In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 12 ( 2022-12-28), p. e0270731-
Abstract:
Walking is an important skill with positive impacts on health, function, and well-being. Many disorders impair walking and its positive impacts through a variety of complex and interrelated mechanisms. Any attempt to understand walking impairments, or the effects of interventions intended to treat these impairments, must respect this complexity. Therefore, our main objectives in conducting this study were to (1) propose a comprehensive model for quantifying the causes and consequences of walking impairments and (2) demonstrate the potential utility of the model for supporting clinical care and addressing basic scientific questions related to walking. To achieve these goals, we introduced a model, described by a directed acyclic graph, consisting of 10 nodes and 23 primary causal paths. We gave detailed descriptions of each node and path based on domain knowledge. We then demonstrated the model’s utility using a large sample of gait data (N = 9504) acquired as part of routine care at a regional referral center. We analyzed five relevant examples that involved many of the model’s nodes and paths. We computed causal effect magnitudes as Shapley values and displayed the overall importance of variables (mean absolute Shapley value), the variation of Shapley values with respect to underlying variables, and Shapley values for individual observations (case studies). We showed that the model was plausible, captured some well-known cause-effect relationships, provided new insights into others, and generated novel hypotheses requiring further testing through simulation or experiment. To aid in transparency, reproducibility, and future enhancements we have included an extensively commented Rmarkdown file and a deidentified data set.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0270731
DOI:
10.1371/journal.pone.0270731.g001
DOI:
10.1371/journal.pone.0270731.g002
DOI:
10.1371/journal.pone.0270731.g003
DOI:
10.1371/journal.pone.0270731.g004
DOI:
10.1371/journal.pone.0270731.g005
DOI:
10.1371/journal.pone.0270731.g006
DOI:
10.1371/journal.pone.0270731.g007
DOI:
10.1371/journal.pone.0270731.g008
DOI:
10.1371/journal.pone.0270731.g009
DOI:
10.1371/journal.pone.0270731.g010
DOI:
10.1371/journal.pone.0270731.g011
DOI:
10.1371/journal.pone.0270731.g012
DOI:
10.1371/journal.pone.0270731.g013
DOI:
10.1371/journal.pone.0270731.g014
DOI:
10.1371/journal.pone.0270731.g015
DOI:
10.1371/journal.pone.0270731.t001
DOI:
10.1371/journal.pone.0270731.t002
DOI:
10.1371/journal.pone.0270731.t003
DOI:
10.1371/journal.pone.0270731.t004
DOI:
10.1371/journal.pone.0270731.t005
DOI:
10.1371/journal.pone.0270731.s001
DOI:
10.1371/journal.pone.0270731.s002
DOI:
10.1371/journal.pone.0270731.s003
DOI:
10.1371/journal.pone.0270731.s004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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