Effects of a multimodal approach to food art therapy on people with mild cognitive impairment and mild dementia

The artistic image processing for visual healing in smart city

This study investigates the processing methods of artistic images within the context of Smart city (SC) initiatives, focusing on the visual healing effects of artistic image processing to enhance urban residents' mental health and quality of life. Firstly, it examines the role of artistic image processing techniques in visual healing. Secondly, deep learning technology is introduced and improved, proposing the overlapping segmentation vision transformer (OSViT) for image blocks, and further integrating the bidirectional long short-term memory (BiLSTM) algorithm. An innovative artistic image processing and classification recognition model based on OSViT-BiLSTM is then constructed. Finally, the visual healing effect of the processed art images in different scenes is analyzed. The results demonstrate that the proposed model achieves a classification recognition accuracy of 92.9% for art images, which is at least 6.9% higher than that of other existing model algorithms. Additionally, over 90% of users report satisfaction with the visual healing effects of the artistic images. Therefore, it is found that the proposed model can accurately identify artistic images, enhance their beauty and artistry, and improve the visual healing effect. This study provides an experimental reference for incorporating visual healing into SC initiatives.

Visual art therapy and its effects in older people with mild cognitive impairment: A systematic review

INTRODUCTION

Mild cognitive impairment (MCI) is a known risk factor for the development of dementia. The potential benefits on cognition from non-pharmacological measures such as art-based interventions are of increasing interest. This systematic review examines the evidence for the impact of one form of art-based intervention, visual art therapy (VAT), on the cognition and psychological wellbeing of older people with MCI.

METHODS

Randomised controlled and quasi-experimental trials evaluating the efficacy of VAT in older persons aged over 60 years with MCI were included. A search was performed on electronic databases: MEDLINE, CINAHL, Embase and PsycINFO. Joanna Briggs Institute critical appraisal and extraction tools were utilised for risk of bias assessment and data extraction, respectively. A narrative descriptive approach was used to outline the findings.

RESULTS

Seven studies were identified from 4311 articles screened. Improvement in cognition was reported in five studies, with two of these reporting sustained improvement at 6-9 months, while the remaining three studies showed improvement only at the immediate post-intervention period. A positive impact was reported in four of six studies that examined the effect of VAT on participant psychological wellbeing. The overall methodological quality of the studies ranged from moderate in four of five RCTs, to high in the quasi-experimental studies and one RCT. However, the low study power in the context of small sample sizes limits the applicability of these studies to the population of interest.

CONCLUSIONS

VAT is potentially an effective non-pharmacological intervention that may enhance cognition and provide benefits for psychological wellbeing in older persons with MCI. Given the limited studies available, with the majority emerging over the last 5 years, further research is required to confirm these reported benefits, as well as to determine whether VAT impacts on the progression of cognitive decline in MCI.