An Obesity Dietary Quality Index Predicts Abdominal Obesity in Women: Potential Opportunity for New Prevention and Treatment Paradigms

Table 3

Development of abdominal obesity over 12 years in 288 healthy women in the Framingham Offspring-Spouse Study according to dietary quality¹.

		Obesity-Specific Nutritional Risk Score^3
	Higher		Lower
	Dietary Quality		Dietary Quality
	Tertile 1	Tertile 2	Tertile 3
	n = 96	n = 96	n = 96
Abdominally obese				Overall
				Incidence
$n$ (%)	47 (49)	47 (49)	55 (57.3)	149 (51.7)
Odds ratio (95% CI)				$P$ for Trend^3
Age-adjusted	1	1.20 (0.67, 2.16)	1.86 (1.01, 3.41)	0.044
Multivariate-adjusted^4	1	1.23 (0.68, 2.24)	1.87 (1.01, 3.47)	0.048

¹Abdominal obesity defined as waist circumference >88 cm.
²The risk score was calculated from the consumption of 11 nutrients (protein, carbohydrate, fiber, calcium, alcohol, total fat, polyunsaturated fat, monounsaturated fat, saturated fat, energy density, and total energy), which were ranked for each woman in the sample.
³The $P$-value for trend was determined using the tertile groups of the Obesity-Specific Nutritional Risk Score in a continuous form. Significance testing $P<.05$.
⁴Multiple logistic regression model adjusted for age, smoking, physical activity, and menopause.