Conectar
by Yuzhong Feng, Jiazhen Cui, Xuan Huang, Yupeng Li, Haolong Dong, Xianghua Xiong, Gang Liu, Qingyang Wang, Huipeng Chen
Uricase-based drugs excel at treating refractory hyperuricemia and tumor lysis syndrome by directly degrading uric acid but are limited by immunogenicity. Here, we engineered RAW264.7 macrophages with ectopic co-expression of Aspergillus flavus uricase and murine urate anion transporter 1 (URAT1), forming a “transport-degradation” system: URAT1 actively transports uric acid into cells for intracellular degradation. Recombinant lentiviral vectors carrying target genes were transfected into RAW264.7 cells, followed by puromycin screening. In vitro assays showed that the engineered macrophages nearly completely degraded uric acid (from 556.0 ± 37.0 μmol/L to 0.7 ± 0.6 μmol/L) at 72 h. URAT1 inhibition with benzbromarone abolished uric acid degradation in URAT1-expressing cells. In both acute dietary-induced and chronic genetic hyperuricemic mouse models, RAW-afUri-URAT1 exerted robust and sustained uric acid-lowering activity, maintaining serum uric acid at 77.14 ± 37.48 μmol/L on day 16 in yeast extract gavaged mice and normalizing serum uric acid to 76.2 ± 15.9 μmol/L in liver uricase conditional knockout mice, both significantly superior to the rebound levels observed in mice treated with Rasburicase (143.19 ± 38.21 μmol/L and 142.4 ± 17.4 μmol/L, respectively; Pby Weifeng Wang, Xianli Meng, Yan Zhao, Wei Gong, Xiaochen Jiang, Wenjuan Cao, Xueling Qiu, Chenxi Sun, Fan Sun, Yuchen Wang, Lu Tang
BackgroundTo alleviate pain in burn patients during dressing changes, it is necessary to identify an effective analgesic method. Conventional opioid analgesics have many limitations. Nitrous oxide is a fast-acting, safe and reversible inhaled analgesic gas. This systematic review will evaluate the effectiveness and safety of nitrous oxide in the treatment of pain during dressing changes in burn patients.
MethodThe protocol was developed according to the PRISMA-P checklist and registered on PROSPERO (CRD42024550197). A systematic search will be performed in the following databases: PubMed, EMBASE, Web of Science, Cochrane Library to identify clinical trials comparing nitrous oxide inhalation with standard care in pain management during dressing changes in burn wounds. The search of all databases will be conducted on October 15, 2025.Our search scope will include studies published between each database creation and search date.Two researchers will independently screen studies, extract data, and evaluate study quality using the Risk of Bias2 tool. Primary outcomes will include pain, anxiety, side effects, among others.R statistical software (version 4.3.1) and R studio will be used to perform meta-analyses.Effect size will be expressed by 95% confidence interval (Cl) of weighted mean difference (MD) and risk ratio (RR). Subgroup analyses and sensitivity analyses will be performed to explore sources of heterogeneity and assess the robustness of the results.Publication bias will be assessed using funnel plot and Egger test. We will use the Grading of Recommendation, Evaluation, Development and Evaluation (GRADE) to assess the quality of the evidence.
DiscussionOperative pain has always been a difficult problem for burn patients. This study will evaluate the analgesic effect of nitrous oxide on dressing change in burn patients through comprehensive search and rigorous methods, and provide evidence support for clinical decision-making.
The purpose of this study was to investigate the factors influencing life satisfaction in patients with chronic kidney disease and to explore any sex differences. Thus, this provides a theoretical basis for improving the life satisfaction status of middle-aged and elderly patients with chronic kidney disease, as well as formulating prevention, treatment and intervention strategies.
Based on the health ecology model, 22 potential influencing factors were identified at five levels. Subsequent analyses examined whether they impacted the life satisfaction of patients with chronic kidney disease and had varying effects on different sexes.
A total of 1422 patients with chronic kidney disease were included from the 2018 China Health and Retirement Longitudinal Study.
The 2 test and multivariate logistic regression model were used to analyse the influencing factors of life satisfaction in patients with chronic kidney disease and their sex differences. Sensitivity analyses additionally supported the robustness of the results.
Age, self-rated health, depressive symptoms, marital satisfaction, satisfaction with children, activities of daily living and pension were all significant influencing factors of life satisfaction in patients with chronic kidney disease (p
This study reveals that a combination of factors affects life satisfaction in patients with chronic kidney disease. Therefore, targeted prevention and intervention strategies should be carried out, with specific focus on females, individuals with poor self-rated health and those experiencing depressive symptoms from a multidimensional perspective.
This study aimed to systematically review Clinical Practice Guidelines (CPGs) for nutritional management of dementia and use evidence mapping to highlight research trends and identify gaps to inform future research.
A systematic review of guidelines using the PRISMA statement.
Systematically collect literature on dementia management CPGs from PubMed, Embase, Web of Science and guideline databases. Extract basic information, recommendations, methodological quality and reporting quality of the CPGs. Four researchers independently evaluated eligible CPGs using the AGREE II instrument and the RIGHT checklist. All recommendations from the CPGs were summarised and analysed, and evidence mapping bubble charts were created in Excel.
After excluding 5541 records, 10 CPGs were eventually proved eligible, 5 of which were of high quality and 5 of high quality. With 10 CPGs that combined 18 recommendations. The nutrition screening and assessment were summarised on the basis of the dementia recommendations for 4 major items, 7 items on nutritional interventions, 5 items on caring and 2 on education.
This review provides an evidence map and offers new perspectives on CPGs for nutritional management in dementia. However, there are improvements to the included CPGs, but most CPGs have a number of key recommendations that can help guide clinical practice.
The currently available guidelines on dementia nutritional management have room for methodological improvement.
To map evidence of the existing virtual reality-based dementia educational programmes and the effects of these educational programmes on dementia formal and informal caregivers.
A scoping review.
A comprehensive search of nine databases was conducted to find studies from the inception of the databases to October 2023. Two authors independently screened the titles and abstracts related to the eligibility criteria. Full texts of potentially relevant studies were read by one author and checked by a second. Data extraction and synthesis using NVivo 12 were undertaken by one author and checked by two other authors.
Nineteen studies published between 2002 and 2022. The four randomised controlled studies and five qualitative studies were of moderate to good methodological quality. The 10 quasi-experimental studies were of weak to moderate quality. Fifteen virtual reality-based educational programmes had a positive influence on formal and informal caregivers, including improving caregivers' perceptions changing attitudes towards people with dementia, while the nursing competence of formal caregivers did not improve in short term. Educational programmes that covered dementia-related information and care strategies better improved the knowledge level of dementia formal and informal caregivers.
The qualitative and quantitative studies of moderate to good quality included in this study support the idea that virtual reality-based dementia educational programmes may be a safe and effective way and have potential benefits for improving knowledge, perceptions, attitudes and nursing competence.
This scoping review will provide an emerging teaching model for formal and informal caregivers of people with dementia and help them better understand the types and the influence of virtual reality-based dementia educational programmes.
PRISMA-ScR.
Not required as this review in accordance with the aim to map existing literature from the dementia formal and informal caregivers' perspective.
by Deye Ge, Liyan Wu, Jingrong Yang, Jingxian Sun, Jinying Wang, Jingxin Wang, Huihui Song, Ran Wei, Zecheng Xu, Binbin Zhao, Rongfei Sun, Yifei Wang
The U.S. Food and Drug Administration (FDA) approved intravenous edaravone for the treatment of amyotrophic lateral sclerosis (ALS) in 2017, followed by the approval of the oral formulation in 2022. This study aims to utilize the FDA#39;s Adverse Event Reporting System (FAERS) to investigate the spectrum and timing of adverse events (AEs) associated with edaravone administration, employing repeatability analysis, the Reporting Odds Ratio (ROR) approach, Weibull distribution, and stratification methods. The investigation focuses on data collected from the first quarter of 2017 through the fourth quarter of 2024, aiming to identify adverse event signals and their temporal patterns related to both intravenous and oral edaravone administration. In total, 3,262 records of edaravone-related adverse reactions were identified; among these, 1,534 incidents were associated with intravenous administration, while 453 incidents pertained to oral administration. The analysis revealed distinct adverse reaction profiles for the two routes of administration. Notably, the spectrum of adverse reactions resulting from oral administration predominantly involved the respiratory system, digestive system, and skin damage. In contrast, intravenous administration was more frequently linked to complications associated with invasive procedures and local tissue damage. Furthermore, the timing of adverse reactions exhibited significant variability between the two routes. Weibull distribution analysis indicated that the median onset time for adverse reactions following intravenous administration was 35 days, whereas for oral administration, it was 27 days. Both analytical approaches identified early failure signals, suggesting that the risk of adverse events diminishes over time.Hypertension remains a major public health challenge in rural China, where blood pressure control rates remain low, primarily due to inadequate self-management behaviours among patients. While physician-patient interaction plays a critical role in shaping self-management behaviours, few interventions leveraging this mechanism—particularly those tailored to individual behavioural trajectories—have been implemented in rural primary care. This study aims to design and evaluate the effectiveness of an adaptive, interaction intervention to improve self-management behaviours among patients with hypertension in rural China.
A Sequential Multiple Assignment Randomised Trial (SMART) will be used to develop and evaluate an adaptive intervention based on physician-patient interaction. Two initial strategies will be tested: (1) a standard strategy involving monthly interactive follow-ups and (2) an enhanced strategy incorporating behavioural incentives into the standard protocol. In the first stage, 320 patients were recruited from 16 villages and were randomised to either strategy. After 6 months, patients with adequate improvement will continue their original strategy, while those with suboptimal progress will be re-randomised to either an enhanced intervention with a reminder or a further version with both the reminder and physician feedback. All interventions will be delivered via a Smart Medical Assistant Telephone Robot (SMAT-R) integrated within routine primary care services. The primary outcome is patient self-management behaviour, assessed using the Hypertension Patient’s Self-Management Behaviour Rating Scale; secondary outcomes—including blood pressure, quality of life and acceptability of the intervention—will be collected by trained personnel using standardised procedures and the SMAT-R digital system. Data will be collected at baseline, 6 months and 12 months post-implementation. Marginal structural models will be used to assess the dynamic effects of intervention.
This study aims to inform the development and evaluation of an adaptive, scalable and technology-assisted intervention to improve self-management behaviours among patients with hypertension in rural primary care settings. Using a SMART design, the trial will generate evidence on optimal sequencing and tailoring of strategies based on behavioural responses. The findings are expected to guide sustainable improvements in chronic disease management within primary care systems in low-resource contexts.
This trial has been approved by the Ethics Committee of West China Forth Hospital and West China School of Public Health, Sichuan University (Gwll2024130). The study was conducted in accordance with the Declaration of Helsinki. All the participants provided written consent before participation. Trial results will be shared through peer-reviewed publications, ClinicalTrials.gov, and with healthcare providers and local health authorities, without publication restrictions.
Obtaining clean-catch urine (CCU) samples from non-continent infants is a common clinical challenge due to low urine volume and irregular urination. Non-invasive stimulation techniques, such as the bladder stimulation technique (BST) and the Quick-Wee method, have been proposed to improve success rates and reduce contamination. However, the supporting evidence remains inconsistent, and no multicentre randomised trials have directly compared the effectiveness and safety of Quick-Wee, BST and standard CCU.
The study will enrol 342 infants aged 1–12 months requiring urinalysis, recruited from paediatric wards across three tertiary hospitals in China. Eligible participants will be randomly assigned in a 1:1:1 ratio to one of three intervention groups: BST, Quick-Wee or standard CCU. The primary endpoint is the success rate of urine collection within 5 min of intervention. Secondary endpoints include time to urination, 5 min urination rate, infant discomfort scores, parental and clinician satisfaction, and urine contamination rates. Safety will be evaluated by monitoring the incidence of adverse events.
This study was approved by the Biomedical Ethics Review Committee of West China Hospital, Sichuan University (No. 114/2025). Written informed consent will be obtained from all participants’ parents prior to enrolment. Study findings will be published in peer-reviewed journals and presented at relevant conferences. Individual participant data will be kept strictly confidential and securely stored in compliance with data protection regulations.
ChiCTR2500098691.
by Zonghan Lei, Yaoqi Hou, Xiangqin Song
Long-term motor training is thought to reshape brain organization, yet how golf expertise influences large-scale brain networks remains unclear. Using T1-weighted MRI and an individualized structural covariance network (SCN) approach, we compared 20 expert golfers, 20 novice golfers, and 20 non-golfer controls. Experts showed higher global clustering coefficient and local efficiency than novices, indicating enhanced modular processing. At the nodal level, experts exhibited increased clustering in regions supporting visual–sensorimotor integration (e.g., right supramarginal gyrus, Heschl’s gyrus, and left middle temporal pole), alongside reduced global efficiency in the left calcarine cortex and altered path length in the right cerebellum. Importantly, the clustering coefficient mediated the association between training duration and stroke accuracy. These cross-sectional findings suggest that extensive golf training is linked to a brain network reconfiguration that favors local specialization over global integration—potentially supporting the refined sensorimotor control required in elite performance. This study advances understanding of experience-dependent neuroplasticity by integrating individualized network analysis with behavioral outcomes in motor expertise.by Simon Söderholm, Martin Ulander, Vanessa William Toma, Sara Kaufmann, Xiangyu Qiao, Daniel Berglind, Susanna Calling, Bledar Daka, Ludger Grote, Mats Martinell, Frida Bergman, Pontus Henriksson, Carl-Johan Östgren, Wen Zhong, Claudio Cantù, Fredrik Iredahl
Coffee is the most common drink in the world, second only to water. This makes caffeine, the ingredient of coffee known for its wakefulness-promoting effects, one of the most used psychoactive substances. The psychoactive property of caffeine is well-characterized, and entails its interaction with the adenosine receptors, involved in sleep regulation. While studies have shown a deleterious immediate effect of caffeine on sleep, less is known about the effects of chronic caffeine exposure. In the present cross-sectional study, we investigated this relationship across a large cohort of 30,154 individuals participating in the Swedish Cardiopulmonary Bioimage Study (SCAPIS), which allowed us to compare habitual coffee intake with sleep habits, subjective estimate of daytime sleepiness, and underlying genetic variants. According to our analyses, different degrees of coffee consumption, confirmed by statistical association with previously reported genetic variants, showed very low association with estimated patterns of sleep habits or perceived daytime sleepiness. These results indicate that coffee may be less impactful on sleep habits than previously thought, or that other mechanisms, such as the adaptive capabilities of the adenosine system in adult coffee users, may dampen its psychoactive potency.by Jingwen Ji, Xiangyuan Wu
Heavy metal pollution in coastal agricultural soils poses significant threats to food security, human health, and marine ecosystems. Effective prevention and control require systematic analysis of their spatial distribution and sources. This study integrated geostatistics, principal component analysis (PCA), positive matrix factorization (PMF), and finite mixture modeling (FMM) to comprehensively analyze the spatial variability and sources of five heavy metals (Cr, Pb, Cd, Hg, As) across 877 sampling sites in the coastal area of eastern Zhejiang. The results indicate that overall soil quality is good, though enrichment occurs at some sites due to anthropogenic activities. Pollution displays a spatial pattern of lower levels in the south and higher levels in the north. Pb is widely distributed, while Cd, Hg, and As are concentrated in agricultural plain areas. PMF-based source apportionment revealed that mobile sources (traffic) contributed the most (52.5%), followed by industrial sources (30.4%) and agricultural sources (17.1%). The consistency of multi-model results validated the reliability of source identification. By implementing precise management strategies based on pollution source contributions, it is expected to effectively curb the further deterioration of heavy metal pollution in agricultural soils in Zhejiang Province, gradually improve soil environmental quality, and ensure the safety of agricultural products and the sustainable development of agriculture.by Xiangxiang Kong, Lujie Karen Chen, Sancharee Hom Chowdhurry, Ryan B. Felix, Shiming Yang, Peter Hu, Neeraj Badjatia, Jamie Erin Podell
Paroxysmal sympathetic hyperactivity (PSH) is a syndrome that occurs in a large subset of critically ill traumatic brain injury (TBI) patients and is associated with complications and poor recovery. PSH is defined by recurrent episodic vital sign elevations in the appropriate clinical context. However, standard diagnostic criteria rely heavily on subjective judgment, leading to challenges and delays in recognition, monitoring, and management. The objective of this study was to develop automated PSH detection and quantification tools that exclusively utilize objective bedside continuous vital sign data. Using a cohort of 221 critically ill acute TBI patients with at least 14 days of continuous physiologic data (of which 107 were clinically diagnosed with PSH) we developed a high-resolution clinical feature scale based on established PSH-Assessment Measure criteria and two artificial intelligence-based episode detection models including an expert system approach and a machine learning model approach, using a clinician-annotated case example as ground truth. For the episode detection methods, PSH was quantified as the number, duration, and overall temporal burden of detected episodes. To evaluate performance, we compared quantifications across PSH cases and controls and explored precision and recall. All three methods demonstrated initial face validity to delineate PSH cases from non-PSH TBI controls. Future optimization and implementation of the described computational frameworks with real-time patient data could improve the standard monitoring and management of this challenging clinical syndrome.Peritoneal dialysis (PD) is a widely used renal replacement therapy for chronic kidney disease patients, yet malnutrition remains a common complication linked to poor outcomes. Nearly 40% of PD patients in China are malnourished, with serum albumin levels below 35 g/L. Amino acid-based peritoneal dialysis solutions (AA-PDS), which replace glucose with amino acids as the osmotic agent, have been used globally for decades to improve nutrition and reduce peritoneal damage, but they were introduced to mainland China only in 2022. This study aims to evaluate the efficacy and safety of AA-PDS in improving nutritional status and clinical outcomes among malnourished PD patients in mainland China, providing a potential new therapeutic option for this population.
This multicentre, open-label, prospective, parallel-controlled study will enrol patients with end-stage kidney disease who were stable on PD for more than 3 months. A total of 500 eligible patients will be divided into the intervention group undergoing PD once every morning using 2.0 L of amino acid (15) PD solution and the control group using conventional PD solution (lactate) in a 4:1 ratio based on their willingness and clinical needs. Our primary outcome is serum albumin, while other nutritional indicators, including serum prealbumin, serum transferrin, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and ultrafiltration volumes are considered secondary outcomes. Information such as demographics, clinical and biochemical characteristics, examination indicators, anthropometry measurements and Subjective Global Assessment scores will be collected at baseline, 1 month, 3 month and 6 month follow-up. Statistical analysis will be conducted using SAS V.9.4 or higher versions. All statistical tests are conducted through the two-tailed test, and a p value≤0.05 will be considered statistically significant. The description of quantitative indicators will be used in calculating the number of cases, mean, SD, median and IQR method. The classification indicators will be used to describe the number of cases and percentages (frequency and frequency rate).
This multicentre study obtained ethical approval from the lead ethics committee at the First Affiliated Hospital of Zhejiang Chinese Medical University (approval no.: 2024-KLS-379-02). Additionally, each participating site provided local ethical approval or a formal waiver, as required by their institutional policies. The results will be reported in a peer-reviewed journal and a relevant academic conference.
ChiCTR2400090896.
To examine the relationship between ethical conflicts and ethical decision-making ability, ethical sensitivity and demographic factors as mediator/moderator roles.
A cross-sectional survey was conducted from June to December 2024.
This study involved 503 intensive care unit nurses from eight tertiary hospitals across Zhejiang, Guangdong and Guangxi provinces. Participants completed validated instruments including the Ethical Conflict Nursing Questionnaire-Critical Care Version, the Chinese Moral Sensitivity Questionnaire-Revised version and the Chinese Version of Judgement About Nursing Decision. SPSS 27.0 was used for descriptive statistics and Pearson correlation analysis, while PROCESS macro handled mediation and moderation analysis.
The relationship between ethical conflict and decision-making ability was significantly mediated by both moral responsibility/strength and burden, with the latter demonstrating a stronger indirect effect. Furthermore, exploratory moderated mediation analysis showed that this mediation model varied significantly across different levels of work experience and types of intensive care unit. Given the exploratory nature of these findings, they require verification in future confirmatory studies.
The association between ethical conflict and decision-making ability was mediated by ethical sensitivity. This pathway was moderated by work environment and qualifications, indicating the need for tailored interventions.
Developing nurses' ethical sensitivity is a key strategy for managers aiming to improve ethical decision-making when nurses face ethical conflicts.
This study addressed ambiguous findings regarding the relationship between ethical conflict and nurses' decision-making ability. For nurse managers, fostering ethical sensitivity among staff represents a key strategy for mitigating the ethical conflicts that are negatively associated with decision-making ability.
The strengthening the reporting of observational studies in epidemiology statement (STROBE) was followed.
No patient or public contribution.
Chinese Clinical Trial Registry (ChiCTR): MR-33-24-032956
To combine the Job Demand-Resource (JD-R) model with machine learning (ML) techniques to identify the key factors affecting job burnout (JB) among Chinese nurses.
A Cross-Sectional Study.
This study utilised a stratified sampling method to recruit 3449 eligible nurses from eight cities in Shandong Province between June and December 2021. After data cleaning, 2998 valid samples were retained. The dataset was randomly split into a training set (75%) and a test set (25%). The Boruta algorithm was used to select relevant variables for model construction. Six-millilitre models were compared using cross-validation, with mean absolute error (MAE), root mean square error (RMSE) and R-squared (R 2) used to select the best model. The Shapley Additive Explanation (SHAP) method was used to identify key predictors of JB.
The average JB score among nurses was (32.88 ± 11.45). Among the 20 variables, 17 were identified by the Boruta algorithm as strongly associated with JB, including 7 job demand-related variables and 10 job resource-related variables. After comparing 6-ml models, the Random Forest was identified as the optimal model (MAE = 6.56, RMSE = 8.86, R 2 = 0.63). SHAP analysis further revealed the importance ranking of these 17 variables and identified four key predictors: psychological distress (SHAP = 4.07), perceived organisational support (SHAP = 2.03), emotional intelligence (SHAP = 1.81) and D-type personality (SHAP = 1.73).
By integrating the JD-R model framework, ML algorithms proved effective in identifying critical predictors of nurses' JB. SHAP analysis identified four primary determinants: psychological distress, perceived organisational support, emotional intelligence and D-type personality. These findings provide novel insights for nursing administrators to optimise intervention strategies.
Not applicable.
This study did not include patient or public involvement in its design, conduct or reporting.
We aimed to identify the barriers and facilitators to participation in interventions aimed at improving cognitive function among older adults with type 2 diabetes mellitus (T2DM) and mild cognitive impairment (MCI) in rural areas.
This study is the qualitative phase of a larger randomised controlled trial and employs a descriptive approach.
We conducted in-depth, semi-structured face-to-face interviews with older adults diagnosed with T2DM and MCI in rural areas of China in November 2023. The interviews were guided by the Capability, Opportunity, Motivation, and Behaviour (COM-B) model and the Theoretical Domains Framework (TDF). The interview recordings were transcribed and analysed using NVivo V.11 software. Two research assistants independently coded the transcriptions, and the identified barriers and facilitators were mapped to the corresponding domains within the COM-B model and TDF.
A total of 26 older adults, aged 60–87, participated in the interviews. Nine themes were identified, including disease awareness, disease attitude, social interaction, responsibility and health, emotion guidance, organisational management, expertise and benefits, self-perception and role identity crisis. These themes mapped onto the three core components of the COM-B model as well as the nine domains of the TDF, which include: knowledge, environmental context and resources, social influences, intentions, emotions, reinforcement, beliefs about consequences, beliefs about capabilities and social identity.
Addressing barriers and leveraging facilitators can effectively enhance the willingness of elderly patients in rural areas to participate in interventions aimed at improving cognitive function. A multi-layered approach should be adopted, focusing on disease knowledge and attitudes, social interactions, the impact of the disease burden on both family and individuals, emotional state, organisational management, team expertise and timely assessment, individual self-efficacy and role perception.
The study adheres to the COREQ reporting guidelines.
The participants in this study were older adults with T2DM and MCI from rural areas. Participants were involved in the development of the interview guide and were subsequently interviewed regarding the facilitators and barriers to their participation in cognitive function interventions.
To investigate diabetes family involvement, including supportive and nonsupportive family behaviours in China, and explore the relationships among opposite forms of family involvement, diabetes self-management and glycaemic control.
A cross-sectional study.
Type 2 diabetes patients were recruited from hospitals in Nanjing, Shanghai and Jinan, and communities across China, between April 2023 and August 2023. A total of 1648 patients completed questionnaires regarding diabetes family involvement, diabetes self-management, perceived glycaemic control and patient characteristics. Data analysis was conducted using SPSS 26.0 and PROCESS macro.
The mean scores for supportive and nonsupportive family behaviours were 19.14 out of 40 and 12.47 out of 30, respectively, resulting in an overall family involvement score of 6.67. Overall family involvement, especially supportive family behaviours, was positively related to diabetes self-management and perceived glycaemic control, whereas nonsupportive family behaviours were not. Diabetes self-management partially mediated the relationships between both overall family involvement and supportive family behaviours with perceived glycaemic control.
Diabetes family involvement was suboptimal. Overall family involvement, especially supportive family behaviours, could not only directly improve glycaemic control but also indirectly enhance it through promoting diabetes self-management.
The findings highlight the importance of promoting supportive family involvement and patient self-management in diabetes management.
This study endorses the necessity for healthcare professionals to integrate the family unit into diabetes management and implement interventions at the family unit level, to address the neglect of families in current interventions. It also advocates for promoting supportive family involvement rather than all family involvement in future interventions. Promoting supportive family involvement and patient self-management can better improve patients' glycaemic control and alleviate the burden on medical and social systems.
This study adheres to the STROBE guideline of reporting.
No Patient or Public Contribution.
FreshRSS 