Hierarchical multiple regression investigating factors associated with depressive symptoms in the middle-aged and elderly undergoing haemodialysis

Abstract

Background Depressive moods are commonly seen in patients who receive haemodialysis. This can cause a lack of compliance in their treatment procedures and increase the rate of hospitalization. This study aimed to investigate the relationship between social support and degree of depression in middle-aged and elderly patients undergoing haemodialysis and the predictors of depressive symptoms. Methods A cross-sectional correlational study was designed with a structured questionnaire survey. Patients over 40 years of age were included from five haemodialysis centres. Measures embraced a demographic and clinical characteristics questionnaire, the Centre for Epidemiologic Studies Depression Scale, and the Personal Resource Questionnaire 2000. Statistical analysis was performed using hierarchical multiple regression analysis. Results A total of 179 patients over 40 years of age were included from five haemodialysis centres in the analysis. The mean CES-D score was 19.0(12.3); the majority of participants (60.3%) had a CES-D score ≥ 15, indicating likely depressive status. The mean PRQ2000 score was 75.7(15.9). The proportional mean of the PRQ2000 was 72.11%, indicating moderate social support for participants in this study. Data disclosed that marital status, number of comorbidities, exercise behaviour, and social support could significantly predict depressive symptoms; total explanatory variance was 31.3%. Conclusion Health care professionals should identify those at high risk of depressive symptoms when they provide care to the middle-aged and elderly patients undergoing haemodialysis. These findings may lead to greater insights into the nursing and rehabilitative care of patients treated by chronic maintenance haemodialysis.

Complications and psychological impact of pressure ulcers on patients and caregivers

“…The study's hierarchical regression analysis demonstrates that the inclusion of each block of variables significantly raises R 2 thus emphasizing the multifactorial nature of quality of life in relation to pressure ulcers. This observation is consistent with the comprehensive model of care 34 …”

“…This observation is consistent with the comprehensive model of care. 34 Our logistic regression analysis corroborated the results obtained by Vecin (2022), placing emphasis on the importance of targeted interventions and highlighting age, mobility level and comorbidity count as significant predictors of pressure ulcer recurrence. 35 Our research provides significant contributions regarding the psychological ramifications of pressure ulcers for both patients and their caregivers.…”

Health-Related Quality of Life is Associated With Pain, Kinesiophobia, and Physical Activity in Individuals Who Underwent Cervical Spine Surgery

“…In this study, the mean NRS score for neck pain and EQ5D index of the participants were 3.0 and 0.738 points, respectively. A study that followed the postoperative course of patients who underwent cervical spine surgery showed that the NRS score for neck pain and EQ5D index were approximately 3 and 0.5 points, respectively, at 2 years postoperatively, with stable values at 1 and 2 years [ 26 ]. HRQOL was better among our study participants, although the neck pain intensity was similar between our study participants and those of Revesz et al’s [ 27 ] study.…”

“…We performed hierarchical multiple regression analysis, which is a multiple regression analysis in which independent variables are entered in several steps and is used to assess the extent to which the additional independent variables contribute to the improvement of the model [ 26 ], using the EQ5D index as the dependent variable. In step one, sex (0, male; 1, female), age, surgical technique (0, decompression; 1, decompression and fixation) duration of postoperative days, and NDI were used as the independent variables.…”

Global research trends and mapping knowledge structure of depression in dialysis patients

“…Furthermore, depression might make it more difficult for patients to stick to their treatment plan, exacerbating physical symptoms and resulting in poorer health outcomes[ 10 - 12 ]. Several studies have been conducted in recent years to investigate the link between dialysis and depression[ 13 - 17 ]. According to several studies[ 18 - 21 ], depression is more prevalent among dialysis patients than among the general population.…”