Protocol - Dairy Food Intake (Daily Servings)
Description
These questions from the Five-Factor Screener may be useful to assess an individual’s approximate intake of several foods. These particular questions address dairy product intake. No portion-size questions are asked. This screener does not attempt to assess total diet.
Specific Instructions
None
Availability
Protocol
These questions are about the different kinds of foods you ate or drank during the PAST MONTH, that is, the past 30 days. When answering, please include meals and snacks eaten at home, at work or school, in restaurants, and anyplace else. *Read text if the respondent needs further clarification about the information requested.
1. During the past month . . . How often did you have MILK, either to drink or on cereal? Do NOT include small amounts of milk in coffee or tea. *Read if necessary: Do NOT include cream or soy milk. INCLUDE skim, no-fat, low-fat, whole milk, buttermilk, and lactose-free milk. Also INCLUDE chocolate or other flavored milks.
00 [ ] Never
01 [ ] 1-3 times last month
02 [ ] 1-2 times per week
03 [ ] 3-4 times per week
04 [ ] 5-6 times per week
05 [ ] 1 time per day
06 [ ] 2 times per day
07 [ ] 3 times per day
08 [ ] 4 times per day
09 [ ] 5 or more times per day
97 [ ] Refused
99 [ ] Don’t know
2. During the past month . . . How often did you eat any kind of CHEESE? Include cheese as a snack; cheese on burgers, sandwiches, or pizza; and cheese mixed into such foods as lasagna, enchiladas, or casseroles. *Read if necessary: Do NOT count cream cheese.
00 [ ] Never
01 [ ] 1-3 times last month
02 [ ] 1-2 times per week
03 [ ] 3-4 times per week
04 [ ] 5-6 times per week
05 [ ] 1 time per day
06 [ ] 2 times per day
07 [ ] 3 times per day
08 [ ] 4 times per day
09 [ ] 5 or more times per day
97 [ ] Refused
99 [ ] Don’t know
Scoring Procedures The following procedures are used to convert an individual’s responses to an estimate of that individual’s number of dairy servings: 1. The frequency reported categorically on the questionnaire is converted to the number of times dairy products were consumed per day, as shown in Table 1. In general, the midpoint of the frequency range was used.
Table 1. Conversion of Frequency Response to Times per Day | |
Frequency Response | Times per Day |
Never | 0 |
1-3 times per month | 0.067 |
1-2 times per week | 0.214 |
3-4 times per week | 0.5 |
5-6 times per week | 0.786 |
1 time per day | 1 |
2 times per day | 2 |
3 times per day | 3 |
4 times per day | 4 |
5 or more times per day | 5 |
2. The age- and gender-specific portion sizes (Table 2) for each food are multiplied by the frequency calculated in Step 1.
Table 2. Median Portion Size in Pyramid Servings per Mention by Gender and Age for Dairy | |||||||
Food Group | Age Group | ||||||
18-27 | 28-37 | 38-47 | 48-57 | 58-67 | 68-77 | 78-99 | |
Men | |||||||
Milk (P1) | 1.250500 | 1.083000 | 1.100400 | 1.000000 | 0.916667 | 0.833333 | 0.750000 |
Cheese (P2) | 0.741000 | 0.641333 | 0.667000 | 0.600000 | 0.575000 | 0.499000 | 0.370000 |
Women | |||||||
Milk (P1) | 1.000000 | 1.000000 | 0.999000 | 0.874000 | 0.750000 | 0.718750 | 0.750000 |
Cheese (P2) | 0.517000 | 0.470000 | 0.494000 | 0.494000 | 0.470000 | 0.379000 | 0.494000 |
3. Regression coefficients (Table 3) are applied according to the equation below.
Table 3. Estimated Regression Coefficients for Sum of Foods Predicting Servings of Dairy, by Gender | ||
Parameter | Men | Women |
Intercept (b0) | 0.417414 | 0.385301 |
b1 | 0.831739 | 0.782852 |
E (Dairy1/2) = b0 + b1 (NFG1P1 + NFG2P2)1/2
For men: Square root of Daily Pyramid Servings of Dairy = 0.417414 + 0.831739 (Square root of (Daily Frequency * Gender/Age Specific Portion Size per Mention for Milk + Daily Frequency * Gender/Age Specific Portion Size per Mention for Cheese))
For women: Square root of Daily Pyramid Servings of Dairy = 0.385301 + 0.782852 (Square root of (Daily Frequency * Gender/Age Specific Portion Size per Mention for Milk + Daily Frequency * Gender/Age Specific Portion Size per Mention for Cheese))
Personnel and Training Required
The interviewer must be trained to conduct personal interviews with individuals from the general population. The interviewer must be trained and found to be competent (i.e., tested by an expert) at the completion of personal interviews. The interviewer should be trained to prompt respondents further if a "don’t know" response is provided. These questions can be administered using multiple modes (e.g., paper-and-pencil and computer-assisted interviews).
Equipment Needs
Although the source instrument was developed to be administered by computer, the PhenX Working Group acknowledges that these questions can be administered in a noncomputerized format (i.e., paper-and-pencil instrument). Computer software is necessary to develop computer-assisted instruments. The interviewer will require a laptop or handheld computer to administer a computer-assisted questionnaire.
Requirements
Requirement Category | Required |
---|---|
Major equipment | No |
Specialized training | No |
Specialized requirements for biospecimen collection | No |
Average time of greater than 15 minutes in an unaffected individual | No |
Mode of Administration
Interviewer-administered questionnaire
Lifestage
Adult, Senior
Participants
Ages 18 years or older
Selection Rationale
Vetted against several other dairy intake questions, these questions from the National Cancer Institute (NCI) Five-Factor Screener were selected because they are low burden and have been validated against the 24-hour dietary recall.
Language
Chinese, English, Spanish
Standards
Standard | Name | ID | Source |
---|---|---|---|
Logical Observation Identifiers Names and Codes (LOINC) | PhenX - dairy food protocol | 62281-1 | LOINC |
Human Phenotype Ontology | Abnormality of calcium homeostasis | HP:0004364 | HPO |
caDSR Form | PhenX PX050401 - Dairy Food Intake Daily Servings | 5850473 | caDSR Form |
Derived Variables
None
Process and Review
The Expert Review Panel #1 reviewed the measures in the Anthropometrics, Diabetes, Physical Activity and Physical Fitness, and Nutrition and Dietary Supplements domains.
Guidance from the ERP includes:
No significant changes to measure
Back-compatible: no changes to Data Dictionary
Previous version in Toolkit archive (link)
Protocol Name from Source
National Health Interview Survey (NHIS) Diet and Nutrition Questionnaire, 2005
Source
Centers for Disease Control and Prevention, National Center for Health Statistics. (2005). National Health Interview Survey (NHIS): Diet and nutrition questionnaire. Questions NAC.020_00.00 (question 1) and NAC.138_00.00 (question 2).
National Cancer Institute. (2005). Five-factor screener: National Health Interview Survey (NHIS) diet and nutrition. NAC.010-NAC.138.
General References
National Cancer Institute. (2005). Five-factor screener: National Health Interview Survey (NHIS) validation results. Retrieved from https://www.phenxtoolkit.org/domains/view/50000#tab4content
Protocol ID
50401
Variables
Export VariablesVariable Name | Variable ID | Variable Description | dbGaP Mapping | |
---|---|---|---|---|
PX050401_Cheese_Frequency | ||||
PX050401020000 | During the past month... How often did you more | Variable Mapping | ||
PX050401_Milk_Frequency | ||||
PX050401010000 | During the past month... How often did you more | Variable Mapping |
Measure Name
Dairy Food Intake (Daily Servings)
Release Date
October 30, 2009
Definition
A measure to estimate an individual’s daily average intake of dairy products over the last 30 days as measured in cup equivalents of milk
Purpose
Dairy products are an essential part of an individual’s diet. Calcium-rich dairy products have many health benefits, including bone health.
Keywords
Nutrition and Dietary Supplements, calcium, vitamin, mineral, NHIS
Measure Protocols
Protocol ID | Protocol Name |
---|---|
50401 | Dairy Food Intake (Daily Servings) |
Publications
Lv, N., et al. (2021) Problem-solving therapy–induced amygdala engagement mediates lifestyle behavior change in obesity with comorbid depression: a randomized proof-of-mechanism trial. American Journal of Clinical Nutrition. 2021 September; 114(6): 2060-2073. doi: 10.1093/ajcn/nqab280