Quality of life in euthymic patients with unipolar major depressive disorder and bipolar disorder

OR I G I N A L R E S E A R C H

Quality of life in euthymic patients with unipolar major depressive disorder and bipolar disorder

This article was published in the following Dove Press journal: Neuropsychiatric Disease and Treatment

Qijing Bo1–4,* Lu Tian1–4,* Feng Li1–4

Zhen Mao1–4

Zhimin Wang1–4

Xin Ma1–4

Chuanyue Wang1–4

1The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, People’s Republic of China; 2Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, People’s Republic of China; 3Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, People’s Republic of China; 4Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, People’s Republic of China

*These authors contributed equally to this work

Objective: This study aimed to compare quality of life (QOL) between patients with major

depressive disorder (MDD) in remission and patients with bipolar disorder (BD) in remis-

sion, and to explore the relationship between QOL and demographic, clinical, and cognitive

variables.

Methods: This study included 49 euthymic patients with MDD, 59 euthymic patients with

BD, and 52 healthy controls (HC). The 17-item Hamilton Depression Rating Scale (HAMD-

17), Hamilton Anxiety Rating Scale (HAMA), and Young Mania Rating Scale (YMRS) were

used to assess symptoms of depression, anxiety, and mania respectively. QOL was assessed

with the Chinese version of the World Health Organization Quality of Life Scale Brief

(WHOQOL-BREF). Cognitive function was assessed with the repeated neuropsychological

assessment scale (RBANS).

Results: Compared with HC, patients with MDD had lower overall and subdomain scores

(except ENVIR) on the WHOQOL-BREF (p<0.05). The BD group had decreased overall

WHOQOL-BREF scores and decreased PHYS and SOCIL subdomain scores (p<0.05).

PSYCH scores were lower in patients with MDD, compared with patients with BD

(p1 hr; (3)

history or current significant drug/alcohol abuse; and (4)

pregnancy.

The clinical research ethics committees of Beijing

Anding Hospital approved the study protocol. Each parti-

cipant provided his or her written informed consent.

Assessments Each participant’s socio-demographic data were collected

with a questionnaire designed for the study. All partici-

pants were diagnosed with Structured Clinical Interview

for DSM-IV-TR Axis I Disorder-patient Edition (SCID-I/

P).16,17 The 17-item Hamilton Depression Rating Scale

(HAMD-17),18 Hamilton Anxiety Rating Scale

(HAMA),19 and Young Mania Rating Scale (YMRS)20

were used to assess depressive, anxiety-related, and

manic symptoms, respectively. Therefore, QOL was

assessed with Chinese version of WHOQOL-BREF,

which had four subdomains: physical health (PHYS); psy-

chological health (PSYCH); social relationship (SOCIL)

and environment (ENVIR), the total score was

a comprehensive subjective score of overall QOL.21

Bo et al Dovepress

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DovePress Neuropsychiatric Disease and Treatment 2019:151650

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Neurocognitive functioning was assessed with the

Repeatable Battery for The Assessment of

Neuropsychological Status (RBANS),22,23 which has 5

domains (12 tests): attention (digital span, coding); language

(picture naming, semantic fluency); visuospatial/construc-

tional (figure copy, line orientation); immediate memory

(list learning, story memory); and delayed memory (list

recall, list recognition, story recall, figure recall). The raw

scores of each domain were summed to yield a total score

representing overall level of cognitive function. Executive

function was assessed with the Stroop Color Test (SCT). The

SCT consists of three conditions: word, color, and

interference.24 Under one set of conditions, total time

required to perform the task is used as a measure of perfor-

mance. For the word task (Sword time), the participant is

asked to read out the names of various color words, written in

black ink. For the color task (Scolor time), the participant is

asked to state the color of a block of colored ink. For the

interference task, the participant must determine the correct

word, despite conflicting information, in terms of letter color

(Dword time) and then must determine the correct color,

despite conflicting information, in terms of word meaning

(Dcolor time).

Procedure Sociodemographic data were obtained for all participants

included in the study. Eligible participants continued to

complete symptom scales, WHOQOL self-assessment

scales, and neurocognitive functions assessment. The self-

designed questionnaire used a unified instruction and fill in

a form. The subjects were completed independently.

Clinical assessments were completed by trained psychia-

trists. Inter-rater reliability remained within acceptable

limits.

Statistical analysis Data were entered using Epidata software version 3.1 and

were analyzed using SPSS 25.0 for Windows (SPSS, Inc.,

Chicago, IL, USA). The one-way ANOVA was used to

compare the demographic, clinical, QOL, and neuropsy-

chological tests among the three groups, Bonferroni cor-

rection was used to measure multiple group differences.25

QOL and cognitive function were subjected to analysis of

covariance with significant demographic variables. Chi-

Square test was used to analyze gender difference, marital

status, and current drugs using among the three groups.

Pearson or Spearman rank correlation analysis was per-

formed to measure the associations of QOL with socio-

demographic and clinical characteristics and performance

on other neurocognitive tests. Stepwise Multiple

Regression Analysis was used to identify factors that

were independently associated with QOL. For all analyses,

the level of statistical significance was set at p<0.05.

Results Demographic and clinical characteristics A total of 49 patients with MDD and 59 patients with BD in

remission, 52 HCs who met the study criteria entered the

study. The three groups did not differ with respect to gender,

educational level, marital status, or current use of drugs.

Members of the MDD group were significantly older than

those of the other two groups (F=8.96, p<0.001). In the

other hand, the patient groups did not differ with respect

to duration of illness, but the age at onset of illness and

recurrence times. In addition, patients showed significantly

higher scores of HAMD and HAMA than HC. Patients with

BD in remission scored higher on the YMRS than did

patients with MDD or HC. Table1 shows the demographics

characteristic and the score of HAMD-17, HAMA, YMRS.

Comparison of QOL and cognitive function among MDD and BD patients and HCs Compared with HC, the MDD group had lower scores for

the total WHOQOL-BREF and its subdomains (except

ENVIR) (p<0.05). The BD group had decreased scores

for WHOQOL-BREF overall, as well as the PHYS and

SOCIL subdomains (p<0.05). MDD patients scored sig-

nificantly lower on PSYCH than did BD patients (p<0.05).

Figure 1 presents differences in QOL domain scores

among the groups. Because age differed significantly

among groups, we used age as a covariate for analysis of

QOL. This had no impact on the results.

Performance differed among the three groups only for

tests of delayed memory in the RBANS subdomain

(p<0.05). However, after Bonferroni correction, this dif-

ference was not significant. Compared with the HC group,

the BD group had increased Scolor time on SCT (p<0.05).

When age was used as a covariate, the significance of the

result remained unchanged.

Variables associated with QOL among MDD and BD patients Table 2 shows the correlations between demographic and

clinical characteristics, neurocognitive function, and

Dovepress Bo et al

Neuropsychiatric Disease and Treatment 2019:15 submit your manuscript | www.dovepress.com DovePress

 

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  • Evaluate the article on the basis of your own thoughts and perspectives on the topic covered.

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Questions 3.16,3.18, 3.21, 3.36

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Propose a specific electronic health/medical records (EH/MR) program that is HIPAA compliant

The most important function of information technology (IT) for the managed care organization (MCO) is to support the business of the MCO. How the IT department aligns with the operational dynamics of the MCO is a vital management consideration. A well-functioning IT department will help the MCO reduce risk (i.e., costs). The IT department should design, implement, and operate the systems that run the MCO. Efficiency is the hallmark of a good system.
Your task as the manager of the MCO is to determine what the IT department in your organization should consist of, what its function will be, and what critical elements will be turned over to the IT department.

Describe the key elements of an information system for an MCO. What elements are different than for a physician office or group?
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Propose a specific electronic health/medical records (EH/MR) program that is HIPAA compliant. Describe the essential functions, costs, and projected savings for the MCO.
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