The first univariate analysis studied the association between nutritional status and fallers. Being a faller (yes or no) was used as the dependent variable. As independent variable, two dummy variables indicating the nutritional status (no risk of malnutrition, at risk of malnutrition, and
malnourished) were used, with no risk of malnutrition as the reference category. The second univariate analysis studied the association between see more nutritional status and activity. Activity (inactive, i.c. bedfast or chairfast, and active, i.c. walks occasionally or walks frequently) was used as the dependent variable. As independent variable, two dummy variables indicating the nutritional status (no risk of malnutrition, at risk of malnutrition, and malnourished) were used, with no risk of malnutrition as the reference category. The third univariate analysis studied the association between activity and fallers. Being a faller (yes or no) was used as the dependent variable. As independent variable, three dummy variables indicating activity (bedfast, chairfast, walks occasionally, and walks frequently) were used, with bedfast as the reference category. Two multivariate analyses were carried out. Resident characteristics, i.c. gender, number of
diseases, care dependency, activity, and BMI were checked for confounding factors by adding them sequentially into the multi varied model. The first multivariate analysis was carried out to check whether a possible relation between nutritional status and fallers depends on
activity. Osimertinib cost The interaction of activity with nutritional status was added into the model. Activity was dichotomized into “bedfast or chairfast” (the inactive group) and “walks occasionally or walks frequently” (the active group). The second multivariate analysis was to check whether the relation between nutritional status and fallers is affected by nutritional intervention, without taking into account the type of nutritional intervention. In all analyses we used 95% confidence intervals (CIs); p-values smaller than 0.05 level were considered significant. Out of 6828 participants, data of 6701 residents were available from 81 LTC institutions. Due to incomplete data, 127 residents were excluded. In the total group of 6701 residents, Adenosine the prevalence of residents at risk of malnutrition or malnourished was respectively 31.2% and 22.8%. Regarding fallers, 9.8% of the residents sustained at least one fall. Table 1 shows the characteristics of non-fallers and fallers. Fallers are more often male, have more diseases, and are less care dependent than non-fallers. Fig. 1 shows that the majority of the fallers is not only more active (walks occasionally or walks frequently) but is also malnourished. In Table 2a, univariate analysis shows that the odds of being a faller are significantly higher in the malnourished group compared to no risk of malnutrition.
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