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Fulltext Comparison of markers for metabolic syndrome in day and shift male factory workers in Kota Bharu, Kelantan

Mohd Nazri, S., Tengku, M.A., Winn, T.

Malaysian Journal of Public Health Medicine, 2006;6(1):64-69.
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There is concern that shift workers are at higher risk for metabolic syndrome (MS) . The syndrome is characterized by a constellation of metabolic risk factors in one individual. A cross-sectional study of 148 workers in one factory in Kota Bharu, Kelarttan was conducted to examine relationships between shift work and five of the MS rnk factors namely high blood pressure, hyperglycemia, hypertriglyceridaemia, hypo·I·IDL-cholesterolaemia and high body mass index (BMI) . Data was collected through a questionnaire on psychosocial and life-style factors, anthropometric and blood pressure measurements, fasting blood sugar and fasting lipid profile. The National Cholesterol Education Program’s Adult Treatment Panel III Report (NCEPATP III) with some modifications was used to determine the presence of risk factors for the metabolic syndrome, The prevalence of high blood pressure, hypertriglyceridaemia and high BMI were significantly higher among shift workers compared to day workers. There was no difference in the prevalence of hyperglycemia and hypo-HDL-cholesterolaemia. When the shift workers were compared with the
day workers, the proportion of workers having three or more risk factors for the syndrome was higher among shift workers which were 15.8% and 5.6% respectively.

Matched MeSH terms: Hypertriglyceridemia
Fulltext A biomarker feasibility study in the South East Asia Community Observatory health and demographic surveillance system

Partap U, Young EH, Allotey P, Sandhu MS, Reidpath DD

Glob Health Epidemiol Genom, 2018;3:e14.
PMID: 30263138 DOI: 10.1017/gheg.2018.13

Background: Integration of biomarker data with information on health and lifestyle provides a powerful tool to enhance the scientific value of health research. Existing health and demographic surveillance systems (HDSSs) present an opportunity to create novel biodata resources for this purpose, but data and biological sample collection often presents challenges. We outline some of the challenges in developing these resources and present the outcomes of a biomarker feasibility study embedded within the South East Asia Community Observatory (SEACO) HDSS.
Methods: We assessed study-related records to determine the pace of data collection, response from potential participants, and feedback following data and sample collection. Overall and stratified measures of data and sample availability were summarised. Crude prevalence of key risk factors was examined.
Results: Approximately half (49.5%) of invited individuals consented to participate in this study, for a final sample size of 203 (161 adults and 42 children). Women were more likely to consent to participate compared with men, whereas children, young adults and individuals of Malay ethnicity were less likely to consent compared with older individuals or those of any other ethnicity. At least one biological sample (blood from all participants - finger-prick and venous [for serum, plasma and whole blood samples], hair or urine for adults only) was successfully collected from all participants, with blood test data available from over 90% of individuals. Among adults, urine samples were most commonly collected (97.5%), followed by any blood samples (91.9%) and hair samples (83.2%). Cardiometabolic risk factor burden was high (prevalence of elevated HbA1c among adults: 23.8%; of elevated triglycerides among adults: 38.1%; of elevated total cholesterol among children: 19.5%).
Conclusions: In this study, we show that it is feasible to create biodata resources using existing HDSS frameworks, and identify a potentially high burden of cardiometabolic risk factors that requires further evaluation in this population.

Matched MeSH terms: Hypertriglyceridemia
Prevalence and pattern of dyslipidemia in hyperglycemic patients and its associated factors among Pakistani population

Sarfraz M, Sajid S, Ashraf MA

Saudi J Biol Sci, 2016 Nov;23(6):761-766.
PMID: 27872574

In diabetes mellitus dyslipidemia is one of the major risk factors for cardiovascular disease. In type 2 diabetes mellitus early detection and treatment of dyslipidemia can avoid risk for cardiovascular disorder. The present study was carried to determine the prevalence and pattern of hyperlipidemia in patients with hyperglycemia. The cross sectional study was done in different laboratories of Pakistan, the laboratories served patients referred from different government and private hospitals between July 2014 and June 2015. All known cases of diabetes mellitus were evaluated for their lipid profile. Totally 200 diabetic patients were included in the study in which 120 (60%) were males and 80 (40%) were females. Prevalence of dyslipidemia among diabetic males was 97.18% while for females 87.15%. Among dyslipidemic male the proportion with mixed dyslipidemic patients was 17.5%, combined two parameters dyslipidemia was 47.5% and isolated single parameter dyslipidemia was 35%. In females these proportions in mixed, combined two parameters and isolated single parameter were 16.25%, 51.25% and 32.5%, respectively. Majority of hyperglycemic patients were dyslipidemic. The most prevalent pattern among male was combined dyslipidemia with high triglycerides (TG) and low High Density Lipoprotein (HDL) and in female it was high Low Density Lipoprotein (LDL) and low HDL. The most prevalent lipid abnormality in our study was low HDL followed by high TG.

Matched MeSH terms: Hypertriglyceridemia
Steroid-induced diabetes mellitus in systemic lupus erythematosus patients: analysis from a Malaysian multi-ethnic lupus cohort

Shaharir SS, Gafor AH, Said MS, Kong NC

Int J Rheum Dis, 2015 Jun;18(5):541-7.
PMID: 25294584 DOI: 10.1111/1756-185X.12474

OBJECTIVE:
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease and glucocorticoid is the mainstay of treatment in SLE. The reported incidence of steroid-induced diabetes mellitus (SDM) ranged between 1-53%. We sought to investigate the prevalence and associated factors of SDM in patients with SLE.

METHODOLOGY:
A total of 100 SLE patients attending the Nephrology/SLE and Rheumatology Clinic, Universiti Kebangsaan Malaysia Medical Centre (UKMMC) who received corticosteroid treatment were recruited. The diagnosis of diabetes mellitus was based on the 2010 American Diabetes Association's criteria. Prevalent cases of SDM were also included. Statistical analysis was performed to determine the factors associated with SDM.

RESULTS:
Thirteen of them (13%) developed SDM, with the median onset of diagnosis from commencement of glucocorticoid treatment being 8 years (range 0.5-21 years). Although only seven Indians were recruited into the study, three of them (42.9%) had SDM compared to Malays (9.3%) and Chinese (12.8%) (P ≤ 0.05). Univariate and multivariate analysis showed that higher numbers of system or organ involvement in SLE, abdominal obesity, hypertriglyceridemia and daily prednisolone of ≥ 1 mg/kg/day were the important associated factors of SDM (P ≤ 0.05). Meanwhile, hydroxychloroquine (HCQ) use was associated with reduced SDM prevalence (P < 0.05).

CONCLUSION:
The prevalence of SDM among SLE patients was 13% and Indians were more prone to develop SDM compared to other races. Higher numbers of system involvement, abdominal obesity, hypertriglyceridemia and the use of oral prednisolone of ≥ 1 mg/kg/day were associated with SDM, while HCQ use potentially protects against SDM.

© 2014 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd.

KEYWORDS:
SLE drug treatment; clinical aspects; systemic lupus erythematous

Matched MeSH terms: Hypertriglyceridemia/complications