- Research article
- Open Access
- Open Peer Review
Prevalence of the Metabolic Syndrome among rural original adults in NingXia, China
© Yi et al; licensee BioMed Central Ltd. 2010
- Received: 21 December 2009
- Accepted: 17 March 2010
- Published: 17 March 2010
Metabolic syndrome (MS) is combination of medical disorders that increase people's risk for cardiovascular disease and diabetes mellitus. Little data exists on the prevalence of MS of rural original adults in Ningxia of China.
A cross-sectional survey method was used and the participants were interviewed by trained health workers under a structured questionnaire in rural of Ningxia in 2008. The number of research subjects was 1612. MS was defined by International Diabetes Federation IDF (2005).
The age-adjusted prevalence of the metabolic syndrome was 11.8%, whereas ethnic-specific prevalence was 10.3% in Han ethnic group and 13.7% in Hui ethnic group. Components of MS and MS were more common in Hui ethnic group than Han ethnic group. The mean levels and prevalence of abnormal value increased with increasing age in both ethnic groups (Cochran-Artimage test for trend, Hui ethnic group P < 0.05, Han ethnic group P < 0.01).
The prevalence of MS was high in rural residents' adults in Ningxia. Clustering of MS components and MS was increased with age. The components of MS have big differences among different ethnic groups.
- Metabolic Syndrome
- Ethnic Group
- International Diabetes Federation
- Metabolic Syndrome Component
- Lower Educational Background
It is well accepted that the metabolic syndrome is a condition that promotes atherosclerosis and increases the risk of cardiovascular disease and diabetes mellitus [1–3]. Each abnormality of syndrome (ie, atherogenic dyslipidemia, a prothrombotic state, insulin resistance, hypertension, and abdominal obesity) can enhances the risk of atherosclerosis independently, but when clustered together, these metabolic disorders are increasingly atherogenic and enhance the risk of cardiovascular morbidity and mortality .
Several studies had illustrated a high prevalence of diabetes, impaired glucose tolerance, obesity, and hypertension among Chinese [4–9]. However, all of the studies focused on estimating the population distribution of the all ethnics and major risk factors for CVDs. There was a lack of studies available to provide information on the prevalence of MS in rural population in China, especially in the relatively un-developed area likes Ningxia. In addition to the development of area, the lifestyle closely linked with the specific ethnic group traditions could be another important factor to influence the prevalence of MS. Finally, we supposed that such kind of specific participants, with average but stable income and living condition, lower educational background and lower health awareness in rural area in Ningxia of China, could provide us opportunity to get more confident results. Here we used the working definition provided by the International diabetes federation (IDF2005) to estimate the prevalence of the metabolic syndrome between Han ethnic group and Hui ethnic group among Ningxia rural original peoples.
The study was a chronic disease and nutrition survey carried out in the province of Ningxia in china (100% rural area). Data collection started in May 2008 and ended in March 2009. To control the precision of sampling, stratified cluster sampling was applied. First, different levels of economic income region (Wuzhong city and Guyuan city) were selected among the total five regions in Ningxia, then one Hui ethnic village and one Han ethnic village were randomly selected in each region. Sampling database was based on the age-ethnic distribution of the Ningxia province by local government Statistical department (census 2005). The target group was all Ningxia original rural peoples aged ≥ 25 years who resided in countryside for at least fourth generations before the date of survey. During the study period, 2082 inhabitants from the area and without any clinical evidence for cardiovascular disease were randomly selected by computer to participate in the study; finally 1612 were enrolled through whole study. Thus, 22.5% of those who were eligible did not participate due to several reasons (eg, lack of time or unexpected reasons that forced them to cancel the interview) that were not related to the hypothesis tested. Among them, 928 were Han ethnic group and 684 were Hui ethnic group. The subjects did not report chronic viral infection, cold or flu, acute respiratory infection, dental problems, or any type of surgery in the week preceding the study. All participants were interviewed by trained person with a standard closed-ended questionnaire.
The study protocol has been approved by The Medical Ethics Review Committee of Ningxia Medical University and there are no activities against ethical policies in China. All participants have signed the consent on enrolment after they received written and verbal information about the trial.
Anthropometric, clinical, and biochemistry characterizations
Standing height was measured once using a portable ruler (made in china), body weight was also measured once using a weight scale (made in china). All measurements were performed by the study investigators. Body mass index (BMI) was calculated as kg/m2. Obesity was defined as BMI ≥ 30 according to WHO standard guidelines . Arterial blood pressure was measured three times in sitting position. All participants were at rest at least 30 minutes before the measurement. Patients with average blood pressure ≥ 140/90 mmHg or taking antihypertensive medication were classified as hypertensive. Blood samples were collected from the antecubital vein between 6 and 8 Am, after 10 hours of fasting and avoidance of alcohol. Two sets of fasting blood samples were collected from each subject in sodium fluoride potassium oxalate tubes (for glucose) and lithium heparin vacuum tubes (for lipids). Samples were centrifuged at the survey site, and plasma was transferred to separate tubes and labelled and transferred immediately in cold boxes filled with ice (2-8°C). Finally samples were frozen at -20°C for further analysis afterwards. HDL cholesterol and triglyceride levels were measured using chromatographic enzyme method (Automatic biochemical analyzer OLYMPUS AU400). The intra and inter-assay coefficient of variation of cholesterol and triglycerides did not exceed 4%. Hypercholesterolemia was defined as total serum cholesterol levels ≥ 5.72 mmol/L. Blood glucose level were measured immediately after on-site collection with Blood Glucose Meter (Life Scan inc. Milpitas, CA 95035 U.S.A.)
The Metabolic Syndromes
In International Diabetes Federation (IDF 2005) definition, a participant was defined as having metabolic syndrome if he or she had central obesity (waist circumference ≥ 90 cm for men or ≥ 80 cm for women in Chinese people) plus at least 2 of the following criteria: (1) triglyceride level ≥ 1.7 mmol/L; (2) reduced HDL-C levels of less than 1.03 mmol/L in men, less than 1.29 mmol/l in women; (3) raised systolic or diastolic blood pressure of 130/85 mm Hg or higher or previously diagnosed hypertension; and (4) raised fasting plasma glucose level of 5.6 mmol/L or higher or previously diagnosed type 2 diabetes mellitus.
Continuous variables are presented as mean values ± standard deviation and categorical variables are presented as absolute and relative frequencies or prevalence. Associations between categorical variables were tested by χ2 test and Cochran-Artimage test for trend analysis, while differences in biochemical and clinical indexes between categorical variables were tested by ANOVA. All reported p values are based on two-sided tests with a significance level of 5%. All data were input into Epidata first and then exported into SPSS. SPSS (version 14.0 SPSS Corp, College Station, NX) was used for all statistical analysis. To facilitate comparisons with other published data, all prevalence rates were age-adjusted by direct method  with step size of 10-years using the Word Stand Population .
Socio-demographics, clinical characteristic, lipid profile and fasting glucose of study participants
Han ethnic group
(n = 928)
Hui ethnic group
(n = 684)
Demographic and lifestyle variables
Absolute and Relative (%) Frequency
χ2 = 7.128
P = 0.129
Mean ± SD
78.6 ± 8.9
79.7 ± 9.8
23.1 ± 3.1
23.7 ± 3.3
Diastolic blood pressure (mmHg)
78.7 ± 11.4
80.4 ± 20.0
Systolic blood pressure (mmHg)
122.6 ± 20.3
122.5 ± 24.7
Total serum cholesterol (mmol/L)
3.8 ± 0.8
3.9 ± 0.8
High-density lipoprotein cholesterol
1.2 ± 0.3
1.1 ± 0.2
1.2 ± 0.7
1.2 ± 0.8
Blood glucose (mmol/L)
5.6 ± 1.2
5.6 ± 1.1
Age-adjusted prevalence of individual metabolic abnormalities of the metabolic syndrome among rural adults in Ningxia aged ≥ 25.
Absolute and Prevalence (%, 95%CI)
Han ethnic group
Hui ethnic group
234 (14.7, 12.4-16.9)
224 (17.9, 15.3-20.7)
458 (15.6, 13.8-17.4)
23 (1.3, 0.6-2.0)
29 (2.2, 1.1-3.3)
52 (1.6, 1.0 -2.2)
Low HDL cholesterol
376 (30.4, 26.9-33.8)
805 (27.7, 25.5-29.9)
364 (21.1, 18.5-23.7)
257 (21.2, 18.1-24.2)
621 (21.1, 19.2-23.2)
129 (7.6, 5.9-9.3)
117 (9.7, 7.5-11.9)
246 (8.5, 7.1-9.8)
High FPG or on medication
713 (24.2, 22.1-26.3)
Metabolic syndrome (IDF)
186 (10.3, 8.4-12.3)
169 (13.7, 11.2-16.3)
355 (11.8, 10.2-13.4)
This study shows, for the first time, a high prevalence of MS (11.8%), based on the IDF2005 definition, in Ningxia original rural population (Han ethnic group, 10.3%; Hui ethnic group, 13.7%). The results obtained in our study are similar to that published in a general China survey , 9.8% (95% CI 9.0-10.6) in men and17.8% (16.6-19.0) in women using ATP III Recently, Chien  Sibai reported that the prevalence of MS in Chinese on the hospital-based was 16.2% for men and 19.0% for women; the overall prevalence of the MS in adult Lebanese population was 31.2% based on the IDF definition; In USA, the age-adjusted prevalence of MS were 23.7% from the Third National and Nutrition Examination Survey using ATP III ; there were 21.0% Omani adults with MS using ATP III . These findings show that the MS have become serious public health challenges for Ningxia original rural population.
The prevalence of the MS was higher among Hui ethnic group compared with Han ethnic group in Ningxia original rural population. Among different Americans, the prevalence of MS in African-Americans and Mexican-Americans were higher than other ethnic groups [15–17]. The discrepancy in a variety of ethnic groups was likely due to the difference in body fat between these ethnic groups and others. In Ningxia rural area, Hui ethnic group generally have their special eating habits, overweight and obesity are more common among them. In our study, the greatest difference observed between the two ethnic groups was the prevalence of overweight (17.9% in Hui ethnic group versus 14.7% in Han ethnic group), this indicates that the link between lifestyle can be crucial factor for MS. However, the prevalence of the MS increased with the age in both ethnic groups. Other researchers have also reported similar effect of age on the prevalence of MS [4, 6, 12, 18, 19]. This increase can be attributed to a similar age-related trend in all components of MS.
Over half of rural adults have abnormality in HDL cholesterol level, and Han ethnic group was less than Hui ethnic group. This may have several causes, such as elevated triglycerides, overweight and obesity, diabetes and physical inactivity, many of which are associated with insulin resistance [20–22]. Ningxia Hui ethnic group originated from the ancient Arabs and Persians. Alcohol consumption is known to be the key factor among diet factors to increase the possibility of abnormality in HDL level [23–25]. But alcohol drinking is rare among the traditional Islamic populations (< 3% of men in Ningxia rural area drink alcohol). So the relatively high abnormality in HDL level should be more linked with other diet factors, if such strong effects exist. Interestingly, low HDL level were also observed by Abla et.al  among Lebanese population (51.9% in men, 47.3% in women). Based on present results, it is impossible to make conclusion whether this similarity is due to a genetic predisposition of Arabs of Middle Eastern origin or similar lifestyle factors.
Our figure is likely to be an underestimate of the true prevalence of the MS in normal Ningxia rural population because the population studied in Ningxia is more representative of rural communities where the society consists of tribal people living together with high levels of social networking. Since 1980s and soon after the Reform and Opening in china, people's living levels were developed rapidly, leading to personal income growth, better housing, and overall improvements in the population's socioeconomic conditions.
The prevalence of abnormal obesity was remarkably higher among Hui ethnic group than Han. This might be partially explained by the difference in genetic predisposition between two ethnics. However, the influence of diet habit can't be excluded. The special cultural and social restrictions in Chinese Hui ethnic group often require them to be segregated in the whole Chinese population, especially in the undeveloped original rural areas. They are not severely influenced by the Han population living around in the same area. Meantime, actually both Hui and Han population living in the same area normally took very similar physical activities. The main difference is still diet habit. For example, Hui have preferred animal fats (butter and mutton fat) and deep-fried foods for very long history. The difference in such lifestyle might be considered as the key factor leading to the difference in the prevalence of MS, these need further investigation.
It should be noted that our results are obtained by using cross-sectional data; no simple and causal relationships can be easily concluded. The sample consists of only Ningxia rural people, and might not be represented for the whole populations in Ningxia; we mainly selected adults in rural area who were farmers. However, this population represented a large inhabitant group with average living quality with stable income and living condition, lower educational background and lower health awareness in rural area in Ningxia of China.
In conclusion, the age-adjusted prevalence of MS was more than 11.8% of rural adults in Ningxia of China. The present study reveals that the MS and components of MS was higher in Hui ethnic group than that in Han ethnic group; clustering of MS components and MS increase with age. This study demonstrated that epidemic of MS is not limited to the developed countries. Thus, more developing countries should expect significant burden from chronic diseases. Such findings should be taken into account when planning new or expansion of existing health service and when implementing future chronic disease prevention and control programs.
The study was financially supported by the State Natural Science Foundation of China (No. 30760215). We thank Doctors Su Junshen of Chen Yuantan Rural Hospital and Cai Jiyong of San Yin Rural Hospital for their administrative support during the performing stage of the study. We also thank Doctor Kang of Yinchuan Maternal and Child Health Institute, Ningxia, China for her assistance in laboratory analysis.
- Alberti K, Zimmet P, Shaw J: The metabolic syndrome-a new world-wide definition from the International Diabetes Federation Consensus. Lancet. 2005, 366: 1059-1062. 10.1016/S0140-6736(05)67402-8.View ArticlePubMedGoogle Scholar
- Chien K, Hsu L, C H, Sung F, Su C, et al: Metabolic syndrome as a risk factor for coronary heart disease and stroke: an 11-year prospective cohort in Taiwan community. Atherosclerosis. 2007, 194 (1): 214-221. 10.1016/j.atherosclerosis.2006.07.033.View ArticlePubMedGoogle Scholar
- Bahrami H, Sadatsafavi M, Pourshams A, Kamangar F, Nouraei M, et al: Obesity and hypertension in an Iranian cohort study; Iranian women experience higher rates of obesity and hypertension than American women. BMC Public Health. 2006, 6: 158-10.1186/1471-2458-6-158.View ArticlePubMedPubMed CentralGoogle Scholar
- Li Z, Xu GB, Xia TA: Prevalence rate of metabolic syndrome and dyslipidemia in a large professional population in Beijing. Atherosclerosis. 2006, 184 (1): 188-192. 10.1016/j.atherosclerosis.2005.03.033.View ArticlePubMedGoogle Scholar
- Gu D, Reynolds K, Wu X, Chen J, Duan X, Reynolds RF, Whelton PK, He J: Prevalence of the metabolic syndrome and overweight among adults in China. Lancet. 2005, 365: 1398-1405. 10.1016/S0140-6736(05)66375-1.View ArticlePubMedGoogle Scholar
- Chen L, Jia W-P, Lu J, Bao Y, Wu Y, Jiang S, Xiang K: Prevalence of metabolic syndrome among Shanghai adults in China. J Clin Endocrinol Metab. 2008, 93 (10): 3833-3838. 10.1210/jc.2007-2788.View ArticleGoogle Scholar
- Gu D, Reynolds K, Wu X, Chen J, Duan X, et al: Prevalence, awareness, treatment, and control of hypertension in china. Hypertension. 2002, 40 (6): 920-927. 10.1161/01.HYP.0000040263.94619.D5.View ArticlePubMedGoogle Scholar
- Jurj AL, Wen W, Gao YT, Matthews C, et al: Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women. BMC Public Health. 2007, 7: 213-10.1186/1471-2458-7-213.View ArticlePubMedPubMed CentralGoogle Scholar
- Fu J, Binyou L, Terry WC: A new approach to the study of diet and risk of type 2 diabetes. J Postgrad Med. 2007, 53 (2): 139-143. 10.4103/0022-3859.32219.View ArticleGoogle Scholar
- WHO: Obesity: preventing and managing the global epidemic. Report of a WHO consultation presented at the World Health Organization June 3-5,1997. 1998, Switzerland: World Health Organization, 3-5.Google Scholar
- King H, Rewers M: Global estimates of diabetes mellitus and impaired glucose tolerance in adults. Diabetes Care. 1993, 16: 157-177. 10.2337/diacare.16.1.157.View ArticlePubMedGoogle Scholar
- Al-Lawati JA, Mohammed AJ, Al-Hinai HQ, et al: Prevalence of the metabolic syndrome among Omani adults. Diabetes Care. 2003, 26 (6): 1781-1785. 10.2337/diacare.26.6.1781.View ArticlePubMedGoogle Scholar
- Chien K, Lee L, C B, Hsu H, Lin C, et al: Prevalence, agreement and classification of various metabolic syndrome criteria among ethnic Chinese: a report on the hospital-based health diagnosis of the adult population. Atherosclerosis. 2008, 196 (2): 764-771. 10.1016/j.atherosclerosis.2007.01.006.View ArticlePubMedGoogle Scholar
- Sibai A-M, Obeid O, Batal M, Adra N, El Khoury D, Hwalla N: Prevalence and correlates of metabolic syndrome in an adult Lebanese population. CVD Prev Control. 2008, 3 (2): 83-90. 10.1016/j.precon.2007.06.002.View ArticleGoogle Scholar
- Ford ES, Giles WH, Dietz WH: Prevalence of the Metabolic Syndrome Among US Adults Findings Frome the Third National Health and Nutrition Examination Survey. JAMA. 2002, 287: 356-359. 10.1001/jama.287.3.356.View ArticlePubMedGoogle Scholar
- Ramachandran A, Snehalatha C, Satyavani K, Sivasankari S, Vijay V: Metabolic syndrome in urban Asian Indian adults--a population study using modified ATP III criteria. Diabetes Res Clin Pract. 2003, 60 (3): 199-204. 10.1016/S0168-8227(03)00060-3.View ArticlePubMedGoogle Scholar
- Kraja AT, Rao DC, Weder AB, Mosley TH, et al: An evaluation of the metabolic syndrome in a large multi-ethnic study: the Family Blood Pressure Program. Nutr Metab (Lond). 2005, 2: 17-10.1186/1743-7075-2-17.View ArticleGoogle Scholar
- Escobedo J, Schargrodsky H, Champagne B, Silva H, Boissonnet CP, et al: Prevalence of the Metabolic Syndrome in Latin America and its association with sub-clinical carotid atherosclerosis: the CARMELA cross sectional study. Cardiovascular Diabetology. 2009, 8 (1): 52-10.1186/1475-2840-8-52.View ArticlePubMedPubMed CentralGoogle Scholar
- Medina-Lezama J, Zea-Diaz H, Morey-Vargas OL, et al: Prevalence of the metabolic syndrome in Peruvian Andean hispanics: the PREVENCION study. Diabetes Res Clin Pract. 2007, 78 (2): 270-281. 10.1016/j.diabres.2007.04.004.View ArticlePubMedGoogle Scholar
- Kraja AT, Hunt CS, Pankow JS, Myers RH, et al: An evaluation of the metabolic syndrome in the HyperGEN study. Nutr Metab (Lond). 2005, 2 (1): 2-10.1186/1743-7075-2-2.View ArticleGoogle Scholar
- Brooks N, Layne JE, Gordon PL, Roubenoff R, et al: Strength training improves muscle quality and insulin sensitivity in Hispanic older adults with type 2 diabetes. Int J Med Sci. 2006, 4 (1): 19-27.PubMedPubMed CentralGoogle Scholar
- Meshkani R, Taghikhani M, Larijani B, Khatami S, Khoshbin E, et al: The relationship between homeostasis model assessment and cardiovascular risk factors in Iranian subjects with normal fasting glucose and normal glucose tolerance. Clin Chim Acta. 2006, 371 (1-2): 169-175. 10.1016/j.cca.2006.03.018.View ArticlePubMedGoogle Scholar
- Djousse L, Arnett DK, Eckfeldt JH, Province MA, et al: Alcohol consumption and metabolic syndrome: does the type of beverage matter?. Obes Res. 2004, 12 (9): 1375-1385. 10.1038/oby.2004.174.View ArticlePubMedGoogle Scholar
- Fan AZ, Russell M, Dorn J, Freudenheim JL, Nochajski T, et al: Lifetime alcohol drinking pattern is related to the prevalence of metabolic syndrome. The Western New York Health Study (WNYHS). Eur J Epidemiol. 2006, 21 (2): 129-138. 10.1007/s10654-005-5457-y.View ArticlePubMedGoogle Scholar
- Fan A, Russell Z, Naimi M, Li T, Liao Y, et al: Patterns of Alcohol Consumption and the Metabolic Syndrome. J Clin Endocrinol Metab. 2008Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/10/140/prepub
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