scholarly journals Urban and rural variation in clustering of metabolic syndrome components in the Thai population: results from the fourth National Health Examination Survey 2009

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Wichai Aekplakorn ◽  
◽  
Pattapong Kessomboon ◽  
Rassamee Sangthong ◽  
Suwat Chariyalertsak ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sirinapa Siwarom ◽  
Wichai Aekplakorn ◽  
Kwanchai Pirojsakul ◽  
Witchuri Paksi ◽  
Pattapong Kessomboon ◽  
...  

Abstract Background Presence of metabolic syndrome (MetS) in early life may influence cardiovascular outcome later in adulthood. There is limited data regarding MetS among Thai adolescents. This study aimed to estimate the prevalence of MetS and related factors in Thai adolescents. Methods Data on MetS components of 1934 Thai adolescents aged 10–16 years were obtained from the 5th National Health Examination Survey. Age at first screen time exposure, duration of screen time, frequency of food intake and physical activities were collected from interviews. MetS was defined according to 3 definitions: International Diabetes Federation (IDF), Cook’s, and de Ferranti’s. Results The prevalence of MetS was 4.1% by IDF, 8.0% by Cook’s, and 16.8% by de Ferranti’s definition. The overall prevalence was higher in male (19.0%) than female adolescents (15.3%). The most common MetS components composition among Thai adolescents was high waist circumference with high serum triglyceride and low HDL-cholesterol (40.0% for IDF, 22.6% for Cook’s and 43.5% for de Ferranti’s definition). Exposure to screen media during the first 2 years of life had a 1.3- fold increased odds of MetS by 1 out of 3 definitions (OR 1.30, 95% CI. 1.01–1.68). Duration of physical activity associated with decreased odds of MetS by Cook’s definition (OR 0.96, 95% CI. 0.92–0.99). Conclusions The prevalence of MetS among Thai adolescents was higher than previously reported by other studies. Screen media exposure during the first 2 years of life should be discouraged and measures to promote physical activity among children and adolescents should be strengthen.


2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Wichai Aekplakorn ◽  
Surasak Taneepanichskul ◽  
Pattapong Kessomboon ◽  
Virasakdi Chongsuvivatwong ◽  
Panwadee Putwatana ◽  
...  

This study determined the prevalence and management of dyslipidemia in Thai adults using data from the Thai National Health Examination Survey IV in 2009. Dyslipidemia was defined based on the Third Adult Treatment Panel guidelines. A total of 19,021 adults aged 20 yr and over were included. Mean (SE) levels of total cholesterol, HDL-C, LDL-C, and triglycerides were 206.4 (1.03), 46.9 (0.34), 128.7 (1.09), and 131.4 (2.20) mg/dL, respectively. Prevalence of high LDL-C, low HDL-C, and high triglycerides were 29.6 %, 47.1 %, and 38.6%, respectively. Compared with individuals in the north and northeast, residents in Bangkok and Central region had significant higher levels of LDL-C but lower level of HDL-C. Triglyceride level was the highest in the northeast residents. Overall, 66.5% of Thais had some forms of dyslipidemia. Awareness and treatment of high LDL-C among those with high LDL-C were 17.8% and 11.7%, respectively. Among individuals aware of high LDL-C, those at highest CHD risk compared with those at low risk had higher percentage of treatment (73.1% versus 51.7%, resp.) but lower percentage of control at goal (32.9% versus 76.4%, resp.). Various forms of dyslipidemia are common in Thai adults, with a low level of awareness and treatment of high LDL-C.


2021 ◽  
pp. 101053952110464
Author(s):  
Sirinapa Siwarom ◽  
Kwanchai Pirojsakul ◽  
Wichai Aekplakorn ◽  
Witchuri Paksi ◽  
Pattapong Kessomboon ◽  
...  

This study aimed to assess the performance of waist-to-height ratio (WHtR) in the prediction of metabolic syndrome and to determine the appropriate cutoff value in Thai adolescents. Demographic data, blood pressure, fasting blood glucose, and lipid profile were obtained from the Thai National Health Examination Survey V database. The performances of WHtR, waist circumference, body mass index (BMI), and BMI z-score were analyzed by the receiver operating characteristics. Among 2644 adolescents, metabolic syndrome was identified in 4.27%. The areas under the receiver operating characteristic curves of WHtR, waist circumference, BMI, and BMI z-score were comparable (0.924-0.960). Performance of WHtR was more constant across age groups compared with other parameters. Using the cutoff value of WHtR at 0.5 resulted in the sensitivity and specificity of 98.5%/83.4% and 88.9%/86.0% in males and females, respectively. In conclusion, the cutoff value of WHtR at 0.5 provided good sensitivity and specificity for identifying metabolic syndrome in both genders. However, the other clinical risk factors or more definite scores should be considered when further assessment.


2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Wichai Aekplakorn ◽  
Suwat Chariyalertsak ◽  
Pattapong Kessomboon ◽  
Savitree Assanangkornchai ◽  
Surasak Taneepanichskul ◽  
...  

Objective. To determine the prevalence and trend of diabetes, related glycemic control, and influential socioeconomic (SES) factors in the Thai population aged ≥20 years during 2004–2014. Methods. Data from the Thai National Health Examination Survey 2004, 2009, and 2014 were used. Age-adjusted prevalence was calculated, and the associations of education levels with prevalence of diabetes and glycemic control were examined using logistic regression. Results. Age-adjusted prevalence of diabetes increased from 7.7% in 2004 to 7.8% in 2009 and 9.9% in 2014 (8.9% among men and 10.8% among women). Proportions of undiagnosed diabetes were slightly decreased but remained high in 2014 (51.2% for men and 41.3% for women). Diabetes prevalence was higher among those with primary education in both sexes; however, undiagnosed diabetes was higher among women with secondary and university educations. The percentages of those treated and controlled slightly improved among men (45.9%) but not among women (36.4%). Unmet glycemic control was also higher among women with secondary education levels and among men with university-level educations. Conclusions. Epidemic diabetes continues to grow in the Thai population, particularly in individuals with lower educational attainment. Measures to detect new cases and strengthen glycemic control should be scaled up.


2013 ◽  
Vol 80 (5) ◽  
pp. 751-756 ◽  
Author(s):  
Chutintorn Sriphrapradang ◽  
Supatra Pavarangkoon ◽  
Wallaya Jongjaroenprasert ◽  
La-or Chailurkit ◽  
Boonsong Ongphiphadhanakul ◽  
...  

2019 ◽  
Vol 6 (1) ◽  
pp. 13 ◽  
Author(s):  
Hung Nguyen Ngoc ◽  
Wantanee Kriengsinyos ◽  
Nipa Rojroongwasinkul ◽  
Wichai Aekplakorn

Obesity in terms of excess fat mass is associated with increased morbidity, disability and mortality due to obesity-related disorders, including hypertension. Many hypertensive individuals are overweight and often receive their advice to lose weight related to body-fat, in order to lower their blood pressure. However, it is still unclear whether there is a strong association of adipose tissue measured by adiposity indicators with hypertension in the Thai population. Various adiposity indices have been published to distinguish the distribution of body fat with disparate properties. This study examined nine adiposity markers and their association with hypertension in 15,842 Thai adults ≥35 years old. Data were obtained from the nationwide Thai National Health Examination Survey 2009. Accuracy performance and associations of indexes with hypertension were analyzed by Area Under Curve (AUC) and logistic regression analyses. Regardless of gender, the best methods to distinguish performance were waist-to-height ratio (WHtR) [AUC: 0.640 (0.631–0.649)], followed by lipid accumulation product (LAP) [AUC: 0.636 (0.627–0.645)], waist circumference (WC) [AUC: 0.633 (0.624–0.641)], and Conicity index (C-Index) [AUC: 0.630 (0.621–0.639)]. Linear regression analysis exhibited the independent association of the top four indices, WC, WHtR, C-Index, and LAP with higher systolic and diastolic blood pressure. Those indices’ quartiles were graded in a dose-response manner which significantly increased at the higher quartiles. The indicator’s cutoff point carried the odds ratio of presence hypertension in the range of 1.7 to 2.5 (p < 0.001). Among the nine obesity indices, WHtR (cutoff >0.52) in both genders was the simplest and most practical measurement for adiposity in association with hypertension in middle-aged and elderly Thais.


PLoS ONE ◽  
2017 ◽  
Vol 12 (11) ◽  
pp. e0187231 ◽  
Author(s):  
Kriengkrai Srithanaviboonchai ◽  
Suwat Chariyalertsak ◽  
Jiraluck Nontarak ◽  
Sawitri Assanangkornchai ◽  
Pattapong Kessomboon ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Matos ◽  
C Matias Dias ◽  
A Félix

Abstract Background Studies on the impact of patients with multimorbidity in the absence of work indicate that the number and type of chronic diseases may increase absenteeism and that the risk of absence from work is higher in people with two or more chronic diseases. This study analyzed the association between multimorbidity and greater frequency and duration of work absence in the portuguese population between the ages of 25 and 65 during 2015. Methods This is an epidemiological, observational, cross-sectional study with an analytical component that has its source of information from the 1st National Health Examination Survey. The study analyzed univariate, bivariate and multivariate variables under study. A multivariate logistic regression model was constructed. Results The prevalence of absenteeism was 55,1%. Education showed an association with absence of work (p = 0,0157), as well as professional activity (p = 0,0086). It wasn't possible to verify association between the presence of chronic diseases (p = 0,9358) or the presence of multimorbidity (p = 0,4309) with absence of work. The prevalence of multimorbidity was 31,8%. There was association between age (p &lt; 0,0001), education (p &lt; 0,001) and yield (p = 0,0009) and multimorbidity. There is no increase in the number of days of absence from work due to the increase in the number of chronic diseases. In the optimized logistic regression model the only variables that demonstrated association with the variable labor absence were age (p = 0,0391) and education (0,0089). Conclusions The scientific evidence generated will contribute to the current discussion on the need for the health and social security system to develop policies to patients with multimorbidity. Key messages The prevalence of absenteeism and multimorbidity in Portugal was respectively 55,1% and 31,8%. In the optimized model age and education demonstrated association with the variable labor absence.


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