Prevalence of Malnutrition in Patients with Parkinson’s Disease: A Systematic Review

Kacprzyk, Karolina Wioletta; Milewska, Magdalena; Zarnowska, Alicja; Pańczyk, Mariusz; Rokicka, Gabriela; Szostak-Węgierek, Dorota

doi:10.3390/nu14235194

Cited by 9 publications

(7 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The rates of malnutrition and risk of malnutrition observed in elderly inpatients with PD were higher than those reported in community-dwelling elderly patients [6,14]. A systematic review indicated malnutrition rates of 0% to 2% and malnutrition risk rates of 20% to 34% in PD [15]. In our study, among the 48 participants, 10 (20.8%) were malnourished and 26 (54.2%) were at risk of malnutrition, indicating an overall higher incidence compared to patient with PD in the previous study.…”

Section: Discussionmentioning

confidence: 81%

Association between malnutrition and motor/non-motor symptoms in elderly with Parkinson disease

Bae,

2023

J Geriatr Neurol

View full text Add to dashboard Cite

Background: Parkinson disease (PD) is a prevalent neurodegenerative disorder characterized by both movement and non-motor symptoms, potentially contributing to malnutrition. This study aims to investigate the association between malnutrition, assessed through the mini nutritional assessment-short form (MNA-SF), and motor/non-motor symptoms in elderly PD patients.Methods: A total of 48 PD patients were recruited, and their nutritional status was evaluated using MNA-SF. Motor/non-motor symptoms were assessed using the unified Parkinson’s disease rating scale (UPDRS). Statistical analysis was performed using linear regression, considering various covariates such as disease severity, cognitive function, and disease duration.Results: The mean age of the study group was 76.8 years, with 75% displaying abnormal nutritional status. An inverse correlation was evident between MNA-SF and UPDRS I, II, III, and overall scores. Patients with abnormal nutritional status developed severe limitations in daily activities and motor dysfunction. Both motor and non-motor symptoms were associated with malnutrition.Conclusions: This study suggests the significant relationship between nutritional status and motor/non-motor symptoms in elderly PD patients. The prevalence of malnutrition was particularly notable among older PD patients, highlighting the importance of consistent nutritional assessment due to its impact on PD severity. These findings suggest a complex interplay between PD symptoms and malnutrition, warranting further investigation with larger participant cohorts.

show abstract

Section: Discussionmentioning

confidence: 81%

Association between malnutrition and motor/non-motor symptoms in elderly with Parkinson disease

Bae,

2023

J Geriatr Neurol

View full text Add to dashboard Cite

show abstract

“…For example, research revealed an inverse relationship between the intake of coffee and caffeine and the likelihood of PD ( 33 ). Another investigation indicated that consuming a diet abundant in fruits, veggies, legumes, whole grains, poultry, and fish was associated with a reduced risk of PD ( 34 ). A different meta-analysis indicated that adhering to a Mediterranean eating style, which involves consuming ample amounts of fruits, vegetables, and fish, was linked to a decreased occurrence of PD ( 5 ).…”

Section: Discussionmentioning

confidence: 99%

Correlation between dietary factors and Parkinson’s disease revealed by the analysis of Mendelian randomization

Zeng,

Yusufujiang,

Zhang

et al. 2024

Front. Nutr.

View full text Add to dashboard Cite

BackgroundThe intricate interplay between dietary habits and the development of Parkinson’s Disease (PD) has long been a subject of scientific inquiry. Mendelian Randomization (MR) emerges as a potent tool, harnessing genetic variants to infer causality in observational data. While evidence links diet to Parkinson’s Disease (PD) etiology, a thorough MR exploration of dietary impacts on PD, particularly involving gut microbiota, is still emerging.MethodsThis research leverages the IEU Open GWAS project’s vast GWAS database1 to address the knowledge gap in understanding diet’s influence on PD, employing a diverse range of dietary variables. Our holistic dataset includes various foods like processed fava beans, bap, red wine, to cheese, reflecting a commitment to untangling dietary complexities in PD etiology. Advancing from initial dietary-PD associations, we innovatively explore the gut microbiota, focusing on Parabacteroides goldsteinii, in relation to bap intake and PD, employing MR. Utilizing weighted median, MR-Egger, and inverse variance weighting methods, we ensure rigorous causality assessments, meticulously mitigating pleiotropy and heterogeneity biases to uphold finding validity.ResultsOur findings indicate red wine (OR: 1.031; 95% CI 1.001–1.062; p = 0.044) and dried fruit consumption (OR: 2.019; 95% CI 1.052–3.875; p = 0.035) correlate with increased PD risk, whereas broad beans (OR: 0.967; 95% CI 0.939–0.996; p = 0.024) and bap intake (OR: 0.922; 95% CI 0.860–0.989; p = 0.023) show protective effects against PD. Employing MR, specifically the IVW method, revealed a significant inverse association between bap intake and gut microbiota, marked by an 8.010-fold decrease in Parabacteroides goldsteinii per standard deviation increase in bap intake (95% CI 1.005–63.818, p = 0.049). Furthermore, a connection between PD and Parabacteroides goldsteinii was observed (OR: 0.810; 95% CI 0.768–0.999; p = 0.049), suggesting a potential microbiota-mediated pathway in PD etiology.ConclusionOur study links dietary habits to PD risk, showing higher PD risk with red wine and dried fruit consumption, and a protective effect from broad beans and bap. Using MR, we found bap intake inversely correlates with Parabacteroides goldsteinii in the gut, suggesting bap influences microbiota. Further, higher Parabacteroides goldsteinii levels correlate with lower PD risk, highlighting a complex interplay of diet, gut microbiome, and neurological health. These insights shed light on potential dietary interventions for PD.

show abstract

“…Weight loss and increased energy expenditure (due to motor symptoms) are associated with PD. 41 The present verse denotes PD associated with complications and mortality.…”

Section: Nikashanniva --Hitam Bahu (Verse 12)mentioning

confidence: 99%

Exploration of prognostic predictors in Vikruteha vignaneeyam chapter of Ashtanga Sangraha

Mamidi,

Gupta

2023

HPMIJ

View full text Add to dashboard Cite

Ashtanga Sangraha is a popular Ayurvedic classical text written by Vriddha Vagbhata or Vagbhata I in Sanskrit language around 500 AD. It has earned its right place among the great treatises of Ayurveda. Vagbhata has compiled prognostic aspects within 4 chapters (from 9 to 12) of Shareera Sthana of Ashtanga Sangraha (SSAS). Vikruteha Vignaneeyam is the 10th chapter of SSAS and it is the compilation of various Arishta Lakshanas pertaining to abnormal behaviour or psychomotor activity suggestive of fatal signs and symptoms explained within 35 verses. Ashtanga Sangraha has not received much attention and the research done in this area is negligible. The present work is aimed to analyse the contents of Vikruteha Vignaneeyam chapter of SSAS in terms of prognostic significance and current relevance. Contents of the Vikruteha Vignaneeyam chapter represent various terminal illnesses or end-of-life stages. Vagbhata has done comprehensive presentation of Arishta Vignana (prognostic knowledge) with concise explanations in Vikruteha Vignaneeyam chapter of SSAS.

show abstract

Prevalence of Malnutrition in Patients with Parkinson’s Disease: A Systematic Review

Cited by 9 publications

References 69 publications

Association between malnutrition and motor/non-motor symptoms in elderly with Parkinson disease

Association between malnutrition and motor/non-motor symptoms in elderly with Parkinson disease

Correlation between dietary factors and Parkinson’s disease revealed by the analysis of Mendelian randomization

Exploration of prognostic predictors in Vikruteha vignaneeyam chapter of Ashtanga Sangraha

Contact Info

Product

Resources

About