| Autor: |
Krok-Schoen JL; Division of Health Sciences, School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, Ohio, USA., Nikahd M; Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA., Hyer M; Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA., Felix AS; Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio, USA., Nolan TS; Division of Preventive Medicine, Heersink School of Medicine, The University of Alabama, Birmingham, Alabama, USA., Ridgway-Limle EA; Ben Franklin TB Program, Columbus Public Health, Columbus, Ohio, USA., Xu M; Department of Internal Medicine, The James Comprehensive Cancer Center, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio, USA., Quick AM; Department of Radiation Oncology, The James Comprehensive Cancer Center, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio, USA., Paoletta C; Division of Health Sciences, School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, Ohio, USA., Horn M; Division of Health Sciences, School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, Ohio, USA., Arthur EK; Nursing Research, The James Comprehensive Cancer Center, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio, USA. |
| Abstrakt: |
Despite frequent reports of mental health needs among older women with cancer, depressive symptoms often go unrecognized and untreated, particularly in socially vulnerable survivors. Here, we examined associations of sociodemographic factors and social limitations with depressive symptoms from pre-diagnosis to post-diagnosis in older women diagnosed with breast or gynecological cancer. Using the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) linked dataset, we used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between sociodemographic factors (race, ethnicity, marital status, rurality) and social limitations (i.e., health interfering with social activities) on depressive symptoms in women aged ≥65 years with breast or gynecologic cancer ( n = 1,353). Most participants had breast cancer (82.0%), stage I-II cancer (85.8%), received surgery for their cancer (94.8%), and radiation treatment (50.6%). Prior to diagnosis, 11.8% reported depressive symptoms, which nearly doubled to 22.4% at follow-up. Participants were 2.7 times more likely of reporting depressive symptoms after cancer diagnosis compared with pre-cancer diagnosis (95%CI: 2.10-3.48). Race, ethnicity, rurality, marital status, and social interference were significantly associated with an increased risk of depressive symptoms after cancer diagnosis than before their cancer diagnosis ( p < 0.05). In summary, depressive symptoms increased following a cancer diagnosis. Our results suggest potential avenues for intervention that could lead to reduced depressive symptoms among older female cancer survivors. |
