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Table 5 Prevalence and odds ratios of maternal and perinatal mortality and morbidity by birthweight percentile

From: Searching for the definition of macrosomia through an outcome-based approach in low- and middle-income countries: a secondary analysis of the WHO Global Survey in Africa, Asia and Latin America

Birthweight percentile

N

Maternal mortality and morbidity

Perinatal mortality and morbidity

Prevalence (%)

Adjusted OR (95 % CI)a

p value

Prevalence (%)

Adjusted OR (95 % CI)a,

p value

Africa

67546

      

 P50–P74

15747

6 · 3

1 · 00

4 · 3

1 · 00

 P75–P89

10150

6 · 6

1 · 17 (1 · 05, 1 · 31)

0 · 0056

4 · 3

0 · 98 (0 · 86, 1 · 11)

0 · 7055

 P90–P94

5247

5 · 7

1 · 07 (0 · 93, 1 · 24)

0 · 3383

5 · 0

1 · 07 (0 · 92, 1 · 25)

0 · 3900

 P95–P96

1820

6 · 6

1 · 31 (1 · 05, 1 · 62)

0 · 0144

5 · 4

1 · 15 (0 · 91, 1 · 45)

0 · 2301

  ≥ P97

6851

7 · 2

1 · 54 (1 · 36, 1 · 75)

<0 · 0001

5 · 8

1 · 10 (0 · 96, 1 · 26)

0 · 1794

Asia

91595

      

 P50–P74

18066

5 · 0

1 · 00

1 · 8

1 · 00

 P75–P89

14694

5 · 1

1 · 03 (0 · 92, 1 · 15)

0 · 5834

2 · 0

1 · 02 (0 · 86, 1 · 19)

0 · 8529

 P90–P94

5955

4 · 8

1 · 04 (0 · 89, 1 · 21)

0 · 6389

1 · 7

0 · 88 (0 · 70, 1 · 11)

0 · 2784

 P95–P96

3030

5 · 1

1 · 20 (0 · 98, 1 · 46)

0 · 0742

2 · 4

1 · 08 (0 · 83, 1 · 41)

0 · 5513

  ≥ P97

9574

6 · 4

1 · 41 (1 · 25, 1 · 59)

<0 · 0001

2 · 5

1 · 12 (0 · 94, 1 · 34)

0 · 1909

Latin America

87518

      

 P50–P74

20003

2 · 4

1 · 00

2 · 0

1 · 00

 P75–P89

12912

2 · 7

1 · 13 (0 · 98, 1 · 30)

0 · 1014

2 · 2

1 · 10 (0 · 94, 1 · 29)

0 · 2236

 P90–P94

5227

2 · 6

1 · 06 (0 · 87, 1 · 29)

0 · 5709

1 · 8

0 · 89 (0 · 71, 1 · 12)

0 · 3257

 P95–P96

2242

2 · 9

1 · 21 (0 · 92, 1 · 58)

0 · 1744

2 · 1

0 · 98 (0 · 72, 1 · 34)

0 · 9162

  ≥ P97

6284

3 · 0

1 · 23 (1 · 03, 1 · 47)

0 · 0215

2 · 8

1 · 31 (1 · 09, 1 · 58)

0 · 0042

  1. aAll estimates based on two-level logistic regression models. Facilities represent units at level two and individuals within facilities are observations at level one. We adjusted for country, maternal age, marital status, education (total years of school attendance), obesity, diabetes, parity, infant sex, and gestational age