Red and Red Processed Meat Consumption Behaviors in Scottish Adults.

Cristina Stewart, Ricki Runions, Geraldine McNeill, Fiona Comrie, Alana McDonald, Lindsay M Jaacks
Author Information
  1. Cristina Stewart: Global Academy of Agriculture and Food Systems, University of Edinburgh, Midlothian, United Kingdom.
  2. Ricki Runions: Global Academy of Agriculture and Food Systems, University of Edinburgh, Midlothian, United Kingdom.
  3. Geraldine McNeill: Global Academy of Agriculture and Food Systems, University of Edinburgh, Midlothian, United Kingdom.
  4. Fiona Comrie: Food Standards Scotland, Aberdeen, United Kingdom.
  5. Alana McDonald: Food Standards Scotland, Aberdeen, United Kingdom.
  6. Lindsay M Jaacks: Global Academy of Agriculture and Food Systems, University of Edinburgh, Midlothian, United Kingdom.

Abstract

In 2021, 32% of adult meat consumers in Scotland exceeded the 70 g/d recommended limit of red and red processed meat (RPM) intake. We analyzed RPM consumption behaviors among adults in the Scottish Health Survey (2021) to better understand this consumer group. Consumers were categorized into low, medium, and high consumers, and overall, mean intake was 66 g/d. Males and individuals living in the most deprived areas were most likely to be high consumers (45% compared with 30% for males compared with females, respectively, and 44% compared with 32% for those in the most compared with least deprived areas, respectively). Dinners accounted for the majority of intake among high (55%) and medium (52%) consumers, whereas low consumers distributed intake between lunch (40%) and dinner (48%). Across all groups, consumption was highest on Sundays, and majority of RPM was purchased at supermarkets. Beef dishes and sandwiches were primary contributors among high and medium consumers. These insights can inform the design of effective strategies and policies aligned with meat reduction targets. For instance, strategies focusing on modifying traditional meat-centric dishes and sandwiches could be impactful.

Keywords

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Word Cloud

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