PMID- 30394251
OWN - NLM
STAT- MEDLINE
DCOM- 20200323
LR  - 20230613
IS  - 1475-2727 (Electronic)
IS  - 1368-9800 (Print)
IS  - 1368-9800 (Linking)
VI  - 22
IP  - 2
DP  - 2019 Feb
TI  - Getting the food list 'right': an approach for the development of 
      nutrition-relevant food lists for household consumption and expenditure surveys.
PG  - 246-256
LID - 10.1017/S1368980018002847 [doi]
AB  - OBJECTIVE: The present paper aimed to demonstrate how 24 h dietary recall data 
      can be used to generate a nutrition-relevant food list for household consumption 
      and expenditure surveys (HCES) using contribution analysis and stepwise 
      regression. DESIGN: The analysis used data from the 2011/12 Bangladesh Integrated 
      Household Survey (BIHS), which is nationally representative of rural Bangladesh. 
      A total of 325 primary sampling units (PSU=village) were surveyed through a 
      two-stage stratified sampling approach. The household food consumption module 
      used for the analysis consisted of a 24 h open dietary recall in which the female 
      member in charge of preparing and serving food was asked about foods and 
      quantities consumed by the whole household. SETTING: Rural 
      Bangladesh.ParticipantsA total of 6500 households. RESULTS: The original 24 h 
      open dietary recall data in the BIHS were comprised of 288 individual foods that 
      were grouped into ninety-four similar food groups. Contribution analysis and 
      stepwise regression were based on nutrients of public health interest in 
      Bangladesh (energy, protein, fat, Fe, Zn, vitamin A). These steps revealed that a 
      list of fifty-nine food items captures approximately 90 % of the total intake and 
      up to 90 % of the between-person variation for the key nutrients based on the 
      diets of the population. CONCLUSIONS: The study illustrates how 24 h open dietary 
      recall data can be used to generate a country-specific nutrition-relevant food 
      list that could be integrated into an HCES consumption module to enable more 
      accurate and comprehensive household-level food and nutrient analyses.
FAU - Bell, Winnie
AU  - Bell W
AD  - 1Tufts University Friedman School of Nutrition Science and Policy,150 Harrison 
      Avenue,Boston,MA02111,USA.
FAU - Coates, Jennifer C
AU  - Coates JC
AD  - 1Tufts University Friedman School of Nutrition Science and Policy,150 Harrison 
      Avenue,Boston,MA02111,USA.
FAU - Rogers, Beatrice L
AU  - Rogers BL
AD  - 1Tufts University Friedman School of Nutrition Science and Policy,150 Harrison 
      Avenue,Boston,MA02111,USA.
FAU - Bermudez, Odilia I
AU  - Bermudez OI
AD  - 2Tufts University School of Medicine,Boston,MA,USA.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20181105
PL  - England
TA  - Public Health Nutr
JT  - Public health nutrition
JID - 9808463
SB  - IM
MH  - Adult
MH  - Bangladesh
MH  - Diet/economics/*statistics & numerical data
MH  - Diet Records
MH  - Family Characteristics
MH  - Female
MH  - Food/*economics
MH  - Health Expenditures/*statistics & numerical data
MH  - Humans
MH  - Mental Recall
MH  - Middle Aged
MH  - Nutrition Surveys/*methods
MH  - Rural Population/statistics & numerical data
PMC - PMC6390398
OTO - NOTNLM
OT  - Bangladesh
OT  - Dietary data
OT  - Food consumption data
OT  - Food list development
OT  - Household consumption surveys
EDAT- 2018/11/06 06:00
MHDA- 2020/03/24 06:00
PMCR- 2019/02/01
CRDT- 2018/11/06 06:00
PHST- 2018/11/06 06:00 [pubmed]
PHST- 2020/03/24 06:00 [medline]
PHST- 2018/11/06 06:00 [entrez]
PHST- 2019/02/01 00:00 [pmc-release]
AID - S1368980018002847 [pii]
AID - 00284 [pii]
AID - 10.1017/S1368980018002847 [doi]
PST - ppublish
SO  - Public Health Nutr. 2019 Feb;22(2):246-256. doi: 10.1017/S1368980018002847. Epub 
      2018 Nov 5.