The role of physical, cognitive and social factors in pain interference with activities of daily living among individuals with chronic cancer pain

Expósito‐Vizcaíno, Sonia; Sánchez‐Rodríguez, Elisabet; Miró, Jordi

doi:10.1111/ecc.13203

Cited by 9 publications

(12 citation statements)

References 44 publications

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“…The variables found to provide rules for the interpretation of the cluster structure reflect not only pain-related coping, but also factors that explain better coping in general among breast cancer survivors. In contrast, in patients with active disease, pain catastrophizing has been associated with the pain interference [56]. Therefore, the results cannot be generalised to other patient groups.…”

Section: Discussionmentioning

confidence: 77%

Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments

2020

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Background: Persistent pain in breast cancer survivors is common. Psychological and sleep-related factors modulate perception, interpretation and coping with pain and may contribute to the clinical phenotype. The present analysis pursued the hypothesis that breast cancer survivors form subgroups, based on psychological and sleep-related parameters that are relevant to the impact of pain on the patients' life. Methods: We analysed 337 women treated for breast cancer, in whom psychological and sleep-related parameters as well as parameters related to pain intensity and interference had been acquired. Data were analysed by using supervised and unsupervised machine-learning techniques (i) to detect patient subgroups based on the pattern of psychological or sleep-related parameters, (ii) to interpret the detected cluster structure and (iii) to relate this data structure to pain interference and impact on life. Results: Artificial intelligence-based detection of data structure, implemented as self-organizing neuronal maps, identified two different clusters of patients. A smaller cluster (11.5% of the patients) had comparatively lower resilience, more depressive symptoms and lower extraversion than the other patients. In these patients, life-satisfaction, mood, and life in general were comparatively more impeded by persistent pain. Conclusions: The results support the initial hypothesis that psychological and sleep-related parameter patterns are meaningful for subgrouping patients with respect to how persistent pain after breast cancer treatments interferes with their life. This indicates that management of pain should address more complex features than just pain intensity. Artificial intelligence is a useful tool in the identification of subgroups of patients based on psychological factors.

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Section: Discussionmentioning

confidence: 77%

Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments

2020

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“…The total score is obtained by computing the mean for the seven items, resulting in an interference score that could range from 0 to 10. The BPI is a widely used tool with multiples studies supporting its reliability and validity [ 49 , 50 , 51 , 52 ], including studies with Spanish-speaking individuals [ 53 , 54 , 55 ]. The Cronbach’s alpha of the pain interference scale in the current sample was 0.92, indicating excellent internal consistency.…”

Section: Methodsmentioning

confidence: 99%

Electronic Health Literacy in Individuals with Chronic Pain and Its Association with Psychological Function

Castarlenas

Sánchez‐Rodríguez

Roy

et al. 2021

IJERPH

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Electronic health literacy skills and competences are important for empowering people to have an active role in making appropriate health care decisions. The aims of this cross-sectional study were to (1) examine the frequency of use of the Internet for seeking online information about chronic pain, (2) determine the level of eHealth literacy skills in the study sample, (3) identify the factors most closely associated with higher levels of eHealth literacy, and (4) examine self-efficacy as a potential mediator of the association between eHealth literacy and measures of pain and function in a sample of adults with chronic pain. One-hundred and sixty-one adults with chronic pain completed measures assessing internet use, eHealth literacy, pain interference, anxiety, depression, and pain-related self-efficacy. Results indicated that 70% of the participants are active users of the Internet for seeking information related to their health. The level of eHealth literacy skills was not statistically significantly associated with participants’ age or pain interference but was significantly negatively associated with both anxiety and depression. In addition, the findings showed that self-efficacy fully explained the relationship between eHealth literacy and depression and partially explained the relationship between eHealth literacy and anxiety. Self-efficacy should be considered as a treatment target in eHealth literacy interventions, due to its role in explaining the potential benefits of eHealth literacy.

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“…The trajectories of change for molecular aging and cognition appear to have a phase shift. However, such impairment-level outcomes often have small to moderate association with performance with activities of daily living (Expósito-Vizcaíno et al, 2020). Performance of ADLs is affected by a constellation of factors external to the body structure and function including social environment (Yoo et al, 2010), lifestyle behaviors (Blanchard et al, 2003), and psychological resilience (Deshields et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Examination of Cancer and Aging Through Activities of Daily Living: A National Health and Aging Trends Study Analysis

et al. 2021

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Objectives: This study longitudinally examined how older adult cancer survivors perceive disability in activities of daily living over time compared to older adults who have not had cancer. Methods: This was a secondary analysis of the National Health and Aging Trends Study examining participants with a new cancer diagnosis and age-, gender-, and comorbidity-matched comparison participants without a history of cancer. Generalized linear mixed models examined time and group interaction and main effects in disability. Results: There was a significant main effect of time ( F 4,771 = 12.81; p < .0001) demonstrating increasing disability levels for both groups. There were significant group differences, with higher disability in the cancer group than the comparison group (β = 0.628, SE = 0.263; t = 2.39, p = 0.017). Discussion: Although perceived disability was greater immediately following cancer diagnosis, older adult cancer survivors and comparison participants appear to have similar perceived disability over time.

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The role of physical, cognitive and social factors in pain interference with activities of daily living among individuals with chronic cancer pain

Cited by 9 publications

References 44 publications

Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments

Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments

Electronic Health Literacy in Individuals with Chronic Pain and Its Association with Psychological Function

Examination of Cancer and Aging Through Activities of Daily Living: A National Health and Aging Trends Study Analysis

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