Displaying publications 1 - 20 of 155 in total

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  1. Chan WK, George J
    J Gastroenterol Hepatol, 2024 Apr;39(4):613-614.
    PMID: 38357837 DOI: 10.1111/jgh.16507
    Matched MeSH terms: Metabolic Syndrome X*
  2. Zhang L, El-Shabrawi M, Baur LA, Byrne CD, Targher G, Kehar M, et al.
    Med, 2024 Jul 12;5(7):797-815.e2.
    PMID: 38677287 DOI: 10.1016/j.medj.2024.03.017
    BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent in children and adolescents, particularly those with obesity. NAFLD is considered a hepatic manifestation of the metabolic syndrome due to its close associations with abdominal obesity, insulin resistance, and atherogenic dyslipidemia. Experts have proposed an alternative terminology, metabolic dysfunction-associated fatty liver disease (MAFLD), to better reflect its pathophysiology. This study aimed to develop consensus statements and recommendations for pediatric MAFLD through collaboration among international experts.

    METHODS: A group of 65 experts from 35 countries and six continents, including pediatricians, hepatologists, and endocrinologists, participated in a consensus development process. The process encompassed various aspects of pediatric MAFLD, including epidemiology, mechanisms, screening, and management.

    FINDINGS: In round 1, we received 65 surveys from 35 countries and analyzed these results, which informed us that 73.3% of respondents agreed with 20 draft statements while 23.8% agreed somewhat. The mean percentage of agreement or somewhat agreement increased to 80.85% and 15.75%, respectively, in round 2. The final statements covered a wide range of topics related to epidemiology, pathophysiology, and strategies for screening and managing pediatric MAFLD.

    CONCLUSIONS: The consensus statements and recommendations developed by an international expert panel serve to optimize clinical outcomes and improve the quality of life for children and adolescents with MAFLD. These findings emphasize the need for standardized approaches in diagnosing and treating pediatric MAFLD.

    FUNDING: This work was funded by the National Natural Science Foundation of China (82070588, 82370577), the National Key R&D Program of China (2023YFA1800801), National High Level Hospital Clinical Research Funding (2022-PUMCH-C-014), the Wuxi Taihu Talent Plan (DJTD202106), and the Medical Key Discipline Program of Wuxi Health Commission (ZDXK2021007).

    Matched MeSH terms: Metabolic Syndrome X/diagnosis; Metabolic Syndrome X/metabolism; Metabolic Syndrome X/epidemiology; Metabolic Syndrome X/therapy
  3. Safaei M, Sundararajan EA, Driss M, Boulila W, Shapi'i A
    Comput Biol Med, 2021 09;136:104754.
    PMID: 34426171 DOI: 10.1016/j.compbiomed.2021.104754
    Obesity is considered a principal public health concern and ranked as the fifth foremost reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that leads to further health concerns and contributes to numerous chronic diseases, including cancers, diabetes, metabolic syndrome, and cardiovascular diseases. The World Health Organization also predicted that 30% of death in the world will be initiated with lifestyle diseases in 2030 and can be stopped through the suitable identification and addressing of associated risk factors and behavioral involvement policies. Thus, detecting and diagnosing obesity as early as possible is crucial. Therefore, the machine learning approach is a promising solution to early predictions of obesity and the risk of overweight because it can offer quick, immediate, and accurate identification of risk factors and condition likelihoods. The present study conducted a systematic literature review to examine obesity research and machine learning techniques for the prevention and treatment of obesity from 2010 to 2020. Accordingly, 93 papers are identified from the review articles as primary studies from an initial pool of over 700 papers addressing obesity. Consequently, this study initially recognized the significant potential factors that influence and cause adult obesity. Next, the main diseases and health consequences of obesity and overweight are investigated. Ultimately, this study recognized the machine learning methods that can be used for the prediction of obesity. Finally, this study seeks to support decision-makers looking to understand the impact of obesity on health in the general population and identify outcomes that can be used to guide health authorities and public health to further mitigate threats and effectively guide obese people globally.
    Matched MeSH terms: Metabolic Syndrome X*
  4. Muthuraman A, Ramesh M, Shaikh SA, Aswinprakash S, Jagadeesh D
    Drug Metab Lett, 2021;14(3):177-192.
    PMID: 34895129 DOI: 10.2174/1872312814666211210111820
    Cysteine is one of the major intermediate products of cellular amino-acid metabolism. It is a semi-essential amino acid for protein synthesis. Besides, it is also employed in the regulation of major endogenous anti-oxidant molecule i.e., reduced glutathione (GSH). Further, it is a precursor of multiple sulfur-containing molecules like hydrogen sulfide, lanthionine, taurine, coenzyme A and biotin. It is also one of the key molecules for post-translational modifications of various cellular proteins. In physiological conditions, it is employed in the sulfhydration process and plays a key role in the physiology modification of the inflammatory process in various organs, including the neurological system. The catabolism of cysteine is regulated by cysteine dioxygenase enzyme activity. The dysregulated conditions of cysteine and cysteine-associated hydrogen sulfide metabolism are widely employed in the acceleration of the neurodegenerative process. Moreover, the upregulation of cysteine and hydrogen sulfide synthesis occurs via the reverse trans-sulfuration process. This process helps to manage the worsening of a pathological condition of a cellular system. Moreover, it is also employed in the accumulation of homocysteine contents. Further, both cysteine and homocysteine molecules are widely accepted as biomarkers for various types of diseases. Therefore, the targets involved in the regulation of cysteine have been considered as valid targets to treat various disorders like cardiac disease, ischemic stroke, diabetes, cancer, and renal dysfunction.
    Matched MeSH terms: Metabolic Syndrome X*
  5. Thor SM, Yau JW, Ramadas A
    PLoS One, 2021;16(9):e0257433.
    PMID: 34520483 DOI: 10.1371/journal.pone.0257433
    Metabolic syndrome (MetS) is frequently associated with various health issues and is a major contributor to morbidity and mortality worldwide, particularly with its recent relevance to coronavirus disease 2019 (COVID-19). To combat its increasing prevalence in Southeast Asia, numerous intervention programs have been implemented. We conducted a scoping review on recent interventions to manage MetS among Southeast Asians using standard methodologies. Cochrane, Embase, Ovid MEDLINE, PubMed, and Scopus databases were systematically searched to yield peer-reviewed articles published between 2010-2020. We included 13 articles describing 11 unique interventions in four Southeast Asian countries: Malaysia, Thailand, Indonesia, and Vietnam. These interventions were broadly categorized into four groups: (i) nutrition (n = 4); (ii) physical activity (n = 2); (iii) nutrition and physical activity (n = 2); and (iv) multi-intervention (n = 3). Most studies investigated the effects of an intervention on components of MetS, which are anthropometry, blood pressure, glucose-related parameters, and lipid profile. Significant improvements ranged from 50% of studies reporting serum triglyceride and HDL-cholesterol levels to 100% for waist circumference. Evidence on interventions for individuals with MetS remains limited in Southeast Asia. More studies from other countries in this region are needed, especially on the effects of dietary interventions, to effectively address gaps in knowledge and provide sufficient data to design the ideal intervention for Southeast Asian populations.
    Matched MeSH terms: Metabolic Syndrome X/blood; Metabolic Syndrome X/diet therapy; Metabolic Syndrome X/epidemiology*; Metabolic Syndrome X/therapy*
  6. Hashim KN, Chin KY, Ahmad F
    Molecules, 2021 Feb 04;26(4).
    PMID: 33557218 DOI: 10.3390/molecules26040808
    Metabolic syndrome is a constellation of five risk factors comprising central obesity, hyperglycaemia, dyslipidaemia, and hypertension, which predispose a person to cardiometabolic diseases. Many studies reported the beneficial effects of honey in reversing metabolic syndrome through its antiobesity, hypoglycaemic, hypolipidaemic, and hypotensive actions. This review aims to provide an overview of the mechanism of honey in reversing metabolic syndrome. The therapeutic effects of honey largely depend on the antioxidant and anti-inflammatory properties of its polyphenol and flavonoid contents. Polyphenols, such as caffeic acid, p-coumaric acid, and gallic acid, are some of the phenolic acids known to have antiobesity and antihyperlipidaemic properties. They could inhibit the gene expression of sterol regulatory element-binding transcription factor 1 and its target lipogenic enzyme, fatty acid synthase (FAS). Meanwhile, caffeic acid and quercetin in honey are also known to reduce body weight and fat mass. In addition, fructooligosaccharides in honey are also known to alter lipid metabolism by reducing FAS activity. The fructose and phenolic acids might contribute to the hypoglycaemic properties of honey through the phosphatidylinositol 3-kinase/protein kinase B insulin signalling pathway. Honey can increase the expression of Akt and decrease the expression of nuclear factor-kappa B. Quercetin, a component of honey, can improve vasodilation by enhancing nitric oxide production via endothelial nitric oxide synthase and stimulate calcium-activated potassium channels. In conclusion, honey can be used as a functional food or adjuvant therapy to prevent and manage metabolic syndrome.
    Matched MeSH terms: Metabolic Syndrome X/drug therapy*
  7. Bahrom NH, Ramli AS, Isa MR, Abdul-Hamid H, Badlishah-Sham SF, Baharudin N, et al.
    J Prim Care Community Health, 2020 6 9;11:2150132720931301.
    PMID: 32507012 DOI: 10.1177/2150132720931301
    Background: High activation level has been associated with higher education background, better self-rated health status, and having adequate health literacy. However, there is a gap in the literature regarding the level of activation and the factors associated with it among patients with metabolic syndrome (MetS) in the Malaysian primary care setting. Objectives: This study aims to determine activation levels and the factors associated with high activation among individuals with MetS in primary care. Methods: A cross-sectional study was conducted at a university primary care clinic. Patient activation was measured using the Patient Activation Measure®-13 Malay version. Activation levels were dichotomized into "low activation" (levels 1 and 2) and "high activation" (levels 3 and 4). To determine the factors associated with high activation, simple logistic regressions (SLogR) followed by multiple logistic regressions (MLogR) were performed. Results: Of 333 participants, 280 (84.1%) were included in the final analysis. The mean activation score was 59.4 (SD ±10.20) and 61.8% had high activation level. Two variables were found to be significant on MLogR. Those who were employed have the odds of 3.135 (95% CI 1.442-6.816) of having high activation compared with those who were unemployed. Those with good self-reported health status have the odds of 6.482 (95% CI 1.243-33.792) of having high activation compared to those with poor self-reported health status. Conclusions: The majority of participants had high activation levels. Those who were employed and those who had good self-reported health status were more likely to have high activation levels. Findings of this study could be used to develop patient activation interventions to improve self-management skills among individuals with MetS in primary care. These may include problem solving support, individualized care plans, peer or family support, and skill building. Those in high activation group can be trained to become mentors to support their peers who have low activation level.
    Matched MeSH terms: Metabolic Syndrome X*
  8. Chuah KH, Chan WK
    Aliment Pharmacol Ther, 2020 06;51(12):1429-1430.
    PMID: 32445522 DOI: 10.1111/apt.15700
    Matched MeSH terms: Metabolic Syndrome X*
  9. Sahar NH, Badlishah-Sham SF, Ramli AS
    PMID: 34502011 DOI: 10.3390/ijerph18179405
    Self-management support is one of the most important components of the Chronic Care Model (CCM). The EMPOWER-SUSTAIN Global Cardiovascular Risks Self-Management Booklet© was developed for patients with Metabolic Syndrome (MetS), inspired by the CCM. Assessing usability of a self-management tool is important in chronic disease management. However, there was no available instrument to assess usability of a self-management booklet, as most instruments were developed to assess usability of mobile application. Therefore, this study aimed to adapt Skala Kebolehgunaan Aplikasi Mudah Alih (SKAMA) into the EMPOWER-SUSTAIN Usability Questionnaire (E-SUQ) and to determine its validity and reliability in assessing usability of a self-management booklet. A cross-sectional validation study was conducted among patients with MetS attending a university primary care clinic in Selangor, Malaysia. Content validation, adaptation and face validation of E-SUQ were performed according to recommended guidelines. It underwent two rounds of content validation as major revision was required for item 5. Subsequently, the revised E-SUQ was face-validated by 10 participants. Psychometric evaluation was conducted using principal component analysis with varimax rotation to determine the underlying structure of E-SUQ. Internal consistency reliability was assessed using Cronbach's α coefficient and the test-retest reliability was assessed using intraclass correlation coefficient (ICC (2,k)). A total of 205 patients participated in the study. The item-level content-validity-index (I-CVI) for item 5 improved from 0.57 to 1.0 after the second round of content validation. The final S-CVI/Ave value for ESUQ was >0.90. The item-level face-validity-index (I-FVI) ranged between 0.9 and 1.0. Kaiser-Meyer-Olkin value of 0.871 and Bartlett's test of sphericity p-value of <0.05 indicated good sample adequacy for factor analysis. Two factors with eigenvalues of >1 were extracted according to the Kaiser's Criteria. The two extracted factors explained 60.6% of the cumulative percentage of variance. The elbow of the scree plot occurred between the second and third component, suggesting two factors to be retained. The two factors were consistent with "Positive" and "Negative" tone model. The overall Cronbach's α coefficient was 0.77, indicating good internal reliability. The overall ICC was 0.85, indicating good reproducibility. The E-SUQ is shown to be valid, reliable and stable to measure the usability of a self-management booklet among patients with MetS in a university primary care clinic in Malaysia.
    Matched MeSH terms: Metabolic Syndrome X*
  10. Muhammad Abdul Kadar NN, Ahmad F, Teoh SL, Yahaya MF
    Molecules, 2021 Sep 09;26(18).
    PMID: 34576959 DOI: 10.3390/molecules26185490
    Metabolic syndrome (MetS) is a constellation of risk factors that may lead to a more sinister disease. Raised blood pressure, dyslipidemia in the form of elevated triglycerides and lowered high-density lipoprotein cholesterol, raised fasting glucose, and central obesity are the risk factors that could lead to full-blown diabetes, heart disease, and many others. With increasing sedentary lifestyles, coupled with the current COVID-19 pandemic, the numbers of people affected with MetS will be expected to grow in the coming years. While keeping these factors checked with the polypharmacy available currently, there is no single strategy that can halt or minimize the effect of MetS to patients. This opens the door for a more natural way of controlling the disease. Caffeic acid (CA) is a phytonutrient belonging to the flavonoids that can be found in abundance in plants, fruits, and vegetables. CA possesses a wide range of beneficial properties from antioxidant, immunomodulatory, antimicrobial, neuroprotective, antianxiolytic, antiproliferative, and anti-inflammatory activities. This review discusses the current discovery of the effect of CA against MetS.
    Matched MeSH terms: Metabolic Syndrome X/drug therapy*
  11. Wan KS, Mat Rifin H, Mohd Yusoff MF, Yoga Ratnam KK, Chan WK, Mohamad M, et al.
    BMJ Open, 2023 Oct 27;13(10):e074432.
    PMID: 37890968 DOI: 10.1136/bmjopen-2023-074432
    INTRODUCTION: Metabolic syndrome (MetS) is a cluster of cardio-metabolic dysfunctions characterised by increased fasting plasma glucose, waist circumference, blood pressure, triglycerides and reduction in high-density lipoprotein cholesterol. Meanwhile, metabolic dysfunction-associated fatty liver disease (MAFLD) is the new term for fatty liver associated with MetS. People with MetS or MAFLD have higher risks for adverse cardiovascular outcomes and mortalities. However, large-scale data on MetS and MAFLD prevalence in Malaysia is mainly unknown. This study aims to determine the prevalence of MetS and MAFLD among the general adult population in Malaysia.

    METHODS AND ANALYSIS: This is a community-based nationwide cross-sectional study in Malaysia. The data collection period is from July 2023 until September 2023, with a planned sample size of 1296 participants. We use a two-stage proportionate stratified random sampling method to ensure national representativeness. The definition of MetS follows the Harmonised Joint Interim Statement in 2009. A diagnosis of MAFLD is made if a participant has fatty liver, defined as having a Fatty Liver Index ≥60 and has type 2 diabetes, a body mass index ≥23 kg/m2, or ≥2 metabolic risk abnormalities. Complex sample analysis will be conducted, and the disease prevalence will be reported with 95% CIs, unweighted counts and estimated populations.

    ETHICS AND DISSEMINATION: The protocol has been approved by the Medical Research and Ethics Committee of the Ministry of Health Malaysia (NMRR ID-22-02845-GUT). The findings will be disseminated through a formal report, policy brief, scientific publications, conference presentations, social media, print media and stakeholder engagement activities.

    Matched MeSH terms: Metabolic Syndrome X*
  12. Salaish Kumar S, Mhd Jalil AM, Hussin N, Mat Daud Z', Ismail A
    Biosci Biotechnol Biochem, 2024 Mar 22;88(4):352-360.
    PMID: 38285609 DOI: 10.1093/bbb/zbae011
    Studies indicated that cocoa-based products effectively mitigate the risks associated with metabolic syndrome (MetS), however, the effect varies based on cocoa types, dosages, and study durations. This review aimed to determine the flavanol-rich cocoa consumption on MetS outcomes within the last decade (2013-2023), adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Seven randomized-controlled trials (RCTs) used cocoa-based products containing 0.3-1680 mg flavanol monomers and 3.5-1270 mg procyanidins. Cocoa-based products beneficially reduced glycemic response, blood pressure and lipid profiles. However, this review highlights little evidence pinpointing the best cocoa products type and required dosage for the observed effects. Further intervention aiming to improve MetS should justify the selection and concentration of flavanols (monomers and procyanidins). A robust study design should consider registering the trials before study commencement, consider multicenter RCT trials, and adjust for potential covariates that might "masked" the outcomes.
    Matched MeSH terms: Metabolic Syndrome X*
  13. Bakhtiari A, Yassin Z, Hanachi P, Rahmat A, Ahmad Z, Sajadi P, et al.
    Iran J Public Health, 2012;41(4):9-18.
    PMID: 23113160
    BACKGROUND: To examine the effects of soy [in the form of textured soy protein (TSP) and soy-nut] on body composition in elderly women with metabolic syndrome (MetS).
    METHODS: A 12-week randomized clinical trial was conducted on 75 women between 60-70 years of age with MetS in rural health clinics around Babol, Iran in 2009. The participants were randomly assigned to one of the three groups of soy-nut (35g/d), TSP (35g/d) and control. Body fat, lean mass and anthropometric indicators were measured before and after intervention, too.
    RESULTS: Participants were classified as overweight and showing android fat distribution. After 12 weeks of intervention, both soy-nut and TSP groups showed an increase of non-significant in lean mass (0.9 and 0.7 kg), hip circumference (0.45 and 0.28 cm), triceps skinfold (TSF) thickness (0.87 and 0.67mm) and reduction in BMI (-0.15 and -0.33), waist circumference (-0.83 and -1.2) and body fat (-1.5% and -1.7%). Significant increase in the mean change of TSF and lean mass was observed in the users of soy-nut compared to the control group (P<0.01, P<0.05).
    CONCLUSION: 12-week intervention of soy had a mild favorable effect on body composition in elderly women with MetS.
    KEYWORDS: Body composition; Metabolic syndrome; Older women; Soy
    Matched MeSH terms: Metabolic Syndrome X*
  14. Daud MH, Ramli AS, Abdul-Razak S, Isa MR, Yusoff FH, Baharudin N, et al.
    Trials, 2020 Apr 05;21(1):311.
    PMID: 32248825 DOI: 10.1186/s13063-020-04237-x
    BACKGROUND: Epidemiological studies conducted in various parts of the world have clearly demonstrated that metabolic syndrome (MetS) is an increasing global health problem, not only in Western societies but also in Asian populations. Web-based and mobile phone-based self-management applications have been proven to be effective in improving self-management behaviour of patients with MetS components (i.e., diabetes or hypertension). However, evidence is lacking in terms of their effectiveness specifically for patients with MetS. The aim of this pilot study is to evaluate the feasibility and potential effectiveness of the EMPOWER-SUSTAIN Self-Management e-Health Intervention in improving activation and self-management behaviours among patients with MetS. This paper presents the study protocol.

    METHODS: A pilot randomised controlled trial will be conducted in a university primary care clinic. A total of 232 patients aged 18-60 years with MetS will be recruited; 116 will be randomised to receive the EMPOWER-SUSTAIN intervention for 6 months, and another 116 patients will continue with usual care. The EMPOWER-SUSTAIN intervention is a multifaceted chronic disease management strategy based on the Chronic Care Model and persuasive technology theory. It consists of training primary care physicians, nurses and patients to use the EMPOWER-SUSTAIN web-based self-management mobile app, strengthening the patient-physician relationship and reinforcing the use of relevant clinical practice guidelines to guide management and prescribing. The primary outcome is the mean change in patient activation score using the Patient Activation Measure short form Malay version (PAM-13-M) questionnaire. The secondary outcomes include the changes in waist circumference, body mass index, blood pressure, patient physical activity level, eating behaviour, perception of chronic illness care, satisfaction with patient-physician interaction, and perceived absolute 10-year cardiovascular disease risk. Feasibility of implementing the intervention will be evaluated. This includes acceptability of the intervention, estimating the likely rate of participant recruitment and retention, appropriateness of the outcome measures, calculation of sample size, and the intervention's potential effectiveness.

    CONCLUSION: To our knowledge, this is the first study in Malaysia that aims to determine the feasibility of a multifaceted e-health intervention, as well as to indicate more useful aspects of this intervention for further exploration in a larger trial.

    TRIAL REGISTRATION: ClinicalTrials.gov, NCT04120779. Registered on 9 October 2019, protocol version 1.
    Matched MeSH terms: Metabolic Syndrome X
  15. Chan AML, Ng AMH, Mohd Yunus MH, Idrus RBH, Law JX, Yazid MD, et al.
    Nutrients, 2021 Jul 22;13(8).
    PMID: 34444658 DOI: 10.3390/nu13082497
    Metabolic syndrome (MetS) is the physiological clustering of hypertension, hyperglycemia, hyperinsulinemia, dyslipidemia, and insulin resistance. The MetS-related chronic illnesses encompass obesity, the cardiovascular system, renal operation, hepatic function, oncology, and mortality. To perform pre-clinical research, it is imperative that these symptoms be successfully induced and optimized in lower taxonomy. Therefore, novel and future applications for a disease model, if proven valid, can be extrapolated to humans. MetS model establishment is evaluated based on the significance of selected test parameters, paradigm shifts from new discoveries, and the accessibility of the latest technology or advanced methodologies. Ultimately, the outcome of animal studies should be advantageous for human clinical trials and solidify their position in advanced medicine for clinicians to treat and adapt to serious or specific medical situations. Rodents (Rattus norvegicus and Mus musculus) have been ideal models for mammalian studies since the 18th century and have been mapped extensively. This review compiles and compares studies published in the past five years between the multitude of rodent comparative models. The response factors, niche parameters, and replicability of diet protocols are also compiled and analyzed to offer insight into MetS-related disease-specific modelling.
    Matched MeSH terms: Metabolic Syndrome X/blood; Metabolic Syndrome X/etiology*; Metabolic Syndrome X/physiopathology
  16. Heng BC, Aubel D, Fussenegger M
    Curr Opin Biotechnol, 2015 Dec;35:37-45.
    PMID: 25679308 DOI: 10.1016/j.copbio.2015.01.010
    Synthetic biology makes inroads into clinical therapy with the debut of closed-loop prosthetic gene networks specifically designed to treat human diseases. Prosthetic networks are synthetic sensor/effector devices that could functionally integrate and interface with host metabolism to monitor disease states and coordinate appropriate therapeutic responses in a self-sufficient, timely and automatic manner. Prosthetic networks hold particular promise for the current global epidemic of closely interrelated metabolic disorders encompassing obesity, type 2 diabetes, hypertension and hyperlipidaemia, which arise from the unhealthy lifestyle and dietary factors in the modern urbanised world. This review will critically examine the various attempts at constructing prosthetic gene networks for the treatment of these metabolic disorders, as well as provide insight into future developments in the field.
    Matched MeSH terms: Metabolic Syndrome X/drug therapy*; Metabolic Syndrome X/metabolism*; Metabolic Syndrome X/epidemiology
  17. Ang LW, Ma S, Cutter J, Chew SK, Tan CE, Tai ES
    Diabetes Res Clin Pract, 2005 Jan;67(1):53-62.
    PMID: 15620434 DOI: 10.1016/j.diabres.2004.05.003
    We used factor analysis to define and compare the manner in which the various features of the metabolic syndrome are linked or clustered in Chinese, Malays and Asian Indians. One thousand nine hundred and fifty seven men (1324 Chinese, 391 Malays and 261 Asian Indians) and 2308 women (1622 Chinese, 391 Malays and 296 Asian Indians) were examined. Anthropometry, blood pressure, serum glucose, lipid concentrations, and serum insulin were measured for all subjects. These data were then subjected to factor analysis which reduced the variables examined to three factors in all ethnic groups and both genders. The first (dyslipidemia) factor was positively loaded for obesity, insulin resistance (IR), fasting triglyceride and negatively loaded for HDL-cholesterol. The second (hyperglycemia) factor was positively loaded for IR and blood glucose. The third (hypertension) factor was positively loaded for obesity and blood pressure. IR was positively loaded in the hypertension factor in Malay women but not in others. Rather than a single entity causally associated with insulin resistance (IR), our findings support a concept in which the metabolic syndrome represents several distinct entities (dyslipidemia, hypertension and hyperglycemia). It appears that Malay females may be more prone to develop hypertension in association with IR.
    Matched MeSH terms: Metabolic Syndrome X/blood; Metabolic Syndrome X/epidemiology*; Metabolic Syndrome X/physiopathology
  18. Moy FM, Bulgiba A
    BMC Public Health, 2010 Nov 06;10:678.
    PMID: 21054885 DOI: 10.1186/1471-2458-10-678
    BACKGROUND: Metabolic Syndrome is associated with increased risk for type 2 diabetes and cardiovascular diseases. However, different diagnostic criteria have been recommended by different expert groups. In Malaysia, there is a lack of research comparing these different diagnostic criteria. Therefore, it is our aim to study the concordance between the IDF and the modified NCEP ATP III definitions of Metabolic Syndrome among a Malay cohort in Kuala Lumpur; and to demonstrate if all participants have the same cardiometabolic risks.

    METHODS: This was an analytical cross sectional study. Ethics approval was obtained and informed consent was given by all participants. Anthropometric measurements, blood pressure, fasting blood glucose and lipid profile were taken following standard protocols.

    RESULTS: Metabolic Syndrome was diagnosed in 41.4% and 38.2% participants using the modified NCEP and IDF criteria respectively. Among those diagnosed with Metabolic Syndrome by modified NCEP, 7.6% were missed by the IDF criteria. Participants diagnosed by the modified NCEP criteria had lower BMI and waist circumference but had higher cardiometabolic risks than those diagnosed with both criteria. Their blood pressure, glucose, total cholesterol and triglyceride were more adverse than the IDF group. This demonstrated that central obesity may not be a prerequisite for the development of increased cardiometabolic risks within this Malay cohort.

    CONCLUSION: Metabolic syndrome is common in this Malay cohort regardless of the criterion used. The modified NCEP ATP III criteria may be more suitable in diagnosis of metabolic syndrome for this Malay cohort.

    Matched MeSH terms: Metabolic Syndrome X/diagnosis*; Metabolic Syndrome X/ethnology; Metabolic Syndrome X/etiology
  19. Benchoula K, Khatib A, Jaffar A, Ahmed QU, Sulaiman WMAW, Wahab RA, et al.
    Exp Anim, 2019 Nov 06;68(4):407-416.
    PMID: 31118344 DOI: 10.1538/expanim.18-0168
    Metabolic syndrome is a cluster including hyperglycaemia, obesity, hypertension, and hypertriglyceridaemia as a result of biochemical and physiological alterations and can increase the risk of cardiovascular disease and diabetes. Fundamental research on this disease requires validated animal models. One potential animal model that is rapidly gaining in popularity is zebrafish (Danio rerio). The use of zebrafish as an animal model conveys several advantages, including high human genetic homology, transparent embryos and larvae that allow easier visualization. This review discusses how zebrafish models contribute to the development of metabolic syndrome studies. Different diseases in the cluster of metabolic syndrome, such as hyperglycaemia, obesity, diabetes, and hypertriglyceridaemia, have been successfully studied using zebrafish; and the model is promising for hypertension and cardiovascular metabolic-related diseases due to its genetic similarity to mammals. Genetic mutation, chemical induction, and dietary alteration are among the tools used to improve zebrafish models. This field is expanding, and thus, more effective and efficient techniques are currently developed to fulfil the increasing demand for thorough investigations.
    Matched MeSH terms: Metabolic Syndrome X/etiology*
  20. Nor Fadhilah Abdullah, Radziah Mohd Fauzi, Sakinah Harith
    MyJurnal
    Background: Having multiple kinds of health problems among metabolic syndrome patients may cause
    them stress. Life events also may worsen their stress. Negative stress affects not only their physical but also
    emotional health. Various coping styles are used in order to deal with their stress. However, not all coping
    styles can overcome their stress.

    Objectives: This study aims to explore the coping styles that have been employed by the stressed metabolic
    syndrome patients in Hospital Universiti Sains Malaysia, Malaysia.
    Method: Semi-structured interviews were conducted with the stressed metabolic syndrome patients in
    Hospital Universiti Sains Malaysia. A purposive sampling was selected among stressed respondents, as
    fifteen of them participated in this study after saturation data was reached. The qualitative data was analysed
    using content analysis and was categorized into dysfunctional, problem-focused and emotion-focused
    coping.

    Results: The themes that emerged were; self-distraction, venting, behavioural disengagement, denial and
    self-blame. These were categorized as dysfunctional coping; acceptance, religion and emotional support as
    emotion-focused coping and active coping and instrumental support which were categorized as problemfocused
    coping. Other new coping styles identified were physical intervention, avoidance and emotion
    suppression.

    Conclusion: Coping styles has direct influence on the feeling of stress. Stressed patients used many
    dysfunctional coping styles rather than other categories of coping which lead them to remain in stress. These
    data highlighted the need to educate patients about good coping styles to give them additional skills in
    managing their stress thus improving their health.
    Matched MeSH terms: Metabolic Syndrome X*
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