Determination of Physical Activity Levels, Quality of Life, Depression and Fatigue Severity of Individuals with Metabolic Syndrome

Büşra Sarikaya 1, Meral Sertel 2 *
More Detail
1 Physiotherapy and Rehabilitation Department, Health Sciences Faculty, Kirikkale University, Kirikkale, Turkey
2 Physiotherapy and Rehabilitation Department, Health Sciences Faculty, Bursa Uludag University, Bursa, Turkey
* Corresponding Author
J CLIN MED KAZ, Volume 23, Issue 4, pp. 66-74. https://doi.org/10.23950/jcmk/18887
OPEN ACCESS 253 Views 98 Downloads
Download Full Text (PDF)

ABSTRACT

Aim: The aim of this study is to assess the levels of physical activity, quality of life, depression, and fatigue severity in individuals with metabolic syndrome (MetS) and compare them with healthy individuals.
Methods: Participants diagnosed with MetS from the Department of Endocrinology and Metabolic Diseases and healthy individuals were included in the study. A total of 107 individuals with MetS and 107 healthy individuals participated in the study. Sociodemographic data of the individuals were queried using a prepared case form. The International Physical Activity Questionnaire (IPAQ) was used to determine the physical activity levels of the individuals, the SF-36 was used to assess their quality of life, the Beck Depression Scale (BDI) was used to determine their depression levels, and the Fatigue Severity Scale (FSS) was used to assess their fatigue levels.
Results: The mean age of individuals with MetS was 50.80±7.78 years, while healthy individuals had a mean age of 45.16±9.60 years. Statistical differences were found in IPAQ total scores, all SF-36 subscales, BDI, and FSS between individuals with MetS and healthy individuals (p<0.001).
Conclusion: According to the data obtained in our study, individuals with MetS have low levels of physical activity and quality of life, and they experience depression and fatigue problems. We believe that treatment protocols for this patient group should include studies focusing on physical activity levels, quality of life, depression, and fatigue levels.

CITATION

Sarikaya B, Sertel M. Determination of Physical Activity Levels, Quality of Life, Depression and Fatigue Severity of Individuals with Metabolic Syndrome. J CLIN MED KAZ. 2026;23(4):66-74. https://doi.org/10.23950/jcmk/18887

REFERENCES

  • Dobrowolski P, Prejbisz A, Kuryłowicz A, Baska A, Burchardt P, Chlebus K, Dzida G, Jankowski P, Jaroszewicz J, Jaworski P, Kamiński K, Kapłon-Cieślicka A, Klocek M, Kukla M, Mamcarz A, Mastalerz-Migas A, Narkiewicz K, Ostrowska L, Śliż D, Tarnowski W, Zdrojewski T, Banach M, Januszewicz A, Bogdański P. Metabolic syndrome – a new definition and management guidelines. Arch Med Sci. 2022; 18 (5): 1133–1156. https://doi.org/10.5114/aoms/152921
  • Kocyigit H, Gülseren Ş, Erol A, Hizli N, Memis A. The reliability and validity of the Turkish version of Quality of Life Questionnaire of the European Foundation for Osteoporosis (QUALEFFO). Clinical Rheumatology. 2003;22(1). https://doi.org/10.1007/s10067-002-0653-6
  • Gami AS, Witt BJ, Howard DE, Erwin PJ, Gami LA, Somers VK, Montori VM. Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies. Journal of the American College of Cardiology. 2007;49(4): 403-414. https://doi.org/10.1016/j.jacc.2006.09.032
  • Kılavuzu MS. Türkiye Endokrinoloji ve Metabolizma Derneği. Ankara, Tuna Matbaacılık. 2009; 25.
  • Gülcü F, Parmaksız A, Kıdır M, Gürsu F. Metabolic Syndrome. Firat Health Services Journal. 2006;1(3):23-32.
  • Strasser B. Physical activity in obesity and metabolic syndrome. Annals of the New York Academy of Sciences. 2013;1281(1): 141-159. https://doi.org/10.1111/j.1749-6632.2012.06785.x
  • Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. The Lancet. 2012; 380(9838):247-257. https://doi.org/10.1016/S0140-6736(12)60646-1
  • Bertrais S, Beyeme‐Ondoua JP, Czernichow S, Galan P, Hercberg S, Oppert JM. Sedentary behaviors, physical activity, and metabolic syndrome in middle-aged French subjects. Obesity Research. 2005;13(5):936-944. https://doi.org/10.1038/oby.2005.108
  • Watkins K, Connell CM. Measurement of health-related QOL in diabetes mellitus. Pharmacoeconomics. 2004; 22:1109-1126. https://doi.org/10.2165/00019053-200422170-00002
  • Roohafza H, Sadeghi M, Talaei M, Pourmoghaddas Z, Sarrafzadegan N. Psychological status and quality of life in relation to the metabolic syndrome: Isfahan Cohort Study. International Journal Of Endocrinology. 2012. https://doi.org/10.1155/2012/380902
  • Zhong W, Cruickshanks KJ, Schubert CR, Nieto FJ, Huang GH, Klein BE, Klein R. Obesity and depression symptoms in the Beaver Dam Offspring Study population. Depression and Anxiety. 2010;27(9):846-851. https://doi.org/10.1002/da.20666
  • Faith MS, Butryn M, Wadden TA, Fabricatore A, Nguyen AM, Heymsfield SB. Evidence for prospective associations among depression and obesity in population‐based studies. Obesity Reviews. 2011; 12(5): e438-e453. https://doi.org/10.1111/j.1467-789X.2010.00843.x
  • Safari M, Asadi A, Aryaeian N, Huseini HF, Shidfar F, Jazayeri S, Malek M, Hosseini AF, Hamidi Z. The effects of melissa officinalis on depression and anxiety in type 2 diabetes patients with depression: a randomized double-blinded placebo-controlled clinical trial. BMC Complementary Medicine and Therapies.2023;23:40. https://doi.org/10.1186/s12906-023-03978-x
  • Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A, International Chronic Fatigue Syndrome Study Group. The chronic fatigue syndrome: a comprehensive approach to its definition and study. Annals Of Internal Medicine. 1994; 121(12): 953-959. https://doi.org/10.7326/0003-4819-121-12-199412150-00009
  • Häkkinen A, Rinne M, Vasankari T, Santtila M, Häkkinen K, Kyröläinen H. Association of physical fitness with health-related quality of life in Finnish young men. Health Qual Life Outcomes. 2010; 29:8:15. https://doi.org/10.1186/1477-7525-8-15
  • Nutritional Strategies for the Diabetic/Prediabetic Patient. Mochonick JI, Brett EM. Ed. Kushner RF, Roth JL. Nutritional Strategies for Patients with Obesity and the Metabolic Syndrome. 1st Edition. 2006 ImprintCRC Press. Pages26. eBook ISBN9780429134463
  • Lidfeldt J, Nyberg P, Nerbrand C, Samsioe G, Scherstén B, Agardh CD. Socio-demographic and psychosocial factors are associated with features of the metabolic syndrome. The Women's Health in the Lund Area (WHILA) study. Diabetes, Obesity and Metabolism. 2003;5:106-112. https://doi.org/10.1046/j.1463-1326.2003.00250.x
  • Saglam M, Arikan H, Savci S, Inal-Ince D, Bosnak-Guclu M, Karabulut E, Tokgozoglu L. International Physical Activity Questionnaire: Reliability and Validity of the Turkish Version. Perceptual and Motor Skills. 2010; 111: 1, 278-284. https://doi.org/10.2466/06.08.PMS.111.4.278-284
  • Ware Jr JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care. 1992; 473-483. https://doi.org/10.1097/00005650-199206000-00002
  • Tegin B. Cognitive disorders in depression: A review according to Beck Model. Ankara. Psychology Journal. 1987;6:116-123.
  • Armutlu K, Keser İ, Korkmaz N, Akbıyık Dİ, Sümbüloğlu V, Güney Z, Karabudak R. Psychometric study of Turkish version of Fatigue Impact Scale in multiple sclerosis patients. Journal Of The Neurological Sciences. 2007; 255(1-2):64-68. https://doi.org/10.1016/j.jns.2007.01.073
  • Bolin JH, Hayes AF. Introduction to mediation, moderation, and conditional process analysis: A regression‐based approach. J. Educ.Meas. 2014;51(3):335-337. https://doi.org/10.1111/jedm.12050.
  • Noubiap JJ, Nansseu JR, Lontchi-Yimagou E, Nkeck JR, Nyaga UF, Ngouoe AT, Tounougae DN, Tianyig FL, Fokae AJ, Ndoadoumguej AL, Bignai JJ. Geographic distribution of metabolic syndrome and its components in the general adult population: A meta-analysis of global data from 28 million individuals. Diabetes Research and Clinical Practice. 2022; 188: 109924. https://doi.org/10.1016/j.diabres.2022.109924
  • Farrell SW, Cheng YJ, Blair SN. Prevalence of the metabolic syndrome across cardiorespiratory fitness levels in women. Obesity Research. 2004;12(5): 824-830. https://doi.org/10.1038/oby.2004.99
  • Çetin F, Güneş G, Özer A. Prevalence of metabolic syndrome, its relationship with mental health (anger) and sociodemographic characteristics in women residing in central district of Malatya: a cross-sectional observational study. Anadolu Kardiyol Derg. 2012; 12: 53-9. https://doi.org/10.5152/akd.2012.010
  • Bulut S. Sağlıkta sosyal bir belirleyici; fiziksel aktivite. Turkish Bulletin of Hygiene & Experimental Biology/Türk Hijyen ve Deneysel Biyoloji. 2013;70(4).
  • World Health Organization. Global status report on noncommunicable diseases 2014 (No. WHO/NMH/NVI/15.1). World Health Organization. 2014.
  • Alpözgen AZ, Özdinçler AR. Physical activity and its protective effects: A review. Sağlık Bilimleri ve Meslekleri Dergisi. 2016; 3(1): 66-72.
  • Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. The Lancet. 2012; 380(9838): 219-229. https://doi.org/10.1016/S0140-6736(12)61031-9
  • Oliveira RGD, Guedes DP. Physical activity, sedentary behavior, cardiorespiratory fitness and metabolic syndrome in adolescents: systematic review and meta-analysis of observational evidence. PLoS ONE. 2016; 11(12):e0168503. https://doi.org/10.1371/journal.pone.0168503
  • He D, Xi B, Xue J, Huai P, Zhang M, Li J. Association between leisure time physical activity and metabolic syndrome: a meta-analysis of prospective cohort studies. Endocrine. 2014; 46: 231-240. https://doi.org/10.1007/s12020-013-0110-0
  • Zhang F, Huang L, Peng L. The Degree of Influence of Daily Physical Activity on Quality of Life in Type 2 Diabetics. Front. Psychol. 2020; 11. https://doi.org/10.3389/fpsyg.2020.01292
  • Slagter SN, van Vliet-Ostaptchouk JV, van Beek AP, Keers JC, Lutgers HL, van der Klauw MM, Wolffenbuttel BH. Health-related quality of life in relation to obesity grade, type 2 diabetes, metabolic syndrome and inflammation. PLoS ONE. 2015; 10(10): e0140599. https://doi.org/10.1371/journal.pone.0140599
  • Hassan MK, Joshi AV, Madhavan SS, Amonkar MM. Obesity and health-related quality of life: a cross-sectional analysis of the US population. International Journal Of Obesity. 2003;27(10):1227-1232. https://doi.org/10.1038/sj.ijo.0802396
  • Eren İ, Erdi Ö. Frequency of psychiatric disorders in obese patients. Klinik Psikiyatri. 2003; 6(3): 152-157.
  • Gulliford MC, Mahabir D. Relationship of health-related quality of life to symptom severity in diabetes mellitus: a study in Trinidad and Tobago. Journal Of Clinical Epidemiology. 1999; 52(8): 773-780. https://doi.org/10.1016/S0895-4356(99)00053-0
  • Brown ES, Varghese FP, McEwen BS. Association of depression with medical illness: does cortisol play a role?. Biological Psychiatry. 2004;55(1): 1-9. https://doi.org/10.1016/S0006-3223(03)00473-6
  • Demir D. Metabolik Sendrom, Comparison of Sociodemographic, Anthropometric and Biochemical Characteristics of Type 2 Diabetes Mellitus and Healthy Individuals. Konuralp Medical Journal. 2010;2(1):12-19.
  • Tsai AG, Wadden TA, Sarwer DB, Berkowitz RI, Womble LG, Hesson LA, Phelan S, Rothman R. Metabolic syndrome and health-related quality of life in obese individuals seeking weight reduction. Obesity. 2008;16(1):59-63. https://doi.org/10.1038/oby.2007.8
  • Dunbar JA, Reddy P, Davis-Lameloise N, Philpot B, Laatikainen T, Kilkkinen A, Bunker SJ, Best JD, Vartiainen E, Lo SK, Janus ED. Depression: an important comorbidity with metabolic syndrome in a general population. Diabetes Care. 2008; 31(12): 2368-2373. https://doi.org/10.2337/dc08-0175
  • Leite AA, Costa AJG, Lima BDAMD, Padilha AVL, Albuquerque ECD, Marques CDL. Comorbidities in patients with osteoarthritis: frequency and impact on pain and physical function. Revista Brasileira de Reumatologia. 2011; 51:118-123. https://doi.org/10.1590/S0482-50042011000200002
  • Zhao G, Ford ES, Dhingra S, Li C, Strine TW, Mokdad AH. Depression and anxiety among US adults: associations with body mass index. International Journal Of Obesity. 2009; 33(2): 257-266. https://doi.org/10.1038/ijo.2008.268
  • Brown ES, Varghese FP, McEwen BS. Association of depression with medical illness: does cortisol play a role? Biological Psychiatry. 2004;55(1):1-9. https://doi.org/10.1016/S0006-3223(03)00473-6
  • Maloney EM, Boneva RS, Lin JMS, Reeves WC. Chronic fatigue syndrome is associated with metabolic syndrome: results from a case-control study in Georgia. Metabolism. 2010; 59(9): 1351-1357. https://doi.org/10.1016/j.metabol.2009.12.019
  • Seo BN, Kim I. Differences of stress, sleep quality and metabolic syndrome by prolonged fatigue in early adulthood. Korean Journal of Adult Nursing. 2019; 31(2): 202-210. https://doi.org/10.7475/kjan.2019.31.2.202
  • Bozkaya DN. Variables affecting diabetes symptoms, self-management and care dependency in individuals with Type 2 diabetes using insulin. Master Thesis, Ankara, 2022.
  • Seo YM, Hahm JR, Kim TK, Choi WH. Factors affecting fatigue in patients with type II diabetes mellitus in Korea. Asian Nursing Research. 2015;9(1): 60-64. https://doi.org/10.1016/j.anr.2014.09.004
  • Azak A, Altundağ S, Sert H, Çınar S. Acute fatigue syndrome and affecting factors in patients with Type II diabetes mellitus. Firat Health Services Journal. 2008;22(2): 73-76.