Muchi Ditah Chobufo1, Saad Khan2, Valirie Ndip Agbor3, Ebad Rahman2, Joyce Bei Foryoung4, Ayodeji Jolayemi5, Saikiran Jonnadula2, Neelkumar Patel2, Sostanie Enoru6, Alix Dufresne2, Tonga Nfor7. 1. Department of Medicine, Interfaith Medical Center, Brooklyn, NY, USA. Electronic address: ditahdivine@gmail.com. 2. Department of Medicine, Interfaith Medical Center, Brooklyn, NY, USA. 3. Nuffield Department of Population Health, University of Oxford, Oxford, UK. 4. Ministry of Public Health, Cameroon. 5. Department of Psychiatry, Interfaith Medical Center, Brooklyn, NY, USA. 6. Department of Cardiology, SUNY Downstate Medical Center, Brooklyn, NY, USA. 7. Aurora St Luke's Medical Center, Milwaukee, WI, USA.
Abstract
BACKGROUND: Heart failure (HF) constitutes a major public health problem in the USA with self-management playing a key role in treatment. Depressed patients often have poor insights which correlates with increased rates of adverse events such as emergency room visits, admissions and readmissions, length of hospital stay and mortality. AIM: To determine the prevalence, trends, and predictors of depression among community-based patients with HF in the USA, and its association with self-perceived health status. METHODS: Using the 2007 through 2016 NHANES data, we identified patients with HF aged 20-80 years with completed PHQ-9 depression screening questionnaire. PHQ-9 scores ≥10 were considered diagnostic for depression. The Chi square test was used for comparison of prevalence of depression between subgroups with p < 0.05 considered statistically significant. RESULTS: The prevalence of depression among community-based patients with HF was 17.3% and remained stable from 2007 through 2016. Female participants, persons <60years, individuals with low socioeconomic status, and never married individuals were more likely to be depressed, comparatively. After controlling for confounders, living in poverty was the lone predictor of depression with OR 5.1 (95% CI 1.4-17.9), compared to those with incomes ≥3 times the poverty threshold. Depressed individuals were more likely to report a poor health status (76.4%) compared to non-depressed individuals (45.9%), p < 0.001. CONCLUSION: Over 1 in 6 community-based patients with HF suffers from depression with women, individuals <60years, never married, and persons with low socioeconomic status shouldering a disproportionately higher burden.
BACKGROUND:Heart failure (HF) constitutes a major public health problem in the USA with self-management playing a key role in treatment. Depressedpatients often have poor insights which correlates with increased rates of adverse events such as emergency room visits, admissions and readmissions, length of hospital stay and mortality. AIM: To determine the prevalence, trends, and predictors of depression among community-based patients with HF in the USA, and its association with self-perceived health status. METHODS: Using the 2007 through 2016 NHANES data, we identified patients with HF aged 20-80 years with completed PHQ-9 depression screening questionnaire. PHQ-9 scores ≥10 were considered diagnostic for depression. The Chi square test was used for comparison of prevalence of depression between subgroups with p < 0.05 considered statistically significant. RESULTS: The prevalence of depression among community-based patients with HF was 17.3% and remained stable from 2007 through 2016. Female participants, persons <60years, individuals with low socioeconomic status, and never married individuals were more likely to be depressed, comparatively. After controlling for confounders, living in poverty was the lone predictor of depression with OR 5.1 (95% CI 1.4-17.9), compared to those with incomes ≥3 times the poverty threshold. Depressed individuals were more likely to report a poor health status (76.4%) compared to non-depressed individuals (45.9%), p < 0.001. CONCLUSION: Over 1 in 6 community-based patients with HF suffers from depression with women, individuals <60years, never married, and persons with low socioeconomic status shouldering a disproportionately higher burden.
Authors: Nqoba Tsabedze; Jamie-Leigh Hayes Kinsey; Dineo Mpanya; Vanessa Mogashoa; Eric Klug; Pravin Manga Journal: Int J Ment Health Syst Date: 2021-05-12
Authors: Robert M Califf; Celeste Wong; P Murali Doraiswamy; David S Hong; David P Miller; Jessica L Mega Journal: J Gen Intern Med Date: 2021-08-17 Impact factor: 6.473