Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry, 04 July 2023
Sec. Mood Disorders

Depression status and functional outcome of patients with ischemic stroke and the impact on caregivers living in Chengdu: a cross-sectional study

Lanying HeLanying He1Jian Wang
Jian Wang1*Feng WangFeng Wang1Lu WangLu Wang1Yinglin LiuYinglin Liu1Fanfan ZhouFanfan Zhou1Fan XuFan Xu2
  • 1Department of Neurology, The Second People’s Hospital of Chengdu, Chengdu, China
  • 2Department of Public Health, Chengdu Medical College, Chengdu, Sichuan, China

Objectives: To investigate the associations between risk factors and depression symptoms in ischemic stroke (IS) survivors and the effect of IS survivors’ depression status and functional outcomes on caregiver burden in Chengdu, China.

Methods: In this cross-sectional study, we recruited a convenience sample of patients with IS and paired caregivers living in Chengdu from February 2022 to May 2022. Depression symptoms were assessed using the 17-item Chinese Hamilton Depression Rating Scale, the social support of patients was assessed using the perceived social support scale (PSSS), caregiver burden was assessed using the Zarit burden interview (ZBI). Multivariable logistic regression analysis was used to analyze the data between risk factors and depression symptoms, and multiple linear regression models were constructed to examine the depression symptoms and functional outcomes of stroke survivors, and caregiver burden.

Results: In total, 966 IS survivors and paired caregivers were included in this study. Among IS survivors, 35.51% (343/966) experienced depression. Age [adjusted odds ratio (aOR), 1.02; 95% confidence interval (CI), 1.00–1.04; p = 0.036], the National Institutes of Health Stroke Scale (NIHSS) score (aOR, 1.57; 95% CI, 1.47–1.68; p < 0.001), and PSSS score (aOR, 0.86; 95% CI, 0.84–0.89; p < 0.001) were associated with an increased risk of depression. The NIHSS score (b = 2.57, p < 0.001), patients’ depression status (b = 2.54, p < 0.001), duration of care (b = 0.359, p = 0.006), and social support of caregivers (b = −0.894, p = 0.038) were significantly associated with the ZBI score.

Conclusion: The PSSS score was a major risk factor for the development of depression in IS survivors, and patients’ depression status and severe functional deficits had a negative impact on the ZBI score of the main caregivers. Social support can reduce the ZBI score.

Introduction

Stroke is the leading cause of long-term disability in the Chinese population (1). Although there have been significant advances in the treatment of ischemic stroke (IS), including recanalization, the incidence of stroke has declined recently, but the number of strokes continues to increase with the accelerated aging population and longer life expectancy; many IS survivors still have moderate to severe disabilities after treatment (24). In Asia, the incidence of stroke is approximately 116 to 483 per 100,000 people per year (5), and according to the latest statistics released by the National Health Commission, the total number of stroke cases in China exceeded 28 million in 2021.

Depression, anxiety, and mental sequelae are very common among IS survivors, with the prevalence of depression ranging from 14% to 50% (68). Poor mental health has a negative impact on neurological rehabilitation and quality of life. Previous studies have shown that social support has positive effects on functional recovery and mental health after stroke (912). Social support comes from family members, colleagues, friends, and community groups. Social support is divided into objective support, which is the actual help from others, and perceived social support, which is the perceived support resulting from confidence in support for physical or emotional needs. Some evidence suggested that there is a relationship between objective social support and mental health and physical prognosis (13, 14); however, previous studies that aimed to investigate the association between perceived social support and mental health are limited. Because of the limited evidence and differences in cultures and health systems across countries, it is necessary to better understand the relationship between post-IS mental health and perceived social support in China.

Depending on the severity of the functional impairments, IS survivors may require caregivers to assist with their daily needs and care for their physical, cognitive, and mental health (15). Over the years, literature has emphasized the interaction between patients and caregivers (16). Some studies have shown that caregivers’ well-being can affect patient clinical outcomes (17, 18). For example, caregivers with poor mental health are more likely to result in patients entering care facilities (19, 20).

A concept related to a patient caregiver is caregiver burden. It is defined as the physical and emotional response of the caregiver during the course of patient care; studies have shown that 25%–54% of caregivers experience significant caregiving burden (8, 2123).

To date, some studies have explored the association between caregiver burden and the severity of patients’ functional deficits (24, 25). Yet, few studies have described the impact of depression symptoms on caregiver burden.

Therefore, to address this research gap, we investigated the association between perceived social support and depression status in IS survivors, and the effect of patients’ depression status and functional outcome on caregiver burden.

Materials and methods

Study design and population

This cross-sectional study was conducted between February 2022 and May 2022. Fifteen districts and counties in Chengdu, China were used as research sites. First, the streets/towns in each district or county were numbered. Second, we used the random number table method to scientifically select random samples, and two communities/administrative villages were selected from each street/township. Finally, two residential areas/villages were extracted from each community/administrative village.

IS was identified based on patients’ medical history or discharge certificates. The National Institutes of Health Stroke Scale (NIHSS) was used to assess stroke severity. All IS survivors and their caregivers were paired. The caregiver was a family member who lived with the patient and took care of the patient’s physical and daily activities, including communication and emotional support.

Inclusion and exclusion criteria

IS survivors and their paired caregivers were included in this study. After being discharged from general hospitals, most IS patients underwent short rehabilitation training in community hospitals and then returned to their families. The primary caregiver was defined as the person taking care of the patient’s daily activities, including assisting the patient with walking, turning over in bed, eating, defecating, and bathing, as well as providing emotional support.

Inclusion criteria for caregivers were (1) age ≥18 years, (2) family member, and (3) duration of care ≥6 months and ≥8 h/day. The exclusion criteria were (1) severe renal failure (estimated glomerular filtration rate <30 mL/min/1.73 m2), severe lung disease, active malignancy, and severe heart disease (cardiac function >grade II); (3) dyslexia, deafness, or mental impairment and inability to complete the survey; (4) history of psychosis; and (5) alcohol or drug abuse. Caregivers’ physical and mental health was obtained from their medical history base on consulting caregivers or reviewing outpatient/discharge certificates.

The inclusion criteria for patients were as follows: (1) modified Rankin scale score of 0 before stroke and (2) living at home. The exclusion criteria for patients were as follows: (1) neurological symptoms unrelated to IS and (2) inability to complete the scale because of deafness, mental impairment, aphasia, and severe dementia.

Data collection

All data were collected online and automatically entered into a spreadsheet. Two trained neurologists evaluated all scale scores.

Patient demographics and clinical characteristics including hypertension, diabetes mellitus, hyperlipidemia, smoking history, medication use, and patient income were collected. Caregivers’ demographics including age, sex, education level, chronic diseases, duration of care, and Zarit burden interview (ZBI) score were collected.

Chronic diseases of caregivers included hypertension, diabetes, mild to moderate chronic obstructive pulmonary disease, mild to moderate liver dysfunction, mild to moderate renal dysfunction, mild to moderate asthma, mild to moderate stroke, mild to moderate epilepsy, mild to moderate multiple sclerosis, mild to moderate Alzheimer disease, mild to moderate Parkinson disease, and history of cancer.

Patients’ social support was evaluated using the perceived social support scale (PSSS), which was designed by Zimet et al. in 1990 and first translated into Chinese in 2001. A previous study showed that the PSSS has good validity and reliability (26). The scale consists of 12 items designed to measure an individual’s perceptions of the support received from family members and other individuals, including friends, leaders, relatives, and colleagues. Each item is scored on a scale of 0–7 (1 = strongly disagree, 7 = strongly agree). The overall score reflects an individual’s overall social support, with higher scores indicating higher levels of perceived support.

The 17-item Chinese Hamilton depression rating scale (HDRS) was used to assess the severity of depression (27, 28); each item is scored on a scale of 0–4. A total score of 0–6 is considered to indicate no depression, 7–16 indicates mild depression, 17–24 indicates moderate depression, and >24 indicates severe depression. A definite depressive state was defined as a 17-item Chinese HDRS score >17. The validity and reliability of the 17-item Chinese HDRS have been verified in a previous study (28).

Caregiver burden was evaluated using the ZBI, a self-reported questionnaire that reflects caregivers’ negative views on caregiving. A previous study showed that the shorter 12-item version of the ZBI had good validity and reliability (Cronbach alpha = 0.93), with responses ranging from 0 to 4: 0 = never, 1 = rarely, 2 = sometimes, 3 = quite frequently, and 4 = nearly always (29).

Statistical analysis

Data are presented as numbers (%) or means (±standard deviation). The Pearson χ2 test was used to analyze categorical variables. The student t-test was used to compare normally distributed variables between groups, whereas the Mann–Whitney U test was used to compare non-normally distributed variables between groups. Multivariable logistic regression analysis was used to analyze data between risk factors and depression symptoms, and multiple linear regression models were constructed to examine stroke survivors’ depression symptoms, functional outcomes, and caregiver burden. The results are expressed as adjusted odds ratios (aORs) with corresponding 95% confidence intervals (CIs). The data were analyzed using SPSS 22 software (IBM Corp.). Statistical significance was set at p < 0.05.

Results

Patient characteristics

Of the 1,078 eligible participants, 966 with IS participated in the study, resulting in a response rate of 89.61% (Figure 1). Patients’ mean age was 67.58 ± 10.62 years, 497 (51.45%) were female, 640 (66.25%) patients had hypertension, 409 (42.34%) had diabetes, 559 (57.84%) had hyperlipidemia, 245 (25.36%) smoked, 288 (29.81%) drank alcohol, 116 (12.01%) had gastric tubes, and 164 (16.98%) had urinary catheter. The mean NIHSS score was 9.96 ± 4.18. Only 653 (67.60%) patients were taking antiplatelet aggregation drugs, and 519 (53.73%) were taking lipid-lowering drugs. The mean PSSS score was 68.27 ± 8.42.

FIGURE 1
www.frontiersin.org

Figure 1. Patient’s and caregiver’s flowchart.

Risk factors for depression among is survivors

The baseline characteristics of patients in the non-depression and depression groups were compared (Table 1). At baseline, the group of patients with depression status had older age [69.04 ± 10.28 versus (vs.) 66.78 ± 10.72, p < 0.001], higher NIHSS score (13.57 ± 4.80 vs. 9.71 ± 4.00, p < 0.001), and higher percentage of women than those without depression [53.06% vs. 46.07%; odds ratio (OR), 1.32; 95% CI, 1.02–1.72; p = 0.037]. Compared with the non-depression group, the depression group had a significantly lower PSSS score (62.32 ± 7.77 vs. 71.55 ± 6.82, p < 0.001).

TABLE 1
www.frontiersin.org

Table 1. The demographic characteristics of patients in no PSD status and PSD status groups.

Multivariable models on the association between risk factors and patients’ depression status

In the unadjusted models, older age (aOR, 1.02; 95% CI, 1.01–1.03; p = 0.02), higher NIHSS score (aOR, 1.66; 95% CI, 1.56–1.77; p < 0.001), higher PSSS score (aOR, 0.84; 95% CI, 0.82–0.86; p = 0.02), and female (aOR, 1.32; 95% CI, 1.02–1.72; p = 0.038) were associated with an increased risk of depression in patients with IS.

To further analyze the association between risk factors and the depression status of patients with IS, the factors associated with depression status in the univariate analyses (p < 0.20) were entered into the multivariate logistic regression analysis, which was adjusted for age, baseline NIHSS score, PSSS score, sex, and low household income. Older age (aOR, 1.02; 95% CI, 1.00–1.04; p = 0.036), higher NIHSS score (aOR, 1.57; 95% CI, 1.47–1.68; p < 0.001), and PSSS score (aOR, 0.86; 95% CI, 0.84–0.89; p < 0.001)were associated with an increased risk of depression in patients with IS (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Multivariable models showing association between baseline risk factors and depression.

Characteristics of the main caregivers

In total, 966 paired main caregivers were included; their mean age was 55.47 ± 10.09 years, and 305 (31.57%) were female. The mean duration of care was 3.10 ± 1.39 years, and mean ZBI score was 30.15 ± 11.67. Overall, 188 (19.46%) main caregivers had social support, 396 (40.99%) had high school and above education, and 600 (62.11%) were a spouse. Among patients, 307 (31.78%) were self-financed, 399 (41.30%) had ≥2 chronic diseases, and 305 (31.57%) drank alcohol. There were 528 (60.87%) main caregivers with a personal income of <5,000/month (CNY) (Table 3).

TABLE 3
www.frontiersin.org

Table 3. The baseline characteristics of caregivers.

Multivariate linear regression models on the association between risk factors and ZBI scores

According to the HDRS results, 343 patients had depression. The average ZBI score of main family caregivers was 38.04 ± 12.14 among those caring for patients with depression; that value was significantly higher than the average ZBI score of caregivers caring for patients without depression (25.81 ± 8.77, p < 0.001).

Multivariate linear regression analysis, which was adjusted for age, sex, patients’ NIHSS score, duration of care, social support of caregivers, education (high school and above), depression status, body mass index ≥24 kg/m2, self-financed patient, personal income of main caregivers, current alcohol use, and ≥2 chronic diseases, was performed to examine the independent associations of the ZBI score. The NIHSS score of patients (b = 2.57, p < 0.001), depression status (b = 2.54, p < 0.001), duration of care (b = 0.359, p = 0.006), and social support of caregivers (b = −0.894, p = 0.038) were significantly associated with the ZBI score (Table 4).

TABLE 4
www.frontiersin.org

Table 4. Multiple linear regression analysis for factors significantly associated with ZBI.

Discussion

In this study of IS stroke survivors and paired main caregivers, we found a high incidence of depression symptoms in patients with IS; 343 (35.51%) patients had an HDRS score >17. A lower PSSS score was associated with an increased risk of depression, independent of other confounding factors. The data showed positive associations between the ZBI score and depression status and the severity of IS in stroke survivors.

Stroke is the leading cause of disability (3032). Previous studies have revealed that most IS survivors leave hospitals with varying degrees of disability; they are often accompanied by limb hemiplegia and other dysfunctions (3335). In the presence of physical impairment, social support may affect a person’s ability to overcome environmental challenges outside the home, and it may also be a protective factor against depressive symptoms after stroke. Care from caregivers often focuses on daily living and transfer, and little on community reintegration and participation of IS patients (15, 36). Perceived social support plays an important role in the mental health of stroke survivors. In this study, we found that lower perceived social support after IS was associated with a higher risk of depression. These findings suggest that perceived social support may protect against mental disorders following IS. The use of social support in prevention and treatment can prevent mental health symptoms after stroke.

Although previous studies have shown that the prevalence of depression was higher in younger IS stroke survivors than in older ones (37, 38), our study showed that older IS stroke survivors were more vulnerable and at a higher risk of depression than younger ones. This difference might be due to differences in the research methods used. A systematic review of studies on the relationship between age and post-stroke depression showed that population origin (hospitalized versus community-resident survivors) and timing of stroke onset were factors that might contribute to different outcomes (39). The more serious the sequelae of stroke, the higher the degree of patient dependence, the higher the NIHSS score, and the more need for assistive aids. The use of these assistive aids was found to increase the risk of depression.

In the present study, the results showed that a lower PSSS score had a negative effect on the depressive status of patients. Additionally, there was a strong association between the severity of IS and caregiver burden, and depressive symptoms might increase this association, as well as a direct negative effect on caregiver burden. In the general population, the mental state of the caregiver is associated with caregiver burden, and more importantly, caregiver burden is significant in predicting caregiver depression (40). This study further confirmed that the depression status of patients is associated with higher ZBI scores.

Support measures should be provided to both IS survivors and caregivers. For example, outpatient care services and psychological assistance, especially systemic therapy, psychoeducation, and self-help groups, could alleviate social tension among family members when caregivers are under high stress. Social support has been reported to be associated with lower levels of psychological burden and better adjustment among caregivers (41, 42). Herein, there was a positive association between the duration of care and ZBI score; the longer the care time, the higher the ZBI score of the caregiver. Previous studies have also shown that a higher care burden is more likely to appear with longer care time (43, 44). This may be because the long day of care takes too much of the caregiver’s personal time, minimizing their work, social, and entertainment time.

We also investigated the association between perceived social support and depression status in IS survivors and the effect of patients’ depression status and functional outcomes on caregiver burden. The study’s results demonstrated that patient age, NIHSS score, and PSSS score were associated with depression status among IS survivors, and the depression status and NIHSS score of patients, and lower social support had a negative effect on caregiver burden. Therefore, it may be suggested that any support, such as social and psychological support, relieves depression in IS survivors and caregivers’ care burden and will be helpful in improving the quality of life of IS survivors and caregivers.

Limitations

This study has some limitations. First, this was a cross-sectional study, and the results can only represent the current situation of stroke survivors and caregivers in Chengdu. Second, depression symptoms are dynamic and were evaluated at only a single time point. Third, we did not collect data on patients’ use of antidepressants. Fourth, the 17-item Chinese HDRS score is just a screening tool. We used the17-item Chinese HDRS to assess whether the patients had symptoms of depression, but it should not be used to diagnose depression. Lastly, we did not analyze the effect of different levels of depression on caregivers’ ZBI score, which might have influenced the results.

Conclusion

In conclusion, patient age, NIHSS score, and PSSS score were major risk factors for the development of depression in IS survivors. The depression status and functional deficits of patients had a negative impact on the ZBI score of the main caregivers, but social support can reduce the ZBI score. These findings further confirm that community doctors or social groups should provide social support, family nursing guidance, and psychological counseling to improve the mental health of family caregivers.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving human participants were reviewed and approved by Medical and Health Research Ethics Committee in Second people’s Hospital of Chengdu. The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

LH was responsible for the concept and design of the study, data collection and analysis, the first draft of the paper, and further manuscript. JW was responsible for concept and design of the study, the data analysis and interpretation. FW was responsible for the data analysis. FZ, LW, and YL were responsible for data collection. FX was responsible for overseeing the concept and design of the study. All authors contributed to the article and approved the submitted version.

Funding

This work was funded by the Health and Family Planning Commission of Chengdu (2015009), the Sichuan Medical Association (Q14011), the Chengdu Science and Technology Bureau Focuses on Research and Development Support Plan (2019-YF09-00097-SN) the Chengdu Medical College Natural Science Foundation (CYZ18-33, CYZ19-33), the Sichuan Provincial Education Department (17ZA0134), the Sichuan Medical Association (S18023). The funding body did not participate in designing the study or writing the manuscript. The study protocol had undergone peer-review process by the funding body.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Wang, W, Jiang, B, Sun, H, Ru, X, Sun, D, Wang, L, et al. Prevalence, incidence, and mortality of stroke in China: results from a nationwide population-based survey of 480 687 adults. Circulation. (2017) 135:759–71. doi: 10.1161/CIRCULATIONAHA.116.025250

CrossRef Full Text | Google Scholar

2. Martín-Martín, L, Membrilla-Mesa, MD, Lozano-Lozano, M, Galiano-Castillo, N, Fernández-Lao, C, and Arroyo-Morales, M. Association between physiological and subjective aspects of pain and disability in post-stroke patients with shoulder pain: a cross-sectional study. J Clin Med. (2019) 8:1093. doi: 10.3390/jcm8081093

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Cantone, L, Tobaldini, E, Favero, C, Albetti, B, Sacco, RM, Torgano, G, et al. Particulate air pollution, clock gene methylation, and stroke: effects on stroke severity and disability. Int J Mol Sci. (2020) 21:3090. doi: 10.3390/ijms21093090

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Cucchiara, B, George, DK, Kasner, SE, Knutsson, M, Denison, H, Ladenvall, P, et al. Disability after minor stroke and TIA: a secondary analysis of the SOCRATES trial. Neurology. (2019) 93:e708–16. doi: 10.1212/WNL.0000000000007936

CrossRef Full Text | Google Scholar

5. Turana, Y, Tengkawan, J, Chia, YC, Nathaniel, M, Wang, JG, Sukonthasarn, A, et al. Hypertension and stroke in Asia: a comprehensive review from HOPE Asia. J Clin Hypertens. (2021) 23:513–21. doi: 10.1111/jch.14099

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Kruithof, WJ, Post, MW, van Mierlo, ML, van den Bos, GA, de Man-van Ginkel, JM, and Visser-Meily, JM. Caregiver burden and emotional problems in partners of stroke patients at two months and one year post-stroke: determinants and prediction. Patient Educ Couns. (2016) 99:1632–40. doi: 10.1016/j.pec.2016.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Cameron, JI, Cheung, AM, Streiner, DL, Coyte, PC, and Stewart, DE. Stroke survivors' behavioral and psychologic symptoms are associated with informal caregivers’ experiences of depression. Arch Phys Med Rehabil. (2006) 87:177–83. doi: 10.1016/j.apmr.2005.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

8. McCullagh, E, Brigstocke, G, Donaldson, N, and Kalra, L. Determinants of caregiving burden and quality of life in caregivers of stroke patients. Stroke. (2005) 36:2181–6. doi: 10.1161/01.STR.0000181755.23914.53

CrossRef Full Text | Google Scholar

9. Mirkowski, M, Pereira, S, Janzen, S, Mehta, S, Meyer, M, McClure, A, et al. Caregiver availability for severe stroke results in improved functional ability at discharge from inpatient rehabilitation. Disabil Rehabil. (2018) 40:457–61. doi: 10.1080/09638288.2016.1260652

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Glass, TA, Matchar, DB, Belyea, M, and Feussner, JR. Impact of social support on outcome in first stroke. Stroke. (1993) 24:64–70. doi: 10.1161/01.STR.24.1.64

CrossRef Full Text | Google Scholar

11. Colantonio, A, Kasl, S, Ostfeld, A, and Berkman, L. Psychosocial predictors of stroke outcomes in an elderly population. J Gerontol. (1993) 48:S261–8. doi: 10.1093/geronj/48.5.s261

CrossRef Full Text | Google Scholar

12. Goldfinger, JZ, Edmondson, D, Kronish, IM, Fei, K, Balakrishnan, R, Tuhrim, S, et al. Correlates of post-traumatic stress disorder in stroke survivors. J Stroke Cerebrovasc Dis. (2014) 23:1099–105. doi: 10.1016/j.jstrokecerebrovasdis.2013.09.019

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Erler, KS, Sullivan, V, Mckinnon, S, and Inzana, R. Social support as a predictor of community participation after stroke. Front Neurol. (2019) 10:1013. doi: 10.3389/fneur.2019.01013

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Kwon, B, Lee, EJ, Park, S, Lee, JS, Lee, MH, Jeong, D, et al. Long-term changes in post-stroke depression, emotional incontinence, and anger. J Stroke. (2021) 23:263–72. doi: 10.5853/jos.2020.04637

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Rigby, H, Gubitz, G, and Phillips, S. A systematic review of caregiver burden following stroke. Int J Stroke. (2009) 4:285–92. doi: 10.1111/j.1747-4949.2009.00289.x

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Vincent, C, Desrosiers, J, Landreville, P, and Demers, L, BRAD group. Burden of caregivers of people with stroke: evolution and predictors. Cerebrovasc Dis. (2009) 27:456–64. doi: 10.1159/000210092

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Ilse, IB, Feys, H, de Wit, L, Putman, K, and de Weerdt, W. Stroke caregivers’ strain: prevalence and determinants in the first six months after stroke. Disabil Rehabil. (2008) 30:523–30. doi: 10.1080/09638280701355645

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Victims.Draper, BM, Poulos, CJ, Cole, AM, Poulos, RG, and Ehrlich, F. A comparison of caregivers for elderly stroke and dementia. J Am Geriatr Soc. (1992) 40:896–901. doi: 10.1111/j.1532-5415.1992.tb01986.x

CrossRef Full Text | Google Scholar

19. Shannon Ang, RM. Expressive social support buffers the impact of care-related work interruptions on caregivers’ depressive symptoms Shannon. Aging Ment Health. (2018) 22:755–63. doi: 10.1080/13607863.2017.1317329

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Zhu, W, and Jiang, Y. A meta-analytic study of predictors for informal caregiver burden in patients with stroke. J Stroke Cerebrovasc Dis. (2018) 27:3636–46. doi: 10.1016/j.jstrokecerebrovasdis.2018.08.037

CrossRef Full Text | Google Scholar

21. Jaracz, K, Grabowska-Fudala, B, Górna, K, Jaracz, J, Moczko, J, and Kozubski, W. Burden in caregivers of long-term stroke survivors: prevalence and determinants at 6 months and 5 years after stroke. Patient Educ Couns. (2015) 98:1011–6. doi: 10.1016/j.pec.2015.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Montgomery, RJ, Gonyea, JG, and Hooyman, NR. Caregiving and the experience of subjective and objective burden. Fam Relat Interdiscip J Appl Fam Stud. (1985) 34:19–26. Cross Ref. doi: 10.2307/583753

CrossRef Full Text | Google Scholar

23. Oliva-Moreno, J, Peña-Longobardo, LM, Mar, J, Masjuan, J, Soulard, S, Gonzalez-Rojas, N, et al. Determinants of informal care, burden, and risk of burnout in caregivers of stroke survivors the CONOCES study. Stroke. (2018) 49:140–6. doi: 10.1161/STROKEAHA.117.017575

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Han, Y, Liu, Y, Zhang, X, Tam, W, Mao, J, and Lopez, V. Chinese family caregivers of stroke survivors: determinants of caregiving burden within the first six months. J Clin Nurs. (2017) 26:4558–66. doi: 10.1111/jocn.13793

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Fang, L, Dong, M, Fang, W, and Zheng, J. Relationships between care burden, resilience, and depressive symptoms among the main family caregivers of stroke patients: a cross-sectional study. Front Psychiatry. (2022) 13:960830. doi: 10.3389/fpsyt.2022.960830

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Zimet, GD, Powell, SS, Farley, GK, Werkman, S, and Berkoff, KA. Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess. (1990) 55:610–7. doi: 10.1080/00223891.1990.9674095

CrossRef Full Text | Google Scholar

27. Hamilton, M. A rating scale for depression. J Neurol Neurosurg Psychiatry. (1960) 23:56–62. doi: 10.1136/jnnp.23.1.56

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Zheng, YP, Zhao, JP, Phillips, M, Liu, J, Cai, M, Sun, S, et al. Validity and reliability of the Chinese Hamilton depression rating scale. Br J Psychiatry. (1988) 152:660–4. doi: 10.1192/bjp.152.5.660

CrossRef Full Text | Google Scholar

29. Bédard, M, Molloy, DW, Squire, L, Dubois, S, Lever, JA, and O’Donnell, M. The Zarit burden interview: a new short version and and screening version. Gerontologist. (2001) 41:652–7. doi: 10.1093/geront/41.5.652

PubMed Abstract | CrossRef Full Text | Google Scholar

30. GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet Neurol. (2021) 20:795–820. doi: 10.1016/S1474-4422(21)00252-0

CrossRef Full Text | Google Scholar

31. Benjamin, EJ, Blaha, MJ, Chiuve, SE, Cushman, M, Das, SR, Deo, R, et al. Heart disease and stroke statistics-2017 update: a report from the American Heart Association. Circulation. (2017) 135:e146–603. doi: 10.1161/CIR.0000000000000485

CrossRef Full Text | Google Scholar

32. Katan, M, and Luft, A. Global burden of stroke. Semin Neurol. (2018) 38:208–11. doi: 10.1055/s-0038-1649503

CrossRef Full Text | Google Scholar

33. Hallevi, H, Barreto, AD, Liebeskind, DS, Morales, MM, Martin-Schild, SB, Abraham, AT, et al. Identifying patients at high risk for poor outcome after intra-arterial therapy for acute ischemic stroke. Stroke. (2009) 40:1780–5. doi: 10.1161/STROKEAHA.108.535146

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Flint, AC, Xiang, B, Gupta, R, Nogueira, RG, Lutsep, HL, Jovin, TG, et al. THRIVE score predicts outcomes with a third-generation endovascular stroke treatment device in the TREVO-2 trial. Stroke. (2013) 44:3370–5. doi: 10.1161/STROKEAHA.113.002796

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Saposnik, G, Guzik, AK, Reeves, M, Ovbiagele, B, and Johnston, SC. Stroke prognostication using age and NIH stroke scale: SPAN-100. Neurology. (2013) 80:21–8. doi: 10.1212/WNL.0b013e31827b1ace

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Loh, AZ, Tan, JS, Zhang, MW, and Ho, RC. Th e global prevalence of anxiety and depressive symptoms among caregivers of stroke survivors. J Am Med Dir Assoc. (2017) 18:111–6. doi: 10.1016/j.jamda.2016.08.014

PubMed Abstract | CrossRef Full Text | Google Scholar

37. De Ryck, A, Fransen, E, Brouns, R, Geurden, M, Peij, D, Mariën, P, et al. Poststroke depression and its multifactorial nature: results from a prospective longitudinal study. J Neurol Sci. (2014) 347:159–66. doi: 10.1016/j.jns.2014.09.038

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Carota, A, Berney, A, Aybek, S, Iaria, G, Staub, F, Ghika-Schmid, F, et al. A prospective study of predictors of poststroke depression. Neurology. (2005) 64:428–33. doi: 10.1212/01.WNL.0000150935.05940.2D

CrossRef Full Text | Google Scholar

39. Shi, Y, Yang, D, Zeng, Y, and Wu, W. Risk factors for post-stroke depression: a meta-analysis. Front Aging Neurosci. (2017) 9:218. doi: 10.3389/fnagi.2017.00218

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Sherwood, PR, Given, CW, Given, BA, and von Eye, A. Caregiver burden and depressive symptoms: analysis of common outcomes in caregivers of elderly patients. J Aging Health. (2005) 17:125–47. doi: 10.1177/0898264304274179

CrossRef Full Text | Google Scholar

41. Lee, JJ, Tsang, WN, Yang, SC, Kwok, JYY, Lou, VWQ, and Lau, KK. Qualitative study of Chinese stroke caregivers’ caregiving experience during the COVID-19 pandemic. Stroke. (2021) 52:1407–14. doi: 10.1161/STROKEAHA.120.032250

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Cheng, HY, Chair, SY, and Chau, JPC. Effectiveness of a strength-oriented psychoeducation on caregiving competence, problem-solving abilities, psychosocial outcomes and physical health among family caregiver of stroke survivors: a randomised controlled trial. Int J Nurs Stud. (2018) 87:84–93. doi: 10.1016/j.ijnurstu.2018.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Bugge, C, Alexander, H, and Hagen, S. Stroke patients’ informal caregivers. Patient, caregiver, and service factors that affect caregiver strain. Stroke. (1999) 30:1517–23. doi: 10.1161/01.str.30.8.1517

CrossRef Full Text | Google Scholar

44. Bakas, T, Clark, PC, Kelly-Hayes, M, King, RB, Lutz, BJ, and Miller, EL. Evidence for stroke family caregiver and dyad interventions: a statement for healthcare professionals from the American Heart Association and American Stroke Association. Stroke. (2014) 45:2836–52. doi: 10.1161/STR.0000000000000033

CrossRef Full Text | Google Scholar

Keywords: stroke survivors, caregiver, depression, mental health, caregiver burden, Zarit burden interview

Citation: He L, Wang J, Wang F, Wang L, Liu Y, Zhou F and Xu F (2023) Depression status and functional outcome of patients with ischemic stroke and the impact on caregivers living in Chengdu: a cross-sectional study. Front. Psychiatry. 14:1166273. doi: 10.3389/fpsyt.2023.1166273

Received: 15 February 2023; Accepted: 13 June 2023;
Published: 04 July 2023.

Edited by:

Lena Kaethe Linda Oestreich, The University of Queensland, Australia

Reviewed by:

Marcelo Mendonça, Champalimaud Foundation, Portugal
Hipólito Nzwalo, University of Algarve, Portugal

Copyright © 2023 He, Wang, Wang, Wang, Liu, Zhou and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jian Wang, MzgzMzc2ODc3QHFxLmNvbQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.