Development of a nomogram model for predicting dementia risk in the older adult population of Weifang, Shandong Province, China: based on the biopsychosocial model DOI Creative Commons

Pengxin Geng,

Wenjia Feng,

Weiqin Cai

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 21, 2025

Dementia has emerged as a predominant health challenge. However, there is notable research gap in the collective screening of dementia risks. Hence, pressing need to formulate prediction tool tailored older adult demographic, enabling identification high-risk individuals for dementia. From May October 2023, multi-stage sampling method was utilized survey aged 60 and above Weifang. This study employed Brief Community Screening Instrument (BCSI-D) with We integrated biopsychosocial model construct comprehensive pool factors influencing Employing least absolute shrinkage selection operator multivariate logistic regression analyses, independent were identified nomogram model. Six hundred sixty valid questionnaires included final analysis, validity rate 95.23%. 178 cases using BCSI-D. Napping, lack concentration, self-assessed status, education level, residence, social interaction medical insurance The efficiency analysis model, constructed these factors, demonstrated area under receiver operating characteristic 0.751 training set 0.794 test set. decision curve threshold probabilities sets 5-60% 1-60%, respectively. calibration curves both datasets exhibited high degree fitting predicted curve. developed risk noteworthy predictive performance. proposed offers theoretical data support screening.

Language: Английский

Neighborhood environment and cognitive functioning in middle-aged and older population: A mediating role of physical activity DOI Creative Commons
Andrea Dalecká, Albert J. Ksinan,

D Szabó

et al.

International Journal of Hygiene and Environmental Health, Journal Year: 2025, Volume and Issue: 264, P. 114521 - 114521

Published: Jan. 13, 2025

Evidence on the impact of complex neighborhood environment, including air pollution, greenness, and socioeconomic deprivation (nSED) cognitive health in older adults remains scarce. Both cognition environment are associated with physical activity, but little is known about potential mediating role activity this association. Cross-sectional data Czech arm HAPIEE cohort study examined 4,178 participants (55.6% women) aged 45-69 years. Global score was constructed from memory, verbal fluency, concentration domains. The exposures, assigned to participant's addresses, include 4-year (2000-2003) average concentrations PM2.5, greenness index calculated tree crown canopy cover estimation (2000), census-based nSED characteristics. Physical other covariates were assessed by a questionnaire. Structural equation modelling used estimate standardized β coefficients for relationships between performance. After controlling range covariates, global function inversely PM2.5 (β = -0.087; 95%CI: 0.122 -0.052) -0.147; 0.182 -0.115), positively 0.036; 0.001 0.069). We identified weak statistically significant associations exposures score. Total mediation proportions ranged 3.9% 6.5% respectively. individuals; partially mediated activity.

Language: Английский

Citations

0
Modifiable risk factors for early- and late-onset dementia using the Korean national health insurance service database DOI Creative Commons
Dougho Park,

Myeonghwan Bang,

Hyoung Seop Kim

et al.

The Journal of Prevention of Alzheimer s Disease, Journal Year: 2025, Volume and Issue: unknown, P. 100032 - 100032

Published: Jan. 1, 2025

Early-onset dementia (EOD) and late-onset (LOD) may have distinct modifiable risk-factor profiles. To identify compare factors associated with EOD LOD using a nationwide cohort database. Nationwide two nested case-control studies. We used the National Health Insurance Service-National Sample Cohort database (2004-2019). The initial sample size was 514,866; 5157 39,326 cases were matched 1:1 controls based on age, sex, Charlson Comorbidity Index. Socioeconomic status, residential area, body mass index, alcohol consumption, smoking physical activity, blood pressure, laboratory findings analyzed. Multivariable logistic regression models to risk factors. Higher socioeconomic status increased frequency of activity lower both LOD. Rural residence, heavy higher fasting sugar levels an LOD, although there no significant association EOD. Overall, these impacted more strongly than Demographic lifestyle had greater effect pressure relevant findings. Modifiable influence some pronounced in group group. Identifying can aid development preventive strategies, underscoring clinical importance our

Language: Английский

Citations

0
Whole-brain gray matter volume and fractional anisotropy of the posterior thalamic radiation and sagittal stratum in healthy adults correlate with the local environment DOI Creative Commons
Keisuke Kokubun, Kiyotaka Nemoto, Toshiharu Ikaga

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121033 - 121033

Published: Jan. 1, 2025

Language: Английский

Citations

0
Compositional brain scores capture Alzheimer's disease–specific structural brain patterns along the disease continuum DOI Creative Commons
Patricia Genius, M. Luz Calle, Blanca Rodríguez‐Fernández

et al.

Alzheimer s & Dementia, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Abstract INTRODUCTION Traditional multivariate methods for neuroimaging studies overlook the interdependent relationship between brain features. This study addresses this gap by analyzing relative volumetric patterns to capture how Alzheimer's disease (AD) and genetics influence structure along continuum. METHODS analyzed data from participants across AD continuum Families (ALFA) Disease Neuroimaging Initiative (ADNI) studies. Compositional analysis (CoDA) was exploited examine variations that (1) were linked different stages compared cognitively unimpaired amyloid‐β–negative (CU A−) individuals (2) varied genetic risk. RESULTS stage–specific compositional scores identified, differentiating CU A− those in more advanced stages. Genetic risk–stratified models revealed a broader landscape affecting morphology AD, beyond well‐known apolipoprotein E ε4 allele. DISCUSSION CoDA emerges as an alternative framework deepen understanding of AD‐related structural changes support targeted interventions at higher Highlights variation region volumes, captured scores, capable discerning subjects within other disease‐stage groups also uncovered vulnerability specific regions each stage is integrating magnetic resonance imaging two cohorts without stringent requirements harmonization. translates advantage, traditional methods, strengthens reliability cross‐study comparisons standardizing despite labeling agreements, facilitating collaborative large‐scale research. The algorithm sensitive AD‐specific effects, main display little overlap with age‐specific score. provides accurate addressing its nature, which can development approaches, opening new avenues enhancing health.

Language: Английский

Citations

0
Development of a nomogram model for predicting dementia risk in the older adult population of Weifang, Shandong Province, China: based on the biopsychosocial model DOI Creative Commons

Pengxin Geng,

Wenjia Feng,

Weiqin Cai

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 21, 2025

Dementia has emerged as a predominant health challenge. However, there is notable research gap in the collective screening of dementia risks. Hence, pressing need to formulate prediction tool tailored older adult demographic, enabling identification high-risk individuals for dementia. From May October 2023, multi-stage sampling method was utilized survey aged 60 and above Weifang. This study employed Brief Community Screening Instrument (BCSI-D) with We integrated biopsychosocial model construct comprehensive pool factors influencing Employing least absolute shrinkage selection operator multivariate logistic regression analyses, independent were identified nomogram model. Six hundred sixty valid questionnaires included final analysis, validity rate 95.23%. 178 cases using BCSI-D. Napping, lack concentration, self-assessed status, education level, residence, social interaction medical insurance The efficiency analysis model, constructed these factors, demonstrated area under receiver operating characteristic 0.751 training set 0.794 test set. decision curve threshold probabilities sets 5-60% 1-60%, respectively. calibration curves both datasets exhibited high degree fitting predicted curve. developed risk noteworthy predictive performance. proposed offers theoretical data support screening.

Language: Английский

Citations

0