Vollständiger Abstract
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<h4>Background</h4>Obesity and depression frequently co-occur in older adults and share pathways potentially relevant to glaucoma, yet their dynamic co-evolution and joint contribution to glaucoma risk remain poorly characterized.<h4>Objectives</h4>This study aimed to identify joint longitudinal trajectories of body mass index (BMI) and depressive symptoms and evaluate their association with incident glaucoma.<h4>Methods</h4>Among 6,154 participants from the Health and Retirement Study (2000-2016) in the United States, we applied group-based multi-trajectory modeling to jointly classify BMI and CESD-8 trajectories over nine waves. Incident glaucoma was self-reported. Cox models estimated hazard ratios (HRs) with 95% confidence intervals (CIs).<h4>Results</h4>Over a median follow-up of 12.0 years (interquartile range 8.0-16.0), 234 participants (3.8%) developed incident glaucoma. Four distinct joint trajectories were identified: Normal weight-Low Depression (23.5%, reference), Overweight-Low Depression (25.3%), Normal weight-High Depression (31.9%), and Obese-Moderate Depression (19.3%). Crude incidence rates per 1,000 person-years ranged from 1.92 (95% CI 1.31-2.71) in the reference group to 4.82 (95% CI 3.75-6.11) in the obese-moderate depression group (log-rank <i>p</i> < 0.001). In the fully adjusted model, compared with the reference trajectory, participants in the Overweight-Low Depression (HR 1.61, 95% CI 1.04-2.49), Normal weight-High Depression (HR 1.82, 95% CI 1.19-2.78), and obese-moderate depression (HR 2.52, 95% CI 1.61-3.93) groups had significantly increased glaucoma risk (<i>p</i> for trend < 0.001). These associations remained consistent across subgroups and sensitivity analyses.<h4>Conclusion</h4>Adverse joint trajectories of elevated BMI and depressive symptoms are independently and dose-dependently associated with higher glaucoma risk, supporting integrated monitoring of metabolic and psychological health in glaucoma prevention.
Abstract: PubMed · Datensatz
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Margareta Hedner
- Quelle
- Frontiers in Aging Neuroscience
- Publikation
- 2010-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 1663-4365
- Zitationen
- 15 laut Crossref
- Referenzen
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Zitierfähiger Nachweis
Margareta Hedner (2010). http://www.frontiersin.org/neuroscience/agingneuroscience/paper/10.3389/fnagi.2010.00024/. Frontiers in Aging Neuroscience. https://doi.org/10.3389/fnagi.2026.1910500