Factors associated with subjective quality of life in Korean patients with depressive disorders: the CRESCEND study (original) (raw)
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Journal of Psychosomatic Research, 2018
Patients with chronic physical diseases often have concomitant depression. Depression influences an individual's health and his or her overall health-related quality of life (HRQoL). The extent to which depression incrementally worsens HRQoL in patients with ≥1 comorbid physical chronic diseases remains unclear. Methods: This cross-sectional study is based on data of 50,844 respondents (age, ≥19 years) who participated in the Korean National Health and Nutrition Examination Survey (KNHANES) (2007-2015). HRQoL was measured using the modified EuroQol five-dimensional (EQ-5D) score. Mean HRQoL scores were compared between subgroups of respondents with or without depression. The association between HRQoL and disease status was evaluated using multiple regression models after controlling for sociodemographic variables. Results: HRQoL score decreased when depression was concomitant. HRQoL score of respondents who had ≥3 chronic diseases with concomitant depression (mean = 0.83, SE = 0.010) were significantly lower (p = 0.002) than those of respondents who had ≥3 chronic diseases but no concomitant depression (mean = 0.87, SE = 0.007). Moreover, respondents with ≥3 chronic diseases comorbid with depression showed the largest negative association (coefficient = −0.133, p < 0.001) with HRQoL among all disease status groups. Conclusion: Presence of depression incrementally worsened individual's HRQoL when comorbid with other physical diseases. Especially, depression showed substantial negative effect on HRQoL level in patients with ≥2 physical diseases.
Psychiatry investigation, 2011
The Clinical Research Center for Depression (CRESCEND) study is a 9-year observational collaborative prospective cohort study for the clinical outcomes in participants with depressive disorders in Korea. In this study, we examined the baseline characteristics of the depressive participants as the hospital-based cohort. Participants were assessed using various instruments including the Clinical Global Impression scale, 17-item Hamilton Depression Rating Scale (HDRS-17), Hamilton Anxiety Rating Scale, Brief Psychiatric Rating Scale, Social and Occupational Functioning Assessment Scale, Beck Depression Inventory-Second Edition, Scale for Suicide Ideation, and World Health Organization Quality of Life assessment instruments-abbreviated version. Also, personal histories of medical and psychiatric illnesses and the range of socio-epidemiologic and clinical data were collected from each participant. One thousand one hundred eighty three participants were recruited from 18 hospitals. The me...
The Kaohsiung journal of medical sciences, 2015
Although major depressive disorder (MDD) has a variety of symptoms beyond the affective dimensions, the factor structure and contents of comprehensive psychiatric symptoms of this disorder have rarely been explored using the 18-item Brief Psychiatric Rating Scale (BPRS). We aimed to identify the factor structure of the 18-item BPRS in Korean MDD patients. A total of 258 MDD patients were recruited from a multicenter sample of the Clinical Research Center for Depression of South Korea study. Psychometric scales were used to assess overall psychiatric symptoms (BPRS), depression (Hamilton Depression Rating Scale), anxiety (Hamilton Anxiety Rating Scale), global severity (Clinical Global Impression of Severity Scale), suicidal ideation (Scale for Suicide Ideation), functioning (Social and Occupational Functioning Assessment Scale), and quality of life (World Health Organization Quality of Life Assessment-abbreviated version). Common factor analysis with oblique rotation was used to yie...
Evaluation of Quality of Life Impairment in Depressive Patients
Depression has now become an universal health problem and the outcome of such disorder is physical, psychological, mental and social problems. Several studies have shown that depression results in impairment in the quality of life leading to decreased work performance, The purpose of this study is to find out the association between the levels of depression by scoring systems and the degree of impairment with the quality of life. This prospective study was carried out as part of a doctoral research in a prominent yoga centre in the city from January 2012 to July 2013. 34 subjects, both males and females in the age group 18 – 60 years, who sought yoga treatment for depression, who scored greater than 8 points with Becks depression inventory and signed informal consent were enrolled for this study. The quality of life score were collected using SF – 36 questionnaire. Becks depression scores and demographic details were used for statistical analysis using SPSS version 17.0 software. Pearson correlation coefficient analysis gave r values of -0.582 and -0.585 between depression and physical and mental health respectively and the p values was < 0.05 for both parameters. This study shows that quality of life is significantly affected by depression. The negative correlation reveals that the quality of life decreases as depression increases and mental health is more affected than physical health.
Sociodemographic determinants of quality of life among patients with major depressive disorders
Jos Journal of Medicine, 2017
Background: Improving Quality of Life (QOL) is the ultimate goal of treatment for patients with depression. A large store of studies have shown that depression affects the overall quality of life of patients due to its negative impact on mood, energy and pleasure. Though the effects of depression is well documented, evidence also revealed that sociodemographic variables such as age, gender, education, income etc. may also predict quality of life. The aim of the study was to determine the impact of sociodemographic factors on the quality of life depressed patients and also to assess the predictors of patients' subjective QOL. The aim of this study is to determine the impact of sociodemographic factors on the quality of life of depressed patients, and also to determine the predictors of patients' subjective QOL. Methodology: This is a cross-sectional study of depressed outpatients over a period of 6 months. Sociodemographic variables was obtained using a self-reported question...
Comparison of Quality of Life Measures in a Depressed Population
Journal of Nervous & Mental Disease, 2007
Measures of quality of life have been increasingly used in clinical trials. When designing a study, researchers must decide which quality of life measure to use. Some literature provides guidance through general recommendations, though lacks quantitative comparisons. In this report, 2 general quality of life measures, the 12-Item Short Form Health Survey (SF-12) and the Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q), are compared in a depressed population. STAR*D data were used to analyze the associations among the SF-12 and the Q-LES-Q. Each measure covers 6 domains, overlapping on 5 (health, self-esteem/ well-being, community/productivity, social/love relationships, leisure/creativity), with the SF-12 addressing family and the Q-LES-Q addressing living situations. Strong item-by-item associations exist only between the Q-LES-Q and the SF-12 physical health items. The 2 measures overlap on the domains covered while the lack of correlation between the 2 measures may be attributed to the perspective of each question as the Q-LES-Q measures satisfaction while the SF-12 measures the patient's perception of function.
Development of the Korean versions of WHO Quality of Life scale and WHOQOL-BREF
Quality of Life Research, 2002
The purpose of this study was to develop the Korean version of World Health Organization Quality of Life study assessment instrument (WHOQOL) and WHOQOL-BREF, an abbreviated version of WHOQOL and to identify contributing factors in the quality of life of Koreans. The WHOQOL and WHOQOL-BREF were translated into colloquial Korean according to instructions of the WHOQOL study group. Then the Korean questionnaire was applied to 538 subjects, composed of 171 medical patients and 367 healthy subjects who volunteered to rate the scale. Finally, 486 subjects completed the rating. Collected data were analyzed statistically. The Korean version of WHOQOL and WHOQOL-BREF domain scores demonstrated good test-retest reliability, internal consistency, criterion validity, content validity and discriminant validity. The physical, psychological, social and environmental domains made a significant contribution to explaining the variance in the quality of life while the independence and spiritual domains made a lesser contribution. The domain scores produced by the WHOQOL-BREF correlated highly with the WHOQOL. The physical health domain contributed most in overall quality of life, while the social domain made the least contribution. These results suggest that the Korean version of WHOQOL and WHOQOL-BREF are valid and reliable in the assessment of quality of life and that physical domain is contributing most and social and spiritual factors are contributing least to the quality of life in Koreans.
Quality of Life Research, 2011
Objective To compare the quality of life valuation of a hypothetical depression health state between a general population versus a depressive patient population, and within a patient population. Method In a self-administered Internet questionnaire, both patient and general population groups filled in the Euroqol 5D (EQ-5D) questionnaire for a hypothetical depression health state describing mild (N = 740), moderate (N = 691), or severe (N = 670) depression and valued it using a rating scale (RS). The 'patient' group consisted of people reporting depressive complaints on the Internet questionnaire, subdivided into three depression severity groups (mild, moderate, severe) based on the Beck Depression Inventory Second Edition (BDI-II) and two groups according to self-perceived duration (B3 months, C4 months) of depressive complaints (SPDD). Results Significant differences were found between the patient and general population and within the patient population on RS outcomes and on the Euroqol domains usual activities, pain/discomfort, and anxiety/depression. The direction of the differences shows that subgroups with higher severity or longer duration of depressive complaints value depression health states worse compared with subgroups with less severe complaints, a shorter duration, or no depressive complaints. Moreover, the discrepancy in valuation of a health state between different subgroups changes according to the severity of the health state described. Conclusion There are discrepancies in the valuation of a hypothetical depression health state between a patient and general population, whereby depression leads to a worse valuation. But also within the patient population, the valuation differs according to depression severity and duration. Identification with the hypothetical health state description might explain the varying differences found between subgroups for the different hypothetical health state descriptions.