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Cardiovascular Health Metrics and All-cause and Cardiovascular Disease Mortality Among Middle-aged Men in Korea: The Seoul Male Cohort Study
Ji Young Kim, Young-Jin Ko, Chul Woo Rhee, Byung-Joo Park, Dong-Hyun Kim, Jong-Myon Bae, Myung-Hee Shin, Moo-Song Lee, Zhong Min Li, Yoon-Ok Ahn
J Prev Med Public Health. 2013;46(6):319-328.   Published online November 28, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.6.319
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  • 54 Crossref
AbstractAbstract PDF
Objectives

This study estimated the association of cardiovascular health behaviors with the risk of all-cause and cardiovascular disease (CVD) mortality in middle-aged men in Korea.

Methods

In total, 12 538 men aged 40 to 59 years were enrolled in 1993 and followed up through 2011. Cardiovascular health metrics defined the following lifestyle behaviors proposed by the American Heart Association: smoking, physical activity, body mass index, diet habit score, total cholesterol, blood pressure, and fasting blood glucose. The cardiovascular health metrics score was calculated as a single categorical variable, by assigning 1 point to each ideal healthy behavior. A Cox proportional hazards regression model was used to estimate the hazard ratio of cardiovascular health behavior. Population attributable risks (PARs) were calculated from the significant cardiovascular health metrics.

Results

There were 1054 total and 171 CVD deaths over 230 690 person-years of follow-up. The prevalence of meeting all 7 cardiovascular health metrics was 0.67%. Current smoking, elevated blood pressure, and high fasting blood glucose were significantly associated with all-cause and CVD mortality. The adjusted PARs for the 3 significant metrics combined were 35.2% (95% confidence interval [CI], 21.7 to 47.4) and 52.8% (95% CI, 22.0 to 74.0) for all-cause and CVD mortality, respectively. The adjusted hazard ratios of the groups with a 6-7 vs. 0-2 cardiovascular health metrics score were 0.42 (95% CI, 0.31 to 0.59) for all-cause mortality and 0.10 (95% CI, 0.03 to 0.29) for CVD mortality.

Conclusions

Among cardiovascular health behaviors, not smoking, normal blood pressure, and recommended fasting blood glucose levels were associated with reduced risks of all-cause and CVD mortality. Meeting a greater number of cardiovascular health metrics was associated with a lower risk of all-cause and CVD mortality.

Summary

Citations

Citations to this article as recorded by  
  • Ideal cardiovascular health and cardiovascular-related events: a systematic review and meta-analysis
    Femke te Hoonte, Merve Spronk, Qi Sun, Kangrui Wu, Shiqi Fan, Ziyi Wang, Michiel L Bots, Yvonne T Van der Schouw, Alicia Uijl, Robin W M Vernooij
    European Journal of Preventive Cardiology.2024; 31(8): 966.     CrossRef
  • Parent–Offspring Associations of Ideal Cardiovascular Health Metrics: Findings From the 2014 to 2021 Korea National Health and Nutrition Examination Survey
    Manh Thang Hoang, Sun Jae Jung, Hokyou Lee, Hyeon Chang Kim
    Journal of the American Heart Association.2024;[Epub]     CrossRef
  • Dietary Patterns and Cardiovascular Diseases in Asia: A Systematic Review and Meta-Analysis
    Gladys Huiyun Lim, Nithya Neelakantan, Yu Qi Lee, Su Hyun Park, Zhi Heng Kor, Rob M van Dam, Mary Foong-Fong Chong, Airu Chia
    Advances in Nutrition.2024; 15(7): 100249.     CrossRef
  • Ideal cardiovascular health and risk of death in a large Swedish cohort
    Lijie Ding, Marta Ponzano, Alessandra Grotta, Hans-Olov Adami, Fuzhong Xue, Ylva Trolle Lagerros, Rino Bellocco, Weimin Ye
    BMC Public Health.2024;[Epub]     CrossRef
  • Risk of all-cause mortality is associated with multiple health-related lifestyle behaviors and does not differ between urban and rural areas in Korea
    Seunghee Kim, Clara Yongjoo Park
    Nutrition Research and Practice.2024; 18(4): 554.     CrossRef
  • Ideal cardiovascular health and mortality: pooled results of three prospective cohorts in Chinese adults
    Yanbo Zhang, Canqing Yu, Shuohua Chen, Zhouzheng Tu, Mengyi Zheng, Jun Lv, Guodong Wang, Yan Liu, Jiaxin Yu, Yu Guo, Ling Yang, Yiping Chen, Kunquan Guo, Kun Yang, Handong Yang, Yanfeng Zhou, Yiwen Jiang, Xiaomin Zhang, Meian He, Gang Liu, Zhengming Chen,
    Chinese Medical Journal.2023;[Epub]     CrossRef
  • Ideal cardiovascular health and all-cause or cardiovascular mortality in a longitudinal study of the Thai National Health Examination Survey IV and V
    Wichai Aekplakorn, Nareemarn Neelapaichit, Suwat Chariyalertsak, Pattapong Kessomboon, Sawitri Assanangkornchai, Surasak Taneepanichskul, Somkiat Sangwatanaroj, Wasin Laohavinij, Jiraluck Nonthaluck
    Scientific Reports.2023;[Epub]     CrossRef
  • Life's Essential 8 and 10-Year and Lifetime Risk of Atherosclerotic Cardiovascular Disease in China
    Cheng Jin, Jianxin Li, Fangchao Liu, Xia Li, Ying Hui, Shouhua Chen, Furong Li, Gang Wang, Fengchao Liang, Xiangfeng Lu, Shouling Wu, Dongfeng Gu
    American Journal of Preventive Medicine.2023; 64(6): 927.     CrossRef
  • Vasomotor and other menopause symptoms and the prevalence of ideal cardiovascular health metrics among premenopausal stage women
    Hye Rin Choi, Yoosoo Chang, Yejin Kim, Yoosun Cho, Min-Jung Kwon, Jeonggyu Kang, Ria Kwon, Ga-Young Lim, Kye-Hyun Kim, Hoon Kim, Yun Soo Hong, Jihwan Park, Di Zhao, Juhee Cho, Eliseo Guallar, Hyun-Young Park, Seungho Ryu
    Menopause.2023; 30(7): 750.     CrossRef
  • Ideal Cardiovascular Health and Risk of Cardiovascular Events or Mortality: A Systematic Review and Meta-Analysis of Prospective Studies
    Milan Radovanovic, Janko Jankovic, Stefan Mandic-Rajcevic, Igor Dumic, Richard D. Hanna, Charles W. Nordstrom
    Journal of Clinical Medicine.2023; 12(13): 4417.     CrossRef
  • Time spent in a better cardiovascular health and risk of cardiovascular diseases and mortality: a prospective cohort study
    Qiuyue Tian, Shuohua Chen, Xiaoni Meng, Haotian Wang, Cancan Li, Deqiang Zheng, Lijuan Wu, Aitian Wang, Shouling Wu, Youxin Wang
    Journal of Translational Medicine.2023;[Epub]     CrossRef
  • Adding Estimated Cardiorespiratory Fitness to the Framingham Risk Score and Mortality Risk in a Korean Population-Based Cohort Study
    Inhwan Lee, Jeonghyeon Kim, Hyunsik Kang
    International Journal of Environmental Research and Public Health.2022; 19(1): 510.     CrossRef
  • Ideal Cardiovascular Health Metrics and Risk of Incident Early-Onset Vasomotor Symptoms Among Premenopausal Women
    Hye Rin Choi, Yoosoo Chang, Yejin Kim, Yoosun Cho, Jeonggyu Kang, Min-Jung Kwon, Ria Kwon, Ga-Young Lim, Kye-Hyun Kim, Hoon Kim, Yun Soo Hong, Jihwan Park, Di Zhao, Juhee Cho, Eliseo Guallar, Hyun-Young Park, Seungho Ryu
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(9): 2666.     CrossRef
  • Ideal Cardiovascular Health: Distribution, Determinants and Relationship with Health Status among People Living with HIV in Urban Tanzania
    Theresia A. Ottaru, Gideon P. Kwesigabo, Zeeshan Butt, Adovich S. Rivera, Pilly Chillo, Helen Siril, Lisa R. Hirschhorn, Matthew J. Feinstein, Claudia Hawkins
    Global Heart.2022; 17(1): 74.     CrossRef
  • Spousal concordance of ideal cardiovascular health metrics: findings from the 2014–2019 Korea National Health and Nutrition Examination Survey
    Manh Thang Hoang, Hokyou Lee, Hyeon Chang Kim
    Clinical Hypertension.2022;[Epub]     CrossRef
  • Further understanding of ideal cardiovascular health score metrics and cardiovascular disease
    Erin D. Michos, Sadiya S. Khan
    Expert Review of Cardiovascular Therapy.2021; 19(7): 607.     CrossRef
  • Demographic and socioeconomic inequalities in ideal cardiovascular health: A systematic review and meta-analysis
    Janko Janković, Stefan Mandić-Rajčević, Maša Davidović, Slavenka Janković, Kathleen Finlayson
    PLOS ONE.2021; 16(8): e0255959.     CrossRef
  • Evaluation of Dietary Patterns and All-Cause Mortality
    Laural K. English, Jamy D. Ard, Regan L. Bailey, Marlana Bates, Lydia A. Bazzano, Carol J. Boushey, Clarissa Brown, Gisela Butera, Emily H. Callahan, Janet de Jesus, Richard D. Mattes, Elizabeth J. Mayer-Davis, Rachel Novotny, Julie E. Obbagy, Elizabeth B
    JAMA Network Open.2021; 4(8): e2122277.     CrossRef
  • Comparison of four healthy lifestyle scores for predicting cardiovascular events in a national cohort study
    Ming-Chieh Tsai, Tzu-Lin Yeh, Hsin-Yin Hsu, Le-Yin Hsu, Chun-Chuan Lee, Po-Jung Tseng, Kuo-Liong Chien
    Scientific Reports.2021;[Epub]     CrossRef
  • Association of the Duration of Ideal Cardiovascular Health Through Adulthood With Cardiometabolic Outcomes and Mortality in the Framingham Offspring Study
    Laura Corlin, Meghan I. Short, Ramachandran S. Vasan, Vanessa Xanthakis
    JAMA Cardiology.2020; 5(5): 549.     CrossRef
  • Cardiovascular health metrics and all-cause mortality and mortality from major non-communicable chronic diseases among Chinese adult population
    Bixia Gao, Fang Wang, Ming Zhu, Jinwei Wang, Maigeng Zhou, Luxia Zhang, Minghui Zhao
    International Journal of Cardiology.2020; 313: 123.     CrossRef
  • Lifestyle risk score and mortality in Korean adults: a population-based cohort study
    Dong Hoon Lee, Jin Young Nam, Sohyeon Kwon, NaNa Keum, Jong-Tae Lee, Min-Jeong Shin, Hannah Oh
    Scientific Reports.2020;[Epub]     CrossRef
  • Cardiovascular Health and Stroke in Older British Men
    Ayesha Ahmed, Snehal M. Pinto Pereira, Lucy Lennon, Olia Papacosta, Peter Whincup, Goya Wannamethee
    Stroke.2020; 51(11): 3286.     CrossRef
  • Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults
    Mei Zhang, Yu Shi, Oumin Shi, Zhenping Zhao, Xiao Zhang, Chun Li, Zhengjing Huang, Liyun Zhao, Limin Wang, Yichong Li, Xinhua Li
    The Lancet Regional Health - Western Pacific.2020; 3: 100033.     CrossRef
  • Patterns of change in cardiovascular risks of Korean male workers: a 10-year cohort analysis using the National Health Insurance Service–National Sample Cohort (NHIS-NSC) 2.0 database
    Hosihn Ryu, Jiyeon Jung, Jihyun Moon
    BMJ Open.2020; 10(11): e038446.     CrossRef
  • Ideal Cardiovascular Health Status and Risk of Cardiovascular Disease or All-Cause Mortality in Chinese Middle-Aged Population
    Ying Dong, Guang Hao, Zengwu Wang, Xin Wang, Zuo Chen, Linfeng Zhang
    Angiology.2019; 70(6): 523.     CrossRef
  • Status of cardiovascular health in the Republic of Serbia: Results from the National Health Survey
    Janko Janković, Maša Davidović, Vesna Bjegović-Mikanović, Slavenka Janković, Olivia Manfrini
    PLOS ONE.2019; 14(3): e0214505.     CrossRef
  • Low levels of ideal cardiovascular health in a semi-urban population of Western Nepal: a population-based, cross-sectional study
    Bishal Gyawali, Shiva Raj Mishra, Salim S Virani, Per Kallestrup
    Heart Asia.2019; 11(1): e011131.     CrossRef
  • Lifestyle Risk Factors and All-Cause and Cardiovascular Disease Mortality: Data from the Korean Longitudinal Study of Aging
    Inhwan Lee, Shinuk Kim, Hyunsik Kang
    International Journal of Environmental Research and Public Health.2019; 16(17): 3040.     CrossRef
  • Aspirin for Primary Prevention of Cardiovascular Disease
    Ji Hye Kim, Min Jung Shim, So-Young Lee, Jisu Oh, Sang Hoon Kim
    Journal of Lipid and Atherosclerosis.2019; 8(2): 162.     CrossRef
  • Optimal information networks: Application for data-driven integrated health in populations
    Joseph L. Servadio, Matteo Convertino
    Science Advances.2018;[Epub]     CrossRef
  • Ideal cardiovascular health and incidence of atherosclerotic cardiovascular disease among Chinese adults: the China-PAR project
    Chao Han, Fangchao Liu, Xueli Yang, Jichun Chen, Jianxin Li, Jie Cao, Ying Li, Chong Shen, Ling Yu, Zhendong Liu, Xianping Wu, Liancheng Zhao, Dongshen Hu, Xiangfeng Lu, Xigui Wu, Dongfeng Gu
    Science China Life Sciences.2018; 61(5): 504.     CrossRef
  • Life's Simple 7 and the risk of atrial fibrillation: The Multi-Ethnic Study of Atherosclerosis
    Oluseye Ogunmoroti, Erin D. Michos, Konstantinos N. Aronis, Joseph A. Salami, Ron Blankstein, Salim S. Virani, Erica S. Spatz, Norrina B. Allen, Jamal S. Rana, Roger S. Blumenthal, Emir Veledar, Moyses Szklo, Michael J. Blaha, Khurram Nasir
    Atherosclerosis.2018; 275: 174.     CrossRef
  • Prevalence of the cardiovascular health status in adults: A systematic review and meta-analysis
    Y. Peng, S. Cao, Z. Yao, Z. Wang
    Nutrition, Metabolism and Cardiovascular Diseases.2018; 28(12): 1197.     CrossRef
  • Low Prevalence of AHA-Defined Ideal Cardiovascular Health Factors: A Study of Urban Indian Men and Women
    Balkishan Gupta, Rajeev Gupta, Krishna K. Sharma, Arvind Gupta, Tulika G. Mahanta, Prakash C. Deedwania
    Global Heart.2017; 12(3): 219.     CrossRef
  • Ideal cardiovascular health is associated with self-rated health status. The Polish Norwegian Study (PONS)
    Marta Manczuk, Georgeta Vaidean, Mahshid Dehghan, Rajesh Vedanthan, Paolo Boffetta, Witold A. Zatonski
    International Journal of Cardiology.2017; 230: 549.     CrossRef
  • Favorable Cardiovascular Health Is Associated With Lower Health Care Expenditures and Resource Utilization in a Large US Employee Population
    Chukwuemeka U. Osondu, Ehimen C. Aneni, Javier Valero-Elizondo, Joseph A. Salami, Maribeth Rouseff, Sankalp Das, Henry Guzman, Adnan Younus, Oluseye Ogunmoroti, Theodore Feldman, Arthur S. Agatston, Emir Veledar, Barry Katzen, Chris Calitz, Eduardo Sanche
    Mayo Clinic Proceedings.2017; 92(4): 512.     CrossRef
  • High Level Physical Activity and Prevalence of Cardiovascular Disease Using the Korea National Health and Nutrition Examination Survey Data, 2007-2013
    Kyounghoon Park, Byung-Joo Park
    Journal of Preventive Medicine and Public Health.2017; 50(5): 320.     CrossRef
  • Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta‐analysis of prospective studies
    Leilei Guo, Shangshu Zhang
    Clinical Cardiology.2017; 40(12): 1339.     CrossRef
  • Life's Simple 7 and Incident Heart Failure: The Multi‐Ethnic Study of Atherosclerosis
    Oluseye Ogunmoroti, Ebenezer Oni, Erin D. Michos, Erica S. Spatz, Norrina B. Allen, Jamal S. Rana, Salim S Virani, Ron Blankstein, Konstantinos N. Aronis, Roger S. Blumenthal, Emir Veledar, Moyses Szklo, Michael J. Blaha, Khurram Nasir
    Journal of the American Heart Association.2017;[Epub]     CrossRef
  • Estimates of Mortality Benefit From Ideal Cardiovascular Health Metrics: A Dose Response Meta‐Analysis
    Ehimen C. Aneni, Alessio Crippa, Chukwuemeka U. Osondu, Javier Valero‐Elizondo, Adnan Younus, Khurram Nasir, Emir Veledar
    Journal of the American Heart Association.2017;[Epub]     CrossRef
  • Traditional Risk Factors of Acute Coronary Syndrome in Four Different Male Populations – Total Cholesterol Value Does Not Seem To Be Relevant Risk Factor
    J. A. HUBACEK, V. STANEK, M. GEBAUEROVA, V. ADAMKOVA, V. LESAUSKAITE, D. ZALIADUONYTE-PEKSIENE, A. TAMOSIUNAS, A. SUPIYEV, A. KOSSUMOV, A. ZHUMADILOVA, J. PITHA
    Physiological Research.2017; : S121.     CrossRef
  • Association of Life's Simple 7 and presence of cardiovascular disease in general Australians
    Yang Peng, Zhiqiang Wang
    Open Heart.2017; 4(2): e000622.     CrossRef
  • A Systematic Review of the Prevalence and Outcomes of Ideal Cardiovascular Health in US and Non-US Populations
    Adnan Younus, Ehimen C. Aneni, Erica S. Spatz, Chukwuemeka U. Osondu, Lara Roberson, Oluseye Ogunmoroti, Rehan Malik, Shozab S. Ali, Muhammad Aziz, Theodore Feldman, Salim S. Virani, Wasim Maziak, Arthur S. Agatston, Emir Veledar, Khurram Nasir
    Mayo Clinic Proceedings.2016; 91(5): 649.     CrossRef
  • Ideal cardiovascular health metrics and risk of cardiovascular disease or mortality: A meta-analysis
    Na Fang, Menglin Jiang, Yu Fan
    International Journal of Cardiology.2016; 214: 279.     CrossRef
  • Ideal Cardiovascular Health Metrics and Incident Hyperuricemia
    Zheng Li, Lingmin Meng, Zhe Huang, Liufu Cui, Weijuan Li, Jingsheng Gao, Zhanqi Wang, Rui Zhang, Jing Zhou, Ge Zhang, Shuohua Chen, Xiaoming Zheng, Hongliang Cong, Xiang Gao, Shouling Wu
    Arthritis Care & Research.2016; 68(5): 660.     CrossRef
  • Association between ideal cardiovascular health and the atherogenic index of plasma
    Shiwei Shen, Yun Lu, Huajin Qi, Feng Li, Zhenhai Shen, Liuxin Wu, Chengjian Yang, Ling Wang, Kedong Shui, Yaping Wang, Dongchang Qiang, Jingting Yun, Xiaofeng Weng
    Medicine.2016; 95(24): e3866.     CrossRef
  • Prevalence and distribution of ideal cardiovascular health metrics and association with metabolic syndrome in Japanese male workers
    Masao Kanauchi, Kimiko Kanauchi
    International Journal of Cardiology.2016; 221: 428.     CrossRef
  • Changes in Cardiovascular Health Status and the Risk of New-Onset Hypertension in Kailuan Cohort Study
    Fei Gao, Xiaoxue Liu, Xizhu Wang, Shouhua Chen, Jihong Shi, Ying Zhang, Shouling Wu, Jun Cai, Vincenzo Lionetti
    PLOS ONE.2016; 11(7): e0158869.     CrossRef
  • Association Between Life's Simple 7 and Noncardiovascular Disease: The Multi‐Ethnic Study of Atherosclerosis
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    Journal of the American Heart Association.2016;[Epub]     CrossRef
  • Comparison of Prevalence- and Smoking Impact Ratio-Based Methods of Estimating Smoking-Attributable Fractions of Deaths
    Kyoung Ae Kong, Kyung-Hee Jung-Choi, Dohee Lim, Hye Ah Lee, Won Kyung Lee, Sun Jung Baik, Su Hyun Park, Hyesook Park
    Journal of Epidemiology.2016; 26(3): 145.     CrossRef
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    Journal of the American College of Cardiology.2015; 65(10): 1013.     CrossRef
  • Understanding and Improving Cardiovascular Health: An Update on the American Heart Association's Concept of Cardiovascular Health
    Christina M. Shay, Holly S. Gooding, Rosenda Murillo, Randi Foraker
    Progress in Cardiovascular Diseases.2015; 58(1): 41.     CrossRef
  • Prevalência de saúde cardiovascular ideal na população brasileira - Pesquisa Nacional de Saúde (2013)
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    Revista Brasileira de Epidemiologia.2015; 18(suppl 2): 97.     CrossRef
Impact of Individual and Combined Health Behaviors on All Causes of Premature Mortality Among Middle Aged Men in Korea: The Seoul Male Cohort Study
Chul Woo Rhee, Ji Young Kim, Byung Joo Park, Zhong Min Li, Yoon-Ok Ahn
J Prev Med Public Health. 2012;45(1):14-20.   Published online January 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.1.14
  • 11,198 View
  • 112 Download
  • 20 Crossref
AbstractAbstract PDF
Objectives

The aim of this study was to evaluate and quantify the risk of both individual and combined health behaviors on premature mortality in middle aged men in Korea.

Methods

In total, 14 533 male subjects 40 to 59 years of age were recruited. At enrollment, subjects completed a baseline questionnaire, which included information about socio-demographic factors, past medical history, and life style. During the follow-up period from 1993 to 2008, we identified 990 all-cause premature deaths using national death certificates. A Cox proportional hazard regression model was used to estimate the hazard ratio (HR) of each health risk behavior, which included smoking, drinking, physical inactivity, and lack of sleep hours. Using the Cox model, each health behavior was assigned a risk score proportional to its regression coefficient value. Health risk scores were calculated for each patient and the HR of all-cause premature mortality was calculated according to risk score.

Results

Current smoking and drinking, high body mass index, less sleep hours, and less education were significantly associated with all-cause premature mortality, while regular exercise was associated with a reduced risk. When combined by health risk score, there was a strong trend for increased mortality risk with increased score (p-trend < 0.01). When compared with the 1-9 score group, HRs of the 10-19 and 20-28 score groups were 2.58 (95% confidence intervals [CIs], 2.19 to 3.03) and 7.09 (95% CIs, 5.21 to 9.66), respectively.

Conclusions

Modifiable risk factors, such as smoking, drinking, and regular exercise, have considerable impact on premature mortality and should be assessed in combination.

Summary

Citations

Citations to this article as recorded by  
  • Non-occupational physical activity and risk of cardiovascular disease, cancer and mortality outcomes: a dose–response meta-analysis of large prospective studies
    Leandro Garcia, Matthew Pearce, Ali Abbas, Alexander Mok, Tessa Strain, Sara Ali, Alessio Crippa, Paddy C Dempsey, Rajna Golubic, Paul Kelly, Yvonne Laird, Eoin McNamara, Samuel Moore, Thiago Herick de Sa, Andrea D Smith, Katrien Wijndaele, James Woodcock
    British Journal of Sports Medicine.2023; 57(15): 979.     CrossRef
  • Coffee and tea consumption and mortality from all causes, cardiovascular disease and cancer: a pooled analysis of prospective studies from the Asia Cohort Consortium
    Sangah Shin, Jung Eun Lee, Erikka Loftfield, Xiao-Ou Shu, Sarah Krull Abe, Md Shafiur Rahman, Eiko Saito, Md Rashedul Islam, Shoichiro Tsugane, Norie Sawada, Ichiro Tsuji, Seiki Kanemura, Yumi Sugawara, Yasutake Tomata, Atsuko Sadakane, Kotaro Ozasa, Isao
    International Journal of Epidemiology.2022; 51(2): 626.     CrossRef
  • Association between body mass index and oesophageal cancer mortality: a pooled analysis of prospective cohort studies with >800 000 individuals in the Asia Cohort Consortium
    Sangjun Lee, Jieun Jang, Sarah Krull Abe, Shafiur Rahman, Eiko Saito, Rashedul Islam, Prakash C Gupta, Norie Sawada, Akiko Tamakoshi, Xiao-Ou Shu, Woon-Puay Koh, Atsuko Sadakane, Ichiro Tsuji, Jeongseon Kim, Isao Oze, Chisato Nagata, San-Lin You, Myung-He
    International Journal of Epidemiology.2022; 51(4): 1190.     CrossRef
  • Burden of Cancer Due to Cigarette Smoking and Alcohol Consumption in Korea
    Yoon-Sun Jung, Seok-Jun Yoon
    International Journal of Environmental Research and Public Health.2022; 19(6): 3493.     CrossRef
  • First Report on the Co-Occurrence and Clustering Profiles of Cardiovascular Lifestyle Risk Factors among Adults in Burkina Faso
    Kadari Cissé, Sékou Samadoulougou, Yves Coppieters, Bruno Bonnechère, Patrice Zabsonré, Fati Kirakoya-Samadoulougou, Seni Kouanda
    International Journal of Environmental Research and Public Health.2022; 19(14): 8225.     CrossRef
  • Associations Between Self-Reported Sleep Duration and Mortality in Employed Individuals: Systematic Review and Meta-Analysis
    Paula R. Pienaar, Tracy L. Kolbe-Alexander, Willem van Mechelen, Cécile R. L. Boot, Laura C. Roden, Estelle V. Lambert, Dale E. Rae
    American Journal of Health Promotion.2021; 35(6): 853.     CrossRef
  • Public health nurses’ workforce factors and population health outcomes in the United States
    Seok Hyun Gwon, Young Ik Cho, Soonhwa Paek, Weiming Ke
    Public Health Nursing.2020; 37(6): 829.     CrossRef
  • Patterns of change in cardiovascular risks of Korean male workers: a 10-year cohort analysis using the National Health Insurance Service–National Sample Cohort (NHIS-NSC) 2.0 database
    Hosihn Ryu, Jiyeon Jung, Jihyun Moon
    BMJ Open.2020; 10(11): e038446.     CrossRef
  • Sleep duration and mortality in Korean adults: a population-based prospective cohort study
    Sohyeon Kwon, Hyeyoung Lee, Jong-Tae Lee, Min-Jeong Shin, Sangbum Choi, Hannah Oh
    BMC Public Health.2020;[Epub]     CrossRef
  • Sleep duration and risk of all-cause mortality: a systematic review and meta-analysis
    H. A. García-Perdomo, J. Zapata-Copete, C. A. Rojas-Cerón
    Epidemiology and Psychiatric Sciences.2019; 28(5): 578.     CrossRef
  • Time trends in healthy lifestyle among adults in Germany: Results from three national health interview and examination surveys between 1990 and 2011
    Jonas D. Finger, Markus A. Busch, Christin Heidemann, Cornelia Lange, Gert B. M. Mensink, Anja Schienkiewitz, David Meyre
    PLOS ONE.2019; 14(9): e0222218.     CrossRef
  • Simple sleep questions can predict 12-year mortality in a rural population
    Christina Darviri, Artemios Artemiadis, Xanthi Tigani, Panagiota Darvyri, Charalambos Gnardellis
    Sleep and Biological Rhythms.2018; 16(2): 253.     CrossRef
  • Self‐Reported Sleep Duration and Quality and Cardiovascular Disease and Mortality: A Dose‐Response Meta‐Analysis
    Chun Shing Kwok, Evangelos Kontopantelis, George Kuligowski, Matthew Gray, Alan Muhyaldeen, Christopher P. Gale, George M. Peat, Jacqueline Cleator, Carolyn Chew‐Graham, Yoon Kong Loke, Mamas Andreas Mamas
    Journal of the American Heart Association.2018;[Epub]     CrossRef
  • Sleep duration and risk of all-cause mortality: A flexible, non-linear, meta-regression of 40 prospective cohort studies
    Tong-Zu Liu, Chang Xu, Matteo Rota, Hui Cai, Chao Zhang, Ming-Jun Shi, Rui-Xia Yuan, Hong Weng, Xiang-Yu Meng, Joey S.W. Kwong, Xin Sun
    Sleep Medicine Reviews.2017; 32: 28.     CrossRef
  • Cohort Profile:Ten to Men(the Australian Longitudinal Study on Male Health)
    Jane Pirkis, Dianne Currier, John Carlin, Louisa Degenhardt, Shyamali C. Dharmage, Billie Giles-Corti, Ian R. Gordon, Lyle C. Gurrin, Jane S. Hocking, Anne Kavanagh, Louise Keogh, Rachel Koelmeyer, Anthony D. LaMontagne, George Patton, Lena Sanci, Matthew
    International Journal of Epidemiology.2016; : dyw055.     CrossRef
  • The Australian longitudinal study on male health-methods
    Dianne Currier, Jane Pirkis, John Carlin, Louisa Degenhardt, Shyamali C. Dharmage, Billie Giles-Corti, Ian Gordon, Lyle Gurrin, Jane Hocking, Anne Kavanagh, Louise A. Keogh, Rachel Koelmeyer, Anthony D. LaMontagne, Marisa Schlichthorst, George Patton, Len
    BMC Public Health.2016;[Epub]     CrossRef
  • The relationship between mild alcohol consumption and mortality in Koreans: a systematic review and meta-analysis
    Ji-Eun Park, Tae-young Choi, Yeonhee Ryu, Sung-Il Cho
    BMC Public Health.2015;[Epub]     CrossRef
  • Adverse Lifestyle Leads to an Annual Excess of 2 Million Deaths in China
    G. Neil Thomas, Man Ping Wang, Sai Yin Ho, Kwok Hang Mak, Kar Keung Cheng, Tai Hing Lam, Hamid Reza Baradaran
    PLoS ONE.2014; 9(2): e89650.     CrossRef
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JPMPH : Journal of Preventive Medicine and Public Health
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