Evidence map›Paper›PMID 39857495›Full record

ArticleInternational journal of environmental research and public health2024

ADL+: A Digital Toolkit for Multidomain Cognitive, Physical, and Nutritional Interventions to Prevent Cognitive Decline in Community-Dwelling Older Adults.

Justin Chew, Zhiwei Zeng, Toh Hsiang Benny Tan, Pamela Chew, Noorhazlina Ali, Hao Wang, Melissa Ong, Roslyn Raymond, Kalene Pek, Di Wang and 6 more

Abstract readMulticenter Study
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Justin ChewDepartment of Geriatric Medicine, Tan Tock Seng Hospital, Singapore 308433, Singapore.ORCID 0000-0001-9891-6663
Zhiwei ZengJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-7787-5644
Toh Hsiang Benny TanJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-8724-9399
Pamela ChewDepartment of Psychology, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Noorhazlina AliDepartment of Geriatric Medicine, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Hao WangJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-3086-3128
Melissa OngInstitute of Geriatrics and Active Aging, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Roslyn RaymondInstitute of Geriatrics and Active Aging, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Kalene PekInstitute of Geriatrics and Active Aging, Tan Tock Seng Hospital, Singapore 308433, Singapore.ORCID 0000-0002-2062-9872
Di WangJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.
Liang ZhangJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.
Zhiqi ShenJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0001-7626-7295
Cyril LeungJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.
Jing Jih ChinDepartment of Geriatric Medicine, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Wee Shiong LimDepartment of Geriatric Medicine, Tan Tock Seng Hospital, Singapore 308433, Singapore.ORCID 0000-0003-3975-7230
Chunyan MiaoJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.

Funding

Medical Research CouncilMinistry of Health, Singapore, National Medical Research Council (NMRC) National Innovation Challenge (NIC) on Active and Confident Aging: Cognition Grant MOH/NIC/COG04/2017
6 · The paper itself

Abstract

backgroundCurrent research highlights the importance of addressing multiple risk factors concurrently to tackle the complex etiology of dementia. However, limited evidence exists on the efficacy of technology-driven, multidomain community-based interventions for preventing cognitive decline.

objectivesTo evaluate the efficacy of ADL+, an artificial intelligence (AI)-enabled digital toolkit integrating cognitive assessments and multidomain interventions, on outcomes of cognitive function, activity levels, and quality of life in older adults at risk of cognitive decline. Adherence and usability were also evaluated.

methodsWe conducted a quasi-experimental study including community-dwelling older adults aged 60 years and above without dementia, but with subjective memory complaints (AD8 score ≥ 2). Participants received a six-month intervention (app-based cognitive training, personalized nutritional, physical, and social activities recommendations) or a control group treatment (cognitive health educational package). The primary outcome was a change in neuropsychological test battery (NTB) Z-scores (NTB composite and its individual domains: attention, processing speed, memory, and executive function). Secondary outcomes were activity levels (Frenchay Activities Index, FAI), and quality of life (EQ-5D). Outcomes were assessed at the end of the intervention and three months post-intervention using linear mixed-effects models.

results96% of participants in the intervention and 89% in the control group completed the study. At six months, the intervention group showed a significant NTB composite score improvement (mean change: 0.086 (95% CI 0.020 to 0.15)), with a between-group difference of 0.17 (95% CI 0.071 to 0.27). Significant differences in attention, processing speed, and memory domains were observed, with benefits sustained in the processing speed domain at nine months. The control group's FAI scores declined at six months (mean change: -1.04 (95% CI -1.83 to -0.26)), while the intervention group's scores remained stable. The intervention group's EQ-5D visual analogue scale (VAS) scores improved at both six and nine months, with between-group differences of 4.06 (95% CI 0.23 to 7.90) at six months and 5.12 (95% CI 0.81 to 9.43) at nine months. Adherence was high, while average usability scores were obtained.

conclusionsThe ADL+ toolkit shows potential beneficial effects on cognitive function, activity levels, and quality of life for older adults at risk of cognitive decline. Findings will guide future randomized controlled trials and implementation efforts.

Indexed as

Aging in PlaceCognitionDementiaAgedAged, 80 and overDigital HealthExerciseHumansMiddle AgedMobile ApplicationsSoftwareagingartificial intelligencecognitiondementiadigitalmultidomain interventionpreventiontechnology

Identifiers

PMID39857495
PMCPMC11764548

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.