Characterizing trends in fruit and vegetable intake in the USA by self-report and by supply-and-disappearance data: 2001-2014
- PMID: 28929985
- PMCID: PMC10261347
- DOI: 10.1017/S1368980017002385
Characterizing trends in fruit and vegetable intake in the USA by self-report and by supply-and-disappearance data: 2001-2014
Abstract
Objective: To examine the comparability of fruit and vegetable (F&V) intake data in the USA from 2001 to 2014 between data acquired from two national data collection programmes.
Design: Cross-sectional analysis. Linear regression models estimated trends in daily per capita intake of total F&V. Pooled differences in intake of individual F&V (n 109) were examined by processing form (fresh, frozen, canned, dried and juice).
Setting: What We Eat in America (WWEIA, 2001-2014) and Loss-Adjusted Food Availability data series (LAFA, 2001-2014).
Results: No temporal trends were observed in daily per capita intake of total F&V from 2001 to 2014 using WWEIA and LAFA. Modest differences between WWEIA and LAFA were observed in mean pooled intake of most individual F&V.
Conclusions: WWEIA and LAFA produced similar estimates of F&V intake. However, WWEIA may be best suited for monitoring intake at the national level because it allows for the identification of individual F&V in foods with multiple ingredients, and it is structured for sub-population analysis and covariate control. LAFA does retain advantages for other research protocols, specifically by providing the only nationally representative estimates of food losses at various points in the food system, which makes it useful for examining the adequacy of the food supply at the agricultural, retail and consumer levels.
Keywords: Fruits; Loss-Adjusted Food Availability; Vegetables; What We Eat in America.
Figures






Similar articles
-
Individual and food environmental factors: association with diet.Public Health Nutr. 2018 Oct;21(15):2782-2792. doi: 10.1017/S1368980018001623. Epub 2018 Jul 6. Public Health Nutr. 2018. PMID: 29976270 Free PMC article.
-
Predictors of fruit and vegetable intake in young adulthood.J Acad Nutr Diet. 2012 Aug;112(8):1216-22. doi: 10.1016/j.jand.2012.03.035. Epub 2012 Jun 13. J Acad Nutr Diet. 2012. PMID: 22698924 Free PMC article.
-
Fruit and vegetable intakes, sources and contribution to total diet in very young children (1-4 years): the Irish National Pre-School Nutrition Survey.Br J Nutr. 2016 Jun;115(12):2196-202. doi: 10.1017/S0007114516001422. Epub 2016 Apr 22. Br J Nutr. 2016. PMID: 27102717
-
The introduction of new food retail opportunities in lower-income communities and the impact on fruit and vegetable intake: a systematic review.Transl Behav Med. 2019 Oct 1;9(5):837-846. doi: 10.1093/tbm/ibz094. Transl Behav Med. 2019. PMID: 31570930 Free PMC article.
-
Meat, fruit, and vegetable consumption in sub-Saharan Africa: a systematic review and meta-regression analysis.Nutr Rev. 2021 May 12;79(6):651-692. doi: 10.1093/nutrit/nuaa032. Nutr Rev. 2021. PMID: 32556305
Cited by
-
Agricultural Capacity to Increase the Production of Select Fruits and Vegetables in the US: A Geospatial Modeling Analysis.Int J Environ Res Public Health. 2017 Sep 23;14(10):1106. doi: 10.3390/ijerph14101106. Int J Environ Res Public Health. 2017. PMID: 28946618 Free PMC article.
-
Foodprint 2.0: A computational simulation model that estimates the agricultural resource requirements of diet patterns.PLoS One. 2024 Sep 4;19(9):e0306097. doi: 10.1371/journal.pone.0306097. eCollection 2024. PLoS One. 2024. PMID: 39231169 Free PMC article.
-
Self-Reported Health Indicators in the US Army: Longitudinal Analysis From a Population Surveillance System, 2014‒2018.Am J Public Health. 2021 Nov;111(11):2064-2074. doi: 10.2105/AJPH.2021.306456. Epub 2021 Sep 9. Am J Public Health. 2021. PMID: 34499537 Free PMC article.
-
Fruit and Vegetable Intake and Mortality: Results From 2 Prospective Cohort Studies of US Men and Women and a Meta-Analysis of 26 Cohort Studies.Circulation. 2021 Apr 27;143(17):1642-1654. doi: 10.1161/CIRCULATIONAHA.120.048996. Epub 2021 Mar 1. Circulation. 2021. PMID: 33641343 Free PMC article.
-
Increasing obesity odds among foreign-born New Yorkers are not explained by eating out, age at arrival, or duration of residence: results from NYC HANES 2004 and 2013/2014.BMC Public Health. 2021 Jul 26;21(1):1453. doi: 10.1186/s12889-021-11351-1. BMC Public Health. 2021. PMID: 34304740 Free PMC article.
References
-
- US Department of Health and Human Services, Centers for Disease Control and Prevention (2017) About the National Health and Nutrition Examination Survey. https://www.cdc.gov/nchs/nhanes.htm (accessed June 2017).
-
- US Department of Agriculture, Economic Research Service (2017) Loss-Adjusted Food Availability (LAFA) data series documentation. https://www.ers.usda.gov/data-products/food-availability-per-capita-data... (accessed February 2017).
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources