Literature DB >> 27487854

Risk Factors for Stroke among Young-Old and Old-Old Community-Dwelling Adults in Japan: The Ohasama Study.

Keiko Murakami1, Kei Asayama, Michihiro Satoh, Ryusuke Inoue, Megumi Tsubota-Utsugi, Miki Hosaka, Ayako Matsuda, Kyoko Nomura, Takahisa Murakami, Masahiro Kikuya, Hirohito Metoki, Yutaka Imai, Takayoshi Ohkubo.   

Abstract

AIM: Few studies have addressed stroke risk factors in older populations, particularly among the old-old. We examined differences in traditional risk factors for stroke among the old-old compared with the young-old in community-dwelling Japanese adults.
METHODS: We followed 2,065 residents aged ≥ 60 years who had no history of stroke. Traditional risk factors for stroke were obtained from a self-administered questionnaire at baseline. We classified participants into two age categories, 60-74 years (n=1,502) and ≥ 75 years (n=563), and assessed whether traditional risk factors were differentially associated with stroke incidence according to age category. Hazard ratios were calculated by the Cox proportional hazards model, adjusting for confounding factors and competing risk of death.
RESULTS: During a median follow-up of 12.8 and 7.9 years, 163 and 111 participants aged 60-74 and ≥ 75 years, respectively, developed a first stroke. Hypertension was consistently associated with increased risk of stroke, regardless of age category. Diabetes mellitus was associated with increased risk of stroke in those aged 60-74 years (hazard ratio, 1.50; 95% confidence interval, 1.00-2.25), but not in those aged ≥ 75 years (hazard ratio, 0.65; 95% confidence interval, 0.33-1.29), with significant interaction by age (P=0.035). No traditional risk factor other than hypertension was associated with stroke among those aged ≥ 75 years.
CONCLUSION: Those with hypertension had significantly higher stroke risk among old people, while diabetes mellitus was differentially associated with stroke according to age category. Our findings indicate the importance of different prevention strategies for stroke incidence according to age category.

Entities:  

Mesh:

Year:  2016        PMID: 27487854      PMCID: PMC5383545          DOI: 10.5551/jat.35766

Source DB:  PubMed          Journal:  J Atheroscler Thromb        ISSN: 1340-3478            Impact factor:   4.928


  39 in total

1.  Heterogeneity in healthy aging.

Authors:  David J Lowsky; S Jay Olshansky; Jay Bhattacharya; Dana P Goldman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-11-17       Impact factor: 6.053

2.  Special report from the National Institute of Neurological Disorders and Stroke. Classification of cerebrovascular diseases III.

Authors: 
Journal:  Stroke       Date:  1990-04       Impact factor: 7.914

3.  Blood pressure categories and long-term risk of cardiovascular disease according to age group in Japanese men and women.

Authors:  Akira Fujiyoshi; Takayoshi Ohkubo; Katsuyuki Miura; Yoshitaka Murakami; Shin-Ya Nagasawa; Tomonori Okamura; Hirotsugu Ueshima
Journal:  Hypertens Res       Date:  2012-06-28       Impact factor: 3.872

4.  The asymmetric dimethylarginine level is associated with the predicted stroke risk in Japanese women.

Authors:  Kanako Muraga; Yasuhiro Nishiyama; Toshiaki Otsuka; Masayuki Ueda; Arata Abe; Yasuo Katayama
Journal:  J Atheroscler Thromb       Date:  2014-01-24       Impact factor: 4.928

Review 5.  Diabetes mellitus and cerebrovascular disease: which are the actual data?

Authors:  Apostolos I Hatzitolios; Triandafillos P Didangelos; Anestis T Zantidis; Konstantinos Tziomalos; George A Giannakoulas; Dimitrios T Karamitsos
Journal:  J Diabetes Complications       Date:  2008-03-20       Impact factor: 2.852

6.  Stroke in 85-year-olds: prevalence, incidence, risk factors, and relation to mortality and dementia.

Authors:  Martin Liebetrau; Bertil Steen; Ingmar Skoog
Journal:  Stroke       Date:  2003-10-16       Impact factor: 7.914

7.  Diabetic and non-diabetic subjects with ischemic stroke: differences, subtype distribution and outcome.

Authors:  Antonino Tuttolomondo; Antonio Pinto; Giuseppe Salemi; Domenico Di Raimondo; Riccardo Di Sciacca; Paola Fernandez; Paolo Ragonese; Giovanni Savettieri; Giuseppe Licata
Journal:  Nutr Metab Cardiovasc Dis       Date:  2007-08-16       Impact factor: 4.222

8.  Acute stroke in the very elderly: epidemiological features, stroke subtypes, management, and outcome in Martinique, French West Indies.

Authors:  S Olindo; P Cabre; R Deschamps; C Chatot-Henry; P René-Corail; P Fournerie; M Saint-Vil; F May; D Smadja
Journal:  Stroke       Date:  2003-06-26       Impact factor: 7.914

9.  Incidence of cardiovascular disease and cancer in advanced age: prospective cohort study.

Authors:  Jane A Driver; Luc Djoussé; Giancarlo Logroscino; J Michael Gaziano; Tobias Kurth
Journal:  BMJ       Date:  2008-12-09

10.  The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis.

Authors:  Gitanjali M Singh; Goodarz Danaei; Farshad Farzadfar; Gretchen A Stevens; Mark Woodward; David Wormser; Stephen Kaptoge; Gary Whitlock; Qing Qiao; Sarah Lewington; Emanuele Di Angelantonio; Stephen Vander Hoorn; Carlene M M Lawes; Mohammed K Ali; Dariush Mozaffarian; Majid Ezzati
Journal:  PLoS One       Date:  2013-07-30       Impact factor: 3.240

View more
  7 in total

1.  Carotid Plaque Score and Risk of Cardiovascular Mortality in the Oldest Old: Results from the TOOTH Study.

Authors:  Takumi Hirata; Yasumichi Arai; Michiyo Takayama; Yukiko Abe; Kiyoshi Ohkuma; Toru Takebayashi
Journal:  J Atheroscler Thromb       Date:  2017-02-08       Impact factor: 4.928

2.  Risk Factor of Cardiovascular Disease Among Older Individuals.

Authors:  Hiroshi Yatsuya; Masaaki Matsunaga; Yuanying Li; Atsuhiko Ota
Journal:  J Atheroscler Thromb       Date:  2016-10-26       Impact factor: 4.928

3.  Evaluation of Lenticulostriate Arteries Changes by 7 T Magnetic Resonance Angiography in Type 2 Diabetes.

Authors:  Satoshi Yashiro; Hiroyuki Kameda; Ai Chida; Yusuke Todate; Yutaka Hasegawa; Kan Nagasawa; Ikuko Uwano; Makoto Sasaki; Kuniaki Ogasawara; Yasushi Ishigaki
Journal:  J Atheroscler Thromb       Date:  2018-03-05       Impact factor: 4.928

4.  Predictive clinical features of cardioembolic infarction in patients aged 85 years and older.

Authors:  Ana Maria Carbajo-García; Jonatan Cortés; Adrià Arboix; Joan Massons; Laura Díez; Enric Vergés; Jordi Arboix-Alió; Luís García-Eroles
Journal:  J Geriatr Cardiol       Date:  2019-11       Impact factor: 3.327

5.  Effects of Age on Long-Term Functional Recovery in Patients with Stroke.

Authors:  Jae Wan Yoo; Bo Young Hong; Leechan Jo; Joon-Sung Kim; Jung Geun Park; Bo Kyung Shin; Seong Hoon Lim
Journal:  Medicina (Kaunas)       Date:  2020-09-07       Impact factor: 2.430

6.  Treatment Outcome and Its Determinants among Patients Admitted to Stroke Unit of Jimma University Medical Center, Southwest Ethiopia.

Authors:  Ameha Zeleke Zewudie; Tolcha Regasa; Solomon Hambisa; Dejen Nureye; Yitagesu Mamo; Temesgen Aferu; Desalegn Feyissa; Tewodros Yosef
Journal:  Stroke Res Treat       Date:  2020-12-30

7.  Dynamic physical examination indicators of cardiovascular health: A single-center study in Shanghai, China.

Authors:  Rongren Kuang; Yiling Liao; Xinhan Xie; Biao Li; Xiaojuan Lin; Qiang Liu; Xiang Liu; Wenya Yu
Journal:  PLoS One       Date:  2022-05-12       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.