As patients and family caregivers are increasingly viewed as a dyadic whole, growing studies have emerged that identify ways to improve the two parties’ emotional distress. However, the specific effectiveness, quality, and optimal intervention details of these studies are unclear. Our objective is to synthesize the effectiveness of existing dyadic interventions for improving the psychological distress of cancer patient-caregiver dyads and identify potential moderators that influence intervention effectiveness. PubMed, Cochrane Library, Web of Science, CINHAL, Embase, and Clinical Trials were searched to identify all randomized controlled trials from inception until June 2021. Two reviewers performed the process independently. The Cochrane Risk of Bias tool was used for quality assessment. We calculated effect sizes (Hedges’ adjusted g) by standard mean difference. Potential moderators influencing the intervention effects were explored. We included 28 articles, of which 12 were available for meta-analysis. In total, 4784 participants were included, who were primarily middle-aged (M ​= ​58 years old), with the highest proportion reporting a diagnosis of “mixed cancer” (30%). Patients’ anxiety (g ​= ​−0.31; 95% CI: ​−0.51 to −0.12; P ​= ​0.001; I² ​= ​17%) and cancer-related distress (g ​= ​−0.32; 95% CI: ​−0.46 to −0.18; P ​< ​0.0001; I² ​= ​0%) were statistically significantly improved from baseline to post-intervention. Interventionist, delivery type, duration, and frequency were potential moderators for psychosocial interventions on negative emotions. Face-to-face, relatively shorter interventions led by psychologists in moderator analysis seem to have better performance. Cancer dyad-based interventions were efficacious in improving the emotional distress of both parties in the dyad, but the effect was more apparent in patients than in family caregivers. However, the long-term effects were modest for both groups.

An extended car-following model is proposed in this paper by using the generalized optimal velocity function and considering the multivelocity differences. The stability condition of the model is derived by using the linear stability theory. From the reductive perturbation method and nonlinear analysis, the Korteweg–de Vries (KdV) and modified Korteweg–de Vries (mKdV) equations are derived to describe the traffic behaviors near the neutral stability line and around the critical point, respectively. The corresponding soliton wave and kink-antikink soliton solution are used to describe the different traffic jams. It is found that the generalized optimal velocity function and multivelocity differences consideration can further stabilize traffic flow and suppress traffic jams. The theoretical results are well verified through numerical simulations.

Aim: To investigate the effect of social support on psychological distress among Chinese lung cancer patients and clarify the mediating role of self‐esteem.Design: A cross‐sectional descriptive correlational survey of 441 Chinese lung cancer patients was designed.Methods: Self‐esteem was supposed to play a mediating role in the association between social support and psychological distress. We collected demographic information, the Distress Thermometer, Multidimensional Scale of Perceived Social Support and Rosenberg Self‐Esteem Scale.Results: Our revised model demonstrated an acceptable fit to the data (χ² = 37.489, comparative fit index (CFI) = 0.965, Tucker‐Lewis index (TLI) = 0.926, root mean square error of approximation [RMSEA] = 0.099). Social support had a direct effect on self‐esteem and psychological distress, and self‐esteem had also a direct effect on psychological distress. Meanwhile, self‐esteem also partially mediated the relationship between social support and psychological distress among Chinese lung cancer patients.

This study adopted a dyadic analysis method to examine the effect of perceived stress on emotional distress and determine whether relationship satisfaction and distress disclosure act as mediators in colorectal cancer (CRC) enterostomy patient-caregiver dyads. A total of 312 patient-caregiver dyads completed measures assessing perceived stress, relationship satisfaction, distress disclosure, and emotional distress. The data were analyzed using the actor-partner interdependence mediation model. This study found that the perceived stress of patients and caregivers both had direct and indirect actor effects on emotional distress (through relationship satisfaction). Another important finding is that perceived stress had indirect actor-partner effects (through distress disclosure) on emotional distress. This study highlights that perceived stress, relationship satisfaction, and distress disclosure of patients and their caregivers are key factors that can be considered for improving emotional distress. It also partially confirmed the interdependence of patients with CRC and their caregivers.