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"Jung-Kwon Lee"

Original Articles
Risk of Cardiovascular Disease Using Framingham Risk Score in Korean Cancer Survivors
Ji-Hyun So, Jung-Kwon Lee, Jin-Young Shin, Wan Park
Korean J Fam Med 2016;37(4):235-241.   Published online July 21, 2016
DOI: https://doi.org/10.4082/kjfm.2016.37.4.235
Background

Cardiovascular disease is an important cause of morbidity and mortality in cancer survivors. The aim of this study was to investigate the modifiable cardiovascular disease risk factors and 10-year probability of the disease based on the Framingham risk score in cancer survivors, compared with the general population.

Methods

A total of 1,225 cancer survivors and 5,196 non-cancer controls who participated in the 2007–2013 Korea National Health and Nutrition Examination Surveys were enrolled. We assessed modifiable cardiovascular disease risk factors including smoking, body mass index, physical inactivity, high blood pressure, high cholesterol, and elevated blood glucose level. The 10-year probability of cardiovascular disease was determined by applying the Framingham cardiovascular disease risk equation among cancer survivors and non-cancer controls, ranging from 30 to 74 years old who had no overt cardiovascular diseases.

Results

The proportion of subjects who had higher fasting glucose levels, hemoglobin A1c levels, systolic blood pressure, and low density lipoprotein cholesterol levels, and those who had lower high density lipoprotein cholesterol levels was significantly higher in the cancer survivors than in the non-cancer controls. The average 10-year probability of cardiovascular disease among the cancer survivors was higher than that in the non-cancer controls in both men and women. The average 10-year probability of cardiovascular disease in relation to the cancer type was significantly higher in patients with hepatic, colon, lung, breast, and gastric cancer.

Conclusion

Cancer survivors have a higher cardiovascular disease risk and 10-year probability of cardiovascular disease than non-cancer controls. Control of cardiovascular disease risk factors and implementation of a well-defined cardiovascular disease prevention program are needed for treating cancer survivors.

Citations

Citations to this article as recorded by  
  • Assessing cardiovascular disease risk and social determinants of health: A comparative analysis of five risk estimation instruments using data from the Eastern Caribbean Health Outcomes Research Network
    Jeremy I. Schwartz, Christina Howitt, Sumitha Raman, Sanya Nair, Saria Hassan, Carol Oladele, Ian R. Hambleton, Daniel F. Sarpong, Oswald P. Adams, Rohan G. Maharaj, Cruz M. Nazario, Maxine Nunez, Marcella Nunez-Smith, Paulo Alexandre Azevedo Pereira Sant
    PLOS ONE.2025; 20(1): e0316577.     CrossRef
  • Cardiovascular Disease Risk in Individuals Following Plant-Based Dietary Patterns Compared to Regular Meat-Eaters
    Grace Austin, Jessica J. A. Ferguson, Shaun Eslick, Christopher Oldmeadow, Lisa G. Wood, Manohar L. Garg
    Nutrients.2024; 16(7): 1063.     CrossRef
  • Lipid Profile and Atherogenic Risk Assessment in Nigerian Breast Cancer Patients – A Cross-Sectional Study
    Ogochukwu O. Izuegbuna, Hannah O. Olawumi, Olayide S. Agodirin, Samuel A. Olatoke
    Journal of the American Nutrition Association.2024; 43(7): 582.     CrossRef
  • Predictive Performance of Cardiovascular Risk Scores in Cancer Survivors From the UK Biobank
    Celeste McCracken, Dorina-Gabriela Condurache, Liliana Szabo, Hussein Elghazaly, Fiona M. Walter, Adam J. Mead, Ronjon Chakraverty, Nicholas C. Harvey, Charlotte H. Manisty, Steffen E. Petersen, Stefan Neubauer, Zahra Raisi-Estabragh
    JACC: CardioOncology.2024; 6(4): 575.     CrossRef
  • Cancer therapy-related cardiac dysfunction and the role of cardiovascular imaging: systemic review and opinion paper from the Working Group on Cardio-Oncology of the Korean Society of Cardiology
    Iksung Cho, Seng-Chan You, Min-Jae Cha, Hui-Jeong Hwang, Eun Jeong Cho, Hee Jun Kim, Seong-Mi Park, Sung-Eun Kim, Yun-Gyoo Lee, Jong-Chan Youn, Chan Seok Park, Chi Young Shim, Woo-Baek Chung, Il Suk Sohn
    Journal of Cardiovascular Imaging.2024;[Epub]     CrossRef
  • Cancer history as a predictor in cardiovascular risk scores: a primary care cohort study
    Helen Strongman, Emily Herrett, Rod Jackson, Michael Sweeting, Alexander R Lyon, Susannah Stanway, Claire Lawson, Umesh Kadam, Liam Smeeth, Krishnan Bhaskaran
    British Journal of General Practice.2023; 73(726): e34.     CrossRef
  • Comparison of cardiovascular disease risk in women with and without breast cancer: secondary data analysis with the 2014–2018 korean national health and nutrition examination survey
    Seongmi Choi, Na-Jin Park, Mihui Kim, Kijun Song, JiYeon Choi
    BMC Public Health.2023;[Epub]     CrossRef
  • Plant-Based Dietary Patterns and Cardiovascular Disease Risk in Australians: Protocol for a Cross-Sectional Study
    Jessica Ferguson, Grace Austin, Christopher Oldmeadow, Manohar Garg
    Nutrients.2023; 15(13): 2850.     CrossRef
  • Ten-year cardiovascular risk among cancer survivors: The National Health and Nutrition Examination Survey
    Xiaochen Zhang, Meghan Pawlikowski, Susan Olivo-Marston, Karen Patricia Williams, Julie K. Bower, Ashley S. Felix, Bart Ferket
    PLOS ONE.2021; 16(3): e0247919.     CrossRef
  • Quantitative Determination of Epa and Dha in Fish Oil Capsules for Cardiovascular Disease Therapy in Indonesia by Gc-Ms
    Amelia Lorensia, Ryanto Budiono, Rivan Virlando Suryadinata, Navy Tiarasari
    Journal of Public Health Research.2021;[Epub]     CrossRef
  • Predicting Cardiovascular Disease Among Testicular Cancer Survivors After Modern Cisplatin-based Chemotherapy: Application of the Framingham Risk Score
    Darren R. Feldman, Shirin Ardeshir-Rouhani-Fard, Patrick Monahan, Howard D. Sesso, Chunkit Fung, Annalynn M. Williams, Robert J. Hamilton, David J. Vaughn, Clair J. Beard, Ryan Cook, Mohammad Abu Zaid, Steven E. Lipshultz, Lawrence H. Einhorn, Kevin C. Oe
    Clinical Genitourinary Cancer.2018; 16(4): e761.     CrossRef
  • 5,219 View
  • 60 Download
  • 10 Web of Science
  • 11 Crossref
Association between Smoking and Periodontal Disease in Korean Adults: The Fifth Korea National Health and Nutrition Examination Survey (2010 and 2012)
Ah-Young Jang, Jung-Kwon Lee, Jin-Young Shin, Hae-Young Lee
Korean J Fam Med 2016;37(2):117-122.   Published online March 25, 2016
DOI: https://doi.org/10.4082/kjfm.2016.37.2.117
Background

This study aimed to evaluate an association between smoking, smoking cessation, and periodontal disease in Korean adults.

Methods

The data were collected from 8,336 participants, aged between 20 and 64 years, who participated in the fifth Korea National Health and Nutrition Examination (2010 and 2012). Smoking status was assessed using self-administered questionnaires. Periodontal disease was defined as a community periodontal index ≥3 points. Logistic regression analysis was used to evaluate an association between smoking, smoking cessation, and periodontal disease after adjusting for age, sex, education, monthly income, diabetes, obesity, alcohol intake, and frequency of tooth brushing.

Results

The risk of periodontal disease was higher among current smokers (odds ratio [OR], 1.49; 95% confidence interval [CI], 1.21-1.83) than never smokers. Among current smokers, the risk of periodontal disease was increased in smokers of ≥10 cigarettes/d, ≥20 years duration, and >10 pack-years compared with never smokers (P<0.05). Among former smokers, the risk of periodontal disease after 10 years since cessation declined to 0.56 (95% CI, 0.42-0.75) compared with current smokers and was indistinguishable statistically from never smokers.

Conclusion

Periodontal disease is significantly associated with smoking status in Korean adults.

Citations

Citations to this article as recorded by  
  • Investigating the Relationship between Oral Health and Severe Mental Illness: Analysis of NHANES 1999–2016
    Jing Kang, Jianhua Wu, Vishal. R. Aggarwal, David Shiers, Tim Doran, Jasper Palmier-Claus
    Dentistry Journal.2024; 12(7): 191.     CrossRef
  • Analysis of the utilization rate of claimed dental implants and related factors.
    Hyang-Ah Park, Ah-ran Pae, Yong-Dae Kwon, Seoung-Jin Hong, Kun-Chul Lee, Jae-In Ryu
    The Journal of The Korean Dental Association.2024; 62(10): 619.     CrossRef
  • Association between Smoking and Periodontal Disease in South Korean Adults
    Ka-Yun Sim, Yun Seo Jang, Ye Seul Jang, Nataliya Nerobkova, Eun-Cheol Park
    International Journal of Environmental Research and Public Health.2023; 20(5): 4423.     CrossRef
  • Impact of Smoking Cessation on Periodontal Tissues
    Poliana Mendes Duarte, Cristiana Fernandes Plutarco Nogueira, Sarah Monique Silva, Cláudio Mendes Pannuti, Karin C. Schey, Tamires Szeremeske Miranda
    International Dental Journal.2022; 72(1): 31.     CrossRef
  • Adrenal incidentaloma as a novel independent predictive factor for periodontitis
    M. O. Rodrigues, A. B. Moraes, M. P. de Paula, V. A. Pereira, A. T. T. Leão, L. Vieira Neto
    Journal of Endocrinological Investigation.2021; 44(11): 2455.     CrossRef
  • Effect of smoking on periodontal health and validation of self-reported smoking status with serum cotinine levels
    Shweta Goswami, Pekka Ylöstalo, Sohaib Khan, Matti Knuuttila, Eduardo Bernabe, Anna Liisa Suominen
    Acta Odontologica Scandinavica.2021; 79(8): 573.     CrossRef
  • Prevalence and associated factors of periodontal conditions among 55- to 74-year-old adults in China: results from the 4th National Oral Health Survey
    Haoyun Sun, Minquan Du, Baojun Tai, Shuli Chang, Yixuan Wang, Han Jiang
    Clinical Oral Investigations.2020; 24(12): 4403.     CrossRef
  • The Association Between Oral Hygiene Behavior and Gingival Health Status with the Stage and Grade of Periodontitis: A Cross-Sectional Study
    Ahu Dikilitas¸, Fatih Karaaslan, Umut Yig˘it
    Journal of Advanced Oral Research.2020; 11(2): 156.     CrossRef
  • Self-Reported Exposure to ETS (Environmental Tobacco Smoke), Urinary Cotinine, and Oxidative Stress Parameters in Pregnant Women—The Pilot Study
    Lubica Argalasova, Ingrid Zitnanova, Diana Vondrova, Monika Dvorakova, Lucia Laubertova, Jana Jurkovicova, Juraj Stofko, Michael Weitzman, Iveta Waczulikova, Martin Simko
    International Journal of Environmental Research and Public Health.2019; 16(9): 1656.     CrossRef
  • The Influence ofTLR4,CD14,OPG, andRANKLPolymorphisms in Periodontitis: A Case-Control Study
    Joana Maira Valentini Zacarias, Josiane Bazzo de Alencar, Patrícia Yumeko Tsuneto, Victor Hugo de Souza, Cléverson O. Silva, Jeane Eliete Laguila Visentainer, Ana Maria Sell
    Mediators of Inflammation.2019; 2019: 1.     CrossRef
  • Smoking and Periodontal Health
    S. Selva Süme Keşir, H. Ebru Olgun
    Current Oral Health Reports.2018; 5(1): 50.     CrossRef
  • The association of dietary vitamin C intake with periodontitis among Korean adults: Results from KNHANES Ⅳ
    Jung-Hoo Lee, Myung-Seop Shin, Eun-Jeong Kim, Yoo-Been Ahn, Hyun-Duck Kim, Binnaz Leblebicioglu
    PLOS ONE.2017; 12(5): e0177074.     CrossRef
  • Risk factors for chronic periodontitis in Sri Lankan adults: a population based case–control study
    Nimali Wellapuli, Lilani Ekanayake
    BMC Research Notes.2017;[Epub]     CrossRef
  • The association between periodontitis and sleep duration
    Mario Romandini, Gioele Gioco, Giorgio Perfetti, Giorgio Deli, Edoardo Staderini, Andreina Laforì
    Journal of Clinical Periodontology.2017; 44(5): 490.     CrossRef
  • 4,761 View
  • 60 Download
  • 13 Web of Science
  • 14 Crossref
Health-Related Quality of Life and Cardiovascular Disease Risk in Korean Adults
Hyeon-Young Ko, Jung-Kwon Lee, Jin-Young Shin, Euni Jo
Korean J Fam Med 2015;36(6):349-356.   Published online November 20, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.6.349
Background

Health-related quality of life (HRQoL) is considered an important outcome measure in chronic diseases, in particular cardiovascular disease (CVD), which is known to be associated with impaired HRQoL. However, few studies have examined HRQoL in individuals at high risk of CVD.

Methods

Using the Fifth Korea National Health and Nutrition Examination Survey 2010-2012, we analyzed data from 10,307 adults aged ≥30 years. The study subjects were stratified into 3 groups on the basis of their Framingham risk score-a 10-year estimate of CVD risk: <10.0% (low risk), 10.0%-19.9% (moderate risk), and ≥20.0% (high risk). The EuroQol-5D (EQ-5D) was used to evaluate HRQoL.

Results

A significantly higher proportion of high-risk subjects than low-risk participants had impaired HRQoL (defined as the lowest quartile of the EQ-5D index); this held true even after adjustment for confounding factors in multivariable logistic regression analysis (men: odds ratio [OR], 1.62; 95% confidence interval [CI], 1.24-2.11; women: OR, 1.46; 95% CI, 1.02-2.08). In terms of the 5 EQ-5D dimensions, a 10-year CVD risk ≥20.0% was significantly associated with self-reported problems of mobility in men (OR, 3.15; 95% CI, 2.02-4.90), and of mobility (OR, 1.56; 95% CI, 1.09-2.24), self-care (OR, 2.14; 95% CI, 1.09-4.22), and usual activity problems (OR, 1.80; 95% CI, 1.17-2.78) in women.

Conclusion

A high CVD risk is associated with impaired HRQoL. After adjustment for demographic and clinical factors, a 10-year CVD risk ≥20.0% is an independent predictor of impaired HRQoL in the general population; in particular, of mobility problems in men, and of mobility, self-care, and usual activity problems in women.

Citations

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  • Assessment of Quality of Life in Lithuanian Patients with Multimorbidity Using the EQ-5D-5L Questionnaire
    Olga Vasiliauskienė, Dovydas Vasiliauskas, Aušrinė Kontrimienė, Lina Jaruševičienė, Ida Liseckienė
    Medicina.2025; 61(2): 292.     CrossRef
  • Assessment of Health‐Related Quality of Life and Its Associated Factors Among Cardiovascular Disease Patients at a Teaching Hospital in Northwest Ethiopia: A Cross‐Sectional Study
    Assefa Belay Asrie, Mulugeta Dereje, Amanuel Getachew, Betelhem Genetu, Simona Saponara
    BioMed Research International.2025;[Epub]     CrossRef
  • Impact of Metabolic Syndrome and Cardiovascular Risk on the Quality of Life of People Living with HIV
    Ítalo Inácio Pereira, Adrielly Katrine Tozetto Morais Muto, Regyane Ferreira Guimarães Dias, Hélio Ranes de Menezes Filho, Eduardo Vignoto Fernandes, Luiz Fernando Gouvêa-e-Silva, Ludimila Paula Vaz Cardoso
    Current HIV Research.2024; 22(3): 170.     CrossRef
  • Modern psychometric evaluation of Thai WHOQOL-BREF and its shorter versions in patients undergoing warfarin in Thailand: Rasch analysis
    Krittaphas Kangwanrattanakul, Nattanichcha Kulthanachairojana
    Scientific Reports.2024;[Epub]     CrossRef
  • Perspectives on Quality of Life in Women with Breast Cancer
    Edgar Fabian Manrique-Hernandez, Esther Ballesteros Goes, Kendrys Hoyos Madera, Anderson Bermon, Alexandra Hurtado-Ortiz, Maricel Licht-Ardila, Giselly Mayerly Nieves-Cuervo
    Indian Journal of Palliative Care.2024; 30: 347.     CrossRef
  • A systematic review and meta-analysis of health-related quality of life among patients with cardiovascular diseases in Ethiopia
    Worku Chekol Tassew, Agerie Mengistie Zeleke, Samson Sisay Woldie, Yeshiwas Ayale Ferede
    Frontiers in Cardiovascular Medicine.2024;[Epub]     CrossRef
  • The Added Value of Remote Technology in Cardiac Rehabilitation on Physical Function, Anthropometrics, and Quality of Life: Cluster Randomized Controlled Trial
    Heli Lahtio, Ari Heinonen, Teemu Paajanen, Tuulikki Sjögren
    Journal of Medical Internet Research.2023; 25: e42455.     CrossRef
  • Positivity and Health Locus of Control: Key Variables to Intervene on Well-Being of Cardiovascular Disease Patients
    Bárbara Luque, Naima Z. Farhane-Medina, Marta Villalba, Rosario Castillo-Mayén, Esther Cuadrado, Carmen Tabernero
    Journal of Personalized Medicine.2023; 13(5): 873.     CrossRef
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    Razieh Mohammadi-Dashtaki, Saeid Heidari-Soureshjani, Catherine Mary Turner Sherwin
    Current Drug Therapy.2023; 18(3): 262.     CrossRef
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    Emilie Pianarosa, Meghan O'Neill, Kathy Kornas, Lori M. Diemert, Christopher Tait, Laura C. Rosella
    Preventive Medicine.2023; 175: 107673.     CrossRef
  • A score appraising Paleolithic diet and the risk of cardiovascular disease in a Mediterranean prospective cohort
    Víctor de la O, Itziar Zazpe, Leticia Goni, Susana Santiago, Nerea Martín-Calvo, Maira Bes-Rastrollo, J. Alfredo Martínez, Miguel Á. Martínez-González, Miguel Ruiz-Canela
    European Journal of Nutrition.2022; 61(2): 957.     CrossRef
  • The Impact of Risk Factor Control on Health-Related Quality of Life in Individuals with High Cardiovascular Disease Risk: A Cross-sectional Study Based on EQ-5D Utility Scores in Inner Mongolia, China
    Ning Cao, Zhihui Hao, Liwei Niu, Nan Zhang, Hao Zhu, Han Bao, Tao Yan, Xin Fang, Xiaoqian Xu, Lehui Li, Yan Liu, Yuan Xia, Xiong Su, Xingguang Zhang
    Journal of Epidemiology and Global Health.2022; 12(1): 133.     CrossRef
  • The Association between Health-Enhancing Physical Activity and Quality of Life in Patients with Chronic Kidney Disease: Propensity Score Matching Analysis
    Tae Ryom Oh, Hong Sang Choi, Sang Heon Suh, Chang Seong Kim, Eun Hui Bae, Suah Sung, Seung Hyeok Han, Kook Hwan Oh, Seong Kwon Ma, Soo Wan Kim
    International Journal of Environmental Research and Public Health.2022; 19(3): 1318.     CrossRef
  • Health-related quality of life and treatment satisfaction of patients with cardiovascular disease in Ethiopia
    Kebron Tito, Girma Tekle Gebremariam, Kebede Beyene, Beate Sander, Gebremedhin Beedemariam Gebretekle
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Mental Health Status of Adults with Cardiovascular or Metabolic Diseases by Gender
    Yeunhee Kwak, Yoonjung Kim, Soo Jin Kwon, Haekyung Chung
    International Journal of Environmental Research and Public Health.2021; 18(2): 514.     CrossRef
  • Depressive Symptoms and Health-Related Quality of Life in Patients with Cardiovascular Diseases Attending a Tertiary Care Hospital, Puducherry—A Cross-Sectional Study
    Arokiasamy Senthilkumar, Lakshminarayanan Subitha, Essakky Saravanan, Dinesh Kumar Giriyappa, Santhosh Satheesh, Vikas Menon
    Journal of Neurosciences in Rural Practice.2021; 12: 376.     CrossRef
  • Quantitative Determination of Epa and Dha in Fish Oil Capsules for Cardiovascular Disease Therapy in Indonesia by Gc-Ms
    Amelia Lorensia, Ryanto Budiono, Rivan Virlando Suryadinata, Navy Tiarasari
    Journal of Public Health Research.2021;[Epub]     CrossRef
  • Oral health-related quality of life (OHRQoL) in cardiovascular patients referring to Fatima Zahra Hospital in Sari, Iran
    Tahereh Molania, Ali Malekzadeh Shafaroudi, Mehdi Taghavi, Hodis Ehsani, Mahmood Moosazadeh, Azam Haddadi, Negar Gholizadeh, Maede Salehi
    BMC Oral Health.2021;[Epub]     CrossRef
  • Periodontitis stage and grade are associated with poor oral‐health‐related quality of life: Findings from the Porto Alegre cohort study
    Joseane Goergen, Jasim M. Albandar, Rui Vicente Oppermann, Cassiano Kuchenbecker Rösing, Cristiano Susin, Alex Nogueira Haas
    Journal of Clinical Periodontology.2021; 48(10): 1333.     CrossRef
  • Effect of depression and anxiety on quality of life among cardiovascular patients visiting Tertiary Care hospital Lahore
    Andleeb Shakoor, Hafsa Kamran, Maryam Shakoor, Sidra Khalid, Sughra Shakoor, Maria Aslam, Hina Shakoor
    Pakistan BioMedical Journal.2021;[Epub]     CrossRef
  • Diagnostic Precision of Anthropometric Variables for the Detection of Hypertension in Children and Adolescents
    Manuel Vaquero-Álvarez, Rafael Molina-Luque, Francisco Javier Fonseca-Pozo, Guillermo Molina-Recio, José López-Miranda, Manuel Romero-Saldaña
    International Journal of Environmental Research and Public Health.2020; 17(12): 4415.     CrossRef
  • Associations of Knowledge, Attitude and Practices of Food Label on Cardiovascular Diseases (CVD) Risk amongst University Students in Selangor, Malaysia
    Ho EVELYN, Ainor Farahin AZIZ, Sarina SARIMAN
    Journal of Nutritional Science and Vitaminology.2020; 66(Supplement): S275.     CrossRef
  • Effectiveness of mindfulness-based stress reduction program on quality of life in cardiovascular disease patients
    Darioush Jalali, Mohammad Abdolazimi, Zahra Alaei, Kamal Solati
    IJC Heart & Vasculature.2019; 23: 100356.     CrossRef
  • Association between physical inactivity and health-related quality of life in adults with coronary heart disease
    Reginald Wardoku, Cindy Blair, Ryan Demmer, Anna Prizment
    Maturitas.2019; 128: 36.     CrossRef
  • Cardiac self-efficacy and quality of life in patients with coronary heart disease: a cross-sectional study from Palestine
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    BMC Cardiovascular Disorders.2019;[Epub]     CrossRef
  • Factors related to the Identification of Middle-Aged Women Who are Disadvantaged by Cardio-cerebrovascular Disease
    Moon Jung Kang, Jee Seon Yi, Chang Seung Park
    Korean Journal of Women Health Nursing.2018; 24(2): 185.     CrossRef
  • Association between CHADS2 score, depressive symptoms, and quality of life in a general population
    Guo-Zhe Sun, Ning Ye, Nai-Jin Zhang, Yuan Li, Shuang Chen, Ye Chang, Zhao Li, Ying-Xian Sun
    BMC Psychiatry.2017;[Epub]     CrossRef
  • The impact of weight misperception on health-related quality of life in Korean adults (KNHANES 2007–2014): a community-based cross-sectional study
    Susan Park, Sejin Lee, Jinseub Hwang, Jin-Won Kwon
    BMJ Open.2017; 7(6): e016098.     CrossRef
  • Valoración del control de los factores de riesgo cardiovascular en mujeres menopáusicas obesas tras el seguimiento de un programa estructurado de educación dietética y ejercicio físico. (Programa SÍSIFO)
    Z.M. García Soto, S. Montoro García, M. Leal Hernández, J. Abellán Alemán
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  • Impact of Menopausal Status, Metabolic Syndrome and its Risk Factors on Impaired Quality of Life above Middle-aged Women
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    Korean Journal of Women Health Nursing.2016; 22(4): 275.     CrossRef
  • 6,195 View
  • 59 Download
  • 29 Web of Science
  • 30 Crossref
Factors Associated with Fatigue in Korean Gastric Cancer Survivors
Wan Park, Jung-Kwon Lee, Cho-Rong Kim, Jin-Young Shin
Korean J Fam Med 2015;36(6):328-334.   Published online November 20, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.6.328
Background

Gastric cancer is the second most common cancer in Korea. Fatigue is a common symptom among cancer survivors. The aim of this study was to identify factors associated with fatigue in gastric cancer survivors.

Methods

Data were analyzed from 199 gastric cancer survivors who visited a cancer survivor outpatient clinic from July 2013 to June 2014. Patients were surveyed using a questionnaire containing a fatigue severity scale (FSS) and questions regarding associated symptoms. Participants were divided into fatigue (FSS) and non-fatigue groups based on FSS scores (≥4 and <4, respectively). Age, sex, weight, body mass index, cancer stage, pathology, surgery type, chemotherapy, radiotherapy, comorbid disease, family history of cancer, smoking, alcohol consumption, exercise, and laboratory results were investigated.

Results

The fatigue and non-fatigue groups contained 42 and 157 survivors, respectively. Their mean age was 58 years, and the mean post-operative period was 6.58 years. Arthralgia (odds ratio [OR], 12.95; 95% confidence interval [CI], 3.21-52.34), dyspnea (OR, 10.54; 95% CI, 2.94-37.80), dyspepsia (OR, 8.26; 95% CI, 2.63-25.96), changed bowel habits (OR, 4.56; 95% CI, 1.09-19.11), anemia (OR, 3.18; 95% CI, 1.26-8.05), and regular exercise (OR, 0.31; 95% CI, 0.12-0.77) were significantly associated with fatigue in gastric cancer survivors, while weight, treatment, and depressive mood were not.

Conclusion

Arthralgia, dyspnea, dyspepsia, bowel habit change, anemia, and regular exercise are associated with fatigue in gastric cancer survivors.

Citations

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  • Associations between cancer-related coping and depressive symptoms in oral cancer patients
    ChunYing Cui, Lie Wang
    BMC Psychology.2025;[Epub]     CrossRef
  • Risk of Metabolic Syndrome and Fatty Liver Diseases in Gastric Cancer Survivors: A Propensity Score-Matched Analysis
    Sang Jo Han, Su Jung Baik, Young Hoon Yoon, Jie Hyun Kim, Hye Sun Lee, Soyoung Jeon, Hyojin Park
    The Korean Journal of Gastroenterology.2023; 81(4): 154.     CrossRef
  • Symptomatic Features and Factors Associated With Do-Not-Resuscitate Consent in Advanced Cancer Patients Admitted to Palliative Care Ward
    Rongrong Fan, Siyu Yang, Xiaofan Bu, Yongyi Chen, Ying Wang, Boyong Shen, Cuiling Qiu, Xuying Li
    American Journal of Hospice and Palliative Medicine®.2022; 39(11): 1312.     CrossRef
  • Relationship Between Symptom Distress and Fatigue Characteristics in Patients with Gastric Cancer During 1 Month after Gastrectomy
    Hui-Ying Yang, Yun-Hsiang Lee, Jin-Ming Wu, I-Rue Lai, Shiow-Ching Shun
    Clinical Nursing Research.2022; 31(3): 463.     CrossRef
  • Effects of physical activity on quality of life and physical function in postoperative patients with gastrointestinal cancer
    Masaya KAJINO, Eiki TSUSHIMA
    Physical Therapy Research.2021; 24(1): 43.     CrossRef
  • Common and Co-Occurring Symptoms Experienced by Patients With Gastric Cancer
    Yufen Lin, Sharron Docherty, Laura Porter, Donald Bailey
    Oncology Nursing Forum.2020; 47(2): 187.     CrossRef
  • Quality of life in long-term survivors of advanced melanoma treated with checkpoint inhibitors
    Maha Mamoor, Michael A Postow, Jessica A Lavery, Shrujal S Baxi, Niloufer Khan, Jun J Mao, Lauren J Rogak, Robert Sidlow, Bridgette Thom, Jedd A Wolchok, Deborah Korenstein
    Journal for ImmunoTherapy of Cancer.2020; 8(1): e000260.     CrossRef
  • Symptom experience and self-management for multiple co-occurring symptoms in patients with gastric cancer: A qualitative study
    Yufen Lin, Sharron L. Docherty, Laura S. Porter, Donald E. Bailey
    European Journal of Oncology Nursing.2020; 49: 101860.     CrossRef
  • Cancer Survivorship in Primary Care
    Jihun Kang, Eun Ju Park, Jungkwon Lee
    Korean Journal of Family Medicine.2019; 40(6): 353.     CrossRef
  • Resilience and positive affect contribute to lower cancer‐related fatigue among Chinese patients with gastric cancer
    Guiyuan Zou, Ye Li, Ruicai Xu, Ping Li
    Journal of Clinical Nursing.2018;[Epub]     CrossRef
  • Validation of the Amharic Version of the Brief Fatigue Inventory for Assessment of Cancer-Related Fatigue in Ethiopian Cancer Patients
    Girma Tekle Gebremariam, Abel Tesfaye Anshabo, Wondemagegnhu Tigeneh, Ephrem Engidawork
    Journal of Pain and Symptom Management.2018; 56(2): 264.     CrossRef
  • 4,835 View
  • 53 Download
  • 10 Web of Science
  • 11 Crossref
Validation of the Prognosis in Palliative Care Study Predictor Models in Terminal Cancer Patients
Eun-Shin Kim, Jung-Kwon Lee, Mi-Hyun Kim, Hye-Mi Noh, Yeong-Hyeon Jin
Korean J Fam Med 2014;35(6):283-294.   Published online November 21, 2014
DOI: https://doi.org/10.4082/kjfm.2014.35.6.283
Background

Prognosis in Palliative Care Study (PiPS) predictor models were developed in 2011 to estimate the survival of terminal cancer patients in the United Kingdom. The aim of this study was to validate the PiPS model for terminal cancer patients in Korea, and evaluate its value in clinical practice.

Methods

This study included 202 advanced cancer patients who were admitted to the cancer hospital's palliative care ward from November 2011 to February 2013. On admission, physicians recorded the PiPS-A, PiPS-B, and doctor's survival estimates in inpatients.

Results

The median survival across PiPS-A categories was 9, 28, and 33 days, and the median survival across PiPS-B was 9.5, 27, and 43 days. The median actual survival was 25 days; overall accuracy between the PiPS-A, PiPS-B, doctor's estimates of survival, and actual survival was 52.0%, 49.5%, and 46.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'days' showed a sensitivity of 48.4% and 64.1%, and specificity of 87.7%, and 77.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'weeks' showed a sensitivity of 59.2%, and 44.7%, and specificity of 61.6%, and 64.7%, respectively. The PiPS-A and PiPS-B 'months' group showed a sensitivity of 37.1% and 37.1%, and specificity of 74.9% and 78.4%, respectively. The 'weeks' and 'months' groups showed significantly prolonged survival rates than 'days' group did in both PiPS-A and PiPS-B, by the Kaplan-Meier method.

Conclusion

The PiPS predictor models effectively predicted the survival ≥14 days in terminal cancer patients, and were superior to doctor's estimates.

Citations

Citations to this article as recorded by  
  • Validation of the prognostic model for palliative radiotherapy in older patients with cancer
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  • Prognosis palliative care study, palliative prognostic index, palliative prognostic score and objective prognostic score in advanced cancer: a prospective comparison
    Seung Hun Lee, Jeong Gyu Lee, Young Jin Choi, Young Mi Seol, Hyojeong Kim, Yun Jin Kim, Yu Hyeon Yi, Young Jin Tak, Gyu Lee Kim, Young Jin Ra, Sang Yeoup Lee, Young Hye Cho, Eun Ju Park, Youngin Lee, Jungin Choi, Sae Rom Lee, Ryuk Jun Kwon, Soo Min Son
    BMJ Supportive & Palliative Care.2024; 14(e1): e1016.     CrossRef
  • Malignancy-related ascites in palliative care units: prognostic factor analysis
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    BMJ Supportive & Palliative Care.2023; 13(e3): e1292.     CrossRef
  • Das LUEBECKER-Modell in der Palliativmedizin
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    Im Fokus Onkologie.2022; 25(3): 21.     CrossRef
  • Imminent death: clinician certainty and accuracy of prognostic predictions
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    BMJ Supportive & Palliative Care.2022; 12(e6): e785.     CrossRef
  • Onkologische Systemtherapie bei Palliativpatienten: Beendigung oder Fortführung?
    Jorge Riera Knorrenschild
    TumorDiagnostik & Therapie.2021; 42(02): 105.     CrossRef
  • The Prognosis in Palliative care Study II (PiPS2): A prospective observational validation study of a prognostic tool with an embedded qualitative evaluation
    P. C. Stone, A. Kalpakidou, C. Todd, J. Griffiths, V. Keeley, K. Spencer, P. Buckle, D. Finlay, V. Vickerstaff, R. Z. Omar, Tim Luckett
    PLOS ONE.2021; 16(4): e0249297.     CrossRef
  • Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study
    Patrick Stone, Anastasia Kalpakidou, Chris Todd, Jane Griffiths, Vaughan Keeley, Karen Spencer, Peter Buckle, Dori-Anne Finlay, Victoria Vickerstaff, Rumana Z Omar
    Health Technology Assessment.2021; 25(28): 1.     CrossRef
  • Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients
    Tien Yun Yang, Pin-Yu Kuo, Yaoru Huang, Hsiao-Wei Lin, Shwetambara Malwade, Long-Sheng Lu, Lung-Wen Tsai, Shabbir Syed-Abdul, Chia-Wei Sun, Jeng-Fong Chiou
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Validation of the Palliative Prognostic Index, Performance Status–Based Palliative Prognostic Index and Chinese Prognostic Scale in a home palliative care setting for patients with advanced cancer in China
    Jun Zhou, Sitao Xu, Ziye Cao, Jing Tang, Xiang Fang, Ling Qin, Fangping Zhou, Yuzhen He, Xueren Zhong, Mingcai Hu, Yan Wang, Fengjuan Lu, Yongzheng Bao, Xiangheng Dai, Qiang Wu
    BMC Palliative Care.2020;[Epub]     CrossRef
  • A non-lab nomogram of survival prediction in home hospice care patients with gastrointestinal cancer
    Muqing Wang, Xubin Jing, Weihua Cao, Yicheng Zeng, Chaofen Wu, Weilong Zeng, Wenxia Chen, Xi Hu, Yanna Zhou, Xianbin Cai
    BMC Palliative Care.2020;[Epub]     CrossRef
  • PALLIA‐10, a screening tool to identify patients needing palliative care referral in comprehensive cancer centers: A prospective multicentric study (PREPA‐10)
    Yann Molin, Caroline Gallay, Julien Gautier, Audrey Lardy‐Cleaud, Romaine Mayet, Marie‐Christine Grach, Gérard Guesdon, Géraldine Capodano, Olivier Dubroeucq, Carole Bouleuc, Nathalie Bremaud, Anne Fogliarini, Aline Henry, Nathalie Caunes‐Hilary, Stéphani
    Cancer Medicine.2019; 8(6): 2950.     CrossRef
  • Experiences and Opinions Related to End-of-Life Discussion: From Oncologists' and Resident Physicians' Perspectives
    Su-Jin Koh, Shinmi Kim, JinShil Kim, Bhumsuk Keam, Dae Seog Heo, Kyung Hee Lee, Bong-Seog Kim, Jee Hyun Kim, Hye Jung Chang, Sun Kyung Baek
    Cancer Research and Treatment.2018; 50(2): 614.     CrossRef
  • Effects of a new medical insurance payment system for hospice patients in palliative care programs in Korea
    Youngin Lee, Seung Hun Lee, Yun Jin Kim, Sang Yeoup Lee, Jeong Gyu Lee, Dong Wook Jeong, Yu Hyeon Yi, Young Jin Tak, Hye Rim Hwang, Mieun Gwon
    BMC Palliative Care.2018;[Epub]     CrossRef
  • The Prognosis in Palliative care Study II (PiPS2): study protocol for a multi-centre, prospective, observational, cohort study
    Anastasia K. Kalpakidou, Chris Todd, Vaughan Keeley, Jane Griffiths, Karen Spencer, Victoria Vickerstaff, Rumana Z. Omar, Patrick Stone
    BMC Palliative Care.2018;[Epub]     CrossRef
  • Integration of oncology and palliative care: a Lancet Oncology Commission
    Stein Kaasa, Jon H Loge, Matti Aapro, Tit Albreht, Rebecca Anderson, Eduardo Bruera, Cinzia Brunelli, Augusto Caraceni, Andrés Cervantes, David C Currow, Luc Deliens, Marie Fallon, Xavier Gómez-Batiste, Kjersti S Grotmol, Breffni Hannon, Dagny F Haugen, I
    The Lancet Oncology.2018; 19(11): e588.     CrossRef
  • Prediction of Patient Discharge Status Based on Indicators on Admission
    Sung-In Chung, Seung Hun Lee, Yun-Jin Kim, Sang-Yeoup Lee, Jeong-Gyu Lee, Yu-Hyeon Yi, Young-Hye Cho, Young-Jin Tak, Hye-Rim Hwang, Eun-Ju Park, Kyung-Mi Kim
    The Korean Journal of Hospice and Palliative Care.2018; 21(3): 75.     CrossRef
  • Prognostic Tools in Patients With Advanced Cancer: A Systematic Review
    Claribel P.L. Simmons, Donald C. McMillan, Kerry McWilliams, Tonje A. Sande, Kenneth C. Fearon, Sharon Tuck, Marie T. Fallon, Barry J. Laird
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    PLOS ONE.2017; 12(4): e0175123.     CrossRef
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    European Journal of Cancer.2015; 51(12): 1618.     CrossRef
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