ArticleBMJ open2019
Multiple factor analysis of eating patterns to detect groups at risk of malnutrition among home-dwelling older subjects in 2015.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A nomogram for predicting oral frailty in older adults: a small-sample cross-sectional study in Anhui Province, China.Frontiers in public health · 2026Article
- Protein Intake and Its Association With Meal Patterns and Dietary Patterns in a Swedish Population of Older Adults.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025Article
- Socioeconomic, Eating- and Health-Related Limitations of Food Consumption among Polish Women 60+ Years: The 'ABC of Healthy Eating' Project.Nutrients · 2021Article
- Discovering the underlying typology of emergency departments.BMC medical research methodology · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe aimed to describe eating patterns among home-dwelling older subjects to establish typologies of eaters at higher or lower risk of malnutrition.
designCross-sectional study between June and September 2015 using a standardised questionnaire. The questionnaire was given to home-help employees (responsible for delivering meals to home-dwelling older persons and helping them to eat). The employees were asked to complete the questionnaire three times during the same week, for the same older adults, in order to identify the totality of their food intake.
settingRegistered customers of the home meal delivery company 'Azaé' (France).
participants605 older home-dwelling persons were randomly selected among customers served by the home meal delivery company. OUTCOMES: Multiple factor analysis was used to understand the different modes of food consumption and to establish eating profiles. Hierarchical classification was performed to construct eating profiles corresponding to the dietary habits of the respondents.
resultsAverage age of the older adults was 85.3 years; 73.5% were women. Overall, 59% of participants reported that they ate out of habit, while 33.7% said they ate for pleasure. We identified four different groups of eaters, at varying levels of risk for malnutrition. Individuals in group 4 had the highest food intake in terms of quantity; and were less dependent than individuals in group 1 (p=0.05); group 1 was at highest risk of malnutrition.
conclusionImproved understanding of eating habits can help detect risky behaviours and help caregivers to promote better nutrition among home-dwelling older subjects.
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