Inadequacy of nutrients intake among pregnant women in the Deep South of Thailand

BMC Public Health

Table 4 Final logistic regression analysis on significant factors of macronutrient inadequacy with two-thirds of RDA levels^a

	Macronutrients
	Carbohydrate		Protein		Fat		Calorie
	Adj. OR (95%CI)	p-value^b	Adj. OR (95%CI)	p-value^b	Adj. OR (95%CI)	p-value^b	Adj. OR (95%CI)	p-value^b
Age (years)		0.022		0.023		0.005		0.036
< 20	1.38 (0.49,3.89)		0.43 (0.22,0.83)*		0.40 (0.20,0.80)*		0.51 (0.24,1.12)
20-34	1		1		1		1
≥35	0.35 (0.16,0.75)**		0.64 (0.36,1.15)		0.41 (0.21,0.81)*		0.42 (0.20,0.87)*
Education		0.042		< 0.001		< 0.001		< 0.001
Primary school	2.97 (1.11,7.91)*		2.23 (1.09,4.55)*		3.28 (1.37,7.89)**		3.51 (1.40,8.78)**
Secondary school	1.38 (0.58,3.29)		0.94 (0.48,1.85)		0.19 (0.42,1.95)		1.16 (0.52,2.58)
Higher than secondary school	1		1		1		1
Gestational age (weeks)				0.023		0.034	-
< 14		-	1		1
≥14	-		0.46 (0.27,0.79)**		0.49 (0.25,0.98)*
Body mass index		0.052	-		-		-
< 18.5	0.45 (0.21,0.95)*
18.5-29.9	1
≥30.0	1.44 (0.62,3.36)
Weighted violence score	1.66 (1.14,2.42)**	0.006	1.38 (1.08,1.77)**	0.009	-		-

^a First model of logistic regression included age, education, religion, occupation, household income, gestational age at enrolment, number of family members and level of violence; ^b p-value by Likelihood Ratio Test; Adj. OR: Adjusted Odds Ratio; *p value < 0.05; ** p value <0.01

ISSN: 1471-2458