Methodology for developing a nutrient and food pattern equivalents database for selected branded foods in the USDA National Household Food Acquisition and Purchase Survey-1

2022 ◽  
Vol 105 ◽  
pp. 104167 ◽  
Author(s):  
Shanthy A. Bowman
Keyword(s):  
Food Acquisition ◽  
Food Pattern ◽  
Household Food

scholarly journals Validation of a Home Food Environment Instrument Assessing Household Food Patterning and Quality

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3930
Author(s):  
Katherine J. Barrett ◽  
Sarah K. Hibbs-Shipp ◽  
Savannah Hobbs ◽  
Richard E. Boles ◽  
Susan L. Johnson ◽  
...  
Keyword(s):  
Data Collection ◽  
Dietary Intake ◽  
Healthy Eating ◽  
Food Environment ◽  
Healthy Eating Index ◽  
Food Acquisition ◽  
Home Food Environment ◽  
Food Items ◽  
Household Food ◽  
Home Food

The home food environment (HFE) is associated with dietary intake; yet measuring HFE quality often requires burdensome collection of detailed inventories. This project evaluated the capacity of the Home Inventory to Describe Eating and Activity, version 2 (Home-IDEA2) to capture HFE quality by measuring the presence or absence of household foods. Validity was tested using a modified application of the Healthy Eating Index-2010 (HEI). Comparative data were drawn from the National Food Acquisition and Purchase Survey (FoodAPS) Food-at-Home Public Use File. HEI scores were calculated for 4202 households in FoodAPS using Home-IDEA2 inventories and full reported inventories. Paired t-tests compared: (1) estimated vs. total edible grams (EEG; TEG); (2) limited vs. all reported foods; and (3) EEG + limited foods vs. TEG + all reported foods. Sensitivity and range of scores were compared. Mean HEI scores for Home-IDEA2 were higher (p < 0.003) than FoodAPS: (1) 51.6 ± 16.1 vs. 49.6 ± 18.1 (food amounts); (2) 53.5 ± 15.8 vs. 49.8 ± 15.4 (food items); (3) 55.5 ± 15.7 vs. 49.8 ± 15.4 (full instrument); differences were small. Scores demonstrated comparable sensitivity and range. The study found that the Home-IDEA2 can capture HFE quality adequately with low data collection burden.

The use of itemized register tapes for analysis of household food acquisition patterns prompted by children

1990 ◽  
Vol 90 (4) ◽  
pp. 559-562
Author(s):  
Kathleen M. DeWalt ◽  
Sandra D’Angelo ◽  
Molly McFadden ◽  
Frederick W. Danner ◽  
Melody Noland ◽  
...  
Keyword(s):  
Food Acquisition ◽  
Household Food

scholarly journals FAKTOR YANG BERHUBUNGAN DENGAN SKOR POLA PANGAN HARAPAN PADA RUMAH TANGGA SASARAN DI DESA BATUKANDIK, NUSA PENIDA

2019 ◽  
Vol 4 (1) ◽  
pp. 71
Author(s):  
Anak Agung Sagung Putri Kusuma Dewi ◽  
Ni Wayan Arya Utami
Keyword(s):  
Family Income ◽  
Dietary Diversity ◽  
Family Members ◽  
Income Level ◽  
Land Ownership ◽  
Poor Household ◽  
Food Pattern ◽  
Ownership Status ◽  
Household Food ◽  
Food Expenditure

Expected Food Pattern (EFP) is composition of dietary diversity based on energy contribution on the main food.  It was known that EFP score of Bali Province year 2014 was remaining low (58,2%). Low EFP score was mainly found in poor household and the largest number of poor households in year 2013 were found in di Batukandik village of Nusa Penida Island. This study aimed to describe household EFP score, number of family members, mother’s knowledge about nutrition, family income level, household food expenditure, diet prohibition and land ownership status with EFP score. This quantitative study was conducted with cross sectional design. Samples were 64 poor household which selected by cluster random sampling. Data was analyzed univariate and bivariate using chi square test. Result showed that mother’s knowledge about nutrition (OR= 4,21; 95%CI OR=1,20-15,78; p=0.01), family income level (OR= 10; 95%CI OR= 1,99-63,72; p=0.00) and household food expenditure (OR= 6,28; 95%CI OR= 1,47-37,12, p=0.00) were significantly associated with PPH score. Meanwhile number of family members, diet prohibition land ownership status was not significantly associated with EFP score. Keywords: Expected Food Pattern, nutrition, family income, food expenditure

scholarly journals Consumption pattern and hope food pattern in Salahutu District, Maluku Tengah Regency

2021 ◽  
Vol 883 (1) ◽  
pp. 012055
Author(s):  
N R Timisela ◽  
W Girsang ◽  
L Tupamahu
Keyword(s):  
Food Consumption ◽  
Simple Random Sampling ◽  
Total Sample ◽  
Consumption Patterns ◽  
Coefficient Of Determination ◽  
Consumption Pattern ◽  
Food Pattern ◽  
Household Food ◽  
Household Food Consumption

Abstract This study aims to analyze food consumption patterns, the hope food patterns, and the factors that influence household food consumption patterns. The research was located in Suli and Liang Villages, Central Maluku Regency. The location was determined purposively based on the 2017 Central Maluku Regency Food Security and Vulnerability Atlas (FSVA) results included in Priority 1 and 2 as Food Vulnerable Areas. The research sample was determined by simple random sampling using the Slovin formula with a total sample size of 87 households, 44 (Suli Village) and 43 (Liang Village). The research data were analyzed qualitatively and quantitatively. The results showed that the pattern of household food consumption in the two villages was lower than the ideal weight of food consumption, namely 870 g/capita/day, respectively 783.83 (Liang Village) and 709.81 (Suli Village). The score of the hope food pattern in Liang Village is 75, and Suli Village is 76.9. Analysis of the factors that influence household food consumption patterns in the two villages with a coefficient of determination of 51.56 (Liang Village) and 59.19 (Suli Village). The results of the t-test show that the factors that influence the pattern of household food consumption in Liang Village include income (X 1), the number of family members (X 2), and the education of housewife (X 4), while the factors that influence food consumption patterns Households in Suli Village include income (X 1), age of the housewife (X 3) and education of housewife (X 4).

The National Household Food Acquisition and Purchase Survey: Innovations and Research Insights

2019 ◽  
Vol 41 (2) ◽  
pp. 215-234 ◽  
Author(s):  
Elina T Page ◽  
Elizabeth Larimore ◽  
John A Kirlin ◽  
Mark Denbaly
Keyword(s):  
Food Acquisition ◽  
Household Food

Food security and alternative food acquisition among US low-income households: results from the National Food Acquisition and Purchasing Survey (FoodAPS)

2020 ◽  
pp. 1-9
Author(s):  
Mayra Crespo-Bellido ◽  
Stephanie Grutzmacher ◽  
Ellen Smit
Keyword(s):  
Food Security ◽  
Low Income ◽  
Alternative Food ◽  
Food Sources ◽  
Food Acquisition ◽  
Household Food ◽  
Household Food Production ◽  
Acquisition Strategies ◽  
The Usa ◽  
Low Income Households

Abstract Objective: To determine the characteristics of US low-income households that use alternative food acquisition strategies and to examine the association between food security and alternative food acquisition. Design: Cross-sectional analysis. The ten-item Adult Food Security Survey Module was used to determine food security status. Self-reported data were used to determine food acquisition from community food sources, social networks and household food production. Setting: The National Food Acquisition and Purchasing Survey (FoodAPS), 2012. Participants: The sample consisted of 2534 low-income households (≤185 % of the federal poverty line) in the USA. Results: Households using alternative food acquisition strategies were more likely to have a primary respondent who was non-Hispanic White, born in the USA, and female, and more likely to live in a rural area, have higher income and own a home than households not using alternative acquisition strategies. Very low food security was positively associated with the use of community food sources (aOR = 2·26 (95 % CI 1·15, 4·46)). There was no association between food security and food acquisition from social networks or household food production. Conclusions: Use of alternative food acquisition strategies varied by specific demographic characteristics among low-income households, suggesting opportunities for outreach and promotion of alternative acquisition strategies in specific subpopulations in the USA. Future research should examine whether quantity and quality of food received from these sources are associated with food security.

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