Cohort Profile: The electricity generating authority of Thailand study

Vathesatogkit, Prin; Woodward, Mark; Tanomsup, Supachai; Ratanachaiwong, Wipa; Vanavanan, Somlak; Yamwong, Sukit; Sritara, Piyamitr

doi:10.1093/ije/dyq218

Cited by 90 publications

(88 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4 In Thailand the RAMA-EGAT score was developed from the retrospective study of the Electricity Generating Authority of Thailand (EGAT) using traditional risk factors including age, gender, cholesterol level, smoking status, diabetes, hypertension and waist circumference. 5 This score has been validated in the Thai population and was shown to be a more suitable score for evaluating cardiovascular risk in Thai subjects than the Framingham risk score. 6 Also, the score shows a linear relationship with the percentage of coronary stenosis as evaluated by 64slice multidetector CT (MDCT) coronary angiography.…”

Section: Introductionmentioning

confidence: 99%

Arterial stiffness contributes to coronary artery disease risk prediction beyond the traditional risk score (RAMA-EGAT score)

et al. 2012

View full text Add to dashboard Cite

ObjectivesThe traditional risk score (RAMA-EGAT) has been shown to be an accurate scoring system for predicting coronary artery disease (CAD). Arterial stiffness measured by the cardio–ankle vascular index (CAVI) is known to be a marker of atherosclerotic burden. A study was undertaken to determine whether CAVI improves the prediction of CAD beyond the RAMA-EGAT score.DesignCross-sectional study.PatientsPatients with a moderate to high risk for CAD by the RAMA-EGAT score were enrolled between November 2005 and March 2006. 64-slice multidetector CT coronary angiography was used to evaluate the coronary artery calcium score and coronary stenosis. Arterial stiffness was assessed by CAVI.Results1391 patients of median age 59 years (range 31–88) were enrolled in the study, 635 (45.7%) men and 756 (54.3%) women. Of the 1391 patients, 346 (24.87%) had coronary stenosis. There was a correlation between CAVI and the prevalence of coronary stenosis after adjusting for traditional CAD risk factors (OR 3.29). In addition, adding CAVI into the RAMA-EGAT score (modified RAMA-EGAT score) improved the prediction of CAD incidence, increasing C-statistics from 0.72 to 0.85 and resulting in a net reclassification improvement of 27.7% (p<0.0001).ConclusionCAVI is an independent risk predictor for CAD. The addition of CAVI to the RAMA-EGAT score significantly improves the diagnostic yield of CAD.

show abstract

Section: Introductionmentioning

confidence: 99%

Arterial stiffness contributes to coronary artery disease risk prediction beyond the traditional risk score (RAMA-EGAT score)

et al. 2012

View full text Add to dashboard Cite

show abstract

“…The first is a cohort of workers from the Electricity Generating Authority of Thailand,28 who looked at the trends in known cardiovascular risk factors and their association with all cause mortality and cardiovascular mortality. The authors stated that the study’s main strength was in the breadth of biological markers available and the detailed verification of mortality and causes of mortality.…”

Section: Discussionmentioning

confidence: 99%

Chiang Mai University Health Worker Study aiming toward a better understanding of noncommunicable disease development in Thailand: methods and description of study population

Angkurawaranon¹,

Wisetborisut²,

Jiraporncharoen³

et al. 2014

CLEP

View full text Add to dashboard Cite

BackgroundUrbanization is considered to be one of the key drivers of noncommunicable diseases (NCDs) in Thailand and other developing countries. These influences, in turn, may affect an individual’s behavior and risk of developing NCDs. The Chiang Mai University (CMU) Health Worker Study aims to provide evidence for a better understanding of the development of NCDs and ultimately to apply the evidence toward better prevention, risk modification, and improvement of clinical care for patients with NCDs and NCD-related conditions.MethodsA cross-sectional survey of health care workers from CMU Hospital was conducted between January 2013 and June 2013. Questionnaires, interviews, and physical and laboratory examinations were used to assess urban exposure, occupational shift work, risk factors for NCDs, self-reported NCDs, and other NCD-related health conditions.ResultsFrom 5,364 eligible workers, 3,204 participated (59.7%). About 11.1% of the participants had high blood pressure (systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg) and almost 30% were considered to be obese (body mass index ≥25 kg/m2). A total of 2.3% had a high fasting blood glucose level (≥126 mg/dL), and the most common abnormal lipid profile was high low-density lipoprotein (≥160 mg/dL), which was found in 19.2% of participants.DiscussionThe study of health workers offers three potential advantages. The first is that the study of migrants was possible. Socioenvironmental influence on NCD risk factors can be explored, as changes in environmental exposures can be documented. Second, it allows the investigators to control for access to care. Access to care is potentially a key confounder toward understanding the development of NCDs. Lastly, a study of health personnel allows easy access to laboratory investigations and potential for long-term follow-up. This enables ascertainment of a number of clinical outcomes and provides potential for future studies focusing on therapeutic and prognostic issues related to NCDs.

show abstract

“…Described in detail elsewhere [16], survey data was collected by using self-administered questionnaires, physical examinations, electrocardiography, chest radiography, and blood analysis. Anthropometric variables including weight, height and waist circumferences were measured using standard techniques in all subjects [17]. Waist circumference was measured at the midway between the last rib and the iliac crest [17].…”

Section: Methodsmentioning

confidence: 99%

“…Anthropometric variables including weight, height and waist circumferences were measured using standard techniques in all subjects [17]. Waist circumference was measured at the midway between the last rib and the iliac crest [17]. BMI was derived by weight (kg)/height(m) 2 .…”

Section: Methodsmentioning

confidence: 99%

The Association of vitamin D status and fasting glucose according to body fat mass in young healthy Thais

et al. 2013

View full text Add to dashboard Cite

BackgroundExisting inconclusive data on the relationship between vitamin D status and human glucose homeostasis suggests that other factors, such as adiposity, might influence this relationship. The present study aimed to investigate the association between 25-hydroxyvitamin D [25(OH)D] and fasting plasma glucose (FPG) in the context of different amounts of total body fat in a healthy community-based population in Bangkok, Thailand.MethodsThis cross-sectional study was a part of health survey of employees of the Electricity Generating Authority of Thailand. There were 1,990 healthy subjects (72.8% male) in this study. Total body fat was measured by bioelectrical impedance analysis. Total serum 25(OH)D, 25(OH)D3 and 25(OH)D2 were measured by LC-MS/MS.ResultsAge (r = 0.134, p < 0.001) and FPG (r = 0.089, p < 0.001) were positively correlated with 25(OH)D levels, while total body fat mass (r = -0.049, p = 0.03) were negatively correlated with 25(OH)D levels. 25(OH)D levels were higher in males than in females (65.0 ± 0.5 vs. 53.5 ± 0.5 nmol/L, p < 0.001). After controlling for age, gender and total fat mass, FPG was no longer correlated with 25(OH)D. However, when subjects were stratified according to fat-free mass tertiles and controlled for age and gender, there was a positive, although weak association between 25(OH)D levels and FPG (p = 0.01) in the lowest tertile.ConclusionsWe therefore speculate that adiposity might influence the relationship of vitamin D status and FPG.

show abstract

Cohort Profile: The electricity generating authority of Thailand study

Cited by 90 publications

References 13 publications

Arterial stiffness contributes to coronary artery disease risk prediction beyond the traditional risk score (RAMA-EGAT score)

Arterial stiffness contributes to coronary artery disease risk prediction beyond the traditional risk score (RAMA-EGAT score)

Chiang Mai University Health Worker Study aiming toward a better understanding of noncommunicable disease development in Thailand: methods and description of study population

The Association of vitamin D status and fasting glucose according to body fat mass in young healthy Thais

Contact Info

Product

Resources

About