Movement behaviour in adults with haemophilia compared to healthy adults

Timmer, Merel A.; Pisters, Martijn F.; Kleijn, P. de; Bie, Rob A. de; Schutgens, Roger E. G.; Veenhof, Cindy

doi:10.1111/hae.13441

Cited by 19 publications

(27 citation statements)

References 20 publications

(51 reference statements)

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“…Physical activity behaviour of children and adolescent PWH was found to be at least equally active than that of healthy controls 14,15 . In contrast, a study that objectively assessed the physical activity of adult PWH concluded that the movement behaviour of adults with severe haemophilia differs from healthy adults, mainly due to less walking and less running 16 . To our knowledge, no objective measurement of time spent in different intensities of physical activity in adult PWH has been carried out to date.…”

Section: Introductionmentioning

confidence: 80%

“…14,15 In contrast, a study that objectively assessed the physical activity of adult PWH concluded that the movement behaviour of adults with severe haemophilia differs from healthy adults, mainly due to less walking and less running. 16 To our knowledge, no objective measurement of time spent in different intensities of physical activity in adult PWH has been carried out to date. Generally, a minimum of 150 min of moderate or 75 min of vigorous-intensity physical activity (or a combination of both) per week is recommended for adults to improve cardiorespiratory and muscular fitness, bone health and reduce the risk of non-communicable diseases and depression.…”

Section: Introductionmentioning

confidence: 99%

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Lower physical activity and altered body composition in patients with haemophilia compared with healthy controls

et al. 2021

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Section: Introductionmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Lower physical activity and altered body composition in patients with haemophilia compared with healthy controls

et al. 2021

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“…Previous research already showed that PWH are less physically active than healthy adults, but show similar sedentary behaviour. 3 Furthermore, previous studies indicated that PA level is explained only in small part by joint health. 11 This is supported by the findings in the current study, which show that only persons with a ‘bikers and runners’ movement pattern have a better joint health, but that joint health of PWH with a ‘walkers’ or ‘sedentary’ movement pattern is comparable.…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, adults with severe haemophilia are less physically active than healthy adults. 3 In patients with osteoarthritis (OA) avoidance of activities and more sedentary time induce a negative vicious circle of disuse, loss of muscle mass, reduced joint stability, proprioception and postural control and increased limitations in activities. 4 Given the similarities in pathogenesis of HA and OA, similar effects in persons with haemophilia (PWH) can be postulated.…”

Section: Introductionmentioning

confidence: 99%

Movement behaviour patterns in adults with haemophilia

Timmer

Veenhof

Kleijn

et al. 2020

Therapeutic Advances in Hematology

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Background: Joint bleeds are the hallmark of haemophilia, and can lead to disabling haemophilic arthropathy. Consequently, the movement behaviour of adults with haemophilia differs from that of healthy adults. It seems unlikely that a single outcome is able to reflect all relevant information regarding movement behaviour. The aim of the current study was to identify patterns of movement behaviour within persons with haemophilia (PWH) and compare clinical characteristics between patterns of movement behaviour. Methods: A total of 105 PWH [70% severe haemophilia; median age 43 years (30.0–54.0)] were included in the study. Hierarchical cluster analysis was used to identify patterns of movement behaviour. Clustering variables included seven parameters of movement behaviour: sitting, standing, walking, biking, running, frequency of active bouts and length of active bouts. Clinical characteristics included age, severity of haemophilia, joint health, physical functioning and pain. Clinical characteristics were compared between identified clusters by Kruskall–Wallis test. Movement behaviour was assessed with the Activ8 accelerometer, joint health was assessed on the Haemophilia Joint Health Score, physical functioning on the Haemophilia Activity List and the 40 m self-paced walk test and pain on the Numerical Pain Rating Score. Results: Cluster analysis identified three clusters, which were defined as: ‘sedentary’ (57%), ‘bikers and runners’ (22%) and ‘walkers’ (20%). The ‘bikers and runners’ showed better joint health and experienced fewer limitations in activities than the ‘walkers’ and the ‘sedentary’. The ‘walkers’ perceived fewer limitations in activities than the ‘sedentary’, with comparable joint health. We did not identify differences in pain, walking speed and age between the clusters. Conclusions: We identified three patterns of movement behaviour. The majority of PWH was identified as sedentary, whereas less sitting and regular walking during the day seemed to be more beneficial.

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“…Recently, several studies have employed research-grade accelerometers (ActiGraph GT3X, ActiTrac, etc.) to objectively monitor the amount and intensity of PA [26,27,28,29], but despite being widely used in biomedical research, commercial activity monitors in PWH have been used only in a few works. Using pedometers, Goto et al reported the number of steps/day in a case report [30] and in a cohort of 16 patients included in a self-monitoring program [31], and Pérez-Alenda et al quantified the daily PA in seven patients using a Fitbit wristband [32].…”

Section: Introductionmentioning

confidence: 99%

Physical Activity Monitoring and Acceptance of a Commercial Activity Tracker in Adult Patients with Haemophilia

Carrasco

Pérez‐Alenda

Casaña

et al. 2019

IJERPH

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Physical activity (PA) is highly beneficial for people with haemophilia (PWH), however, studies that objectively monitor the PA in this population are scarce. This study aimed to monitor the daily PA and analyse its evolution over time in a cohort of PWH using a commercial activity tracker. In addition, this work analyses the relationship between PA levels, demographics, and joint health status, as well as the acceptance and adherence to the activity tracker. Twenty-six PWH were asked to wear a Fitbit Charge HR for 13 weeks. According to the steps/day in the first week, data were divided into two groups: Active Group (AG; ≥10,000 steps/day) and Non-Active Group (NAG; <10,000 steps/day). Correlations between PA and patient characteristics were studied using the Pearson coefficient. Participants’ user experience was analysed with a questionnaire. The 10,000 steps/day was reached by 57.7% of participants, with 12,603 (1525) and 7495 (1626) being the mean steps/day of the AG and NAG, respectively. In general, no significant variations (p > 0.05) in PA levels or adherence to wristband were produced. Only the correlation between very active minutes and arthropathy was significant (r = −0.40, p = 0.045). Results of the questionnaire showed a high level of satisfaction. In summary, PWH are able to comply with the PA recommendations, and the Fitbit wristband is a valid tool for a continuous and long-term monitoring of PA. However, by itself, the use of a wristband is not enough motivation to increase PA levels.

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Movement behaviour in adults with haemophilia compared to healthy adults

Cited by 19 publications

References 20 publications

Lower physical activity and altered body composition in patients with haemophilia compared with healthy controls

Lower physical activity and altered body composition in patients with haemophilia compared with healthy controls

Movement behaviour patterns in adults with haemophilia

Physical Activity Monitoring and Acceptance of a Commercial Activity Tracker in Adult Patients with Haemophilia

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