Location:Home >> Detail
This work is licensed under aCreative Commons Attribution 4.0 International License
Med One. 2018; 3: e180006. https://doi.org/10.20900/mo.20180006
1 Jining Medical University, Jining, Shandong 272067, China;
2 Affiliated Hospital of Jining Medical University, Jining, Shandong 272067, China.
*Corresponding Author: Chuanxin Liu.
Objective: To explore the relationship between: anxiety and depression, and mental elasticity in malignant hematopathy patients.
Methods: Two hundred and eighty-four malignant hematopathy patients were studied using: a demographic questionnaire; resilience scale scores; self-rating anxiety scale scores; and, self-rating depression scale scores. The statistical analysis was performed using SPSS17.0.
Results: Patients with malignant hematopathy had anxiety and depression scores significantly higher than the national norm and were statistically significant. Resilience scores, and their dimensions, of a group of patients positive for anxiety and depression were significantly lower than those of a group of patients negative for anxiety and depression, which was statistically significant (p < 0.01). Mental elasticity scores, and their dimensions, negatively correlated with anxiety and depression levels. A regression analysis of optimism and strength, negatively predicted depression, while optimism negatively predicted anxiety.
Conclusion: Patients with malignant hematopathy have low mental elasticity which closely relates to anxiety and depression. Mental elasticity is a predictor of both anxiety and depression.
Similar to the most solid tumors, malignant hematopathy (MH) incidence rates are rising . As medical research matures, MH cure rates have improved. MH appears insidiously as do most refractory diseases, which greatly impacts patient physical and mental health. Studies have shown that MH patient anxiety and depression incidence rates, influenced by fear of disease and prognosis, are higher than that for non-MH sufferers [2,3]. Recently, mental elasticity (ME) or resilience, has become a research subject undergoing intense study in the field of psychology. Some research results show that better ME can significantly improve a patients’ ability to resist stress and impede or prevent negative mental health from developing . This study explores the relationships between MH patient ME, and anxiety and depression in order to improve patient ME so as assist them in overcoming psychological damage.
Between January and June of 2017, patients with schizophrenia who had been hospitalized and treated for 12 months in the Affiliated Hospital of Jining Medical University Hematopathy Department, were enrolled.
Inclusion Criteria: a. patients in compliance with the diagnostic criteria for MH, including, lymphoma, multiple myeloma, acute myeloid leukemia, acute and chronic leukemia, acute promyelocytic leukemia, non-Hodgkin’s lymphoma, follicular lymphoma, chronic myeloid leukemia, and other related diseases ; b. who were able to communicate effectively; c. with a certain ability to understand and read; and, d. chose to voluntary participate in this study. Exclusion criteria: a. patients with an unstable, or rapidly deteriorating, condition; b. patients unwilling to participate in this study. This study obtained patient and their legal guardian's consents and approval of the Affiliated Hospital of Jining Medical University Ethics Committee.2.2 Research methods
Questionnaire survey was adopted in this study. Three hundred questionnaires were distributed. Two hundred and eighty-four valid questionnaires were returned. The effective rate was 94.67%.2.2.1 Questionnaires for general information
It included, among other things, age, gender, marriage status, education level, personal income, household registration location, working status, children situation, time of illness.2.2.2 Connor-Davidson resilience scale (CD-RISC)
The original scale consisted of 25 items which were rated on Richter’s 5-point scale, with 0–4 indicating: Not All True; Rarely True; Sometimes True; Often True; and, True Nearly All the Time, respectively. This scale was co-developed by Connor and Davidson, psychologists in the United States. It is now widely used . The highest score of the scale is 100. The higher the score, the greater patient mental resilience is. This scale was also translated into Chinese. The CD-RISC mental resilience scale in its Chinese version has three factors: resilience; strength; and optimism. A three-dimensional method was used: the resilience measure included items 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, and 23; strength included items 1, 5, 7, 9, 10, 24, and 25; and, optimism included items 2, 3, 4, and 184.108.40.206 Self-rating depression scale (SDS)
The SDS scale has 20 items. The score is an integer obtained according to symptom occurrence frequency. In China, those with an SDS standard score equal to, or greater than 50, are deemed to suffer from a depressive symptom. According to Chinese norm results, the SDS scale had four ranks: a little of the time; some of the time; a good part of the time; and, most of the time. Positive scores were rated as raw scores of 1, 2, 3, and 4, respectively. After assessment ended, raw scores for the 20 items were totaled to obtain a total raw score. A standard score was obtained by rounding the product of the total raw score and multiplying by 1.25. The SDS total raw score normal upper limit was 41 points. A lower value represents a less depressive patient. Depression was diagnosed when the score was equal to, or greater than 220.127.116.11 Self-rating anxiety scale (SAS)
The SAS scale had 20 items. There were four ranks: a little of the time; some of the time; a good part of the time; and, most of the time according to the frequency of symptoms defined by the items. Positive scores were rated as raw scores of 1, 2, 3, and 4 points, respectively. According to the Chinese norm results, the cutoff value for an SAS standard score is 50. Those whose SAS standard score was equal to, and greater than 50 were diagnosed as having a depressive disorder.2.3 Statistical analysis
A statistical analysis was performed using SPSS17.0. Descriptive analysis was available for general information or date; measurement data groups were compared using a t test. Correlation analysis and regression analysis were used among variables. A score of p＜0.05 or 0.01 indicates statistical significance.
Table 1 shows that, compared to the national norm, anxiety scores (t = 20.93, p = 0.000) and depression scores (t = 20.17, p = 0.000) in MH patients were significantly higher than the national norm [7,8] and were statistically significant.
The ME score of all MH patients was 69.96 ± 15.32, including a resilience score of 25.33 ± 8.71, a strength score of 14.31 ± 5.03, and an optimism score of 9.35 ± 18.104.22.168 Comparison of mental resilience of MH patients
Those whose anxiety and depression scores of 50 were divided into two groups: (1) a positive group; (2) a negative group. The positive group is patients with either a positive SAS or a positive SDS score. The remaining patients were included in the negative group.
Table 2 shows that the various dimension scores for the two positive groups were each lower than for the negative group (t = −4.16, p = 0.00; t = −4.21, p = 0.000; t = −4.45, p = 0.000; t = −4.10, p = 0.00) and were statistically significant.
Table 3 shows that the correlation analysis of ME and anxiety and depression of MH patients were significantly negatively correlated on ME and various dimension scores for anxiety and depression (p < 0.01).
In the regression model of depression, strength and optimism could negatively predict depression, while optimism negatively predicted anxiety in the regression model of anxiety. See Table 4 for details.
The scores of anxiety and depression of 284 MH patients were significantly different from China’s national norm. The statistically significance indicating that the incidence rate in MH patients was significantly higher than those in the non-MH population. This result resembles the Pei Wang findings  for 53 MH patients with malignant hematopathy. The Li et al. study  of 412 doctors and nurses in a general hospital emergency department pointed out that negative (inactive) life events correlate with anxiety and depression symptoms. These facts support a conclusion that MH is a stressor for these patients . It tends to show that, in the face of stresses such as disease, the patient stimulated a non-specific stress response mechanism  which aggravates the patient’s psychological burden of and increases anxiety and depression.
This study obtained an ME score of 69.96 ± 15.32, which varies from the 59.73 ± 9.38 score obtained by Zhang et al.  in their study of 185 cervical cancer patients. This may be correlated with the disease characteristics and other factors. The difference was statistically significant to a certain extent when comparing the ME negative group and the positive group. The dimension scores for the positive group are significantly lower than those of the negative group.
This shows that, in response to a stressor such as MH, the mental health of patients with anxiety and depression was greatly affected, and it reduced their psychological tolerance, and also ME score. A similar finding appears in Ying et al.’s study  of a population affected by the Wenchuan Earthquake. Higher ME levels beneficially effect PTSD and depression symptoms and buffer the impact of subjective experiences, such as worry for others, on PTSD and depression. This suggests that a high ME level reduces anxiety and depression incidence in MH patients.
The correlation analysis of MH patients included in this study shows that the ME score and various dimension scores were significantly negatively correlated with anxiety and depression (p < 0.01). A regression analysis of ME dimensions and anxiety and depression, among the predictors of depression, shows that the optimism dimension and the strength dimension negatively predicted depression. This is consistent with results obtained by Wang et al. , showing negative correlation between depression degree and optimism dimension in ME in depression patients.
The optimism dimension, an anxiety-predictor, negatively predicts anxiety, this differs from the Huang et al. study  which found that resilience and self-improvement of patients with breast cancer after chemotherapy negatively predicted anxiety.
In clinical practice, more attention could be paid to the psychological condition of patients in order to achieve physical and mental unity of treatment. This can be learned from the Fu study  which found that ME training can significantly improve negative psychology states caused by surgical trauma and the side effects of radiotherapy and chemotherapy in breast cancer patients. More attention could be paid to the individual ME of patients to build confidence and overcome pain or disease.
This study has certain limitations related samples and region. The research sample size and region can be expanded to carry out more comprehensive research so as to achieve a greater breakthrough research progress in the future.
Research directions for the future: The samples were selected from a single general hospital—the Affiliated Hospital of Jining Medical University, and there may be a selection bias. No correlation was found between optimism and depression in studying the relationship between ME total scores and classification and anxiety and depression, which associate with the sample limitations. The investigations were aimed at all MH diseases and they were not specifically classified, so there might be interference. We hope that a larger sample size survey can be carried out in the future and specific types of diseases can be researched, and more accurate survey method to obtain research data can be explored, so as to further explore the relationship between anxiety and ME and its classifications.
The authors declare that there is no conflict of interest regarding the publication of this paper.
Cao N, Yan S, Zhu J, Liu Y, Liu C, Liu L. Correlations between Anxiety and Depression, and Mental Elasticity in Malignant Hematopathy Patients. Med One. 2018 Aug 30; 3: e180006. https://doi.org/10.20900/mo.20180006