Predictors of Incident Malnutrition in Older Irish Adults from the Irish Longitudinal Study on Ageing Cohort-A MaNuEL study

Nutritional impairment, psychological health and quality of life among older adults with advanced cancer: A secondary analysis of a randomized clinical trial

BACKGROUND

Nutritional impairment is associated with treatment toxicity and worse overall survival in patients with cancer. We aimed to (1) evaluate the association of nutritional impairment with psychological health and quality of life (QOL) and (2) examine which measures of nutrition had the strongest association with psychological health and QOL among older adults receiving cancer treatment with palliative intent.

METHODS

This secondary analysis was performed on baseline data from a nationwide cluster randomized clinical trial (ClinicalTrials.gov identifier: NCT02107443; PI: Mohile). Adults age ≥70 with advanced cancer and ≥1 geriatric assessment (GA) impairment were enrolled from 2014 to 2017. In line with geriatric oncology standards, we defined nutritional impairment as Mini Nutritional Assessment Short Form (MNA-SF) ≤11, body mass index (BMI) <21 kg/m2, or >10% involuntary weight loss in the past 6 months. We conducted multivariable linear regressions to evaluate the association of nutritional impairment with each measure of psychological health and QOL: Geriatric Depression Scale (GDS-15, range 0-15), Generalized Anxiety Disorder-7 (GAD-7, range 0-21), NCCN Distress Thermometer (NCCN DT, range 0-10), and Functional Assessment of Cancer Therapy-General (FACT-G, range 0-108). Analyses were adjusted for patient demographics, clinical characteristics, and GA.

RESULTS

Among 541 patients, the mean age was 77 (range 70-96) and 60% had nutritional impairment. Mean baseline scores: GDS-15 3.1 (SD 2.7), GAD-7 2.9 (SD 4.0), NCCN DT 2.9 (SD 2.7), and FACT-G 80 (SD 15). In the adjusted model, compared to those with no nutritional impairment, older adults with nutritional impairment had greater depression (β = 0.79, 95% CI 0.36-1.23) and anxiety severity (β = 0.86, 95% CI 0.19-1.53), and worse QOL (β = -6.31, 95% CI -8.62 to -4.00). Of the measures of nutrition, MNA-SF ≤11 demonstrated the strongest associations with depression, anxiety, distress, and QOL.

CONCLUSION

Nutritional impairment is associated with impaired psychological health and worse QOL. Clinicians should use the MNA-SF to screen older adults for nutritional impairment and offer tailored supportive interventions.

Nutrition risk and cognitive performance in community-living older adults without cognitive impairment: a cross-sectional analysis of the Canadian Longitudinal Study on Aging

Malnutrition is correlated with poor cognition; however, an understanding of the association between nutrition risk, which precedes malnutrition, and cognition is lacking. This study aimed to determine if nutrition risk measured with the SCREEN-8 tool is associated with cognitive performance among cognitively healthy adults aged 55+, after adjusting for demographic and lifestyle covariates. Sex- and age-stratified analyses were also explored. Baseline data from the Canadian Longitudinal Study on Aging was used. Cognition was determined using a 6-measure composite score based on four executive functions and two memory tasks, taking into account age, sex, and education. Multivariable linear regression was performed while adjusting for body mass index (BMI), lifestyle, and health covariates in the entire sample (n = 11 378) and then stratified by sex and age. Approximately half of participants were female (54.5%) aged 65+ (54.1%). Greater nutrition risk was associated with poorer cognitive performance in the entire sample (F[1, 11 368] = 5.36, p = 0.021) and among participants aged 55-64 (n = 5227; F[1, 5217] = 5.45, p = 0.020). Sex differences in lifestyle and health factors associated with cognition were apparent, but nutrition risk was not associated with cognition in sex-stratified models. Based on this analysis, there may be an association between nutrition risk and cognitive performance in older adults. When screening for either cognitive impairment or nutrition risk, complementary assessments for these conditions is warranted, as early intervention may provide benefit.

The Relationship of Food Insecurity to Nutritional Risk in Independent Living Older Adults

Understanding the factors that augment optimal health during aging is critical as the US older adult population is increasing. Most research about food insecurity, nutritional risk, and perceived health among older adults are in urban areas or congregate living facilities. Thus, the purpose of this project was to study the relationships among these factors, plus activities of daily living, in community-dwelling older adults in a medium-sized city. Using a qualitative-quantitative study design, a cross-sectional survey was completed by 167 low-income senior apartment residents. Food insecurity in this group was higher than the national and state rate, yet nutrition assistance programs were underutilized and participants under 75 years were more food insecure than their older counterparts. Food insecure residents were at greater nutritional risk, had poorer self-reported health status, were more likely to be depressed, and had a less independent function, including limitations on the ability to shop for and prepare food. The study area is desirable to retirees due to lower cost of living; however, access to services, such as grocery stores, public transportation, and health care providers is limited. This research indicates the need for increased outreach, nutrition assistance, and support services to ensure healthy aging in these regions.

Comparison of body fat percentage assessments by bioelectrical impedance analysis, anthropometrical prediction equations, and dual-energy X-ray absorptiometry in older women

Background

Individuals with high body fat have a higher risk of mortality. Numerous anthropometric-based predictive equations are available for body composition assessments; furthermore, bioelectrical impedance analysis (BIA) estimates are available. However, in older adults, the validity of body fat estimates requires further investigation.

Objective

To assess the agreement between percentage body fat (BF%) estimates by BIA and five predictive equations based on anthropometric characteristics using dual X-ray absorptiometry (DXA) as reference method. A secondary objective was to identify whether excluding short-stature women improves the agreement of BF% estimates in a group of community-dwelling, older Mexican women.

Methods

A concordance analysis of BF% was performed. A total of 121 older women participated in the study. Anthropometric information, BIA, and DXA body composition estimates were obtained. Five equations using anthropometric data were evaluated in order to determine body fat percentage (BF%) using DXA as reference method. Paired t-test comparisons and standard error of estimates (SEE) were obtained. The Bland-Altman plot with 95% limits of agreement and the concordance correlation coefficient (CCC) were used to evaluate the BF% prediction equations and BIA estimates.

Results

The mean age of the study participants was 73.7 (±5.8) years old. BIA and the anthropometric based equations examined showed mean significant differences when tested in the entire sample. For the taller women (height > 145 cm), no significant difference in the paired comparison was found between DXA and BIA of BF% estimates. The mean BF% was 40.3 (±4.8) and 40.7 (±6.2) for DXA and BIA, respectively. The concordance between methods was good (CCC 0.814), (SEE 2.62). Also, in the taller women subset, the Woolcott equation using waist-to-height ratio presented no significant difference in the paired comparison; however, the error of the estimates was high (SEE 3.37) and the concordance was moderate (CCC 0.693).

Conclusion

This study found that BIA yielded good results in the estimation of BF% among women with heights over 145 cm. Also, in this group, the Woolcott predictive equation based on waist circumference and height ratio showed no significant differences compared to DXA in the paired comparison; however, the large error of estimates observed may limit its application. In older women, short stature may impact the validity of the body fat percentage estimates of anthropometric-based predictive equations.

Assessing Sarcopenia, Frailty, and Malnutrition in Community-Dwelling Dependant Older Adults-An Exploratory Home-Based Study of an Underserved Group in Research

BACKGROUND

Adults of advanced age, with functional dependency, socioeconomic disadvantage, or a need for home care, are expected to be at high risk of sarcopenia, frailty and malnutrition, yet are likely to be underrepresented in research. We aimed to explore the assessment of sarcopenia, frailty, and malnutrition in-home, and to describe the practicality of performing these assessments.

METHODS

Home-based health assessments and post-study feedback surveys were conducted among community-dwelling older adults ≥65 years in receipt of state-funded home care (n = 31). Assessments included probable sarcopenia [hand-grip strength (HGS), chair rise-test, and SARC-F case-finding tool], the Mini Nutritional Assessment (MNA), and the Clinical Frailty Scale (CFS).

RESULTS

The study group was of mean age 83.2 ± 8.2 years, 74% were female and 23% lived in socioeconomically disadvantaged areas. Almost all met the criteria for probable sarcopenia (94%, n = 29/31), were frail or vulnerable by the CFS (97%, n = 30/31), and over a quarter were at risk of malnutrition (26%, n = 8). Participants had low physical activity (71.0%, n = 22/31), with a mean daytime average of 11.4 ± 1.6 h spent sitting. It was possible to assess probable sarcopenia (by HGS and SARC-F, but not the chair rise test), malnutrition (MNA), and frailty (CFS). Home-based research was a complex environment, and unearthed significant unmet need, prompting referrals to health services (36%, n = 11), in addition to technology assistance. The majority of participants (93%) reported a willingness to partake in future research.

CONCLUSIONS

Most community-dwelling older people in receipt of home support, assessed in this exploratory study, were at risk of probable sarcopenia, frailty, and low physical activity, with over a quarter were at risk of malnutrition. Our initial findings provide practical data for large scale studies and may inform the development of intervention studies aiming to support ageing in place.

Ageing rate of older adults affects the factors associated with, and the determinants of malnutrition in the community: a systematic review and narrative synthesis

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.

Malnutrition in Older Adults-Recent Advances and Remaining Challenges

Malnutrition in older adults has been recognised as a challenging health concern associated with not only increased mortality and morbidity, but also with physical decline, which has wide ranging acute implications for activities of daily living and quality of life in general. Malnutrition is common and may also contribute to the development of the geriatric syndromes in older adults. Malnutrition in the old is reflected by either involuntary weight loss or low body mass index, but hidden deficiencies such as micronutrient deficiencies are more difficult to assess and therefore frequently overlooked in the community-dwelling old. In developed countries, the most cited cause of malnutrition is disease, as both acute and chronic disorders have the potential to result in or aggravate malnutrition. Therefore, as higher age is one risk factor for developing disease, older adults have the highest risk of being at nutritional risk or becoming malnourished. However, the aetiology of malnutrition is complex and multifactorial, and the development of malnutrition in the old is most likely also facilitated by ageing processes. This comprehensive narrative review summarizes current evidence on the prevalence and determinants of malnutrition in old adults spanning from age-related changes to disease-associated risk factors, and outlines remaining challenges in the understanding, identification as well as treatment of malnutrition, which in some cases may include targeted supplementation of macro- and/or micronutrients, when diet alone is not sufficient to meet age-specific requirements.

Predicting Malnutrition Risk with Data from Routinely Measured Clinical Biochemical Diagnostic Tests in Free-Living Older Populations

Malnutrition (undernutrition) in older adults is often not diagnosed before its adverse consequences have occurred, despite the existence of established screening tools. As a potential method of early detection, we examined whether readily available and routinely measured clinical biochemical diagnostic test data could predict poor nutritional status. We combined 2008-2017 data of 1518 free-living individuals ≥50 years from the United Kingdom National Diet and Nutrition Survey (NDNS) and used logistic regression to determine associations between routine biochemical diagnostic test data, micronutrient deficiency biomarkers, and established malnutrition indicators (components of screening tools) in a three-step validation process. A prediction model was created to determine how effectively routine biochemical diagnostic tests and established malnutrition indicators predicted poor nutritional status (defined by ≥1 micronutrient deficiency in blood of vitamins B6, B12 and C; selenium; or zinc). Significant predictors of poor nutritional status were low concentrations of total cholesterol, haemoglobin, HbA1c, ferritin and vitamin D status, and high concentrations of C-reactive protein; except for HbA1c, these were also associated with established malnutrition indicators. Additional validation was provided by the significant association of established malnutrition indicators (low protein, fruit/vegetable and fluid intake) with biochemically defined poor nutritional status. The prediction model (including biochemical tests, established malnutrition indicators and covariates) showed an AUC of 0.79 (95% CI: 0.76-0.81), sensitivity of 66.0% and specificity of 78.1%. Clinical routine biochemical diagnostic test data have the potential to facilitate early detection of malnutrition risk in free-living older populations. However, further validation in different settings and against established malnutrition screening tools is warranted.

Social and Economic Factors and Malnutrition or the Risk of Malnutrition in the Elderly: A Systematic Review and Meta-Analysis of Observational Studies

Malnutrition in the elderly could be tackled by addressing socioeconomic factors. This study aimed to determine the magnitude of the relationship between socioeconomic factors and the malnutrition or malnutrition risk (MR) in the elderly. The PubMed and SCOPUS databases were searched for observational studies that included assessment of malnutrition or/and MR and socioeconomic variables (educational level, living alone, marital status, income and occupational level, feeling of loneliness, place of residence, and food expenditure) in ≥60-year-old subjects, published in English among 2000–2018 (PROSPERO: CRD42019137097). The systematic review included 40 observational studies (34 cross-sectional and 4 cohort studies) and 16 cross-sectional studies in the meta-analysis (34,703 individuals) of malnutrition and MR in relation to low educational level (Odds Ratio (OR): 1.48; 95% Confidence Interval (CI): 1.33–1.64; p < 0.001), living alone (OR: 1.92; 95% CI: 1.73–2.14; p < 0.001), being single, widowed, or divorced (OR: 1.73; 95% CI: 1.57–1.90; p < 0.001), and low income level (OR: 2.69; 95% CI: 2.35–3.08; p < 0.001), and considering these four socioeconomic factors, malnutrition and MR is associated with them (OR: 1.83; 95% CI: 1.73–1.93; p < 0.001). Malnutrition and MR could be reduced by increasing economic level, supporting people living alone or being single, widowed, and divorced, and improving lifelong learning.

Joint action malnutrition in the elderly (MaNuEL) knowledge hub: summary of project findings

PURPOSE

The Joint Action Malnutrition in the Elderly (MaNuEL) Knowledge Hub was established to extend scientific knowledge, strengthen evidence-based practice, build a sustainable, transnational network of experts and harmonize research and clinical practice in the field of protein-energy malnutrition in older persons. This paper aims to summarize the main scientific results achieved during the 2-year project and to outline the recommendations derived.

METHODS

22 research groups from seven countries (Austria, France, Germany, Ireland, Spain, The Netherlands and New Zealand) worked together on 6 relevant domains of malnutrition-i.e. prevalence, screening, determinants, treatment, policy measures and education for health care professionals-making use of existing datasets, evidence and expert knowledge.

RESULTS

Four systematic reviews, six secondary data analyses of existing cohort and intervention studies, two web-based surveys and one Delphi study were performed. In addition, a scoring system to rate malnutrition screening tools and a theoretical framework on the aetiology of malnutrition in older persons were developed. Based on these activities and taking existing evidence into consideration, 13 clinical practice, 9 research and 4 policy recommendations were developed. The MaNuEL Toolbox was created and made available to effectively distribute and disseminate the MaNuEL results and recommendations.

CONCLUSIONS

The MaNuEL Knowledge Hub successfully achieved its aims. Results and recommendations will support researchers, healthcare professionals, policy-makers as well as educational institutes to advance their efforts in tackling the increasing problem of protein-energy malnutrition in the older population.

Malnutrition in older adults: screening and determinants

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.