Title: | The protein gap-increasing protein intake in the diet of community-dwelling older adults: a simulation study. |
Author(s): | Verwijs, M.H. ; Schueren, M.A.E. de van der ; Ocké, M.C. ; Ditewig, J. ; Linschooten, J.O ; Roodenburg, AJC ; Groot, L.C.P.G.M. de |
Publication year: | 2022 |
Source: | Public Health Nutrition, vol. 25, iss. 2, (2022), pp. 248-256 |
ISSN: | 1368-9800 |
DOI: | https://doi.org/10.1017/S1368980021004134 |
Annotation: | 1 februari 2022 |
Publication type: | Article / Letter to editor |
Please use this identifier to cite or link to this item : https://hdl.handle.net/20.500.12470/2789 ![]() |
|
Display more details |
|
Lectorate : | Voeding, Diëtetiek en Leefstijl |
Journal title : | Public Health Nutrition |
Volume : | vol. 25 |
Issue : | iss. 2 |
Page start : | p.248 |
Page end : | p.256 |
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.
|