Gürdal ORHAN, GAMZE AKBULUT, Erdem GÜRKAS, Yeşim SUCULLU KARADAĞ, Fikri AK, Nevin ŞANLIER

The Comparison of the Lipid Profiles of the Overweighted/ Obese and Normal Weighted Male and Female Patients with Multiple Sclerosis (MS): A Cross Sectional Pilot Study

Amaç: Bu çalışmada, multiple skleroz (MS) hastalarında hafif şişmanlık /şişmanlık durumuna göre, plazma toplam kolesterol ve trigliserit düzeylerinin belirlenmesi amaçlanmıştır. Bireyler ve Yöntem: Bu çalışma, Ankara Numune Eğitim ve Araştırma Hastanesi, Nöroloji Anabilim Dalına başvuran 63 MS hastası (41 kadın birey, 22 erkek birey) üzerinde gerçekleştirilmiştir. Vücut bileşim analizi [vücut yağ kütlesi (kg), vücut yağ yüzdesi (%), yağsız doku kütlesi (kg) ve vücut suyu (kg)] Gazi Üniversitesi Beslenme ve Diyetetik Bölümünde biyoelektrik impedans analizörü (BİA) kullanılarak ölçülmüştür. Her katılımcının lipit profili [total kolesterol (TK), yüksek yoğunluklu lipoprotein-kolesterol (HDL-K), düşük yoğunluklu lipoprotein-kolesterol (LDL-K), çok düşük yoğunluklu lipoprotein - kolesterol (VLDL-K) ve trigliserit TG)] düzeyleri ölçüldü. Bulgular: Yaş ortalaması kadınlarda 34.6 ± 8.19 yıl, erkeklerde 35.1 ± 8.90 yıl (20-56 yıl) olarak bulunmuştur. Kadınlarda hafif şişmanlık/ şişmanlık sıklığı erkeklerden daha yüksektir (sırasıyla kadınların %41.5inin ve erkeklerin %36.3ünün beden kütle indeksi (BKİ) yüksektir (>25.0 kg/m2). Kadınlarda vücut yağ kütlesi (FM) (kg) (p= 0.048) ve vücut yağ oranı (FP) (%) (p

Multiple Sklerozlu (MS) Hafif Şişman, Obez ve Normal Vücut Ağırlıklı Erkek ve Kadın Hastaların Lipid Profillerinin Karşılaştırılması: Kesitsel Bir Pilot Çalışma

Aim: The aim of the study was to determine the overweight/obesity status, plasma total cholesterol and triglyceride levels in multiple sclerosis (MS) patients. Subjects and Methods: This study was conducted on 63 MS patients (41 female, 22 male) who have applied to Ankara Numune Education and Research Hospital, Department of Neurology. Body composition analysis [body fat mass (kg), body fat percentage (%), fat free mass (kg) and body water (kg)] was measured by bioelectrical impedance analyzer (BIA) at the Department of Nutrition and Dietetics in Gazi University. The lipid profile [total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), very low-density lipoprotein-cholesterol (VLDL-C) and triglyceride (TG)] of each participant was measured. Results: The mean age was found 35.1 ± 8.90 years for females, 34.6 ± 8.19 years for males (20-56 years). Overweight/obesity was found more prevalent in females than in males (41.5% of the females and 36.3% of the males had higher body mass index (BMI) (>25.0 kg/m2), respectively). While the body fat mass (FM) (p= 0.048) and fat percentage (FP) (p< 0.001) measurements were high in females; fat free mass (FFM) (p<0.001) and total body water (p<0.001) measurements were found to be higher in males. Conclusion: It was concluded that obesity was more prevalent in females and was also a risk factor for cardiovascular diseases in MS subjects in this study.

PDF

___

1.Castro-Borrero W, Graves D, Frohman TC, Flores AB, Hardeman P, Logan D, et al. Current and emerging therapies in multiple sclerosis: a systematic review. Ther Adv Neurol Disord 2012;5(4):205-220.
2.Hersh C, Rae-Grant A. Extended-release dalfampridine in the management of multiple-sclerosis-related walking impairment. Ther Adv Neurol Disord 2012;5(4):199- 204.
3.Mirza M. The etiology and the epidemiology of multiple sclerosis. Erciyes Medical Journal 2002;24(1):40-47.
4.Maffei M, Halaas J, Ravussin E, Pratley RE, Lee GH, Zhang Y, et al. Leptin levels in human and rodent: measurement of plasma leptin and ob RNA in obese and weight-reduced subjects. Nat Med 1995;1:11551161.
5.Munger KL, Chitnis T and Ascherio A. Body size and risk of MS in two cohorts of US women. Neurology 2009;73:15431550.
6.Kavak KS, Teter BE, Hagemeier J, Zakalik K, Weinstock-Guttman B. Higher weight in adolescence and young adulthood is associated with an earlier age at multiple sclerosis onset. Mult Scler. 2014 [Epub ahead of print].
7.Cambil-Martín J, Galiano-Castillo N, Muñoz-Hellín E, Díaz-Rodríguez L, Laguarta-Val S, Fernández-de- Las-Peñas C, et al. Ifluence of body mass index on psychological and functional outcomes in patients with multiple sclerosis: a cross -sectional study. Nutr Neurosci. 2014 [Epub ahead of print]
8.Hsieh SD, Yoshinaga H, Muto T. Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 2003;27(5):610- 616.
9.WHO/FAO. Diet, Nutrition and the Prevention of Chronic Diseases, WHO Technical Report Series, 916, Geneva, 2003.
10.Lohman TG, Roche AF, Martorell R. Anthropometric Standardization Reference Manual. Kinetics Books, Champaign, Illinois, pp. 1-50, 1988.
11.Friedewald WT, Levy RI, Fedickso DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of preparative ultracentrifuge. Clin Chem 1972;18,499-502.
12.Young CA. Factors predisposing to the development of multiple sclerosis. QJM 2011;104(5):383-386.
13.McCombe PA, Greer JM. Female reproductive issues in multiple sclerosis. Mult Scler 2013;19(4):392-402.
14.Compton MT, Daumit GL, Druss BG. Cigarette smoking and overweight/obesity among individuals with serious mental illnesses: a preventive perspective. Harv Rev Psychiatry 2006;14(4):212-222.
15.Marrie RA, Horwitz RI, Cutter G, Tyry T, Vollmer T. Association between comorbidity and clinical characteristics of MS. Acta Neurol Scand 2011;124(2):135-141.
16.Marrie RA, Horwitz RI. Emerging effects of comorbidities on multiple sclerosis. Lancet Neurol 2010;9(8):820-828.
17.Hedström AK, Olsson T, Alfredsson L. High body mass index before age 20 is associated with increased risk for multiple sclerosis in both men and women. Mult Scler 2012;18:1334-1336.
18.Bastard JP, Maachi M, Lagathu C, Kim MJ, Caron M, Vidal H, et al. Recent advances in the relationship between obesity, inflammation, and insulin resistance. Eur Cytokine Netw 2006;17(1):4-12.
19.Yong L, Guanghui T, Weiwei , Liping L,, Xiaosong Q. Can body mass index, waist circumference, waist- hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects? BMC Public Health 2011; 11: 35.
20.David J, Tybor AH, Lichtenstein GE, Dallal AM. Waist- to-height ratio is correlated with height in US children and adolescents aged 218 years. Int J Pediatr Obes 2008;(3):14851.
21.Giubilei F, Antonini G, Di Legge S, Sormani MP, Pantano P, Antonini R, et al. Blood cholesterol and MRI activity in first clinical episode suggestive of multiple sclerosis. Acta Neurologica Scandinavica 2002;106:109112.
22.Salemi G, Gueli MC, Vitale F, Battaglieri F, Guglielmini E, Ragonese P, et al. Blood lipids, homocysteine, stress factors, and vitamins in clinically stable multiple sclerosis patients. Lipids Health Dis. 2010;9:19.
23.Wekerle H. The immunology of multiple sclerosis. In: Compston A, ed. McAlpines multiple sclerosis. London: Churchill Livingstone, 1998;379407.