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Showing 32 instruments. If these results are unexpected, you may wish to consult the instructions.

Ambrosini GL

Dietary factors:
  • vitamin A (beta-carotene and retinol)
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 43
Validation studies:
Ambrosini et al, 2001
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Reference tool(s):
  • Diet records
n = 76
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Ashton L: The Fruit And Vegetable VAriety index (FAVVA)

Dietary factors:
  • fruits and vegetables
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 35
Validation studies:
Ashton et al, 2019
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Reference tool(s):
  • FFQ
  • biologic
n = 99
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia (New South Wales)

Bell LK: Toddler Dietary Questionnaire (TDQ)

Dietary factors:
  • fruits and vegetables
  • dairy
  • high-fat foods
  • high-sugar foods
  • high-salt foods
  • sweetened beverages
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 19
Validation studies:
Bell et al, 2014
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Reference tool(s):
  • 54-item FFQ
n = 111
Study population:
Age: Children 12 to 36 months
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Collins B: Immune-modulating nutrients FFQ (IMN-FFQ)

Dietary factors:
  • Other (immune-modulating nutrients)
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 21
Validation studies:
Collins et al, 2021
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Reference tool(s):
  • diet history
n = 106
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Mostly Caucasian
Country/location: Australia

Condo D: Iodine-Specific Food Frequency Questionnaire (I-FFQ)

Dietary factors:
  • iodine
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 44
Validation studies:
Condo et al, 2015
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Reference tool(s):
  • food record
  • biomarkers - urinary iodine
  • thyroid function markers
n = 96
Study population:
Age: Adults 18 to 41
Gender: Female
Race/ethnicity: Not specified
Country/location: Australia (Adelaide)

Cook A: Five-item questionnaire for vegetable

Dietary factors:
  • vegetables
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 5
Validation studies:
Cook et al, 2015
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Reference tool(s):
  • FFQ
n = 109
Study population:
Age: Adults 18 to 39
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Cook A: Single Question (SQ) for Fruit

Dietary factors:
  • fruits
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 1
Validation studies:
Cook et al, 2015
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Reference tool(s):
  • FFQ
n = 109
Study population:
Age: Adults 18 to 39
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Cook A: Single Question (SQ) for Vegetable

Dietary factors:
  • vegetables
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 1
Validation studies:
Cook et al, 2015
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Reference tool(s):
  • FFQ
n = 109
Study population:
Age: Adults 18 to 39
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Devenish G: Study of Mothers' and Infants' Life Events Food Frequency Questionnaire (SMILE-FFQ)

Dietary factors:
  • sugars
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 89
Validation studies:
Devenish et al, 2017
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Reference tool(s):
  • recalls
n = 97
Study population:
Age: Adults (parents with a child between 18 and 30 months)
Gender: Predominantly female
Race/ethnicity: Not specified
Country/location: Australia

Dickinson KM: Marine Omega-3 FFQ (MFQ)

Dietary factors:
  • omega-3 fatty acids
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 9
Validation studies:
Dickinson et al, 2015
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Reference tool(s):
  • FFQ
n = 108
Study population:
Age: Adults (mean 67)
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Flood VM

Dietary factors:
  • fruits and vegetables
  • lean meat
  • processed meat
  • take-away food
  • snack foods
  • potato crisps and confectionery
  • soft drinks/cordials
  • juice
  • milk
  • water
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 17
Validation studies:
Flood et al, 2014
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Reference tool(s):
  • 3-day food records
n = 77
Study population:
Age: Children 2 to 5
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia (Sydney)

Gadowski A.M: Australian Short Dietary Screener (Aus-SDS)

Dietary factors:
  • vegetables
  • fruits
  • legumes and beans
  • cereals
  • protein sources and dairy sources
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 6
Validation studies:
Gadowski et al, 2020
Reference tool(s):
  • 24-hour recall
n = 100
Study population:
Age: Adults 70 years old or older
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Grady A: Short Food Survey–Early Childhood Education and Care (SFS-ECEC)

Dietary factors:
  • food group intake and food choices over the past 1 month
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 47
Validation studies:
Grady et al, 2020
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Reference tool(s):
  • Direct observation based upon Dietary Observation for Child Care (DOCC)
n = 195
Study population:
Age: 2-5 years of age (adapted specifically for use in child care settings)
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Hendrie GA

Dietary factors:
  • fruits and vegetables
  • milk type
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 3
Validation studies:
Hendrie et al, 2013
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Reference tool(s):
  • Two 24-hour dietary recalls
n = 4,487
Study population:
Age: Children 2 to 16
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Hendrie GA: Short Food Survey

Dietary factors:
  • fruits and vegetables
  • breads and cereals
  • meat and alternatives
  • dairy
  • beverages
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 38
Validation studies:
Hendrie et al, 2014
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Reference tool(s):
  • Three 24-hour recalls
n = 63
Study population:
Age: Children 4 to 11
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia (Adelaide)

Hickling S: Folate Intake Tool (FIT)

Dietary factors:
  • folate
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 19
Validation studies:
Hickling et al, 2005
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Reference tool(s):
  • Biomarker - serum folate concentration
n = 568
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Kent K: Kent & Charlton Flavonoid FFQ

Dietary factors:
  • flavonoids
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 93
Validation studies:
Kent et al, 2017
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Reference tool(s):
  • 4-day food record
n = 42
Study population:
Age: Older adults
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Magarey A: Children's Dietary Questionnaire

Dietary factors:
  • fruits and vegetables
  • fat from dairy
  • sweetened beverages
  • non-core foods
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 28
Validation studies:
Magarey et al, 2009
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Reference tool(s):
  • Checklist
n = 706
Study population:
Age: Children
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Mason B: Scored Sodium Questionnaire (SSQ)

Dietary factors:
  • sodium
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 10
Validation studies:
Mason et al, 2014
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Reference tool(s):
  • 24-hour urine sodium (biologic)
  • 1-day food record
  • Diet history
n = 34
Study population:
Age: Adults 26 to 97
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Mina K

Dietary factors:
  • fish
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 50
Validation studies:
Mina et al, 2007
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Reference tool(s):
  • Biomarker - blood Omega 3 fatty acids concentrations
n = 91
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Multiple
Country/location: Australia
Other references:

Mukherjee M

Dietary factors:
  • multiple factors
  • fat
  • vitamin A
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 21
Validation studies:
Mukherjee et al, 2021
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Reference tool(s):
  • diet history
n = 112
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Mostly Caucasian
Country/location: Australia

Mukherjee M: Anti-inflammatory micronutrient FFQ

Dietary factors:
  • other (anti-inflammatory micronutrients)
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 21
Validation studies:
Mukherjee et al, 2021
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Reference tool(s):
  • diet history
n = 112
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Mostly Caucasian
Country/location: Australia

Pestitschek M

Dietary factors:
  • selenium
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 15
Validation studies:
Pestitschek et al, 2013
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Reference tool(s):
  • Whole blood selenium
n = 212
Study population:
Age: Adults and children 15 to 87
Gender: Both
Race/ethnicity: Not specified
Country/location: Austria (Vienna)

Reeves MM: Fat and Fibre Behaviour Questionnaire (FFBQ)

Dietary factors:
  • fat
  • fiber
Instrument description:
Questionnaire format: Behavioral Questionnaire
Number of questions/food items: 20
Validation studies:
Reeves et al, 2015
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Reference tool(s):
  • FFQ
n = 420
Study population:
Age: Adults > 30
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia (Queensland)
Whelan et al, 2016
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Reference tool(s):
  • 24-hour recall
n = 90
Study population:
Age: Adults 18 to 75
Gender: Female
Race/ethnicity: Mostly Caucasian
Country/location: Australia (Brisbane, Queensland)

Roach LA: Polyunsaturated Food Frequency Questionnaire (PUFA FFQ)

Dietary factors:
  • polyunsaturated fatty acids
Instrument description:
Questionnaire format: FFQ
Validation studies:
Roach et al, 2020
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Reference tool(s):
  • 24-hour recall
n = 32
Study population:
Age: Average of 73 years old
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Rudolph E: Caffeine assessment tool (CAT)

Dietary factors:
  • caffeine
Instrument description:
Questionnaire format: FFQ
Validation studies:
Rudolph et al, 2012
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Reference tool(s):
  • 3-day food record
  • Caffeine saliva concentrations
n = 51
Study population:
Age: Adults 21 to 65
Gender: Both
Race/ethnicity: Not specified
Country/location: Austria

Samman S: Zinc-Specific Food Frequency Questionnaire

Dietary factors:
  • zinc
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 74
Validation studies:
Samman et al, 2010
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Reference tool(s):
  • 7-day weighed food diary
n = 22
Study population:
Age: Adults
Gender: Female
Race/ethnicity: Not specified
Country/location: Australia

Sullivan BL

Dietary factors:
  • polyunsaturated fatty acids (PUFA)
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 28
Validation studies:
Sullivan et al, 2008
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Reference tool(s):
  • 3-day weighed food records
n = 53
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Tan LM

Dietary factors:
  • iodine
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 49
Validation studies:
Tan et al, 2013
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Reference tool(s):
  • 24-hour diet recalls
  • biomarker - urinary iodine
n = 84
Study population:
Age: Adults 60 to 95
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia (New South Wales)

Wong A: Scored salt questionnaire (SSQ)

Dietary factors:
  • sodium
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 9
Validation studies:
Wong et al, 2020
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Reference tool(s):
  • biomarkers (24-hour urinary sodium excretion)
n = 75
Study population:
Age: Adults (18-67)
Gender: Both
Race/ethnicity: Mostly Caucasian (validated in patients with autosomal dominant polycystic kidney disease (ADPKD))
Country/location: Australia

Zhang AC: Clinical Omega-3 Dietary Survey (CODS)

Dietary factors:
  • omega-3 fatty acids
Instrument description:
Questionnaire format: FFQ
Number of questions/food items: 35
Validation studies:
Zhang et al, 2019
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Reference tool(s):
  • FFQ
  • biologic
n = 40
Study population:
Age: Adults
Gender: Both
Race/ethnicity: Not specified
Country/location: Australia

Zhou SJ: Iron-specific checklist

Dietary factors:
  • iron
Instrument description:
Questionnaire format: Checklist
Number of questions/food items: 65
Validation studies:
Zhou et al, 2005
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Reference tool(s):
  • Diet history
n = 54
Study population:
Age: Adults
Gender: Female
Race/ethnicity: Not specified
Country/location: Australia
Last Updated: 09 Feb, 2023