Sanchez MA, Armaingaud D, Messaoudi Y, Letty A, Mahmoudi R, Sanchez S. Multiple factor analysis of eating patterns to detect groups at risk of malnutrition among home-dwelling older subjects in 2015.
BMJ Open 2019;
9:e023548. [PMID:
31256016 PMCID:
PMC6609069 DOI:
10.1136/bmjopen-2018-023548]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 06/03/2019] [Accepted: 06/12/2019] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE
We aimed to describe eating patterns among home-dwelling older subjects to establish typologies of eaters at higher or lower risk of malnutrition.
DESIGN
Cross-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.
SETTING
Registered customers of the home meal delivery company 'Azaé' (France).
PARTICIPANTS
605 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.
RESULTS
Average 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.
CONCLUSION
Improved 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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