nancy A Rigotti, Carole Clair
    European Heart Journal.2018; 39(17): 1532.     CrossRef
  • 5,376 View
  • 49 Download
  • 11 Web of Science
  • 10 Crossref
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