RESUMEN
BACKGROUND: Malnutrition negatively impacts on health, quality of life and disease outcomes in older adults. The reported factors associated with, and determinants of malnutrition, are inconsistent between studies. These factors may vary according to differences in rate of ageing. This review critically examines the evidence for the most frequently reported sociodemographic factors and determinants of malnutrition and identifies differences according to rates of ageing. METHODS: A systematic search of the PubMed Central and Embase databases was conducted in April 2019 to identify papers on ageing and poor nutritional status. Numerous factors were identified, including factors from demographic, food intake, lifestyle, social, physical functioning, psychological and disease-related domains. Where possible, community-dwelling populations assessed within the included studies (N = 68) were categorised according to their ageing rate: 'successful', 'usual' or 'accelerated'. RESULTS: Low education level and unmarried status appear to be more frequently associated with malnutrition within the successful ageing category. Indicators of declining mobility and function are associated with malnutrition and increase in severity across the ageing categories. Falls and hospitalisation are associated with malnutrition irrespective of rate of ageing. Factors associated with malnutrition from the food intake, social and disease-related domains increase in severity in the accelerated ageing category. Having a cognitive impairment appears to be a determinant of malnutrition in successfully ageing populations whilst dementia is reported to be associated with malnutrition within usual and accelerated ageing populations. CONCLUSIONS: This review summarises the factors associated with malnutrition and malnutrition risk reported in community-dwelling older adults focusing on differences identified according to rate of ageing. As the rate of ageing speeds up, an increasing number of factors are reported within the food intake, social and disease-related domains; these factors increase in severity in the accelerated ageing category. Knowledge of the specific factors and determinants associated with malnutrition according to older adults' ageing rate could contribute to the identification and prevention of malnutrition. As most studies included in this review were cross-sectional, longitudinal studies and meta-analyses comprehensively assessing potential contributory factors are required to establish the true determinants of malnutrition.
Asunto(s)
Desnutrición , Calidad de Vida , Anciano , Envejecimiento , Humanos , Vida Independiente , Desnutrición/diagnóstico , Desnutrición/epidemiología , Factores SociodemográficosRESUMEN
Older adults are at increased risk of malnutrition, which is associated with poorer health, quality of life, and worse disease outcomes. This study identifies predictors of incident malnutrition using data from a subsample (n = 1,841) of The Irish Longitudinal Study on Ageing. Participants were excluded if they were less than 65 years, missing body mass index data at baseline or follow-up, missing baseline weight loss data or malnourished at baseline (body mass index <20 kg/m2 or unplanned weight loss ≥4.5 kg in the previous year). Logistic regression analysis was performed with incident malnutrition (body mass index <20 kg/m2 and/or calculated weight loss >10% over follow-up) as the dependent variable. Factors showing significant (p < .05) univariate associations with incident malnutrition were entered into a multivariate model. The analysis was then repeated, stratified by sex. The 2-year incidence of malnutrition was 10.7%. Unmarried/separated/divorced status (vs married but not widowed), hospitalization in the previous year, difficulties walking 100 m, or climbing stairs independently predicted incident malnutrition at follow-up. When examined by sex, hospitalization in the previous year, falls during follow-up, and self-reported difficulties climbing stairs predicted malnutrition in males. Receiving social support and cognitive impairment predicted malnutrition in females. The development of malnutrition has a range of predictors. These can be assessed using simple questions to identify vulnerable persons.
Asunto(s)
Desnutrición/epidemiología , Factores de Edad , Anciano , Anciano de 80 o más Años , Índice de Masa Corporal , Femenino , Humanos , Incidencia , Vida Independiente , Irlanda/epidemiología , Estudios Longitudinales , Masculino , Valor Predictivo de las Pruebas , Factores de RiesgoRESUMEN
This systematic review and meta-analysis assesses the prevalence of protein-energy malnutrition risk across different health-care settings in European older adults, using 22 malnutrition screening tools recently validated for use in older adults. Systematic searches were performed in six electronic databases (2006 through 2017). Included were studies which reported malnutrition risk in adults aged ≥65y in Europe. Frequency of high and moderate malnutrition risk for each malnutrition screening tool was collated. Meta-analyses of malnutrition risk using a random-effects model were performed where data from at least 10 study samples were available. Of 21,465 studies, 196 studies were available for data extraction, representing 223 study samples from 24 European countries and 583,972 older adults. Pooled prevalence rates of high malnutrition risk across all countries and malnutrition screening tools were 28.0% (n = 127 study samples), 17.5% (n = 30), and 8.5% (n = 32), for the hospital, residential care and community settings respectively. Using meta-regression, prevalence rates were higher in adults aged >80y (p < 0.0001), in women (p = 0.03) and in patients with one or multiple comorbidities (p < 0.0001). Prevalence rates differed by country, from 15.2% in Spain to 37.7% in Switzerland, and by screening tool, from 14.9% using MNA-SF to 40.6% using NRS-2002. In conclusion, the prevalence of high malnutrition risk in European older adults varies widely between countries and across health-care settings. Malnutrition risk is associated with older age, gender and presence of disease. As prevalence rates differ depending on the screening tool used, the use of one preferred malnutrition screening tool per setting is strongly recommended.
Asunto(s)
Desnutrición Proteico-Calórica/epidemiología , Anciano , Europa (Continente)/epidemiología , Evaluación Geriátrica , Hospitales , Humanos , Tamizaje Masivo , Evaluación Nutricional , PrevalenciaRESUMEN
RATIONALE: Many malnutrition screening tools are used to screen for risk of malnutrition in older adults. An aim of the Joint Programming Initiative (JPI) 'A Healthy Diet for a Healthy Life' (HDHL) MalNutrition in the ELderly Knowledge hub (MaNuEL) is to devise recommendations on the best tools to screen for risk of malnutrition in older adults in community and healthcare settings across Europe. The aim of this paper was to develop and apply a scoring system to rate malnutrition screening tools. METHODS: Using a targeted literature search strategy, 48 malnutrition screening tools used to screen for risk of malnutrition in older adults were identified across community, rehabilitation, residential care and hospital settings. Criteria to rate each tool were developed; these were based on published evidence and expert opinion. These criteria were translated into a scoring system. RESULTS: The scoring system had three equally weighted sections; validation, parameters and practicability, and was applied to all 48 tools. Overall, the highest scoring tools per setting for screening for risk of malnutrition in older adults were i) DETERMINE your health checklist for the community setting; ii) the Nutritional Form for the Elderly (NUFFE) for the rehabilitation setting; iii) the Short Nutritional Assessment Questionnaire-Residential Care (SNAQRC) for residential care and iv) both the Malnutrition Screening Tool (MST) and the Mini Nutritional Assessment Short Form Version 1 (MNA-SF-V1) for the hospital setting. CONCLUSION: Setting-specific tools are more appropriate for use with older adults. These findings will inform recommendations for the optimal screening of geriatric malnutrition across Europe.
Asunto(s)
Evaluación Geriátrica , Desnutrición/diagnóstico , Evaluación Nutricional , Anciano , Instituciones de Salud , Servicios de Atención de Salud a Domicilio , Humanos , Desnutrición/clasificación , Encuestas Nutricionales/métodos , Encuestas Nutricionales/normas , Valor Predictivo de las Pruebas , Reproducibilidad de los ResultadosRESUMEN
BACKGROUND: Older adults are at increased risk of malnutrition compared to their younger counterparts. Malnutrition screening should be conducted using a valid malnutrition screening tool. An aim of the Healthy Diet for a Healthy Life (HDHL) Joint Programming Initiative (JPI) 'Malnutrition in the Elderly Knowledge Hub' (MaNuEL) was to review the reported validity of existing malnutrition screening tools used in older adults. METHODS: A literature search was conducted to identify validation studies of malnutrition screening tools in older populations in community, rehabilitation, residential care and hospital settings. A database of screening tools was created containing information on how each tool was validated. RESULTS: Seventy-four articles containing 119 validation studies of 34 malnutrition screening tools used in older adults were identified across the settings. Twenty-three of these tools were designed for older adults. Sensitivity and specificity ranged from 6 to 100% and 12-100% respectively. Seventeen different reference standards were used in criterion validation studies. Acceptable reference standards were used in 68 studies; 38 compared the tool against the Mini Nutritional Assessment-Full Form (MNA-FF), 16 used clinical assessment by a nutrition-trained professional and 14 used the Subjective Global Assessment (SGA). Twenty-five studies used inappropriate reference standards. Predictive validity was measured in 14 studies and was weak across all settings. CONCLUSIONS: Validation results differed significantly between tools, and also between studies using the same tool in different settings. Many studies have not been appropriately conducted, leaving the true validity of some tools unclear. Certain tools appear to be more valid for use in specific settings.