The cross-lagged association between depressive symptoms and health-related quality of life in patients receiving maintenance hemodialysis: a three-wave longitudinal study

The relationship between night sleep duration, sleep quality and depressive symptoms in Chinese elderly couples

Although there are many studies analysing the relationship between sleep and depression in individuals, there is currently no bi-directional causal relationship between sleep and depression between older couples analysed from a binary perspective.Thus, this study used the CHARLS database to analyse the relationship between sleep and depression among older couples. A binary cross-lagged model was used to analyse the data.The study found an interaction between nighttime sleep duration and depression among older couples. Wife's depressive symptoms were significant predictors of husband's nocturnal sleep duration. Husband's depression and sleep quality predicted wife's sleep quality and depression, respectively. Therefore, when screening community-dwelling older adults for depressive symptoms, we need to be aware of the impact of different sleep profiles of older adults of different genders on spousal depressive symptoms. In addition, when dealing with patients with depressive symptoms, we need to consider not only the patient but also the impact of their depressive symptoms on their spouse.

Analysis of influencing factors on quality of life in patients with chronic kidney disease undergoing maintenance haemodialysis

Objective

To investigate and analyse the quality of life (QoL) of patients with chronic kidney disease (CKD) undergoing maintenance haemodialysis (MHD), explore influencing factors and provide a basis for formulating corresponding intervention measures.

Methods

A cross-sectional study was conducted on 190 patients with CKD undergoing MHD in hospital between March 2021 and March 2022. A general information questionnaire and the Kidney Disease Quality of Life Short Form were used to collect data. The QoL scores of patients with CKD undergoing MHD were calculated and compared by t-test and analysis of variance. Pearson correlation analysis was used to analyse the correlation between QoL scores and related factors. Stepwise multiple linear regression analysis was used to screen the influencing factors of QoL.

Results

The total score of QoL of patients with CKD undergoing MHD was 59.32 ± 11.67, and the scores of physical component summary, mental component summary and kidney disease component summary were 50.21 ± 9.32, 48.76 ± 10.81 and 66.34 ± 12.76, respectively. The QoL scores of patients with CKD undergoing MHD were significantly different in age, education level, marital status, employment status, monthly income, dialysis frequency, dialysis duration and complications (p < 0.05). The QoL scores were positively correlated with education level, monthly income and dialysis frequency, and negatively correlated with age, dialysis duration and blood phosphorus level (p < 0.05). Stepwise multiple linear regression analysis showed that age, education level, employment status, dialysis frequency, dialysis duration and blood phosphorus level were the main influencing factors of QoL (p < 0.05).

Conclusion

The QoL of patients with CKD undergoing MHD is low, and it is affected by multiple factors. We suggest that healthcare workers should pay attention to the physical and mental health of patients with CKD undergoing MHD, provide individualised and comprehensive nursing interventions and improve their QoL.

The bidirectional relationship between head injuries and conduct problems: longitudinal modelling of a population-based birth cohort study

Childhood head injuries and conduct problems increase the risk of aggression and criminality and are well-known correlates. However, the direction and timing of their association and the role of their demographic risk factors remain unclear. This study investigates the bidirectional links between both from 3 to 17 years while revealing common and unique demographic risks. A total of 8,603 participants (50.2% female; 83% White ethnicity) from the Millennium Cohort Study were analysed at 6 timepoints from age 3 to 17. Conduct problems were parent-reported for ages 3 to 17 using the Strengths and Difficulties Questionnaire (SDQ) and head injuries at ages 3 to 14. A cross-lagged path model estimated the longitudinal bidirectional effects between the two whilst salient demographic risks were modelled cumulatively at three ecological levels (child, mother, and household). Conduct problems at age 5 promoted head injuries between 5 and 7 (Z = 0.07; SE = 0.03; 95% CI, 0.02-0.13), and head injuries at ages 7 to 11 promoted conduct problems at age 14 (ß = .0.06; SE = .0.03; 95% CI, 0.01-0.12). Head injuries were associated with direct child-level risk at age 3, whereas conduct problems were associated with direct risks from all ecological levels until 17 years. The findings suggest a sensitive period at 5-11 years for the bidirectional relationship shared between head injuries and conduct problems. They suggest that demographic risks for increased head injuries play an earlier role than they do for conduct problems. Both findings have implications for intervention timing.

Religion and Spiritual Health in Patients With and Without Depression Receiving Hemodialysis: A Cross-Sectional Correlational Study

BACKGROUND

Hemodialysis is the most common therapy for managing patients with end-stage renal disease. Depression is one of the most common psychological problems faced by dialysis patients, and there is limited research on the influences of religion and spirituality on dialysis patients.

PURPOSE

This study was designed to compare religion and spiritual health status between hemodialysis patients with and without depressive symptoms.

METHODS

A cross-sectional survey was conducted on 137 hemodialysis patients living in Taiwan. The self-report instruments used included the Religious Beliefs Scale, Spiritual Health Scale-Short Form, and Beck Depression Inventory-II. Data were analyzed using t test, chi-square test, point-biserial correlation of variance, and logistic regression.

RESULTS

Most (63.5%) of the participants were classified with depression, of which most were male (70.1%), older (mean = 62.56 years), and unemployed (73.6%) and had less formal education. Fifty-two of the participants with depression had a 1- to 5-year duration of hemodialysis, whereas the nondepressed group had a higher mean score for number of religious activities, positive religious beliefs, and total score for spiritual health. Logistic regression showed an increased odds ratio ( OR ) of depression for participants with a duration of hemodialysis of 1-5 years ( OR = 3.64, 95% CI [1.01, 13.15]). Participants with higher scores for spiritual health had a lower risk of depression ( OR = 0.82, 95% CI [0.75, 0.90]), indicating a positive association between spiritual health and lower depression risk.

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

The prevalence rate of depression in hemodialysis patients is higher than that in the general population. Providing screenings for spiritual health and depression as part of routine medical care for hemodialysis patients is recommended to detect spiritual distress and depression early.

Hope, quality of life, and psychological distress in patients on peritoneal dialysis: A cross-sectional study

Hope is a goal-directed thought that reflects the sense of control over uncertainties and can promote adjustment to chronic illness. This study aimed to assess the level of hope among patients on peritoneal dialysis and evaluate the association of hope with health-related quality of life and psychological distress. This cross-sectional study included 134 Chinese patients receiving peritoneal dialysis in Hong Kong. Patients' level of hope was assessed using the Adult Trait Hope Scale. Participants who were employed, had a higher income, and received automated peritoneal dialysis reported a higher hope score. Hope was found to have significant correlations with age and social support. A higher hope score was associated with better mental well-being and less severe depressive symptoms. Specific relationships between agency/pathway thinking and these outcomes were identified. The patient subgroups at risk for losing hope need to be identified and received early interventions to prevent adverse outcomes.

Health inequity associated with financial hardship among patients with kidney failure

Financial hardship is a common challenge among patients with kidney failure and may have negative health consequences. Therefore, financial status is regarded as an important determinant of health, and its impact needs to be investigated. This cross-sectional study aimed to identify the differences in patient-reported and clinical outcomes among kidney failure patients with different financial status. A total of 354 patients with kidney failure were recruited from March to June 2017 at two hospitals in Hong Kong. The Dialysis Symptoms Index and Kidney Disease Quality of Life-36 were used to evaluate patient-reported outcomes. Clinical outcomes were retrieved from medical records and assessed using the Karnofsky Performance Scale (functional status) and Charlson Comorbidity Index (comorbidity level). Patients were stratified using two dichotomised variables, employment status and income level, and their outcomes were compared using independent sample t-tests and Mann-Whitney U-tests. In this sample, the employment rate was 17.8% and the poverty rate was 61.2%. Compared with other patients, increased distress of specific symptoms and higher healthcare utilization, in terms of more emergency room visits and longer hospital stays, were found in patients with poorer financial status. Low-income patients reported a decreased mental quality of life. Financially underprivileged patients experienced health inequity in terms of impaired outcomes. Attention needs to be paid to these patients by providing financial assessments and interventions. Additional research is warranted to confirm these findings and understand the experience of financial hardship and health equity.

Exploration of symptom clusters during hemodialysis and symptom network analysis of older maintenance hemodialysis patients: a cross-sectional study

BACKGROUND

Symptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have established networks of symptoms experienced by older patients on maintenance hemodialysis. Our goal was to examine the type of symptom clusters of older maintenance hemodialysis patients during dialysis and construct a symptom network to understand the symptom characteristics of this population.

METHODS

The modified Dialysis Symptom Index was used for a cross-sectional survey. Network analysis was used to analyze the symptom network and node characteristics, and factor analysis was used to examine symptom clusters.

RESULTS

A total of 167 participants were included in this study. The participants included 111 men and 56 women with a mean age of 70.05 ± 7.40. The symptom burdens with the highest scores were dry skin, dry mouth, itching, and trouble staying asleep. Five symptom clusters were obtained from exploratory factor analysis, of which the clusters with the most severe symptom burdens were the gastrointestinal discomfort symptom cluster, sleep disorder symptom cluster, skin discomfort symptom cluster, and mood symptom cluster. Based on centrality markers, it could be seen that feeling nervous and trouble staying asleep had the highest strength, and feeling nervous and feeling irritable had the highest closeness and betweenness.

CONCLUSIONS

Hemodialysis patients have a severe symptom burden and multiple symptom clusters. Dry skin, itching, and dry mouth are sentinel symptoms in the network model; feeling nervous and trouble staying asleep are core symptoms of patients; feeling nervous and feeling irritable are bridge symptoms in this symptom network model. Clinical staff can formulate precise and efficient symptom management protocols for patients by using the synergistic effects of symptoms in the symptom clusters based on sentinel symptoms, core symptoms, and bridge symptoms.