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Seon Ha Kim 2 Articles
Body Mass Index and Risk of Hemorrhagic Stroke in Korean Adults: Case-control Study.
Seon Ha Kim, Yong Seok Lee, Seung Mi Lee, Byung Woo Yoon, Byung Joo Park
J Prev Med Public Health. 2007;40(4):313-320.
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  • 58 Download
  • 4 Crossref
AbstractAbstract PDF
To evaluate the association between body mass index (BMI) and hemorrhagic stroke. METHODS: A case-control study was conducted on 2,712 persons (904 cases, 904 hospital controls, and 904 community controls) participating in an Acute Brain Bleeding Analysis study from October 2002 to March 2004. Two controls for each case were matched according to age and gender. The information was obtained by trained interviewers using standardized questionnaire. A conditional logistic regression model was used to estimate the association between BMI and the frequency of having a hemorrhagic stroke. RESULTS: Obese men (25.0 < or = BMI < 30.0 kg/m2) had an odds ratios (OR) of 1.39 (95% CI 1.03 to 1.87) a hemorrhagic stroke, compared to men with a normal BMI (18.5 to 24.9 kg/m2). Conversely, women with lower BMI had a higher risk of having hemorrhagic stroke. With respect to subtypes of hemorrahagic stroke, we observed about a three-fold increase in the risk of intracerebral hemorrhage (ICH) in the highly obese group. However, these trends were not significant in patients with subarachnoid hemorrhages. CONCLUSIONS: Obesity was identified as one of the risk factors in hemorrhagic stroke, in particular ICH. Conversely, in women, a lean body weight increases the risk of hemorrhagic stroke. Consequently, managing one\s weight is essential to reduce the risks of hemorrhagic stroke.


Citations to this article as recorded by  
  • Is nontraumatic intracerebral hemorrhage different between young and elderly patients?
    Na Rae Yang, Ji Hee Kim, Jun Hyong Ahn, Jae Keun Oh, In Bok Chang, Joon Ho Song
    Neurosurgical Review.2020; 43(2): 781.     CrossRef
  • Follow-up study on mortality in Korean stroke patients
    Jee Hye Im, Kun Sei Lee, Keon Yeop Kim, Nam Soo Hong, Sang Won Lee, Hee Joon Bae
    Journal of the Korean Medical Association.2011; 54(11): 1199.     CrossRef
  • Potential bias caused by control selection in secondary data analysis: Nonaspirin nonsteroidal anti‐inflammatory drugs and hemorrhagic stroke
    Nam‐Kyong Choi, Seokyung Hahn, Byung‐Woo Yoon, Byung‐Joo Park
    Pharmacoepidemiology and Drug Safety.2010; 19(6): 604.     CrossRef
  • Socioeconomic Costs of Stroke in Korea: Estimated from the Korea National Health Insurance Claims Database
    Seung-ji Lim, Han-joong Kim, Chung-mo Nam, Hoo-sun Chang, Young-Hwa Jang, Sera Kim, Hye-Young Kang
    Journal of Preventive Medicine and Public Health.2009; 42(4): 251.     CrossRef
Smoking and Colorectal Cancer Risk in the Korean Elderly.
Hwa Jung Kim, Seung Mi Lee, Nam Kyong Choi, Seon Ha Kim, Hong Ji Song, Yuong Kyun Cho, Byung Joo Park
J Prev Med Public Health. 2006;39(2):123-129.
  • 2,608 View
  • 68 Download
AbstractAbstract PDF
The incidence of colorectal cancer increased greatly among the elderly in Korea, but the relationship between smoking and colon cancer remains controversial. Few studies have targeted Asian elderly people. We analyzed the smoking status, the amount smoked, and the smoking duration as risk factors of colorectal cancer to determine their association and causality. METHODS: The cohort members (n=14,103) consisted of 4,694 males and 9,409 females, and they were derived from the Korea Elderly Phamacepidemilogic Cohort (KEPEC), which was a population-based dynamic cohort. They were aged 65 years or more and they lived in Busan Metropolitan City between from 1993-1998; they were beneficiaries of the Korean Medical Insurance Corporation (KMIC). The baseline information was surveyed by a selfadministered mailed questionnaire; after 8.7 person-years of mean follow up period, 100 cases of colorectal cancer occurred. The adjusted relative ratio (aRR) of smoking status, the smoking amount and the smoking duration were calculated from the Cox's proportional hazard model with the never-smokers as a reference group and the Cox model controlled for age, gender, precancerous lesions of CRC, medication history of NSAIDs and antibiotics, the alcohol drinking status and BMI. RESULTS: Compared with the never smokers, the aRRs were 2.03 (95% CI=1.02-4.03) and 1.36 (95% CI=0.80-2.32) for the ex-smokers and current smokers, respectively. Statistical significant trends were not observed for the dose-relationship among the elderly, either for the mean daily amount smoked (p for trend=0.28) or for the total amount (p for trend=0.15). Still, the aRRs were 1.51 (95% CI=0.97-2.34) for the elderly who smoked less than 40 years and 2.35 (95% CI=1.16-4.74) for the elderly who had 40 years or more of smoking (p for trend=0.06). Smokers who started smoking before the age 20 had an increased aRR of 2.15 (95% CI=1.17-3.93) compared to the never smokers. CONCLUSIONS: After controlling for age, gender, precancerous lesion of CRC, medication history of NSAIDs and antibiotics, the alcohol drinking status and BMI, smoking increases the risk of colorectal cancer among elderly people. The age when starting smoking is also important.

JPMPH : Journal of Preventive Medicine and Public Health