Literature DB >> 17310856

Supermarket sales data: feasibility and applicability in population food and nutrition monitoring.

Sandar Tin Tin1, Cliona Ni Mhurchu, Chris Bullen.   

Abstract

Population food and nutrition monitoring plays a critical role in understanding suboptimal nutrition at the population level, yet current monitoring methods such as national surveys are not practical to undertake on a continuous basis. Supermarket sales data potentially address this gap by providing detailed, timely, and inexpensive monitoring data for informing policies and anticipating trends. This paper reviews 22 studies that used supermarket sales data to examine food purchasing patterns. Despite some methodological limitations, feasibility studies showed promising results. The potential and limitations of using supermarket sales data to supplement food and nutrition monitoring methods are discussed.

Mesh:

Year:  2007        PMID: 17310856     DOI: 10.1111/j.1753-4887.2007.tb00264.x

Source DB:  PubMed          Journal:  Nutr Rev        ISSN: 0029-6643            Impact factor:   7.110


  11 in total

1.  Linking supermarket sales data to nutritional information: an informatics feasibility study.

Authors:  Kristina M Brinkerhoff; Philip J Brewster; Edward B Clark; Kristine C Jordan; Mollie R Cummins; John F Hurdle
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  A novel application of point-of-sales grocery transaction data to enhance community nutrition monitoring.

Authors:  Hiroshi Mamiya; Erica E M Moodie; David L Buckeridge
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

Review 3.  Global Changes in Food Supply and the Obesity Epidemic.

Authors:  Emilie H Zobel; Tine W Hansen; Peter Rossing; Bernt Johan von Scholten
Journal:  Curr Obes Rep       Date:  2016-12

4.  Characterization and Correction of Bias Due to Nonparticipation and the Degree of Loyalty in Large-Scale Finnish Loyalty Card Data on Grocery Purchases: Cohort Study.

Authors:  Anna-Leena Vuorinen; Maijaliisa Erkkola; Mikael Fogelholm; Satu Kinnunen; Hannu Saarijärvi; Liisa Uusitalo; Turkka Näppilä; Jaakko Nevalainen
Journal:  J Med Internet Res       Date:  2020-07-15       Impact factor: 5.428

5.  Large-scale loyalty card data in health research.

Authors:  Jaakko Nevalainen; Maijaliisa Erkkola; Hannu Saarijärvi; Turkka Näppilä; Mikael Fogelholm
Journal:  Digit Health       Date:  2018-11-29

Review 6.  How has big data contributed to obesity research? A review of the literature.

Authors:  Kate A Timmins; Mark A Green; Duncan Radley; Michelle A Morris; Jamie Pearce
Journal:  Int J Obes (Lond)       Date:  2018-07-18       Impact factor: 5.095

7.  Can Healthy Checkout Counters Improve Food Purchases? Two Real-Life Experiments in Dutch Supermarkets.

Authors:  Marlijn Huitink; Maartje P Poelman; Jacob C Seidell; Lothar D J Kuijper; Trynke Hoekstsra; Coosje Dijkstra
Journal:  Int J Environ Res Public Health       Date:  2020-11-19       Impact factor: 3.390

Review 8.  A Systematic Review of Economic Evaluations of Health-Promoting Food Retail-Based Interventions.

Authors:  Huong Ngoc Quynh Tran; Emma McMahon; Marj Moodie; Jaithri Ananthapavan
Journal:  Int J Environ Res Public Health       Date:  2021-02-02       Impact factor: 3.390

9.  Estimating Dietary Intake from Grocery Shopping Data-A Comparative Validation of Relevant Indicators in Switzerland.

Authors:  Jing Wu; Klaus Fuchs; Jie Lian; Mirella Lindsay Haldimann; Tanja Schneider; Simon Mayer; Jaewook Byun; Roland Gassmann; Christine Brombach; Elgar Fleisch
Journal:  Nutrients       Date:  2021-12-29       Impact factor: 5.717

10.  Using Supermarket Loyalty Card Data to Provide Personalised Advice to Help Reduce Saturated Fat Intake among Patients with Hypercholesterolemia: A Qualitative Study of Participants' Experiences.

Authors:  Charlotte L Lee; Paul N Aveyard; Susan A Jebb; Carmen Piernas
Journal:  Nutrients       Date:  2021-03-31       Impact factor: 5.717

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