Fatigue and oxidative stress response to physical activity in type 2 diabetic patients

被引:13
作者
Alghadir, Ahmad H. [1 ]
Gabr, Sami A. [1 ,2 ]
Anwer, Shahnawaz [1 ,3 ]
Al-Eisa, Einas [1 ]
机构
[1] King Saud Univ, Coll Appl Med Sci, Dept Rehabil Sci, Rehabil Res Chair, Riyadh, Saudi Arabia
[2] Mansoura Univ, Fac Med, Dept Anat, Mansoura, Egypt
[3] Dr DY Patil Vidyapeeth, Padmashree Dr DY Patil Coll Physiotherapy, Pune, Maharashtra, India
关键词
Physical activity; Diabetes; Oxidative stress; Fatigue; Insulin; LIFE-STYLE INTERVENTION; ACTIVITY QUESTIONNAIRE; LIPID-PEROXIDATION; AFRICAN-AMERICANS; FOLLOW-UP; EXERCISE; ADULTS; ANTIOXIDANT; PREVENTION; REDUCTION;
D O I
10.1007/s13410-015-0420-2
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Physical activity (PA) and exercise is known to have a positive impact on a variety of variables pertinent to diabetes and cardiovascular disease. The aims of this study were to investigate the effects of physical activity on fatigue scores, oxidative stress, and glycemic control variables of individuals with type 2 diabetes mellitus (T2DM). Seventy-five subjects diagnosed with T2DM for more than 5 years aged 18-65 years participated in this study. The participants classified according to energy expenditure into, physically inactive [a parts per thousand currency sign500 metabolic equivalents (METs)-min/week, n = 25], moderate PA (500-2500 METs-min/week, n = 25), and PA (a parts per thousand yen2500 METs-min/week, n = 25). The Global Physical Activity Questionnaire (GPAQ) version 2.0 was used to classify physical activity. The multidimensional checklist individual strength questionnaire (CIS20r) was used to measure chronic fatigue. Blood glucose was measured using a glucose oxidase and peroxidase (GOD-POD) colorimetric method. HbA1c was measured using a commercial kit. Serum insulin level was determined using an ELISA. Analysis of oxidative stress parameters including malonaldehyde (MDA) and total antioxidant capacity (TAC) was done. To test differences between severely fatigued and healthy subjects, an independent t test was performed. Spearman correlations were used to assess correlations between fatigue severity score and disease-related and psychosocial factors. A level of significance was set at p < 0.05. The results showed a significant reduction of fasting blood sugar, glycosylated hemoglobin, fasting insulin, and MDA along with significant increase in TAC activity in the participants with moderate PA (P < 0.05) and PA (P < 0.01), respectively. In relation to CIS-fatigue measurements, about 33 % of the study population (n = 25) had a CIS score above the cutoff score of 37 with 59.5 mean CIS score, and 67 % of the study population (n = 50) had CIS score below the cutoff 37; they were classified into heightened fatigue (score 27-35) and healthy (score a parts per thousand currency sign27). There was a significant correlation between the reduction of diabetic related variables, BMI, PA status, and CIS-fatigue score analyses in T2DM patients. CIS-fatigue scores correlated positively with diabetic related variables and negatively with PA, BMI, and TAC activity. PA plays a vital role in improving CIS-fatigue score in type 2 diabetic patients via reducing oxidative stress and diabetic related variables.
引用
收藏
页码:59 / 64
页数:6
相关论文
共 38 条
[1]   Standards of Medical Care in Diabetes-2009 [J].
不详 .
DIABETES CARE, 2009, 32 :S13-S61
[2]   10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study [J].
Bray, G. A. ;
Chatellier, A. ;
Duncan, C. ;
Greenway, F. L. ;
Levy, E. ;
Ryan, D. H. ;
Polonsky, K. S. ;
Tobian, J. ;
Ehrmann, D. ;
Matulik, M. J. ;
Clark, B. ;
Czech, K. ;
DeSandre, C. ;
Hilbrich, R. ;
McNabb, W. ;
Semenske, A. R. ;
Goldstein, B. J. ;
Smith, K. A. ;
Wildman, W. ;
Pepe, C. ;
Goldberg, R. B. ;
Calles, J. ;
Ojito, J. ;
Castillo-Florez, S. ;
Florez, H. J. ;
Giannella, A. ;
Lara, O. ;
Veciana, B. ;
Haffner, S. M. ;
Montez, M. G. ;
Lorenzo, C. ;
Martinez, A. ;
Hamman, R. F. ;
Testaverde, L. ;
Bouffard, A. ;
Dabelea, D. ;
Jenkins, T. ;
Lenz, D. ;
Perreault, L. ;
Price, D. W. ;
Steinke, S. C. ;
Horton, E. S. ;
Poirier, C. S. ;
Swift, K. ;
Caballero, E. ;
Jackson, S. D. ;
Lambert, L. ;
Lawton, K. E. ;
Ledbury, S. ;
Kahn, S. E. .
LANCET, 2009, 374 (9702) :1677-1686
[3]   Global Physical Activity Questionnaire (GPAQ): Nine Country Reliability and Validity Study [J].
Bull, Fiona C. ;
Maslin, Tahlia S. ;
Armstrong, Timothy .
JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 2009, 6 (06) :790-804
[4]  
Cavelti-Weder Claudia, 2011, Diabetes Care, V34, pe158, DOI 10.2337/dc11-1196
[5]   Environmental correlates of physical activity among individuals with diabetes in the rural midwest [J].
Deshpande, AD ;
Baker, EA ;
Lovegreen, SL ;
Brownson, RC .
DIABETES CARE, 2005, 28 (05) :1012-1018
[6]   Free radicals antioxidant enzymes and lipid peroxidation in different types of leukemias [J].
Devi, GS ;
Prasad, MH ;
Saraswathi, I ;
Raghu, D ;
Rao, DN ;
Reddy, PP .
CLINICA CHIMICA ACTA, 2000, 293 (1-2) :53-62
[7]   Fatigue in Women With Type 2 Diabetes [J].
Fritschi, Cynthia ;
Quinn, Laurie ;
Hacker, Eileen D. ;
Penckofer, Sue M. ;
Wang, Edward ;
Foreman, Marquis ;
Ferrans, Carol E. .
DIABETES EDUCATOR, 2012, 38 (05) :662-672
[8]   Fatigue in patients with diabetes: A review [J].
Fritschi, Cynthia ;
Quinn, Laurie .
JOURNAL OF PSYCHOSOMATIC RESEARCH, 2010, 69 (01) :33-41
[9]   Gender differences in exercise-induced changes in sex hormone levels and lipid peroxidation in athletes participating in the Hawaii Ironman triathlon Ginsburg-gender and exercise-induced lipid peroxidation [J].
Ginsburg, GS ;
O'toole, M ;
Rimm, E ;
Douglas, PS ;
Rifai, N .
CLINICA CHIMICA ACTA, 2001, 305 (1-2) :131-139
[10]   Are Barriers to Physical Activity Similar for Adults With and Without Abnormal Glucose Metabolism? [J].
Hume, Clare ;
Dunstan, David ;
Salmon, Jo ;
Healy, Genevieve ;
Andrianopoulos, Nick ;
Owen, Neville .
DIABETES EDUCATOR, 2010, 36 (03) :495-502