Evidence map›Paper›PMID 38306040›Full record

ArticleJournal of Alzheimer's disease : JAD2024

Mild Behavioral Impairment and Cerebrovascular Profiles Are Associated with Early Cognitive Impairment in a Community-Based Southeast Asian Cohort.

Yi Jin Leow, See Ann Soo, Dilip Kumar, Fatin Zahra Binte Zailan, Gurveen Kaur Sandhu, Ashwati Vipin, Faith Phemie Hui En Lee, Smriti Ghildiyal, Shan Yao Liew, Chao Dang and 6 more

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Yi Jin LeowLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
See Ann SooLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Dilip KumarLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Fatin Zahra Binte ZailanLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Gurveen Kaur SandhuLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Ashwati VipinLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Faith Phemie Hui En LeeLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Smriti GhildiyalLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Shan Yao LiewLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Chao DangLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Pricilia TanotoLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Isabelle Yu Zhen TanLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Wayne Freeman Weien ChongLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Adnan Azam MohammedLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Kok Pin NgLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Nagaendran KandiahLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mild behavioral impairment (MBI) is one of the earliest observable changes when a person experiences cognitive decline and could be an early manifestation of underlying Alzheimer's disease neuropathology. Limited attention has been given to investigating the clinical applicability of behavioral biomarkers for detection of prodromal dementia. Objective: This study compared the prevalence of self-reported MBI and vascular risk factors in Southeast Asian adults to identify early indicators of cognitive impairment and dementia. Methods: This cohort study utilized baseline data from the Biomarkers and Cognition Study, Singapore (BIOCIS). 607 participants were recruited and classified into three groups: cognitively normal (CN), subjective cognitive decline (SCD), and mild cognitive impairment (MCI). Group comparisons of cognitive-behavioral, neuroimaging, and blood biomarkers data were applied using univariate analyses. Multivariate logistic regression analyses were conducted to investigate the association between cerebrovascular disease, vascular profiles, and cognitive impairment. Results: SCD had significantly higher depression scores and poorer quality of life (QOL) compared to CN. MCI had significantly higher depression scores; total MBI symptoms, MBI-interest, MBI-mood, and MBI-beliefs; poorer sleep quality; and poorer QOL compared to CN. Higher Staals scores, glucose levels, and systolic blood pressure were significantly associated with MCI classification. Fasting glucose levels were significantly correlated with depression, anxiety, MBI-social, and poorer sleep quality. Conclusions: The results reflect current research that behavioral changes are among the first symptoms noticeable to the person themselves as they begin to experience cognitive decline. Self-reported questionnaires may aid in early diagnoses of prodromal dementia. Behavioral changes and diabetes could be potential targets for preventative healthcare for dementia.

Indexed as

Cognitive DysfunctionDementiaBiomarkersCohort StudiesGlucoseHumansNeuropsychological TestsQuality of LifeSoutheast Asian PeopleBiomarkersGlucoseAlzheimer’s diseasebiomarkersdiabetesmild behavioral impairmentmild cognitive impairment

Identifiers

PMID38306040
PMCPMC10894567

What OpenQuestion holds

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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.