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The protein gap—increasing protein intake in the diet of community-dwelling older adults

A simulation study

Bibliographic Data

ID15097206
AuthorsMarije H Verwijs (0000-0002-3137-8757, HAN University of Applied Sciences), M A E de van der Schueren (0000-0001-5693-0811, HAN University of Applied Sciences), Marga C Ocké (0000-0003-1299-6135, National Institute for Public Health and the Environment), Jacco Ditewig (HAN University of Applied Sciences), Joost O Linschooten (0000-0001-6832-3701, HAS green academy), Annet JC Roodenburg (HAS green academy), Lisette C P G M de Groot (0000-0003-2778-2789, Wageningen University & Research, corresponding author)
Year2021
Pages1-9
Publication date2021-10-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980021004134
OpenAlexW3201793923
LanguageEN
References cited26

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 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

Consumption (sociology · Dietary protein · Food consumption · Food intake · Milk products · Milk protein · Population · Muscle metabolism and nutrition · Nutrition and Health in Aging · Nutritional Studies and Diet

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