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Table 4 Factors associated with infant growth (defined as length-for-age z-scores) from the univariable and multivariable regression analysis

From: Maternal BMI mediates the impact of crop-related agricultural work during pregnancy on infant length in rural Pakistan: a mediation analysis of cross-sectional data

  

Model 1 (n = 1134)

Model 2 (n = 1083)

Model 3 (n = 1083)

Model 4 (n = 1083)

 

n

β (95% CI) 1

β (95% CI) 2

β (95% CI) 2

β (95% CI) 2

Agriculture related factors

 Any crop-related work during pregnancy

1122

p = 0.005

p = 0.06

  

  No

644

Ref3

Ref

  

  Yes

478

−0.26 (−0.44; − 0.08)

− 0.19 (− 0.38; 0.01)

  

 Cotton harvesting during pregnancy

1122

p < 0.0001

 

p = 0.001

 

  No

803

Ref

 

Ref

 

  Yes

319

−0.39 (− 0.58; − 0.19)

 

− 0.35 (− 0.55; − 0.14)

 

 Livestock-related work during pregnancy

1122

p = 0.39

  

p = 0.39

  No

483

Ref

  

Ref

  Yes

639

−0.08 (− 0.26; 0.10)

  

−0.08 (− 0.28; 0.11)

Individual level factors

  

p = 0.67

p = 0.49

p = 0.57

p = 0.57

 Infant age

1134

0.03 (−0.12; 0.19)

0.06 (−0.10; 0.22)

0.04 (− 0.11; 0.20)

0.04 (− 0.11; 0.20)

 Sex of the infant

1134

p = 0.11

p = 0.008

p = 0.009

p = 0.009

  Male

569

Ref

Ref

Ref

Ref

  Female

565

0.13 (−0.03; 0.28)

0.20 (0.05; 0.35)

0.19 (0.05; 0.34)

0.20 (0.05; 0.35)

  

p < 0.0001

   

 Maternal parity

1128

0.09 (0.05; 0.13)

   
  

p < 0.0001

   

 Maternal BMI

1134

0.07 (0.05; 0.09)

   
  

p < 0.0001

p < 0.0001

p < 0.0001

p < 0.0001

 Maternal height

1134

0.06 (0.05; 0.08)

0.06 (0.05; 0.08)

0.06 (0.05; 0.08)

0.06 (0.05; 0.08)

Household level factors

 Maternal education

1128

p = 0.004

p = 0.23

p = 0.22

p = 0.21

  Not educated

912

Ref

Ref

Ref

Ref

  Primary school

134

0.12 (−0.15; 0.38)

−0.01 (−0.29; 0.27)

−0.00 (−0.28; 0.27)

0.00 (− 0.27; 0.28)

  Middle, secondary and higher education

82

0.45 (0.18; 0.72)

0.25 (−0.08; 0.59)

0.26 (−0.07; 0.59)

0.28 (− 0.06; 0.62)

 Paternal education

1118

p = 0.08

p = 0.26

p = 0.29

p = 0.21

  Not educated

536

Ref

Ref

Ref

Ref

  Primary school

210

0.03 (−0.20; 0.26)

0.03 (− 0.19; 0.25)

0.02 (− 0.20; 0.23)

0.04 (− 0.18; 0.26)

  Middle, secondary and higher education

372

0.23 (0.02; 0.45)

0.17 (−0.03; 0.37)

0.16 (− 0.04; 0.35)

0.18 (− 0.02; 0.38)

 Household SES quintiles

1096

p = 0.04

p = 0.31

p = 0.43

p = 0.22

  Poorest

219

Ref

Ref

Ref

Ref

  Poor

221

−0.01 (−0.32; 0.30)

−0.02 (− 0.33; 0.29)

−0.02 (− 0.32; 0.28)

0.01 (− 0.29; 0.31)

  Middle

220

0.20 (− 0.09; 0.49)

0.09 (− 0.19; 0.37)

0.07 (− 0.21; 0.35)

0.13 (− 0.15; 0.41)

  Wealthy

216

0.35 (0.05; 0.65)

0.22 (− 0.09; 0.53)

0.19 (− 0.12; 0.51)

0.28 (− 0.02; 0.58)

  Wealthiest

220

0.27 (− 0.02; 0.56)

0.00 (− 0.32; 0.32)

−0.01 (− 0.34; 0.31)

0.06 (− 0.25; 0.36)

 Maternal occupation

1114

p = 0.02

   

  Not working

374

Ref

   

  Non-agriculture related work

157

−0.24 (−0.42; − 0.06)

   

  Agriculture related work

583

−0.24 (− 0.53; 0.05)

   

 Cash-aid from BISP

1125

p = 0.24

   

  No

762

Ref

   

  Yes

363

0.10 (−0.07; 0.26)

   
  1. 1Unadjusted coefficients from univariable linear regression, 2Adjusted coefficients from multivariable linear regression (adjusted for infant age, sex of the infant, maternal height, maternal education, paternal education, household socio-economic status), 3Reference