Asociación entre el peso de mochilas escolares con el modo de desplazamiento al colegio y dolor musculoesquelético

The aims of this study were; 1- Analyze the mode of commuting of the school children to school, the weight and type of school bags they were carrying and musculoskeletal pain separately by sex. 2- Analyze the association between weights of school bags with mode of commuting to school. A total of 76 children (8.8 ± 0.3 years, 50% children) participated in the study. The Pediatric Pain questionnaire was used to determine the presence or absence of pain. The PACO questionnaire was used to know the mode of commuting to school. The results showed that the active commuting were higher in boys than girls (p =0.042). In addition, there was a significant association between meeting the school bags weight recommended and active commuting from school to home (OR =3.88, p =0.039). Meeting with the weight of the school bags recommended may favor the non-appearance of musculoskeletal pain and active commuting to school. Los objetivos del estudio fueron; 1- Analizar el modo de desplazamiento de los escolares al colegio, el peso y tipo de mochilas transportadas y dolores músculos-esqueléticos diferenciados por sexo. 2- Analizar la asociación entre el peso de las mochilas con el modo de desplazamiento al colegio. Un total de 76 escolares (8.8±0.3 años, 50% niños) participaron en el estudio. El cuestionario Pediátrico de Dolor sirvió para determinar la presencia o no de dolor. El cuestionario PACO fue utilizado para determinar el modo de desplazamiento al colegio. Los resultados indicaron que las niños se desplazaron más de forma activa que los niñas (p =0.042). Además, existió una asociación significativa entre cumplir con el peso recomendado de las mochilas y el desplazamiento activo del colegio al hogar (OR =3.88, p =0.039). Cumplir con el peso recomendado de las mochilas está asociado a la ausencia de dolor musculo-esquelético y el desplazamiento activo al colegio.

Contemporary English Pain Descriptors as Detected on Social Media Using Artificial Intelligence and Emotion Analytics Algorithms: Cross-sectional Study

Background Pain description is fundamental to health care. The McGill Pain Questionnaire (MPQ) has been validated as a tool for the multidimensional measurement of pain; however, its use relies heavily on language proficiency. Although the MPQ has remained unchanged since its inception, the English language has evolved significantly since then. The advent of the internet and social media has allowed for the generation of a staggering amount of publicly available data, allowing linguistic analysis at a scale never seen before. Objective The aim of this study is to use social media data to examine the relevance of pain descriptors from the existing MPQ, identify novel contemporary English descriptors for pain among users of social media, and suggest a modification for a new MPQ for future validation and testing. Methods All posts from social media platforms from January 1, 2019, to December 31, 2019, were extracted. Artificial intelligence and emotion analytics algorithms (Crystalace and CrystalFeel) were used to measure the emotional properties of the text, including sarcasm, anger, fear, sadness, joy, and valence. Word2Vec was used to identify new pain descriptors associated with the original descriptors from the MPQ. Analysis of count and pain intensity formed the basis for proposing new pain descriptors and determining the order of pain descriptors within each subclass. Results A total of 118 new associated words were found via Word2Vec. Of these 118 words, 49 (41.5%) words had a count of at least 110, which corresponded to the count of the bottom 10% (8/78) of the original MPQ pain descriptors. The count and intensity of pain descriptors were used to formulate the inclusion criteria for a new pain questionnaire. For the suggested new pain questionnaire, 11 existing pain descriptors were removed, 13 new descriptors were added to existing subclasses, and a new Psychological subclass comprising 9 descriptors was added. Conclusions This study presents a novel methodology using social media data to identify new pain descriptors and can be repeated at regular intervals to ensure the relevance of pain questionnaires. The original MPQ contains several potentially outdated pain descriptors and is inadequate for reporting the psychological aspects of pain. Further research is needed to examine the reliability and validity of the revised MPQ.

Translation and Validation of the Short Form of the Fear of Dental Pain Questionnaire in China

The short form of the Fear of Dental Pain Questionnaire (s-FDPQ) is a validated measure developed to screen patients for their fear of pain associated with dental procedures. As there is a high prevalence of dental fear/anxiety in Chinese adults, the primary aim of our study was to translate the s-FDPQ into standard Mandarin and explore its reliability and validity with Chinese adults. The second aim of our study was to explore fear of dental pain (FDP) scores in relation to dental attendance, anxiety and gender. We translated the s-FDPQ using the forward-backward method. It was completed by 480 Chinese adults alongside the Modified Dental Anxiety Scale (MDAS; Chinese version) to test convergent validity. 109 participants completed the s-FDPQ again 14 days later to evaluate test-retest reliability. The Chinese s-FDPQ (s-CFDPQ) was internally consistent (alpha = 0.87) and demonstrated convergent validity (r = 0.73 when correlated with the MDAS). Test-retest reliability was good (ICC = 0.86). Individuals who had never attended the dentist (22%) had higher FDP scores than those that had, even if they were not dentally anxious. Also, females reported higher FDP scores (p < 0.001). These findings suggest that the s-CFDPQ is a reliable and valid measure for assessing fear of dental pain in Chinese adults. The s-CFDPQ could allow quick identification of individuals who are fearful of dental pain who may require specialist attention.

Built to Scale: A Corpus-Based Analysis of Adjective Scales in the Mcgill Pain Questionnaire

Modern medical diagnosis relies on precise pain assessment tools in translating clinical information from patient to physician. The McGill Pain Questionnaire (MPQ) is a clinical pain assessment technique that utilizes 78 adjectives of different intensities in 20 categories to quantify a patient’s pain. The questionnaire’s efficacy depends on a predictable pattern of adjective use by patients experiencing pain. In this study, I recreate the MPQ’s adjective intensity orderings using data gathered from patient forums and modern NLP techniques. I extract adjective intensity relationships by searching for key linguistic contexts, and then combine the relationship information to form robust adjective scales. Of 17 adjective relationships predicted by this research, only 4 diverge from the MPQ’s orderings, which is statistically significant at the 0.1 alpha level. The results suggest predictable patterns of adjective use by people experiencing pain, but call into question the MPQ’s categories for grouping adjectives.

Cultural adaptation, validity and reliability of the Turkish version of the Örebro Musculoskeletal Pain Questionnaire in acute and subacute neck pain

Background/aims The Örebro Musculoskeletal Pain Questionnaire is categorised as a ‘yellow flag’ pain-associated psychological distress screening tool, which predicts long-term disability. The aim of this study was to assess the validity and reliability of the Turkish translation of the Örebro Musculoskeletal Pain Questionnaire in patients with acute and subacute neck pain. Methods The test–retest reliability and internal consistency were assessed with the intraclass correlation coefficient and Cronbach's α. Construct validity was assessed with a visual analogue scale, the Neck Disability Index and the Fear Avoidance Belief Questionnaire. Results Cronbach's α value was found to be 0.790, test–retest reliability was 0.99. The intraclass correlation coefficient was 0.999 (95% confidence interval: 0.998–0.999; P=0.000). The Örebro Musculoskeletal Pain Questionnaire showed a moderate positive correlation with the Neck Disability Index (r=0.544; P=0.0001), a weak correlation with the Fear Avoidance Belief Questionnaire (r=0.264; P=0.0001) but no correlation with the visual analogue scale. Conclusions The Turkish version of the Örebro Musculoskeletal Pain Questionnaire is a valid, reliable and acceptable screening tool in patients with acute and subacute neck pain.

Cultural Adaptation, Reliability and Validation of the Arabic Örebro Musculoskeletal Pain Questionnaire in Patients With Low Back Pain

BACKGROUND: The Örebro Musculoskeletal Pain Questionnaire (ÖMPQ) assesses the psychosocial factors in people with complaints of musculoskeletal disorders and predict those likely to develop persistent symptoms. OBJECTIVE: To culturally-adapt and assess the validity of the ÖMPQ in an Arabic population with low back pain (LBP).METHODS: The ÖMPQ was translated into Arabic. Eighty-four patients completed the questionnaires at baseline, 2 days later, and 3 months follow-up. The test-retest reliability, interclass correlation coefficient (ICC), specific agreement, predictive validity and content validity were assessed.RESULTS: For construct validity, the Arabic ÖMPQ (A-ÖMPQ) had a moderate (r ≥ 0.3, < 0.5) to high (r ≥ 0.5) correlation with pain, disability, fear-avoidance and catastrophizing questionnaires. The test-rest reliability showed was high ICC2,1=0.92 (95% CI: .83 - .96). The A-ÖMPQ score at baseline can significantly predict disability at 3 months F(1,82)=33.87, p<.01; R2=.29.CONCLUSIONS: The translation of the A-ÖMPQ into Arabic was successful. The A-ÖMPQ showed very good psychometric properties, and thus can be used to evaluate the psychosocial factors amongst patients with LBP.

Current Understanding of Pain Neurophysiology among Physiotherapists Practicing in Saudi Arabia

To ensure the effective management of patients’ pain, it is important that physiotherapists have a good understanding of the neuroscience behind pain. A major barrier to adequate pain management is that, for patients, there is limited access to clinicians who are knowledgeable about pain. This study examined the level of knowledge regarding pain neurophysiology among physiotherapists currently practicing in Saudi Arabia. Method: The study was a cross-sectional web-based survey that utilized the 12-item Revised Neurophysiology of Pain Questionnaire. Descriptive and inferential statistics were used to describe levels of knowledge regarding pain neurophysiology and to examine differences in knowledge based on the characteristics of the participating physiotherapists (gender, educational level, experience, practice region, and country where their highest educational level was attained). Results: One hundred and eleven physiotherapists (58.6% male) from various regions and educational backgrounds participated in the study. Out of a maximum Revised Neurophysiology of Pain Questionnaire score of 12, the mean ± standard deviation (SD) was 6.7 ± 2.2; 90% of physiotherapists scored 9 (75%) or less. None of the examined characteristics of the participants were associated with knowledge. Conclusion: Physiotherapists in Saudi Arabia showed limited knowledge of the neurophysiology of pain; however, this was not related to the personal characteristics that were examined. The continuation of education in modern pain science is recommended for physiotherapists, especially those dealing with patients suffering from chronic pain. Clinical Relevance: The physiotherapists who took part in this study displayed limited knowledge of pain neuroscience; this limited knowledge might suggest the need for a more bio-anatomical approach to pain management. There is a need for tailored medical education to address pain neuroscience knowledge in current physiotherapist practitioners.

Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire

Modern medical diagnosis relies on precise pain assessment tools in translating clinical information from patient to physician. The McGill Pain Questionnaire (MPQ) is a clinical pain assessment technique that utilizes 78 adjectives of different intensities in 20 categories to quantify a patient’s pain. The questionnaire’s efficacy depends on a predictable pattern of adjective use by patients experiencing pain. In this study, I recreate the MPQ’s adjective intensity orderings using data gathered from patient forums and modern NLP techniques. I extract adjective intensity relationships by searching for key linguistic contexts, and then combine the relationship information to form robust adjective scales. Of 17 adjective relationships predicted by this research, 10 show agreement with the MPQ, which is statistically significant at the .5 alpha level. The results suggest predictable patterns of adjective use by people experiencing pain, but call into question the MPQ’s categories for grouping adjectives.