Validation of the Questionnaire for Symptom Assessment in Pain disorders for Back pain patients (Q‐SAP)

Otto, Jan Carl; Gierthmühlen, Janne; Kirchhofer, Viktoria; Borzikowsky, Christoph; Baron, Ralf

doi:10.1002/ejp.1690

Cited by 6 publications

(4 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Healthy participants were divided into “young” (aged 18-60 years) and “older” (aged > 60 years). Participants with neurological disorders included individuals with Parkinson disease (according to the UK Brain Bank criteria [ 38 ]), multiple sclerosis (according to McDonalds criteria [ 39 ]), subacute stroke (<4 weeks), or lower-back pain as indicated on the basis of the patients’ medical history and diagnosis upon examination [ 40 ].…”

Section: Methodsmentioning

confidence: 99%

Turning When Using Smartphone in Persons With and Those Without Neurologic Conditions: Observational Study

Bianchini¹,

Warmerdam²,

Romijnders³

et al. 2023

J Med Internet Res

Self Cite

View full text Add to dashboard Cite

Background Turning during walking is a relevant and common everyday movement and it depends on a correct top-down intersegmental coordination. This could be reduced in several conditions (en bloc turning), and an altered turning kinematics has been linked to increased risk of falls. Smartphone use has been associated with poorer balance and gait; however, its effect on turning-while-walking has not been investigated yet. This study explores turning intersegmental coordination during smartphone use in different age groups and neurologic conditions. Objective This study aims to evaluate the effect of smartphone use on turning behavior in healthy individuals of different ages and those with various neurological diseases. Methods Younger (aged 18-60 years) and older (aged >60 years) healthy individuals and those with Parkinson disease, multiple sclerosis, subacute stroke (<4 weeks), or lower-back pain performed turning-while-walking alone (single task [ST]) and while performing 2 different cognitive tasks of increasing complexity (dual task [DT]). The mobility task consisted of walking up and down a 5-m walkway at self-selected speed, thus including 180° turns. Cognitive tasks consisted of a simple reaction time test (simple DT [SDT]) and a numerical Stroop test (complex DT [CDT]). General (turn duration and the number of steps while turning), segmental (peak angular velocity), and intersegmental turning parameters (intersegmental turning onset latency and maximum intersegmental angle) were extracted for head, sternum, and pelvis using a motion capture system and a turning detection algorithm. Results In total, 121 participants were enrolled. All participants, irrespective of age and neurologic disease, showed a reduced intersegmental turning onset latency and a reduced maximum intersegmental angle of both pelvis and sternum relative to head, thus indicating an en bloc turning behavior when using a smartphone. With regard to change from the ST to turning when using a smartphone, participants with Parkinson disease reduced their peak angular velocity the most, which was significantly different from lower-back pain relative to the head (P<.01). Participants with stroke showed en bloc turning already without smartphone use. Conclusions Smartphone use during turning-while-walking may lead to en bloc turning and thus increase fall risk across age and neurologic disease groups. This behavior is probably particularly dangerous for those groups with the most pronounced changes in turning parameters during smartphone use and the highest fall risk, such as individuals with Parkinson disease. Moreover, the experimental paradigm presented here might be useful in differentiating individuals with lower-back pain without and those with early or prodromal Parkinson disease. In individuals with subacute stroke, en bloc turning could represent a compensative strategy to overcome the newly occurring mobility deficit. Considering the ubiquitous smartphone use in daily life, this study should stimulate future studies in the area of fall risk and neurological and orthopedic diseases. Trial Registration German Clinical Trials Register DRKS00022998; https://drks.de/search/en/trial/DRKS00022998

show abstract

Section: Methodsmentioning

confidence: 99%

Turning When Using Smartphone in Persons With and Those Without Neurologic Conditions: Observational Study

Bianchini¹,

Warmerdam²,

Romijnders³

et al. 2023

J Med Internet Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study will include healthy adults (18–60 years), healthy older adults (>60 years), and patients with PD (according to the UK Brain Bank Criteria [ 12 ]), MS (according to the McDonalds criteria [ 13 ]), patients with a recent (<4 weeks) symptomatic stroke and patients with CLBP, whose patients characteristics are described elsewhere [ 14 ]. Healthy adults will be recruited via flyers that will be placed in public facilities.…”

Section: Methodsmentioning

confidence: 99%

Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol

Warmerdam

Romijnders

Geritz

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

Healthy adults and neurological patients show unique mobility patterns over the course of their lifespan and disease. Quantifying these mobility patterns could support diagnosing, tracking disease progression and measuring response to treatment. This quantification can be done with wearable technology, such as inertial measurement units (IMUs). Before IMUs can be used to quantify mobility, algorithms need to be developed and validated with age and disease-specific datasets. This study proposes a protocol for a dataset that can be used to develop and validate IMU-based mobility algorithms for healthy adults (18–60 years), healthy older adults (>60 years), and patients with Parkinson’s disease, multiple sclerosis, a symptomatic stroke and chronic low back pain. All participants will be measured simultaneously with IMUs and a 3D optical motion capture system while performing standardized mobility tasks and non-standardized activities of daily living. Specific clinical scales and questionnaires will be collected. This study aims at building the largest dataset for the development and validation of IMU-based mobility algorithms for healthy adults and neurological patients. It is anticipated to provide this dataset for further research use and collaboration, with the ultimate goal to bring IMU-based mobility algorithms as quickly as possible into clinical trials and clinical routine.

show abstract

“…Healthy participants were divided into "younger" (age 18-45 years) and "older" (age ≥ 60 years). Participants with neurological disorders included patients with PD [according to the UK Brain Bank criteria (51)], MS [according to McDonalds criteria (52)], recent symptomatic stroke (<4 weeks), and cLBP, diagnosed on the basis of the patient's medical history and examination (53).…”

Section: Populationmentioning

confidence: 99%

Cognitive dual-task cost depends on the complexity of the cognitive task, but not on age and disease

Bianchini

Warmerdam²,

Romijnders³

et al. 2022

Front. Neurol.

View full text Add to dashboard Cite

IntroductionDual-tasking (DT) while walking is common in daily life and can affect both gait and cognitive performance depending on age, attention prioritization, task complexity and medical condition. The aim of the present study was to investigate the effects of DT on cognitive DT cost (DTC) (i) in a dataset including participants of different age groups, with different neurological disorders and chronic low-back pain (cLBP) (ii) at different levels of cognitive task complexity, and (iii) in the context of a setting relevant to daily life, such as combined straight walking and turning.Materials and methodsNinety-one participants including healthy younger and older participants and patients with Parkinson's disease, Multiple Sclerosis, Stroke and cLBP performed a simple reaction time (SRT) task and three numerical Stroop tasks under the conditions congruent (StC), neutral (StN) and incongruent (StI). The tasks were performed both standing (single task, ST) and walking (DT), and DTC was calculated. Mixed ANOVAs were used to determine the effect of group and task complexity on cognitive DTC.ResultsA longer response time in DT than in ST was observed during SRT. However, the response time was shorter in DT during StI. DTC decreased with increasing complexity of the cognitive task. There was no significant effect of age and group on cognitive DTC.ConclusionOur results suggest that regardless of age and disease group, simple cognitive tasks show the largest and most stable cognitive effects during DT. This may be relevant to the design of future observational studies, clinical trials and for clinical routine.

show abstract

Validation of the Questionnaire for Symptom Assessment in Pain disorders for Back pain patients (Q‐SAP)

Cited by 6 publications

References 49 publications

Turning When Using Smartphone in Persons With and Those Without Neurologic Conditions: Observational Study

Turning When Using Smartphone in Persons With and Those Without Neurologic Conditions: Observational Study

Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol

Cognitive dual-task cost depends on the complexity of the cognitive task, but not on age and disease

Contact Info

Product

Resources

About