Qatar's Silent Epidemic: A Comprehensive Meta-analysis on the
Prevalence of Metabolic Syndrome

Sarah      Aqel; Jamil      Ahmad; Sebawe      Syaj; Majd   N.   Daoud; Bashar      Araiqat

doi:10.2174/0115733998286706240129074153

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Abstract

Background: Metabolic syndrome comprises various conditions like abdominal obesity, insulin resistance, elevated triglyceride levels, reduced HDL, and high blood pressure, which pose significant health challenges globally. It's imperative to determine its prevalence in specific populations to formulate effective preventive measures.

Objective: This systematic review and meta-analysis aimed to determine the prevalence of metabolic syndrome in the Qatari population.

Methods: Using the PRISMA guidelines, a systematic search was executed on PubMed until July 2023 with keywords "Metabolic syndrome" and "Qatar." Eligibility criteria included human subjects, studies assessing metabolic syndrome components, and research conducted in Qatar or on Qatari subjects. The quality of the studies was evaluated using the Newcastle-Ottawa Scale (NOS). Pooled prevalence rates were calculated using the inverse variance weighting metaanalysis.

Results: Out of 237 studies, 14 met our inclusion criteria, with a combined sample size of 14,772 from the Qatari population. The overall pooled prevalence of metabolic syndrome was 26%. The ATP III and IDF criteria exhibited significant differences in prevalence rates, with the IDF criteria showing a higher prevalence. Age ≥ 40 years demonstrated a higher prevalence compared to the younger group. Studies post-2018 reported a decreasing trend in metabolic syndrome prevalence.

Conclusion: The prevalence of metabolic syndrome in the Qatari population is comparable to rates in the Middle East. The study underscores the need for tailored interventions and strategies, especially targeting the older age group. Continuous research and monitoring are essential to track and understand the disease's progression in Qatar.

[1]
Li W, Qiu X, Ma H, Geng Q. Incidence and long-term specific mortality trends of metabolic syndrome in the United States. Front Endocrinol  2022; 13: 1029736.

[2]
Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet  2012; 380(9859): 2224-60.
 [http://dx.doi.org/10.1016/S0140-6736(12)61766-8] [PMID:  23245609]

[3]
Gigante A, Iannazzo F, Navarini L, et al. Metabolic syndrome and adipokine levels in systemic lupus erythematosus and systemic sclerosis. Clin Rheumatol  2021; 40(10): 4253-8.
 [http://dx.doi.org/10.1007/s10067-021-05731-6] [PMID:  33839992]

[4]
Zhu L, Spence C, Yang WJ, Ma GX. The IDF definition is better suited for screening metabolic syndrome and estimating risks of diabetes in asian american adults: Evidence from NHANES 2011–2016. J Clin Med  2020; 9(12): 3871.
 [http://dx.doi.org/10.3390/jcm9123871] [PMID:  33260754]

[5]
Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome. Circulation  2005; 112(17): 2735-52.
 [http://dx.doi.org/10.1161/CIRCULATIONAHA.105.169404] [PMID:  16157765]

[6]
Alberti KGMM, Zimmet P, Shaw J. Metabolic syndrome-a new world‐wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med  2006; 23(5): 469-80.
 [http://dx.doi.org/10.1111/j.1464-5491.2006.01858.x] [PMID:  16681555]

[7]
Alberti KGMM, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome. Circulation  2009; 120(16): 1640-5.
 [http://dx.doi.org/10.1161/CIRCULATIONAHA.109.192644] [PMID:  19805654]

[8]
Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan—a web and mobile app for systematic reviews. Syst Rev  2016; 5(1): 210.
 [http://dx.doi.org/10.1186/s13643-016-0384-4] [PMID:  27919275]

[9]
Houeiss P, Njeim R, Tamim H, et al. Urinary 20-HETE: A prospective Non-Invasive prognostic and diagnostic marker for diabetic kidney disease. J Adv Res  2023; 44: 109-17.
 [http://dx.doi.org/10.1016/j.jare.2022.04.013] [PMID:  36725183]

[10]
Al Shammaa A, Al-Thani A, Al-Kaabi M, Al-Saeed K, Alanazi M, Shi Z. Serum magnesium is inversely associated with body composition and metabolic syndrome. Diabetes Metab Syndr Obes  2023; 16: 95-104.
 [http://dx.doi.org/10.2147/DMSO.S391369] [PMID:  36760601]

[11]
Alsuwaidi HN, Ahmed AI, Alkorbi HA, et al. Association between metabolic syndrome and decline in cognitive function: A cross-sectional study. Diabetes Metab Syndr Obes  2023; 16: 849-59.
 [http://dx.doi.org/10.2147/DMSO.S393282] [PMID:  36974329]

[12]
Ibrahim T, Ahmed AF, Nofal M, Hegazy A, Ghomrawi HMK. Metabolic syndrome and the likelihood of knee pain and functional disability: Evidence from a large middle eastern population-based study. BMC Musculoskelet Disord  2023; 24(1): 634.
 [http://dx.doi.org/10.1186/s12891-023-06685-3] [PMID:  37542219]

[13]
Rizk N, Amin M, Yousef M. Yousef. A pilot study on metabolic syndrome and its associated features among Qatari schoolchildren. Int J Gen Med  2011; 4: 521-5.
 [http://dx.doi.org/10.2147/IJGM.S21103] [PMID:  21845059]

[14]
Ismail MS. Metabolic syndrome among obese Qataris attending primary health care centers in Doha, 2010. J Family Community Med  2012; 19(1): 7-11.
 [http://dx.doi.org/10.4103/2230-8229.94004] [PMID:  22518352]

[15]
Bener A, Al-Hamaq AOAA, Dafeeah EE. A two fold risk of metabolic syndrome in a sample of patients with schizophrenia: Do consanguinity and family history increase risk? Diabetes Metab Syndr  2014; 8(1): 24-9.
 [http://dx.doi.org/10.1016/j.dsx.2013.10.003] [PMID:  24661754]

[16]
Bener A, Yousafzai MT, Darwish S, Al-Hamaq AOAA, Nasralla EA, Abdul-Ghani M. Obesity index that better predict metabolic syndrome: Body mass index, waist circumference, waist hip ratio, or waist height ratio. J Obes  2013; 2013: 269038.

[17]
Al Thani M, Al Thani A, Al-Chetachi W, et al. A ‘high risk’ lifestyle pattern is associated with metabolic syndrome among qatari women of reproductive age: A cross-sectional national study. Int J Mol Sci  2016; 17(6): 698.
 [http://dx.doi.org/10.3390/ijms17060698] [PMID:  27271596]

[18]
Al-Thani MH, Al-Thani AAM, Cheema S, et al. Prevalence and determinants of metabolic syndrome in Qatar: Results from a National Health Survey. BMJ Open  2016; 6(9): e009514.
 [http://dx.doi.org/10.1136/bmjopen-2015-009514] [PMID:  27601485]

[19]
Hammoudeh S, Ghuloum S, Mahfoud Z, et al. The prevalence of metabolic syndrome in patients receiving antipsychotics in Qatar: A cross sectional comparative study. BMC Psychiatry  2018; 18(1): 81.
 [http://dx.doi.org/10.1186/s12888-018-1662-6] [PMID:  29587717]

[20]
Ganji V, Sukik A, Alaayesh H, Rasoulinejad H, Shraim M. Serum vitamin D concentrations are inversely related to prevalence of metabolic syndrome in Qatari women. Biofactors  2020; 46(1): 180-6.
 [http://dx.doi.org/10.1002/biof.1572] [PMID:  31512799]

[21]
Hamed N, Soliman A, De Sanctis V, et al. The prevalence of the different components of the metabolic syndrome (Mets) in obese nondiabetic children and young adolescents and their anthropometric data in relation to parents. Acta Biomed  2021; 92(4): e2021321.
 [PMID:  34487087]

[22]
Mir FA, Mall R, Iskandarani A, et al. Characteristic MicroRNAs linked to dysregulated metabolic pathways in Qatari adult subjects with obesity and metabolic syndrome. Front Endocrinol  2022; 13: 937089.
 [http://dx.doi.org/10.3389/fendo.2022.937089] [PMID:  35937842]

[23]
Al-Dabhani K, Tsilidis KK, Murphy N, et al. Prevalence of vitamin D deficiency and association with metabolic syndrome in a Qatari population. Nutr Diabetes  2017; 7(4): e263.
 [http://dx.doi.org/10.1038/nutd.2017.14] [PMID:  28394362]

[24]
Rochlani Y, Pothineni NV, Kovelamudi S, Mehta JL. Metabolic syndrome: Pathophysiology, management, and modulation by natural compounds. Ther Adv Cardiovasc Dis  2017; 11(8): 215.
 [http://dx.doi.org/10.1177/1753944717711379]

[25]
Ansarimoghaddam A, Adineh HA, Zareban I, Iranpour S. HosseinZadeh A, Kh F. Prevalence of metabolic syndrome in Middle-East countries: Meta-analysis of cross-sectional studies. Diabetes Metab Syndr  2018; 12(2): 195-201.
 [http://dx.doi.org/10.1016/j.dsx.2017.11.004] [PMID:  29203060]

[26]
Garvey WT, Ryan DH, Henry R, et al. Prevention of type 2 diabetes in subjects with prediabetes and metabolic syndrome treated with phentermine and topiramate extended release. Diabetes Care  2014; 37(4): 912-21.
 [http://dx.doi.org/10.2337/dc13-1518] [PMID:  24103901]

[27]
Regufe VMG, Pinto CMCB, Perez PMVHC. Metabolic syndrome in type 2 diabetic patients: A review of current evidence. Porto Biomed J  2020; 5(6): e101.
 [http://dx.doi.org/10.1097/j.pbj.0000000000000101] [PMID:  33299950]

[28]
Shin S, Jee H. Prevalence of metabolic syndrome in the Gulf Cooperation Council countries: Meta-analysis of cross-sectional studies. J Exerc Rehabil  2020; 16(1): 27-35.
 [http://dx.doi.org/10.12965/jer.1938758.379] [PMID:  32161732]

[29]
Chackrewarthy S, Gunasekera D, Pathmeswaren A, et al. A comparison between revised NCEP ATP III and IDF definitions in diagnosing metabolic syndrome in an urban Sri Lankan population: The ragama health study. ISRN Endocrinol  2013; 2013: 1-7.
 [http://dx.doi.org/10.1155/2013/320176] [PMID:  23533799]

[30]
Gundogan K, Bayram F, Gedik V, Kaya A, Karaman A, Demir O. Metabolic syndrome prevalence according to ATP III and IDF criteria and related factors in Turkish adults. Arch Med Sci  2013; 9(2): 243.
 [http://dx.doi.org/10.5114/aoms.2013.34560]

[31]
Sliem HA, Ahmed S, Nemr N, El-Sherif I. Metabolic syndrome in the middle east. Indian J Endocrinol Metab  2012; 16(1): 67.
 [http://dx.doi.org/10.4103/2230-8210.91193]

[32]
Lean MEJ. Pathophysiology of obesity. Proc Nutr Soc  2000; 59(3): 331-6.
 [http://dx.doi.org/10.1017/S0029665100000379] [PMID:  10997648]

[33]
Kassi E, Pervanidou P, Kaltsas G, Chrousos G. Metabolic syndrome: Definitions and controversies. BMC Med  2011; 9(1): 48.
 [http://dx.doi.org/10.1186/1741-7015-9-48] [PMID:  21542944]

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DOI https://dx.doi.org/10.2174/0115733998286706240129074153	Print ISSN 1573-3998
Publisher Name Bentham Science Publisher	Online ISSN 1875-6417

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