Lifestyle and Psychological Factors Predict Pandemic-Era Depression in Older Adults

The Rising Burden of Geriatric Depression in the Post-Pandemic Era

The global landscape of geriatric mental health shifted significantly following the onset of the COVID-19 pandemic, with depression rates among adults aged 60 and older increasing by approximately 28 percent [1]. While clinicians have long recognized the psychiatric impact of viral outbreaks, the prolonged nature of this crisis introduced complex stressors, including chronic loneliness and disruptions to daily functioning [2, 3]. Systematic reviews indicate that these psychological challenges are often compounded by social isolation, which serves as a potent predictor of poor mental health outcomes in the elderly [4]. Furthermore, the necessity of maintaining physical activity and sleep hygiene is well-documented for preventing cognitive and functional decline in this demographic [5, 6]. A new longitudinal analysis of The Irish Longitudinal Study on Ageing (TILDA) clarifies how specific lifestyle shifts and psychological markers converged to drive depressive symptoms in older adults during this period.

Quantifying the Shift in Mental Health and Daily Habits

To assess the pandemic's impact on mental health, researchers analyzed data from The Irish Longitudinal Study on Ageing (TILDA), comparing observations collected during the COVID-19 pandemic with pre-pandemic baseline data from Wave 5. The analysis revealed that the prevalence of clinically significant depressive symptoms in older adults was significantly higher after the onset of the COVID-19 pandemic than in the pre-pandemic Wave 5 (p < 0.001). This increase suggests that the environmental and social constraints of the pandemic period had a measurable effect on the psychiatric status of the geriatric population, necessitating a closer look at the underlying drivers of this decline. For the practicing physician, these findings confirm that the psychological distress observed in the clinic is part of a broader, statistically significant trend of worsening mental health in the aging population.

Modeling the Drivers of Depressive Symptoms

The study identified substantial disruptions in daily habits that often serve as protective factors for mental health. Sleep architecture was notably affected, as the rate of difficulty falling asleep increased significantly during the pandemic (p < 0.001) and the rate of early awakening also increased significantly (p < 0.001). These disturbances in sleep maintenance and initiation are frequently linked to heightened anxiety and depressive states in clinical practice. Furthermore, physical activity levels saw a sharp decline across multiple intensities. The time spent on anaerobic exercise decreased markedly during the pandemic (p < 0.001), and similar trends were observed for more moderate activities. Specifically, the time spent on aerobic exercise decreased markedly (p < 0.001), while the time spent on slow walking also decreased markedly (p < 0.001). These findings indicate a broad reduction in mobility and exertion, which likely contributed to the observed rise in depressive symptoms.

Clinical Implications for Targeted Geriatric Intervention

To determine which specific factors most accurately predicted the rise in depressive symptoms, the researchers employed a hierarchical multiple linear regression analysis (a statistical method that enters variables into a model in successive steps to determine how much each additional set of factors contributes to the outcome). The researchers first accounted for demographic and psychological variables, including age and gender, alongside scores from the Perceived Stress Scale, which measures the degree to which life situations are appraised as stressful, and the UCLA Loneliness Scale, a standard clinical tool used to quantify subjective feelings of social isolation. The regression model also integrated several critical lifestyle variables related to sleep hygiene and physical activity, including difficulty falling asleep, early awakening, and total sleep duration. Furthermore, the model accounted for physical exertion by tracking the number of days participants engaged in anaerobic exercise, aerobic exercise, and slow walking.

References

1. Silva C, Fonseca C, Ferreira R, et al. Depression in older adults during the COVID-19 pandemic: A systematic review.. Journal of the American Geriatrics Society. 2023. doi:10.1111/jgs.18363

2. Salari N, Hosseinian‐Far A, Jalali R, et al. Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis. Globalization and Health. 2020. doi:10.1186/s12992-020-00589-w

3. Rogers J, Chesney E, Oliver D, et al. Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: a systematic review and meta-analysis with comparison to the COVID-19 pandemic. The Lancet Psychiatry. 2020. doi:10.1016/s2215-0366(20)30203-0

4. Endrino LMB, García AB, Peña BG, Uclés-Torrente MDM, Aparicio-Martínez P. Efficacy of technology interventions in preventing depression among older adults experiencing social isolation: a systematic review and meta-analysis. Aging & Mental Health. 2025. doi:10.1080/13607863.2025.2585501

5. Janssen I, LeBlanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity. 2010. doi:10.1186/1479-5868-7-40

6. Bull F, Al-Ansari SS, Biddle S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British Journal of Sports Medicine. 2020. doi:10.1136/bjsports-2020-102955