Type and timing of ultra-processed foods consumption and its association with dietary intake and physical activity in women with obesity living in poverty

J Hum Nutr Diet. 2024 Jun;37(3):737-748. doi: 10.1111/jhn.13303. Epub 2024 Apr 1.

Abstract

Background: The present study aimed to investigate the type and timing of ultra-processed foods (UPF) consumption and its association with dietary intake (DI) and physical activity (PA) in women with obesity living in poverty.

Methods: A cross-sectional study was employed. Obesity was defined by at least two criteria (body mass index, waist circumference or % fat mass). Poverty was defined as the three lowest classes of the Brazilian Economic Classification Criterion. PA was measured with triaxial accelerometers and DI was assessed with three 24-h dietary recalls. Foods were categorised according to the NOVA classification, with UPF classified into five subgroups, as well as the timing of consumption into six meals.

Results: In total, 56 adult women were included. Overall energy intake was 1653.21 (503.22) kcal/day. UPF intake was 21.62% (11.94%) kcal/day, being higher at breakfast (4.91% kcal/day), afternoon snack (5.39% kcal/day) and dinner (5.01% kcal/day). Only UPF subgroup 4 (sandwich biscuits, sweets, or treats) showed a positive association with energy intake (β = 54.40 [27.6, 81.10] kcal/day) and a negative association with protein intake (β = -0.31% [-0.48%, -0.14%] kcal/day). UPF consumption in morning (β = -0.41% [-0.79%, -0.02%] kcal/day) and afternoon (β = -0.18% [-0.33%, -0.04%] kcal/day) snacks was associated with lower protein intake. Furthermore, lunchtime UPF consumption was positively associated with walking time (β = 0.16% [0.02%; 0.30%]) and steps/hour (β = 8.72 [1.50; 15.94] steps/h).

Conclusions: Women with obesity living in poverty consume more UPF during breakfast, afternoon snack and dinner. Physical activity is positively associated with UPF consumption at lunch. UPF, such as sandwich biscuits, sweets or treats, contribute to increasing energy intake and reducing protein intake.

Keywords: low income; obesity; physical activity; ultra‐processed foods.

MeSH terms

  • Adult
  • Body Mass Index
  • Brazil
  • Cross-Sectional Studies
  • Diet* / methods
  • Diet* / statistics & numerical data
  • Energy Intake*
  • Exercise*
  • Fast Foods* / statistics & numerical data
  • Feeding Behavior
  • Female
  • Food, Processed
  • Humans
  • Meals
  • Middle Aged
  • Obesity*
  • Poverty* / statistics & numerical data
  • Snacks
  • Time Factors
  • Waist Circumference