Prevalence of metabolic syndrome in patients with minor beta thalassemia and its related factors: a cross-sectional study
© Gozashti et al.; licensee BioMed Central. 2014
Received: 16 June 2014
Accepted: 26 October 2014
Published: 31 December 2014
Atherosclerotic disorders, hypertension and lipid profile alterations are of a lower prevalence in patients with minor beta thalassemia. On the other hand, nowadays, metabolic syndrome is considered as one of the major risk factors of developing cardiovascular diseases. Therefore, the present study was performed to determine the prevalence of metabolic syndrome in patients with minor beta thalassemia.
In this case-control study, body length, weight and waist circumference, blood pressure, fasting blood sugar [FBS], triglyceride, cholesterol, HDL, and LDL levels were determined in 150 patients with minor beta thalassemia and 300 healthy individuals as control group [matched based on age and sex]. The prevalence of metabolic syndrome was calculated based on ATPIII criteria. Data were analyzed through SPSS16 software package.
The prevalence of metabolic syndrome was 12.7% in the thalassemia group and 36.7% in the control group [p < 0.0001]. In the patient group, 3 ones [8.3%] of those with metabolic syndrome were male and 16 ones [14%] were female [p = 0.5]. Mean age of patients with metabolic syndrome was 39.4 ± 8.5 years and mean age of those without metabolic syndrome was 36.4 ± 7.8 years [p = 0.1]. Mean BMI of those with metabolic syndrome was 31.3 ± 4.1 kg/m2 and that of those without metabolic syndrome was 24.2 ± 4.4 kg/m2 [p < 0.0001].
The obtained results show lower prevalence of metabolic syndrome in patients with minor thalassemia. Moreover, the prevalence of metabolic syndrome in patients with minor thalassemia showed no relationship with sex and age and these patients had just higher BMI.
KeywordsMetabolic syndrome Minor thalassemia Prevalence
Since 1960s, a relationship has been found between cardiovascular diseases and high level of serum triglyceride, severe obesity, insulin resistance, glucose intolerance and hypertension -. In 1988, for the first time, Reavan suggested the term of metabolic syndrome for combination of these cardiovascular factors . Since insulin resistance has been considered as an underlying cause of risk factors and consequently development of diabetes and cardiovascular diseases -, insulin resistance syndrome was used as another term for metabolic syndrome . Genetic and racial factors and life style have role in metabolic syndrome -.
Although there are several criteria for the diagnosis of metabolic syndrome, the most applicable one is clinical diagnosis based on specified criteria of ATPIII [Adult Treatment Panel III] and IDF [International Diabetes Federation] ,.
Today, metabolic syndrome is considered as one of the important problems of both developed and developing countries and its prevalence increases with urbanization increase -. The prevalence of metabolic syndrome has been reported 33.7% in a study on blood sugar and lipid levels of Tehran citizens .
In a study performed on rural and urban populations of Isfahan and Arak in 2006, the prevalence of metabolic syndrome, based on ATPIII criteria, has been reported approximately 21.9% in Iranian adults of central districts . The prevalence of metabolic syndrome, based on a study performed on 984 citizens of Babol on 2009, was 31% .
Thalassemia is a heterogenic group of inherited anemia occurs due to the mutation in the gene related to the synthesis of hemoglobin beta- or alpha- chains. Patients with minor beta thalassemia have usually no problem clinically, but show a type of microcytic hypochromic anemia .
In a study performed on minor beta thalassemia carriers in Sardinia, not only LDL (low density of lipoprotein) level of thalassemia patients was lower compared to the control group, but also they showed significant decrease of Apo A and Apo B. Indeed, some alterations in LDL and HDL protein content have been reported and the researchers have suggested that in minor beta thalassemia patients, myocardial infarction happens 10 years later in comparison to the control group . In Crowley et al. study  on patients with myocardial infarction, the frequency of minor beta thalassemia was significantly lower and this disease had acted as a protective factor .
In Gallerani et al. study , a negative relationship between acute myocardial infarction and minor beta thalassemia was observed only in male patients . According to Wang and Schilling study , the prevalence of minor beta thalassemia in patients with myocardial infarction is significantly lower than the control group . Another study has also showed lower levels of total cholesterol and LDL in minor beta thalassemia patients .
Several studies have shown that hypertension and blood lipid disorders are less frequent in persons with minor beta thalassemia as compared to the normal population. On the other hand, nowadays, metabolic syndrome is considered as one of the major risk factors of developing cardiovascular diseases and diabetes. In the case of lower prevalence of metabolic syndrome in minor beta thalassemia patients, further studies can be performed in order to determine the cause of this fact and consequently causes of developing this syndrome.
Since the prevalence of metabolic syndrome in minor beta thalassemia patients have not been determined so far, we attempted to compare minor beta thalassemia patients with normal population in regard to the prevalence of metabolic syndrome.
This study was a case-control study. Our patients included 150 minor beta thalassemia patients. Subjects were parents of major beta thalassemia patients, aged ≥ 20 years and were randomly selected from the files in Samen-ol-hojaj Center for Special Diseases in Kerman/ Iran. In the case of patient refusal to participate in the study, another patient was substituted. A total of 300 healthy volunteered individuals matched for age and sex were selected as control group. They are selected from patients’ relatives or the center personnel. All subjects were ensured of the confidentiality of their information and were enrolled into the study after obtaining their written informed consent by center staffs. This study was approved by Kerman University of Medical Science.
After 12 hours fasting, FBS, triglyceride, cholesterol, HDL and LDL levels were determined by enzymatic methods. Body length and weight, waist circumference and blood pressure of subjects were recorded.
Weight was measured with the subject in least clothing and stocking feet [without shoes] by a digital scale with 100 g precision. Body length was measured by a tape while the subject was in standing position and stocking feet and shoulders were in normal position. Waist circumference was measured at narrowest point and at the end of normal exhalation by using a flexible tape without compressing skin and with 0.1 mm precision. [Waist circumference is attributed to the circumference at the novel and parallel to the crest of ilium measured with flexible tape]. Blood pressure was measured by a trained person and with standard methods. It was measured after 15 minutes relaxing in sitting position with right arm at heart level and supported by a firm rest. Mean of two measurements with 15 minutes interval was considered as the blood pressure of the subject. Subjects were emphasized not to consume tea, coffee, congestion iodine or to smoke cigarette 30 minutes prior to the blood pressure measurement.
In order to diagnose minor thalassemia MENTZER index, defined as ratio of MCV to RBC was used. In the case of MCV/RBC > 13, the diagnosis of minor thalassemia is confirmed . Then, metabolic syndrome was calculated based on ATPIII criteria.
Abdominal obesity: waist circumference more than 102 cm in men and more than 88 cm in women.
TG ≥ 150 mg/dl or receiving medication for high triglyceride.
HDL cholesterol < 40 mg/dl in women or receiving medication for low HDL.
Blood pressure ≥ 130/85 mm/hg or receiving medicinal treatment for hypertension.
Fasting Plasma Glucose [FPG] ≥ 100 mg/dl or receiving medication for high FPG .
According to ATPIII criteria, hypertension is attributed to blood pressure ≥ 130/85 mm/hg, hypertriglyceridemia is attributed to TG ≥ 150 mg/dl, carbohydrate metabolism disorder is attributed to FBS ≥ 100 mg/dl, low HDL is attributed to HDL < 40 mg/dl in men and HDL < 50 mg/dl in women and abnormal waist circumference is attributed to waist circumference > 102 cm in men and > 85 cm in women.
Data analysis was performed through SPSS18 and using t-test and Chi-square for comparison of respectively quantitative and qualitative data. Significant statistical level was considered as p < 0.05. Statistical analysis of data were done by calculating mean, median, standard error, range of qualitative data and number and percent of quantitative data.
Demographic, anthropometric and clinical characteristics of two studied groups
Thalassemia group [n = 150]
Control group [n = 300]
36.8 ± 7.9
36.6 ± 7.9
25.1 ± 5
26.3 ± 4.7
Waist circumference1 [cm]
79.1 ± 16.8
83.6 ± 11.1
Systolic blood pressure3 [mm/hg]
Diastolic blood pressure3 [mm/hg]
Total Cholesterol3 [mg/dl]
From patients with metabolic syndrome in thalassemia group, 3 ones [8.3%] were male and 16 ones [14%] were female that shows no significant difference [p = 0.5].
Mean age of patients with metabolic syndrome in thalassemia group was 39.4 ± 8.5 years and in the control group it was 36.4 ± 7.8 years that shows no significant difference [p = 0.1]. In thalassemia group, mean BMI of patients with and without metabolic syndrome was respectively 31.3 ± 4.1 and 24.2 ± 4.4 that shows significant difference [p < 0.0001, Independent t-test].
Comparison of the two studied groups in regard to abdominal obesity and metabolic disorders [Chi-square]
Thalassemia group [%]
Control group [%]
Carbohydrates metabolism disorder
In the thalassemia group, 13 ones [8.7%] and in the control group, 17 ones [5.7%] had diabetes [FBS ≥ 126 mg/dl], but this difference was not statistically significant [p = 0.2].
This case-control study showed that based on ATP criteria, the prevalence of metabolic syndrome in thalassemia patients is lower than that in normal population [16.7% vs. 36.7%].
In the present study, no significant difference was found between males and females with beta thalassemia in regard to developing metabolic syndrome. Indeed, in patients with minor beta thalassemia, no significant age difference was found between patients with metabolic syndrome and those without metabolic syndrome; even though, subjects with metabolic syndrome had higher BMI.
In the present study, in minor beta thalassemia group, carbohydrates metabolism disorder and in the control group, low HDL had the highest prevalence.
The prevalence of metabolic syndrome shows great variations among developing countries and has been reported from 13% in China to 30% in Iran .
In the national study for determining risk factors of non-communicable diseases performed in 2007 on 3027 Iranian persons aged 25-64 years living in 30 provinces, the prevalence of metabolic syndrome, based on ATPIII, was reported 34.7% with higher prevalence in females, urban residents and age group of 55-64 years .
In Tehran sugar and lipid study, the prevalence of metabolic syndrome was reported 33.7% and in both sexes it showed increase with age increase, though this increase was more in females . In Fakhrzadeh et al. study on residents of one of the Tehran areas, the prevalence of metabolic syndrome was 29.9%. Moreover, sexual difference in relation to the prevalence of metabolic syndrome was seen. In the mentioned study, hypertriglyceridemia and hypertension were more frequent disorders seen in more than half of the population . In another study performed on urban population of Zanjan/ Iran in 2009, the prevalence of metabolic syndrome was 23.7% with no difference in the two sexes and it showed increase with age increase. Moreover, low HDL showed the highest prevalence among other disorders . In an epidemiologic cross-sectional study in Semnan province performed on 30-70 year old subjects on 2012, prevalence of metabolic syndrome, based on ATPIII criteria was 28.5% that showed an increase with age increase in both sexes, but it was more for females. Among risk factors of metabolic syndrome, based on ATPIII, high triglyceride had the highest prevalence .
In the present study, subjects with metabolic syndrome had significantly lower plasma levels of cholesterol and LDL and higher HDL level.
Hashemieh et al.  performed a study on lipid profile of 100 minor thalassemia patients and observed significant lower cholesterol and LDL levels in this group compared to normal subjects, but other factors [TG, HDL, VLD] showed no difference . In Bordbar et al. study  performed on minor and major beta thalassemia patients in south Iran, lower triglyceride, cholesterol, LDL and HDL levels were seen in thalassemia patients compared to normal subjects .
In another study on major and minor thalassemia patients, performed by Haghpanah et al. , patient group and control group showed no difference in triglyceride level, while cholesterol and LDL levels of patients with major and minor thalassemia were lower compared to the control group and HDL level of minor thalassemia patients was lower than that of the control group .
In the present study, patient group had higher blood pressure and blood sugar compared to the control group, but diabetes and hypertension was not more prevalent in them. Further studies in regard to the prevalence of diabetes in thalassemia patients are recommended.
There was a limitation to this study. The study included only subjects who referred to Samen-ol-hojaj center for special disease. We suggest further studies with a sample size from community to confirm our findings.
In general, metabolic syndrome has high prevalence in our country and is a health burden for our society. Therefore, more knowledge about this condition and factors affecting it seem to be necessary. The obtained results show lower prevalence of metabolic syndrome among minor thalassemia patients in comparison to the national statistics and propose minor thalassemia as a protective factor in metabolic syndrome. It is hoped that investigations on the mechanisms of this protective effect could suggest a solution for controlling this health problem.
One of the advantages of the present study is the fact that it has been performed for the first time in Iran.
The authors would like to thank Vice Chancellor for Research, Kerman University of Medical Sciences for financial support of this project and also Samen-ol-Hojaj center for Special Diseases and all those who helped doing this study. The present manuscript was extracted from the data of the thesis in General Medicine.
- Larsen K, Melmed P: Williams Textbook of Endocrinology. 10th edition. 2003.Google Scholar
- Defronzo RA, Ferrannini E: Insulin resistance. A multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care 1991, 14: 173. 10.2337/diacare.14.3.173View ArticlePubMedGoogle Scholar
- Koh KK, Han SH, Quou MJ: Inflammatory markers and the metabolic syndrome insighst from therapeutic interventions. J Am CollCardiol 2005, 46: 1978. 10.1016/j.jacc.2005.06.082View ArticleGoogle Scholar
- Lindsay RS, Howard BV: Cardiovascular risk associated with the metabolic syndrome. CurrDiab Rep 2004, 4: 63.Google Scholar
- Reaven GM: Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 1988, 37: 159. 10.2337/diab.37.1.28View ArticleGoogle Scholar
- Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults: Executive Summary of the third Report of the National Cholesterol Education program [NCEP] Expert panel on Detection, Evaluation, And Treatment of Hight Blood Cholesterol in Adults [Adul Treatment Panel III] JAMA 2001, 285: 2486. 10.1001/jama.285.19.2486View ArticleGoogle Scholar
- Eckel RH, Grundy SM, Zimmet PZ: The metabolic syndrome. Lancet 2005, 365: 1415. 10.1016/S0140-6736(05)66378-7View ArticlePubMedGoogle Scholar
- Conus F, Allison DB, Rabasa-Lhoret R, St-Onge M, St-Pierre DH, Tremblay-Lebeau A, Poehlman ET: Metabolic and behavioral characteristics of metabolically obese but normal-weight women. J Clin Endocrinol Metab 2004, 89: 5013. 10.1210/jc.2004-0265View ArticlePubMedGoogle Scholar
- Ferrannini E, Haffner SM, Mitchell BD, Stern MP: Hyperinsulinaemia: the key feature of a cardiovascular and metabolic syndrome. Diabetologia 1991, 34: 416. 10.1007/BF00403180View ArticlePubMedGoogle Scholar
- Haffner SM, Valdez RA, Hazuda HP, Hazuda HP, Mitchell BD, Morales PA, Stern MP: Prospective analysis of insulin-resistance syndrome [syndrome X]. Diabetes 1992, 41: 715. 10.2337/diab.41.6.715View ArticlePubMedGoogle Scholar
- Azizi F, Etemadi A, Salehi P, ZahediAsl S: Prevalence of metabolic syndrome in an urban population: Tehran Lipid and Glucose Study. Tehran Med Sch J 2003, 61(5):99–389. [In Persian]Google Scholar
- GhariPour M, Baghei A, Boshtam M, Rabiei K: Prevalence of metabolic syndrome among the adults of central of areas of Iran [as part of "Isfahan Healthy Heart Study"]. Birjand Med Sch J 2006, 13(3):56–62. [In Persian]Google Scholar
- Agajani Delavar M, Lye M-S, Lin Khor G, Hanachi P, Syed Hassan S: Prevalence of metabolic syndrome among middle aged women in Babol, Iran, Southeast Asian. J Trop Med Pub Health 2009, 40: 612–628.Google Scholar
- Hashemi M, Shirzadi E: Effect of heterozygous beta –thalassemia trait on coronary atherosclerosis via coronary artery disease risk factors;a preliminary study.cardiovasc. J Afr 2007, 18(3):165–168.Google Scholar
- Deiana L, Garuti R: Influnce of beta thalassemia on the phenotypic expression of heterozygous familial hyper cholesteromia;A study of patients with familial hyper cholesterolemia from Sardinia. AHA 2000, 20: 236–243.Google Scholar
- Crowley JP, Sheth S, Capone RJ, Schilling RF: A paucity of thalassemia trait in Italian men with myocardial infarction. Acta Haematol 1987, 78: 249–251. 10.1159/000205887View ArticlePubMedGoogle Scholar
- Gallerani M, Scapldi C, Cicognani L, Ricci A, Martinelli L, Cappato R, Manfredini R, Dall'Ara G, Faggioli M, Pareschi PL: Thlssemi trait and myocardial infarction ;low infarction incidence in male subjects confirmed. J Inter 1991, 230: 109–111.Google Scholar
- Wang CH, Schilling RF: Myocardial infarction and thalassemia triat; an example of hetrozygote advantage. Am J Hematol 1995, 491: 73–75. 10.1002/ajh.2830490112View ArticleGoogle Scholar
- Maioli M, Pettinato SM, Cherchi GM, Giraudi D, Pacifico A, Pupita G, Tidore MG: Plasma lipid in beta thalassemia minor. Athersclerosis 1989, 752: 245–248. 10.1016/0021-9150(89)90182-2View ArticleGoogle Scholar
- SavadKoohi F, HosseiniTabatabaei SMT, Haghbin F: Evaluation of the Mentzer index in the screening of minor Thalassemia, Zahedan. J Res Medicak Sci (Tabib-e-shargh) 2002, 4(3):123–128.Google Scholar
- National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III: 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) final report Circulation 2002, 106(25):3143–3421.Google Scholar
- Pan W, Yeh W, Weng L: Epidemiology of metabolic syndrome in Asia. Asia Pac J ClinNutr 2008, 17(S1):37–42.Google Scholar
- Delavari A, Forouzanfar MH, Alikhani S, Sharifian A, Kelishadi R: First nationwide study of the prevalence of the metabolic syndrome and optimal cutoff points of waist circumference in the Middle East: the national survey of risk factors for noncommunicable diseases of Iran. Diabetes Care 2009, 32(6):1092–1097. 10.2337/dc08-1800View ArticlePubMedPubMed CentralGoogle Scholar
- Fakhrzadeh H, Ebrahimpour P, Pourebrahim R, Heshmat R, Larijani B: Metabolic syndrome and its associated risk factors in healthy adults: a population-based study in Iran. Metab Syndr Relat Disord 2006, 4(1):28–34. 10.1089/met.2006.4.28View ArticlePubMedGoogle Scholar
- Sharifi F, Mousavinasab SN, Saeini M, Dinmohammadi M: Prevalence of metabolic syndrome in an adult urban population of the west of Iran. Exp Diabetes Res 2009, 2009: 136501. 10.1155/2009/136501View ArticlePubMedPubMed CentralGoogle Scholar
- Raheb G, Bahareh A, Rahimeh E, Ali R-P, Mohammad Ebrahim Khamseh MM: Prevalence of metabolic syndrome according to ATPIII and IDF criteria in the Iranian population. Kumesh J 2012, 14(1):65–75.Google Scholar
- Hashemieh M, Javadzadeh M, Shirkavand A, Sheibani K: Lipid profile in minor thalassemic patients: a historical cohort study. Bangladesh Med Res Counc Bull 2011, 37(1):24–27. 10.3329/bmrcb.v37i1.7795View ArticlePubMedGoogle Scholar
- Bordbar M, Haghpanah S, Afrasiabi A, Dehbozorgian J, Karimi M: Genotype-phenotype correlation related to lipid profile in beta-thalassemia major and intermedia in southern Iran. J Clin Lipido 2012, 6(2):108–113. 10.1016/j.jacl.2011.12.005View ArticleGoogle Scholar
- Haghpanah S, Davani M, Samadi B, Ashrafi A, Karimi M: Serum lipid profiles in patients with beta-thalassemia major and intermedia in southern Iran. J Res Med Sci 2010, 15(3):150–154.PubMedPubMed CentralGoogle Scholar
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