Circadian rest-Activity Rhythm disorders (CARDs) are common in patients with cancer, particularly in advanced disease. CARDs are associated with increased symptoms, poorer quality of life, poorer response to anticancer treatments and shorter survival. The goal of this observational study is to see how common CARDs are in patients with advanced cancer and to characterise their rest and activity patterns in more detail. A recent study has outlined a standard way to assess and diagnose a CARD. This study aims to assess patients with advanced cancer for a CARD using a novel screening tool against this newly formed diagnostic criteria. Potentially modifiable risk factors will be considered along with associations between CARDs and symptoms, sleep preferences, sleep quality, daytime sleepiness, quality of life measures and predictors of survival.
Study Type
OBSERVATIONAL
Enrollment
100
Our Lady's Hospice & Care Services
Dublin, Ireland
St James's Hospital
Dublin, Ireland
To measure preliminary concurrent validity of a novel screening tool to identify Circadian rest-Activity Rhythm Disorders in patients with advanced cancer against diagnostic criteria
Assessing the sensitivity and specificity of the screening tool
Time frame: Time 1 (baseline), Time 2 (after 72 consecutive hours of accelerometry monitoring)
To measure test-retest reliability of a novel screening tool to identify Circadian rest-Activity Rhythm Disorders in patients with advanced cancer
Assessing the correlation between scores from the screening tool at two time points
Time frame: Time 1 (baseline), Time 2 (after 72 consecutive hours of accelerometry monitoring)
To measure acceptability and ease of use of a novel screening tool to identify Circadian rest-Activity Rhythm Disorders in patients with advanced cancer
Patient ease of use, understandability, acceptability and time to complete.
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To measure acceptability and ease of use of a novel sleep and activity diary in patients with advanced cancer
Patient ease of use, understandability, and acceptability
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To identify the incidence of Circadian rest-activity Rhythm Disorders in patients with advanced cancer
Incidence of Circadian rest-Activity Rhythm Disorders as identified by diagnostic criteria
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess rest and physical activity patterns in patients with advanced cancer
Combined assessment using wrist and thigh accelerometry alongside a sleep and activity diary
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess the relationship between demographic details and the risk of developing a Circadian rest-Activity Rhythms in patients with cancer
Baseline demographic details collected using a questionnaire
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess the relationship between past medical history and the risk of developing a Circadian rest-Activity Rhythms in patients with cancer
Past medical history collected using a questionnaire
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess the relationship between current medication use and the risk of developing a Circadian rest-Activity Rhythms in patients with cancer
Current medication use collected using a questionnaire
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess the relationship between chronotype and the risk of develop a Circadian rest-Activity Rhythms in patients with cancer
Chronotype assessed using the Morningness-Eveningness Questionnaire (MEQ)
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess the relationship between occupation and the risk of developing a Circadian rest-Activity Rhythms in patients with cancer
Occupation provided by participant using a questionnaire
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess the relationship between cigarette use and the risk of developing a Circadian rest-Activity Rhythms in patients with cancer
Number and timing of last cigarette smoked each day assessed using a patient diary
Time frame: During 72 hours period of monitoring
To assess the relationship between alcohol consumption and the risk of developing a Circadian rest-Activity Rhythms in patients with cancer
Number and timing of alcoholic beverages consumed each day assessed using a patient diary
Time frame: During 72 hours period of monitoring
To assess the relationship between caffeine consumption and the risk of developing a Circadian rest-Activity Rhythms in patients with cancer
Number and timing of last of caffeinated drink consumed each day assessed using a patient diary
Time frame: During 72 hours period of monitoring
To assess associations between Circadian rest-activity Rhythm Disorders in patients with advanced cancer with symptoms
Symptoms measured using the Memorial Symptom Assessment Scale - Short Form (MSAS-SF)
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess associations between Circadian rest-activity Rhythm Disorders in patients with advanced cancer and prognosis
Prognosis measured using the Prognosis in Palliative Care tool (PiPS-B)
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess associations between Circadian rest-activity Rhythm Disorders in patients with advanced cancer with quality of life
Quality of Life measured using the EORTC Quality of Life Questionnaire (EORTC-QLQ-C30)
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess associations between Circadian rest-activity Rhythm Disorders in patients with advanced cancer with sleep quality
Sleep quality measured using the brief Pittsburgh Sleep Quality Instrument (bPSQI)
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
To assess associations between Circadian rest-activity Rhythm Disorders in patients with advanced cancer with daytime sleepiness
Daytime sleepiness assess using the Epworth Sleepiness Scale
Time frame: Time 2 (after 72 consecutive hours of accelerometry monitoring)
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