Determinates of depressive disorder among adult patients with cardiovascular disease at outpatient cardiac clinic Jimma University Teaching Hospital, South West Ethiopia: cross-sectional study

Abstract

Background Depression and heart disease are an important public-health problem. Depression is one of the most prevalent and disabling psychiatric disorders with more than three times increased risk among patients with cardiovascular disorders. Objective To identify the prevalence and associated factors of depressive disorder among adult patients with cardiovascular disease. Methods Institution based cross-sectional study design was used to conduct this study on 293 study participants attending an outpatient cardiac clinic at Jimma University Teaching Hospital. All eligible patients were recruited into the study consecutively. Depression was assessed using patient health questionnaire-9. The patient health questionnaire-9 had a total score of 27, from which 0–4: no/minimal depression, 5–9: mild depression, 10–14: moderately depression, 15–19: moderately severe depression and 20–27 severe depression. The data was feed into Epi-data version 3.1 and lastly exported to SPSS version 21 for analysis. Bivariate analysis was used to analyze the statistical association of covariates of interest with depressive disorder among patients with cardiovascular disease. Then, logistic regression analysis was used as a final model to control confounders. The strength of association was measured by a 95% confidence interval. Results A total of 293 adult patients diagnosed with the cardiovascular disease were included in the study with 97% (n = 284) of response rate, 47.2% (n = 134) males and 52.8% (n = 150) females, making female to a male ratio around 1.1:1. The prevalence of depression was 52.8% (n = 150/284). Out of the subjects with depression 52.67% (n = 79), 36.0% (n = 54) and 11.33% (n = 17) were mild, moderate and severe depression, respectively. Variables such as employed, unemployed, physical activity, current cigarette user and poor social support were independently associated with depression in the final model. Conclusions In this study, depression was found to be highly prevalent psychiatric comorbidity in adult cardiovascular disease patients.

A Multicenter Cross-Sectional Study on Assessment of Depression in Cardiac Patients

“…It was almost consistent with other studies—51%[ 11 ] and 52.8%. [ 12 ] The results of our study were different from previous studies. Less depression rates were observed in different studies—5.9%,[ 13 ] 14%,[ 14 , 15 ] 15%,[ 16 ] 19.9%,[ 17 ] 21.5%,[ 18 ] 23.8%,[ 19 ] 26.4%,[ 20 ] and 37%.…”

Determinan Stres, Ansietas, Dan Depresi Pada Pasien Penyakit Jantung Koroner Di Rsud DR Saiful Anwar Malang

“…Prevalensi kecemasan pada populasi pasien PJK juga cukup tinggi, yaitu berkisar antara 15.4% -67.5% (Allabadi et al, 2019;Bruyninx, 2020;Carvalho et al, 2016;Dhital, Sharma, Poudel, & Dhital, 2018;Edmealem, 2020;Nuraeni & Mirwanti, 2017;Siagian, 2016). Sebanyak 40% -52.9% pasien PJK pun melaporkan gejala depresi ringan hingga sangat berat (Allabadi et al, 2019;Bahall, 2019;Nuraeni & Mirwanti, 2017;Siagian, 2016;Umer, Negash, Birkie, & Belete, 2019). Kondisi ini menjadi salah satu faktor yang memperburuk prognosis PJK, meningkatkan biaya pengobatan, dan meningkatkan risiko terjadinya kematian (Meng et al, 2020;Umer et al, 2019).…”

“…Sebanyak 40% -52.9% pasien PJK pun melaporkan gejala depresi ringan hingga sangat berat (Allabadi et al, 2019;Bahall, 2019;Nuraeni & Mirwanti, 2017;Siagian, 2016;Umer, Negash, Birkie, & Belete, 2019). Kondisi ini menjadi salah satu faktor yang memperburuk prognosis PJK, meningkatkan biaya pengobatan, dan meningkatkan risiko terjadinya kematian (Meng et al, 2020;Umer et al, 2019).…”

“…Temuan ini lebih tinggi dibandingkan dengan studi sebelumnya. Studi yang dilakukan di beberapa negara dan di beberapa kota di Indonesia melaporkan sebanyak 40% -52.9% pasien PJK mengalami gejala depresi ringan hingga sangat berat (Allabadi et al, 2019;Bahall, 2019;Nuraeni & Mirwanti, 2017;Siagian, 2016;Umer et al, 2019).…”

Barriers in Accessing Social Welfare Benefits for Families of Children With Intellectual and Developmental Disorders in Rural Karnataka: A Situation Analysis

“…to understand the point of analysis (organization/policy/service delivery) from its macro- and microenvironment. 5 A situation analysis is the second and critical step based on which the objectives, budget, strategy, execution, and evaluation of service delivery or action research or social policy are developed. It helps in understanding social policy barriers related to opinions and experiences of stakeholders to detect the gaps between the current state and the desired state.…”