PMID- 23193773
OWN - NLM
STAT- MEDLINE
DCOM- 20121220
LR  - 20191027
IS  - 0379-5721 (Print)
IS  - 0379-5721 (Linking)
VI  - 33
IP  - 3 Suppl
DP  - 2012 Sep
TI  - Using reference nutrient density goals with food balance sheet data to identify 
      likely micronutrient deficits for fortification planning in countries in the 
      Western Pacific region.
PG  - S214-20
AB  - BACKGROUND: Collection of nationwide food consumption data at the individual 
      level is the preferred option for planning fortification programs. However, such 
      data are seldom collected in low-income countries. In contrast, Food Balance 
      Sheets (FBS), published annually for approximately 180 countries, may provide a 
      source of national data for program planning. OBJECTIVE: To explore the use of 
      micronutrient densities from FBS data to identify likely deficits for eight 
      micronutrients in national diets. METHODS: Micronutrient densities in the daily 
      available food supply per capita were calculated from the micronutrient contents 
      of 95 food commodities in 17 Western Pacific Region countries. Densities were 
      compared with reference nutrient density goals developed to ensure that at least 
      95% of individuals, irrespective of life-stage group, are likely to have adequate 
      intakes. RESULTS: Of the eight micronutrients, Cambodia and Korea D.P.R. had 
      likely deficits for six; China, Fiji, Kiribati, Korea Republic, Lao P.D.R., 
      Philippines, Solomon Islands, Vanuatu, and Viet Nam had likely deficits for five; 
      Brunei Darussalam, Malaysia, Mongolia, New Zealand, and Papua New Guinea had 
      likely deficits for four; and New Caledonia had likely deficits for three. The 
      most frequent deficits were for iron, zinc, and calcium (all countries), followed 
      by vitamin B2 and vitamin A (n = 13), vitamin B1 (n = 2), and vitamin B12 (n = 
      1). CONCLUSIONS: The nutrient density approach could be applied to FBS data for 
      ranking countries according to likely micronutrient deficits, but it provides no 
      information on distribution of nutrient supply for fortification program 
      planning. The approach described here could be applied to data from Household 
      Consumption and Expenditures Surveys (HCES) to characterize households at 
      greatest risk.
FAU - Gibson, Rosalind S
AU  - Gibson RS
AD  - Department of Human Nutrition, University of Otago, Union St., PO Box 56, Dunedin 
      9015, New Zealand. Rosalind.Gibson@Stonebow.Otago.AC.NZ
FAU - Cavalli-Sforza, Tommaso
AU  - Cavalli-Sforza T
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Food Nutr Bull
JT  - Food and nutrition bulletin
JID - 7906418
RN  - 0 (Micronutrients)
SB  - IM
MH  - Adolescent
MH  - Asia, Southeastern
MH  - Child
MH  - Child, Preschool
MH  - Diet
MH  - *Diet Surveys
MH  - *Energy Intake
MH  - *Energy Metabolism
MH  - Family Characteristics
MH  - Feeding Behavior
MH  - Female
MH  - Food Supply
MH  - *Food, Fortified
MH  - Humans
MH  - Male
MH  - Micronutrients/administration & dosage/*deficiency
MH  - Nutrition Policy
MH  - Pacific Islands
MH  - Poverty
MH  - Young Adult
EDAT- 2012/12/01 06:00
MHDA- 2012/12/21 06:00
CRDT- 2012/12/01 06:00
PHST- 2012/12/01 06:00 [entrez]
PHST- 2012/12/01 06:00 [pubmed]
PHST- 2012/12/21 06:00 [medline]
AID - 10.1177/15648265120333s210 [doi]
PST - ppublish
SO  - Food Nutr Bull. 2012 Sep;33(3 Suppl):S214-20. doi: 10.1177/15648265120333s210.