Variability of joint hypermobility in children: a meta-analytic approach to set cut-off scores.

Current international consensus of the appropriate Beighton score cut-off to define if a child has generalised joint hypermobile or not is based upon expert opinion. Our aim was to determine the prevalence of Beighton scores of children worldwide to provide a recommendation for establishing the Beighton score cut-off to identify generalised joint hypermobility in children. We used AMED, OVID Medline, Embase and CINAHL to find published articles from inception to April 2024 describing Beighton scores of children up to and including 18 years from the general population. We extracted study demographics including country of publication, total number of participants, summary data about the age and sex of participant, Beighton scores and any cut-off used where authors deemed children hypermobile and how many children were rated at the corresponding Beighton scores. There were 37 articles reporting on the prevalence or incidence of hypermobility at cut-off scores from 28,868 participants. Using the cut-off of ≥ 6 resulted in a prevalence of 6% for studies reporting male data and 13% for studies reporting female data. Limited data reporting availability precluded further sub-analysis at a Beighton score of ≥ 7, age, pubertal status and ethnicity.    Conclusion: The working threshold for identifying generalised joint hypermobility in children should be a Beighton score of 6 or more. Our analysis also suggests a Beighton score of 7 or greater may be appropriate in childhood, particularly for females. What is Known: • The working threshold for identifying generalised joint hypermobility in children previously was set based on expert opinion. What is New: • The threshold to identify hypermobility in children should be at a minimum of ≥ 6 on the Beighton score.

What factors contribute to cancer survivors' self-management skills? A cross-sectional observational study.

PURPOSE: Many cancer survivors, facing the consequences of their disease and its treatment, have medical and supportive aftercare needs. However, limited knowledge exists regarding the relationship between support needs and survivors' self-management skills. The study aim is to explore factors contributing to cancer survivors' self-management skills. METHODS: A cross-sectional study was conducted among cancer survivors (n = 277) of two outpatient oncology clinics at a university hospital in the Netherlands. Patients with head and neck cancer (n = 55) who had received radiotherapy and cisplatin or cetuximab were included, as well as patients who had undergone hematopoietic stem cell transplantation (n = 222). The primary outcome was self-management skills, assessed using the Partners in Health Scale (PIH), which comprises two subscales: knowledge and coping (PIH-KC), and recognition and management of symptoms, and adherence to treatment (PIH-MSA). Secondary outcomes were quality of life (EORTC QLQ-C30), self-efficacy (SECD6), patient-centered care (CAPHS), and social support (HEIQ). Machine learning-based Random Forest models were employed to construct associative models. Feature Importance (FI) was used to express the contribution to the model. RESULTS: High emotional quality of life (FI = 33.1%), increased self-efficacy (FI = 22.2%), and greater social support (FI = 18.2%) were identified as key factors contributing to cancer survivors' self-management knowledge (PIH-KC). Furthermore, greater support from professionals (FI = 36.1%) and higher self-efficacy (FI = 18.2%) were found to benefit participants' recognition and management, and therapy adherence (PIH-MSA). CONCLUSIONS: A patient-centered relationship between nurses and cancer survivors is essential for therapy adherence and the management of aftercare needs. Training to provide this holistic self-management support is required.