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.
In this harmonized meta-analysis based on prospective data of older, community-dwelling adults, age, marital status, limitations with walking and climbing stairs, and hospitalization were identified as determinants of incident malnutrition.
Older adults are at risk of protein-energy malnutrition (PEM). PEM detrimentally impacts on health, cognitive and physical functioning and quality of life. Given these negative health outcomes in the context of an ageing global population, the Healthy Diet for a Healthy Life Joint Programming Initiative Malnutrition in the Elderly (MaNuEL) sought to create a knowledge hub on malnutrition in older adults. This review summarises the findings related to the screening and determinants of malnutrition. Based on a scoring system that incorporated validity, parameters used and practicability, recommendations on setting-specific screening tools for use with older adults were made. These are: DETERMINE your health checklist for the community, Nutritional Form for the Elderly for rehabilitation, Short Nutritional Assessment Questionnaire-Residential Care for residential care and Malnutrition Screening Tool or Mini Nutritional Assessment-Short Form for hospitals. A meta-analysis was conducted on six longitudinal studies from MaNuEL partner countries to identify the determinants of malnutrition. Increasing age, unmarried/separated/divorced status (vs.married but not widowed), difficulties walking 100 m or climbing stairs and hospitalisation in the year prior to baseline or during follow-up predicted malnutrition. The sex-specific predictors of malnutrition were explored within The Irish Longitudinal Study of Ageing dataset. For females, cognitive impairment or receiving social support predicted malnutrition. The predictors for males were falling in the previous 2 years, hospitalisation in the past year and self-reported difficulties in climbing stairs. Incorporation of these findings into public health policy and clinical practice would support the early identification and management of malnutrition.
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.
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Background & aim: Protein-energy malnutrition is under-recognised in the community despite being common in older adults due to physiological and social changes which are often compounded by chronic disease. This qualitative study aimed to explore the opinions of healthcare professionals (HCPs) working in the primary care and community settings about the management of malnutrition and the prescription of oral nutritional supplements (ONS), often included in the treatment of malnutrition. Methods: Twelve healthcare professional (HCP) focus groups with 75 participants were conducted: community dietitians (n ¼ 17), registered dietitians working in industry (n ¼ 5), community and residential care nurses (n ¼ 22), physiotherapists (n ¼ 12), pharmacists (n ¼ 9), occupational therapists (n ¼ 6) and speech and language therapists (n ¼ 4). Focus group discussions were audio-recorded and transcribed verbatim. The data were coded and analysed using thematic analysis and key themes with illustrative quotes extracted are presented. Results: Similar views on malnutrition management existed across professions. 'Gaps in Primary Care Management' was the first key theme wherein HCPs identified limitations in malnutrition management in the community. Barriers included limited or no dietetic services available in primary care and poor communication between general practitioners and wider primary care team members which resulted in inappropriate or delayed treatment. The second key theme, 'Challenges with ONS use in the Community', encapsulated several issues HCPs experienced with ONS usage including inappropriate prescribing and lack of monitoring of treatment goals. Conflicts of interest regarding dietitians working in industry assessing and treating older adults in residential care settings was highlighted by participants. Conclusions: This study highlights that more emphasis is needed to identify patients when they are at risk of malnutrition to avoid advanced or severe malnutrition presentations currently seen. Community
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.
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