TY - JOUR
T1 - The protein gap: Increasing protein intake in the diet of community-dwelling older adults - A simulation study
AU - Verwijs, Marije H.
AU - De Van Der Schueren, Marian A.E.
AU - Ocké, Marga C.
AU - Ditewig, Jacco
AU - Linschooten, Joost O.
AU - Roodenburg, Annet J.C.
AU - De Groot, Lisette C.P.G.M.
N1 - Publisher Copyright:
© The Authors 2021.
PY - 2022/2
Y1 - 2022/2
N2 - 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 protein intake of Dutch community-dwelling older adults. Design: The Dutch National Food Consumption Survey - Older Adults 2010-2012 was used for scenario modelling. Dietary intake was estimated for 727 adults aged 70+ 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 <1.0g/kg BW/day (n=391). Habitual protein intake of all older adults was estimated, adjusting for effects of within-person variation in the 2-days intake data. Results: Mean protein intake of the total population increased from 1.0 to 1.2 g/kg BW/day (scenarios 1 and 2) and to 1.3 g/kg BW/day (scenario 3). The percentage of participants with intakes of ≥1.0 g/kg BW/day 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 counseling.
AB - 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 protein intake of Dutch community-dwelling older adults. Design: The Dutch National Food Consumption Survey - Older Adults 2010-2012 was used for scenario modelling. Dietary intake was estimated for 727 adults aged 70+ 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 <1.0g/kg BW/day (n=391). Habitual protein intake of all older adults was estimated, adjusting for effects of within-person variation in the 2-days intake data. Results: Mean protein intake of the total population increased from 1.0 to 1.2 g/kg BW/day (scenarios 1 and 2) and to 1.3 g/kg BW/day (scenario 3). The percentage of participants with intakes of ≥1.0 g/kg BW/day 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 counseling.
KW - Food consumption survey
KW - Older adults
KW - Protein intake
KW - Simulation model
U2 - 10.1017/S1368980021004134
DO - 10.1017/S1368980021004134
M3 - Article
AN - SCOPUS:85116905084
SN - 1368-9800
VL - 25
SP - 248
EP - 256
JO - Public Health Nutrition
JF - Public Health Nutrition
IS - 2
ER -