Liu X, Yan L, Xue F. The associations of lipids and lipid ratios with stroke: a prospective cohort study. J Clin Hypertens. 2019;21:127–35.

Wannamethee SG, Shaper AG, Ebrahim S. HDL-cholesterol, total cholesterol, the risk of stroke middle-aged British men. Stroke. 2000;31:1882–8.

Article  CAS  PubMed  Google Scholar 

Jousilahti P, Vartiainen E, Pekkanen J, Tuomilehto J, Sundvall J, Puska P. Serum cholesterol distribution and coronary heart disease risk. Circulation. 1998;97:1087–94.

Article  CAS  PubMed  Google Scholar 

Peters SAE, Singhateh Y, Mackay D, Huxley RR, Woodward M. Total cholesterol as a risk factor for coronary heart disease and stroke in women compared with men: a systematic review and meta-analysis. Atherosclerosis. 2016;248:123–31.

Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, et al. Heart disease and stroke statistics—2023 update: a report from the American Heart Association. Circulation. 2023;147(8):e93–621.

Wichai Aekplakorn. Thai National Health Examination Survey VI (2019–2020) [Internet]. 2019. https://online.fliphtml5.com/bcbgj/znee/#p=187. Accessed 6 May 2023.

Wichai Aekplakorn. Thai National Health Examination Survey V (2014) [Internet]. 2014. https://kb.hsri.or.th/dspace/handle/11228/4604?locale-attribute=th. Accessed 6 May 2023.

Baygi F, Herttua K, Jensen OC, Djalalinia S, Mahdavi Ghorabi A, Asayesh H, et al. Global prevalence of cardiometabolic risk factors in the military population: a systematic review and meta-analysis. BMC Endocr Disord. 2020;20:1–17.

Sakboonyarat B. Rising trends in the predicted 10-year risk of cardiovascular diseases among Royal Thai Army personnel from 2017 to 2021. Sci Rep. 2023;13:1476.

Article  Google Scholar 

Sakboonyarat B, Poovieng J, Jongcherdchootrakul K, Srisawat P, Hatthachote P, Mungthin M, et al. Rising trends in obesity prevalence among Royal Thai Army personnel from 2017 to 2021. Sci Rep. 2022;12:7726.

Sakboonyarat B, Poovieng J, Srisawat P, Hatthachote P, Mungthin M, Rangsin R, et al. Prevalence, awareness, and control of hypertension and associated factors among Royal Thai Army personnel in Thailand from 2017 to 2021. Sci Rep. 2023;13:6946. 

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sakboonyarat B, Poovieng J, Jongcherdchootrakul K, Srisawat P, Hatthachote P, Mungthin M, et al. Prevalence of hypertriglyceridemia among Royal Thai Army personnel and its related cardiometabolic risk factors, from 2017 to 2021. BMC Public Health. 2022;22:1569.

Article  PubMed  PubMed Central  Google Scholar 

Kunanon S, Chattranukulchai P, Chotruangnapa C, Kositanurit W, Methavigul K, Boonyasirinant T, et al. 2019 Thai guidelines on the treatment of hypertension: executive summary. J Med Assoc Thai. 2021;104:1729–38.

Article  Google Scholar 

Daniel WW. Biostatistics: a foundation for analysis in the health sciences. Biometrics. 1995;51:386.

Article  Google Scholar 

American Diabetes Association. Executive summary: standards of medical care in diabetes—2012. Diabetes Care. 2012;35(Suppl):1.

Google Scholar 

Inoue S, Zimmet P, Caterson I, Chunming C, Ikeda Y, Khalid AK, et al. The Asia-Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia Pty Ltd.; 2000.

Google Scholar 

Sweeney JP, WeBirauch JL. Summary of available data for cholesterol in foods and methods for its determination. Crit Rev Food Sci Nutr. 1976;8:131–59.

Article  CAS  Google Scholar 

Carson JAS, Lichtenstein AH, Anderson CAM, Appel LJ, Kris-Etherton PM, Meyer KA, et al. Dietary cholesterol and cardiovascular risk: a science advisory from the American heart association. Circulation. 2020;141(3):e39–e53.

Afolabi WAO, Oyawoye OO, Sanni SA, Onabanjo OO. Proximate and cholesterol composition of selected fast foods sold in Nigeria. Niger Food J. 2013;31:70–6.

Article  Google Scholar 

Huang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2:231–7.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sakboonyarat B, Rangsin R, Mittleman MA. Incidence and risk factors of metabolic syndrome among Royal Thai Army personnel. Sci Rep. 2022;12:1–11.

Article  Google Scholar 

Sangbangmud J, Kaewthanasin B, Jintabunyat K, Pokabarl C, Limcharoenchai C, Kanchana-Udomkan N, et al. Incidence and risk factors of metabolic syndrome and 9-year follow-up in Na Yao Community, Sanam Chai Khet District, Chacheongsao, Thailand. J Southeast Asian Med Res. 2018;2:7–15.

Article  Google Scholar 

Haruyama Y, Nakagawa A, Kato K, Motoi M, Sairenchi T, Umesawa M, et al. Incidence of metabolic syndrome in young japanese adults in a 6-year cohort study: the Uguisudani Preventive Health Large-Scale cohort study (uphls). J Epidemiol. 2020;30:219–26.

Article  PubMed  PubMed Central  Google Scholar 

Shang P, Shu Z, Wang Y, Li N, Du S, Sun F, et al. Veganism does not reduce the risk of the metabolic syndrome in a taiwanese cohort. Asia Pac J Clin Nutr. 2011;20:401–10.

Mann S, Beedie C, Jimenez A. Differential effects of aerobic exercise, resistance training and combined exercise modalities on cholesterol and the lipid profile: review, synthesis and recommendations. Sports Med. 2014;44:211–21.

The Royal College of Physicians of Thailand. 2016 RCPT clinical practice guideline on pharmacologic therapy of dyslipidemia for atherosclerotic cardiovascular disease prevention [Internet]. 1st ed. Pathumthani: A-Plus Print; 2016. http://www.thaiheart.org/Download/2016-RCPT-Dyslipidemia-Guideline.html. Accessed 6 May 2023.

Diabetes Association of Thailand under The Patronage of Her Royal Highness Princess Maha Chakri Sirindhorn, Endocrine Society of Thailand, Department of Medical Services M of PH, Office NHS. Clinical Practice Guideline for Diabetes 2017. Bangkok, Thailand; 2017.

Kim HL, Chung J, Kim KJ, Kim HJ, Seo WW, Jeon KH, et al. Lifestyle modification in the management of metabolic syndrome: statement from Korean Society of CardioMetabolic Syndrome (KSCMS). Korean Circ J. 2022;52:93–109.

Article  CAS  PubMed  Google Scholar 

Karmali KN, Lloyd-Jones DM, van der Leeuw J, Goff DC, Yusuf S, Zanchetti A, et al. Blood pressure-lowering treatment strategies based on cardiovascular risk versus blood pressure: a meta-analysis of individual participant data. PLoS Med. 2018;15:e1002538.

Article  PubMed  PubMed Central  Google Scholar 

Hajifathalian K, Ueda P, Lu Y, Woodward M, Ahmadvand A, Aguilar-Salinas CA, et al. A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys. Lancet Diabetes Endocrinol. 2015;3:339–55.

Article  PubMed  Google Scholar 

Guideline CG181 N. Cardiovascular disease: risk assessment and reduction, including lipid modification. Methods. 2023.