Cognitive trajectories in older adults and the role of depressive symptoms: A 7-year follow-up study.

OBJECTIVES: To examine different trajectories of cognitive changes in elderly adults and explore the mediating role of depressive symptoms. DESIGN: A 7-year, community-based, prospective cohort study. SETTING: The downtown neighborhood of Shanghai, China. PARTICIPANTS: A cohort of 394 older adults, with an average age of 71.8 years, was recruited in 2015 and has been reassessed every two years until 2021. METHODS: Latent Class Growth Analysis was used to model aging trajectories and Linear Mixed-Effect Models for Repeated Measures were used to estimate the least squares mean changes of cognition between subjects with depression (DEP+) and without (DEP-) across all visits. RESULTS: Three cognitive trajectories were identified: the "successful aging" (SA) trajectory had the best and most consistent performance (n=229, 55.9%); the "normal aging" (NA) trajectory showed lower but stable cognition (n=141, 37.3%); while the "cognitive decline" (CD) trajectory displayed poor and declining cognition (n=24, 6.8%). Depressive symptoms were found to be influential across all trajectories. In the CD trajectory, the MoCA scores of the DEP+ group increased in within-group comparisons and were significantly higher than those of the DEP- group at visits 1 and 3 in between-group comparisons. A similar trend was observed in the NA trajectory, though it did not reach statistical significance. CONCLUSIONS: Our research suggests that mild and decreasing depressive symptoms can be a reversible factor that might slow down the irreversible cognitive decline in the elderly. Therefore, we suggest that even mild depressive symptoms in the elderly should be monitored and detected.

Mindfulness-based interventions for breast cancer patients in China across outcome domains: a systematic review and meta-analysis of the Chinese literature.

OBJECTIVE: This study aims to evaluate the treatment effect of a mindfulness-based intervention for Chinese breast cancer patients across outcome domains, including symptom-related, psychosocial, and quality of life outcomes. METHODS: Following the Cochrane Systematic Review guideline, we searched across five electronic databases, reference lists of eligible studies, professional websites, and major academic journals in Chinese. Publication bias was assessed using funnel plot and Vevea and Woods sensitivity analysis, and risk of bias was evaluated using the revised Cochrane risk of bias tool for randomized trials and risk of bias in non-randomized studies of interventions. A meta-analysis of Hedges' g was conducted using meta-regression with robust variance estimation. RESULTS: Final analysis included a total of 45 controlled trials containing 286 effect size estimates. Across outcome domains, studies reported an overall large and statistically significant treatment effect, d = 0.921, 95% CI (0.805, 1.040), p < 0.001. Subgroup analyses of specific domains of outcome reported overall significant treatment effects for (1) symptom-related outcomes, d = 0.885, 95% CI (0.657, 1.110), p < 0.001; (2) psychosocial wellness outcomes, d = 0.984, 95% CI (0.879, 1.090), p < 0.001; and (3) quality of life, d = 0.990, 95% CI (0.776, 1.200), p < 0.001. Moderator analysis did not identify any significant moderator. CONCLUSION: Chinese literature reported an overall statistically significant and large treatment effect of a mindfulness-based intervention for breast cancer patients in China. Except for physical symptom outcomes, e.g., nausea/vomiting and pain, a mindfulness-based intervention was effective across outcome domains among Chinese breast cancer patients.