Association of excessive mobile phone use during pregnancy with birth weight: an adjunct study in Kumamoto of Japan Environment and Children’s Study

Table 3 Association between predictor variables and birth weight

Predictor variables	Gestational age^a (N = 416)	Birth weight^b (N = 416)	Low birth weight (<2500 g)^c (N = 16)
	B (95%CI)	B (95%CI)	B (95%CI)
	31.55 (29.42~33.68)**	−6401.58 (−6943.38~−5859.78)**	−1198.61 (−2499.57~102.34)**
Birth weight	0.001 (0.001~0.002)**	–	–
Birth chest circumference	0.15 (0.06~0.25)**	112.25 (100.75~123.75)**	121.08 (75.95~166.22)**
Birth height	–	89.48 (78.90~100.07)**	–
Placental weight	−0.003 (−0.004~−0.002)**	0.60 (0.45~0.75)**	–
Maternal BMI before pregnancy	–	5.85 (1.67~10.03)**	–
Primiparity	−0.38 (−0.57~0.20)**
Infant sex	0.26 (0.07~0.44)**	–	–
Gestational age	–	27.09 (13.02~41.16)**	–
Mobile excessive use	–	−66.46 (−114.46~−18.46)**	–

** P < 0.01
^a R ² = 0.34, ANOVA P < 0.01. Predictor variables deleted during analysis: maternal age, birth height, maternal BMI before pregnancy, maternal age, birth head circumference, primiparity, maternal smoking, mobile excessive use, maternal complications, and obstetric labor complication
^b R ² = 0.85, ANOVA P < 0.01. Predictor variables deleted during analysis: maternal age, birth head circumference, primiparity, infant sex, maternal smoking, maternal complications, and obstetric labor complication
^c R ² = 0.70, ANOVA P < 0.001. Predictor variables deleted during analysis: maternal age, birth height, birth head circumference, placental weight, maternal BMI before pregnancy, primiparity, infant sex, gestational age, mobile excessive use, maternal smoking, maternal complications, and obstetric labor complication

ISSN: 1347-4715