Nutritional status, dementia, and mobility among nursing home’s residents: First exhaustive cross-sectional study in Limousin territory (France)

Abstract

Background Aging is accompanied by a drop in the level of health and autonomy, within Western countries more and more people being cared for in nursing homes (NH). The nutritional data in NH in France remain poor, not exhaustive and not representative. The objective of the study was to assess the nutritional status, dementia and mobility patterns among residents of NH in the Limousin territory of France. Methods The study was cross-sectional, descriptive and exhaustive, conducted with the residents of 13 voluntary NH. Undernutrition was identified using French High Authority for Health criteria, and obesity if Body Mass Index >30, in the absence undernutrition criterion. The Mini Mental State examination scores was used for dementia assessment at the threshold of 24. The Mini Nutritional AssessmentTM was used for mobilitity assessment. The statistics were significant at the 5% threshold. Results 866 residents (70.6% women) included with an average age of 85.3 ± 9.3 years. Undernutrition was 27.5%, obesity 22.9%, dementia 45.7% and very low mobility 68.9%. Women were older than men, more often undernourished, more often demented and more often had very low mobility (p<0.01). Undernutrition (p<0.0001) and low mobility (p<0.0001) were significantly higher among those with dementia versus those without dementia. Very low mobility was higher among undernourished (p<0.05). Conclusions Undernutrition and obesity are important problems in NH in France. Being a woman, having dementia and having a very low mobility may induce undernutrition.

Higher Dietary Intake of Advanced Glycation End Products Is Associated with Faster Cognitive Decline in Community-Dwelling Older Adults

“…Demographic covariates were age, sex, years of education, and race. We also covaried for body mass index (BMI) (calculated from weight/height [ 2 ]), a commonly used measure of nutritional status in older adults [ 19 ]. Our models included the number of three self-reported vascular risk factors (hypertension, type 2 diabetes, and smoking) and four vascular diseases (heart attack, congestive heart failure, claudication, and stroke) as described in prior publications [ 20 ].…”