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. Author manuscript; available in PMC: 2015 Mar 10.
Published in final edited form as: Annu Rev Nutr. 2013 Apr 29;33:349–371. doi: 10.1146/annurev-nutr-072610-145203

Table 2.

PhenXa Toolkit recommendationsb

Measure Features Validity information Limitations
5-Factor
 Screenerc
Frequency of intake for specific
 food items for past month
Age- and sex-specific median
 portion sizes are assigned
Indirect measurement error model
 versus multiple 24 HRs for 260
 men and 222 women in the
 OPENsd study
  • ■Estimation equations based on US National Health Interview Survey

  • ■“…estimates may be less useful for populations with more ethnic diets, including Asian and possibly Latino populations”c

Calcium
 intake
 (mg/d)
Frequencies of 20 items used in
 weighted regression equations
Deattenuated r = 0.59 for men
 and 0.44 for women
  • ■ Regression weights and selected foods likely to differ in different populations

Dairy food
 (servings/d)
Frequency of milk and cheese
 intake summed and used in
 regression equations
Deattenuated r = 0.64 for men
 and women
  • ■ Does not include yogurt

  • ■ Does not capture milk in coffee or tea

Fiber intake
 (g/d)
Frequencies of 20 items used in
 weighted regression equations
Deattenuated r = 0.52 for men
 and 0.54 for women
Fruits and
 vegetables
 (servings/d)
Pyramid portions of 9 fruit and
 vegetable items calculated and
 then estimated in regression
 equations
Deattenuated r = 0.58 for men
 and 0.73 for women
Added sugars
 (tsp/d)
Median tsp of sugar summed
 from 4 items and then estimated
 with regression equations
Deattenuated r = 0.68 for men
 and 0.66 for women
%Energy
 from fat
Questionnaire with frequencies
 for 15 food items + 2 use
 questions. Amount from added
 solid fats is calculated and then
 included with other frequencies
 in weighted regression equations
r = 0.52 to 0.77 among men and
 0.36 to 0.59 among women in the
 BCCe study. Positive predictive
 value for classification <30%
 energy from fat ranged from 0.15
 for women in Georgia to 0.71
 for women in Rhode Island
  • ■ Does not include oils, snack chips, most meats, fried chicken, pizza, etc.

  • ■ Regression equations likely to be highly population specific

  • ■ “If accurate assessment of diet… is essential, a more detailed instrument… may be warranted”e

Caffeine
 intake
Frequencies of 13 items,
 including coffee, tea, and soft
 drinks; with small, medium, and
 large portion options
Total dietary
 intake
24HR using the ASA24f
  • ■ Misclassification from day-to-day variability likely limits use in complex interactions

a

PhenX, Phenotypes and eXposures; collaborative funded by the National Human Genome Research Institute.

b

Recommendations for food intake only.

d

OPEN, Observing Protein and Energy Nutrition study.

e

BCC, Behavioral Change Consortium (105).

f

ASA24, Automated Self-Administered 24-Hour Recall; http://riskfactor.cancer.gov/tools/instruments/asa24/.

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