Jessica M Brooks1,2, Alexander J Titus3,4, Courtney A Polenick5, Nicole M Orzechowski6, Manney Carrington Reid7, Todd A MacKenzie8,9,10,11, Stephen J Bartels1,11, John A Batsis9,10,11. 1. Department of Psychiatry, Geisel School of Medicine and Centers for Health and Aging, Dartmouth College, Lebanon, NH, USA. 2. University of North Texas, Denton, TX, USA. 3. Program in Quantitative Biomedical Sciences, Dartmouth College, Lebanon, NH, USA. 4. Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA. 5. Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA. 6. Section of Rheumatology, Dartmouth-Hitchcock Medical Center and Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA. 7. Department of Medicine, Weill Cornell Medical College, New York, NY, USA. 8. Biomedical Data Science, Dartmouth College, Lebanon, NH, USA. 9. Department of Medicine, Dartmouth-Hitchcock Medical Center and Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. 10. The Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA. 11. Centers for Health and Aging, Lebanon, NH, USA.
Abstract
OBJECTIVE: Arthritis and depressive symptoms often interact and negatively influence one another to worsen mental and physical health outcomes. Better characterization of arthritis rates among older adults with different levels of depressive symptoms is an important step toward informing mental health professionals of the need to detect and respond to arthritis and related mental health complications. The primary objective is to determine arthritis rates among US older adults with varying degrees of depression. METHODS: Using National Health and Nutrition Examination Survey 2011 to 2014 data (N = 4792), we first identified participants aged ≥50 years. Measures screened for depressive symptoms and self-reported doctor-diagnosed arthritis. Weighted logistic regression models were conducted. RESULTS: Prevalence of arthritis was 55.0%, 62.9%, and 67.8% in participants with minor, moderate, and severe depression, respectively. In both unadjusted and adjusted regression models, a significant association between moderate depression and arthritis persisted. There were also significant associations between minor and severe depression with arthritis. CONCLUSIONS: Arthritis is commonly reported in participants with varying degrees of depression. This study highlights the importance of screening for and treating arthritis-related pain in older adults with depressive symptoms and the need for future geriatric psychiatry research on developing integrated biopsychosocial interventions for these common conditions.
OBJECTIVE:Arthritis and depressive symptoms often interact and negatively influence one another to worsen mental and physical health outcomes. Better characterization of arthritis rates among older adults with different levels of depressive symptoms is an important step toward informing mental health professionals of the need to detect and respond to arthritis and related mental health complications. The primary objective is to determine arthritis rates among US older adults with varying degrees of depression. METHODS: Using National Health and Nutrition Examination Survey 2011 to 2014 data (N = 4792), we first identified participants aged ≥50 years. Measures screened for depressive symptoms and self-reported doctor-diagnosed arthritis. Weighted logistic regression models were conducted. RESULTS: Prevalence of arthritis was 55.0%, 62.9%, and 67.8% in participants with minor, moderate, and severe depression, respectively. In both unadjusted and adjusted regression models, a significant association between moderate depression and arthritis persisted. There were also significant associations between minor and severe depression with arthritis. CONCLUSIONS:Arthritis is commonly reported in participants with varying degrees of depression. This study highlights the importance of screening for and treating arthritis-related pain in older adults with depressive symptoms and the need for future geriatric psychiatry research on developing integrated biopsychosocial interventions for these common conditions.
Authors: Jessica M Brooks; John Blake; Jennifer Sánchez; Elias Mpofu; Jia-Rung Wu; Xiangli Chen; Jonathan Nauser; Brandi P Cotton; Stephen J Bartels Journal: Community Ment Health J Date: 2019-05-16
Authors: Jessica M Brooks; Emre Umucu; Karen L Fortuna; M Carrington Reid; Kathlene Tracy; Lusine Poghosyan Journal: Aging Ment Health Date: 2020-12-09 Impact factor: 3.658