72 research outputs found

    The relationship between acceptance of cancer and distress: A meta-analytic review

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    Acceptance of cancer has long been recognized as playing a critical role in psychological adjustment to the illness, but its associations with distress outcomes have not been quantitatively reviewed. Informed by coping theory and third wave conceptualizations of acceptance, we first propose an integrated model of acceptance of cancer. Then we examine the strength of the relationships between acceptance of cancer and general and cancer-specific distress in cancer patients and potential moderators of these relationships. CINAHL, Embase, MEDLINE, PsycINFO, PsycARTICLES, and Web of Science databases were searched. Random-effects meta-analyses were conducted on 78 records (N = 15,448). Small-to-moderate, negative, and significant relationships were found between acceptance of cancer and general distress (r = −0.31; 95% CI: −0.36 to −0.26, k = 75); cancer-specific distress (r = −0.18; 95% CI: −0.21 to −0.14, k = 13); depressive symptoms (r = −0.25; 95% CI: −0.31 to −0.19, k = 41); and anxiety symptoms (r = −0.22; 95% CI: −0.30 to −0.15, k = 29). Age, marital status, and stage of cancer were identified as significant moderators. Findings suggest that acceptance of cancer may be important to target in interventions to reduce general and cancer-specific distress in cancer patients. Future research should focus on developing multifaceted measures of acceptance and identifying theory-based psychological and social processes that lead to greater acceptance

    Network-Aware AutoML Framework for Software-Defined Sensor Networks

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    As the current detection solutions of distributed denial of service attacks (DDoS) need additional infrastructures to handle high aggregate data rates, they are not suitable for sensor networks or the Internet of Things. Besides, the security architecture of software-defined sensor networks needs to pay attention to the vulnerabilities of both software-defined networks and sensor networks. In this paper, we propose a network-aware automated machine learning (AutoML) framework which detects DDoS attacks in software-defined sensor networks. Our framework selects an ideal machine learning algorithm to detect DDoS attacks in network-constrained environments, using metrics such as variable traffic load, heterogeneous traffic rate, and detection time while preventing over-fitting. Our contributions are two-fold: (i) we first investigate the trade-off between the efficiency of ML algorithms and network/traffic state in the scope of DDoS detection. (ii) we design and implement a software architecture containing open-source network tools, with the deployment of multiple ML algorithms. Lastly, we show that under the denial of service attacks, our framework ensures the traffic packets are still delivered within the network with additional delays

    Acceptance and commitment therapy for symptom interference in metastatic breast cancer patients: a pilot randomized trial

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    PURPOSE: Breast cancer is the leading cause of cancer mortality in women worldwide. With medical advances, metastatic breast cancer (MBC) patients often live for years with many symptoms that interfere with activities. However, there is a paucity of efficacious interventions to address symptom-related suffering and functional interference. Thus, this study examined the feasibility and preliminary efficacy of telephone-based acceptance and commitment therapy (ACT) for symptom interference with functioning in MBC patients. METHODS: Symptomatic MBC patients (N = 47) were randomly assigned to six telephone sessions of ACT or six telephone sessions of education/support. Patients completed measures of symptom interference and measures assessing the severity of pain, fatigue, sleep disturbance, depressive symptoms, and anxiety. RESULTS: The eligibility screening rate (64%) and high retention (83% at 8 weeks post-baseline) demonstrated feasibility. When examining within-group change, ACT participants showed decreases in symptom interference (i.e., fatigue interference and sleep-related impairment; Cohen's d range = - 0.23 to - 0.31) at 8 and 12 weeks post-baseline, whereas education/support participants showed minimal change in these outcomes (d range = - 0.03 to 0.07). Additionally, at 12 weeks post-baseline, ACT participants showed moderate decreases in fatigue and sleep disturbance (both ds = - 0.43), whereas education/support participants showed small decreases in these outcomes (ds = - 0.24 and - 0.18 for fatigue and sleep disturbance, respectively). Both the ACT and education/support groups showed reductions in depressive symptoms (ds = - 0.27 and - 0.28) at 12 weeks post-baseline. Group differences in all outcomes were not statistically significant. CONCLUSIONS: ACT shows feasibility and promise in improving fatigue and sleep-related outcomes in MBC patients and warrants further investigation

    Research Review: Childhood chronic physical illness and adult emotional health - a systematic review and meta-analysis

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    Background Childhood chronic physical illness is associated with a greater vulnerability for emotional problems (i.e. depression and anxiety) in childhood. However, little is known about life‐long effects of childhood chronic physical illness on mental health. The present study aims to systematically review evidence for associations between eight chronic physical illnesses with childhood onset (arthritis, asthma, cancer, chronic renal failure, congenital heart disease, cystic fibrosis, type 1 diabetes, and epilepsy) and adult emotional problems. Methods A database search of MEDLINE, PsycARTICLES, PsycINFO, and ScienceDirect was undertaken, and random effects meta‐analyses were used to synthesise evidence from eligible studies. Results In total, 37 studies were eligible for the systematic review (n = 45,733) and of these, 34 studies were included in the meta‐analyses (n = 45,358). There were overall associations between childhood chronic physical illness and adult depression (OR = 1.31; 95% CI [1.12, 1.54]) and anxiety (OR = 1.47; 95% CI [1.13, 1.92]). Separate meta‐analyses for childhood asthma, type 1 diabetes and cancer were also conducted, with cancer being significantly associated with adult depression (OR = 1.19; 95% CI [1.00, 1.42]). Conclusions The effects of childhood chronic physical illness on the risk of emotional problems persist beyond childhood and adolescence. Mental health prevention and intervention strategies targeting children with chronic physical illnesses can have long‐term benefits

    Examining Cross-Cultural Relationships Between Meaning in Life and Psychological Well-Being in Turkey and the United States

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    This study explored the extent to which meaning in life (i.e., presence and search) relates to different aspects of psychological well-being in American and Turkish students. It also assessed whether presence of meaning moderated the relationship between search for meaning and psychological well-being. American (N =377) and Turkish (N =225) undergraduates completed demographics and self-report measures. Simple and moderated moderation analyses were conducted. In both samples, presence and search were negatively associated. In addition, presence of meaning was positively associated with measures of psychological well-being, while search was negatively associated. Presence of meaning buffered the relationship between search for meaning and psychological well-being, but only in the Turkish sample. American and Turkish undergraduates may typically search for meaning when presence of meaning is low. Presence of meaning appears to be adaptive across these two cultures, whereas search for meaning appears to be culturally-specific and may produce differential effects on psychological well-being

    Acceptance and Commitment Therapy for Symptom Interference in Advanced Lung Cancer and Caregiver Distress: A Pilot Randomized Trial

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    Context Advanced lung cancer patients typically have a poor prognosis and many symptoms that interfere with functioning, contributing to high rates of emotional distress in both patients and family caregivers. There remains a need for evidence-based interventions to improve functional outcomes and distress in this population. Objectives This pilot trial examined the feasibility and preliminary efficacy of telephone-based Acceptance and Commitment Therapy (ACT) for symptomatic, advanced lung cancer patients and their distressed family caregivers. Primary outcomes were patient symptom interference with functioning and patient and caregiver distress. Methods Symptomatic, advanced lung cancer patients and distressed caregivers (n = 50 dyads) were randomly assigned to six sessions of ACT or an education/support condition. Patients completed measures of symptom interference and measures assessing the severity of fatigue, pain, sleep disturbance, and breathlessness. Patients and caregivers completed measures of distress and illness acceptance and struggle. Results The eligibility screening rate (51%) and retention rate (76% at six weeks postintervention) demonstrated feasibility. No group differences were found with respect to patient and caregiver outcomes. Both groups showed a small, significant decrease in struggle with the illness over the study period, but did not show meaningful change in other outcomes. Conclusion Findings suggest that telephone-based ACT is feasible for many advanced lung cancer patients and caregivers, but may not substantially reduce symptom interference and distress. Low baseline levels of certain symptoms may have contributed to null findings. Next steps include applying ACT to specific, clinically meaningful symptom interference and varying intervention dose and modality

    Social correlates of mental health in gastrointestinal cancer patients and their family caregivers: Exploring the role of loneliness

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    Purpose The present study examined the degree to which loneliness mediated the influence of negative (social constraints) and positive (emotional support) relationship qualities on the global mental health of advanced gastrointestinal (GI) cancer patients and their family caregivers. Methods Fifty patient-caregiver dyads completed measures assessing social constraints (e.g., avoidance, criticism) from the other dyad members, emotional support from others, loneliness, and global mental health. Structural equation modeling was used to examine individual models, and Actor-Partner Interdependence Mediation Modeling was used to examine dyadic associations. Results Individual path analyses for patients and caregivers demonstrated that emotional support had a significant indirect effect on mental health through loneliness (Bs = 0.32 and 0.30, respectively), but no associations were found between social constraints and mental health. In dyadic analyses, participants’ loneliness and mental health were not significantly related to their partner’s emotional support, loneliness, or mental health (Bs = − 0.18 to 0.18). Conclusions Findings suggest that for advanced GI cancer patients and caregivers, emotional support from others alleviates feelings of loneliness, which may lead to better mental health. However, the benefits of emotional support appear to be primarily intrapersonal rather than interpersonal in nature. Additionally, participants endorsed low levels of social constraints, which might explain their lack of relation to loneliness and mental health. Continued examination of interdependence in social processes between cancer patients and caregivers will inform intervention development

    Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach

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    Self-organization is a key strategy for improving the performance of an aerial swarm ad hoc network. The proliferation of low-cost VTOL drones has broadened the application domain of aerial swarms, and the need for synchronized communication among network entities has become crucial. However, existing ad hoc approaches struggle to maintain multi-hop connections in contested environments characterized by frequent topology changes and intermittent links. To overcome these limitations, we introduced STDMA protocol, which enables the self-configuration of drones without reliance on a ground controller. In continuation of the earlier work, we conduct extensive experiments to evaluate the performance of the proposed protocol. Comparative simulation experiments cover various scenarios with different network sizes, frame lengths, and traffic loads. The STDMA protocol achieves optimal access delay in highly contested environments and reduces delay by approximately 19.181%. Moreover, it exhibits improved channel utilization compared to the E-ASAP/SM protocol, with a 4.5 times increase

    Comparative responsiveness and minimally important difference of Fatigue Symptom Inventory (FSI) scales and the FSI-3 in trials with cancer survivors

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    Background Fatigue is a highly prevalent and disabling symptom in cancer survivors. Although many measures have been developed to assess survivors’ fatigue, their ability to accurately capture change following intervention has rarely been assessed in post-treatment survivors. Ultra-brief fatigue measures are preferable in clinical practice but have limited evidence supporting their use with cancer survivors. We examined the psychometric properties of four Fatigue Symptom Inventory (FSI) measures, including the new FSI-3, in cancer survivors. Examined properties included responsiveness to change and minimally important differences (MIDs). Methods We analyzed data from three randomized controlled trials with post-treatment cancer survivors (N = 328). Responsiveness to change was evaluated by comparing standardized response means for survivors who reported their fatigue as being better, the same, or worse at 2–3 months. Responsiveness to intervention was assessed via effect sizes, and MIDs were estimated by using several methods. We also computed area under the curve (AUC) values to assess FSI measures’ discriminative accuracy compared to an established cut-point. Results All FSI measures differentiated survivors who reported improvement at 2–3 months from those with stable fatigue, but did not uniformly differentiate worsening fatigue from stable fatigue. Measures showed similar levels of responsiveness to intervention, and MIDs ranged from 0.29 to 2.20 across FSI measures. AUC analyses supported the measures’ ability to detect significant fatigue. Conclusions Four FSI scales show similar responsiveness to change, and estimated MIDs can inform assessment of meaningful change in fatigue. The FSI-3 shows promise as an ultra-brief fatigue measure for survivors
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