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PubMed2026

Exploring the perceptions, experiences, and behaviours that nurses and midwives face in relation to sleep: A systematic review of qualitative evidence.

BACKGROUND: The importance of sleep for nurses and midwives is increasingly being recognised. Poor sleep is known to have negative impacts on physical health, mental wellbeing, and work performance. This has prompted efforts to promote and support staff sleep. However, further efforts are needed to understand how nurses and midwives consider and manage sleep to ensure that meaningful and effective interventions are adopted and sustained. AIMS: This review of qualitative evidence aims to examine nurses' and midwives' perceptions, experiences, and behaviours around sleep. METHODS: This review followed JBI's systematic meta-aggregative approach including development of an a priori protocol. A systematic search of six electronic databases (MEDLINE, Embase, Emcare, PsycINFO, CINAHL, and Scopus) was undertaken to identify qualitative studies that examine nurses' and midwives' perceptions, experiences, and behaviours related to sleep. The search was conducted on the 10th of October 2024. Study selection, quality appraisal, data extraction, and synthesis followed JBI approaches and the ConQual approach was used to report assessment of synthesised findings. RESULTS: Thirty-three studies were included for review, and 245 findings were aggregated into 24 categories and nine synthesised findings related to the perceptions, behaviours, and experiences. While sleep was perceived as important, poor sleep was often understood as an expected and inevitable part of the job and that there was a need to always be awake to provide continual care. Experiences influencing sleep related to personal circumstances and work-related factors, as well as professional training and institutional practices. A range of behaviours, including planning time to sleep, using sleep aids, modifying the sleep environment, and altering daytime behaviours were also described. CONCLUSION: This review identified a range of perceptions, behaviours, and experiences that may influence the sleep of nurses and midwives which are vital to supporting individual and workforce wellbeing and safe, effective clinical practice. Insights from this review can be used to better understand nurses' and midwives' relationship with sleep and to develop and enhance targeted sleep interventions and programs that aim to promote and support healthy sleep among nurses and midwives. Open Science Framework Registration: 10.17605/OSF.IO/F32UM.

Humans↗
PubMed2026

Multi-centre randomised controlled feasibility trial with embedded process evaluation of a samba percussion intervention for people living with Parkinson's disease: a protocol for the Sparky Samba trial.

INTRODUCTION: Parkinson's disease (PD) is the second most common neurodegenerative disorder, its principal symptom being deterioration of motor function. Current treatment options are limited to symptom management but there is evidence that physical activity can provide motor benefits. More recently there is evidence to suggest that rhythmic auditory stimulation may improve gait and balance in PD. Sparky Samba is a community initiative in South Wales, UK, founded by a person living with PD. Sessions incorporate the following samba rhythms from a trained facilitator and are held weekly in a community setting. METHODS: The Sparky Samba trial is a multi-site, non-blinded, randomised controlled feasibility trial of Sparky Samba compared with activity as usual. A total of 60 people with PD will be randomised 1:1 to take part in a local Sparky Samba group for 12 weeks or continue their normal activities for the same length of time. The primary outcome is feasibility defined by recruitment, retention, data completeness and intervention adherence. Secondary outcomes relating to motor function, cognition, well-being and self-efficacy will also be assessed at baseline and at 12 weeks. Additionally, we will conduct a process evaluation to understand contextual mechanisms surrounding Sparky Samba. This will be achieved through qualitative interviews and structured participant questionnaires following individual trial completion and through structured questionnaires with intervention delivery staff, supplemented with qualitative interviews. ANALYSIS: Feasibility outcomes will be assessed according to pre-defined criteria. For secondary outcomes, means and standard deviations (or medians and IQRs) will be calculated by arm, alongside 95% CIs for change from baseline to 12-week follow-up. Qualitative data will be subject to thematic analysis using NVivo software. ETHICS AND DISSEMINATION: This study received a favourable ethical opinion from the North of Scotland Research Ethics Committee in April 2025 (REC reference 25/NS/0037). Study results will be disseminated through the peer-review literature, the ISRCTN registry and directly to participants, which will be facilitated by the study's public and patient involvement steering group. TRIAL REGISTRATION NUMBER: ISRCTN11861663.

Humans↗
PubMed2026

Effectiveness of a blended care intervention in physiotherapy with exercise and education for patients with hip or knee osteoarthritis (SmArt-E): A multicentre pragmatic randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness of a twelve-month smartphone-assisted physiotherapy (SmArt-E) intervention versus usual care in hip and/or knee osteoarthritis (OA), and to assess usability and patient satisfaction with the digital support. METHOD: We conducted a multicentre, pragmatic, parallel-group randomized controlled trial in 27 physiotherapy practices in Germany. Patients with physician-diagnosed hip and/or knee OA aged ≥50 (hip) or ≥38 years (knee) were randomly allocated to SmArt-E (IG; n=166) or usual care (CG; n=164). The twelve-month intervention combined supervised and smartphone-assisted training and education (blended care). Primary outcomes were pain (NRS, 0-10) and physical function (HOOS/KOOS-ADL, 0-100) at twelve months. Secondary outcomes followed OARSI domains; usability and patient satisfaction were also assessed. RESULTS: Among 330 participants (mean age 64±8 years), baseline NRS was 3.2±2.3 in the CG and 3.5±2.4 in the IG; HOOS/KOOS-ADL was 71.6±17.7 and 69.4±17.5, respectively. No significant between-group differences were found for pain (-0.36; 95% CI: -0.84 to 0.12; p=0.14) or physical function (2.66; 95% CI: -0.46 to 5.77; p=0.09). Among 13 secondary outcomes, significant differences favouring the IG emerged at three and twelve months for several domains; however, effect sizes were small and unlikely to be clinically meaningful. CONCLUSION: SmArt-E did not demonstrate superior effectiveness over usual care in mild hip and/or knee OA. Both groups improved over time, with slightly more favourable but clinically inconclusive outcomes in the IG. Findings highlight the need to refine the intervention, better identify eligible patients, and optimize digital and in-person components.

Humans↗
PubMed2026

Toward personalized interventions for preventing depression in primary care: Qualitative and quantitative findings from the e-predictD pilot study.

BACKGROUND: The predictD intervention, delivered by family physicians (FPs), has demonstrated effectiveness and cost-efficiency in preventing depression and anxiety. The e-predictD study aims to design, develop, and evaluate a novel personalized intervention for depression prevention by integrating information and communication technologies (ICTs), risk prediction algorithms, and decision support systems (DSS) for both patients and FPs. OBJECTIVE: To evaluate the satisfaction, usability, and acceptability, of a beta version of the e-predictD intervention in primary care settings. METHODS: The e-predictD intervention follows a biopsychosocial approach, including an initial patient-FP interview, specific FP training, and an app. A β-version was tested in a pilot study without a control group over three months. The app integrates a validated depression risk prediction algorithm, decision algorithms, and a monitoring system supporting the DSS. The DSS generates a personalized prevention plan (PPP) from eight intervention modules: physical exercise, social relationships, problem-solving, communication skills, decision-making, assertiveness, sleep improvement, and cognitive restructuring. Patients and FPs discussed the PPP in a 15-minute baseline interview, selecting modules for implementation over three months. Semi-structured interviews gathered feedback. Assessments included depression (PHQ-9), anxiety (GAD-7), quality of life (SF-12), and major depression risk (predictD algorithm). RESULTS: Six FPs from six Spanish cities enrolled 56 non-depressed patients at moderate-to-high risk of depression; 47 (84%) completed follow-up. The app was used for a median of six days (interquartile range: 1-30). Both FPs and patients expressed satisfaction, leading to incorporated improvements. After three months, significant reductions in major depression risk and anxiety symptoms were observed, alongside improved mental quality of life. However, no significant changes were found in depressive symptoms or physical quality of life. CONCLUSION: This pilot study supports the feasibility and acceptability of the e-predictD β-version, despite lower-than-expected app usability. Health improvements were observed, warranting confirmation in a randomized controlled trial. TRIAL REGISTRATION: ClinicalTrials.gov NCT03990792.

Adult↗
PubMed2026

Mechanisms of impact of mental health peer support in high-, middle- and low-income settings: mediation analysis of the UPSIDES randomised controlled trial.

AIMS: While there is growing evidence for the effectiveness of peer support (PS) in improving psychosocial outcomes among individuals with severe mental health conditions, the mechanisms through which these effects occur remain insufficiently understood. This study examines whether social inclusion, hope and empowerment mediate the relationship between PS, personal recovery and health and social functioning. METHODS: Data were collected from 565 adults with severe mental health conditions who participated in the multicentre UPSIDES randomised controlled trial across six sites in Germany, Uganda, Tanzania, India and Israel. Participants in the intervention group received structured PS from trained peer workers over a 6- to 8-month period. Standardised, self-report measures of social inclusion, hope, empowerment and personal recovery, as well as clinician-rated health and social functioning, were administered at baseline, 4&#xa0;months, end of intervention (8&#xa0;months) and 12-month follow-up. Cross-lagged panel modelling was used to explore longitudinal associations and mediating pathways. RESULTS: The cross-lagged models showed strong autoregressive effects across all variables, indicating high temporal stability. There were no significant direct effects of PS on recovery or health and social functioning. However, mediation analysis identified significant indirect effects of PS on personal recovery via social inclusion (&#x3b2;&#xa0;=&#xa0;0.114, 95% confidence interval [CI] [0.049, 0.194], P&#xa0;<&#xa0;0.05) and hope (&#x3b2;&#xa0;=&#xa0;0.037, 95% CI [0.001, 0.086], P&#xa0;<&#xa0;0.05). Similar indirect effects were observed for health and social functioning (via social inclusion: &#x3b2;&#xa0;=&#xa0;-0.035, 95% CI [-0.064,&#xa0;-0.013]; via hope: &#x3b2;&#xa0;=&#xa0;-0.026, 95% CI [-0.052, -0.006]; both P&#xa0;<&#xa0;0.05). CONCLUSIONS: Findings suggest that PS affects recovery-related outcomes primarily through intermediate mechanisms of enhanced hope and social inclusion. These results support theoretical models positing indirect pathways of change in PS interventions and highlight the value of targeting social and psychological domains when designing and implementing PS in mental health services. Individuals with lower baseline levels of hope and social inclusion may particularly benefit from PS.

Humans↗
PubMed2026

Assessment of the role and effectiveness of nurse-led multimodal intervention in the rehabilitation of dysphagia in patients with brain tumors.

BACKGROUND: Dysphagia is a common complication in patients with brain tumors, which has a profound adverse impact on patients' health status and quality of life. However, there is a relative lack of research on the rehabilitation of dysphagia in brain tumor patients, especially regarding the role and effectiveness of nurse-led multimodal interventions in the rehabilitation of dysphagia in brain tumor patients, which lacks systematic assessment and in-depth discussion. AIM: This study aimed to evaluate the role and effectiveness of a nurse-led multimodal intervention in improving swallowing function and quality of life in brain tumor patients with dysphagia. METHODS: In this study, a randomized controlled trial (RCT) design was used to select 120 dysphagia patients among brain tumor patients admitted to our hospital during the period of January 2024 to May 2024 as the study subjects, and they were stratified and randomly divided into an intervention group (n&#x2009;=&#x2009;60) and a control group (n&#x2009;=&#x2009;60). While the control group received conventional nursing care and treatment protocols, the intervention group received a nurse-led multimodal intervention program, including personalized swallowing training, nutritional support, psychological care, and a family-participatory rehabilitation program, which was developed and dynamically adjusted by nurses, rehabilitation therapists, and dietitians. Differences in data before and after the intervention were analyzed using the paired t-test or Wilcoxon signed-rank test, and between-group comparisons were made using the independent samples t-test or Mann-Whitney U test. RESULTS: Both the intervention and control groups showed improvement in swallowing function among the patients. The Kubota drinking test score, Saito's swallowing function grading, and the quality of life scores for patients in the intervention group showed a significant enhancement compared to those in the control group (P&#x2009;<&#x2009;0.05), indicating that the intervention was more effective than the control. When compared within groups, all scores in both the intervention and control groups improved gradually with the time of intervention (P&#x2009;<&#x2009;0.05). The improvement was significantly higher in the intervention group than in the control group. CONCLUSION: This study demonstrates that a nurse-led multimodal intervention is significantly effective in improving swallowing function and quality of life in patients with brain tumors. The intervention provides comprehensive rehabilitation support for patients through multidisciplinary collaboration and personalized care and has certain clinical promotion value.

Humans↗
PubMed2026

Spinal meningiomas: histopathological grading using a benchmark radiomics model with notes on disease control.

OBJECTIVE: Spinal meningiomas (SMs) are common primary spinal tumors for which surgery is considered the first-line treatment when safe and feasible. The ability to extrapolate the tumor grade from preoperative imaging may significantly inform early patient expectation-setting regarding recurrence. Building on radiomics studies in cranial meningiomas, the authors aimed to construct a benchmark radiomics model to preoperatively identify the histological grade of SMs. METHODS: Institutional surgical records from May 2012 to November 2025 were queried for pathology-confirmed meningiomas below the foramen magnum, with preoperative contrast-enhanced imaging available for segmentation. SMs were classified as low-grade (WHO grade 1) and high-grade (WHO grade 2 tumors and grade 1 tumors with atypia). Tumors were manually segmented, and features were extracted using the PyRadiomics software package. An ensemble model of k-nearest neighbors, random forest, and support vector machine classifiers was trained using nested cross-validation on a subset of 10 features to differentiate tumor grades. Clinical data for the cohort were also extracted, and disease control in an adjunctive clinical series was assessed. RESULTS: Seventy-four patients were included in radiomics analysis, with an area under the receiver operating characteristic curve of 0.879 and a mean F1 score of 0.748. The model's top 5 features were all texture features that differed significantly (p < 0.05) across low- and high-grade SMs. These included measures of tumor textural and contrast-enhancement heterogeneity, with overlap with features reported in radiomics models for histological grading of intracranial meningiomas. Fifty-five patients with a median radiographic follow-up of 22.2 (range 1.9-86.4) months remained for clinical analysis after exclusion of patients with less than 1 month of follow-up and syndromic meningiomas. Four recurrences occurred at a median of 20.8 (range 1.8-41.8) months. High-grade tumor pathology did not significantly impact progression-free survival (p = 0.682, log-rank test; Cox regression high vs low grade hazard ratio [HR] 0.62, 95% CI 0.06-6.11, p = 0.685). Subtotal resection was associated with poorer progression-free survival than gross-total resection (p = 0.004, log-rank test; Cox regression subtotal vs gross-total resection HR 10.62, 95% CI 1.46-77.05, p = 0.019). These findings remain contextualized within a relatively limited follow-up window and small recurrence event count, suggesting a need to characterize the interplay between tumor grade and extent of resection as drivers of local disease control in SMs. CONCLUSIONS: A preoperative radiomics model can stratify high-grade SMs using open-source tools applied to single-institution data.

Humans↗
PubMed2026

From fear to empowerment: the&#xa0;impact of employees AI awareness on workplace well-being - a new insight from the JD-R model.

PURPOSE: The primary purpose of the study was to explore the impact of health workers' awareness of artificial intelligence (AI) on their workplace well-being, addressing a critical gap in the literature. By examining this relationship through the lens of the Job demands-resources (JD-R) model, the study aimed to provide insights into how health workers' perceptions of AI integration in their jobs and careers could influence their informal learning behaviour and, consequently, their overall well-being in the workplace. The study's findings could inform strategies for supporting healthcare workers during technological transformations. DESIGN/METHODOLOGY/APPROACH: The study employed a quantitative research design using a survey methodology to collect data from 420 health workers across 10 hospitals in Ghana that have adopted AI technologies. The study was analysed using OLS and structural equation modelling. FINDINGS: The study findings revealed that health workers' AI awareness positively impacts their informal learning behaviour at the workplace. Again, informal learning behaviour positively impacts health workers' workplace well-being. Moreover, informal learning behaviour mediates the relationship between health workers' AI awareness and workplace wellbeing. Furthermore, employee learning orientation was found to strengthen the effect of AI awareness on informal learning behaviour. RESEARCH LIMITATIONS/IMPLICATIONS: While the study provides valuable insights, it is important to acknowledge its limitations. The study was conducted in a specific context (Ghanaian hospitals adopting AI), which may limit the generalizability of the findings to other healthcare settings or industries. Self-reported data from the questionnaires may be subject to response biases, and the study did not account for potential confounding factors that could influence the relationships between the variables. PRACTICAL IMPLICATIONS: The study offers practical implications for healthcare organizations navigating the digital transformation era. By understanding the positive impact of health workers' AI awareness on their informal learning behaviour and well-being, organizations can prioritize initiatives that foster a learning-oriented culture and provide opportunities for informal learning. This could include implementing mentorship programs, encouraging knowledge-sharing among employees and offering training and development resources to help workers adapt to AI-driven changes. Additionally, the findings highlight the importance of promoting employee learning orientation, which can enhance the effectiveness of such initiatives. ORIGINALITY/VALUE: The study contributes to the existing literature by addressing a relatively unexplored area - the impact of AI awareness on healthcare workers' well-being. While previous research has focused on the potential job displacement effects of AI, this study takes a unique perspective by examining how health workers' perceptions of AI integration can shape their informal learning behaviour and, subsequently, their workplace well-being. By drawing on the JD-R model and incorporating employee learning orientation as a moderator, the study offers a novel theoretical framework for understanding the implications of AI adoption in healthcare organizations.

Humans↗
PubMed2026

A Critical Assessment of Evidence-Based Design's Knowledge Base and Inspiration: A Systematic Review.

PurposeThis study examines Evidence-Based Design (EBD) as an epistemological framework for guiding design research and practice, with a particular focus on its reliance on Evidence-Based Medicine (EBM) as a source of methodological inspiration.BackgroundOver the past two decades, EBD has been promoted as a way to strengthen design processes through the systematic use of scientific evidence. Its relationship to EBM, however, remains conceptually ambiguous: EBD draws legitimacy from EBM's hierarchical conception of "best evidence" while at the same time acknowledging the specificities of design practice, which do not easily fit such a model.MethodologyA systematic review was conducted on 31 publications in the design research literature that explicitly address the tension surrounding EBD's conception of "best evidence." The criticisms raised were coded and analyzed by main topics and subtopics.ResultsThe review highlights several reasons why EBM's hierarchical view of "best evidence" is an unsuitable epistemological foundation for EBD. It imposes scientifically inappropriate and practically ineffective methodological standards, devalues important sources of design knowledge, and fails to address central epistemic challenges intrinsic to design processes.ConclusionsBy bringing together critical yet fragmented insights from the literature, this study argues for the development of an updated epistemological framework for EBD. Constructing this framework will require sustained interdisciplinary dialogue between design research and philosophy of science.

Humans↗
PubMed2026

Making waves: toward systems-level interpretation of hormonal and endogenous biomarkers in wastewater-based epidemiology.

Wastewater-based epidemiology (WBE) has proven invaluable for population health monitoring, most notably during the COVID-19 pandemic. Yet current WBE largely relies on exogenous markers such as drugs, pathogens, and their metabolites, limiting surveillance to what communities are exposed to. We argue for expanding WBE towards endogenous biomarkers, particularly hormones, which provide insights into physiological stress, metabolic function, and endocrine activity. Hormone-based WBE offers new opportunities to capture population-level biological responses to societal and environmental stressors, disasters, and chronic disease burdens at the community scale. This perspective outlines a systems-level framework for integrating hormonal signals in wastewater with clinical data, behavioral indicators, environmental factors, and digital markers to support more robust and context-aware public health surveillance. We highlight key technical considerations, interpretive challenges, and opportunities for translational pilot studies. By moving beyond exposure tracking toward more integrated interpretation of biological responses, hormone-informed WBE may contribute to more resilient, inclusive, and actionable public health infrastructure.

Humans↗
PubMed2026

Base editing reversal of radiation sensitivity in NHEJ1 immunodeficiency.

Inherited defects of DNA double-stranded break (DSB) repair can result in radiosensitive/radiation-sensitive (RS) SCID (RS-SCID). We applied base editing to reverse NHEJ1 mutations in patient fibroblasts, exemplifying how this technology can help interrogate RS sequence variants.

Journal Article↗
PubMed2026

Randomized controlled trial comparing 7-day fexuprazan-based and 14-day rabeprazole-based triple therapies for Helicobacter pylori eradication.

BACKGROUND: Fexuprazan is a newly developed potassium-competitive acid blocker used for the treatment of acid-related gastrointestinal diseases; however, clinical data regarding its efficacy in Helicobacter pylori eradication are lacking. This study evaluated the efficacy and safety of a 7-day fexuprazan-based triple therapy regimen compared with a 14-day rabeprazole-based triple therapy regimen for H. pylori infection in Korean patients. METHODS: A randomized controlled single-center study was conducted to compare the eradication rates between 7-day fexuprazan (40&#x2009;mg)-based triple therapy (with 1&#x2009;g amoxicillin and clarithromycin 500&#x2009;mg administered twice daily) and 14-day rabeprazole (20&#x2009;mg)-based triple therapy for H. pylori eradication. The primary endpoint was the success rate of H. pylori eradication, determined using the 13C-urea breath test. Safety outcomes were also evaluated. RESULTS: A total of 79 patients were randomly assigned to the fexuprazan and rabeprazole groups. In the full analysis set, eradication rates were 80.00% (32/40) in the fexuprazan group and 82.05% (32/39) in the rabeprazole group. In the per-protocol set, eradication rates were 83.78% (31/37) and 88.89% (32/36), respectively (P = 1.000 and P =.737). The overall incidence of treatment-emergent adverse events was 70.00% (28/40) in the fexuprazan group and 66.67% (26/39) in the rabeprazole group, with no significant difference between groups (P =.812); both regimens were well tolerated. Among patients with clarithromycin-susceptible strains in full analysis set, eradication rates were 93.10% (27/29) in the fexuprazan group and 87.09% (27/31) in the rabeprazole group (P =.672). In the per-protocol set, eradication rates for susceptible strains were 96.42% (27/28) in the fexuprazan group and 93.10% (27/29) in the rabeprazole group (P = 1.000). CONCLUSION: Seven-day fexuprazan-based triple therapy demonstrated eradication efficacy comparable with that of 14-day rabeprazole-based therapy in treatment-na&#xef;ve Korean patients with H. pylori infection. The fexuprazan-based regimen showed a similar safety profile and comparable incidence of adverse events with that of the rabeprazole-based regimen.

Humans↗
PubMed2026

Effects of extended problem-based learning interventions on undergraduate nursing education: A systematic review.

OBJECTIVE: Exploring the effects of long-term PBL (problem-based learning) intervention on undergraduate nursing students. METHODS: The article retrieved literature from CINAHL Complete, Academic Search Complete, Web of Science, PubMed, EMBASE, OVID, and Cochrane Library up to January 2025. Studies had to meet all of these criteria: (1) They used a randomized controlled trial (RCT) and quasi-experimental design. (2) The PBL pedagogy intervention lasted 4&#xa0;weeks or longer. (3) The participants were undergraduate nursing students. (4) They reported primary outcomes. These included critical thinking, problem-solving skills and self-directed learning. Two researchers screened articles, extracted data, and assessed quality independently using blinding. They used Cochrane ROB2 for RCTs and ROBINS-I for quasi-experimental studies to judge bias risk. Meta-analysis was performed using RevMan 5.4 software. For continuous variables, standardized mean difference (SMD) and 95% confidence interval were calculated. Heterogeneity was assessed by I2 statistic. When I2&#xa0;>&#xa0;50%, sensitivity analysis was conducted. The source of heterogeneity was explored by excluding studies one by one. The primary outcomes included standardized critical thinking, problem-solving, and self-directed learning assessment results. RESULTS: A total of 11 randomized controlled trials and quasi-experimental studies were retrieved and included for meta-analysis. The experimental group significantly outperformed the control group in critical thinking, problem-solving, and self-directed learning, with differences being statistically significant (P&#xa0;&#x2264;&#xa0;0.05). However, high heterogeneity was observed. After sensitivity analysis, the heterogeneity was reduced and the results remained statistically significant, indicating that the findings were not solely dependent on the excluded studies.

Problem-Based Learning↗
PubMed2026

Effectiveness of symptom map-based education in the management of premenstrual syndrome: a randomized controlled trial.

PURPOSE: To evaluate the effectiveness of a symptom map-based educational intervention for the non-pharmacological management of premenstrual syndrome (PMS), with a focus on symptom reduction among women with differing baseline symptom severity. METHODS: This randomized controlled study was conducted between May and December 2024. A total of 110 women meeting diagnostic criteria for PMS were randomly assigned to an intervention group (n = 55) or a control group (n = 55) using block randomization, and 101 participants completed follow-up assessments. The intervention comprised structured education based on a PMS symptom map and evidence-based self-care strategies. Outcomes included PMS symptom severity (Premenstrual Syndrome Scale), pain intensity (Visual Analog Scale), psychological symptoms (Depression Anxiety Stress Scale-21), and PMS-specific life satisfaction. CLINICAL TRIAL REGISTRATION: NCT06585475. RESULTS: Compared with the control group, women in the intervention group reported significantly lower pain (adjusted mean 4.21 vs. 6.81, p < .001) and stress levels (8.54 vs. 12.03, p < .001) at follow-up. The intervention was particularly effective in reducing PMS symptom severity and depressive symptoms among participants with higher baseline symptom burden. Improvements in PMS-specific life satisfaction were observed, with reductions in depressive symptoms contributing to this effect. CONCLUSION: A symptom map-based educational intervention is a clinically applicable, non-pharmacological approach for PMS management. This structured education appears especially beneficial for women with more severe baseline symptoms and may be integrated into routine gynecological care to support individualized symptom management.

Humans↗
PubMed2026

Natural deep eutectic solvent in situ formation-based extraction method coupled to high-performance anion-exchange chromatography with pulsed amperometric detection for multiclass carbohydrates in hot pot bases.

A novel method was developed for the simultaneous extraction of fourteen multiclass carbohydrates from high-fat foods via the in situ formation of deep eutectic adducts from analytes and acetate ions. Different natural deep eutectic solvents (NADESs) composed of fructose and organic acids were tested as extraction solvents. A model NADES formulated with sodium acetate and fructose was characterized using Fourier transform infrared (FTIR) spectroscopy and hydrogen nuclear magnetic resonance (1H-NMR) spectroscopy. The critical extraction parameters were systematically optimized using multi-response surface methodology (MRSM) with a central composite design (CCD). The extract was analyzed using high-performance anion-exchange chromatography coupled with pulsed amperometric detection (HPAEC-PAD) using a sodium hydroxide-sodium acetate eluent, which did not require organic solvents. This approach exhibited good linearity over the concentration range of 0.02-10 mg L-1, with correlation coefficients (r) ranging from 0.9994 to 0.9999. The limits of detection and quantification were in the ranges of 0.06-0.42 mg kg-1 and 0.19-1.3 mg kg-1, respectively, which were significantly lower than those of liquid chromatography (LC). The protocol was successfully applied to the determination of fourteen carbohydrates in forty-five hotpot seasoning samples. The recoveries ranged from 86.3% to 104.1%, with relative standard deviations (RSDs) of 0.9-7.1%. By integrating multiple techniques, this strategy simplifies operations, shortens extraction time, and achieves baseline separation of three carbohydrate classes that exhibit poor resolution using a conventional LC method. This study describes an efficient procedure for the simultaneous determination of multiple trace-level carbohydrates in complex samples using HPAEC-PAD.

Journal Article↗
PubMed2026

Effects of Family-Based Intervention for Childhood Obesity on Parental and Offspring Outcomes: A Systematic Review and Meta-Analysis.

BACKGROUND AND OBJECTIVES: Childhood obesity is a global public health issue with strong familial and intergenerational transmission. However, existing syntheses often overlook the active role of parents and fail to assess outcomes beyond the child. This systematic review and meta-analysis specifically investigate the effects of family-based interventions, which position parents as active co-agents of change, on health outcomes for both children with obesity and their parents. METHODS: A systematic review and meta-analysis were conducted. Six databases were searched for randomized controlled trials (RCTs) targeting children with obesity and at least one family member. Primary outcomes were children's BMI z-score and parental BMI; secondary outcomes included other adiposity measures and dietary behaviors. Outcomes for both children and parents were synthesized. Subgroup analyses were conducted based on intervention characteristics. Risk of bias was assessed using RoB 2, and evidence certainty was evaluated using GRADE. RESULTS: Twenty RCTs with 1740 participants were included in the meta-analysis. The interventions demonstrated a significant reduction in children's BMI z-score. Additional benefits were observed for long-term BMI z-score and percentage of total body fat. The most effective interventions commonly integrate health education, behavioral strategies, and motivational support. Subgroup analyses indicated that interventions positioning parents as active co-participants, rather than mere supporters, yielded larger effects. However, no significant effects were found on parental BMI. CONCLUSION: This study demonstrates that family-based interventions can confer significant benefits for children with obesity. Their success hinges on strategically framing parents as active co-agents and integrating motivational strategies.

Humans↗