Title | Insights into the associated risk factors of malnutrition among nursing home residents: A longitudinal study |
Publication Type | Journal Article |
Year of Publication | 2024 |
Authors | Mello Jde Almeida, Schoebrechts E, Vandenbulcke PAnn Ivonne, Declercq A, De Lepeleire J, Matthys C, Declerck D, Duyck J |
Journal | Clinical nutrition (Edinburgh, Scotland) |
Volume | 43 |
Issue | 11 |
Pagination | 166-173 |
ISBN Number | 1532-1983 |
Accession Number | 39393202 |
Keywords | *Geriatric Assessment/methods/statistics & numerical data, *Malnutrition/epidemiology/diagnosis, *Nursing Homes/statistics & numerical data, *Nutrition Assessment, Aged, Aged, 80 and over, Cross-Sectional Studies, Female, Health assessment, Homes for the Aged/statistics & numerical data, Humans, Longitudinal Studies, Male, malnutrition, Nursing Homes, Nutritional Status, Risk Factors, Risk of malnourishment, Screening |
Abstract | Malnutrition often remains undetected in older persons, leading to increased health problems and comorbidity, prolonged hospital stays and readmissions. In 2020, data from the interRAI Home Care (interRAI HC) instrument was used to determine malnutrition status according to some of the criteria of the Global Leadership Initiative on Malnutrition (GLIM). The interRAI HC instrument showed to be effective as a screening tool for the risk of malnutrition. The goal of the present study is to use the interRAI Long Term Care Facilities (interRAI LTCF) instrument for nursing home residents to identify factors related to older people's health that are significantly associated with the development of malnutrition. This study analyzes data collected in the period 2019-2023 from nursing home residents, 65 or older, with a follow-up period of 1 year. After applying the GLIM criteria to the available interRAI LTCF data, a cross-sectional sample a longitudinal sample were analyzed by means of bivariate analysis. Factors included in the bivariate analysis were based in previous studies and expert opinion. Unadjusted and adjusted regression models were built to explore associations between several potential risk factors and nutritional status. The sample consisted of 5598 older people with a mean age of 83.98 ± 7.30 years old and 71.2 % being female. Most people needed extensive assistance with activities of daily living (70.9%) and had at least a mild cognitive impairment (63.9%). According to the GLIM definition using the interRAI items, 8.43% of the residents were malnourished and 4.67% of the residents became malnourished over the period of 1 year. The final adjusted logistic regression yielded significant odds ratios for seven determinants: age (O.R. 1.03; C.I.: 1.01; 1.04), depressive symptoms (O.R.: 1.32; 1.01; 1.73), assistance needed for walking (O.R. 1.49; C.I.: 1.13; 1.95), wandering behavior (O.R. 1.16; C.I.: 1.01; 1.33), falls (O.R. 1.17; C.I.: 1.02; 1.35), visual impairment (O.R. 1.22; C.I.: 1.05; 1.42) and diabetes (protective factor - O.R.: 0.67; C.I.: 0.46; 0.98). The study showed the main risk factor for malnourishment in nursing home residents, such as age, depressions, assistance for walking, wandering and visual impairment. These significant factors can be used to identify people at risk of malnourishment. Periodically screening residents with the interRAI LTCF can help identify malnourished residents or residents at risk of malnourishment. |
DOI | 10.1016/j.clnu.2024.09.024 |
Custom 1 | Conflict of interest The authors declare no conflict of interest. |