Incidence and Risk Factors of Metabolic Syndrome and 9-year Follow-up in Na Yao Community, Sanam Chai Khet District, Chacheongsao, Thailand

Authors

  • Jarukorn Sangbangmud 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Benyalak Kaewthanasin 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Kanit Jintabunyat 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Chanin Pokabarl 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Chalisa Limcharoenchai 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Natnarong Kanchana-Udomkan 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Tanaporn Apiraksaporn 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Teeragarn Supapunpinyo 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Pavitra Charoensrisakkul 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Phongkon Aiyarakanchanakun 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Patteera Suriyaraksh 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Peeraya Permkarnjaroen 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Vongsathorn Rojanapaiboon 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Suphat Lorchareonraung 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Aukrit Luangpattarawong 5th year Medical Cadet, Phramongkutklao College of Medicine
  • Phunlerd Piyaraj Department of Parasitology, Phramongkutklao College of Medicine
  • Ram Rangsin Department of Military and Community Medicine, Phramongkutklao College of Medicine

DOI:

https://doi.org/10.55374/jseamed.v2i1.18

Keywords:

Metabolic syndrome, Incidence, Rural Community, Central Thailand

Abstract

Background: Metabolic syndrome is an important risk factor for cardiovascular diseases and type 2 diabetes; it comprises a cluster of metabolic abnormalities including central obesity, insulin resistance, hypertension, dyslipidemia and endothelial dysfunction. In Thailand, the prevalence of metabolic syndrome ranges from 13.2 to 33.3% depending on differences in population and timing of each study. Therefore, due to the limitation of data related to incidence and risk factors of metabolic syndrome in Thailand, especially in rural areas, this study was established. Objectives: To estimate the incidence and risk factors of metabolic syndrome in Na Yao Community, Tha Kradan Subdistrict a rural community, central Thailand Methods: From a baseline survey conducted from 2008-2009, a total of 970 metabolic syndrome-free participants were enrolled in Na Yao Community, a rural area of Thailand. However, only 511 (52.6%) cases were re-exmined in December 2016 because the majority had died or migrated. The definition of metabolic syndrome was based on the NCEP-ATP IIl criteria to evaluate cumulative incidence and incidence density. The relative risk of possible risk factors was analyzed using Poisson regression Results: During the 9-year follow-up, the cumulative incidence was 14%. The incidence density was 3.47/100 person-years. In multivariate analysis using Poission regression, being female, having serum cholesterol greater than 200 mg/dL and increased BMI every 1 kg/m2 were considered risk factors of metabolic syndrome. Conclusion: The study determined the incidence density of metabolic syndrome in Na Yao Community as 3.47/100 person-years. The significant risk factors of metabolic syndrome were being female, having high serum cholesterol and increased BMI. Therefore, diet control and exercise are recommended to decrease the chance of developing modifiable risk factors (serum cholesterol and BMI). In addition, strategies to detect, treat and prevent metabolic syndrome must be established

Metrics

Metrics Loading ...

References

Dan L. Londo, M., Anthony S. Fauci, M. & Dennis L. Kasper, M. e. a., 2013. Harrison's Manual of Medicine. 18th ed. s.l.:McGraw-Hill.

International Diabetes Federation [Internet]. Brussels: International Diabetes Federation; c2006-2016 [updated 2011 Aug 9; cited 2016 Aug 18]. The IDF consensus worldwide definition of the metabolic syndrome [24 pages]. Available from: http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf

Deerochanawong C, Suwanwalaikorn S, Nittiyanant W, et al. Metabolic syndrome, diabetes and impaired glucose regulation in Thai high risk population. Abstract in Metabolic syndrome, type 2 diabetes and atherosclerosis congress at Marrakesh. Morocco. May 19-23,2004.

Nittiyanant W for the Diabetes Study Group of Thailand. Metabolic syndrome, ischemic heart disease and stroke in Thais with type 2 diabetes. Int Med J Thai 2005;21:24.

Pongchaiyakul C., Nguyen TV., Wanothayaroj E.,Krusun N., and Klungboonkrong V. Prevalence of Metabolic Syndrome and Its Relationship to Weight in Thai Population. Journal of The Medical Association of Thailand 2005;90:459-67.

Lohsoonthorn V., Lertmaharit S., and Williams M. A. Prevalence of Metabolic Syndrome among Professional and Office Workers in Bangkok, Thailand. Journal of The Medical Association of Thailand 2007;901:1908-15.

Santibhavank P. Prevalence of Metabolic Syndrome in Nakhon Sawan Population. Journal of The Medical Association of Thailand 2007;90:1109-15.

Hwang, J.H., et al., Incidence of metabolic syndrome and relative importance of five components as a predictor of metabolic syndrome: 5-year follow-up study in Korea. J Korean Med Sci, 2013. 28(12): p. 1768-73. DOI: https://doi.org/10.3346/jkms.2013.28.12.1768

Santos AC, Severo M, Barros H. Incidence and risk factors for the metabolic syndrome in an urban South European population. Prev Med 2010;50: 99-105 DOI: https://doi.org/10.1016/j.ypmed.2009.11.011

Yong-Woo Park, Shankuan Zhu, Latha Palaniappan, Stanley Heshka, Mercedes R. Carnethon, Steven B. Heymsfield, Prevalence and Associated risk factorfinding in the US population From the Third National Health and Nutrition Examination Survey 1988-1994, Original investigation. 2003

Pradhan, A.D., Sex differences in the metabolic syndrome: implications for cardiovascular health in women. Clin Chem, 2014. 60(1): p. 44-52. DOI: https://doi.org/10.1373/clinchem.2013.202549

Downloads

Published

2018-06-27

How to Cite

1.
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 [Internet]. 2018 Jun. 27 [cited 2024 Nov. 1];2(1):7-15. Available from: https://www.jseamed.org/index.php/jseamed/article/view/18

Issue

Section

Original Articles

Most read articles by the same author(s)

Similar Articles

1 2 3 4 5 6 > >> 

You may also start an advanced similarity search for this article.