Back

Physical activity traits from wrist sensors correlate with clinical status in pediatric pulmonary hypertension

Avitabile, C.; Chen, P.-W.; Zemel, B.; Faig, W.; Mitchell, J. A.

2025-10-28 pediatrics
10.1101/2025.10.26.25338733 medRxiv
Show abstract

Physical activity (PA) estimated by a wearable sensor may reflect clinical status in pediatric pulmonary hypertension (PH). Prior studies used research-grade hip-anchored sensors or commercial wrist sensors with proprietary scoring algorithms. Wrist sensors offer better acceptability in children, however, their ability to detect associations between PA and clinical characteristics is unknown. Youth 8-18 years with PH [Groups 1-4, functional class (FC) I-II] and healthy controls wore a GENEActiv accelerometer on the non-dominant wrist for 14 days. Raw acceleration data were processed using the open-source GGIR R-package. Participants completed a 6-minute walk distance (6MWD) and quality-of-life questionnaire. Muscle mass and strength were assessed by densitometry and handgrip dynamometry. Most recent cardiac testing was extracted from the medical record. Groups were compared by Fishers exact test, unpaired t-test, or Wilcoxon rank sum test. Multivariate regression models assessed for associations between PA and clinical metrics. Thirty PH participants (median 13.9 years, 57% female, 57% Group 1, 50% FC I) and 29 controls were included. Total PA was similar. PH participants demonstrated fewer and shorter bouts of moderate-to-vigorous PA [≥]10 minutes and more time spent at lower PA intensities. In PH participants, muscle mass was positively associated with PA but 6MWD was negatively associated with PA. PA was not associated with quality-of-life. Within the PH group, worse PA traits were associated with lower FC and worse clinical testing. Wrist sensors reveal deficits in PA traits including reduced moderate-to-vigorous activity bouts and lower intensity gradients in pediatric PH.

Published in Pulmonary Circulation (predicted rank #1) · training set

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

Pulmonary Circulation · published here
10 papers in training set
Top 0.1%
30.7%
2
PLOS ONE
5266 papers in training set
Top 22%
7.8%
3
Journal of the American Heart Association
140 papers in training set
Top 1%
6.2%
4
Pediatric Pulmonology
14 papers in training set
Top 0.1%
4.8%
5
Frontiers in Pediatrics
32 papers in training set
Top 0.2%
4.0%
50% of probability mass above
6
BMJ Open
601 papers in training set
Top 6%
3.5%
7
Journal of Cachexia, Sarcopenia and Muscle
33 papers in training set
Top 0.2%
3.2%
8
Scientific Reports
3612 papers in training set
Top 39%
2.7%
9
European Respiratory Journal
59 papers in training set
Top 0.4%
2.6%
10
Physiological Measurement
14 papers in training set
Top 0.2%
2.1%
11
Journal of Hypertension
10 papers in training set
Top 0.2%
2.1%
12
Frontiers in Cardiovascular Medicine
53 papers in training set
Top 1%
2.1%
13
BMJ Paediatrics Open
24 papers in training set
Top 0.3%
1.9%
14
Hypertension
36 papers in training set
Top 0.4%
1.7%
15
JCI Insight
277 papers in training set
Top 4%
1.7%
16
The Journal of Pediatrics
16 papers in training set
Top 0.2%
1.7%
17
The Journal of Infectious Diseases
202 papers in training set
Top 3%
1.1%
18
Journal of Biomechanics
64 papers in training set
Top 0.7%
1.1%
19
Children
10 papers in training set
Top 0.5%
1.0%
20
Communications Medicine
113 papers in training set
Top 4%
1.0%
21
Journal of The Royal Society Interface
235 papers in training set
Top 4%
1.0%
22
Pilot and Feasibility Studies
14 papers in training set
Top 0.6%
0.9%
23
Medicine & Science in Sports & Exercise
16 papers in training set
Top 0.5%
0.8%
24
PLOS Digital Health
106 papers in training set
Top 4%
0.8%
25
Journal of Cystic Fibrosis
15 papers in training set
Top 0.1%
0.8%
26
BMJ Open Respiratory Research
35 papers in training set
Top 0.9%
0.6%
27
Open Heart
21 papers in training set
Top 1%
0.6%