A study published in BMC Complimentary Medicine and Therapies finds that music therapy as an alternative treatment for attention deficit hyperactive disorder in children and adolescents shows positive neurophysiological and psychological effects.
] previous studies to restore psychological and neurobiological functions to relieve depression and stress according to the purpose of this study. In addition, the researcher reconstructed it appropriately for the subject, including both receptive and active music therapy interventions, and it was conducted in three stages after verifying the validity of three music therapy experts .
When listening to auditory stimulus music, the subjects closed the door and sat in a comfortable position on the chair. And they closed eyes and listened to music, recalling positive images and words according to the therapist’s guidance. 3 steps of activity were conducted by using positive image and word that are visualized during listening to auditory stimulus music. 3 music therapists guided subjects to visualize positive images and words while they were listening to music.
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Mum speaks of 'mindblowing' ADHD diagnosis aged 37Amy thought that her “chaotic” thoughts were down to postnatal anxiety. She says the ADHD diagnosis has helped her understand why she sometimes finds it difficult to give her son the attention he deserves.
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Needs-based triggers for timely referral to palliative care for older adults severely affected by noncancer conditions: a systematic review and narrative synthesis - BMC Palliative CareBackground Older people with noncancer conditions are less likely to be referred to palliative care services due to the inherent uncertain disease trajectory and a lack of standardised referral criteria. For older adults with noncancer conditions where prognostic estimation is unpredictable, needs-based criteria are likely more suitable. Eligibility criteria for participation in clinical trials on palliative care could inform a needs-based criteria. This review aimed to identify and synthesise eligibility criteria for trials in palliative care to construct a needs-based set of triggers for timely referral to palliative care for older adults severely affected by noncancer conditions. Methods A systematic narrative review of published trials of palliative care service level interventions for older adults with noncancer conditions. Electronic databases Medline, Embase, CINAHL, PsycINFO, CENTRAL, and ClinicalTrials.gov. were searched from inception to June 2022. We included all types of randomised controlled trials. We selected trials that reported eligibility criteria for palliative care involvement for older adults with noncancer conditions, where | 50% of the population was aged ≥ 65 years. The methodological quality of the included studies was assessed using a revised Cochrane risk-of-bias tool for randomized trials. Descriptive analysis and narrative synthesis provided descriptions of the patterns and appraised the applicability of included trial eligibility criteria to identify patients likely to benefit from receiving palliative care. Results 27 randomised controlled trials met eligibility out of 9,584 papers. We identified six major domains of trial eligibility criteria in three categories, needs-based, time-based and medical history-based criteria. Needs-based criteria were composed of symptoms, functional status, and quality of life criteria. The major trial eligibility criteria were diagnostic criteria (n = 26, 96%), followed by medical history-based criteria
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A 50-year-old refugee woman with a lithopedion and a lifetime of trauma: a case report - BMC Women's HealthBackground Lithopedion is a term that refers to a fetus that has calcified or changed to bone. The calcification may involve the fetus, membranes, placenta, or any combination of these structures. It is an extremely rare complication of pregnancy and can remain asymptomatic or present with gastrointestinal and/or genitourinary symptoms. Case presentation A 50-year-old Congolese refugee with a nine-year history of retained fetus after a fetal demise was resettled to the United States (U.S.). She had chronic symptoms of abdominal pain and discomfort, dyspepsia, and gurgling sensation after eating. She experienced stigmatization from healthcare professionals in Tanzania at the time of the fetal demise and subsequently avoided healthcare interaction whenever possible. Upon arrival to the U.S., evaluation of her abdominal mass included abdominopelvic imaging which confirmed the diagnosis of lithopedion. She was referred to gynecologic oncology for surgical consultation given intermittent bowel obstruction from underlying abdominal mass. However, she declined intervention due to fear of surgery and elected for symptom monitoring. Unfortunately, she passed away due to severe malnutrition in the context of recurrent bowel obstruction due to the lithopedion and continued fear of seeking medical care. Conclusion This case demonstrated a rare medical phenomenon and the impact of medical distrust, poor health awareness, and limited access to healthcare among populations most likely to be affected by a lithopedion. This case highlighted the need for a community care model to bridge the gap between the healthcare team and newly resettled refugees.
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Prognostic assessment capability of a five-gene signature in pancreatic cancer: a machine learning based-study - BMC GastroenterologyBackground A prognostic assessment method with good sensitivity and specificity plays an important role in the treatment of pancreatic cancer patients. Finding a way to evaluate the prognosis of pancreatic cancer is of great significance for the treatment of pancreatic cancer. Methods In this study, GTEx dataset and TCGA dataset were merged together for differential gene expression analysis. Univariate Cox regression and Lasso regression were used to screen variables in the TCGA dataset. Screening the optimal prognostic assessment model is then performed by gaussian finite mixture model. Receiver operating characteristic (ROC) curves were used as an indicator to assess the predictive ability of the prognostic model, the validation process was performed on the GEO datasets. Results Gaussian finite mixture model was then used to build 5-gene signature (ANKRD22, ARNTL2, DSG3, KRT7, PRSS3). Receiver operating characteristic (ROC) curves suggested the 5-gene signature performed well on both the training and validation datasets. Conclusions This 5-gene signature performed well on both our chosen training dataset and validation dataset and provided a new way to predict the prognosis of pancreatic cancer patients.
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