Original Article

Gender Differences in Risk Factors for Dyslipidemia in the Khmer Ethnic People, Vietnam

Abstract

Background: The majority of the Khmer ethnic people living in the Mekong Delta had a difficult socio-economic life and limited access to information and health services. The study was conducted to determine the prevalence of dyslipidemia and risk factors in men and women of the Khmer ethnic people, in Vietnam.

Methods: A cross-sectional study was conducted on 1.800 Khmer people aged 25 – 64 yr living in Tra Vinh Province in the Mekong Delta region of Vietnam. Data were analyzed using descriptive statistics and multivariate logistic regression.

Results: The prevalence of dyslipidemia was high in men (47.3%) and in women (51.4%). Men had a higher prevalence of high TG (28.9% vs. 23.9%), whereas the prevalence of high TC (34.1% vs. 42.4%), and high LDL-C (28.2% vs. 37.9%) were lower in women, (all P<0.05). In men, dyslipidemia was significantly associated with central obesity (OR=2.58, 95% CI=1.32-5.06), overweight/ obesity (OR=2.50, 95% CI=1.75-3.56), and diabetes (OR=2.15, 95% CI=1.22-3.78). In women, dyslipidemia was significantly associated with diabetes (OR=2.14, 95% CI=1.08-4.24), central obesity (OR=1.69, 95% CI=1.18-2.42), overweight/ obesity (OR=1.50, 95% CI=1.06-2.10), and hypertension (OR=1.43, 95% CI=1.03-1.99). Age was significantly associated with increased risk of dyslipidemia in both genders.

Conclusion: Overall, the prevalence of dyslipidemia among Khmer men and women adults aged 25 - 64 years in Vietnam was high. Our findings indicated an urgent need to have dyslipidemia prevention intervention programs for the Khmer ethnic people in the Mekong Delta, especially training about obesity and increasing healthy lifestyles.

 

1. Grundy SM, Cleeman JI, Merz CNB et al (2004). Implications of Recent Clinical Trials for the National Cholesterol Education Program Adult Treatment Panel III Guidelines. Circulation, 110(2):227-39.
2. World Health Organization (2014). Global Status Report On Noncommunicable Diseases 2014. Geneva, Switzerland: WHO. https://apps.who.int/iris/bitstream/handle/10665/148114/9789241564854_eng.pdf
3. Aekplakorn W, Taneepanichskul S, Kessomboon P et al (2014). Prevalence of Dyslipidemia and Management in the Thai Population, National Health Examination Survey IV. J Lipids, 2014:249584.
4. Ni WQ, Liu XL, Zhuo ZP et al (2015). Serum lipids and associated factors of dyslipidemia in the adult population in Shenzhen. Lipids Health Dis, 14(1):71.
5. Boo S, Yoon YJ, Oh H (2018). Evaluating the prevalence, awareness, and control of hypertension, diabetes, and dyslipidemia in Korea using the NHIS-NSC database: A cross-sectional analysis. Medicine, 97(51):e13713.
6. Joshi SR, Anjana RM, Deepa M et al (2014). Prevalence of Dyslipidemia in Urban and Rural India: The ICMR–INDIAB Study. Plos One, 9(5):44-9.
7. Li Q, Xianbin D, Wenge T et al (2015). Prevalence and Risk Factors Associated with Dyslipidemia in Chongqing, China. Int J Environ Res Public Health, 12:13455-65.
8. Najafipour H, Shokoohi M, Yousefzadeh G et al (2016). Prevalence of dyslipidemia and its association with other coronary artery disease risk factors among urban population in Southeast of Iran: results of the Kerman coronary artery disease risk factors study (KERCADRS). J Diabetes Metab Disord,15(49).
9. Na W, Chung B, Sohn B et al (2019). A Relationship between Dietary Patterns and Dyslipidemia in Urban-dwelling Middle-Aged Korean Men: Using Korean Genome and Epidemiology Study (KoGES). Clin Nutr Res, 8(3):219-28.
10. Pu J, Romanelli R, Zhao B et al (2016). Dyslipidemia in Special Ethnic Populations. Endocrinol Metab Clin North Am, 45(1):205-16.
11. Frank AT, Zhao B, Jose PO et al (2014). Racial/ethnic differences in dyslipidemia patterns. Circulation, 129(5):570-9.
12. Feng W, Wang Y, Liu K et al (2019). Exploration of dyslipidemia prevalence and its risk factors in a coastal city of China: a population-based cross-sectional study. Int J Clin Exp Med, 12(3):2729-37.
13. World Health Organization (2016). National survey on the risk factors of non-communicable diseases (steps) Viet Nam, 2015.
14. Nguyen HH, Nguyen VN (2019). Factor Affecting Poverty and Policy Implication of Poverty Reduction: A Case Study for the Khmer Ethnic People in Tra Vinh Province, Viet Nam. Journal of Asian Finance, Economics and Business, 6(1):315-9.
15. Pourhoseingholi MA, Vahedi M, Rahimzadeh M (2013). Sample size calculation in medical studies. Gastroenterol Hepatol Bed Bench, 6(1):14-7.
16. Mizushima D, Nguyen THD, Nguyen TD et al (2020). Dyslipidemia and cardiovascular disease in Vietnamese people with HIV on antiretroviral therapy. Glob Health Med, 2(1):39-43.
17. World Health Organization (2012). Noncommunicable Diseases and Their Risk Factors: STEPwise Approach to Surveillance (STEPS). World Health Organization: Geneva, Switzerland. https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/steps
18. World Health Organization (2004). Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet, 363(9403):157-63.
19. World Health Organization (2008). Waist Circumference and Waist - Hip Ratio. https://www.who.int/publications-detail-redirect/9789241501491
20. Chobanian AV, Bakris GL, Black HR et al (2003). Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension, 42(6):1206-52.
21. American Diabetes Association (2014). Diagnosis and Classification of Diabetes Mellitus. Diabetes Care, 37(1):S81-S90.
22. Grundy SM, Becker D, Clark LT et al (2002). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation, 106(25):3143-421.
23. Scheidt-Nave C, Du Y, Knopf H et al (2013). Prevalence of dyslipidemia among adults in Germany. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz, 56:661-7.
24. Shohaimi S, Boekholdt MS, Luben R et al (2014). Distribution of lipid parameters according to different socio-economic indicators – the EPIC-Norfolk prospective population study. BMC Public Health, 14(782).
25. Luo JY, Ma YT, Yu ZX et al (2014). Prevalence, awareness, treatment and control of dyslipidemia among adults in Northwestern China: the cardiovascular risk survey. Lipids Health Dis, 13(4).
26. Daviglus ML, Talavera GA, Aviles-Santa ML et al (2012). Prevalence of major cardiovascular risk factors and cardiovascular diseases among Hispanic/Latino individuals of diverse backgrounds in the United States. JAMA, 308(17):1775-84.
27. Mohammadbeigi A, Moshiri E, Mohammadsalehi EN (2015). Dyslipidemia Prevalence in Iranian Adult Men: The Impact of Population-Based Screening on the Detection of Undiagnosed Patients. World J Mens Health, 33(3):167-73.
28. Opoku S, Gan Y, Fu W et al (2019). Prevalence and risk factors for dyslipidemia among adults in rural and urban China: findings from the China National Stroke Screening and prevention project (CNSSPP). BMC Public Health, 19(1):1500.
29. Pham NM, Eggleston K (2016). Prevalence and determinants of diabetes and prediabetes among Vietnamese adults. Diabetes Res Clin Pract, 113:116-24.
30. Misra A, Shrivastava U (2013). Obesity and Dyslipidemia in South Asians. Nutrients, 5(7):2708-33.
31. Shi L, Hu J, Zhu K et al (2014). Changes of prevalence of dyslipidemia among adults: a cross‑sectional study with a 2‑year follow‑up in urban southeast China. Clin Lipidol, 9(1):33-47.
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IssueVol 51 No 11 (2022) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/ijph.v51i11.11165
Keywords
Dyslipidemia Risk factors Vietnam

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How to Cite
1.
Nguyen BT, Nguyen TV, Anh Do Le T, Le Thi N. Gender Differences in Risk Factors for Dyslipidemia in the Khmer Ethnic People, Vietnam. Iran J Public Health. 2022;51(11):2484-2493.