Mapping computational cognitive profiles of aging to dissociable brain and sociodemographic factors DOI Creative Commons
Aleya A. Marzuki,

Kean Yung Wong,

Jee Kei Chan

и другие.

npj Aging, Год журнала: 2024, Номер 10(1)

Опубликована: Окт. 31, 2024

Aging is associated with declines in cognition and brain structural integrity. However, there equivocality over (1) the specificity of affected domains different people, (2) location patterns deterioration, (3) sociodemographic factors contributing to 'unhealthy' cognition. We aimed identify cognitive profiles displayed by older adults determine features potentially shaping these profiles. A sample Southeast-Asian (N = 386) participated a multi-session study comprising testing, neuroimaging, structured interview. used computational models extract latent mechanisms underlying flexibility response inhibition. Data-driven methods were construct based on standard performance measures model parameters. also investigated grey matter volume machine-learning derived 'brain-ages'. profile poor set-shifting rigid focusing was widespread reduction control regions. slow responding advanced brain-age. Both correlated socioeconomic standing reserve. found that impact partially mediated total white matter, dorsolateral prefrontal cerebellar volumes. This furthers understanding how distinct aging impairment uniquely correspond specific vs. global deterioration significance informing age.

Язык: Английский

The Impact of Socioeconomic Factors on Cognitive Ability in Community-Dwelling Older Adults: Mediating Effect of Social Participation and Social Support DOI Open Access

Yilin Zheng,

Yu Zhang, Mingzhu Ye

и другие.

Healthcare, Год журнала: 2025, Номер 13(5), С. 551 - 551

Опубликована: Март 4, 2025

Previous studies have shown that socioeconomic status influences cognitive health in adults. Therefore, it is important for the development of healthy aging policies to further investigate effect specific factors on function older people and possible mechanism. In this study, three (i.e., income, occupation, education) were used as independent variables, social support participation parallel or serial mediating variables community-dwelling adults pathway influence. A cross-sectional study was conducted Pudong New District Shanghai, China. total 970 aged over 60 years old who had lived their current location more than 5 enrolled. Socioeconomic adults, including education level, occupation before retirement, investigated, levels measured using MoCA, MSPSS, quantity activities, respectively. Covariates, lifestyle, status, sleep quality, nutritional assessed a self-designed questionnaire, PSQI, MNA-SF scale. Omnibus mediation analysis adopted examine effect, performed SPSS PROCESS program. Community-dwelling with higher complex level better function, βmedium income = 1.949 βhigh 3.799 compared low-income (all p < 0.001), occupational complexity 1.262 1.574 low 0.01), 1.814 1.511 0.001). Social significantly mediated above relationship 0.001); relative indirect medium high through respectively 0.356 0.777 accounting 18.36% 20.45% effect; (β) 0.358 0.561, 28.36% 35.64% while 0.311 0.562, 17.14% 39.19% effect. being 0.132 0.160, 0.096 0.156, respectively, 4.21% 6.77%, 5.29% 10.32%, effects. Serial showed affected subsequently effects 0.065 0.078, 0.043 0.070, 3.3% 2.0%, 2.4-4.6% This demonstrates independently cumulatively mediate between conditions improving systems encouraging actively participate activities may be beneficial preventing decline The findings also provide new insights future improvement future.

Язык: Английский

Процитировано

0

A systematic review of epidemiological studies of life course socioeconomic status and adult structural brain changes DOI

Sahan Benedict Mendis,

Miles Welstead, Mary Tan

и другие.

Neuroscience & Biobehavioral Reviews, Год журнала: 2025, Номер unknown, С. 106066 - 106066

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Anxiety, brain structure and socioeconomic status in middle-aged and older adults DOI Creative Commons
Sasha Johns, Caroline Lea‐Carnall, Nick Shryane

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

Abstract Anxiety disorders confer a significant global burden, impacting mental health, quality of life, and well-being, particularly in aging populations. Prior studies showed the association between anxiety abnormal brain structure, socioeconomic status (SES) is linked with both structure. However, limited research considers interaction these three factors, older adults. Multivariate regression analysis was conducted using 27,563 participants from UK Biobank to investigate relationship volume 30 cortical subcortical regions for whole sample separately by sex. It then investigated whether SES affects this relationship. Five out had negative associations population. These were thalamus, gyrus, insular cortex, supramarginal gyrus precentral but relationships abolished each area apart when included analyses. For females, no found. males, lower significantly associated higher anxiety, longer considered. The most robustly across conditions that may affect not excluded time assessment scans varied widely participants. Information about past during development also available. To conclude, affected SES. Clinicians researchers should take into account working imaging data.

Язык: Английский

Процитировано

0

Lifecourse socioeconomic status and high-risk pregnancy in Chinese women: Evidence from Grandmothers, Mothers, and Their Children’s Health study DOI
Hui Wang, Yue Zhang,

Yaguan Zhou

и другие.

American Journal of Preventive Medicine, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Mapping computational cognitive profiles of aging to dissociable brain and sociodemographic factors DOI Creative Commons
Aleya A. Marzuki,

Kean Yung Wong,

Jee Kei Chan

и другие.

npj Aging, Год журнала: 2024, Номер 10(1)

Опубликована: Окт. 31, 2024

Aging is associated with declines in cognition and brain structural integrity. However, there equivocality over (1) the specificity of affected domains different people, (2) location patterns deterioration, (3) sociodemographic factors contributing to 'unhealthy' cognition. We aimed identify cognitive profiles displayed by older adults determine features potentially shaping these profiles. A sample Southeast-Asian (N = 386) participated a multi-session study comprising testing, neuroimaging, structured interview. used computational models extract latent mechanisms underlying flexibility response inhibition. Data-driven methods were construct based on standard performance measures model parameters. also investigated grey matter volume machine-learning derived 'brain-ages'. profile poor set-shifting rigid focusing was widespread reduction control regions. slow responding advanced brain-age. Both correlated socioeconomic standing reserve. found that impact partially mediated total white matter, dorsolateral prefrontal cerebellar volumes. This furthers understanding how distinct aging impairment uniquely correspond specific vs. global deterioration significance informing age.

Язык: Английский

Процитировано

0