Physical Behavior Profiles in Chronic Cancer-Related Fatigue

Analysing physical activity measures and clustering in patients with type 2 diabetes in secondary care: insights from the DIAbetes and LifEstyle Cohort Twente (DIALECT)-an observational cohort study

OBJECTIVES

To analyse variance in accelerometer-based physical activity (PA) measures in patients with type 2 diabetes, identify the most distinctive PA measures and classify patients into different PA clusters based on these measures.

DESIGN

DIAbetes and LifEstyle Cohort Twente (DIALECT), an observational cohort study.

SETTING

Secondary care in the Netherlands.

PARTICIPANT

253 patients, with three excluded due to insufficient data. The cohort was predominantly male (66%) with an average age of 64.7 years.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcomes of DIALECT were all-cause mortality, microvascular and macrovascular diseases. The secondary outcomes are blood pressure levels, kidney function indicators and albuminuria levels RESULTS: Principal component analysis (PCA) was applied to 53 accelerometer-derived PA measures. Principal components were identified using a scree plot, key measures determining the principal components were derived and k-mean cluster analysis was applied to the components. The main PA measures were steps/day, active time, zero steps, total sedentary behaviour (SB) bout duration and total moderate to vigorous physical activity (MVPA) bout duration. Based on three PCA components, three clusters were identified. The inactive cluster had a higher BMI, diabetes duration, age and SB bout duration, and lower steps/day and MVPA bout duration compared with the other clusters (p<0.05). The active cluster still scores low on MVPA bout duration (18 min/week) and high on SB bout duration (5.0 hours/day).

CONCLUSIONS

PA behaviour in patients can be categorised into three distinct clusters. The identified PA measures and behaviour clusters offer promising opportunities for tailored lifestyle treatment. However, further studies are needed to determine which PA measures are clinically most relevant, validate the usefulness of this classification and evaluate whether tailoring lifestyle advice according to these clusters adds clinical value.

TRIAL REGISTRATION NUMBER

NTR5855.

Measuring What Is Meaningful in Cancer Cachexia Clinical Trials: A Path Forward With Digital Measures of Real-World Physical Behavior

PURPOSE

The burden of cancer cachexia on patients' health-related quality of life, specifically their physical functioning, is well documented, but clinical trials thus far have failed to show meaningful improvement in physical functioning. The purpose of this review is to summarize existing methods of assessing physical function in cancer cachexia, outline a path forward for measuring what is meaningful to patients using digital measures derived from digital health technologies (DHTs), and discuss the current landscape of digital measures from the clinical and regulatory standpoint.

DESIGN

For this narrative review, peer-reviewed articles were searched on PubMed, clinical trials records were searched on clinicaltrials.gov, and records of digital measures submitted for regulatory qualification were searched on the US Food and Drug Administration's Drug Development Tool Qualification Program database.

RESULTS

There are gaps in assessing aspects of physical function that matter to patients. Existing assessment methods such as patient-reported outcomes and objective performance outcomes have limitations, including their episodic nature and burden to patients. DHTs such as wearable sensors can capture real-world physical behavior continuously, passively, and remotely, and may provide a more comprehensive picture of patients' everyday functioning. Recent regulatory submissions showcase potential clinical implementation of digital measures in various therapeutic areas.

CONCLUSION

Digital measures of real-world physical behavior present an opportunity to detect and demonstrate improvements in physical functioning in cancer cachexia, but evidence-based development is critical. For their use in clinical and regulatory decision making, studies demonstrating meaningfulness to patients as well as feasibility and validation are necessary.

Physical activity for the management of cancer‐related fatigue in adults

This is a protocol for a Cochrane Review (intervention). The objectives are as follows:

The effect of Benson relaxation application ('Bens app') on reducing fatigue in patients with breast cancer undergoing chemotherapy: A quasi-experimental study

Background

Fatigue is the most common symptom in patients with breast cancer undergoing chemotherapy. Benson's relaxation technique is considered effective to reduce fatigue, but its effect in combination with smartphone technology is limited.

Objective

This study aimed to analyze and determine the effect of the Benson relaxation application (Bens app) on fatigue in patients with breast cancer undergoing chemotherapy.

Methods

A quasi-experimental design with a pretest-posttest comparison group was used. Fifty-six patients were included using consecutive sampling technique, of which 28 were assigned to the experimental group (received Benson relaxation technique using Bens app) and comparison group (obtained Benson relaxation technique using booklet). The Benson relaxation was done two times per day for seven days, and the Brief Fatigue Inventory questionnaire was used to measure the patients' fatigue levels. Data were analyzed using paired and independent t-tests.

Results

The experimental group (p = 0.001) and the comparison group (p = 0.015) showed a significant reduction in fatigue after receiving the Benson relaxation for seven days. However, there was a statistically significant difference in fatigue between the experiment and comparison groups after the intervention (t55 = 2.481, p = 0.016).

Conclusion

Benson relaxation could reduce fatigue in patients with breast cancer using the Bens app and booklet. However, the Bens app is considered more effective than a booklet. Therefore, the Bens app can be viewed as an alternative to help patients perform Benson relaxation and integrated into the nurse palliative care program for patients with cancer.

Associations between pre-COVID-19 physical activity profiles and mental wellbeing and quality of life during COVID-19 lockdown among adults

The COVID-19 pandemic has been detrimental to the physical and mental health and wellbeing of people across the globe. Regular physical activity has consistently demonstrated an array of health benefits, but the impact of regular physical activity habits pre-pandemic on health and wellbeing during the pandemic is largely unknown. The purpose of this study was to identify distinct pre-COVID-19 lockdown physical activity profiles [i.e., walking, leisure-time moderate-vigorous physical activity (MVPA), domestic MVPA and muscle strengthening exercise] and assess whether these profiles were associated with mental wellbeing and quality of life during COVID-19 lockdown. A total of 442 adults (Mage = 43.97 ± 13.85; 75.6% female) from Melbourne, Australia completed an online questionnaire measuring pre-COVID-19 physical activity, including walking habits, leisure-time MVPA, domestic MVPA, and muscle strengthening exercise - and completed measures of mental wellbeing and health related quality of life. Latent profile analysis identified five distinct profiles that differed in terms of levels of walking, leisure-time MVPA, domestic MVPA and muscle strengthening exercise. Based on the observed pre-COVID-19 lockdown profiles, it appears that high levels of MVPA and muscle strengthening exercise may serve as a protective factor against the potential negative impact of a global pandemic lockdown on mental wellbeing and quality of life.

Twenty-Four Hour Activity and Sleep Profiles for Adults Living with Arthritis: Habits Matter

OBJECTIVE

To identify 24-hour activity-sleep profiles in adults with arthritis and explore factors associated with profile membership.

METHODS

Our study comprised a cross-sectional cohort and used baseline data from 2 randomized trials studying activity counseling for people with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), or knee osteoarthritis (OA). Participants wore activity monitors for 1 week and completed surveys for demographic information, mood (Patient Health Questionnaire 9), and sitting and walking habits (Self-Reported Habit Index). A total of 1,440 minutes/day were stratified into minutes off body (activity unknown), sleeping, resting, nonambulatory, and intermittent or purposeful ambulation. Latent class analysis determined cluster numbers; baseline-category multinomial logit regression identified factors associated with cluster membership.

RESULTS

Our cohort included 172 individuals, including 51% with RA, 30% with OA, and 19% with SLE. We identified 4 activity-sleep profiles (clusters) that were characterized primarily by differences in time in nonambulatory activity: high sitters (6.9 hours sleep, 1.6 hours rest, 13.2 hours nonambulatory activity, and 1.6 hours intermittent and 0.3 hours purposeful walking), low sleepers (6.5 hours sleep, 1.2 hours rest, 12.2 hours nonambulatory activity, and 3.3 hours intermittent and 0.6 hours purposeful walking), high sleepers (8.4 hours sleep, 1.9 hours rest, 10.4 hours nonambulatory activity, and 2.5 hours intermittent and 0.3 hours purposeful walking), and balanced activity (7.4 hours sleep, 1.5 hours sleep, 9.4 hours nonambulatory activity, and 4.4 hours intermittent and 0.8 hours purposeful walking). Younger age (odds ratio [OR] 0.95 [95% confidence interval (95% CI) 0.91-0.99]), weaker occupational sitting habit (OR 0.55 [95% CI 0.41-0.76]), and stronger walking outside habit (OR 1.43 [95% CI 1.06-1.91]) were each associated with balanced activity relative to high sitters.

CONCLUSION

Meaningful subgroups were identified based on 24-hour activity-sleep patterns. Tailoring interventions based on 24-hour activity-sleep profiles may be indicated, particularly in adults with stronger habitual sitting or weaker walking behaviors.

Movement behaviour patterns in patients with hip and/or knee osteoarthritis in the physical therapy setting: a cross-sectional study

Background

Osteoarthritis is one of the most common chronic joint diseases, mostly affecting the knee or hip through pain, joint stiffness and decreased physical functioning in daily life. Regular physical activity (PA) can help preserve and improve physical functioning and reduce pain in patients with osteoarthritis. Interventions aiming to improve movement behaviour can be optimized by tailoring them to a patients’ starting point; their current movement behaviour. Movement behaviour needs to be assessed in its full complexity, and therefore a multidimensional description is needed.

Objectives

The aim of this study was to identify subgroups based on movement behaviour patterns in patients with hip and/or knee osteoarthritis who are eligible for a PA intervention. Second, differences between subgroups regarding Body Mass Index, sex, age, physical functioning, comorbidities, fatigue and pain were determined between subgroups.

Methods

Baseline data of the clinical trial ‘e-Exercise Osteoarthritis’, collected in Dutch primary care physical therapy practices were analysed. Movement behaviour was assessed with ActiGraph GT3X and GT3X+ accelerometers. Groups with similar patterns were identified using a hierarchical cluster analysis, including six clustering variables indicating total time in and distribution of PA and sedentary behaviours. Differences in clinical characteristics between groups were assessed via Kruskall Wallis and Chi² tests.

Results

Accelerometer data, including all daily activities during 3 to 5 subsequent days, of 182 patients (average age 63 years) with hip and/or knee osteoarthritis were analysed. Four patterns were identified: inactive & sedentary, prolonged sedentary, light active and active. Physical functioning was less impaired in the group with the active pattern compared to the inactive & sedentary pattern. The group with the prolonged sedentary pattern experienced lower levels of pain and fatigue and higher levels of physical functioning compared to the light active and compared to the inactive & sedentary.

Conclusions

Four subgroups with substantially different movement behaviour patterns and clinical characteristics can be identified in patients with osteoarthritis of the hip and/or knee. Knowledge about these subgroups can be used to personalize future movement behaviour interventions for this population.

Trial registration

Dutch clinical trial registration number of e-Exercise Osteoarthritis: NTR4224.

Three distinct physical behavior types in fatigued patients with multiple sclerosis

Background

Multiple sclerosis often leads to fatigue and changes in physical behavior (PB). Changes in PB are often assumed as a consequence of fatigue, but effects of interventions that aim to reduce fatigue by improving PB are not sufficient. Since the heterogeneous nature of MS related symptoms, levels of PB of fatigued patients at the start of interventions might vary substantially. Better understanding of the variability by identification of PB subtypes in fatigued patients may help to develop more effective personalized rehabilitation programs in the future. This study aimed to identify PB subtypes in fatigued patients with multiple sclerosis based on multidimensional PB outcome measures.

Methods

Baseline accelerometer (Actigraph) data, demographics and clinical characteristics of the TREFAMS-ACE participants (n = 212) were used for secondary analysis. All patients were ambulatory and diagnosed with severe fatigue based on a score of ≥35 on the fatigue subscale of the Checklist Individual Strength (CIS20r). Fifteen PB measures were used derived from 7 day measurements with an accelerometer. Principal component analysis was performed to define key outcome measures for PB and two-step cluster analysis was used to identify PB types.

Results

Analysis revealed five key outcome measures: percentage sedentary behavior, total time in prolonged moderate-to-vigorous physical activity, number of sedentary bouts, and two types of change scores between day parts (morning, afternoon and evening). Based on these outcomes three valid PB clusters were derived.

Conclusions

Patients with severe MS-related fatigue show three distinct and homogeneous PB subtypes. These PB subtypes, based on a unique set of PB outcome measures, may offer an opportunity to design more individually-tailored interventions in rehabilitation.

Trial registration

Clinical trial registration no ISRCTN 82353628, ISRCTN 69520623 and ISRCTN 58583714.

Electronic supplementary material

The online version of this article (10.1186/s12984-019-0573-1) contains supplementary material, which is available to authorized users.

Which cancer survivors are at risk for a physically inactive and sedentary lifestyle? Results from pooled accelerometer data of 1447 cancer survivors

Background

Physical activity has beneficial effects on the health of cancer survivors. We aimed to investigate accelerometer-assessed physical activity and sedentary time in cancer survivors, and describe activity profiles. Additionally, we identify demographic and clinical correlates of physical activity, sedentary time and activity profiles.

Methods

Accelerometer, questionnaire and clinical data from eight studies conducted in four countries (n = 1447) were pooled. We calculated sedentary time and time spent in physical activity at various intensities using Freedson cut-points. We used latent profile analysis to identify activity profiles, and multilevel linear regression analyses to identify demographic and clinical variables associated with accelerometer-assessed moderate to vigorous physical activity (MVPA), sedentary time, the highly active and highly sedentary profile, adjusting for confounders identified using a directed acyclic graph.

Results

Participants spent on average 26 min (3%) in MVPA and 568 min (66%) sedentary per day. We identified six activity profiles. Older participants, smokers and participants with obesity had significantly lower MVPA and higher sedentary time. Furthermore, men had significantly higher MVPA and sedentary time than women and participants who reported less fatigue had higher MVPA time. The highly active profile included survivors with high education level and normal body mass index. Haematological cancer survivors were less likely to have a highly active profile compared to breast cancer survivors. The highly sedentary profile included older participants, males, participants who were not married, obese, smokers, and those < 12 months after diagnosis.

Conclusions

Cancer survivors engage in few minutes of MVPA and spend a large proportion of their day sedentary. Correlates of MVPA, sedentary time and activity profiles can be used to identify cancer survivors at risk for a sedentary and inactive lifestyle.

Electronic supplementary material

The online version of this article (10.1186/s12966-019-0820-7) contains supplementary material, which is available to authorized users.

Movement behavior profiles and obesity: a latent profile analysis of 24-h time-use composition among Danish workers

BACKGROUND/OBJECTIVES

An element of obesity prevention is increasing total physical activity energy expenditure. However, this approach does not incorporate the balance of various movement behaviors-physical activity, sedentary behaviors and sleep-across domains of the day. We aimed to identify time-use profiles over work and leisure, termed 'movement behavior profiles' and to investigate their association with obesity.

SUBJECTS/METHODS

Eight-hundred-and-seven workers completed (a) thigh accelerometry and diaries to determine their 24-h composition of behaviors (sedentary and standing, light physical activity and moderate-to-vigorous physical activity at work and leisure, and time in bed) and (b) obesity measurements. Movement behavior profiles were determined using latent profile analyses of isometric log-ratios of the 24-h composition, and labeled according to animal movement behavior traits. Linear models were applied to determine the association between profiles and obesity.

RESULTS

Four profiles were identified, labeled as "Chimpanzees" (n = 226), "Lions" (n = 179), "Ants" (n = 244), and "Koalas" (n = 158). "Chimpanzees" work time was evenly distributed between behaviors while their leisure time was predominantly active. Compared to Chimpanzees, "Lions" were more active at work and sedentary during leisure and spent more time in bed; "Ants" were more active at work and during leisure; "Koalas" were more sedentary at work and leisure and spent similar time in bed. With "Chimpanzees" as reference, "Lions" had least favorable obesity indicators: +2.0 (95% confidence interval [CI] 0.6, 3.4) %body fat, +4.3 cm (1.4, 7.3) waist circumference and +1.0 (2.0, 0.0) Body Mass Index (BMI), followed by "Koalas" +2.0 (0.4, 3.7) %body fat, +3.1 cm (0.1, 6.0) waist circumference, and +0.8 (-0.30, 1.94) BMI. No significant differences were found between "Chimpanzees" and "Ants".

CONCLUSIONS

Movement behavior profiles across work and leisure time-use compositions are associated with obesity. Achieving adequate balance between work and leisure movement behaviors should be further investigated as a potential obesity prevention strategy.

Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis

PURPOSE

To identify "activity phenotypes" from accelerometer-derived activity characteristics among young adults.

METHODS

Participants were young adults (n = 628, mean age, 22.1, SD 0.6) in the Raine Study in Western Australia. Sex-specific latent class analyses identified sub-groups using eight indicators derived from 7-day hip-worn Actigraph GT3X+ accelerometers: daily steps, total daily moderate-to-vigorous physical activity (MVPA), MVPA variation, MVPA intensity, MVPA bout duration, sedentary-to-light ratio, sedentary-to-light ratio variation, and sedentary bout duration.

RESULTS

Five activity phenotypes were identified for women (n = 324) and men (n = 304). Activity phenotype 1 for both women (35%) and men (30%) represented average activity characteristics. Phenotype 2 for women (17%) and men (16%) was characterized by below average total activity and MVPA (10.6 and 16.7 min of MVPA/day, women and men respectively). Phenotype 3 for women (15%) and men (23%) was characterized by below average total physical activity, average MVPA (32.6 and 36.5 min/day), high sedentary-light ratio and long sedentary bouts. Phenotype 4 differed between women (29%) and men (18%) but both had low sedentary-to-light ratios and shorter sedentary bouts. Finally, phenotype 5 in both women (4%) and men (12%) was characterized by extreme MVPA metrics (81.3 and 96.1 min/day).

CONCLUSIONS

Five activity phenotypes were identified for each gender in this population of young adults which can help design targeted interventions to enhance or modulate activity phenotypes.

Physical behavior and associations with health outcomes in operable NSCLC patients: A prospective study

OBJECTIVES

Our objectives were to 1) characterize daily physical behavior of operable non-small cell lung cancer (NSCLC) patients, from preoperative to six months postoperative using accelerometry, and explore if physical behavior preoperative or one month postoperative is associated with better health outcomes at six months postoperative.

METHODS

A prospective study with 23 patients (13 female) diagnosed with primary NSCLC and scheduled for curative lung resection was performed. Outcome measures were assessed two weeks preoperative, and one, three and six months postoperative, and included accelerometer-derived physical behavior measures and the following health outcomes: six minute walking distance (6MWD), questionnaires concerning health-related quality of life (HRQOL), fatigue and distress.

RESULTS

On group average, physical behavior showed significant changes over time. Physical behavior worsened following surgery, but improved between one and six months postoperative, almost reaching preoperative levels. However, physical behavior showed high variability between patients in both amount as well as change over time. More time in moderate-to-vigorous physical activity in bouts of 10 min or longer in the first month postoperative was significantly associated with better 6MWD, HRQOL, distress, and fatigue at six months postoperative.

CONCLUSION

As expected, curative lung resection impacts physical behavior. Patients who were more active in the first month following surgery reported better health outcome six months postoperative. The large variability in activity patterns over time observed between patients, suggests that physical behavior 'profiling' through detailed monitoring of physical behavior could facilitate tailored goal setting in interventions that target change in physical behavior.