Displaying publications 1 - 20 of 51 in total

Abstract:
Sort:
  1. Delavar MA, Lye MS, Khor GL, Hanachi P, Hassan ST
    PMID: 19842450
    Metabolic syndrome is a cluster of interconnected cardiovascular risk factors. This research determined the prevalence of metabolic syndrome by body mass index, sociodemography, and lifestyle habits of women 30-50 years old in Babol Iran. A systematic random sampling was used to select 984 middle aged women from an urban area in Babol, Mazandaran, Iran. Screening was used to select eligible women who fulfilled selection criteria. The Adult Treatment Panel III (ATP III) criteria were used to classify participants as having metabolic syndrome. The overall prevalence of metabolic syndrome was 31.0%. Abdominal obesity was observed in about 76.6% (n = 273) of subjects. The prevalences of hypertension, high fasting blood glucose, high triglycerides and low HDL-cholesterol were 12.1, 12.1, 41.5 and 48.6%, respectively. Older age (OR = 2.07; CI = 1.56-2.75), higher waist circumference (OR = 6.46; 95% CI = 3.48-11.96), higher systolic (OR = 3.84; 95% CI = 2.37-6.22) and diastolic blood pressure (OR = 1.89; 95% CI =1.17-3.05), low education level (OR = 2.780; CI = 1.80-4.31), housekeeping (OR = 3.92; CI = 1.24-12.44) and farming occupation (OR = 20.54; 95% CI = 3.54-119.06) were associated with increased risk for metabolic syndrome. The odds ratio (OR) showed no significant associations between metabolic syndrome and smoking or exposure to smoking. This study showed high prevalence of metabolic syndrome in Iranian middle aged women. A larger area and population study is needed to enable broader recommendations for the prevention of metabolic syndrome.
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  2. Mohamud WN, Ismail Aa, Khir AS, Ismail IS, Musa KI, Kadir KA, et al.
    Diabetes Res Clin Pract, 2012 04;96(1):91-7.
    PMID: 22553777 DOI: 10.1016/j.diabres.2011.11.020
    Aim: To report the national prevalence of metabolic syndrome (MetS) and its risk factors among adult Malaysians (>18 years old) based on World Health Organization (WHO), the National Cholesterol Education Program Expert Panel III (ATP III), International Diabetes Federation (IDF) and the 'Harmonized' criteria.Methods: A multi-stage stratified sampling method was used to select 4341 subjects from Peninsular and East Malaysia. Subjects underwent physical and clinical examinations.Results: Based on the WHO, ATP III, IDF and Harmonized definitions, the overall crude prevalences of MetS were 32.1, 34.3, 37.1 and 42.5%, respectively. Regardless of the criteria used, MetS was higher in urban areas, in females, in the Indian population and increased significantly with age. Risk factors also increased with age; abdominal obesity was most prevalent (57.4%), was higher in females (64.2%) and was highest in Indians (68.8%).Hypertension was higher in males (56.5%) and highest among Malays (52.2%). In contrast,the Chinese had the highest prevalence of hypertriglyceridemia (47.4%).Conclusions: Malaysia has a much higher prevalence of MetS compared with other Asian countries and, unless there is immediate intervention to reduce risk factors, this may pose serious implications on the country's healthcare costs and services.
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  3. Fadzlina AA, Harun F, Nurul Haniza MY, Al Sadat N, Murray L, Cantwell MM, et al.
    BMC Public Health, 2014;14 Suppl 3:S7.
    PMID: 25437226 DOI: 10.1186/1471-2458-14-S3-S7
    BACKGROUND: Obesity and metabolic syndrome is prevalent among Malaysian adolescents and has been associated with certain behavioural factors such as duration of sleep, screen time and physical activity. The aim of the study is to report the prevalence of overweight/obesity, metabolic syndrome and its risk factors among adolescents.
    METHODS: A multi-staged cluster sampling method was used to select participants from urban and rural schools in Selangor, Perak and Wilayah Persekutuan Kuala Lumpur. Participants underwent anthropometric measurement and physical examination including blood pressure measurement. Blood samples were taken for fasting glucose and lipids and participants answered a self-administered questionnaire. Overweight and obesity was defined using the extrapolated adult body mass index (BMI) cut-offs of >25 kg/m2 and >30 kg/m2, according to the International Obesity Task Force (IOTF) criteria. Metabolic syndrome was defined based on International Diabetes Federation (IDF) 2007 criteria.
    RESULTS: Data were collected from 1361 participants. After excluding incomplete data and missing values for the variables, we analysed a sample of 1014 participants. Prevalence of overweight and obesity in this population was 25.4% (N = 258). The prevalence of metabolic syndrome was 2.6% in the population and 10% among the overweight and obese adolescents. Participants who slept between 7 and 9 hours a day has a lower risk of developing metabolic syndrome OR 0.38(0.15-0.94).
    CONCLUSION: Our results provide the prevalence of metabolic syndrome in Malaysian adolescents. Adequate sleep between 7 and 9 hours per day reduces the risk of developing metabolic syndrome.
    MESH: screen time
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  4. Johari SM, Shahar S
    Arch Gerontol Geriatr, 2014;59(2):360-6.
    PMID: 24882592 DOI: 10.1016/j.archger.2014.04.003
    The aim of this study is to investigate the prevalence of metabolic syndrome (MetS) and its predictors among Malaysian elderly. A total of 343 elderly aged ≥ 60 years residing low cost flats in an urban area in the central of Malaysia were invited to participate in health screening in community centers. Subjects were interviewed to obtain socio demography, health status and behavior data. Anthropometric measurements were also measured. A total of 30 ml fasting blood was taken to determine fasting serum lipid, glucose level and oxidative stress. MetS was classified according to The International Diabetes Federation (IDF) criteria. The prevalence of MetS was 43.4%. More women (48.1%) were affected than men (36.3%) (p<0.05). Being obese or overweight was the strongest predictor for MetS in men and women (p<0.05, both gender). High carbohydrate intake increased risk of MetS in men by 2.8 folds. In women, higher fat free mass index, physical inactivity and good appetite increased risk of MetS by 3.9, 2.1 and 2.3 folds respectively. MetS affected almost half of Malaysian elderly being investigated, especially women, and is associated with obesity and unhealthy lifestyle. It is essential to develop preventive and intervention strategies to curb undesirable consequences associated with MetS.
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  5. Chu AH, Moy FM
    PLoS One, 2013;8(4):e61723.
    PMID: 23613917 DOI: 10.1371/journal.pone.0061723
    Prolonged sitting is associated with increased weight and higher risks for abdominal obesity, dyslipidaemia, hyperglycaemia and hypertension among the adult population. This has been well documented in the West, but studies on these associations are lacking in developing countries, including Malaysia.
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  6. Ulaganathan V, Kandiah M, Zalilah MS, Faizal JA, Fijeraid H, Normayah K, et al.
    Asian Pac J Cancer Prev, 2012;13(8):3873-7.
    PMID: 23098486
    OBJECTIVE: Colorectal cancer (CRC) and the metabolic syndrome (MetS) are both on the rise in Malaysia. A multi-centric case-control study was conducted from December 2009 to January 2011 to determine any relationship between the two.

    METHODS: Patients with confirmed CRC based on colonoscopy findings and cancer free controls from five local hospitals were assessed for MetS according to the International Diabetes Federation (IDF) definition. Each index case was matched for age, gender and ethnicity with two controls (140: 280).

    RESULTS: MetS among cases was highly prevalent (70.7%), especially among women (68.7%). MetS as an entity increased CRC risk by almost three fold independently (OR=2.61, 95%CI=1.53-4.47). In men MetS increased the risk of CRC by two fold (OR=2.01, 95%CI, 1.43-4.56), demonstrating an increasing trend in risk with the number of Mets components observed.

    CONCLUSION: This study provides evidence for a positive association between the metabolic syndrome and colorectal cancer. A prospective study on the Malaysian population is a high priority to confirm these findings.

    Matched MeSH terms: Metabolic Syndrome X/epidemiology
  7. 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/epidemiology
  8. Foong HF, Hamid TA, Ibrahim R, Haron SA, Shahar S
    Aging Ment Health, 2018 Jan;22(1):109-120.
    PMID: 27732054 DOI: 10.1080/13607863.2016.1231172
    OBJECTIVES: The aim of this study was to identify the predictors of elderly's cognitive function based on biopsychosocial and cognitive reserve perspectives.

    METHOD: The study included 2322 community-dwelling elderly in Malaysia, randomly selected through a multi-stage proportional cluster random sampling from Peninsular Malaysia. The elderly were surveyed on socio-demographic information, biomarkers, psychosocial status, disability, and cognitive function. A biopsychosocial model of cognitive function was developed to test variables' predictive power on cognitive function. Statistical analyses were performed using SPSS (version 15.0) in conjunction with Analysis of Moment Structures Graphics (AMOS 7.0).

    RESULTS: The estimated theoretical model fitted the data well. Psychosocial stress and metabolic syndrome (MetS) negatively predicted cognitive function and psychosocial stress appeared as a main predictor. Socio-demographic characteristics, except gender, also had significant effects on cognitive function. However, disability failed to predict cognitive function.

    CONCLUSION: Several factors together may predict cognitive function in the Malaysian elderly population, and the variance accounted for it is large enough to be considered substantial. Key factor associated with the elderly's cognitive function seems to be psychosocial well-being. Thus, psychosocial well-being should be included in the elderly assessment, apart from medical conditions, both in clinical and community setting.

    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  9. Foong HF, Hamid TA, Ibrahim R, Haron SA, Shahar S
    Geriatr Gerontol Int, 2017 Nov;17(11):1914-1920.
    PMID: 28188667 DOI: 10.1111/ggi.12993
    AIM: Metabolic syndrome and chronic conditions are significant predictors of cognition; however, few studies have examined how they work together in predicting cognition in old age. Therefore, the present study examines whether a chronic condition mediates the association between metabolic syndrome and cognition. In addition, it discusses the moderating role of sex in the relationships between metabolic syndrome, chronic conditions and cognition.

    METHODS: Secondary analysis was carried out of data from the Malaysian national survey that involved 2322 community residents aged 60 years or older in Peninsular Malaysia. Cognition was measured by the digit symbol substitution test. Metabolic syndrome was assessed by five biomarkers: triglyceride, fasting blood sugar, systolic blood pressure, cholesterol ratio and body mass index. Chronic conditions were assessed by self-reported medical history. The structural equation modeling technique was used to analyze the mediation and moderation tests.

    RESULTS: The number of chronic conditions partially mediated the association between metabolic syndrome and cognition. Men and women did not differ in the relationship between metabolic syndrome and cognition; however, the number of chronic conditions was found to be negatively associated with cognition in older women, but not in men.

    CONCLUSIONS: Metabolic syndrome might increase the likelihood of older adults to suffer from more chronic conditions; these responses might reduce their cognition. To prevent cognitive decline in old age, specific intervention to minimize the number of chronic conditions by reducing their vascular risk factors is warranted, especially among older women. Geriatr Gerontol Int 2017; 17: 1914-1920.

    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  10. 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/epidemiology*
  11. Termizy HM, Mafauzy M
    Singapore Med J, 2009 Apr;50(4):390-4.
    PMID: 19421683
    INTRODUCTION: The increased prevalence of metabolic syndrome worldwide is closely related to the rising obesity epidemic. The objectives of the study were to determine the prevalence and identify the associated and prognostic factors that influence the risk of metabolic syndrome among obese patients attending the Obesity Clinic at Hospital Universiti Sains Malaysia.
    METHODS: A study was conducted involving 102 obese persons who attended the Obesity Clinic from January 1 to December 31, 2005. Metabolic syndrome was defined according to the International Diabetes Federation criteria.
    RESULTS: The overall prevalence of metabolic syndrome among obese patients was 40.2 percent. The prevalence was higher in females (43.7 percent) than in males (32.3 percent). The prevalence of metabolic syndrome was noted to increase with increasing body mass index class, from class 1 to class 2. However, the prevalence was lower in obesity class 3. The prevalence of metabolic comorbidities of raised blood pressure, reduced high density lipoprotein, high triglyceride and raised fasting blood glucose was 42, 40, 36 and 17 percent, respectively. A quarter of obese patients in this study had no other comorbidity. Based on logistic regression multivariable analysis, age was the only significant associated factor that influenced the risk of having metabolic syndrome.
    CONCLUSION: The prevalence of metabolic syndrome was high and the highest comorbidity was high blood pressure. Age was the only significant risk factor of having this syndrome.
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  12. 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/epidemiology*
  13. Cameron NA, Freaney PM, Wang MC, Perak AM, Dolan BM, O'Brien MJ, et al.
    Circulation, 2022 Feb 15;145(7):549-551.
    PMID: 35157521 DOI: 10.1161/CIRCULATIONAHA.121.057107
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  14. Manaf MRA, Nawi AM, Tauhid NM, Othman H, Rahman MRA, Yusoff HM, et al.
    Sci Rep, 2021 Apr 14;11(1):8132.
    PMID: 33854087 DOI: 10.1038/s41598-021-87248-1
    Public health systems are concerned with the commensurate rise of metabolic syndrome (MetS) incidence across populations worldwide, due to its tendency to amplify greater risk of diabetes and cardiovascular diseases within communities. This study aimed to determine the prevalence of MetS and its associated risk factors among staffs in a Malaysian public university. A cross-sectional study was conducted among 538 staffs from the Universiti Kebangsaan Malaysia (UKM) between April and June 2019. MetS was defined according to JIS "Harmonized" criteria. A questionnaire that consisted of items on socio-demographics, lifestyle risk behaviors and personal medical history information was administered to participants. Subsequently, a series of physical examination and biochemical assessment was conducted at the hall or foyer of selected faculties in the university. Descriptive and inferential statistics were conducted using SPSS version 22.0. Multivariate models were yielded to determine the risk factors associated with MetS. Statistical significance was set at P 
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  15. Tan MC, Wong TW, Ng OC, Joseph A, Hejar AR
    PMID: 24964674
    Metabolic syndrome (MetS) is common among patients with type 2 diabetes mellitus (T2DM) and increases the risk of cardiovascular disease (CVD) and all-cause mortality. The objective of this study was to investigate the association between the components of MetS and the prevalence of CVD among patients with T2DM. We studied 313 patients aged > or = 30 years diagnosed with T2DM at two tertiary care hospitals. Patients were recruited by systematic random sampling. Clinical data was obtained using an interviewer-administered structured questionnaire and from a review of their medical records. MetS was diagnosed using NCEP ATP III, WHO, IDF and the new Harmonized definitions. Specific MetS components such as BMI, waist circumference, waist-to-hip ratio, hypertension, HDL-C and triglyceride levels were evaluated to determine if they had an association with CVD. Thirty-six point one percent of the subjects had CVD. The mean age of the subjects was 55.7 +/- 9.2 years and the mean duration of having diabetes was 10.1 +/- 8.1 years. The overall prevalences of MetS (> or = 3 of 5 components) (95% CI) were 96.1% (94.0-98.3), 95.8% (93.6-98.1), 84.8% (80.8-88.9) and 97.7% (96.1-99.4) using NCEP ATP III, WHO, IDF and Harmonized definitions, respectively. Patients with MetS had a higher prevalence of CVD using NCEP ATP III (98.2% vs 93.5%), WHO (98.2% vs 93.0%), IDF (87.6% vs 82.0%) and Harmonized criteria (98.2% vs 96.0%). The greater the number of MetS components, the greater the chance of having CVD using three definitions for diagnosing MetS: WHO, IDF and Harmonized (p < 0.05). MetS and the combination of the individual components of MetS were significantly associated with CVD among type 2 diabetic patients in Malaysia. Aggressive treatment of MetS components is required to reduce cardiovascular risk in T2DM.
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  16. Narayanan P, Meng OL, Mahanim O
    Metab Syndr Relat Disord, 2011 Oct;9(5):389-95.
    PMID: 21718129 DOI: 10.1089/met.2011.0014
    OBJECTIVE: The aim of this study was to determine the prevalence of metabolic syndrome and the most common combination of cardiometabolic disorders among different ethnic groups of obese adolescents in Malaysia.
    RESEARCH DESIGN AND METHODS: A cross-sectional study among 335 obese adolescent boys and girls aged 12-18 years from 10 randomly selected schools was conducted. After recording blood pressure and waist circumference (WC), a fasting blood sample was obtained and analyzed for glucose and lipids. Metabolic syndrome was diagnosed on the basis of adolescent metabolic syndrome criteria specified by National Cholesterol Education Program Adult Treatment Panel III if three of the five risk factors--hypertriglyceridemia, hyperglycemia, hypertension, low high-density lipoprotein C, and increased WC--were present. The prevalence among different ethnic groups was analyzed.
    RESULTS: The obesity rate among adolescents was 8.4%, and nearly one-third of the obese adolescents had metabolic syndrome. More than 90% of obese adolescents had at least one metabolic abnormality. Metabolic syndrome was more prevalent among obese boys (40.2%) compared to obese girls (17%). Boys had significantly higher mean WC and triglycerides and lower HDL-C (P value 0.0001). Increased WC and triglycerides and high blood pressure comprised the most prevalent (34.3%) risk factor combination followed by WC, low HDL, and high blood pressure (22.5%). Over all, Indians had the highest prevalence of metabolic syndrome (36.4%), followed by Chinese (33.8%) and Malays (27.4%). Elevated triglyceride levels were more prevalent among Chinese, hypertension among Malays, and the other three abnormalities among Indians.
    CONCLUSION: Indians had the highest prevalence of metabolic syndrome. Increased WC and triglycerides and high blood pressure comprised the most prevalent risk factor combination.
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  17. Mirhosseini NZ, Yusoff NA, Shahar S, Parizadeh SM, Mobarhen MG, Shakery MT
    Asia Pac J Clin Nutr, 2009;18(1):131-6.
    PMID: 19329406
    Introduction: This study sought to determine the prevalence of the metabolic syndrome, one of the major public-health challenges worldwide, and its influencing factors among 15 to 17 years old adolescent girls in Mashhad, Iran.
    Methods: A total of 622 high school adolescents participated in a cross-sectional study. A self-administered questionnaire was used to assess socio-demographic characteristics and dietary habits. Anthropometric assessments, blood pressure measurement and biochemical assessment were done.
    Results: Applying BMI Z-score for age and gender (WHO 2007), 14.6 % and 3.4 % of subjects were classified as overweight and obese, respectively. Enlarged WC (> 80 cm) was seen in 9.5% of subjects. The prevalence of combined hypertension was 6.1% which was increased by the severity of obesity. A total of 24.5% of subjects had hypertriglyceridemia and 57% of them had low level of HDL-cholesterol. Hyperglycemia was present in 16.7% of subjects. Based on the NCEP ATP III (2001) criteria, the prevalence of the metabolic syndrome was 6.5% and increased to 45.1% in obese subjects. Increasing BMI or WC, led to significant increment in the number of metabolic syndrome features (p < 0.001). High socioeconomic status of family, medical history of parents and dietary habits especially high consumption of carbohydrates were influencing factors in the prevalence of the metabolic syndrome.
    Conclusion: Approximately 6.5% of all and 45% of obese subjects met the criteria for the metabolic syndrome. Dietary habits especially carbohydrate consumption, socioeconomic status of family and medical history of parents can be influential factors in the prevalence of the metabolic syndrome.
    Matched MeSH terms: Metabolic Syndrome X/epidemiology*
  18. Loh DA, Moy FM, Zaharan NL, Jalaludin MY, Mohamed Z
    Pediatr Obes, 2017 02;12(1):e1-e5.
    PMID: 26843446 DOI: 10.1111/ijpo.12108
    BACKGROUND: Investigations on sugar-sweetened beverage (SSB) intake and cardiometabolic risks among Asians are scant.

    OBJECTIVES: This study aimed to examine associations between SSB intake and cardiometabolic risks among Malaysian adolescents.

    METHODS: Anthropometric data, blood pressure (BP), fasting blood glucose (FBG), lipid profiles and insulin levels measured involved 873 adolescents (aged 13 years). SSB intake, dietary patterns and physical activity level (PAL) were self-reported.

    RESULTS: Mean SSB consumption was 177.5 mL day-1 with significant differences among ethnicities (Malay, Chinese, Indians and Others) (p 

    Matched MeSH terms: Metabolic Syndrome X/epidemiology
  19. Lee SC, Hairi NN, Moy FM
    J Epidemiol, 2017 Mar;27(3):130-134.
    PMID: 28142038 DOI: 10.1016/j.je.2016.10.006
    BACKGROUND: Non-obese individuals could have metabolic disorders that are typically associated with elevated body mass index (BMI), placing them at elevated risk for chronic diseases. This study aimed to describe the prevalence and distribution of metabolically obese, non-obese (MONO) individuals in Malaysia.

    METHODS: We conducted a cross-sectional study involving teachers recruited via multi-stage sampling from the state of Melaka, Malaysia. MONO was defined as individuals with BMI 18.5-29.9 kg/m(2) and metabolic syndrome. Metabolic syndrome was diagnosed based on the Harmonization criteria. Participants completed self-reported questionnaires that assessed alcohol intake, sleep duration, smoking, physical activity, and fruit and vegetable consumption.

    RESULTS: A total of 1168 teachers were included in the analysis. The prevalence of MONO was 17.7% (95% confidence interval [CI], 15.3-20.4). Prevalence of metabolic syndrome among the normal weight and overweight participants was 8.3% (95% CI, 5.8-11.8) and 29.9% (95% CI, 26.3-33.7), respectively. MONO prevalence was higher among males, Indians, and older participants and inversely associated with sleep duration. Metabolic syndrome was also more prevalent among those with central obesity, regardless of whether they were normal or overweight. The odds of metabolic syndrome increased exponentially from 1.9 (for those with BMI 23.0-24.9 kg/m(2)) to 11.5 (for those with BMI 27.5-29.9 kg/m(2)) compared to those with BMI 18.5-22.9 kg/m(2) after adjustment for confounders.

    CONCLUSIONS: The prevalence of MONO was high, and participants with BMI ≥23.0 kg/m(2) had significantly higher odds of metabolic syndrome. Healthcare professionals and physicians should start to screen non-obese individuals for metabolic risk factors to facilitate early targeted intervention.

    Matched MeSH terms: Metabolic Syndrome X/epidemiology
  20. Lim YC, Hoe VCW, Darus A, Bhoo-Pathy N
    Occup Environ Med, 2018 10;75(10):716-723.
    PMID: 30032104 DOI: 10.1136/oemed-2018-105104
    OBJECTIVES: Occupational factors, particularly night-shift work, are attracting growing interest as a possible determinant of metabolic syndrome (MetS). This study aimed to determine the association between night-shift work and MetS, and assess whether sleep quality is a mediating factor.

    METHODS: A cross-sectional study was conducted among Malaysian manufacturing workers, aged 40-65 years old. They completed a self-administered questionnaire on sociodemographics, lifestyle and family history, and the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Waist circumference, blood pressure, fasting blood sugar, triglycerides and high-density lipoprotein levels were measured. Baron and Kenny's method, Sobel test and multiple mediation models with bootstrapping were used to determine whether the PSQI global score or its components mediated the association between night-shift work and MetS.

    RESULTS: Of the 494 participants, 177 (36%) worked night shift and 51% were men. The prevalence of MetS was 37%. Night-shift work was independently associated with a twofold increase in the risk of MetS (adjusted OR: 1.92, 95% CI 1.24 to 2.97). However, the association between night-shift work and MetS did not appear to be modified by sex. Night-shift workers also reported significantly poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances and daytime dysfunction. Robust mediation analysis nonetheless showed that neither PSQI global score nor its components mediated the association between night-shift work and MetS.

    CONCLUSION: Early screening and management of MetS and the development of programmes to improve sleep quality should be carried out among night-shift workers. Future research should investigate other modifiable mediators linking night-shift work and MetS.

    Matched MeSH terms: Metabolic Syndrome X/epidemiology
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links