To eat or not to eat? Indicators for reduced food intake in 91,245 patients hospitalized on nutritionDays 2006-2014 in 56 countries worldwide: a descriptive analysis.

Schindler, Karin; Themessl-Huber, Michael; Hiesmayr, Michael; Kosak, Sigrid; Lainscak, Mitja; Laviano, Alessandro; Ljungqvist, Olle; Mouhieddine, Mohamed; Schneider, Stéphane; de van der Schueren, Marian; Schütz, Tatjana; Schuh, Christian; Singer, Pierre; Bauer, Peter; Pichard, Claude

BACKGROUND Inadequate nutrition during hospitalization is strongly associated with poor patient outcome, but ensuring adequate food intake is not a priority in clinical routine worldwide. This lack of priority results in inadequate and unbalanced food intake in patients and huge amounts of wasted food. OBJECTIVES We evaluate the main factors that are associated with reduced meal intake in hospitalized patients and the differences between geographical regions. DESIGN We conducted a descriptive analysis of data from 9 consecutive, annual, and cross-sectional nutritionDay samples (2006-2014) in a total of 91,245 adult patients in 6668 wards in 2584 hospitals in 56 countries. A general estimation equation methodology was used to develop a model for meal intake, and P-value thresholding was used for model selection. RESULTS The proportion of patients who ate a full meal varied widely (24.7-61.5%) across world regions. The factors that were most strongly associated with reduced food intake on nutritionDay were reduced intake during the previous week (OR: 0.20; 95% CI: 0.17, 0.22), confinement to bed (OR: 0.49; 95% CI: 0.44, 0.55), female sex (OR: 0.53; 95% CI: 0.5, 0.56), younger age (OR: 0.74; 95% CI: 0.64, 0.85) and older age (OR: 0.80; 95% CI: 0.74; 0.88), and low body mass index (OR: 0.84; 95% CI: 0.79, 0.90). The pattern of associated factors was homogenous across world regions. CONCLUSIONS A set of factors that are associated with full meal intake was identified and is applicable to patients hospitalized in any region of the world. Thus, the likelihood for reduced food intake is easily estimated through access to patient characteristics, independent of world regions, and enables the easy personalization of food provision. This trial was registered at clinicaltrials.gov as NCT02820246.