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Hinchliffe C, Rehman RZU, Pinaud C, Branco D, Jackson D, Ahmaniemi T, Guerreiro T, Chatterjee M, Manyakov NV, Pandis I, Davies K, Macrae V, Aufenberg S, Paulides E, Hildesheim H, Kudelka J, Emmert K, Van Gassen G, Rochester L, van der Woude CJ, Reilmann R, Maetzler W, Ng WF, Del Din S. Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility study. J Neuroeng Rehabil 2024; 21:94. [PMID: 38840208 PMCID: PMC11151484 DOI: 10.1186/s12984-024-01390-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 05/21/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Many individuals with neurodegenerative (NDD) and immune-mediated inflammatory disorders (IMID) experience debilitating fatigue. Currently, assessments of fatigue rely on patient reported outcomes (PROs), which are subjective and prone to recall biases. Wearable devices, however, provide objective and reliable estimates of gait, an essential component of health, and may present objective evidence of fatigue. This study explored the relationships between gait characteristics derived from an inertial measurement unit (IMU) and patient-reported fatigue in the IDEA-FAST feasibility study. METHODS Participants with IMIDs and NDDs (Parkinson's disease (PD), Huntington's disease (HD), rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), primary Sjogren's syndrome (PSS), and inflammatory bowel disease (IBD)) wore a lower-back IMU continuously for up to 10 days at home. Concurrently, participants completed PROs (physical fatigue (PF) and mental fatigue (MF)) up to four times a day. Macro (volume, variability, pattern, and acceleration vector magnitude) and micro (pace, rhythm, variability, asymmetry, and postural control) gait characteristics were extracted from the accelerometer data. The associations of these measures with the PROs were evaluated using a generalised linear mixed-effects model (GLMM) and binary classification with machine learning. RESULTS Data were recorded from 72 participants: PD = 13, HD = 9, RA = 12, SLE = 9, PSS = 14, IBD = 15. For the GLMM, the variability of the non-walking bouts length (in seconds) with PF returned the highest conditional R2, 0.165, and with MF the highest marginal R2, 0.0018. For the machine learning classifiers, the highest accuracy of the current analysis was returned by the micro gait characteristics with an intrasubject cross validation method and MF as 56.90% (precision = 43.9%, recall = 51.4%). Overall, the acceleration vector magnitude, bout length variation, postural control, and gait rhythm were the most interesting characteristics for future analysis. CONCLUSIONS Counterintuitively, the outcomes indicate that there is a weak relationship between typical gait measures and abnormal fatigue. However, factors such as the COVID-19 pandemic may have impacted gait behaviours. Therefore, further investigations with a larger cohort are required to fully understand the relationship between gait and abnormal fatigue.
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Affiliation(s)
- Chloe Hinchliffe
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst, 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK
| | | | | | - Diogo Branco
- LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Dan Jackson
- Open Lab, School of Computing, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Tiago Guerreiro
- LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | | | | | | | - Kristen Davies
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst, 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK
| | - Victoria Macrae
- NIHR Newcastle Clinical Research Facility, Newcastle Upon Tyne, UK
- National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | | | - Emma Paulides
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Hanna Hildesheim
- Department of Neurology, University Medical Center Schleswig-Holstein Campus, Kiel, Germany
| | - Jennifer Kudelka
- Department of Neurology, University Medical Center Schleswig-Holstein Campus, Kiel, Germany
| | - Kirsten Emmert
- Department of Neurology, University Medical Center Schleswig-Holstein Campus, Kiel, Germany
| | | | - Lynn Rochester
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst, 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK
- National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - C Janneke van der Woude
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | | | - Walter Maetzler
- Department of Neurology, University Medical Center Schleswig-Holstein Campus, Kiel, Germany
| | - Wan-Fai Ng
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst, 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK
- NIHR Newcastle Clinical Research Facility, Newcastle Upon Tyne, UK
- National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Silvia Del Din
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst, 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK.
- National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.
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Hosseini ZS, Tavafian SS, Ahmadi O, Maghbouli R. The Ergonomic Behaviors Evaluation Tool (EBET) based on social cognitive theory for the assembly line workers: development and psychometric assessment. BMC Public Health 2024; 24:1242. [PMID: 38711084 DOI: 10.1186/s12889-024-18738-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 04/29/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND Ergonomic behaviors play a crucial role in preventing work-related musculoskeletal disorders (WMSDs). To measure these behaviors, this research aimed to develop and evaluate an ergonomic behaviors tool (EBET) based on the Social Cognitive Theory (SCT) among women workers on assembly lines (WwAL). METHODS The study was conducted from December 2022 to January 2023 with a focus on the psychometric assessment of EBET. Initially, a literature review and interviews were carried out to identify crucial concepts and primary items. The questionnaire's validity was evaluated using the Content Validity Ratio (CVR) and the Content Validity Index (CVI). To determine the domains of the tool, construct validity was examined by administering the items to 270 eligible women. The reliability of the tool was assessed using McDonald's Omega coefficient. RESULTS From a total of 67 primary items, 50 were confirmed. The study demonstrated good validity with CVR = 0.92 and CVI = 0.97, along with reliable results indicated by McDonald's Omega coefficient of 0.74. The exploratory factor analysis (EFA) revealed ten distinct dimensions: outcome expectations, outcome expectancies, normative beliefs, perceived barriers, social support, observational learning, reinforcement, behavioral skills, self-efficacy, and intention. Together, these dimensions accounted for 66.25% of the variance in the data. Additionally, the confirmatory factor analysis results supported the presence of these ten constructs and demonstrated a satisfactory fit. CONCLUSIONS EBET is a dependable and valid instrument for evaluating the ergonomic behaviors of workers, utilizing the principles of SCT. Researchers can employ EBET to gather data and implement suitable training interventions to enhance ergonomic behavior among WwAL. However, it is crucial to recognize that EBET may not encompass all facets of ergonomic behaviors. Therefore, it is imperative for future research to prioritize the evaluation of EBET's suitability among diverse worker populations and to consider additional dimensions of ergonomics to ensure its wider applicability and effectiveness.
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Affiliation(s)
- Zakieh Sadat Hosseini
- Department of Health Education and Health Promotion, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Sedigheh Sadat Tavafian
- Department of Health Education and Health Promotion, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
| | - Omran Ahmadi
- Department of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Reza Maghbouli
- School of Medicine, Hasheminejad Hospital, Iran University of Medical Sciences, Tehran, Iran.
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Xu H, Wu C, Xiang S, Qiu S, Chen Y, Takashi E, Yanagihara K, Xie P. Psychosocial markers of pre-hospital delay in patients with diabetic foot: A cross-sectional survey. Nurs Open 2024; 11:e2088. [PMID: 38268288 PMCID: PMC10803947 DOI: 10.1002/nop2.2088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 12/04/2023] [Accepted: 12/21/2023] [Indexed: 01/26/2024] Open
Abstract
AIM This study aimed to determine the psychosocial markers associated with pre-hospital delay among patients with diabetic foot (DF). DESIGN This study has a cross-sectional design. METHODS The participants completed a questionnaire including pre-hospital time, demographic characteristics, Social Support Rate Scale, Brief Illness Perception Questionnaire and Type D Personality Scale-14. Bivariate and multivariate analyses were conducted to explore independent associations with pre-hospital delay. RESULTS Only 1.8% (3/164) of participants arrived at the hospital for medical care in 24 h of symptom onset. Patients with low utilization of social support (p = 0.029), low negative illness perceptions (p = 0.014) and high levels of negative affectivity (p = 0.009) are likely to arrive late at the clinic. Medical staff should pay attention to identifying diabetic patients' Type D personalities and take actions to improve their social support as well as illness perception, so as to reduce the occurrence of hospital delay. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE Psychosocial factors play a vital role in the delay in seeking medical treatment for patients with DF. Medical staff need to improve patients' illness perception as well as self-management ability through health education. Importantly, key family members provide an emotional and psychological support system for diabetic patients. Therefore, nurses need to work with family members together to give information and psychological support during family visits. Additionally, building and maintaining trust with patients is crucial to encouraging individuals to express their concerns and worries. In this case, nurses may identify patients' negative emotions and conduct timely intervention, so as to achieve favourable outcomes. PATIENT OR PUBLIC CONTRIBUTION This study used a convenience sample of 164 participants with DF recruited from the wound clinic of Northern Jiangsu People's Hospital and Yangzhou Hospital of TCM in China.
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Affiliation(s)
- Huiwen Xu
- School of Nursing & Public HealthYangzhou UniversityYangzhouJiangsuChina
- Nagano College of NursingKomaganeNaganoJapan
| | - Chen Wu
- School of Nursing & Public HealthYangzhou UniversityYangzhouJiangsuChina
| | | | - Shuang Qiu
- Yangzhou Hospital of Traditional Chinese MedicineYangzhouJiangsuChina
| | - Yan Chen
- Northern Jiangsu People's Hospital Affiliated to Yangzhou University/Clinical Medical CollegeYangzhou UniversityYangzhouJiangsuChina
| | - En Takashi
- Nagano College of NursingKomaganeNaganoJapan
| | | | - Ping Xie
- Northern Jiangsu People's Hospital Affiliated to Yangzhou University/Clinical Medical CollegeYangzhou UniversityYangzhouJiangsuChina
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Elkefi S. Exploring Predictors of Social Media Use for Health and Wellness during COVID-19 among Adults in the US: A Social Cognitive Theory Application. Healthcare (Basel) 2023; 12:39. [PMID: 38200945 PMCID: PMC10779354 DOI: 10.3390/healthcare12010039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/08/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
During COVID-19, SM media was relied upon for health-related information-seeking and activity support. This study uses the social cognitive theory (SCT) and a representative dataset of the population in the US to explore the factors influencing patients' perceptions of SM for health-related activities. As per SCT, consolidated factors comprised personal factors (sociodemographic, health perception, self-efficacy) and environmental factors (social isolation, purpose in life). Multivariate logistic regression analysis was conducted. Among the 6252 respondents, 95.15% rarely use SM to share personal health-related information, and 90.44% rarely use it to share general health-related information. Older individuals and Whites are less likely to consider SM for healthcare decisions. Education levels influence SM's perceived reliability. Those with positive health perceptions find SM more suitable for healthcare discussions. Socially-isolated individuals are less likely to use SM for healthcare. Those with a strong sense of purpose are less inclined to trust it for health decisions and may question its accuracy. SM-based interventions should address sociodemographic differences. Our findings contribute to the literature by SCT relevance validation in identifying the antecedents of SM use in healthcare. Our results also help to understand the challenges to its adoption. This can help enhance SM-based communication strategies and interventions.
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Affiliation(s)
- Safa Elkefi
- School of Nursing, Columbia University, New York, NY 10032, USA; ; Tel.: +1-(201)-744-1208
- Hphactors Lab, New York, NY 10022, USA
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Woelfle T, Bourguignon L, Lorscheider J, Kappos L, Naegelin Y, Jutzeler CR. Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective. J Med Internet Res 2023; 25:e44428. [PMID: 37498655 PMCID: PMC10415952 DOI: 10.2196/44428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/19/2022] [Accepted: 05/04/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Wearable sensor technologies have the potential to improve monitoring in people with multiple sclerosis (MS) and inform timely disease management decisions. Evidence of the utility of wearable sensor technologies in people with MS is accumulating but is generally limited to specific subgroups of patients, clinical or laboratory settings, and functional domains. OBJECTIVE This review aims to provide a comprehensive overview of all studies that have used wearable sensors to assess, monitor, and quantify motor function in people with MS during daily activities or in a controlled laboratory setting and to shed light on the technological advances over the past decades. METHODS We systematically reviewed studies on wearable sensors to assess the motor performance of people with MS. We scanned PubMed, Scopus, Embase, and Web of Science databases until December 31, 2022, considering search terms "multiple sclerosis" and those associated with wearable technologies and included all studies assessing motor functions. The types of results from relevant studies were systematically mapped into 9 predefined categories (association with clinical scores or other measures; test-retest reliability; group differences, 3 types; responsiveness to change or intervention; and acceptability to study participants), and the reporting quality was determined through 9 questions. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. RESULTS Of the 1251 identified publications, 308 were included: 176 (57.1%) in a real-world context, 107 (34.7%) in a laboratory context, and 25 (8.1%) in a mixed context. Most publications studied physical activity (196/308, 63.6%), followed by gait (81/308, 26.3%), dexterity or tremor (38/308, 12.3%), and balance (34/308, 11%). In the laboratory setting, outcome measures included (in addition to clinical severity scores) 2- and 6-minute walking tests, timed 25-foot walking test, timed up and go, stair climbing, balance tests, and finger-to-nose test, among others. The most popular anatomical landmarks for wearable placement were the waist, wrist, and lower back. Triaxial accelerometers were most commonly used (229/308, 74.4%). A surge in the number of sensors embedded in smartphones and smartwatches has been observed. Overall, the reporting quality was good. CONCLUSIONS Continuous monitoring with wearable sensors could optimize the management of people with MS, but some hurdles still exist to full clinical adoption of digital monitoring. Despite a possible publication bias and vast heterogeneity in the outcomes reported, our review provides an overview of the current literature on wearable sensor technologies used for people with MS and highlights shortcomings, such as the lack of harmonization, transparency in reporting methods and results, and limited data availability for the research community. These limitations need to be addressed for the growing implementation of wearable sensor technologies in clinical routine and clinical trials, which is of utmost importance for further progress in clinical research and daily management of people with MS. TRIAL REGISTRATION PROSPERO CRD42021243249; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=243249.
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Affiliation(s)
- Tim Woelfle
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Lucie Bourguignon
- Department of Health Sciences and Technology, ETH Zurich, Zürich, Switzerland
| | - Johannes Lorscheider
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Yvonne Naegelin
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
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Lin JB, Zhu SS. The influencing factors of individual interest in physical education based on decision tree model: A cross-sectional study. Front Psychol 2022; 13:1015441. [PMID: 36300076 PMCID: PMC9589482 DOI: 10.3389/fpsyg.2022.1015441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
To identify the key influencing factors and analyze the internal relationship among the factors of individual interest in PE, we conducted a cross-sectional survey of a large sample of Chinese young students based on the decision tree model. A total of 3,640 young students (Mage = 14.16; 7–18 years; SD = 2.66, 47% boys) were investigated by using six questionnaires, including individual interest in physical PE, self-efficacy, achievement goals, expectancy value in PE, PE knowledge and skills and PE learning environment. Results showed there were a total of seven variables entered into the decision tree model, which was 3 layers high, including 38 nodes. The root node was expectancy value which was divided by sports knowledge and skills and self-efficacy. The third layer included mastery-approach goal, family sports environment, performance-avoidance goal and gender. The results depict that expectancy value of PE was the most important influencing factors of adolescent students’ individual interest in PE in this study, and the other important factors were sports knowledge and skills, self-efficacy, mastery-approach goal, family sports environment, performance-avoidance goal, and gender, respectively. The implications for PE are: (1) Improve the status of the PE curriculum and enhance students’ recognition of the value of PE; (2) Strengthen the teaching of knowledge and skills to avoid low-level repetitive teaching; (3) Enhance success experience and foster sports self-efficacy; and (4) Establish reasonable sports goals to foster individual interest in sports learning.
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Affiliation(s)
- Jia Bin Lin
- School of Physical Education, Changchun Normal University, Changchun, China
| | - Shan Shan Zhu
- School of Physical Education, Northeast Normal University, Changchun, Jilin Province, China
- *Correspondence: Shan Shan Zhu,
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