The protein gap-increasing protein intake in the diet of community-dwelling older adults: a simulation study

Public Health Nutr. 2022 Feb;25(2):248-256. doi: 10.1017/S1368980021004134. Epub 2021 Oct 4.

Abstract

Objective: Approximately 50 % of Dutch community-dwelling older adults does not meet protein recommendations. This study assesses the effect of replacing low protein foods with protein-rich alternatives on the protein intake of Dutch community-dwelling older adults.

Design: The Dutch National Food Consumption Survey-Older Adults 2010-2012 (DNFCS-OA) was used for scenario modelling. Dietary intake was estimated based on two 24-h recalls. Commonly consumed products were replaced by comparable products rich in protein (scenario 1), foods enriched in protein (scenario 2) and a combination of both (scenario 3). Replacement scenarios were confined to participants whose dietary protein intake was < 1·0 g/kg BW/d (n 391). Habitual protein intake of all older adults was estimated, adjusting for effects of within-person variation in the 2-d intake data.

Setting: A simulation study based on the DNFCS-OA.

Participants: 727 Dutch community-dwelling older adults aged 70+.

Results: Mean protein intake of the total population increased from 1·0 to 1·2 g/kg BW/d (scenarios 1 and 2) and to 1·3 g/kg BW/d (scenario 3). The percentage of participants with intakes of ≥ 1·0 g/kg BW/d increased from 47·1 % to 91·4 %, 90·2 % and 94·6 %, respectively, in scenarios 1, 2 and 3. The largest increases in protein intake were due to replacements in food groups: yoghurt, cream desserts and pudding, potatoes, vegetables and legumes and non-alcoholic beverages and milk in scenario 1 and bread; yoghurt, cream desserts and pudding and soups in scenario 2.

Conclusions: This simulation model shows that replacing low protein foods with comparable alternatives rich in protein can increase the protein intake of Dutch community-dwelling older adults considerably. Results can be used as a basis for nutritional counselling.

Keywords: Food consumption survey; Older adults; Protein intake; Simulation model.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Diet
  • Dietary Proteins*
  • Eating
  • Energy Intake
  • Humans
  • Independent Living*
  • Vegetables

Substances

  • Dietary Proteins