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

Arifin, Hidayat; Chen, Ruey; Banda, Kondwani Joseph; Kustanti, Christina Yeni; Chang, Ching-Yi; Lin, Hui-Chen; Liu, Doresses; Lee, Tso-Ying; Chou, Kuei-Ru

doi:10.1016/j.ijnurstu.2023.104648

Cited by 8 publications

(7 citation statements)

References 92 publications

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“…In the following research, there is some concordance with our proposed model as machine learning algorithms are applied. However, this study focuses on predicting factors associated with the onset of Alzheimer's in the elderly, according to the authors [12], [13]. Another study aligns with our results by conducting a thorough diagnosis of the disease to determine personalized treatments, focusing on key concepts such as accuracy, prediction, recall, and training time [14], [15].…”

Section: Discussionmentioning

confidence: 64%

“…The results provide new evidence on factors associated with dementia in the elderly. This information will facilitate the early detection and development of preventive measures for possible signs of dementia [12], [13]. According to this research, an exhaustive analysis of the diagnosis of Alzheimer's disease is carried out in order to determine the most appropriate treatment for each patient.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The lower the Gini impurity, the purer the nodes. During tree construction, we seek to minimize the Gini impurity to obtain splits that result in more homogeneous nodes, as described in (12).…”

Section: Modelmentioning

confidence: 99%

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Predictive models in Alzheimer's disease: an evaluation based on data mining techniques

Andrade-Arenas,

Rubio-Paucar,

Yactayo-Arias

2024

IJECE

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The increasing prevalence of Alzheimer's disease in older adults has raised significant concern in recent years. Aware of this challenge, this research set out to develop predictive models that allow early identification of people at risk for Alzheimer's disease, considering several variables associated with the disease. To achieve this objective, data mining techniques were employed, specifically the decision tree algorithm, using the RapidMiner Studio tool. The sample explore modify model and assess (SEMMA) methodology was implemented systematically at each stage of model development, ensuring an orderly and structured approach. The results obtained revealed that 45.00% of people with dementia present characteristics that identify them as candidates for confirmation of a diagnosis of Alzheimer's disease. In contrast, 52.78% of those who do not have dementia show no danger of contracting the disease. In the conclusion of the research, it was noted that most patients diagnosed with Alzheimer's are older than 65 years, indicating that this stage of life tends to trigger brain changes associated with the disease. This finding underscores the importance of considering age as a key factor in the early identification of the disease.

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Section: Discussionmentioning

confidence: 64%

Section: Literature Reviewmentioning

confidence: 99%

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Predictive models in Alzheimer's disease: an evaluation based on data mining techniques

Andrade-Arenas,

Rubio-Paucar,

Yactayo-Arias

2024

IJECE

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“…MN is common in older adults with dementia. It has been related to their cognitive, metabolic, and neurochemical status and to other conditions derived from aging [ 6 , 7 , 8 ]. The prevalence of MN and risk of MN in institutionalized older adults with dementia has been recently documented by several systematic reviews and meta-analyses.…”

Section: Introductionmentioning

confidence: 99%

“…The prevalence of MN and risk of MN in institutionalized older adults with dementia has been recently documented by several systematic reviews and meta-analyses. Evidence shows that, depending on the populations and tools used for diagnosis, the prevalence is up to 32.52% and 57.43%, respectively [ 7 ]. Another mental condition that has demonstrated a relation with nutritional status is schizophrenia.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Malnutrition in a Group of Institutionalized Psychogeriatric Patients Using Different Diagnostic Criteria

de Mateo Silleras,

Barrera Ortega,

Carreño Enciso

et al. 2024

Nutrients

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Malnutrition (MN) is a highly prevalent condition in the elderly. It is associated with functional impairment, disability, frailty, and sarcopenia. The aim was to analyze the capacity of GLIM and ESPEN criteria to diagnose MN in a sample of institutionalized psychogeriatric patients. Clinical and anthropometric data were collected in a cross-sectional study. Patients’ frailty, dependence, functional capacity, MNA, hand-grip strength (HS), and sarcopenia were evaluated. Body composition (BC) was estimated by conventional bioimpedance analysis. MN diagnosis was established using the ESPEN and the GLIM criteria based on fat-free mass index (GLIM-FFMI), appendicular skeletal muscle mass index (GLIM-ASMMI), skeletal muscle mass index (GLIM-SMMI), and HS (mGLIM). Ninety-two patients (57.6% men; mean age: 79.4 years) were studied. Depending on the diagnosis criteria, MN prevalence was between 25% (ESPEN) and 41.3% (GLIM-SMMI). Agreement between ESPEN and all GLIM criteria was poor, but it was excellent between all GLIM criteria (kappa > 0.8). Phenotypic criteria carried more weight in the diagnosis of MN than etiological ones. Depending on the parameter used, the prevalence of reduced muscle mass was notably different. Differences in BMI, BC, inflammation, and albumin are detected by the GLIM-FFMI criteria in the MN and non-MN subjects. Also, this criterion is the only one that identified differences in phase angle (PhA) between these groups. In the elderly, PhA can be very useful to monitor nutritional status.

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Dual-task training in older adults with cognitive impairment: A meta-analysis and trial sequential analysis of randomized controlled trials

Ye,

Chen,

Chu

et al. 2024

International Journal of Nursing Studies

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

Cited by 8 publications

References 92 publications

Predictive models in Alzheimer's disease: an evaluation based on data mining techniques

Predictive models in Alzheimer's disease: an evaluation based on data mining techniques

Prevalence of Malnutrition in a Group of Institutionalized Psychogeriatric Patients Using Different Diagnostic Criteria

Dual-task training in older adults with cognitive impairment: A meta-analysis and trial sequential analysis of randomized controlled trials

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