Obesity aggravates the role of C-reactive protein on knee pain: A cross-sectional analysis with NHANES data.

OBJECTIVE: To examine the relationship between C-reactive protein (CRP) and knee pain, and further explore whether this association is mediated by obesity. METHODS: The population was derived from 1999 to 2004 National Health and Nutrition Examination Survey. Logistic regression was used to analyze the relationship between CRP and knee pain in three different models, and the linear trend was analyzed. A restricted cubic spline model to assess the nonlinear dose-response relationship between CRP and knee pain. Mediation analyses were used to assess the potential mediating role of obesity. Subgroup analyses and sensitivity analyses were performed to ensure robustness. RESULTS: Compared with adults with lower CRP (first quartile), those with higher CRP had higher risks of knee pain (odds ratio 1.39, 95% confidence interval 1.12-1.72 in third quartile; 1.56, 1.25-1.95 in fourth quartile) after adjusting for covariates (except body mass index [BMI]), and the proportion mediated by BMI was 76.10% (p < .001). BMI and CRP were linear dose-response correlated with knee pain. The odds ratio for those with obesity compared with normal to knee pain was 2.27 (1.42-3.65) in the first quartile of CRP, 1.99 (1.38-2.86) in the second, 2.15 (1.38-3.33) in the third, and 2.92 (1.72-4.97) in the fourth. CONCLUSION: Obesity mediated the systemic inflammation results in knee pain in US adults. Moreover, higher BMI was associated with higher knee pain risk in different degree CRP subgroups, supporting an important role of weight loss in reducing knee pain caused by systemic inflammation.

Diabetes distress profiles and health outcomes of individuals with type 2 diabetes and overweight/obesity: A cluster analysis.

AIMS: To determine the prevalence and patterns of diabetes distress, and evaluate the differences in health outcomes between profiles. METHODS: This cross-sectional study included 330 adults with T2DM and overweight/obesity. The participants completed questionnaires on diabetes distress, sleep quality, self-efficacy, depression, anxiety and positive and negative affect. A cluster analysis was performed to identify different patterns of diabetes distress and one-way ANOVA was used to investigate the differences in physical and psychological outcomes between profiles. RESULTS: 30.6% of patients were identified as moderately to highly distressed, with the regimen-related distress found to be the most prominent. The Cluster analysis revealed four distinct clusters: (1) "comprehensively exhausted profile"; (2) "strained profile"; (3) "high internal anguish profile"; (4) "unperturbed profile". The measures of fasting blood glucose (FBG), glycated hemoglobin (HbA1c), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, sleep quality, depression, anxiety, positive and negative affect and self-efficacy differ between clusters. CONCLUSIONS: This study identified important differences that existed in patterns of diabetes distress among people with T2DM and overweight/obesity, and this variation can be utilized to tailor intervention strategies to the particular needs of different subgroups within individuals with T2DM.

Atherosclerosis on a Chip: A 3-Dimensional Microfluidic Model of Early Arterial Events in Human Plaques.

BACKGROUND: Realistic reconstruction of the in vivo human atherosclerotic environment requires the coculture of different cell types arranged in atherosclerotic vessel-like structures with exposure to flow and circulating cells, presenting challenges for disease modeling. This study aimed to develop a 3-dimensional tubular microfluidic model with quadruple coculture of human aortic smooth muscle cells, human umbilical cord vein endothelial cells, and foam cells to recreate a complex human atherosclerotic vessel in vitro to study the effects of flow and circulating immune cells. METHODS: We developed a coculture protocol utilizing BFP (blue fluorescent protein)-labeled human aortic smooth muscle cells, GFP (green fluorescent protein)-labeled human umbilical cord vein endothelial cells, and THP-1 macrophage-derived, Dil-labeled oxidized LDL (low-density lipoprotein) foam cells within a fibrinogen/collagen I-based 3-dimensional ECM (extracellular matrix). Perfusion experiments were conducted for 24 hours on both atherosclerotic vessels and healthy vessels (BFP-labeled human aortic smooth muscle cells and GFP-labeled human umbilical cord vein endothelial cells without foam cells). Additionally, perfusion with circulating THP-1 monocytes was performed to observe cell extravasation and recruitment. RESULTS: The resulting vessels displayed early lesion morphology, with a layered composition including an endothelium and media, and foam cells accumulating in the subendothelial space. The layered wall composition of both atherosclerotic and healthy vessels remained stable under perfusion. Circulating THP-1 monocytes demonstrated cell extravasation into the atherosclerotic vessel wall and recruitment to the foam cell core. The qPCR analysis indicated increased expression of atherosclerosis markers in the atherosclerotic vessels and adaptation of vascular smooth muscle cell migration in response to flow and the plaque microenvironment, compared with control vessels. CONCLUSIONS: The human 3-dimensional atherosclerosis model demonstrated stability under perfusion and allowed for the observation of immune cell behavior, providing a valuable tool for the atherosclerosis research field.

Anti-inflammatory diet reduces risk of metabolic dysfunction-associated fatty liver disease among US adults: a nationwide survey.

BACKGROUND: While dietary intervention was an important public health strategy for the prevention and intervention of metabolic dysfunction-associated fatty liver disease (MAFLD), the effect of diet-induced inflammation on MAFLD has not been studied in detail. Therefore, we aimed to analyze the relationship between dietary inflammatory index (DII) and MAFLD. METHODS: This study included data from the National Health and Nutrition Examination Survey 2017-2018. MAFLD was diagnosed based on the presence of hepatic steatosis, as determined by transient elastography, along with evidence of either overweight/obesity, type 2 diabetes mellitus, or metabolic dysfunction. DII was calculated using 27 dietary components collected through 24-hour dietary recall questionnaire. Weighted logistic regression was used to analyze the relationship between DII and MAFLD and its main components in three different models. Subgroup analyses were performed by age, sex, and alcohol use. RESULTS: A total of 1991 participants were included, and the MAFLD group had higher DII scores. After adjusting for age, sex, race, physical activity, smoking status, and alcohol use, the highest quartile of DII was associated with increased risk of MAFLD (OR:2.90, 95% CIs: 1.46, 5.75). Overweight/obesity, central obesity, low high density lipoprotein cholesterol (HDL-C) and high C-reactive protein (CRP) also shared the same characteristics in the main components of MAFLD. Results were consistent across subgroups (age, sex, and alcohol use). CONCLUSIONS: A higher DII diet was positively associated with the risk of MAFLD in American adults, particularly as related to overweight/obesity, central obesity, high CRP level, and low HDL-C level.

The Role of Self-Efficacy Enhancement in Improving Self-Management Behavior for Type 2 Diabetes Mellitus Patients.

Background: The effectiveness of a self-efficacy-focused structured education program for patients with diabetes mellitus has been verified. However, changes in self-efficacy for the behavior change mechanism in patients who participated in the program require clarification. Aim: To analyze the mechanism of self-management behavioral variations in patients with type 2 diabetes mellitus who underwent a self-efficacy-focused structured education program. Methods: A secondary analysis of patients who received a self-efficacy-focused structured education program was conducted using data from a multicenter randomized controlled trial. The relationships among the 3-, 6-, and 12-month changes in diabetes knowledge, self-efficacy, diabetes distress, and self-management behaviors in patients with type 2 diabetes mellitus were studied using a structural equation model. Results: Enhancement of self-efficacy among patients receiving a self-efficacy-focused structured education program directly influenced improvements in self-management behaviors at 3, 6 and 12 months. The increase in diabetes knowledge directly and indirectly improved self-management behaviors at 3 months, but the direct effect on behavior disappeared at 6 months and the indirect effect on behavior by enhancing self-efficacy only lasted until 6 months. The decrease in diabetes distress directly influenced improvement in self-management behaviors at 3 months. While it did not directly influence self-management behavior improvement at 6 and 12 months, it indirectly affected behavior improvement by enhancing self-efficacy. Conclusion: The enhancement of self-efficacy plays a core role in improving and maintaining self-management behaviors in patients with type 2 diabetes mellitus who receive self-efficacy-focused structured education programs. Patients' behaviors can be improved by gaining more diabetes knowledge and mitigating diabetes distress at the 3- and 6-month follow-up. Improvements in behaviors at the 12-month follow-up could be achieved by mitigating diabetes distress.

C-reactive protein-albumin-lymphocyte index as a feasible nutrition-immunity-inflammation marker of the outcome of all-cause and cardiovascular mortality in elderly.

BACKGROUND & AIMS: The imbalance of nutrition-immunity-inflammation status might be associated with the mortality risk in the elderly. This study aimed to assess the relationship between the C-reactive protein (CRP)-albumin-lymphocyte (CALLY) index and all-cause and cardiovascular disease (CVD) mortality in the elderly. METHODS: The data from records of older adults (≥ 60 years) were derived from 1999 to 2010 and 2015-2018 National Health and Nutrition Examination Survey. Weighted Cox proportional hazard regression was used to analyze the relationship between CALLY and all-cause mortality and CVD mortality in three different models, and the linear trend was analyzed. A restricted cubic spline model was used to evaluate the nonlinear dose-response relationship and determine the critical threshold of CALLY to divide the population into two groups. Kaplan-Meier analysis and log-rank test were used to evaluate the cumulative survival rates of different groups. Subgroup analyses and sensitivity analyses were performed to ensure robustness. RESULTS: Compared to the first quartile of natural log-transformation (ln) CALLY, the highest quartile of ln CALLY was negatively correlated with the risk of all-cause mortality (HR = 0.67, 95% CI: 0.56-0.79. P < 0.05) and CVD mortality (HR = 0.65, 95% CI: 0.47-0.89. P < 0.05) in model 3. Ln CALLY was linear dose-response correlated with mortality. We determined that the critical threshold for ln CALLY in elderly was 1.00. Elderly with higher ln CALLY (≥ 1.00) had significantly increased survival rates (P < 0.05). CONCLUSION: CALLY showed a significant negative linear association with the risk of all-cause mortality and CVD mortality, and higher CALLY was beneficial to the survival outcomes of the elderly.

Effects of nudge strategy-based dietary education intervention in patients with type 2 diabetes mellitus: A cluster randomized controlled trial.

OBJECTIVES: We aimed to assess the clinical effects of dietary education intervention utilizing the nudge strategy in individuals with type 2 diabetes mellitus (T2DM). BACKGROUND: The global prevalence of T2DM and its associated complications presents a significant health challenge. While the benefits of dietary education intervention for blood glucose management are widely acknowledged, patients often struggle to adhere to dietary recommendations. The implementation of the nudge strategy may offer a promising solution to change unhealthy dietary behavior and enhance diabetes control among individuals with T2DM. METHODS: This is a sub-study within a broader cluster-randomized trial that evaluated the effects of nudge-based dietary education and traditional dietary education intervention. Measurements of HbA1c, fasting blood glucose (FBG), body mass index (BMI), blood lipid levels, blood pressure, dietary behavior, and diabetes distress were assessed at baseline and 3 months after the intervention in 147 individuals with T2DM from six primary care practices in Beijing, China. RESULTS: All outcome measurements were complete at two time points for 134 participants. Results showed that compared to the control group, the intervention group achieved a significantly greater reduction in HbA1c, FBG, BMI, total cholesterol, low-density lipoprotein cholesterol, blood pressure, total energy intake, carbohydrate intake, fat intake, and protein intake and had lower diabetes distress. The intervention group also maintained HDL-C levels and had a significantly greater increase in vegetable intake, while changes in triglycerides were similar in the two groups. CONCLUSION: The present study provides evidence that nudge strategy-based dietary education intervention is effective in improving blood glucose, BMI, blood lipid levels, and blood pressure and facilitating changes in patients' dietary behavior and diabetes distress. These findings suggest that implementing nudge strategies can contribute to the optimization of T2DM dietary management and overall patient well-being.

Delivering a Smartphone Serious Game-Based Intervention to Promote Resilience for Adolescents With Type 1 Diabetes: A Feasibility Study.

INTRODUCTION: The aim of this study is to test the feasibility of a smartphone serious game-based intervention to promote resilience for adolescents with type 1 diabetes mellitus (T1DM). METHOD: A two-arm feasibility study was employed. Adolescents with T1DM were recruited. Adolescents in intervention group completed the serious game (named "WeCan") in one month. We evaluated feasibility and acceptability using criteria such as the recruitment response rate, the follow-up response rate, and satisfaction. RESULTS: Sixty-one adolescents with T1DM were included in this study. The study had a recruitment response rate of 62.89% (61/97) and an intervention completion rate of 64.52% (20/31). Eighty-two percent of the adolescents were satisfied with WeCan, which they perceived to have the advantages of being a lively format, attractive, and privacy, easy to operate, and improved attitude towards diabetes. CONCLUSIONS: These findings suggest that WeCan demonstrated good feasibility among the target population. However, the efficacy of health-related outcomes needs to be clarified in future studies.

An ecological resilience model for adolescents with type 1 diabetes: a cross-sectional study.

BACKGROUND: Highly resilient adolescents with type 1 diabetes have been proved to achieve within-target glycemic outcomes and experience high quality of life. The ecological resilience model for adolescents with type 1 diabetes was developed in this study. It aims to increase our understanding of how resilience is both positively and negatively affected by internal and environmental ecological factors. METHODS: This cross-sectional study surveyed 460 adolescents with type 1 diabetes from 36 cities in 11 provinces, China. Participants completed self-report questionnaires on resilience, family functioning, peer support, peer stress, coping style, and demographics. Standard glycated hemoglobin tests were performed on the adolescents. Structural equation modeling was applied to analyze the data. RESULTS: The ecological resilience model for adolescents with type 1 diabetes was a good model with a high level of variance in resilience (62%). Family functioning was the most important predictor of resilience, followed by peer support, positive coping, and peer stress. Moreover, positive coping was the mediator of the relationship between family functioning and resilience. Positive coping and peer stress co-mediated the association between peer support and resilience. CONCLUSIONS: Family functioning, peer relationships, and positive coping are interrelated, which may jointly influence resilience. The findings provide a theoretical basis for developing resilience-promotion interventions for adolescents with type 1 diabetes, which may lead to health improvements during a vulnerable developmental period.

Effects of motor imagery training on gait performance in individuals after stroke: a systematic review and meta-analysis.

PURPOSE: This review systematically explores and summarise the effects of motor imagery training (MIT) compared to conventional therapy on gait performance in individuals after stroke. MATERIALS AND METHODS: Randomised controlled trials (RCTs) were systematically searched in five electronic databases (PubMed, EMBASE, PsycINFO, OVID Nursing and CINAHL) from inception to 30 December 2022. Studies investigating MITs, targeted at individuals after stroke were eligible. Data were extracted related to study and intervention characteristics. RESULTS: Sixteen studies were included. Compared with 'routine methods of treatment or training', the meta-analyses showed that MIT was more effective in improving cadence immediately post intervention (SMD: 1.22, 95% CI: 0.59, 1.85, p = 0.0001, I2 = 25%) and at 1- or 2-months post intervention (SMD: 0.78, 95% CI: 0.35, 1.20, p = 0.0004, I2 = 46%). The results also showed that MIT improves the step length of the affected side and the unaffected side at 1- or 2-months post intervention. Separate meta-analyses were also conducted on different tests of walking endurance (assessed by the 6-Minute Walk Test) and functional mobility (assessed by the Timed-Up-and-Go test). CONCLUSIONS: MIT effectively improved gait performance. The findings in individuals after stroke remain inconclusive due to significant heterogeneity in included studies.

Restoring gait performance and daily functional abilities is an important goal of post-stroke rehabilitation.Motor imagery training (MIT) may be a promising method to improve gait restoration and is expected to provide another option for the effective rehabilitation of stroke patients.This review highlights the limited research on MIT and thus the limited evidence to guide clinical rehabilitation.In the stroke rehabilitation, clinical specialists may consider incorporating MIT into the treatment programme to improve patients' gait performance and ensure effective early lower limb rehabilitation.

Characterization and function of PTEN-induced putative kinase 1 (PINK1) in process of Zinc alleviates hepatic lipid deposition of yellow catfish (Pelteobagrus fulvidraco).

PTEN-induced putative kinase 1 (PINK1) is a key regulator of mitophagy, however, the relevant information remains poorly understood on aquatic animals. Here, a PINK1 gene was cloned, characterized and functionally studied in yellow catfish. PINK1 encoded a protein containing 570 amino acids, 2 functional domains. High fat (15.66%) fed fish showed a downregulation trend of liver PINK1 expression than that of normal fat (10.14%) group, and was reversed by the addition of Zn. In the in vitro study, high fat (HF) can increase lipid deposition and decrease by addition Zn (HFZ) in hepatocytes, whereas above phenomena reversed by overexpression/interference of PINK1, respectively. In addition, the addition of Zn can significantly affect mitochondrial activity, increase mitophagy, and improve the antioxidant activity of hepatocytes. Together, these findings illustrated that yellow catfish PINK1 is conserve, and it participated in mitochondria control of fish. These findings indicate Zn could alleviate high fat-induced hepatic lipid deposition of fish by activating PINK1-mediated mitophagy and provide basis for further exploring new approach for decreasing lipid deposition in fish products during aquaculture.

ARRDC3 regulates the targeted therapy sensitivity of clear cell renal cell carcinoma by promoting AXL degradation.

AXL plays crucial roles in the tumorigenesis, progression, and drug resistance of neoplasms; however, the mechanisms associated with AXL overexpression in tumors remain largely unknown. In this study, to investigate these molecular mechanisms, wildtype and mutant proteins of arrestin domain-containing protein 3 (ARRDC3) and AXL were expressed, and co-immunoprecipitation analyses were performed. ARRDC3-deficient cells generated using the CRISPR-Cas9 system were treated with different concentrations of the tyrosine kinase inhibitor sunitinib and subjected to cell biological, molecular, and pharmacological experiments. Furthermore, immunohistochemistry was used to analyze the correlation between ARRDC3 and AXL protein expressions in renal cancer tissue specimens. The experimental results demonstrated that ARRDC3 interacts with AXL to promote AXL ubiquitination and degradation, followed by the negative regulation of downstream signaling mechanisms, including the phosphorylation of protein kinase B and extracellular signal-regulated kinase. Notably, ARRDC3 deficiency decreased the sunitinib sensitivity of clear cell renal cell carcinoma (ccRCC) cells in a manner dependent on the regulation of AXL stability. Overall, our results suggest that ARRDC3 is a negative regulator of AXL and can serve as a novel predictor of sunitinib therapeutic response in patients with ccRCC.

The specially designed nudging tableware promotes healthy food choices: Evidence from a randomized crossover trial in normal-weight young adults.

PURPOSE: To evaluate the effects of the specially designed nudging tableware, including a plate and bowl, on individual food choices in normal-weight young adults and preliminarily explore its mechanisms. We hypothesized that the toolset could increase the choice of vegetables and decrease that of rice. METHODS: A randomized, single-blind, two-period crossover trial was carried out among 40 normal-weight university students in China. All subjects completed two buffets separated by an interval of one week, wearing the eye tracker. Vegetable choice, evaluated through the proportion of vegetables, was the primary outcome, and the weight of vegetables and rice were the secondary outcomes. The mechanisms of the decision-making process were preliminarily explored through eye tracking. RESULTS: The usage of the nudging tableware significantly increased the proportion of vegetables and decreased the amount of rice taken (P<0.05), while insignificantly increased the weight of vegetables (P = 0.079). Eye tracking shows that the nudging plate significantly prolonged the food-choosing process and fixation duration on vegetables (P<0.05), and the latter was positively correlated to the increased quantity of vegetables while using the nudging plate (r = 0.493, P<0.01). CONCLUSION: The specially designed nudging tableware might be an effective and practical tool to promote the choice of less rice and more vegetables. Mechanisms behind this change might include automatic and unconscious processes with the inconspicuously smaller capacity of the bowl and larger portion size of the vegetable segment, and increased attention triggered by the vegetable patterns and larger green underpainting.

Weight Management during Pregnancy and the Postpartum Period in Women with Gestational Diabetes Mellitus: A Systematic Review and Summary of Current Evidence and Recommendations.

BACKGROUND: Weight management during pregnancy and the postpartum period is an important strategy that can be utilized to reduce the risk of short- and long-term complications in women with gestational diabetes mellitus (GDM). We conducted a systematic review to assess and synthesize evidence and recommendations on weight management during pregnancy and the postpartum period in women with GDM to provide evidence-based clinical guidance. METHODS: Nine databases and eighteen websites were searched for clinical decisions, guidelines, recommended practices, evidence summaries, expert consensus, and systematic reviews. RESULTS: A total of 12,196 records were retrieved and fifty-five articles were included in the analysis. Sixty-nine pieces of evidence were summarized, sixty-two of which focused on pregnancy, including benefits, target population, weight management goals, principles, weight monitoring, nutrition assessment and counseling, energy intake, carbohydrate intake, protein intake, fat intake, fiber intake, vitamin and mineral intake, water intake, dietary supplements, sugar-sweetened beverages, sweeteners, alcohol, coffee, food safety, meal arrangements, dietary patterns, exercise assessment and counseling, exercise preparation, type of exercise, intensity of exercise, frequency of exercise, duration of exercise, exercise risk prevention, and pregnancy precautions, and seven focused on the postpartum period, including target population, benefits, postpartum weight management goals, postpartum weight monitoring, dietary recommendations, exercise recommendations, and postpartum precautions. CONCLUSIONS: Healthcare providers can develop comprehensive pregnancy and postpartum weight management programs for women with GDM based on the sixty-nine pieces of evidence. However, because of the paucity of evidence on postpartum weight management in women with GDM, future guidance documents should focus more on postpartum weight management in women with GDM.

Enhanced Mechanical Strength of Metal Ion-Doped MXene-Based Double-Network Hydrogels for Highly Sensitive and Durable Flexible Sensors.

Development of conductive hydrogels with high sensitivity and excellent mechanical properties remains a challenge for constructing flexible sensor devices. Herein, a universal strategy is presented for enhancing the mechanical strength of Mxene-based double-network hydrogels through metal ion coordination effects. Polyacrylamide (PAM)/sodium alginate (SA)/Mxene double-network (PSM-DN) hydrogels were prepared by metal ion impregnation of PAM/SA/Mxene (PSM) hydrogels. High electrical conductivity is achieved due to MXene nanosheets, while the strong coordination bond between metal ions and SA constructs a second network that increases the mechanical strength of the hydrogel by an order of magnitude. Mechanical tests demonstrated that the elastic modulus of hydrogels matches that of human tissues. Hence, they can be used as a highly sensitive electronic skin sensor to recognize the movement of different joints in humans and also as a pressure sensing interface to recognize characters for anticounterfeiting and information transfer. This work can promote the practical application of conductive hydrogels in high-tech fields, such as flexible electronic skin and interface interaction.

Developing a prediction model of career plateau for nurses: A cross-sectional study.

AIM: The study aimed to understand the current situation regarding career plateaus experienced by nurses. The objectives were to analyze factors influencing career plateau, and develop a prediction model for career plateau for nurses. DESIGN: A cross-sectional survey was conducted using convenience sampling. METHODS: Participants were 2680 nurses from six tertiary hospitals. Univariable and multivariable logistic regression analyses were carried out to investigate the influencing factors and develop a prediction model of career plateau. RESULTS: The overall incidence rate of nurses reaching a career plateau was 34%. Logistic regression analysis showed that age, position, whether specialized nurses, life satisfaction, organizational support, personal ability and selection tendency were the factors influencing career plateau. The prediction model indicates that older nurses are more likely to reach a career plateau than their younger counterparts, and those who think they have strong personal ability and do not value their work very much are more likely to have a career plateau. Giving nurses more promotion space and learning opportunities, improving life satisfaction, and organizational support are conducive to reducing the occurrence of career plateau.

Strong and Tough Antifreezing Hydrogel Sensor via the Synergy of Coordination and Hydrogen Bonds.

Hydrogel sensors are fascinating as flexible sensors and electronic skin due to their excellent biocompatibility and structure controllability. However, developing conductive hydrogels possessing both excellent mechanical and antifreezing properties for environmental-adaptive sensors remains a challenge. Herein, a strategy of combining betaine and metal ions to construct poly(acrylic acid) (PAA)-based high-conductive hydrogels has been reported. PAA-Al3+/betaine hydrogels with high toughness and antifreezing property were prepared by a one-step UV curing method. Their high toughness is attributed to the coordination of metal ions with the carboxylic groups in PAA, the interaction of betaine with PAA, and the formation of hydrogen bonds between them and water molecules. Moreover, the significant antifreezing property is due to the reduction of free water in the hydrogel. This, in turn, is attributed to the hydration of metal ions and the synergistic hydrogen bonding between betaine and water. The experiments demonstrate that the hydrogel has excellent mechanical property, high conductivity, superior transparency, antiswelling property, antipuncture as well as shape memory properties, and especially, low cytotoxicity. It can be used as a sensor for motion detection and information recognition. This work provides new insights into the application of flexible sensors and human-machine interfaces in multienvironmental conditions.

Effect of Artificial Intelligence-based Health Education Accurately Linking System (AI-HEALS) for Type 2 diabetes self-management: protocol for a mixed-methods study.

BACKGROUND: Patients with type 2 diabetes (T2DM) have an increasing need for personalized and Precise management as medical technology advances. Artificial intelligence (AI) technologies on mobile devices are being developed gradually in a variety of healthcare fields. As an AI field, knowledge graph (KG) is being developed to extract and store structured knowledge from massive data sets. It has great prospects for T2DM medical information retrieval, clinical decision-making, and individual intelligent question and answering (QA), but has yet to be thoroughly researched in T2DM intervention. Therefore, we designed an artificial intelligence-based health education accurately linking system (AI-HEALS) to evaluate if the AI-HEALS-based intervention could help patients with T2DM improve their self-management abilities and blood glucose control in primary healthcare. METHODS: This is a nested mixed-method study that includes a community-based cluster-randomized control trial and personal in-depth interviews. Individuals with T2DM between the ages of 18 and 75 will be recruited from 40-45 community health centers in Beijing, China. Participants will either receive standard diabetes primary care (SDPC) (control, 3 months) or SDPC plus AI-HEALS online health education program (intervention, 3 months). The AI-HEALS runs in the WeChat service platform, which includes a KBQA, a system of physiological indicators and lifestyle recording and monitoring, medication and blood glucose monitoring reminders, and automated, personalized message sending. Data on sociodemography, medical examination, blood glucose, and self-management behavior will be collected at baseline, as well as 1,3,6,12, and 18 months later. The primary outcome is to reduce HbA1c levels. Secondary outcomes include changes in self-management behavior, social cognition, psychology, T2DM skills, and health literacy. Furthermore, the cost-effectiveness of the AI-HEALS-based intervention will be evaluated. DISCUSSION: KBQA system is an innovative and cost-effective technology for health education and promotion for T2DM patients, but it is not yet widely used in the T2DM interventions. This trial will provide evidence on the efficacy of AI and mHealth-based personalized interventions in primary care for improving T2DM outcomes and self-management behaviors. TRIAL REGISTRATION: Biomedical Ethics Committee of Peking University: IRB00001052-22,058, 2022/06/06; Clinical Trials: ChiCTR2300068952, 02/03/2023.

The role of family support in diabetes self-management among rural adult patients.

AIMS AND OBJECTIVES: This study aimed to investigate the role of the family in supporting diabetes self-management and explore the possible mechanisms between family and diabetes self-management among rural patients in China. BACKGROUND: The prevalence of Type 2 diabetes mellitus (T2DM) is growing rapidly in rural areas of China, where healthcare resources remain relatively poor and family members play an important role in chronic disease self-management. DESIGN: This was a multicentre cross-sectional study. METHODS: A total of 276 adults with T2DM were recruited from nine county hospitals in China. Diabetes self-management, family support, family function, and family self-efficacy were evaluated using the mature scales. A theoretical model was built based on the social learning family model and previous studies and then verified using a structural equation model. The STROBE statement was used to standardise the study procedure. RESULTS: Family support and general family factors, including family function and self-efficacy, were positively correlated with diabetes self-management. Family support fully mediates the relationship between family function and diabetes self-management and partially mediates the relationship between family self-efficacy and diabetes self-management. The model explained 41% of the variability in diabetes self-management and had a good model fit. CONCLUSION: General family factors can explain nearly half of the change in diabetes self-management in rural areas of China, while family support is a mediator between general family factors and diabetes self-management. Family self-efficacy, a potential intervention point of family based diabetes self-management education, can be improved by building special lessons for family members. RELEVANCE TO CLINICAL PRACTICE: This study emphasises the role of family in diabetes self-management and proposes suggestions for diabetes self-management intervention among patients with T2DM in rural areas of China. PATIENT OR PUBLIC CONTRIBUTION: Patients and their family members completed the questionnaire which was used for data collection.

Interventions targeting psychosocial adaptation in people with stroke: A scoping review.

OBJECTIVE: This scoping review aimed to describe and map interventions targeting psychosocial adaptation in people with stroke. METHODS: A scoping review was conducted using the Joanna Briggs Institute methodology and reported according to Systematic Review and Meta-Analyses Extension for Scoping Reviews guidelines. We included original studies with interventions targeting psychosocial adaptation (concept) on people with stroke (population) in any setting (context). We searched five online electronic databases (PubMed, Embase, CINAHL, PsycINFO, and Cochrane Central Registry of Controlled Trials). We described interventions in terms of design characteristics, theoretical basis, details of interventions, and quantitative outcomes indicated in psychosocial adaptation. RESULTS: Forty-three studies were identified. Five intervention categories were identified to describe the interventions targeting psychosocial adaptation. Quantitative outcomes indicated psychosocial adaptation in our review were grouped into four domains: global adaptation, psychological adaptation, social adaptation, and others. CONCLUSIONS: The mapping and description brought to light the large heterogeneity of interventions targeting psychosocial adaptation in people with stroke. PRACTICE IMPLICATIONS: Deepening understanding of psychosocial adaptation can help health professionals further develop effective interventions aiming at promoting psychosocial adaptation and reducing negative health sequelae, such as risk of reduced psychosomatic recovery post stroke.