Re-look at socioeconomic inequalities in stroke prevalence among urban Chinese: is the inflexion approaching?

BMC Public Health

Table 1 Selected socio-demographic characteristics of participants in survey 2000 and 2011 in Nanjing, China

Variables	Survey 2000 (N = 19,861)	Survey 2011 (N = 7824)	p value^b
Variables	% (n)	% (n)	p value^b
Age (yrs)
35–49	44.3 (8793)	40.3 (3154)	< 0.01
50–64	34.5 (6849)	34.0 (2662)
65+	21.2 (4219)	25.7 (2008)
Gender
Female	50.3 (9990)	49.4 (3867)	0.68
Male	49.7 (9871)	50.6 (3957)	0.68
Educational attainment (yrs)
0–9	54.6 (10849)	59.8 (4681)	< 0.01
10–12	25.2 (4996)	24.6 (1928)
13+	20.2 (4016)	15.5 (1215)
Occupation^a
Blue collar	51.2 (10178)	49.7 (3889)	0.01
White collar	48.8 (9683)	50.3 (3935)	0.01
Healthcare insurance
Insured	71.9 (14282)	75.3 (5894)	< 0.01
Non-insured	28.1 (5579)	24.7 (1930)	< 0.01
FAI (¥/m)	551.3 ± 426.7	1575.6 ± 1243.2	< 0.001

^aBlue collar = farmer, factory worker, forestry worker, fisher and military person, salespeople, house worker and vehicle driver; White collar = office worker, teacher, doctor and academic researcher, government officer
^bChi-square test was calculated to compare the categorical socio-demographic characteristics of participants

ISSN: 1471-2458