Literature DB >> 24148312

Gender differences in the age-stratified prevalence of risk factors in Korean ischemic stroke patients: a nationwide stroke registry-based cross-sectional study.

Tai Hwan Park1, Youngchai Ko, Soo Joo Lee, Kyung Bok Lee, Jun Lee, Moon-Ku Han, Jong-Moo Park, Dong-Eog Kim, Yong-Jin Cho, Keun-Sik Hong, Joon-Tae Kim, Ki-Hyun Cho, Dae-Hyun Kim, Jae-Kwan Cha, Kyung-Ho Yu, Byung-Chul Lee, Byung-Woo Yoon, Ji Sung Lee, Juneyoung Lee, Philip B Gorelick, Hee-Joon Bae.   

Abstract

BACKGROUND: Although ethnic or cultural differences affect prevalence of cardiovascular risk factors, limited information is available about the age- and gender-stratified prevalence of the risk factors in Asian stroke population. AIMS AND HYPOTHESIS: We assessed gender- and age-stratified prevalences of major risk factors in Korean stroke patients, and assumed that the gender differences are attenuated by adjustment with lifestyle factors.
METHODS: Using the nationwide hospital-based stroke registry, we identified 9417 ischemic stroke patients admitted between April 2008 and January 2011. Prevalence of hypertension, diabetes, hyperlipidemia, atrial fibrillation, prior stroke, and coronary heart disease was assessed in both genders by age groups. We analyzed gender differences of the prevalence among the age groups by calculating prevalence ratio, and further explored the influence of lifestyle factors on the gender difference in multivariable analyses.
RESULTS: Hypertension and hyperlipidemia were more common in men until middle age, but after that more common in women, whereas diabetes was more common in women after 65 years of age. Atrial fibrillation increased steadily with age in both genders but was more common in women through all age groups. Prior stroke and coronary heart disease showed inconsistent gender differences. Gender differences in hypertension and diabetes among the age groups were attenuated by adjustment with accompanying risk factors including lifestyle factors.
CONCLUSION: Korean women with stroke had more hypertension and hyperlipidemia after middle age, more diabetes after 65 years, and more atrial fibrillation throughout all ages. Strategies to control risk factors in women at risk for stroke are eagerly needed.
© 2013 The Authors. International Journal of Stroke © 2013 World Stroke Organization.

Entities:  

Keywords:  Asia; epidemiology; ischemic stroke; prevention; risk factors; stroke

Mesh:

Year:  2013        PMID: 24148312     DOI: 10.1111/ijs.12146

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  13 in total

1.  Moderate alcohol intake reduces risk of ischemic stroke in Korea.

Authors:  Soo Joo Lee; Yong-Jin Cho; Jae Guk Kim; Youngchai Ko; Keun-Sik Hong; Jong-Moo Park; Kyusik Kang; Tai Hwan Park; Sang-Soon Park; Kyung Bok Lee; Jae Kwan Cha; Dae-Hyun Kim; Jun Lee; Joon-Tae Kim; Juneyoung Lee; Ji Sung Lee; Myung Suk Jang; Moon-Ku Han; Philip B Gorelick; Hee-Joon Bae
Journal:  Neurology       Date:  2015-10-30       Impact factor: 9.910

2.  Older Ethnic Minority Women's Perceptions of Stroke Prevention and Walking.

Authors:  Ivy Kwon; Nazleen Bharmal; Sarah Choi; Daniel Araiza; Mignon R Moore; Laura Trejo; Catherine A Sarkisian
Journal:  Womens Health Issues       Date:  2015-09-26

3.  Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex.

Authors:  Tai Hwan Park; Youngchai Ko; Soo Joo Lee; Kyung Bok Lee; Jun Lee; Moon-Ku Han; Jong-Moo Park; Yong-Jin Cho; Keun-Sik Hong; Dae-Hyun Kim; Jae-Kwan Cha; Mi-Sun Oh; Kyung-Ho Yu; Byung-Chul Lee; Byung-Woo Yoon; Ji Sung Lee; Juneyoung Lee; Hee-Joon Bae
Journal:  J Stroke       Date:  2015-09-30       Impact factor: 6.967

4.  Prevalence and risk factors of stroke in the elderly in Northern China: data from the National Stroke Screening Survey.

Authors:  Xiaoshuang Xia; Wei Yue; Baohua Chao; Mei Li; Lei Cao; Lin Wang; Ying Shen; Xin Li
Journal:  J Neurol       Date:  2019-04-15       Impact factor: 4.849

5.  Gender and thrombolysis therapy in stroke patients with incidence of dyslipidemia.

Authors:  Brice Blum; Leah Wormack; Mason Holtel; Alexandria Penwell; Shyyon Lari; Brittany Walker; Thomas I Nathaniel
Journal:  BMC Womens Health       Date:  2019-01-16       Impact factor: 2.809

6.  Investigation of Gender Differences and Exclusive Criteria in a Diabetic Acute Ischemic Stroke Population Treated with Recombinant Tissue-Type Plasminogen Activator (rtPA).

Authors:  Taylor Wapshott; Brice Blum; Williams Kelsey; Thomas I Nathaniel
Journal:  J Vasc Interv Neurol       Date:  2017-12

7.  The association between serine hydroxymethyl transferase 1 gene hypermethylation and ischemic stroke.

Authors:  Junnan Wang; Junqing Gu; Yi Huang; Yuanjian Fang; Jinhui Lin
Journal:  Bosn J Basic Med Sci       Date:  2021-08-01       Impact factor: 3.363

8.  Age Stratification and Impact of Eicosapentaenoic Acid and Docosahexaenoic Acid to Arachidonic Acid Ratios in Ischemic Stroke Patients.

Authors:  Yuji Ueno; Ryota Tanaka; Kazuo Yamashiro; Nobukazu Miyamoto; Kenichiro Hira; Naohide Kurita; Mayu Sakurai; Takao Urabe; Kazunori Shimada; Tetsuro Miyazaki; Hiroyuki Daida; Nobutaka Hattori
Journal:  J Atheroscler Thromb       Date:  2017-12-02       Impact factor: 4.928

9.  Antithrombotic treatments in patients with acute ischemic stroke and non-valvular atrial fibrillation before introduction of non-vitamin K antagonist oral anticoagulants into practice in Korea.

Authors:  Hee-Joon Bae; Ji Hoe Heo; Keun-Hwa Jung; Yong-Seok Lee; Keun-Sik Hong; Woo-Keun Seo; Jaseong Koo; Jae-Kwan Cha; Mi Ji Lee; Bo-Jeong Seo; Young-Joo Kim; Seongsik Kang; Jinmi Seok; Juneyoung Lee; Chin-Sang Chung
Journal:  PLoS One       Date:  2018-11-02       Impact factor: 3.240

10.  Building Linked Big Data for Stroke in Korea: Linkage of Stroke Registry and National Health Insurance Claims Data.

Authors:  Tae Jung Kim; Ji Sung Lee; Ji-Woo Kim; Mi Sun Oh; Heejung Mo; Chan-Hyuk Lee; Han-Young Jeong; Keun-Hwa Jung; Jae-Sung Lim; Sang-Bae Ko; Kyung-Ho Yu; Byung-Chul Lee; Byung-Woo Yoon
Journal:  J Korean Med Sci       Date:  2018-12-13       Impact factor: 2.153

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