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Artículos de revistas sobre el tema "Metabolic syndrome"

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Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 27 de julio de 2024

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1

Karimova, Maksuda Ahmedjanovna y Dilnoza Kakhramanovna Kurbanbaeva. "Problems Of Metabolic Syndrome". American Journal of Medical Sciences and Pharmaceutical Research 03, n.º 06 (10 de junio de 2021): 52–55. http://dx.doi.org/10.37547/tajmspr/volume03issue06-08.

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At the beginning of the third millennium, for mankind, which overcame the epidemic of life-threatening infections during its centuries-old history, the problem of cardiovascular diseases (CVD) came to the fore in relevance among all causes of morbidity and mortality. A significant role in this was played by lifestyle modification associated with limiting physical activity, increasing the calorie content of food, and a steady increase in emotional stress. All of this potentiates the main risk factors for CVD, which are a “negative asset of progress,” namely increased blood pressure (BP), dyslipidemia, diabetes mellitus (DM) and obesity. Since 1988, after G. Reaven's Banting lecture, it is customary to designate the interconnected combination of these pathologies by the single term "metabolic syndrome X".

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Vazira, Ashrabova y Saidov Saidamir. "METABOLIC SYNDROME: LITERATURE ANALYSIS". International Journal of Modern Medicine 03, n.º 07 (1 de julio de 2024): 12–23. http://dx.doi.org/10.55640/ijmm-03-07-03.

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MetS is a significant public health concern due to its association with severe health outcomes. Early identification and comprehensive management of MetS components are crucial in reducing the global burden of this syndrome. Further research is needed to refine diagnostic criteria, understand the underlying mechanisms, and develop more effective prevention and treatment strategies. The metabolic syndrome (MetS) is a group of illnesses that together better predict a person's risk of cardiovascular disease than any one of the illnesses alone. Human MetS risk is influenced by a combination of environmental and genetic variables. As MetS is a complex disorder with a startlingly high incidence rate these days, developing suitable experimental animal models that closely resemble the illness state in people is essential to resolving the challenges associated with assessing the pathophysiology of MetS in humans. The objective of this study is to provide an overview of the pathophysiology of dietary, genetic, and pharmaceutical models of metabolic syndrome. We will also go over the applicability, advantages, and disadvantages of various animal models. Despite the establishment of many animal models of MetS, more research on.

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3

Jeengar, Pooja y Madhubala Chauhan. "Association of metabolic syndrome in polycystic ovarian syndrome". New Indian Journal of OBGYN 3, n.º 2 (enero de 2017): 90–94. http://dx.doi.org/10.21276/obgyn.2017.3.2.5.

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STĂNESCU, Ana Maria Alexandra, Ana Maria GOANŢĂ, Roxana IGNĂTESCU, Ekua Asafoaba APPIAH, Ioana Veronica GRĂJDEANU y Lucian IONIŢĂ. "COMPARISON BETWEEN HUMANS AND ANIMAL DIAGNOSED WITH METABOLIC SYNDROME AND OBESITY ASSOCIATED METABOLIC PROBLEMS". Romanian Journal of Medical Practice 12, n.º 4 (31 de diciembre de 2017): 250–55. http://dx.doi.org/10.37897/rjmp.2017.4.14.

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Metabolic syndrome is an increasingly recognised problem worldwide. The diagnostic criteria may vary from country to country and between humans and animals. It is therefore essential to have a globally regulated diagnostic criteria for both animals and humans.

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Wikiera, Beata, Agnieszka Zubkiewicz-Kucharska, Julita Nocoń-Bohusz y Anna Noczyńska. "Metabolic disorders in polycystic ovary syndrome". Pediatric Endocrinology Diabetes and Metabolism 23, n.º 4 (2017): 204–8. http://dx.doi.org/10.18544/pedm-23.04.0094.

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Sapna Devi, A. "Metabolic Syndrome and VDR Gene Polymorphism". International Journal of Science and Research (IJSR) 13, n.º 2 (5 de febrero de 2024): 610–12. http://dx.doi.org/10.21275/sr24205120015.

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Siddharth Bharatbhai, Rajpura y Desai Archish Ishvarbhai. "Metabolic Syndrome among Polycystic Ovarian Syndrome: A Cross Sectional Study". Indian Journal of Obstetrics and Gynecology 7, n.º 1 (2019): 65–71. http://dx.doi.org/10.21088/ijog.2321.1636.7119.12.

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8

Shalaby, Adel. "Metabolic Syndrome". Al-Azhar Medical Journal 47, n.º 4 (1 de octubre de 2018): 1. http://dx.doi.org/10.21608/0053052.

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Mychka, Viktoriya Borisovna, Irina Evgen'evna Chazova, V. B. Mychka y I. E. Chazova. "Metabolic syndrome". Systemic Hypertension 6, n.º 1 (15 de marzo de 2009): 50–53. http://dx.doi.org/10.26442/sg33062.

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10

Lee, L. y R. A. Sanders. "Metabolic Syndrome". Pediatrics in Review 33, n.º 10 (1 de octubre de 2012): 459–68. http://dx.doi.org/10.1542/pir.33-10-459.

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11

Gogia, Atul y PK Agarwal. "Metabolic syndrome". Indian Journal of Medical Sciences 60, n.º 2 (2006): 72. http://dx.doi.org/10.4103/0019-5359.19918.

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12

Teramoto, Tamio, Jun Sasaki, Hirotsugu Ueshima, Genshi Egusa, Makoto Kinoshita, Kazuaki Shimamoto, Hiroyuki Daida et al. "Metabolic Syndrome". Journal of Atherosclerosis and Thrombosis 15, n.º 1 (2008): 1–5. http://dx.doi.org/10.5551/jat.e580.

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13

Kim, Ha-Na. "Metabolic Syndrome". Korean Journal of Family Practice 10, n.º 4 (20 de agosto de 2020): 239. http://dx.doi.org/10.21215/kjfp.2020.10.4.239.

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14

Anwer, Ayesha, Majid Kaleem, Hassan Abbas y Asif Hanif. "METABOLIC SYNDROME". Professional Medical Journal 25, n.º 02 (3 de febrero de 2018): 277–81. http://dx.doi.org/10.29309/tpmj/18.4175.

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15

Hashmi, Syed Fasih Ahmed, Mashooq Ali Dasti, Muhammad Sajid Abbas Jaffri, Syed Ali Raza, Shoaib Zahoor Junejo, Saeem Akhtar y Syed Zulfiquar Ali Shah. "METABOLIC SYNDROME". Professional Medical Journal 22, n.º 07 (10 de julio de 2015): 849–53. http://dx.doi.org/10.29309/tpmj/2015.22.07.1171.

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Objective: To determine the frequency of raised serum ferritin level in patientswith metabolic syndrome. Design: Case series study. Setting: Liaquat University HospitalHyderabad. Methods: All the patients with metabolic syndrome for ≥ 01 year duration, ≥20years of age and of either sex were recruited and entered in the study. The metabolic syndromewas detected according to the NCEP-ATP III protocol. After confirmation of metabolic syndrome,the 2cc venous blood sample was taken in a sterilize 5cc disposable syringe, labeled it andsent to laboratory for evaluation of serum ferritin levels. The data was analyzed in SPSS 16and the frequency and percentage was calculated. Results: Total one hundred patients withmetabolic syndrome were evaluated for serum ferritin level during the study period. The mean±SD for age of patients with metabolic syndrome was 52.73±7.83 while the mean age ±SDof patient with raised ferritin level was 50.23±8.21. The majority patients were 30-49 age groupwith female predominance (p<0.01) and exist four component of metabolic syndrome. Theferritin was raised in 60 patients with female predominance (p<0.04). The mean ± SD of raisedferritin level in male and female population was 350.10±19.38 and 270.34±34.39 (p<0.01).Conclusions: The raised serum ferritin level was identified (60%) with female predominance inpatients of metabolic syndrome.

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Adnan, Muhammad, Tayyaba Rahat, Naheed Hashmat y Zahra Ali. "METABOLIC SYNDROME;". Professional Medical Journal 24, n.º 04 (6 de abril de 2017): 539–44. http://dx.doi.org/10.29309/tpmj/2017.24.04.1442.

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Background: Metabolic syndrome and diabetes mellitus are the modifiable riskfactors of cardiovascular diseases that double the chance of illness when occur together. Littlework has been reported on the superlative criteria to diagnose metabolic syndrome amongdiabetics from the country. Therefore, the study was aimed to find the agreement betweenmetabolic syndrome diagnostic criteria among type 2 diabetics. Methods: The retrospectivedata of 373 known type 2 diabetics who had reported history of taking antidiabetic medicineswas analyzed. The new International Diabetes Federation definition, the World HealthOrganization criteria and the NCEP Adult Treatment Panel III criteria were used to diagnosemetabolic syndrome. Data was analyzed by using Statistical Package for Social Sciencesversion 21. Results: Mean age of 373 diabetics was 49±10 years. Participants included 36.5%males and 63.5% females. Mean BMI, WC and BP were high in females; while HDL-C waslow in males (p <0.05). The frequency of MS by ATP III, IDF and WHO criteria were 88.2%;87.4%; and 86.3%, respectively. Significant association was present between femininity, highersocioeconomic status and MS (p <0.05). ATP III criteria diagnosed the maximum number of MSfollowed by IDF and WHO criteria. The highest agreement was found between ATP III and IDFcriteria (k 0.487). More than 85.0% diabetics were diagnosed as true positive and true negativeon all three criteria. The disagreement between the studied criteria ranged from 5.1% to 8.0%.Conclusion: The ATP III, IDF and WHO criteria can equally be used to diagnose metabolicsyndrome among type 2 diabetics in the settings. However, ATP III and IDF criteria have anedge over WHO criteria. Increased rate of metabolic syndrome among diabetics have need ofserious attention to reduce the risk of cardiovascular events.

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Shaikh, Tariq Zaffar, Hamid Nawaz Ali Memon, Nisar Ahmed Shah, Syed Zulfiquar Ali Shah y Irfan Murtaza Shahwani. "METABOLIC SYNDROME". Professional Medical Journal 22, n.º 04 (10 de abril de 2015): 414–19. http://dx.doi.org/10.29309/tpmj/2015.22.04.1317.

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Objective: To determine the role of gamma glutamyltransferase as a biochemicalmarker for the diagnosis of metabolic syndrome. Study Design: Cross sectional descriptivestudy. Period: One year. Setting: Department of Medicine, Liaquat University HospitalHyderabad / Jamshoro. Methods: All the patients with metabolic syndrome visited at OPD /admitted in the ward were further evaluated for serum gamma-glutamyltransferase level. Thedata was analyzed in SPSS 16 and the frequency and percentage was calculated. Results:During one year study period, total one hundred patients (23 males and 77 were females) withmetabolic syndrome were recruited and study for gamma glutamyl transferase level. The meanage ±SD for overall population was 56.84±6.52 whereas it was 48.92±5.82 and 58.61±7.73in male and female population respectively. The mean ± SD of systolic and diastolic bloodpressure (mmHg), triglycerides (mg/dl), high density lipoprotein pressure (mg/dl) and fastingblood sugar (mg/dl) in overall population was 161.20 ± 16.74 and 95.60 ± 8.34, 176.38 ±11.93, 29.44 ± 2.90 and 108.42± 6.25. The mean gamma glutamyl transferase level in overallpopulation was 86.75±7.74 while it was 84.83±5.32 and 89.52±6.84 in male and femalepopulation respectively. The gamma-glutamyltransferase was raised in 75 patients of which13 were males and 62 were females (p=0.02) and majority of patients were 50-59 year agegroup (p <0.01). Conclusions: It is concluded that GGT is a good diagnostic tool in metabolicsyndrome with statistical significant results.

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18

SANDHU, GHAZANFAR ALI, SHAHID IQBAL, AHMED BILAL, Mohammad Mohsin Rana, Rehan Abdullah y Faraz Saeed Qureshi. "METABOLIC SYNDROME". Professional Medical Journal 18, n.º 03 (10 de septiembre de 2011): 454–61. http://dx.doi.org/10.29309/tpmj/2011.18.03.2366.

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Objective: To determine the frequency of metabolic syndrome in patients presenting with acute myocardial infarction (MI). Design: Cross –sectional, observational, multi center study. Place and duration: Allied Hospital Faisalabad from 01-01-2009 to 30-06-2010. Materials and Method: Any patient fulfilling the criteria of acute myocardial infarction were admitted and enrolled in the study during the study period. Demographic details, history and clinical examination of the patients were recorded on prescribed performa after securing an informed consent. Blood Pressure was recorded in lying posture from right arm and waist circumference measured at umbilical level in lying position. Blood sample was collected in fasting state for estimation of plasma glucose, serum HDL-cholesterol and serum triglycerides levels. Results: Out of 690 patients, 420(60.86%) were male and 270(39.14%) were females with average age 55.90±10.19. 40% males and 44% females had metabolic syndrome and incidence increased with age. Waist circumference was increased in 46.85% participants followed by increased fasting blood sugar (42%) levels. Conclusions: Frequency of metabolic syndrome was high among the patients with acute myocardial infarction. It supports the potential for preventive efforts in persons with high risk for acute myocardial infarction.

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19

Man, Alina Maria, Dorina Nastasia Petra, Anca Paula Şulea y Andreea Varga. "Metabolic syndrome". Medic.ro 5, n.º 143 (2021): 37. http://dx.doi.org/10.26416/med.143.5.2021.5539.

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20

Lee, Lana y Renata Arrington Sanders. "Metabolic Syndrome". Pediatrics In Review 33, n.º 10 (1 de octubre de 2012): 459–68. http://dx.doi.org/10.1542/pir.33.10.459.

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21

Shafeeq, Noorhan Khalid, Tamara Ala'a Hussein y Eiman AA Abass. "Metabolic Syndrome". Ibn AL- Haitham Journal For Pure and Applied Sciences 34, n.º 3 (1 de agosto de 2021): 26–38. http://dx.doi.org/10.30526/34.3.2675.

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Metabolic syndrome (MetS) is a combination of health disorders that mainly result from overweight and obesity. It increases the risk of developing cardiovascular disease and diabetes. (MetS) closely related to the existence weight gain or Obesity and laziness. It increases the serum levels of TNF-Î± and change the levels of a number of other parameters (e.g., adiponectin, resistin, and PAI-1). TNF-Î± dose not only appear to cause the production of inflammatory cytokines. It can trigger cell signaling by interacting with TNF-Î± receptors that can lead to insulin resistance. Usually, the digestive system molders the foods you eat and converts them to glucose. Insulin is an anabolic hormone produced by the pancreas that aids glucose get in your cells. To be utilize, as an energy source .Cells do not respond to insulin normally, and sugar cannot easily enter cells in people with insulin resistance. As outcome, blood glucose rises, until the body produces more insulin in an attempt to lower blood sugar. The following factors increase the chance of developing MetS as age increases the risk of developing MetS with age and ethnicity. In the United States, it appears that women of Mexican descent are more likely to develop MetS. Obesity carrying an extra amount of weight, especially in the abdomen, increases the risk of MetS. From this review, it stated that metabolic syndrome stands for the constellation of cardiovascular risk factors that raise the risk of cardiovascular arteriosclerosis and type 2 diabetes. Type 2 diabetes is a major global public health issue with more than 300 million people projected in 2025.

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22

Anwer, Ayesha, Majid Kaleem, Hassan Abbas y Asif Hanif. "METABOLIC SYNDROME". Professional Medical Journal 25, n.º 02 (10 de febrero de 2018): 277–81. http://dx.doi.org/10.29309/tpmj/2018.25.02.456.

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Objectives: The objective of this study was to investigate the importance ofindividual IHD risk factors and major components of the metabolic syndrome associated withIHD. Study Design: Descriptive cross sectional study. Setting: Cardiology Department ofGulab Devi Chest Hospital Lahore. Period: Nov, 2015 to Feb, 2016. Methodology: Patientsof either gender and from 20 to 90 year of age admitted with IHD via emergency departmentwere recruited after informed consent. The frequency of metabolic syndrome was evaluated inthese patients. In addition the individual component of metabolic syndrome as risk factor of IHDwas calculated. The data was analysed by using the SPSS version.16. Results: The metabolicsyndrome present in 44.67%of IHD patients and more prevalent in men 52% than in women48%. Total of 150 patients of IHD studied with both gender as male 94(63.33%) vs female 55(36.67%). The most common risk factor of metabolic syndrome for IHD was high blood pressurepresent in 75% of patients followed by diabetes in 50%, abdominal obesity 40.67%, low HDL42.67% and high TG in 32%. Conclusion: The metabolic syndrome is highly prevalent amongIHD patients especially in men. The most common risk factors are hypertension and diabetes.

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Sohail, Sumbul, Shabnum Nadeem y Fouzia Ali. "METABOLIC SYNDROME;". Professional Medical Journal 24, n.º 09 (8 de septiembre de 2017): 1286–94. http://dx.doi.org/10.29309/tpmj/2017.24.09.812.

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Metabolic syndrome is a congregation of central obesity, dyslipidemia, raised bloodsugar levels, increasing the individual’s susceptibility to Type II Diabetes and cardiovasculardiseases. Objectives: (1) To determine the prevalence of metabolic syndrome in young, urban,female population. (2) To determine the risk factors in poor, urban, female population. StudyDesign: This was a descriptive cross sectional study. Setting: The department of Gynae/Obst Unit II KMDC/Abbasi Shaheed hospital. Period: One year starting from January 2016 toDecember 2016. Material and Method: Approval was taken from ESRC of KMDC. All healthyasymptomatic married/single women between 18-49 years of age were included while women<18 or >50 years of age, diabetic, hypertensive or having bleeding disorders were excludedfrom study. Laboratory data included blood sugar, triglycerides, HDL-cholesterol, collected byphlebotomist from the participants in fasting state through venipuncture. A Chi-square test wasapplied to evaluate the association of demographic group variables and metabolic syndrome.P-value <0.05 was considered as statistically significant. There was no conflict of interest. Result:A total of 343 participants were recruited. The socio and demographic data is summarized inTable-I. The prevalence of Metabolic syndrome was found to be high. 227(66.2%) of participantswere having Metabolic syndrome according to NCEP ATP III criteria. 63(18.4 %) had history ofPIH while 52(15.2%) had family history of hypertension and 126(36.7 %) had family historyof both Hypertension and Diabetes. 232 (67.6 %) of women had sedentary life style and only3(0.9%) practiced aerobic exercises. 287(83.7%) had their waist circumference of >80cm, themean systolic blood pressure was 127.5 +-23.76 while the mean diastolic blood pressure was86.99+-57.36. The mean of BMI was at higher level 30.97+-6.41. Obesity is the most commonrisk factor for Metabolic syndrome. The mean of fasting blood sugar was 105.08+-42.16which was on higher side. The mean of Triglycerides 142.43+-61.12 and HDL 39.04+-12.45were within normal limits. Increased prevalence was observed in women who had PIH duringpregnancy and childbirth 25.1% v 5.2%(p value=0.001). Conclusion: Prevention and treatmentof metabolic syndrome is a big challenge. Lifestyle interventions should begin from the earlychildhood to reduce weight and to prevent development of obesity and metabolic syndrome.

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Khalid, Mahrukh, Touseef Anwar, Naveed ur Rehman y Muhammad Badar Bashir. "METABOLIC SYNDROME;". Professional Medical Journal 24, n.º 07 (3 de julio de 2017): 960–65. http://dx.doi.org/10.29309/tpmj/2017.24.07.1081.

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Introduction: Systemic lupus erythematosus (SLE) is a multiorgan autoimmunedisease with an increased incidence rate of thrombotic events (9–37%). Metabolic syndrome(MetS) may contribute to increased cardiovascular risk in (SLE). The Metabolic syndrome is moreprevalent in SLE patients than the general population and is associated with endothelial injuryand coronary atherosclerosis. Objective: To determine the frequency of metabolic syndromein systemic lupus erythematosus (SLE), patients presenting in a tertiary care hospital. StudyDesign: Cross-sectional survey. Study Settings: Medical out-patient Department of JinnahHospital Lahore. Duration of Study: Six months duration from 25th June 2014 to 26th December2014). Subjects and Methods: Non-probability purposive sampling was done on 78 SLEpatients (as per operational definition), which were enrolled after obtaining their written informedconsent. Metabolic syndrome was labeled as per operational definition. Data was recorded ona specially designed performa. Results: From 78 cases of SLE there were 4% male and 96%were female. The mean age was 20- 60 years with standard deviation of 40.21±10.67 years. Itwas observed that there were 38.5% cases of SLE with family history of CHD, 66.67% patientsof SLE were smokers, 48.7% patients had central obesity, 47.4% patients had high fastingblood glucose, 44.9% cases were with low HDL and 39.7% patients had high blood pressure.Metabolic syndrome was found in 33.3% patients of SLE. Metabolic syndrome was significantlyassociated with high blood pressure (p= 0.00), central obesity (p= 0.00), high blood glucose(p= 0.00), low HDL (p= 0.00) and gender p=0.01) but association with age (p=0.33), smoking(p=0.73) and family history of CHD (p=0.32) was not significant. Conclusion: The frequency ofmetabolic syndrome in SLE patients presenting in a tertiary care hospital was found to be 33%.Metabolic syndrome was significantly associated with SLE.

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Arai, Hidenori. "Metabolic syndrome". Nippon Ronen Igakkai Zasshi. Japanese Journal of Geriatrics 47, n.º 5 (2010): 412–14. http://dx.doi.org/10.3143/geriatrics.47.412.

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Kim, Mi Kyung y Jeong Hyun Park. "Metabolic syndrome". Journal of the Korean Medical Association 55, n.º 10 (2012): 1005. http://dx.doi.org/10.5124/jkma.2012.55.10.1005.

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Zullo, Melissa D., Mary A. Dolansky y Leila W. Jackson. "Metabolic Syndrome". Journal of Cardiopulmonary Rehabilitation and Prevention 31, n.º 2 (2011): 92–99. http://dx.doi.org/10.1097/hcr.0b013e3181f1fdb6.

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Lawrence, Clare y Matthew Lawrence. "Metabolic syndrome". InnovAiT: Education and inspiration for general practice 6, n.º 6 (junio de 2013): 349–53. http://dx.doi.org/10.1093/innovait_ins071.

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Ross, Stephanie Maxine. "Metabolic Syndrome". Holistic Nursing Practice 26, n.º 4 (2012): 228–30. http://dx.doi.org/10.1097/hnp.0b013e31825b192a.

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Kahn, Richard. "Metabolic Syndrome". Circulation 115, n.º 13 (3 de abril de 2007): 1806–11. http://dx.doi.org/10.1161/circulationaha.106.658336.

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McNamara, Anthony. "Metabolic syndrome". InnovAiT: Education and inspiration for general practice 12, n.º 10 (31 de julio de 2019): 582–88. http://dx.doi.org/10.1177/1755738019864615.

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Metabolic syndrome is the name given to a combination of cardiovascular risk factors. These include hyperinsulinaemia, impaired glucose tolerance, hypertension, central obesity and dyslipidaemia. People with metabolic syndrome have a high risk of developing type 2 diabetes, non-alcoholic fatty liver disease, and vascular conditions including coronary artery disease, peripheral vascular disease, and stroke. Central obesity can predispose to sleep apnoea and restrictive lung disease. For many years, it has been taught that the underlying mechanism of metabolic syndrome is insulin resistance secondary to obesity and inactivity, however, this somewhat simplistic model fails to accurately describe the complex interaction between three key factors: glucose, insulin and cortisol. This article will explain our current understanding of metabolic syndrome and how to treat it.

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Shalaby, Mohamed Adel. "Metabolic Syndrome". Al-Azhar Medical Journal 46, n.º 1 (enero de 2017): i—v. http://dx.doi.org/10.12816/0035529.

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Friedlander, Arthur H., Jane Weinreb, Ida Friedlander y John A. Yagiela. "Metabolic syndrome". Journal of the American Dental Association 138, n.º 2 (febrero de 2007): 179–87. http://dx.doi.org/10.14219/jada.archive.2007.0134.

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Varon, Frank. "METABOLIC SYNDROME". Journal of the American Dental Association 138, n.º 6 (junio de 2007): 710–11. http://dx.doi.org/10.14219/jada.archive.2007.0247.

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Khunti, Kamlesh y Melanie Davies. "Metabolic syndrome". BMJ 331, n.º 7526 (17 de noviembre de 2005): 1153–54. http://dx.doi.org/10.1136/bmj.331.7526.1153.

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Tzimas, Petros y Haralampos Milionis. "Metabolic Syndrome". Angiology 68, n.º 4 (29 de septiembre de 2016): 304–5. http://dx.doi.org/10.1177/0003319716669461.

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Abou Ziki, Maen D. y Arya Mani. "Metabolic syndrome". Current Opinion in Lipidology 27, n.º 2 (abril de 2016): 162–71. http://dx.doi.org/10.1097/mol.0000000000000276.

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Sesti, Giorgio, Massimo Volpe, Francesco Cosentino, Gaetano Crepaldi, Stefano Del Prato, Giuseppe Mancia, Enzo Manzato, Alessandro Menotti, Antonio Tiengo y Augusto Zaninelli. "Metabolic Syndrome". High Blood Pressure & Cardiovascular Prevention 13, n.º 4 (2006): 185–98. http://dx.doi.org/10.2165/00151642-200613040-00007.

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Dandona, Paresh, Ahmad Aljada, Ajay Chaudhuri, Priya Mohanty y Rajesh Garg. "Metabolic Syndrome". Circulation 111, n.º 11 (22 de marzo de 2005): 1448–54. http://dx.doi.org/10.1161/01.cir.0000158483.13093.9d.

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Han, TS y MEJ Lean. "Metabolic Syndrome". Medicine 31, n.º 4 (abril de 2003): 27–31. http://dx.doi.org/10.1383/medc.31.4.27.27966.

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Han, T. S. y M. E. J. Lean. "Metabolic syndrome". Medicine 34, n.º 12 (diciembre de 2006): 536–42. http://dx.doi.org/10.1053/j.mpmed.2006.09.012.

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Virgin, Sheila E. y Joan A. Schmitke. "Metabolic Syndrome". AAOHN Journal 51, n.º 1 (enero de 2003): 28–37. http://dx.doi.org/10.1177/216507990305100108.

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Corte, Claudia, Arianna Alterio y Valerio Nobili. "Metabolic syndrome". Italian Journal of Pediatrics 41, Suppl 2 (2015): A26. http://dx.doi.org/10.1186/1824-7288-41-s2-a26.

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Wilbanks, Sandy. "Metabolic Syndrome". Journal for Nurse Practitioners 9, n.º 7 (julio de 2013): 477. http://dx.doi.org/10.1016/j.nurpra.2013.05.008.

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Wilbanks, Sandy. "Metabolic Syndrome". Journal for Nurse Practitioners 9, n.º 7 (julio de 2013): e13. http://dx.doi.org/10.1016/j.nurpra.2013.05.009.

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Han, T. S. y M. E. J. Lean. "Metabolic syndrome". Medicine 39, n.º 1 (enero de 2011): 24–31. http://dx.doi.org/10.1016/j.mpmed.2010.10.010.

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Han, Thang S. y Michael E. J. Lean. "Metabolic syndrome". Medicine 43, n.º 2 (febrero de 2015): 80–87. http://dx.doi.org/10.1016/j.mpmed.2014.11.006.

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Dommermuth, Ron y Kristine Ewing. "Metabolic Syndrome". Primary Care: Clinics in Office Practice 45, n.º 1 (marzo de 2018): 109–29. http://dx.doi.org/10.1016/j.pop.2017.10.003.

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ROUHI, A. MAUREEN. "METABOLIC SYNDROME". Chemical & Engineering News Archive 82, n.º 47 (22 de noviembre de 2004): 83–102. http://dx.doi.org/10.1021/cen-v082n047.p083.

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