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Longitudinal trends in produce purchasing behavior: a descriptive study of transaction level data from loyalty card households.
Fernandez, Isabel Diana; Johnson, Brent A; Wixom, Nellie; Kautz, Amber; Janciuras, Joanne; Prevost, Steve; Luo, Jiebo; Ramchandran, Rajeev S.
Afiliación
  • Fernandez ID; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA. diana_fernandez@urmc.rochester.edu.
  • Johnson BA; Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Wixom N; School of Nursing, University of Rochester Medical Center, Rochester, NY, USA.
  • Kautz A; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Janciuras J; Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Prevost S; Customer Insights, Grocery Store Collaborator, Rochester, NY, USA.
  • Luo J; Department of Computer Science, University of Rochester, Rochester, NY, USA.
  • Ramchandran RS; Department of Ophthalmology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Nutr J ; 21(1): 67, 2022 11 08.
Article en En | MEDLINE | ID: mdl-36348423
BACKGROUND: Household food purchases (HFP) are in the pathway between the community food environment and the foods available in households for consumption. As such, HFP data have emerged as alternatives to monitor population dietary trends over-time. In this paper, we investigate the use of loyalty card datasets as unexplored sources of continuously collected HFP data to describe temporal trends in household produce purchases. METHODS: We partnered with a grocery store chain to obtain a loyalty card database with grocery transactions by household from January 2016-October 2018. We included households in an urban county with complete observations for head of household age group, household income group, and family size. Data were summarized as weighted averages (95% CI) of percent produce purchased out of all foods purchased by household per month. We modeled seasonal and linear trends in the proportion of produce purchases by age group and income while accounting for repeated observations per household using generalized estimating equations. RESULTS: There are 290,098 households in the database (88% of all county households). At baseline, the smallest and largest percent produce purchases are observed among the youngest and lowest income (12.2%, CI 11.1; 13.3) and the oldest and highest income households (19.3, CI 18.9; 19.6); respectively. The seasonal variations are consistent in all age and income groups with an April-June peak gradually descending until December. However, the average linear change in percent produce purchased per household per year varies by age and income being the steepest among the youngest households at each income level (from 1.42%, CI 0.98;1.8 to 0.69%, CI 0.42;0.95) while the oldest households experience almost no annual change. CONCLUSIONS: We explored the potential of a collaboration with a food retailer to use continuously collected loyalty card data for public health nutrition purposes. Our findings suggest a trend towards a healthier pattern in long-term food purchases and household food availability among the youngest households that may lessen the population chronic disease burden if sustained. Understanding the foods available for consumption within households allows public health advocates to develop and evaluate policies and programs promoting foods and nutrients along the life course.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Composición Familiar / Comportamiento del Consumidor Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nutr J Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Composición Familiar / Comportamiento del Consumidor Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nutr J Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido