Table 3.

The association between helmet use and body mass index (BMI) in motorcycle accidents and sites of mandibular fractures.

Variables	Symphysis n = 76		Parasymphysis n = 87		Body n = 31		Angle and Ramus n = 66		Condyle and Head n = 128
Age	32.2 ± 10.9		32.2 ± 12.2		39.0 ± 16.4		35.5 ± 17.1		33.6 ± 13.4
Gender (M/F)	29/47		30/57		7/24		24/42		60/68
BMI classification
Obese	4(5.3)		8(9.2)		0(0.0)		3(4.5)		5(3.9)
Overweight	16(21.1)		19(21.8)		9(29.0)		14(21.2)		22(17.2)
Underweight	7(9.2)		5(5.7)		2(6.5)		3(4.5)		11(8.6)
Normal	45(59.2)		53(60.9)		20(64.5)		43(65.2)		83(64.8)
Unknown	4(5.3)		2(2.3)		0(0.0)		3(4.5)		7(5.5)
Helmet use
Yes	58(76.3)		71(81.6)		29(93.5)		50(75.8)		112(87.5)
No	13(17.1)		14(16.1)		2(6.5)		13(19.7)		14(10.9)
Unknown	5(6.6)		2(2.3)		0(0.0)		3(4.5)		2(1.6)
Variables	Symphysis		Parasymphysis		Body		Angle and Ramus		Condyle and Head
	OR (95% CI)	p	OR (95% CI)	p	OR (95% CI)		OR (95% CI)	p	OR (95% CI)	p
BMI classification						BMI classification
Obese	1.2(0.38–3.91)	0.739	1.9(0.72–5.21)	0.192	-	Obese	1.2(0.38–3.91)	0.739	1.9(0.72–5.21)	0.192
Overweight	1.3(0.65–2.51)	0.486	1.2(0.66–2.31)	0.502	1.0(0.41–2.35)	Overweight	1.3(0.65–2.51)	0.486	1.2(0.66–2.31)	0.502
Underweight	1.5(0.56–4.05)	0.418	1.0(0.34–2.70)	0.933	1.3(0.28–6.38)	Underweight	1.5(0.56–4.05)	0.418	1.0(0.34–2.70)	0.933
Helmet use						Helmet use
Yes	0.6(0.29–1.22)	0.158	0.9(0.45–1.84)	0.803	3.9(0.87–17.26)	Yes	0.6(0.29–1.22)	0.158	0.9(0.45–1.84)	0.803

n = number of fractures.