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. 2017 Mar 4;14:33. doi: 10.1186/s12978-017-0297-2

Table 2.

The odds ratio of spontaneous abortion associated different socioeconomic status

Women without SA n = 76,034 Women with SA n = 5,418 Crude OR (95% CI) Adjusted OR (95% CI) a
Region (%)
 Urban 45.64 24.73 1.00 1.00
 Rural 54.36 75.27 2.56 (2.40–2.72) 1.68 (1.54–1.84)
p for difference b <0.001 <0.001
Annual household income, Yuan (%)
  < 20,000 52.68 64.89 1.00 1.00
  ≥ 20,000 47.32 35.11 0.60 (0.57–0.64) 0.90 (0.84–0.97)
p for trendc <0.001 0.003
Highest level of education (%)
 Primary school and below 30.05 37.49 1.00 1.00
 Middle school 40.72 43.13 0.85 (0.80–0.90) 0.98 (0.92–1.04)
 High school and above 29.23 19.38 0.53 (0.49–0.57) 0.90 (0.82–0.98)
p for trend c <0.001 0.033
Current occupation (%)
 Agricultural worker and related workers 39.17 59.06 1.00 1.00
 Factory worker 25.95 14.29 0.37 (0.34–0.40) 0.59 (0.53–0.66)
 Professional worker 16.79 9.93 0.39 (0.36–0.43) 0.75 (0.66–0.84)
 Housewife 6.26 7.95 0.84 (0.76–0.94) 1.11 (0.99–1.24)
 Unemployed 5.11 3.14 0.41 (0.35–0.48) 0.84 (0.71–1.01)
 Other or not stated 6.72 5.63 0.56 (0.49–0.63) 0.95 (0.83–1.09)
p for heterogeneity d <0.001 0.008

NB The COR and AOR in the text represent the crude OR and adjusted OR in the table, respectively

a Adjustments: rural/urban, income, education, occupation, tea consumption, alcohol consumption, smoking status, induced abortion count

b p for difference was used to test the difference between rural and urban area as binary variable

c p for trend was used to test the significance of trend on ordinal categorical variables like income and educational level

d p for heterogeneity was used to test the heterogeneity between occupation as unordered categorical variables

Bold values signify significant findings p <0.05