Validity of Mini Nutritional Assessment tool among an elderly population in Yeka sub-city, Addis Ababa, Ethiopia

Meta-analysis and moderator analysis of the prevalence of malnutrition and malnutrition risk among older adults with dementia

BACKGROUND

Aging and dementia are common and closely related health problems in older adults, affecting their ability to maintain a healthy diet and ultimately resulting in malnutrition.

OBJECTIVE

In this study, we estimated the global prevalence of malnutrition and malnutrition risk in older adults with dementia.

DESIGN

Meta-analysis.

DATA SOURCES

Embase, Ovid MEDLINE, PubMed, CINAHL, Scopus, and Web of Science were comprehensively searched for articles published from database inception to October 2022.

METHODS

Pooled prevalence analysis was conducted using a generalized linear mixed model and a random-effects model. I2 and Cochran's Q statistics were used for identifying heterogeneity. Publication bias was evaluated using Peters' regression test and a funnel plot. Moderator analyses were conducted to investigate variations in the prevalence estimates of the included studies. All statistical analyses were conducted using R software.

RESULTS

A total of 16 studies involving a total of 6513 older adults with dementia were included in the analysis. The results indicated that 32.52 % (95 % confidence interval: 19.55-45.49) of all included older adults with dementia had malnutrition, whereas 46.80 % (95 % confidence interval: 38.90-54.70) had a risk of malnutrition. The prevalence of malnutrition was found to be high among older patients living in institutionalized settings (46.59 %) and those with Alzheimer's disease (12.26 %). The factors moderating the prevalence of malnutrition included adequate vitamin B12 consumption, risk behaviors, medical comorbidities, and certain neuropsychiatric symptoms. The prevalence of malnutrition risk was high among women (29.84 %) and patients with Alzheimer's disease (26.29 %). The factors moderating the prevalence of malnutrition risk included total cholesterol level, vitamin B12 consumption, risk behaviors, medical comorbidities, and certain neuropsychiatric symptoms.

CONCLUSIONS

Approximately one-third of older adults with dementia are malnourished and nearly half of older adults are at a risk of malnutrition. Encouraging collaboration among health-care professionals and ensuring early assessment and effective management of malnutrition are crucial for maintaining a favorable nutritional status in older adults with dementia.

REGISTRATION

This study was registered with the International Prospective Register of Systematic Reviews (PROSPERO: CRD42022369329).

TWEETABLE ABSTRACT

Globally, approximately 32.52 % of older adults with dementia are malnourished and approximately 46.80 % are at a risk of malnutrition.

Nutritional status and its associated factors among elderly people in Ilu Aba Bor Zone, Southwest Ethiopia: a community-based cross-sectional study

OBJECTIVES

This study aimed to assess the nutritional status and its associated factors among elderly people.

DESIGN

A community-based cross-sectional study.

SETTING

The study was conducted in urban and semiurban areas.

PARTICIPANTS

The study included 620 elderly community dwellers in Southwest Ethiopia from 3 October 2021 to 10 November 2021. Those who were seriously ill, could not get around or were on special diets were excluded from the study.

OUTCOME MEASURE

The Mini Nutritional Assessment was used to evaluate nutritional status and the STEPwise approach was used to collect data on backgrounds and lifestyle. SPSS V.22.0 was used for data analysis. Logistic regression was computed. The level of significance was set at 0.05.

RESULTS

Elderly people who were malnourished or at risk of malnutrition were found to make up 48.1% (44.1%) and 17.4% (14.5%) of the population, respectively. Those aged 80 years and older had a chance of being at risk of malnutrition (adjusted OR (AOR)=22.555; 95% CI: 7.963 to 63.881), while the odds of being malnourished were 11.5 times higher (AOR=11.755; 95% CI: 4.825 to 28.638). Informal education was a significant predictor of being at risk of malnutrition (AOR=6.102; 95% CI: 2.684 to 13.871). Urban dwellers were 8.9 times more likely to be malnourished. Inadequate financial resources make people 3.7 times more likely to be malnourished. A lower wealth index was a significant predictor of being at risk of malnutrition (AOR=4.156; 95% CI: 1.361 to 12.692). Single elderly people had a 3.4-fold higher risk of malnutrition. Elderly people with chronic pain, who were smokers and alcoholics, and who had depression were all at risk of nutritional problems.

CONCLUSION

The risk of malnutrition and malnourishment was high. Age, urbanisation, finances, education, economics, being a woman, smoking and alcohol are associated factors. Interventional studies are warranted to minimise malnutrition challenges in the study population.

Validity and Predictive Performance of Mini Nutritional Assessment Tool for Institutionalized Elders in Ethiopia

Background

Despite the high burden of malnutrition in the country, there is a lack of a simple and valid tool to screen elders in Ethiopia. The Mini Nutritional Assessment (MNA) tool has been validated for comprehensive geriatric assessment to identify malnutrition in other countries. However, there is a lack of evidence on the potential validity and reliability of the tool for institutionalized elders in Ethiopia. This study was aimed at determining the validity and predictive performance of MNA tool for malnutrition among Ethiopian institutionalized elderly.

Methods

A facility-based survey was conducted on randomly selected 164 elders in geriatric centers to evaluate the validity, reliability, and predictive performance of full MNA against hemoglobin (Hgb) and ideal body weight (IBW) measured under standard procedures. The data was presented in ROC graphs, and reliability was evaluated with Cronbach alpha. The receiver-operating characteristic curve (ROC) analysis was used to assess the predictive performance of the tool. The area under the curve (AUC) with its 95% CI was reported. The Youden index, at maximum sensitivity and specificity, was used to obtain optimal cutoff points.

Results

The internal consistency of the tool was good (α = 0.80). The full MNA score can better predict Hgb (AUC = 0.845; 0.783-0.899) and percentage of IBW (AUC = 0.90; 0.842-0.941) at specified cutoff points. A full MNA can predict malnutrition or risk of malnutrition based on percentage IBW at a sensitivity and specificity of 97.3% and 72.2%, respectively.

Conclusions

The full MNA has the potential to be a reliable and valid nutritional assessment tool for institutional elders.

Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition

Cognitive frailty (CF) is defined by the coexistence of physical frailty and mild cognitive impairment. Malnutrition is an underlying factor of age-related conditions including physical frailty. However, the evidence associating malnutrition and cognitive frailty is limited. This cross-sectional study aimed to determine the association between malnutrition and CF in the elderly. A total of 373 participants aged 65-84 years were enrolled after excluding those who were suspected to have dementia and depression. Then, 61 CF and 45 normal participants were randomly selected to measure serum prealbumin level. Cognitive function was assessed using the Montreal Cognitive Assessment-Basic (MoCA-B). Modified Fried's criteria were used to define physical frailty. Nutritional status was evaluated by the Mini Nutritional Assessment-short form (MNA-SF), serum prealbumin, and anthropometric measurements. The prevalence of CF was 28.72%. Malnourished status by MNA-SF category (aOR = 2.81, 95%CI: 1.18-6.67) and MNA-SF score (aOR = 0.84, 95%CI = 0.74-0.94) were independently associated with CF. However, there was no correlation between CF and malnutrition assessed by serum prealbumin level and anthropometric measurements. Other independent risk factors of CF were advanced age (aOR = 1.06, 95%CI: 1.02-1.11) and educational level below high school (aOR = 6.77, 95%CI: 1.99-23.01). Malnutrition was associated with CF among Thai elderly. High-risk groups who are old and poorly educated should receive early screening and nutritional interventions.

Correlation Between Mini Nutritional Assessment and Anthropometric Measurements Among Community-Dwelling Elderly Individuals in Rural Southern Thailand

Purpose

The Mini Nutritional Assessment (MNA) can be applied to assess nutrition status among community-dwelling elderly individuals by health care professionals. This study aimed to evaluate the correlation of MNA score and anthropometric measurements, gait speed, and handgrip strength among elderly community members. The secondary outcome was to compare the performance of the MNA-SF with the full MNA.

Materials and Methods

The study was a cross-sectional study with 176 elderly individuals aged ≥60 years living in rural southern Thailand. The MNA-SF and full MNA scores were obtained by using the standard form in the Thai version of the MNA. We collected anthropometric measurements, gait speed, handgrip strength, and MNA data.

Results

There was a significant positive correlation between body weight, BMI, waist circumference, hip circumference, waist-to-height ratio, waist-to-hip ratio, mid-upper arm circumference, calf circumference, triceps skinfold thickness, handgrip strength and full MNA total score using the partial correlation coefficient after controlling for age and sex. The MNA-SF had sensitivity of 78.79%, specificity of 81.82%, PPV of 50%, NPV of 94.35%, LR+ of 4.33, LR- of 0.26, accuracy of 81.25% and AUC 0.901 when using the full MNA as a reference standard.

Conclusion

The MNA correlated with many anthropometric measurements. The MNA-SF had a high specificity, NPV and accuracy of more than 80% when compared with the full MNA.

Nutritional Assessment in Older Adults : MNA® 25 years of a Screening Tool and a Reference Standard for Care and Research; What Next?

A tool to assess nutritional status in older persons was really needed. It took 5 years to design the MNA® (Mini Nutrition Assessment) tool, complete the first validations studies both in Europe and in the U.S. and to publish it. After the full MNA®, the MNA® short form and the self-MNA® have been validated. As well as Chinese and other national MNA® forms. Now more than 2000 clinical research have used the MNA® all over the world from community care to hospital. At least 22 Expert groups included the MNA® in new clinical practice guidelines, national or international registries. The MNA® is presently included in almost all geriatric and nutrition textbook and part of the teaching program for medicine and other health care professional worldwide. The urgent need is to target the frail older adults more likely to have weight loss and poor appetite and to prevent frailty and weight loss in the robust. We present in this paper the review of 25 years of clinical research and practice using the MNA® worldwide.

Predictors of malnutrition among older adults aged above 65 years in eastern Ethiopia: neglected public health concern

BACKGROUND

A nutritional problem, especially under nutrition is one of the common public health problems in older population causing greater mortality and economic loss in developing countries. However, evidences on the risk factors for increased nutritional risk among older population is not well stated in Ethiopia. This study aimed to assess the nutritional status and predictors of malnutrition among older adults (> = 65 years) in Eastern Ethiopia.

METHODS

A community-based analytical survey was conducted among randomly selected 592 older people aged above 65 years of age in Harari region. Subjects were selected using multistage sampling pretested Full Mini Nutritional Assessment (MNA) tool was used to classify as malnourished (MNA score < 17), at risk of malnutrition (MNA score of 17 to 23.5) and otherwise normal. Validated geriatric depression scale short form (15 items) was employed to screen for depression. Data were presented using statistical tables, frequency, percentage, and graphs. Ordinary logistic regression was employed to identify predictors of malnutrition and plum method was used to generate odds ratio. The level of statistical significance was declared at P-value less than 5%. Chi-square test, crude and adjusted odds ratio with 95% confidence was reported.

RESULTS

A total of 592 respondents (93.4%) were interviewed. About 306 (51.7%) and 93 (15.7%) were found to be at risk of malnutrition and malnourished respectively. The predicted log odds of being malnourished was higher among those from rural residents (AOR = 2.08: 1.25-3.45), not on working (AOR = 1.31: 95% CI: 0.87-1.95) and did not have health insurance (AOR = 1.58; 95% CI; 0.97-2.58). Those with chronic pain (AOR = 1.70; 95% CI: 1.15-2.51), previous hospitalization (AOR = 1.59: 95% CI: 1.27-2.38) and not able to cover their personal expense (AOR =1.61: 95% CI: 1.12-2.30) were predictors of malnutrition. The relationship between previous hospitalizations with malnutrition among older adults people is moderated significantly by the presence of chronic pain (β = 0.113, p = 0.015).

CONCLUSIONS

Malnutrition among old age is a public health concern that needs attention. Economical vulnerability, residence, depression, presence of chronic disease, and hospitalization were important risk factors for malnutrition among old age.