Relation between metabolic syndrome and body compositions among Chinese adolescents and adults from a large-scale population survey

Table 1 Prevalence (%) of metabolic syndrome about demographic characteristics

Demographic characteristics	Total	One component	Two components	Three components	Four components	Five components	MetS	P ^*
Age (years)								<0.0001
10–17	11,174	35.51	12.49	3.00	0.77	0.06	3.83
18–29	5198	32.90	8.77	2.15	0.42	0.02	2.60
30–39	3940	33.10	17.08	7.26	1.45	0.18	8.88
40–49	4327	32.89	22.65	11.72	3.00	0.35	15.07
50–59	3654	31.86	24.66	15.68	5.77	0.74	22.19
60–69	2478	30.31	26.11	18.04	7.87	1.53	27.44
70–80	1265	37.87	23.16	16.92	4.90	1.74	23.56
Gender								<0.0001
Male	15,272	34.32	17.95	7.41	1.73	0.15	9.29
Female	16,764	33.15	15.53	8.01	2.98	0.56	11.58
Occupation								<0.0001
Physical laborer	11,270	33.35	20.91	12.15	4.21	0.79	17.15
Mental laborer	20,766	33.90	14.40	5.32	1.39	0.13	6.84
Ethnicity								<0.0001
Han	19,564	32.59	16.58	8.30	2.68	0.42	11.40
Yi	2830	40.32	17.99	5.97	1.31	0.18	7.46
Miao	603	30.18	13.60	5.47	1.82	0.00	7.30
Mongolia	2026	31.34	15.89	7.65	1.78	0.25	9.67
Tibetan	1243	34.35	11.34	3.30	1.05	0.24	4.59
Korean	1514	33.55	17.70	8.85	2.91	0.33	12.09
Hui	2973	37.50	19.58	7.97	2.62	0.50	11.10
Tujia	816	33.46	15.81	6.13	1.23	0.12	7.48
Others	467	30.41	14.78	6.64	2.14	0.00	8.78
Smoker								<0.0001
No	26,223	33.58	15.83	7.17	2.31	0.39	9.87
Yes	5813	34.30	20.54	10.22	2.68	0.28	13.18
Alcohol drinker								<0.0001
No	26,371	33.68	15.65	7.17	2.32	0.39	9.88
Yes	5665	33.84	21.50	10.27	2.67	0.26	13.20

^* P values were derived from chi-square test for compare the difference of the prevalence rates of MetS among different demographic characteristics

ISSN: 1471-2458