This document summarizes the challenges of analyzing 24-hour dietary recall data collected in Cambodia as part of a randomized control trial investigating the impact of homestead food production models on nutrition. Some key challenges discussed include finding nutritional information for local Cambodian foods, dealing with unknown nutrient values, improving the reliability of recall methods, and assessing the validity of dietary intake data through biomarkers. Potential solutions explored involve using regional food composition databases, consulting nutrition experts, standardizing assumptions, and applying validated multi-pass 24-hour recall techniques.
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Nutrition and Health: Overcoming the challenges: analyzing Cambodian 24-hour dietary recalls
1. Overcoming the challenges:
analyzing Cambodian 24-hour dietary recalls
Presented by Vashti Verbowski (MSc student at UBC)
Presented at the International Food Security Dialogue 2014:
“Enhancing Food Production, Gender Equity and Nutritional
Security in a Changing World”
Sponsored By: Hosted By:
2. • The Fish on Farms project is being jointly conducted by the University of
British Columbia (UBC) and Helen Keller International (HKI), with
technical assistance from World Fish, in Prey Veng Province, Cambodia.
• This randomized control trial investigates an integrated Homestead Food
Production models in relation to poverty, gender empowerment, and food
and nutrition security, particularly among women and children.
• This is the first project known to rigorously measure the effectiveness of
different models of Homestead Food Production at reducing
undernutrition using biochemical and anthropometric measurements.
3. • University of British Columbia Ministry of Health, Cambodia
• Dr. Tim Green, Associate Professor, Human Nutrition Ministry of Planning, Cambodia
• Dr. Judy McLean, Assistant Professor, Human Nutrition
• Dr. Susan Barr, Professor, Human Nutrition
• Dr. Larry Lynd, Professor & Director, Collaboration for Outcomes Research & Evaluation
• Dr. Tony Farrell, Professor, Centre for Aquaculture and Environmental Research
• Dr. David Kitts, Professor, Food Science & Associate Dean of Research
• Dr. Ian Forster, Centre for Aquaculture and Environmental Research
• Jen Foley, Fish on Farms Program Coordinator
• Helen Keller International - Cambodia Graduate Students
• Dr. Zaman Talukder Kyly Whitfield (PhD, Nutrition)
• Mr. Hou Kroeun Crystal Karakochuk (PhD, Nutrition)
• Ms. Ly Sokhoing Vashti Verbowski (MSc, Nutrition)
• Field Research Team Pardis Lakzadeh (MSc, Public Health)
Jeff Tang (BSc, Science)
4. Outline
• 24-hour dietary recall review
• International nutrition research
• Research project overview
Background
Data collection
• Challenges encountered
Possible solutions
Helpful tools
• Summary
6. International nutrition research
• Food diversity: dietary diversity indices (Olney, 2009)
• Food availability: food balance sheets (Hop, 2003)
• Adherence: garden maintenance rates (Bushamuka, 2005)
• Current research lacking…
What do Cambodians
eat?
What do Cambodians
eat?
We need
24-hour recall data!
We need
24-hour recall data!
Evidence for food-
based strategies
Evidence for food-
based strategies
8. Research project overview: background
• Diet low in fat (FAO, 2009; Health Canada, 2006; Barba, 2008)
2382 kcal/capita/d
62.4g protein/capita/d (10.5% kcal) vs. 10-35% RDA
36.9g fat/capita/d (13.9% kcal) vs. 20-35% RDA
vs. 40-57g/d SEA-RDA
Potential to
improve nutrition
status
Potential to
improve nutrition
status
Aquaculture
(small fish ponds)
Aquaculture
(small fish ponds)
Homestead Food
Production (HFP)
Homestead Food
Production (HFP)
24-hour
dietary
recalls
24-hour
dietary
recalls
9. Research project overview: Fish on Farms
• 90 villages x 10 households each (n=900)
• Each village randomly assigned to:
a. Plant-based HFP
b. HFP + aquaculture (fish pond)
c. Control
• Outcomes
Food security & gender equality
Income generation
Dietary intake, blood, urine, & anthropometrics
10. Data collection: completed by HKI* staff
• 24HR data (woman & child)
Trained interviewers
Structured dietary recalls
Baseline & endline data
• Nutrient analysis: 6 fish species
Vitamin A?*HKI: Helen Keller International
13. Challenge #1: finding nutritional information
• Purchased ESHA
Uses latest USDA data
Includes Canadian Nutrient File
Errors minimized with quality control reviews
Contains ~55,000 foods
• Use local food composition data
www.FAO.org
Vietnamese
East Asia
14. 1. B ng thành ph n dinh d ngả ầ ưỡ
th c ph m Vi t Nam năm 2000ự ẩ ệ
1. Sheet nutrient composition
of food Vietnam in 2000
3. C s d li u thành ph n th cơ ở ữ ệ ầ ự
ph m M - USDA Food Compositionẩ ỹ
3. Databases U.S. Food ingredients –
USDA Food Composition Database,
Version 18, 2006…
Challenge #1: finding nutritional information
www.translate.google.com…
15. Challenge #2: dealing with unknowns
Estimate unknown nutrients: www.fishbase.org
Step 1: Classify Labeo rohita (carp or minnow)
Step 2: Search database for similar fish
Vitamin A?
17. Challenge #2: dealing with unknowns
Red ant egg
Rabutan leaves Sakura (crab)
Red ants
Frogs
18. Challenge #3: questionable reliability
Reliability: “we are producing the same estimates every time”
•Develop set of assumptions
Replace “water lily” with “kangkong” (no nutrition info)
•Use the 5-step multiple-pass 24-hour dietary recall for endline
1st
pass: quick list
2nd
pass: forgotten foods
3rd
pass: time & place
4th
pass: detailed description
5th
pass: final review idea: take pictures of labels
portion size & additions
snacks & beverages
food from previous day
sort chronologically
19. Challenge #4: assessing validity
Validity: “we are measuring what we intended to measure”
•Energy & fat intake: monitor height & weight
•Compare nutrient intakes against biomarkers
Iron: hemoglobin, ferritin
Vitamin A: retinol, carotenoids
Zinc: serum zinc
20. Summary of the challenges & solutions
• Finding nutritional information
Use local resources when possible
• Dealing with unknowns
Develop relationships with “experts”
Consider “road-blocks” beforehand
• Improving reliability
Develop a set of assumptions
Use validated techniques
• Improving validity
• Compare dietary intake data against biomarkers
21. References:
•Barba, C.V.C. & Cabrera, M.I.Z. (2008). Recommended Dietary Allowances harmonization in Southeast
Asia. Asia Pacific Journal of Clinical Nutrition, 17(S2): 405-408.
•Bushamuka, V.N., de Pee, S., Talukder, A., Kiess, L., Panagides, D., Taher, A., & Bloem, M. (2005).
Impact of a homestead gardening program on household food security and empowerment of women in
Bangladesh. Food and Nutrition Bulletin, 26(1), 17-25.
•FAO (2009). FAOSTAT: Cambodia. Retrieved from
http://faostat.fao.org/site/368/DesktopDefault.aspx?PageID=368#ancor
•FAO (1972). Food Composition Table for use in East Asia 1972. Retrieved from
http://www.fao.org/docrep/003/X6878E/X6878E00.htm
•FAO (2014). International Network of Food Data Systems (INFOODS). Retrieved from
http://www.fao.org/infoods/infoods/tables-and-databases/asia/en/
•FishBase (2014). Retrieved from http://fishbase.org/search.php
•Google Translate. Retrieved from http://translate.google.com/
•Health Canada (2006). Dietary Reference Intakes. Retrived from
http://www.hc-sc.gc.ca/fn-an/nutrition/reference/table/ref_macronutr_tbl-eng.php
•Hop, L.T. (2003). Animal Source Foods to Improve Micronutrient Nutrition and Human Function in
Developing Countries. Journal of Nutrition, 133(11:2), 4006S-4009S.
•Lee, R.D. & Nieman, D.C. (2012). Nutritional Assessment. Sixth edition. McGraw-Hill.
•National Institute of Statistics, Directorate General for Health, & Measure DHS. (2010). Cambodia
Demographic and Health Survey (CDHS) 2010. Phnom Penh, Cambodia & Calverton, Maryland, USA.
Retrieved from http://www.measuredhs.com/pubs/pdf/FR249/FR249.pdf
•Olney, D.K., Talukder, A., Iannotti, L.L., Ruel, M.T., & Quinn, V. (2009). Assessing impact and impact
pathways of a homestead food production program on household and child nutrition in Cambodia. Food
and Nutrition Bulletin, 30(4), 355-369.
•Vietnamese Food Composition Table (2007). Retrieved from
http://www.fao.org/fileadmin/templates/food_composition/documents/pdf/VTN_FCT_2007.pdf
* Photos from the Fish on Farms blog: http://fishonfarms.landfood.ubc.ca/topics/blog/
22. Acknowledgements
Thank you to my committee members & HKI:
Dr. Tim Green, Associate Professor, UBC LFS Human Nutrition
Dr. Judy McLean, Senior Instructor, UBC LFS Human Nutrition
Dr. Susan Barr, Professor, UBC LFS Human Nutrition
Dr. Larry Lynd, Associate Professor, UBC Pharmaceutical Sciences
Helen Keller International in Cambodia (Zaman Talukder et al.)
Sponsored By: Hosted By:
Notas do Editor
Inexpensive vs. duplicate food collections
More objective vs. FFQ and diet Hx (b/c not alter diet)
Less participant burden vs. food diary
Estimate population not for individuals
(-) omitted/forgotten foods; energy intake often underestimated (if drinks, sauces, dressings not reported) Multiple-pass method
*** multiple recalls can estimate nutrient intake of individuals
Cambodia: eating a lot diversity, but not much of it
Olney, 2009 (Cambodia): improve F+V diversity by +2.2 vs. -0.3 (control)
Hop, 2003 (VAC in Vietnam) increased fish production (popln data)
Bushamuka, 2005 (Bangladesh): maintain year-round (78% current), (50% >3yr ago) vs. (15% control)
Evidence for whether food based strategies are working… go beyond just production
Wasting (“acute”): may be caused by extremely low energy intake (i.e. famine), nutrient losses d/t infection (i.e. TB, diarrhea, AIDS)
Stunting (“chronic”): malnutrition in early childhood, including fetal development (d/t malnourished mother) lead to premature death (organs never fully develop)
Underweight: due to genetcs, metabolism, lack of food (poverty), illness (i.e. TB)
Anemia: may be due to nutrition, illness (malaria/hookworm), or hemoglobinopathies
Food Balance Sheets: do not account for distribution and wastage
- Account for food available (“food supply per capita”)
- Not account for food CONSUMED
SEA-RDA: South East Asian Recommended Dietary Allowances
- Energy: 2065-2115 kcal/d SEA-RDA
- Fat: 40-57g/d SEA-RDA
What I’ve shown:
Indicators for malnutrition
Diet actually lacking (obviously fat and maybe protein)
Explain why chose 24 hour recall: - #1: population assessment of fat & energy
- #2: nutrients (iron, vitamin A)
Cluster randomized design
UBC & Cambodian ethics approval
Women invited to participate (& kids)
Informed consent obtained
Highlight questions/challenges/“unknowns”
- What is a piece? How consistent is a piece from participant-to-participant (vs. using an actual household measure)
Highlight questions/challenges/“unknowns”
What is this?
which database to get this info?
ESHA:
~5,000 food from Canadian Nutrient File
~1700 sources of info (USDA data, manufacturer’s data, restaurant data)
Errors & missing values minimized with Quality Control Reviews conducted by Trained Research Staff high quality product
LOCAL:
- Because nutrients in food can vary by location/soil/climate/”diet”, chose to use local databases when possible
Which Database to use”
- CAN: frog legs, raw (or breaded and fried)… or Vietnamese
- CAN (raw): 73kcal, 14.4g prot, 0.3g fat,
- local, more representative of the region
Re-amalyze fish if possible… or estimate (solution):
Fishbase: type in “genus” and “species”… gives classification/names, environment/climate, size/weight/age, distribution (i.e. Cambodia/Bangladesh)
Helps to identify if small (eat whole) or large (eat flesh)
Labeo rohita: ray-finned fishes, carps, minnows
Vitamin A
RAE = Retinol Activity Equivalent
1 RAE = 1mcg retinol = 3.33 IU retinol
For preformed vitamin A, 1 RE = 1 RAE
Women need 2300IU, men need 3000IU
Challenge: Vague translations
Solution: Liaise with HKI staff; Cambodian contacts
Reliability = reproducibility (may not be accurate, but at least consistent, for making comparisons)
Tamarind juice spoon #1 = 9mL (≈ sugar cane juice)