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Development and validation of a short food questionnaire to screen for low protein intake in community-dwelling older adults: The Protein Screener 55+ (Pro55+)
- Source :
- Wijnhoven, H A H, Elstgeest, L E M, de Vet, H C W, Nicolaou, M, Snijder, M B & Visser, M 2018, ' Development and validation of a short food questionnaire to screen for low protein intake in community-dwelling older adults : The Protein Screener 55+ (Pro 55+ ) ', PLoS ONE, vol. 13, no. 5, e0196406 . https://doi.org/10.1371/journal.pone.0196406, PLoS ONE, Vol 13, Iss 5, p e0196406 (2018), PLoS ONE, 13(5):e0196406. Public Library of Science, PLoS ONE, PLOS ONE
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
Abstract
- In old age, sufficient protein intake is important to preserve muscle mass and function. Around 50% of older adults (65+ y) consumes 1.0 g/kg adjusted body weight (BW)/day (d). There is no rapid method available to screen for low protein intake in old age. Therefore, we aimed to develop and validate a short food questionnaire to screen for low protein intake in community-dwelling older adults. We used data of 1348 older men and women (56–101 y) of the LASA study (the Netherlands) to develop the questionnaire and data of 563 older men and women (55–71 y) of the HELIUS study (the Netherlands) for external validation. In both samples, protein intake was measured by the 238-item semi-quantitative HELIUS food frequency questionnaire (FFQ). Multivariable logistic regression analysis was used to predict protein intake 1.0 g/kg adjusted BW/d (based on the HELIUS FFQ). Candidate predictor variables were FFQ questions on frequency and amount of intake of specific foods. In both samples, 30% had a protein intake 1.0 g/kg adjusted BW/d. Our final model included adjusted body weight and 10 questions on the consumption (amount on average day or frequency in 4 weeks) of: slices of bread (number); glasses of milk (number); meat with warm meal (portion size); cheese (amount and frequency); dairy products (like yoghurt) (frequency); egg(s) (frequency); pasta/noodles (frequency); fish (frequency); and nuts/peanuts (frequency). The area under the receiver operating characteristic curve (AUC) was 0.889 (95% CI 0.870–0.907). The calibration slope was 1.03 (optimal slope 1.00). At a cut-off of 0.8 g/kg adjusted BW/d, the AUC was 0.916 (96% CI 0.897–0.936). Applying the regression equation to the HELIUS sample, the AUC was 0.856 (95% CI 0.824–0.888) and the calibration slope 0.92. Regression coefficients were therefore subsequently shrunken by a linear factor 0.92. To conclude, the short food questionnaire (Pro55+) can be used to validly screen for protein intake 1.0 g/kg adjusted BW/d in community-dwelling older adults. An online version can be found at www.proteinscreener.nl. External validation in other countries is recommended.
- Subjects :
- Questionnaires
Male
Gerontology
0301 basic medicine
Low protein
Physiology
030309 nutrition & dietetics
Muscle Proteins
lcsh:Medicine
Critical Care and Intensive Care Medicine
Logistic regression
Biochemistry
Eating
Elderly
Mathematical and Statistical Techniques
0302 clinical medicine
Animal Products
Protein Deficiency
Surveys and Questionnaires
Medicine and Health Sciences
Mass Screening
Medicine
030212 general & internal medicine
lcsh:Science
Netherlands
Aged, 80 and over
2. Zero hunger
0303 health sciences
Meal
Nutrition and Dietetics
Multidisciplinary
biology
Age Factors
food and beverages
Agriculture
Regression analysis
Bread
Middle Aged
Physiological Parameters
Research Design
Physical Sciences
Female
Dietary Proteins
Independent Living
Statistics (Mathematics)
Research Article
Meat
030209 endocrinology & metabolism
Research and Analysis Methods
Body weight
Diet Surveys
Helius
03 medical and health sciences
Animal science
Linear regression
Humans
Statistical Methods
Nutrition
Aged
Survey Research
Models, Statistical
030109 nutrition & dietetics
Receiver operating characteristic
business.industry
Body Weight
lcsh:R
Biology and Life Sciences
Proteins
biology.organism_classification
Body Height
Diet
Logistic Models
Age Groups
Food
People and Places
Population Groupings
lcsh:Q
business
Mathematics
Forecasting
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....846d259ef2840246d99a93e4fbefdf87