Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Cognitive screening tools such as the Montreal Cognitive Assessment (MoCA) are widely used to detect cognitive impairments. However, their accuracy in low- and middle-income countries (LMICs) may be affected by variations in educational levels. This study examined the impact of educational attainment on MoCA performance in older Ugandan adults, considering sex- and age-related differences.

Methods: A cross-sectional study was conducted in Wakiso District, Uganda, involving adults aged ≥ 65 years. Their MoCA scores were analyzed in relation to their educational attainment, sex, and age. Multiple linear regression models were used to determine the independent effect of education on cognitive performance after adjusting for age and sex. Sensitivity analyses were conducted using multiple imputations for missing data.

Results: Higher educational attainment was significantly associated with a better MoCA performance (β = 1.73, 95% CI: 1.22-2.24, < 0.001). Age was negatively associated with MoCA scores (β = -0.13, 95% CI: -0.19 to -0.07, < 0.001), whereas male sex was positively associated (β = 1.89, 95% CI: 0.56-3.22, = 0.005). The interaction terms (education × sex and education × age) were not significant, indicating that the effect of education was consistent across demographic subgroups. The final regression model explained 42.7% of the variance in the MoCA scores (adjusted R = 0.43, < 0.001). The sensitivity analysis confirmed the robustness of the findings.

Conclusions: Educational attainment impacts MoCA performance in older Ugandans, highlighting the need for region-specific norms and culturally adapted cognitive screening in LMICs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12410502PMC
http://dx.doi.org/10.20935/mhealthwellb7804DOI Listing

Publication Analysis

Top Keywords

educational attainment
16
cognitive screening
12
moca performance
12
moca scores
12
montreal cognitive
8
older ugandan
8
performance older
8
cognitive
7
moca
7
education
5

Similar Publications

Chronic early-life obesity linked to childhood impulsivity predicts long-term psychosis trajectory through dose-dependent cerebellar dysmaturation in 22q11.2 Deletion Syndrome.

Biol Psychiatry Cogn Neurosci Neuroimaging

September 2025

Developmental Imaging and Psychopathology Laboratory, University of Geneva School of medicine, Geneva, Switzerland; Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland.

Background: Recent epidemiological evidence links early-life obesity and metabolic dysregulation to adult psychosis vulnerability, though a causal relationship remains unclear. Establishing causality in highly heritable psychotic disorders requires: 1) demonstrating that early-life metabolic factors mediate between genetic vulnerability and psychosis trajectory, 2) dissecting mechanisms leading to early-life obesity in genetically vulnerable individuals, and 3) clarifying downstream neurodevelopmental pathways linking early-life obesity to psychosis symptoms.

Methods: Here we investigated bidirectional pathways linking behavioral, BMI, and neurodevelopment trajectories in a unique longitudinal cohort of 184 individuals at high genetic risk for psychosis, due to 22q11.

View Article and Find Full Text PDF

Longitudinal patterns and predictors of COVID-19 vaccine confidence from pre-vaccine rollout to mass vaccination: A population-based cohort study.

Vaccine

September 2025

School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong, SAR, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of H

Background: Vaccine confidence is crucial for achieving high vaccination rates against COVID-19, yet vaccine confidence varied significantly throughout the pandemic. This study assessed the trajectories and predictors of COVID-19 vaccine confidence from prior to the vaccine rollout to mass vaccination.

Methods: It is a population-based cohort study with nine waves of longitudinal data from September 2020 to February 2023, spanning the pre-vaccine rollout to COVID-19 mass vaccination in Hong Kong.

View Article and Find Full Text PDF

This study aimed to measure the absolute and relative differences in the recommended practice of leisure-time physical activity (LTPA) of Brazilian men and women between 2010 and 2019. The sample consisted of 512,968 subjects from ten cross-sectional telephone surveys carried out in the 27 Brazilian capitals. The gap in the prevalence of LTPA practice between genders was calculated by measures of absolute inequality, calculated in percentage points, and relative inequality, calculated by the adjusted prevalence ratio (PR), with a trend analyzed by the Joinpoint regression method, obtaining the annual percentage change (APC).

View Article and Find Full Text PDF

Factors associated with excessive screen time in the Brazilian population: a panel study with 254.600 adults and elderly.

Cien Saude Colet

August 2025

Faculdade de Medicina, Universidade Federal do Rio Grande Faculdade de Medicina. R. General Osório s/n, Centro. 96200-400 Rio Grande RS Brasil.

Screen time has prompted investigations by researchers worldwide because of its impact on general health. This research aimed to analyze excessive screen time from a Brazilian national survey among adults and older people and to verify the immediate effect of the COVID-19 pandemic on the evolution of the behavior. A panel study using the survey database between 2016-2022, in a sample of 254,600 Brazilian adults and elderly residents in capital cities.

View Article and Find Full Text PDF

In this cross-sectional study, carried out in 2012, we assessed factors associated with tooth loss among adolescents from Minas Gerais, Brazil, utilizing data from a secondary database. Individual and local-level variables were selected to represent health determinants. Individual covariates included sex, age, skin color, maternal education, household income, use of dental services, and self-perceived need for dental care.

View Article and Find Full Text PDF