Evidence map›Paper›PMID 35057473›Full record

ArticleNutrients2022

Protein Intake among Community-Dwelling Older Adults: The Influence of (Pre-) Motivational Determinants.

Marije H Verwijs, Annemien Haveman-Nies, Jos W Borkent, Joost O Linschooten, Annet J C Roodenburg, Lisette C P G M de Groot, Marian A E de van der Schueren

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marije H VerwijsDepartment of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Kapittelweg 33, 6525 EN Nijmegen, The Netherlands.
Annemien Haveman-NiesDepartment of Social Sciences, Consumption and Healthy Lifestyles, Wageningen University & Research, Hollandseweg 1, 6706 KN Wageningen, The Netherlands.
Jos W BorkentDepartment of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Kapittelweg 33, 6525 EN Nijmegen, The Netherlands.ORCID 0000-0001-8718-4102
Joost O LinschootenDepartment of Food Science & Technology, HAS University of Applied Sciences, P.O. Box 90108, 5200 MA Den Bosch, The Netherlands.ORCID 0000-0001-6832-3701
Annet J C RoodenburgDepartment of Food Science & Technology, HAS University of Applied Sciences, P.O. Box 90108, 5200 MA Den Bosch, The Netherlands.ORCID 0000-0003-2320-8229
Lisette C P G M de GrootDivision of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands.ORCID 0000-0003-2778-2789
Marian A E de van der SchuerenDepartment of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Kapittelweg 33, 6525 EN Nijmegen, The Netherlands.ORCID 0000-0001-5693-0811

Funding

Taskforce for Applied Research RAAK.MKB09.003
6 · The paper itself

Abstract

An adequate protein intake is important for healthy ageing, yet nearly 50% of Dutch community-dwelling older adults do not meet protein recommendations. This study explores protein intake in relation to eight behavioral determinants (I-Change model) among Dutch community-dwelling older adults. Data were collected through an online questionnaire from October 2019-October 2020. Protein intake was assessed by the Protein Screener 55+, indicating a high/low chance of a low protein intake (<1.0 g/kg body weight/day). The behavioral determinants of cognizance, knowledge, risk perception, perceived cues, attitude, social support, self-efficacy and intention were assessed by evaluating statements on a 7-point Likert scale. A total of 824 Dutch community-dwelling older adults were included, recruited via online newsletters, newspapers and by personal approach. Poisson regression was performed to calculate quartile-based prevalence ratios (PRs). Almost 40% of 824 respondents had a high chance of a low protein intake. Univariate analyses indicated that lower scores for all different behavioral determinants were associated with a higher chance of a low protein intake. Independent associations were observed for knowledge (Q4 OR = 0.71) and social support (Q4 OR = 0.71). Results of this study can be used in future interventions aiming to increase protein intake in which focus should lie on increasing knowledge and social support.

Indexed as

MotivationAgedAged, 80 and overCross-Sectional StudiesDietDietary ProteinsDiet SurveysEatingFemaleHumansIndependent LivingMaleNetherlandsPoisson DistributionPrevalenceProtein-Energy MalnutritionDietary Proteinsagedbehaviordietproteins

Identifiers

PMID35057473
PMCPMC8778399

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.