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1.
BMJ Open ; 13(11): e073534, 2023 11 22.
Article in English | MEDLINE | ID: mdl-37993169

ABSTRACT

INTRODUCTION: Millions of people survive injuries to the central or peripheral nervous system for which neurorehabilitation is required. In addition to the physical and cognitive impairments, many neurorehabilitation patients experience pain, often not widely recognised and inadequately treated. This is particularly true for multiple sclerosis (MS) patients, for whom pain is one of the most common symptoms. In clinical practice, pain assessment is usually conducted based on a subjective estimate. This approach can lead to inaccurate evaluations due to the influence of numerous factors, including emotional or cognitive aspects. To date, no objective and simple to use clinical methods allow objective quantification of pain and the diagnostic differentiation between the two main types of pain (nociceptive vs neuropathic). Wearable technologies and artificial intelligence (AI) have the potential to bridge this gap by continuously monitoring patients' health parameters and extracting meaningful information from them. Therefore, we propose to develop a new automatic AI-powered tool to assess pain and its characteristics during neurorehabilitation treatments using physiological signals collected by wearable sensors. METHODS AND ANALYSIS: We aim to recruit 15 participants suffering from MS undergoing physiotherapy treatment. During the study, participants will wear a wristband for three consecutive days and be monitored before and after their physiotherapy sessions. Measurement of traditionally used pain assessment questionnaires and scales (ie, painDETECT, Doleur Neuropathique 4 Questions, EuroQoL-5-dimension-3-level) and physiological signals (photoplethysmography, electrodermal activity, skin temperature, accelerometer data) will be collected. Relevant parameters from physiological signals will be identified, and AI algorithms will be used to develop automatic classification methods. ETHICS AND DISSEMINATION: The study has been approved by the local Ethical Committee (285-2022-SPER-AUSLBO). Participants are required to provide written informed consent. The results will be disseminated through contributions to international conferences and scientific journals, and they will also be included in a doctoral dissertation. TRIAL REGISTRATION NUMBER: NCT05747040.


Subject(s)
Artificial Intelligence , Neurological Rehabilitation , Humans , Feasibility Studies , Pain/diagnosis , Pain/etiology , Physical Therapy Modalities
2.
Front Neurol ; 14: 1171163, 2023.
Article in English | MEDLINE | ID: mdl-37409022

ABSTRACT

Background: The Berg Balance Scale (BBS) is one of the most used tools to quantify balance in Persons with Multiple Sclerosis, a population at high risk of falling. Aim: To evaluate the measurement characteristics of the BBS in Multiple Sclerosis through Rasch analysis. Design: Retrospective study. Setting: Outpatients in three Italian Rehabilitation centers. Population: Eight hundred and fourteen persons with Multiple Sclerosis able to stand independently for more than 3 s. Methods: The sample (N = 1,220) was split into one validating (B1) and three confirmatory subsamples. Following the Rasch analysis performed on B1, the item estimates were exported and anchored to the three confirmatory subsamples. After obtaining the same final solution across all samples, we studied the convergent and discriminant validity of the final BBS-MS using the EDSS, the ABC scale, and the number of falls. Results: The base analysis on the B1 subsample failed the monotonicity, local independence, and unidimensionality requirements and did not fit the Rasch model. After grouping locally dependent items, the BBS-MS fitted the model (χ28 = 23.8; p = 0.003) and satisfied all requirements for adequate internal construct validity (ICV). However, it was mistargeted to the sample, given the striking prevalence of higher scores (targeting index 1.922) with a distribution-independent Person Separation Index sufficient for individual measurements (0.962). The B1 item estimates were anchored to the confirmatory samples with confirmation of adequate fit (χ2 = [19.0, 22.8], value of ps = [0.015, 0.004]) and satisfaction of all ICV requirements for all subsamples. The final BBS-MS directly correlated with the ABC scale (rho = 0.523) and inversely with EDSS (rho = -0.573). The BBS-MS estimates significantly differed across groups according to the pre-specified hypotheses (between the three EDSS groups, between the ABC cut-offs, distinguishing 'fallers' vs. 'non-fallers', and between the 'low' vs. 'moderate' vs. 'high' levels of physical functioning; and, finally, between 'no falls' vs. 'one or more falls'). Conclusion: This study supports the internal construct validity and reliability of the BBS-MS in an Italian multicentre sample of persons with Multiple Sclerosis. However, as the scale is slightly mistargeted to the sample, it represents a candidate tool to assess balance, mainly in more disabled people with an advanced walking disability.

3.
Front Psychol ; 10: 1105, 2019.
Article in English | MEDLINE | ID: mdl-31156517

ABSTRACT

This study explored attachment networks in committed couples who differed in parenting choice and relationship status. Attachment networks were defined in terms of attachment functions, attachment strength, the presence of a primary figure, and full-blown attachments. Participants were 198 couples, married or cohabiting, either expecting their first child or childless-by-choice. Results indicated that participants relied most strongly on partners for all attachment functions except secure base, for which they relied on mothers to a similar extent. Furthermore, expectant women reported more proximity seeking and stronger attachments to mothers, while expectant men relied more on fathers for safe haven. Married participants indicated less proximity seeking to partners than cohabiting couples, and married women reported less reliance on partners for safe haven than married men and cohabiting women. This study supports previous findings underlining the particular importance of partners for members of committed couples. Further, it extends past research by showing the robustness of this finding across parenting choice, and by revealing gender differences in the attachment networks of committed couples.

4.
Psychol Rep ; 118(3): 957-93, 2016 Jun.
Article in English | MEDLINE | ID: mdl-27103747

ABSTRACT

This work describes the construction of family-couple-parenting (FCP) questionnaire, a new measure of three aspects related to the developmental path toward parenting choices, within the perspective of the family life cycle and attachment theory. Two studies are reported. Study 1 reports the development of the FCP questionnaire and its psychometric properties. Study 2 assesses the FCP's nomological validity by investigating group differences on FCP factors and links between FCP factors and romantic attachment (experience in close relationships-revised) and recalled parental bonding (parental bonding instrument). Participants were 791 Italian participants: 405 young adults (203 students, 202 workers) and 193 couples (91 childless-by-choice, 102 parents-to-be). The results suggest that the FCP's stable psychometric structure and strong theoretical basis make FCP a useful instrument for research related to the path to parenthood.


Subject(s)
Family Characteristics , Family/psychology , Object Attachment , Parenting/psychology , Psychometrics/instrumentation , Surveys and Questionnaires , Adult , Female , Humans , Italy , Male , Young Adult
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