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Original Articles
Determinants of Poor Self-rated Health in Korean Adults With Diabetes
Hwi-Won Lee, Minkyo Song, Jae Jeong Yang, Daehee Kang
J Prev Med Public Health. 2015;48(6):287-300.   Published online October 23, 2015
DOI: https://doi.org/10.3961/jpmph.15.048
  • 10,045 View
  • 114 Download
  • 18 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
Self-rated health is a measure of perceived health widely used in epidemiological studies. Our study investigated the determinants of poor self-rated health in middle-aged Korean adults with diabetes.
Methods
A cross-sectional study was conducted based on the Health Examinees Study. A total of 9759 adults aged 40 to 69 years who reported having physician-diagnosed diabetes were analyzed with regard to a range of health determinants, including sociodemographic, lifestyle, psychosocial, and physical variables, in association with self-rated health status using multivariate logistic regression models. A p-value <0.05 was considered to indicate statistical significance.
Results
We found that negative psychosocial conditions, including frequent stress events and severe distress according to the psychosocial well-being index, were most strongly associated with poor self-rated health (odds ratio [OR]Frequent stress events, 5.40; 95% confidence interval [CI], 4.63 to 6.29; ORSevere distress, 11.08; 95% CI, 8.77 to 14.00). Moreover, younger age and being underweight or obese were shown to be associated with poor self-rated health. Physical factors relating to participants’ medical history of diabetes, such as a younger age at diagnosis, a longer duration of diabetes, insulin therapy, hemoglobin A1c levels of 6.5% or more, and comorbidities, were other correlates of poor reported health.
Conclusions
Our findings suggest that, in addition to medical variables, unfavorable socioeconomic factors, and adverse lifestyle behaviors, younger age, being underweight or obese, and psychosocial stress could be distinc factors in predicting negative perceived health status in Korean adults with diabetes.
Summary

Citations

Citations to this article as recorded by  
  • A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus
    Laleh Gharacheh, Mostafa Amini-Rarani, Amin Torabipour, Saeed Karimi
    International Journal of Preventive Medicine.2024;[Epub]     CrossRef
  • Exploring factors associated with self‐rated health in individuals with diabetes and its impact on quality of life: Evidence from the Survey of Health, Ageing, and Retirement in Europe
    Rosa Marie Brückner, Aline Schönenberg, Rebecca Wientzek, Mandy Schreiber, Tino Prell
    Journal of Diabetes.2024;[Epub]     CrossRef
  • Gender Disparities in Healthy Aging: A Cross-National Comparative Study in the United States and South Korea from 2006 to 2016
    Lanlan Chu, Anjelynt Lor, Mary-Genevieve Moisan, Kieu My Phi
    The International Journal of Aging and Human Development.2023; 96(1): 33.     CrossRef
  • People with Diabetes Have Poorer Self-Rated Health (SRH) and Diabetes Moderates the Association between Age and SRH
    Weixi Kang, Antonio Malvaso
    Diseases.2023; 11(2): 73.     CrossRef
  • The Relationship between Self-Perceived Health and Physical Activity in the Mental Health of Korean Cancer Survivors
    Sungjung Kwak, Jieun Shin, Jong-Yeup Kim
    Healthcare.2023; 11(11): 1549.     CrossRef
  • Sleep Duration, Sleep Quality, and Insomnia in Association With Self-Rated Health: A Systematic Review and Meta-Analysis
    Sohrab Amiri
    Sleep Medicine Research.2023; 14(2): 66.     CrossRef
  • Diabetes Moderates the Link between Personality Traits and Self-Rated Health (SRH)
    Weixi Kang
    Healthcare.2023; 11(15): 2149.     CrossRef
  • Low Social Support and Risk for Depression in People With Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis
    Akhmad Azmiardi, Bhisma Murti, Ratih Puspita Febrinasari, Didik Gunawan Tamtomo
    Journal of Preventive Medicine and Public Health.2022; 55(1): 37.     CrossRef
  • Self-rated health and perceived environmental quality in Brunei Darussalam: a cross-sectional study
    Evi Nurvidya Arifin, Chang-Yau Hoon, Ly Slesman, Abby Tan
    BMJ Open.2022; 12(8): e060799.     CrossRef
  • Obesity, Disability and Self-Perceived Health Outcomes in Australian Adults: A Longitudinal Analysis Using 14 Annual Waves of the HILDA Cohort
    Syed Afroz Keramat, Khorshed Alam, Bright Opoku Ahinkorah, Md Sariful Islam, Md Irteja Islam, Md Zobayer Hossain, Sazia Ahmed, Jeff Gow, Stuart JH Biddle
    ClinicoEconomics and Outcomes Research.2021; Volume 13: 777.     CrossRef
  • Factors Associated with Poor Self-Rated Health in Cancer Patients
    Hyo Rim Ju, Ye Rim Jeon, Seo Young Kang, Jung Ah Lee, Young Sik Kim
    Korean Journal of Family Practice.2021; 11(5): 385.     CrossRef
  • Physical Exercise, Social Interaction, Access to Care, and Community Service: Mediators in the Relationship Between Socioeconomic Status and Health Among Older Patients With Diabetes
    Qingwen Deng, Wenbin Liu
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • Self-rated health and the risk of incident type 2 diabetes mellitus: A cohort study
    Jin-Won Noh, Yoosoo Chang, Minsun Park, Young Dae Kwon, Seungho Ryu
    Scientific Reports.2019;[Epub]     CrossRef
  • Explaining the gender gap in health services use among Ghanaian community-dwelling older cohorts
    Razak M. Gyasi, David R. Phillips, Roman David
    Women & Health.2019; 59(10): 1089.     CrossRef
  • Gender, self-rated health and functional decline among community-dwelling older adults
    Razak M. Gyasi, David R. Phillips
    Archives of Gerontology and Geriatrics.2018; 77: 174.     CrossRef
  • Self‐reported oral health predicts tooth loss after five and ten years in a population‐based study
    Peter Meisel, Birte Holtfreter, Henry Völzke, Thomas Kocher
    Journal of Clinical Periodontology.2018; 45(10): 1164.     CrossRef
  • Body mass index and self-rated health in East Asian countries: Comparison among South Korea, China, Japan, and Taiwan
    Jin-Won Noh, Jinseok Kim, Youngmi Yang, Jumin Park, Jooyoung Cheon, Young Dae Kwon, Clemens Fürnsinn
    PLOS ONE.2017; 12(8): e0183881.     CrossRef
  • Self-rated health predicts decline in instrumental activities of daily living among high-functioning community-dwelling older people
    Kimiko Tomioka, Norio Kurumatani, Hiroshi Hosoi
    Age and Ageing.2016;[Epub]     CrossRef
Association of Selected Medical Conditions With Breast Cancer Risk in Korea
Sun Jae Jung, Minkyo Song, Ji-Yeob Choi, Nan Song, Sue Kyung Park, Keun-Young Yoo, Daehee Kang
J Prev Med Public Health. 2013;46(6):346-352.   Published online November 28, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.6.346
  • 9,995 View
  • 94 Download
  • 12 Crossref
AbstractAbstract PDF
Objectives

To estimate the effect of medical conditions in the population of Korea on breast cancer risk in a case-control study.

Methods

The cases were 3242 women with incident, histologically confirmed breast cancer in two major hospitals interviewed between 2001 and 2007. The controls were 1818 women each admitted to either of those two hospitals for a variety of non-neoplastic conditions. Information on each disease was obtained from a standardized questionnaire by trained personnel. Odds ratios (ORs) for each disease were derived from multiple logistic regression adjusted for age, age of menarche, pregnancy, age of first pregnancy, and family history of breast cancer.

Results

Among all of the incident breast cancer patients, pre-existing diabetes (OR, 1.33; 95% confidence interval [CI], 0.99 to 1.78), hypertension (OR, 1.46; 95% CI, 1.18 to 1.83), thyroid diseases (OR, 1.26; 95% CI, 1.00 to 1.58), and ovarian diseases (OR, 1.70; 95% CI, 1.23 to 2.35) were associated with an increased risk of breast cancer when other factors were adjusted for. In a stratified analysis by menopausal status, pre-existing hypertension (pre-menopause OR, 0.80; 95% CI, 0.48 to 1.34 vs. post-menopause OR, 1.87; 95% CI, 1.44 to 2.43; p-heterogeneity <0.01) and ovarian disease (pre-menopause OR, 4.20; 95% CI, 1.91 to 9.24 vs. post-menopause OR, 1.39; 95% CI, 1.02 to 1.91; p-heterogeneity 0.01) showed significantly different risks of breast cancer.

Conclusions

Our results suggest the possibility that medical conditions such as hypertension affect breast cancer development, and that this can differ by menopausal status. Our study also indicates a possible correlation between ovarian diseases and breast cancer risk.

Summary

Citations

Citations to this article as recorded by  
  • Diabetes and incidence of breast cancer and its molecular subtypes: A systematic review and meta‐analysis
    Fanxiu Xiong, Qichen Dai, Sihan Zhang, Stephen Bent, Peggy Tahir, Erin L. Van Blarigan, Stacey A. Kenfield, June M. Chan, Gabriela Schmajuk, Rebecca E. Graff
    Diabetes/Metabolism Research and Reviews.2024;[Epub]     CrossRef
  • Reverse Onco-Cardiology: What Is the Evidence for Breast Cancer? A Systematic Review of the Literature
    Ioannis Boutas, Adamantia Kontogeorgi, Sophia N. Kalantaridou, Constantine Dimitrakakis, Panagiotis Patsios, Maria Kalantzi, Theodoros Xanthos
    International Journal of Molecular Sciences.2023; 24(22): 16500.     CrossRef
  • Association of Hypertension and Organ-Specific Cancer: A Meta-Analysis
    Morgan Connaughton, Mahsa Dabagh
    Healthcare.2022; 10(6): 1074.     CrossRef
  • Association between blood pressure and risk of cancer development: a systematic review and meta-analysis of observational studies
    Aristeidis Seretis, Sofia Cividini, Georgios Markozannes, Xanthippi Tseretopoulou, David S. Lopez, Evangelia E. Ntzani, Konstantinos K. Tsilidis
    Scientific Reports.2019;[Epub]     CrossRef
  • Risk of breast cancer among women with benign ovarian tumors: a Danish nationwide cohort study
    Mathilde Gottschau, Allan Jensen, Kristian Reinholdt, Sonia Guleria, Christian Munk, Lene Mellemkjær, Susanne K. Kjær
    Breast Cancer Research and Treatment.2019; 178(1): 199.     CrossRef
  • Detection of human papillomavirus DNA in tumors from Rwandese breast cancer patients
    Thierry Habyarimana, Mohammed Attaleb, Jean Baptiste Mazarati, Youssef Bakri, Mohammed El Mzibri
    Breast Cancer.2018; 25(2): 127.     CrossRef
  • Association between glutathione peroxidase 1 codon 198 variant and the occurrence of breast cancer in Rwanda
    Thierry Habyarimana, Youssef Bakri, Pacifique Mugenzi, Jean Baptiste Mazarati, Mohammed Attaleb, Mohammed El Mzibri
    Molecular Genetics & Genomic Medicine.2018; 6(2): 268.     CrossRef
  • Hypertension and breast cancer risk: a systematic review and meta-analysis
    Hedong Han, Wei Guo, Wentao Shi, Yamei Yu, Yunshuo Zhang, Xiaofei Ye, Jia He
    Scientific Reports.2017;[Epub]     CrossRef
  • Cancer du sein et diabète de type 2 : des interactions complexes
    L. Bernard, N. Reix, J.-C. Benabu, V. Gabriele, C. Mathelin
    Gynécologie Obstétrique & Fertilité.2016; 44(12): 701.     CrossRef
  • Associations between Medical Conditions and Breast Cancer Risk in Asians: A Nationwide Population-Based Study in Taiwan
    Shu-Chun Chuang, Guo-Jie Wu, Yen-Shen Lu, Ching-Hung Lin, Chao Agnes Hsiung, Pei-Yi Chu
    PLOS ONE.2015; 10(11): e0143410.     CrossRef
  • Detection of MMTV-Like sequences in Moroccan breast cancer cases
    Meriem Slaoui, Mohammed El Mzibri, Rachid Razine, Zineb Qmichou, Mohammed Attaleb, Mariam Amrani
    Infectious Agents and Cancer.2014;[Epub]     CrossRef
  • Insulin therapy and colorectal cancer risk among type 2 diabetes mellitus patients: a systemic review and meta-analysis
    Shinan Yin, Hua Bai, Danqing Jing
    Diagnostic Pathology.2014;[Epub]     CrossRef
English Abstracts
Power Estimation and Follow-Up Period Evaluation in Korea Radiation Effect and Epidemiology Cohort Study.
In Seong Cho, Minkyo Song, Yunhee Choi, Zhong Min Li, Yoon Ok Ahn
J Prev Med Public Health. 2010;43(6):543-548.
DOI: https://doi.org/10.3961/jpmph.2010.43.6.543
  • 5,151 View
  • 72 Download
  • 2 Crossref
AbstractAbstract PDF
OBJECTIVES
The objective of this study was to calculate sample size and power in an ongoing cohort, Korea radiation effect and epidemiology cohort (KREEC). METHOD: Sample size calculation was performed using PASS 2002 based on Cox regression and Poisson regression models. Person-year was calculated by using data from '1993-1997 Total cancer incidence by sex and age, Seoul' and Korean statistical informative service. RESULTS: With the assumption of relative risk=1.3, exposure:non-exposure=1:2 and power=0.8, sample size calculation was 405 events based on a Cox regression model. When the relative risk was assumed to be 1.5 then number of events was 170. Based on a Poisson regression model, relative risk=1.3, exposure:non-exposure=1:2 and power=0.8 rendered 385 events. Relative risk of 1.5 resulted in a total of 157 events. We calculated person-years (PY) with event numbers and cancer incidence rate in the non-exposure group. Based on a Cox regression model, with relative risk=1.3, exposure:non-exposure=1:2 and power=0.8, 136 245PY was needed to secure the power. In a Poisson regression model, with relative risk=1.3, exposure:non-exposure=1:2 and power=0.8, person-year needed was 129517PY. A total of 1939 cases were identified in KREEC until December 2007. CONCLUSIONS: A retrospective power calculation in an ongoing study might be biased by the data. Prospective power calculation should be carried out based on various assumptions prior to the study.
Summary

Citations

Citations to this article as recorded by  
  • Comparative Analysis of Driver Mutations and Transcriptomes in Papillary Thyroid Cancer by Region of Residence in South Korea
    Jandee Lee, Seonhyang Jeong, Hwa Young Lee, Sunmi Park, Meesson Jeong, Young Suk Jo
    Endocrinology and Metabolism.2023; 38(6): 720.     CrossRef
  • Cancer Risk in Adult Residents near Nuclear Power Plants in Korea - A Cohort Study of 1992-2010
    Yoon-Ok Ahn, Zhong Min Li
    Journal of Korean Medical Science.2012; 27(9): 999.     CrossRef
Psychological Health in Residents Participating in Clean-up Works of Hebei Spirit Oil Spill.
Minkyo Song, Yun Chul Hong, Hae Kwan Cheong, Mina Ha, Hojang Kwon, Eun Hee Ha, Yeyong Choi, Woo Chul Jeong, Jongil Hur, Seung Min Lee, Eun Jung Kim
J Prev Med Public Health. 2009;42(2):82-88.
DOI: https://doi.org/10.3961/jpmph.2009.42.2.82
  • 5,455 View
  • 84 Download
  • 22 Crossref
AbstractAbstract PDF
OBJECTIVES
Our objective was to examine and evaluate the psychological health of the residents of Taean during the cleanup of the Hebei Spirit (HS) oil spill and to review some factors associated with the results. METHODS: A community survey of 71 men and women was conducted 8 weeks after the HS oil spill. Questionnaires used were the PWI (Psychological Well-being Index) scale for psychosocial distress, the CES-D (Center for Epidemiologic Studies-Depression) scale for depressive symptoms, and a questionnaire created to assess suicidal impulses. RESULTS: The overall prevalence of high-risk psychosocial distress among the study group was 64.2%. The percentages of respondents with scores on the CES-D Scale above 16 and above 21 were 77.6% and 62.7%, respectively. The percentage of respondents categorized as having suicidal impulses was 18.3%. When compared with unexposed groups in the general population taken from various sources, the residents of Taean were 6.5 times as likely to have high stress and 9.4-9.7 times as likely to be depressed. No significant difference in the rate of suicidal impulse was found between the residents of Taean and the general population. Factors associated with high stress, depression, and suicidal impulses were age, a change in income, educational level, number of days working on the cleanup, and positive responses to questions about "affected daily activity" and "hospital visit due to work on cleanup." CONCLUSIONS: The results suggest that the HS oil spill had a significant impact on the psychological health of residents of Taean, but the comparability of the unexposed groups is a limitation of the study.
Summary

Citations

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    International Archives of Occupational and Environmental Health.2022; 95(7): 1481.     CrossRef
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    Journal of Traumatic Stress.2022; 35(4): 1099.     CrossRef
  • Coping with oil spills: oil exposure and anxiety among residents of Gulf Coast states after the Deepwater Horizon Oil Spill
    Zachary E. Goldman, John A. Kaufman, J. Danielle Sharpe, Amy F. Wolkin, Matthew O. Gribble
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    Journal of Environmental Management.2021; 294: 112936.     CrossRef
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    Journal of Affective Disorders.2019; 249: 223.     CrossRef
  • Developing Large-Scale Research in Response to an Oil Spill Disaster: a Case Study
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    BMJ Open.2019; 9(8): e026740.     CrossRef
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    Kyung-Hwa Choi, Myung-Sook Park, Mina Ha, Jong-Il Hur, Hae-Kwan Cheong
    International Journal of Environmental Research and Public Health.2018; 15(5): 1006.     CrossRef
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    Comprehensive Psychiatry.2017; 77: 38.     CrossRef
  • Psychological Vulnerability of Residents of Communities Affected by the Hebei Spirit Oil Spill
    Kyung-Hwa Choi, Myung-Ho Lim, Mina Ha, Jung Nam Sohn, Jong-Won Kang, Young-Hyun Choi, Hae-Kwan Cheong
    Disaster Medicine and Public Health Preparedness.2016; 10(1): 51.     CrossRef
  • Effects of exposure to oil spills on human health: Updated review
    Blanca Laffon, Eduardo Pásaro, Vanessa Valdiglesias
    Journal of Toxicology and Environmental Health, Part B.2016; 19(3-4): 105.     CrossRef
  • Determinants of Poor Self-rated Health in Korean Adults With Diabetes
    Hwi-Won Lee, Minkyo Song, Jae Jeong Yang, Daehee Kang
    Journal of Preventive Medicine and Public Health.2015; 48(6): 287.     CrossRef
  • Community mental health status six months after the Sewol ferry disaster in Ansan, Korea
    Hee Jung Yang, Hae Kwan Cheong, Bo Youl Choi, Min-Ho Shin, Hyeon Woo Yim, Dong-Hyun Kim, Gawon Kim, Soon Young Lee
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  • Environmental and ecological effects and recoveries after five years of the Hebei Spirit oil spill, Taean, Korea
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    Ocean & Coastal Management.2014; 102: 522.     CrossRef
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    Mark A. D'Andrea, G. Kesava Reddy
    Journal of Occupational & Environmental Medicine.2014; 56(10): 1029.     CrossRef
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    Environmental Health and Toxicology.2013; 28: e2013010.     CrossRef
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JPMPH : Journal of Preventive Medicine and Public Health