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Open Access 07.02.2025 | Research

Mental health status and associated factors of caregivers of patients with malignant brain tumors

verfasst von: Kaori Sakurada, Iori Sato, Mari Ikeda, Yoshitaka Narita

Erschienen in: Journal of Neuro-Oncology

Abstract

Purpose

Caregivers of patients with brain tumors play an essential role in treatment and symptom relief; however, this responsibility often results in a substantial and prolonged burden, negatively impacting caregivers’ health and quality of life. This study aimed to evaluate the mental health status of caregivers of patients with malignant brain tumors and identify factors influencing mental health outcomes.

Methods

We analyzed data from the National Survey on the Needs and Support of Brain Tumor Patients and Caregivers, conducted by the research group on the Needs and Support of Brain Tumor Patients and their Caregivers in 2023. The study protocol was approved by the Research Ethics Review Committee of the National Cancer Center (approval No.: 2022 − 430). A total of 115 caregivers (36 male and 79 female) participated in the study. Depression risk was assessed using the Distress and Impact Thermometer.

Results

Fifty caregivers (43.4%) were classified into the suspected depression group. Factors significantly associated with an increased risk of depression after multivariate adjustment included “being tired of caring for others” and “being diagnosed with a brain tumor within 2 years.”

Conclusion

Caregivers of patients with brain tumors face considerable mental health challenges, with a notable proportion at risk of depression. Targeted interventions, particularly for those recently assuming caregiving roles and experiencing fatigue, are essential for improving their mental health and overall quality of life.
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Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s11060-025-04963-9.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Caregivers of patients with cancer play a crucial role in patient care and symptom management, yet the associated demands can significantly impact their health and quality of life (QOL). Studies indicate that these caregivers’ mental health tends to be more impaired than their physical health [1, 2]. Research on depression among such caregivers is extensive, with Geng et al. [3] reporting that 42.30% experience symptoms of both depression and anxiety. Factors positively associated with caregiver depression and anxiety include the patient’s condition, caregiver burden, caregiving duration, being the patient’s spouse, avoidance behaviors, financial strain, female sex, and age. Conversely, factors negatively correlated with depression and anxiety include higher overall QOL, pre-loss grief, education level, age, a strong sense of coherence, and a close caregiver–patient bond.
Various tools are used to assess caregivers’ mental health, including the Beck Depression Inventory, the Center for Epidemiological Studies Depression (CES-D) scale, the Hospital Anxiety and Depression Scale (HADS), and the Distress and Impact Thermometer (DIT). The DIT, a simple tool developed in Japan, has shown excellent screening capabilities, with a sensitivity and specificity of 0.82, enabling effective identification of suspected adjustment disorders or depression [4]. Asai et al. [5] utilized the DIT to assess caregivers’ mental health status over time. They found that 36% of caregivers visiting outpatient palliative care clinics were suspected of having an adjustment disorder or depression on their first visit. This rate decreased to 27% and 32% at 6 and 13 months following the patient’s death, respectively.
Forst et al. [6] investigated distress and anxiety in caregivers of patients with malignant brain tumors using the HADS and found that 48.3% reported anxiety, while 26.3% experienced distress. Factors linked to anxiety and distress included male sex, higher caregiver burden, caregiver anxiety, patient depression, and caregiving for younger patients. Russell et al. [7] found that caregiver strain and low patient functional well-being contributed to distress in caregivers of long-term survivors of high-grade glioma (HGG) [3].
Although numerous studies have examined the mental health and associated factors of caregivers of patients with malignant brain tumors, the mental health status and influencing factors among caregivers in Japan have not been thoroughly investigated. Therefore, this study aims to assess the mental health status of caregivers of patients with malignant brain tumors using the DIT and to explore the factors influencing their mental health.

Materials and methods

Participants

Study participants included caregivers aged 18 years or older of patients with brain tumors. Caregivers were defined as family members, partners, and acquaintances responsible for providing care to patients with brain tumors.

Survey method and period

This study was a secondary analysis of data from the “National Survey on the Needs and Support of Brain Tumor Patients and Caregivers,” a web-based questionnaire conducted by the research group on the Needs and Support of Brain Tumor Patients and Caregivers between April and December 2023 (http://​scbtp1.​umin.​jp/​questionnaire.​html).

Survey items

The survey items were tailored to address the unique context of caregivers for patients with malignant brain tumors in consultation with family nursing experts and specialists in brain tumor treatments. Patients and caregivers answered multiple-choice questions encompassing sociodemographic factors, such as age, sex, relationship with the patient, cohabitation status, diagnosis, symptoms, and employment status.
Caregivers responded to the questions shown in Table 3 and supplement material.
The Japanese version of the EuroQoL-5 Dimension-5 Level (EQ-5D-5 L) was used to assess caregiver and patient health status on a 5-point Likert scale, allowing respondents to evaluate health-related QOL from their perspective [8]. Health-related QOL utility scores were subsequently calculated from these responses.
Caregivers’ mental health status was evaluated using the DIT developed by the Psycho-Oncology Group at the National Cancer Center. Distress levels and their impact on daily life were assessed from 0 to 10. A distress score of ≥ 4 and an impact score of ≥ 3 were used as cut-off points to detect adjustment disorder or depression. Caregivers meeting these criteria were classified as the “suspected depression group,” while those below these thresholds were categorized as the “non-suspected depression group.”
Comparisons of categorical variables between these two groups were performed using the chi-square test, whereas continuous variables were analyzed using the t-test. Additionally, factors influencing the likelihood of suspected depression were examined through nominal logistic regression analysis. Statistical significance was set at P < 0.05. All statistical analyses were conducted using JMP pro 17 (JMP Statistical Discovery LLC, NC, USA).

Results

Of the 118 caregivers of patients with malignant brain tumors, 115 with complete data were included in the analysis.

Caregiver and patient characteristics

Table 1 presents the caregiver characteristics. Caregiver mental health status, assessed using the DIT, revealed a median distress score of 4 (range: 0–10), with 68 caregivers (59.1%) scoring ≥ 4. The median level of inconvenience was 3 (range: 0–10), with 58 caregivers (50.0%) scoring ≥ 3. Fifty caregivers (43.4%) were classified into the suspected depression group, with a distress score ≥ 4 and an inconvenience score ≥ 3. The median EQ-5D-5 L utility score was 0.87 points (range: 0.53–1.00).
Table 1
Caregiver characteristics
  
n
%
Sex
Male
36
31.3%
 
Female
79
68.7%
Age (years)
20s
1
0.9%
 
30s
13
11.3%
 
40s
24
20.9%
 
50s
36
31.3%
 
60s
26
22.6%
 
70s
14
12.2%
Relationship
Spouse/partner
68
59.1%
 
Parent
25
21.7%
 
Child
17
14.8%
 
Sibling
4
3.5%
 
Other (cousin, etc.)
1
0.9%
Living together
Yes
97
84.3%
 
No
18
15.7%
Employment status within 1 week
Employed
62
53.9%
 
Housework
30
26.1%
 
Unemployed
17
14.8%
 
Suspension from work
5
4.3%
 
Suspension from work (looking for a job)
1
0.9%
Having any problems caring for the patient
Yes
78
66.7%
 
No
36
30.8%
Degree of distress
Median (range)
4
0–10
 
≥ 4
68
59.1%
Degree of impact
Median (range)
3
0–10
 
≥ 3
58
50.0%
Depression suspected (distress ≥ 4 and impact ≥ 3)
 
50
43.4%
EQ-5D-5 L utility score
Median (range)
0.87
0.53–1.00
Table 2 displays the characteristics of the care recipient (patient). Among them, 71 (61.7%) were men, and 44 (38.3%) were women; 49 (42.6%) were diagnosed with glioblastoma, and 28 (24.3%) had grade 3 gliomas. Their median EQ-5D-5 L utility score was 0.71 points (range: 0.03–1.00).
Table 2
Patient characteristics
  
n
%
Sex
Male
71
61.7%
 
Female
44
38.3%
Age (years)
≤ 9
2
1.7%
 
10s
9
7.8%
 
20s
14
12.2%
 
30s
6
5.2%
 
40s
17
14.8%
 
50s
17
14.8%
 
60s
27
23.5%
 
70s
18
15.7%
 
80s
5
4.3%
Diagnosis
Glioblastoma
49
42.6%
 
Glioma WHO grade 3
28
24.3%
 
Glioma WHO grade 2
12
10.4%
 
Brain stem glioma
3
2.6%
 
Primary central nervous system lymphoma
4
3.5%
 
Metastatic brain tumor
5
4.3%
 
Other
14
12.2%
Disease condition
Recurrence/progression
28
24.6%
 
Stable but undergoing treatment
30
26.3%
 
Stable and under observation
27
23.7%
 
Cured and under observation
22
19.3%
 
I do not know
7
6.1%
Mobility
No problem with walking
52
45.6%
 
Slight problem with walking
17
14.9%
 
Moderate problem with walking
14
12.3%
 
Severe problem with walking
16
14.0%
 
Unable to walk
16
14.0%
Usual activity
No problem performing usual activities
35
30.7%
 
Slight problem performing usual activities
31
27.2%
 
Moderate problem performing usual activities
16
14.0%
 
Severe problem performing usual activities
17
14.9%
 
Unable to perform usual activities
15
13.2%
EQ-5D-5 L utility score
Median (range)
0.71
0.03–1.00

Comparison between suspected and non-suspected depression groups

Table 3 compares caregiver and patient characteristics between the suspected and non-suspected depression groups. Significant differences were observed in several caregiver-related factors, including “age,” “overall feelings about current life,” “whether they have worries or stress in daily life,” “whether they have any difficulties in caring for the patient,” “whether they are tired from assisting and caring for the patient,” and the response to “Are you tired of providing care or nursing care?” Additionally, significant differences were noted in “caregiver’s health-related QOL scores.”
Table 3
Comparison between the suspected and non-suspected depression groups
   
Non-depression suspected
Depression suspected
P value
 
   
n = 65
n = 50
 
Caregiver-related factors
Sex (n, %)
Male
24 (36.9)
12 (24.0)
0.159
 
  
Female
41 (63.1)
38 (76.0)
  
 
Age, years (n, %)
20s
1 (1.6)
0 (0.0)
0.013
*
  
30s
4 (6.2)
9 (18.0)
  
  
40s
8 (12.5)
16 (32.0)
  
  
50s
23 (35.9)
13 (26.0)
  
  
60s
17 (26.6)
9 (18.0)
  
  
70s
11 (17.2)
3 (6.0)
  
 
Relationship to the patient (n, %)
Spouse/partner
41 (63.1)
27 (54.0)
0.706
 
  
Parent
14 (21.5)
11 (22.0)
  
  
Child
8 (12.3)
9 (18.0)
  
  
Sibling
2 (3.1)
2 (4.0)
  
  
Other (cousin, etc.)
0 (0.0)
1 (2.0)
  
 
Living together (n, %)
Yes
56 (86.2)
41 (82.0)
0.609
 
  
No
9 (13.8)
9 (18.0)
  
 
Number of people living together (n, %)
1
8 (12.5)
11 (22.0)
0.166
 
  
2
21 (32.8)
13 (26.0)
  
  
3
23 (35.9)
10 (20.0)
  
  
4
8 (12.5)
13 (26.0)
  
  
5
2 ( 3.1)
2 ( 4.0)
  
  
6
2 ( 3.1)
1 ( 2.0)
  
 
Employment status within 1 week (n, %)
Employed
37 (56.9)
25 (50.0)
0.233
 
  
Housework
19 (29.2)
11 (22.0)
  
  
Unemployed
8 (12.3)
9 (18.0)
  
  
Suspension from work
0 (0.0)
1 (2.0)
  
  
Suspension from work (looking for a job)
1 (1.5)
4 (8.0)
  
 
Current health condition (n, %)
Good
10 (15.4)
6 (12.0)
0.088
 
  
Fine
24 (36.9)
10 (20.0)
  
  
Average
25 (38.5)
22 (44.0)
  
  
Not so good
6 (9.2)
11 (22.0)
  
  
Bad
0 (0.0)
1 (2.0)
  
 
“How do you feel about your current life overall?” (n, %)
Very comfortable
1 (1.6)
0 (0.0)
< 0.001
**
  
Somewhat comfortable
12 (18.8)
4 (8.2)
  
  
Average
32 (50.0)
13 (26.5)
  
  
Somewhat difficult
17 (26.6)
18 (36.7)
  
  
Very difficult
2 ( 3.1)
14 (28.6)
  
 
“Are you a key person?” (n, %)
Yes
61 (96.8)
45 (90.0)
0.135
 
  
No
2 (3.2)
5 (10.0)
  
 
“Do you currently have any worries or stress in your daily life?” (n, %)
Yes
43 (66.2)
45 (90.0)
0.004
**
  
No
22 (33.8)
5 (10.0)
  
 
“Do you have any problem in caring for your patient?” (n, %)
Yes
37 (56.9)
41 (83.7)
0.002
**
  
No
28 (43.1)
8 (16.3)
  
 
“Do you think you can provide adequate care and nursing care to the patient?” (n, %)
Yes
29 (46.8)
12 (24.5)
0.068
 
  
Can’t say either
19 (30.6)
19 (38.8)
  
  
Don’t agree
7 (11.3)
12 (24.5)
  
  
Don’t know
7 (11.3)
6 (12.2)
  
 
“Are you satisfied with the assistance and care you provide to your patient?” (n, %)
Yes
7 (11.5)
4 (8.2)
0.910
 
  
Can’t say either
25 (41.0)
19 (38.8)
  
  
Don’t agree
18 (29.5)
17 (34.7)
  
  
Don’t know
11 (18.0)
9 (18.4)
  
 
“Are you tired of caring and nursing?”, (n, %)
Yes
14 (23.3)
25 (51.0)
0.001
**
  
Can’t say either
16 (26.7)
15 (30.6)
  
  
Don’t agree
18 (30.0)
3 (6.1)
  
  
Don’t know
12 (20.0)
6 (12.2)
  
 
“Are you able to share your worries with your family (including the patient)?” (n, %)
Yes
28 (43.1)
22 (44.0)
0.837
 
  
Can’t say either
19 (29.2)
12 (24.0)
  
  
Don’t agree
13 (20.0)
13 (26.0)
  
  
Don’t know
5 (7.7)
3 (6.0)
  
 
“Do you think the medical expenses are reasonable?” (n, %)
Yes
28 (43.1)
24 (48.0)
0.622
 
  
Can’t say either
20 (30.8)
16 (32.0)
  
  
Don’t agree
8 (12.3)
7 (14.0)
  
  
Don’t know
9 (13.8)
3 (6.0)
  
 
“Did the patient have sufficient medical insurance?” (n, %)
Yes
25 (38.5)
15 (30.0)
0.078
 
  
Can’t say either
10 (15.4)
18 (36.0)
  
  
Don’t agree
27 (41.5)
16 (32.0)
  
  
Don’t know
3 (4.6)
1 (2.0)
  
 
“Are you worried about the medical expenses of the patient?” (n, %)
Yes
29 (44.6)
21 (42.0)
0.786
 
  
Can’t say either
16 (24.6)
16 (32.0)
  
  
Don’t agree
18 (27.7)
11 (22.0)
  
  
Don’t know
2 (3.1)
2 (4.0)
  
 
“Do you think the treatment is doctor-led?” (n, %)
Yes
51 (79.7)
39 (78.0)
0.970
 
  
Can’t say either
7 (10.9)
5 (10.0)
  
  
Don’t agree
5 (7.8)
5 (10.0)
  
  
Don’t know
1 (1.6)
1 (2.0)
  
 
“Do you think the opinions of the patient and yourself are reflected in the treatment?” (n, %)
Yes
50 (79.4)
31 (63.3)
0.204
 
  
Can’t say either
5 (7.9)
10 (20.4)
  
  
Don’t agree
4 (6.3)
4 (8.2)
  
  
Don’t know
4 (6.3)
4 (8.2)
  
 
“Do you think healthcare professionals work together to provide treatment?” (n, %)
Yes
50 (79.4)
31 (64.6)
0.160
 
  
Can’t say either
4 (6.3)
9 (18.8)
  
  
Don’t agree
5 (7.9)
6 (12.5)
  
  
Don’t know
4 (6.3)
2 (4.2)
  
 
“Do you understand the patient’s illness well?” (n, %)
Fully understands
25 (38.5)
21 (42.0)
0.622
 
  
Understands
38 (58.5)
29 (58.0)
  
  
Does not understand much
0 (0)
0 (0)
  
  
Does not understand enough
2 (3.1)
0 (0.0)
  
 
“Are you satisfied with the doctor’s outpatient examination and explanation?” (n, %)
Very satisfied
18 (28.1)
15 (30.6)
0.332
 
  
Satisfied
38 (59.4)
23 (46.9)
  
  
Not very satisfied
6 (9.4)
10 (20.4)
  
  
Not satisfied
2 (3.1)
1 (2.0)
  
 
“To what extent are you satisfied with the information you have been given?” (n, %)
Very satisfied
0 (0)
0 (0)
0.117
 
  
Satisfied
28 (44.4)
14 (28.0)
  
  
Not satisfied
20 (31.7)
25 (50.0)
  
  
Don’t know
15 (23.8)
11 (22.0)
  
 
“Are you well informed about the treatment of brain tumors?” (n,%)
Well informed
5 (7.8)
3 (6.0)
0.873
 
  
Fairly well informed
48 (75.0)
37 (74.0)
  
  
Not well informed
10 (15.6)
8 (16.0)
  
  
Not at all informed
1 (1.6)
2 (4.0)
  
 
Caregiver’s EQ-5D-5 L utility score
Median [range]
0.89 [0.71, 1.00]
0.82 [0.53, 1.00]
< 0.001
**
Patient-related factors
Patient’s sex (n, %)
Male
39 (60.0)
32 (64.0)
0.702
 
  
Female
26 (40.0)
18 (36.0)
  
 
Patient’s age, years (n, %)
 9
0 (0.0)
2 (4.0)
0.381
 
  
10s
3 (4.6)
6 (12.0)
  
  
20s
9 (13.8)
5 (10.0)
  
  
30s
3 (4.6)
3 (6.0)
  
  
40s
9 (13.8)
8 (16.0)
  
  
50s
8 (12.3)
9 (18.0)
  
  
60s
19 (29.2)
8 (16.0)
  
  
70s
10 (15.4)
8 (16.0)
  
  
80s
4 (6.2)
1 (2.0)
  
 
People who live with the patient (n, %)
Lives alone
2 (3.1)
2 (4.0)
0.928
 
  
Other(s)
1 (1.5)
0 (0.0)
  
  
Sibling(s)
0 (0.0)
1 (2.0)
  
  
Child/children
0 (0.0)
2 (4.0)
  
  
Spouse
25 (38.5)
18 (36.0)
  
  
Spouse, other
1 (1.5)
0 (0.0)
  
  
Spouse, Child/children
18 (27.7)
14 (28.0)
  
  
Spouse, Child/children, Other(s)
2 (3.1)
1 (2.0)
  
  
Spouse, Child/children, Parent(s)
1 (1.5)
0 (0.0)
  
  
Spouse, parent(s)
1 (1.5)
1 (2.0)
  
  
Parent(s)
7 (10.8)
4 (8.0)
  
  
Parent(s), other
0 (00)
0 (0.0)
  
  
Parent(s), sibling(s)
7 (10.8)
7 (14.0)
  
 
Diagnosis (n, %)
Glioblastoma
26 (40.0)
23 (46.0)
0.327
 
  
Glioma WHO grade 3
20 (30.8)
8 (16.0)
  
  
Glioma WHO grade 2
7 (10.8)
5 (10.0)
  
  
Brain stem glioma
0 (0.0)
3 (6.0)
  
  
Primary central nervous system Lymphoma
3 (4.6)
2 (4.0)
  
  
Metastatic brain tumor
2 (3.1)
2 (4.0)
  
  
Other
7 (10.8)
7 (14.0)
  
 
Time since the patient was diagnosed (n, %)
< 6 months
5 (7.7)
7 (14.0)
0.006
**
  
6 months < 1 year
7 (10.8)
10 (20.0)
  
  
1 year < 2 years
8 (12.3)
17 (34.0)
  
  
2 years < 5 years
22 (33.8)
9 (18.0)
  
  
5 years < 10 years
13 (20.0)
4 (8.0)
  
  
≥ 10 years
10 (15.4)
3 (6.0)
  
 
Current disease condition (n,%)
Recurrence/progression
9 (14.1)
19 (38.0)
0.002
**
  
Stable but undergoing treatment
15 (23.4)
15 (30.0)
  
  
Stable and under observation
17 (26.6)
10 (20.0)
  
  
Cured and under observation
19 (29.7)
3 (6.0)
  
  
Don’t know
4 (6.2)
3 (6.0)
  
 
“‘Do you think the patient has important people other than family who listen to their problems and suffering?” (n, %)
No
16 (25.4)
22 (44.9)
0.044
*
  
Yes
47 (74.6)
27 (55.1)
  
 
“Do you think the patient is able to share their problems and sufferings with healthcare professionals?” (n, %)
Yes
21 (32.8)
9 (18.0)
0.088
 
  
Can’t say either
21 (32.8)
20 (40.0)
  
  
Don’t agree
12 (18.8)
17 (34.0)
  
  
Don’t know
10 (15.6)
4 (8.0)
  
 
“Do you think the patient is able to share their problems and sufferings with their families?” (n, %)
Yes
36 (56.2)
20 (40.0)
0.158
 
  
Can’t say either
12 (18.8)
18 (36.0)
  
  
Don’t agree
7 (10.9)
7 (14.0)
  
  
Don’t know
9 (14.1)
5 (10.0)
  
 
“Are patients satisfied with the support they receive from doctors in the outpatient clinic?” (n, %)
Very satisfied
16 (25.0)
9 (18.8)
0.567
 
  
Satisfied
39 (60.9)
29 (60.4)
  
  
Not very satisfied
9 (14.1)
9 (18.8)
  
  
Not satisfied
0 (0.0)
1 (2.1)
  
 
“Are patients satisfied with the care and support they receive from nurses in the outpatient clinic?” (n, %)
Very satisfied
13 (20.3)
6 (12.2)
0.293
 
  
Satisfied
34 (53.1)
23 (46.9)
  
  
Not very satisfied
8 (12.5)
6 (12.2)
  
  
Not received the care and support
9 (14.1)
13 (26.5)
  
  
Not satisfied
0 (0.0)
1 (2.0)
  
 
“Do you think the patient understands his/her illness well?” (n, %)
Fully understands
18 (27.7)
8 (16.0)
0.073
 
  
Understands
32 (49.2)
19 (38.0)
  
  
Does not understand much
11 (16.9)
16 (32.0)
  
  
Does not understand enough
4 (6.2)
7 (14.0)
  
 
“How often do you and the patient currently discuss the illness, treatment, and care plans?” (n, %)
Frequently
6 (9.5)
8 (16.3)
0.510
 
  
Sometimes
35 (55.6)
21 (42.9)
  
  
Rarely (when medical staff asks)
12 (19.0)
12 (24.5)
  
  
Not at all
10 (15.9)
8 (16.3)
  
 
“Does the patient communicate their wishes regarding treatment and care policies to you in the event that they become unable to communicate their wishes?” (n, %)
Verbally and in writing/verbally only
25 (39.1)
16 (33.3)
0.533
 
  
Not verbally and in writing
39 (60.9)
32 (66.7)
  
 
Patient’s EQ-5D-5 L utility score
Median [range]
0.78 [0.04, 1.00]
0.67 [0.03, 1.00]
0.011
*
 
Mobility
None/slight
41(64.1)
27 (54.0)
0.278
 
  
Moderate
23 (35.9)
23 (46.0)
  
 
Self-care
None/slight
46 (73.0)
30 (60.0)
0.143
 
  
Moderate
17 (27.0)
20 (40.0)
  
 
Usual activities
None/slight
43 (66.2)
23 (46.9)
0.034
*
  
Moderate
22 (33.9)
26 (53.1)
  
 
Pain/discomfort
None/slight
57 (87.7)
36 (76.6)
0.123
 
  
Moderate
8 (12.3)
11 (23.4)
  
 
Anxiety/depression
None/slight
57 (79.1)
29 (60.4)
< 0.001
**
  
Moderate
7 (10.9)
19 (39.6)
  
t-test, chi-square test *:<0.05, **:<0.01
Patient-related factors significantly associated with suspected depression included “time since the patient was diagnosed,” “current disease condition,” “whether the patient has someone important who will listen to their worries and suffering,” “patients’ health-related quality of life score,” “patients’ usual activities,” and “patients’ anxiety/depression.”
Nominal logistic regression analysis was performed on variables showing significant differences between the suspected and non-suspected depression groups (Table 4). While unadjusted analyses revealed significant differences across all variables, multifactorial adjustment identified only two significant predictors of suspected depression: “whether they are tired from assisting and caring for the patient” and “time since the patient was diagnosed.” Caregivers of patients diagnosed within < 1 year or 1–2 years had significantly higher depression risks than those whose patients were diagnosed within ≥ 5 years.
Table 4
Nominal logistic regression analyses
  
Unadjusted OR
95% CI
p-value
 
Multivariate adjusted OR
95% CI
p-value
 
Age (years)
< 60s
ref
       
 
≥ 60s
0.41
0.18–0.92
0.030
*
1.18
0.29–4.76
0.816
 
“Do you currently have any worries or stress in your daily life?”
No
ref
       
 
Yes
4.6
1.60–13.3
0.005
**
1.41
0.22–9.16
0.719
 
“Do you have any problems caring for your patient?”
No
ref
       
 
Yes
3.88
1.57–9.57
0.003
**
4.57
0.86–24.28
0.076
 
“How do you feel about your current life overall?”
Average, Somewhat Comfortable, Very comfortable
ref
       
 
Somewhat difficult, Very difficult
4.46
2.01–9.88
< 0.001
**
1.28
0.38–4.34
0.689
 
“Are you tired of caring and nursing?”
Don’t agree
ref
       
 
Yes, can’t say either, don’t know
6.57
1.81–23.92
0.004
**
8.92
1.24–63.98
0.030
*
Time since the patient was diagnosed
≥ 5 years
ref
       
 
2 years < 5 years
1.34
0.43–4.24
0.614
 
1.56
0.34–7.28
0.570
 
 
1 year < 2 years
6.98
2.12–23.01
0.001
**
18.14
2.70–121.84
0.003
**
 
< 1 year
4.65
1.51–14.31
0.007
**
7.60
1.11–57.22
0.039
*
Current disease condition
Cured and under observation
ref
       
 
Stable and under observation
3.73
0.88–15.83
0.075
 
3.53
0.46–27.02
0.224
 
 
Stable but undergoing treatment
6.33
1.54–26.00
0.010
*
2.53
0.28–22.50
0.406
 
 
Recurrence/progression
13.37
3.13–57.18
0.001
**
5.58
0.61–54.30
0.129
 
“Do you think the patient has important people other than family who listen to their problems and suffering?”
Yes
ref
       
 
No
2.39
1.08–5.32
0.032
*
3.07
0.76–12.37
0.114
 
Patient’s usual activities
None/slight
ref
       
 
Moderate
2.21
1.03–4.27
0.041
*
2.41
0.56–10.39
0.238
 
Patient’s anxiety/depression
Not anxious or depressed/slightly anxious or depressed
ref
       
 
Moderately/ Severely/ Extremely anxious or depressed
5.33
2.01–14.15
0.008
**
3.91
0.80–19.13
0.092
 
Multivariate analysis adjusted for age, time since diagnosis, current disease condition, and patient’s anxiety/depression and for questions “Do you currently have any worries or stress in your daily life?” “Do you have any problems caring for your patient?” How do you feel overall about your current life? “Are you tired of caring and nursing care?” and “‘Do you think the patient has important people other than family who listen to their problems and suffering?”
*:<0.05, **:<0.01

Discussion

We investigated the mental health status and related factors among caregivers of patients with malignant brain tumors using the DIT. Among the caregivers, 43.4% were suspected of having depression, defined as a distress score ≥ 4 and an inconvenience score ≥ 3. A meta-analysis by Geng et al. [3] reported a similar prevalence, with 42.3% of caregivers of patients with cancer experiencing depression and anxiety.
When comparing the suspected and non-suspected depression groups, significant differences were observed in several caregiver-related factors: “age,” “overall comfort in current life,” “worries or stress in daily life,” “problems in caring for the patient,” “tiredness from assistance and care,” and “health-related QOL utility score of the caregiver.” Geng et al. [3] identified factors related to caregiver depression, including the patient’s condition, caregiving burden, caregiving duration, being married to the patient, being unemployed, chronic illness, sleep quality, avoidance behavior, financial problems, and female sex. Conversely, a higher education level, age, sense of coherence, and a strong bond with the patient were reported to reduce the risks of depression. Consistent with prior studies [9, 10], younger caregivers in this study appeared more susceptible to mental health issues, with a higher proportion of suspected depression cases among those aged < 60 years.
Regarding the response to “How do you feel about your current life overall?” caregivers suspected of depression were significantly more likely to report having no spare time. Multiple factors, such as income and time constraints, intricately determine available spare time. Saito et al. reported that a lower household income was linked to increased caregiving time and a higher depression risk [11], while Ochoa et al. [12] found a correlation between lower income and higher distress among caregivers of patients with cancer. Although this study did not specifically measure annual household income or daily caregiving hours, these factors likely influenced the results.
Questions such as “Are you worried or stressed in your daily life?”, “Are you having trouble caring for the patient?”, and “Are you tired from assisting or caring for the patient?” reflected the caregiving burden. Geng et al. [3] similarly associated caregiving burden with depression, consistent with the findings in this study.
Differences in health-related QOL utility scores of caregivers were observed between the two groups. Depression is associated with a QOL decline, which may explain these findings. A systematic review by Tallant et al. found that caregivers of patients with brain tumors had a lower QOL than non-caregivers [13]. Finocchiaro et al. reported lower scores for social functioning, emotional well-being, and mental health on Short Form 36 among caregivers [14]. Similarly, a study by Zang et al. [15] on the health-related QOL of caregivers of patients with cancer reported an average EQ-5D-5 L utility score of 0.71. Significant differences were observed in scores for household income, age, caregiver education level, self-perceived health status, the patient’s Eastern Cooperative Oncology Group performance status, and cancer stage. Litzelman et al. emphasized that caregiver well-being affects the quality of cancer care [16]. Preventing and alleviating caregiver depression is essential for sustaining and improving cancer care quality. Social support significantly influences mental health outcomes in caregivers of patients with brain tumors. Therefore, ensuring access to adequate social support systems is a critical role for healthcare providers [17].
For patient-related factors, significant differences were found in “time since the patient was diagnosed,” “condition of the patient’s brain tumor,” “whether the patient has someone important who will listen to their worries and suffering,” “patient’s health-related QOL utility score,” “patient’s usual activities,” and “patient’s anxiety/depression.” Specifically, a significant difference in “time since the patient was diagnosed” was noted between the two groups; the risk of depression was higher within 1 year and 1–2 years after diagnosis than after ≥ 5 years.
Regarding caregiver mental health status within 1 year of diagnosis, Halkett et al. [18] reported that distress did not decrease in caregivers of patients with HGG 3 and 6 months after diagnosis. Similarly, Forst et al. found that caregiver anxiety and distress persisted 3, 6, and 9 months after diagnosis. Russell et al. [7] evaluated distress in caregivers of patients with HGG diagnosed for ≥ 2 years and found that while most caregivers did not report significant psychological distress ≥ 2 years after diagnosis, 28% experienced moderate-to-severe distress. Factors such as caregiving burden and patients’ low functional well-being were significantly related to caregiver mental distress. However, since this was not a longitudinal study, it is not possible to conclude that the caregivers’ depression risk decreases after 2 years following the diagnosis of a brain tumor. Phillips et al. reported that the causes of distress in both patients with HGG and caregivers change over time [19]. Therefore, it is essential to conduct longitudinal studies with larger sample sizes, considering various factors influencing caregiver mental health, to better understand the progression of caregiver mental health and its influence. Furthermore, a multidisciplinary approach addressing these factors is crucial for improving patient and caregiver mental health.
There was also a significant difference between the two groups regarding concern about the “patient’s brain tumor condition.” The proportion of those with suspected depression who responded “recurrence/progression” and “stable but undergoing treatment” was higher. Webb et al. [20] reported that caregivers experienced significant anxiety about recurrence, which, in turn, exacerbated depression and anxiety. Similarly, Vivar et al. [21] reported that families faced new difficulties and distress following recurrence.
The proportion of caregivers who responded “no” to the question “Do you think there is someone important who will listen to the patient’s worries and suffering?” was higher. Forst et al. [6] identified patient depression and anxiety as factors related to caregiver anxiety and distress. When caregivers believe that “there is someone important who will listen to the patient’s worries and suffering,” it is thought that this belief, or the actual alleviation of the patient’s depression and anxiety, may reduce the caregiver’s risk of depression.
There was also a significant difference in health-related QOL utility scores between the two groups. Studies have reported a correlation between patient and caregiver QOL [22], which aligns with the findings of this study. A lower health-related QOL in patients increases the caregiving burden, subsequently increasing the risk of depression among caregivers. Of the five questions in the EQ-5D-5 L, significant differences were observed in “patient’s usual activities” and “patient’s anxiety and depression.” Previous research has linked patients’ Karnofsky Performance Status scores, anxiety, and depression with caregiver depression, supporting the results observed here [6, 7].
The factors that remained significant after multifactorial adjustment were “whether the caregiver was tired from providing care or caring for the patient” and “the time since the patient was diagnosed with a brain tumor.” While the time since disease diagnosis is an objective parameter, tiredness of caregivers can potentially be influenced by pre-existing depressive features. We need to obtain more detailed medical history from caregivers. However, monitoring these two factors in daily clinical practice is crucial to proactively identify caregivers suspected of having adjustment disorders or depression and to provide appropriate support.
This study’s strengths and limitations are as follows. This is the first study to explore the mental health status and its influencing factors among caregivers of patients with malignant brain tumors in Japan, analyzing a relatively large sample size. However, the study has certain limitations. First, while caregivers of patients with malignant brain tumors were included, factors known to influence caregiver depression and QOL—such as educational background, household income, time spent on caregiving, and caregivers’ health status, including prior history of depression—were not explored. Therefore, their impact remains unclear. We need to clarify this issue for the future study. Second, the cross-sectional design prevents the study from capturing how caregivers’ mental health status evolves following diagnosis, and the factors affecting changes over time could not be examined. Third, considering the number of patients with malignant brain tumors in Japan, the respondents in this study represented only a small portion of caregivers, introducing potential selection bias if caregivers with anxiety or problems were more likely to participate. Fourth, although the survey items were developed in consultation with family nursing experts and brain tumor treatment specialists, leading questions with assumptions may have been included, potentially resulting in biased results. To obtain more accurate responses, we believe that a neutral and open-format survey should be used in the future.

Conclusion

This study assessed the mental health and related factors in 50 caregivers of patients with malignant brain tumors using the DIT. Notably, 43.4% of caregivers were classified as having suspected depression (DIT scores: distress ≥ 4, inconvenience ≥ 3). Factors associated with depression included caregiver age, life satisfaction, daily stress, caregiving challenges, fatigue, and QOL scores, as well as patient-related factors such as time since diagnosis, tumor condition, support availability, activity level, anxiety, and QOL scores.
Due to its cross-sectional design, the study cannot track long-term trends in caregiver mental health. Future longitudinal research is needed to monitor changes over time. Early mental health screening for caregivers is recommended to identify risks for adjustment disorders or depression, thereby enabling timely interventions and tailored support.

Acknowledgements

We want to thank all the original survey participants who informed this study. We also thank the healthcare professionals and staff at the participating institutions for their invaluable support and cooperation.

Declarations

Ethical approval

The Research Ethics Review Committee of the National Cancer Center approved this study (April 4, 2023/No. 2022 − 430).
Informed consent was obtained from all individual participants included in the study.

Competing interests

The authors declare no competing interests.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by-nc-nd/​4.​0/​.

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Literatur
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Zurück zum Zitat Effendy C, Vernooij-Dassen M, Setiyarini S, Kristanti MS, Tejawinata S, Vissers K, Engels Y (2015) Family caregivers’ involvement in caring for a hospitalized patient with cancer and their quality of life in a country with strong family bonds. Psychooncol 24:585–591. https://doi.org/10.1002/pon.3701CrossRef Effendy C, Vernooij-Dassen M, Setiyarini S, Kristanti MS, Tejawinata S, Vissers K, Engels Y (2015) Family caregivers’ involvement in caring for a hospitalized patient with cancer and their quality of life in a country with strong family bonds. Psychooncol 24:585–591. https://​doi.​org/​10.​1002/​pon.​3701CrossRef
Metadaten
Titel
Mental health status and associated factors of caregivers of patients with malignant brain tumors
verfasst von
Kaori Sakurada
Iori Sato
Mari Ikeda
Yoshitaka Narita
Publikationsdatum
07.02.2025
Verlag
Springer US
Erschienen in
Journal of Neuro-Oncology
Print ISSN: 0167-594X
Elektronische ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-025-04963-9

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