TABLE 2.

Distributions of the categories for Global Diet Quality Scores¹

GDQS Submetric	Categories2	Low	Medium	High	Very high3
Positive	Citrus fruits	83.9	15.2	0.9	NA
	Cruciferous vegetables	95.3	4.7	0.1	NA
	Dark green leafy vegetables	43.1	54.1	2.9	NA
	Deep orange fruits	89.1	10.1	0.8	NA
	Deep orange vegetables	93.7	5.9	0.4	NA
	Deep orange tubers4	100	0.0	0.0	NA
	Eggs	54.0	41.9	4.1	NA
	Fish and shellfish	93.2	6.4	0.5	NA
	Whole grains	26.7	26.2	47.1	NA
	Low fat dairy4	100	0.0	0.0	NA
	Legumes	3.0	59.8	37.3	NA
	Liquid oils	4.0	1.1	94.9	NA
	Nuts and seeds	19.8	54.1	26.1	NA
	Other fruits	22.3	48.6	29.1	NA
	Other vegetables	0.9	72.3	26.7	NA
	Poultry and game meat	65.2	33.5	1.3	NA
Negative	Processed meat4	100	0.0	0.0	NA
	Red meat5	80.5	19.4	0.1	NA
	High fat dairy6	10.9	7.8	71.1	10.1
	Refined grains and baked goods	0.0	0.0	100	NA
	Juice7	100	0.0	0.0	NA
	Sugar-sweetened beverages	89.8	9.1	1.0	NA
	Sweets and ice cream	13.7	35.1	51.3	NA
	White roots and tubers	94.4	5.4	0.2	NA
	Purchased deep fried foods	28.4	54.4	17.3	NA

¹The values are in percentages. GDQS, Global Diet Quality Score; NA, not applicable.

²The categorization of the intake levels was done based on the application of Nurses’ Health Study's FFQ standard portion sizes to Prime Diet Quality Score frequency groups. We doubled the cutoffs for refined grains and added a fourth scoring category for high fat dairy (equivalent to 3 + servings). Further adjustments were made to the cutoffs based on the analysis conducted for the operationalization paper included in this supplement (22).

³The “very high” category only applied to the high fat dairy category.

⁴Deep orange tubers, low fat dairy, and processed meat consumption is uncommon in this population; therefore, all were assumed to have low levels of consumption.

⁵Red meat is nonlinearly scored (0, 1, 0 points).

⁶Points for high fat dairy categories were nonlinear.

⁷Due to high sugar contents in juice sold in India, we categorized all juice consumption under sugar-sweetened beverages.