Low predictability of anthropometric indicators of obesity in metabolic syndrome (MS) risks among elderly women

2012 ◽  
Vol 55 (3) ◽  
pp. 718-723 ◽  
Author(s):  
Fu-Ling Chu ◽  
Chung-Huei Hsu ◽  
Chii Jeng
2008 ◽  
Vol 19 (7) ◽  
pp. 520-526 ◽  
Author(s):  
Göran Nilsson ◽  
Pär Hedberg ◽  
Tommy Jonason ◽  
Ingemar Lönnberg ◽  
Åke Tenerz ◽  
...  

2017 ◽  
Vol 7 (4) ◽  
pp. 331-336 ◽  
Author(s):  
Afsaneh Bakhtiari ◽  
Karimolla Hajian-Tilaki ◽  
Shabnam Omidvar ◽  
Fatemeh Nasiri Amiri

2006 ◽  
Vol 23 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Pirjo Komulainen ◽  
Timo A. Lakka ◽  
Miia Kivipelto ◽  
Maija Hassinen ◽  
Eeva-Liisa Helkala ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Mohammadreza Naghipour ◽  
Farahnaz Joukar ◽  
Hossein-Ali Nikbakht ◽  
Soheil Hassanipour ◽  
Mehrnaz Asgharnezhad ◽  
...  

Introduction. The prevalence of metabolic syndrome has increased in recent decades around the world and is currently reaching epidemic levels as it is a major public health and clinical concern. The aim of this study was to evaluate the prevalence of metabolic syndrome and its related demographic factors in a population-based study. Methods. In this cross-sectional study, the target population consisted of 10520 individuals aged 35–70 years in Phase 1 of the Persian Guilan cohort study (Guilan site/Some’e Sara) that was conducted in 2014–2017. Demographic, anthropometric, blood pressure, and biochemical data were used in this study. The IDF definitions were used to diagnose the metabolic syndrome. Results. The prevalence of the syndrome according to IDF and ATP definition was 42.87% (95% CI: 41.92–41.81) and 40.68% (95% CI: 39.74–41.62), respectively. The prevalence of components for central obesity, high triglyceride, HDL cholesterol, blood glucose, and hypertension components was 75.8%, 43.1%, 40.6%, 39.2% and 37.9%, respectively. All demographic variables were related to the syndrome, and among them age, gender, and residence were identified as independent and strong predictive variables in the regression model. More than 92% of the population had at least one component of the syndrome. Conclusion. The results of the study show a high prevalence of metabolic syndrome risk factors. It is essential to educate healthy lifestyle behaviors and further health education in the high-risk groups identified in this study, especially the elderly, women, and rural residents.


2019 ◽  
Vol 17 (4) ◽  
pp. 232-239 ◽  
Author(s):  
Jamile Ceolin ◽  
Paula Engroff ◽  
Rita Mattiello ◽  
Carla Helena Augustin Schwanke

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