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Table 2 Demographic characteristics for significant spatial cluster compared to the remainder of the study area using GEE logistic regression

From: Geospatial analyses to identify clusters of adverse antenatal factors for targeted interventions

 

Smoking during pregnancy clusters n (%)

1st antenatal visit at ≥10 weeks clusters n (%)

 

Clusters

Remainder of the study area

p-value

Clusters

Remainder of the study area

p-value

 

47,593

147,907

 

96,308

99,192

 

Smoke during pregnancy

8,767 (18.6)

11,768 (8.1)

<0.0001

11,703 (12.3)

8,832 (9.1)

0.2465

1st antenatal visit ≥10 weeks

36,991 (79.2)

109,491 (75.1)

0.0112

77,767 (80.8)

68,715 (71.5)

<0.0001

Overseas-born

19,681 (41.4)

69,050 (46.7)

0.5045

52,914 (54.9)

35,817 (36.1)

0.0623

Maternal age (years)

  <35

40,552 (85.2)

115,607 (78.2)

<0.0001

79,123 (82.2)

77,036 (77.7)

0.3988

  ≥35

7,034 (14.8)

32,273 (21.8)

 

17,171 (17.8)

22,136 (22.3)

 

Index of Relative Socio-economic Disadvantage

  Most disadvantaged

20,447 (44.0)

44,094 (30.0)

0.4621

56,621 (56.4)

10,920 (11.1)

0.0014

  Middle and least disadvantaged

26,078 (56.1)

103,000 (70.0)

 

41,437 (46.6)

87,641 (88.9)

 

Plurality

1,386 (2.9)

4,500 (3.0)

0.1162

2,748 (2.9)

3,138 (3.2)

0.0021

Primiparous

17,616 (37.0)

65,647 (44.5)

<0.0001

40,000 (41.5)

43,263 (43.8)

0.8380