Prevalence of overweight, obesity and metabolic syndrome components in multiple sclerosis patients with significant disability

European Journal of Neurology

Volumn 22, Issue 9, 2015, Pages 1275-1279

  Pinhas Hamiel, O ^a,b   Livne, M ^a,b   Harari, G ^c   Achiron, A ^a,b  

^a SHEBA MEDICAL CENTER   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

^c Medistat Ltd   (Israel)

Author keywords

Cardiovascular risk; Metabolic syndrome; Multiple sclerosis; Obesity; Overweight; Waist circumference

Indexed keywords

ANGIOTENSIN RECEPTOR ANTAGONIST; ANTIDIABETIC AGENT; DIPEPTIDYL CARBOXYPEPTIDASE INHIBITOR; GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; STEROID; TRIACYLGLYCEROL;

ADULT; AGE; AGED; ARTICLE; BODY HEIGHT; BODY MASS; BODY WEIGHT; CARDIOMETABOLIC RISK; CHOLESTEROL BLOOD LEVEL; COGNITIVE DEFECT; COHORT ANALYSIS; COMPARATIVE STUDY; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DISABLED PERSON; DISEASE DURATION; DYSLIPIDEMIA; ELEVATED BLOOD PRESSURE; EXPANDED DISABILITY STATUS SCALE; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; HYPERGLYCEMIA; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; MULTIPLE SCLEROSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; PREVALENCE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SEX DIFFERENCE; STEROID THERAPY; TRIACYLGLYCEROL BLOOD LEVEL; WAIST CIRCUMFERENCE; COMORBIDITY; DISABILITY; MIDDLE AGED; OVERWEIGHT; SEVERITY OF ILLNESS INDEX;

AGED; COMORBIDITY; CROSS-SECTIONAL STUDIES; DISABILITY EVALUATION; FEMALE; HUMANS; MALE; METABOLIC SYNDROME X; MIDDLE AGED; MULTIPLE SCLEROSIS; OBESITY; OVERWEIGHT; PREVALENCE; SEVERITY OF ILLNESS INDEX;

EID: 84939470891     PISSN: 13515101     EISSN: 14681331     Source Type: Journal    
DOI: 10.1111/ene.12738     Document Type: Article

References (21)

1. Finucane MM, Stevens GA, Cowan MJ, et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet 2011; 377: 557-567.
2. Beltran-Sanchez H, Harhay MO, Harhay MM, McElligott S. Prevalence and trends of metabolic syndrome in the adult U.S. population, 1999-2010. J Am Coll Cardiol 2013; 62: 697-703.
3. Wens I, Dalgas U, Stenager E, Eijnde BO. Risk factors related to cardiovascular diseases and the metabolic syndrome in multiple sclerosis - a systematic review. Mult Scler 2013; 19: 1556-1564.
4. Slawta JN, Wilcox AR, McCubbin JA, Nalle DJ, Fox SD, Anderson G. Health behaviors, body composition, and coronary heart disease risk in women with multiple sclerosis. Arch Phys Med Rehabil 2003; 84: 1823-1830.
5. Markianos M, Evangelopoulos ME, Koutsis G, Davaki P, Sfagos C. Body mass index in multiple sclerosis: associations with CSF neurotransmitter metabolite levels. ISRN Neurol 2013; 2013: 981070.
6. Khurana SR, Bamer AM, Turner AP, et al. The prevalence of overweight and obesity in veterans with multiple sclerosis. Am J Phys Med Rehabil 2009; 88: 83-91.
7. Rivera JF, Kurtzke JF, Booth VJ, Corona VT 5th. Characteristics of Devic's disease (neuromyelitis optica) in Mexico. J Neurol 2008; 255: 710-715.
8. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983; 33: 1444-1452.
9. Keinan-Boker L, Noyman N, Chinich A, Green MS, Nitzan-Kaluski D. Overweight and obesity prevalence in Israel: findings of the first national health and nutrition survey (MABAT). Isr Med Assoc J 2005; 7: 219-223.
10. Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001; 285: 2486-2497.
11. Rubin D, Helwig U, Nothnagel M, Folsch UR, Schreiber S, Schrezenmeir J. Association of postprandial and fasting triglycerides with traits of the metabolic syndrome in the Metabolic Intervention Cohort Kiel. Eur J Endocrinol 2010; 162: 719-727.
12. Langan SM, Seminara NM, Shin DB, et al. Prevalence of metabolic syndrome in patients with psoriasis: a population-based study in the United Kingdom. J Invest Dermatol 2012; 132: 556-562.
13. Silventoinen K, Pankow J, Jousilahti P, Hu G, Tuomilehto J. Educational inequalities in the metabolic syndrome and coronary heart disease among middle-aged men and women. Int J Epidemiol 2005; 34: 327-334.
14. Alschuler KN, Gibbons LE, Rosenberg DE, et al. Body mass index and waist circumference in persons aging with muscular dystrophy, multiple sclerosis, post-polio syndrome, and spinal cord injury. Disabil Health J 2012; 5: 177-184.
15. Rubin D, Schneider-Muntau A, Klapper M, et al. Functional analysis of promoter variants in the microsomal triglyceride transfer protein (MTTP) gene. Hum Mutat 2008; 29: 123-129.
16. Despres JP, Cartier A, Cote M, Arsenault BJ. The concept of cardiometabolic risk: bridging the fields of diabetology and cardiology. Ann Med 2008; 40: 514-523.
17. Lalmohamed A, Bazelier MT, Van Staa TP, et al. Causes of death in patients with multiple sclerosis and matched referent subjects: a population-based cohort study. Eur J Neurol 2012; 19: 1007-1014.
18. Tettey P, Simpson S Jr, Taylor B, et al. An adverse lipid profile is associated with disability and progression in disability, in people with MS. Mult Scler 2014; 20: 1737-1744.
19. Mottillo S, Filion KB, Genest J, et al. The metabolic syndrome and cardiovascular risk: a systematic review and meta-analysis. J Am Coll Cardiol 2010; 56: 1113-1132.
20. Guize L, Pannier B, Thomas F, Bean K, Jego B, Benetos A. Recent advances in metabolic syndrome and cardiovascular disease. Arch Cardiovasc Dis 2008; 101: 577-583.
21. Guize L, Thomas F, Pannier B, Bean K, Jego B, Benetos A. All-cause mortality associated with specific combinations of the metabolic syndrome according to recent definitions. Diabetes Care 2007; 30: 2381-2387.