Fragility fractures represent the final clinical manifestation of osteoporosis and are influenced by a range of risk factors. This article discusses the findings from two large-scale studies utilizing biobank and genomic data to investigate the relationships among obesity, type 2 diabetes and fracture risk, and to explore their implications for health management. The studies suggest that general obesity(defined by body mass index, BMI), central obesity(defined by waist circumference), and peripheral obesity exert different effects on fracture risk in older adults. Specifically, individuals who are overweight based on BMI have a lower fracture risk compared to those with normal weight, whereas an increased waist circumference is associated with a higher fracture risk. Moreover, genetic research indicates that genetically determined type 2 diabetes is not causally associated with increased fracture risk. In contrast, observational studies have reported a higher fracture risk in patients with type 2 diabetes; however, this association becomes non-significant after adjusting for diabetes-related risk factors. These findings highlight that maintaining a moderately elevated BMI may benefit bone formation in the elderly by providing mechanical loading to stimulate bone formation. Additionally, effective management of type 2 diabetes complications is essential for reducing fracture risk, and a certain degree of obesity may confer a protective effect against fractures in individuals with type 2 diabetes.

Objective:To investigate the application of time series models in forecasting pre-hospital emergency ambulance trips in Handan City and develop the LPro ensemble model for improved prediction accuracy to support emergency resource allocation.Methods:Pre-hospital emergency data from Handan Emergency Medical Command Center (2019-2023) were retrospectively analyzed. From 324 799 original records, 289 949 valid records were included after cleaning. The training set (2019-2022: 215 918 records) included 35 527 records in 2019, 52 015 in 2020, 61 836 in 2021, and 66 540 in 2022. The validation set (2023) contained 74 031 records. ARIMA, linear trend seasonal, exponential smoothing, and Prophet models were fitted to the training set. The LPro ensemble model was constructed using MAPE-based weighting (linear trend seasonal model: 0.38, Prophet: 0.62). Performance metrics included MAPE, RMSE, MAE, and R 2. Results:Data showed annual growth (compound annual growth rate 23.27%) and seasonal patterns (October peaks, February troughs). Ambulance dispatches increased annually with monthly cyclical patterns. For 2023 validation predictions: ARIMA (MAPE 8.76%, RMSE 619, MAE 491, R 2 0.4563), linear trend seasonal (MAPE 9.83%, RMSE 671, MAE 545, R 2 0.3608), Prophet (MAPE 8.43%, RMSE 562, MAE 503, R 2 0.5513), exponential smoothing (MAPE 8.08%, RMSE 643, MAE 410, R 2 0.4124). LPro model showed superior performance (MAPE 7.05%, RMSE 491, MAE 393, R 2 0.6570), with 16.37% lower MAPE, 12.63% lower RMSE, 21.87% lower MAE, and 19.17% higher R 2 versus Prophet. Conclusion:The LPro ensemble model substantially enhances prediction accuracy and reliability, offering scientific support for emergency resource optimization and dispatch scheduling in Handan City.

Objective:It aims to systematically evaluate the current status of knowledge,attitude,and practice(KAP)regarding universal commercial medical insurance among residents of the sample province from the demand-side perspective.Methods:Utilizing a quota sampling method,face-to-face surveys were conducted via the Questionnaire Star platform to collect demographic characteristics and KAP data of the participants.Comparisons of differences among different groups were made using t-tests,analysis of variance,and chi-square tests.Furthermore,multiple linear regression and structural equation modeling were utilized to analyze the influencing factors of KAP,as well as the pathways among these three factors.Results:Out of the 415 valid questionnaires collected,there were notable differences in KAP among respondents with diverse demographic backgrounds.Regression analysis revealed that education level,frequency of health check-ups,and engagement in other commercial health insurances significantly influenced knowledge;education level,involvement in other commercial health insurances,and self-assessed health status were pivotal in shaping attitudes;whereas age,education level,frequency of health check-ups,and participation in other commercial health insurances were critical in affecting practice.The path analysis results indicate that knowledge of universal commercial medical insurance has a significant direct association with attitude(β=0.379,P＜0.001)and practice(β=0.323,P＜0.001).It also influences practice through attitude as a mediator(β=0.016,P＜0.001),but the direct effect of attitude on practice is not significant(β=0.04,P=0.403).Conclusion:While residents in the sample province exhibit a positive attitude towards universal commercial medical insurance,there is a need to enhance their level of knowledge and engagement in practice.It is recommended to strengthen targeted educational and promotional measures to promote the healthy and sustainable development of universal insurance.

Objective:It aims to systematically evaluate the current status of knowledge,attitude,and practice(KAP)regarding universal commercial medical insurance among residents of the sample province from the demand-side perspective.Methods:Utilizing a quota sampling method,face-to-face surveys were conducted via the Questionnaire Star platform to collect demographic characteristics and KAP data of the participants.Comparisons of differences among different groups were made using t-tests,analysis of variance,and chi-square tests.Furthermore,multiple linear regression and structural equation modeling were utilized to analyze the influencing factors of KAP,as well as the pathways among these three factors.Results:Out of the 415 valid questionnaires collected,there were notable differences in KAP among respondents with diverse demographic backgrounds.Regression analysis revealed that education level,frequency of health check-ups,and engagement in other commercial health insurances significantly influenced knowledge;education level,involvement in other commercial health insurances,and self-assessed health status were pivotal in shaping attitudes;whereas age,education level,frequency of health check-ups,and participation in other commercial health insurances were critical in affecting practice.The path analysis results indicate that knowledge of universal commercial medical insurance has a significant direct association with attitude(β=0.379,P＜0.001)and practice(β=0.323,P＜0.001).It also influences practice through attitude as a mediator(β=0.016,P＜0.001),but the direct effect of attitude on practice is not significant(β=0.04,P=0.403).Conclusion:While residents in the sample province exhibit a positive attitude towards universal commercial medical insurance,there is a need to enhance their level of knowledge and engagement in practice.It is recommended to strengthen targeted educational and promotional measures to promote the healthy and sustainable development of universal insurance.

Fragility fractures represent the final clinical manifestation of osteoporosis and are influenced by a range of risk factors. This article discusses the findings from two large-scale studies utilizing biobank and genomic data to investigate the relationships among obesity, type 2 diabetes and fracture risk, and to explore their implications for health management. The studies suggest that general obesity(defined by body mass index, BMI), central obesity(defined by waist circumference), and peripheral obesity exert different effects on fracture risk in older adults. Specifically, individuals who are overweight based on BMI have a lower fracture risk compared to those with normal weight, whereas an increased waist circumference is associated with a higher fracture risk. Moreover, genetic research indicates that genetically determined type 2 diabetes is not causally associated with increased fracture risk. In contrast, observational studies have reported a higher fracture risk in patients with type 2 diabetes; however, this association becomes non-significant after adjusting for diabetes-related risk factors. These findings highlight that maintaining a moderately elevated BMI may benefit bone formation in the elderly by providing mechanical loading to stimulate bone formation. Additionally, effective management of type 2 diabetes complications is essential for reducing fracture risk, and a certain degree of obesity may confer a protective effect against fractures in individuals with type 2 diabetes.

Background: Metabolic dysregulation is a hallmark of type 2 diabetes mellitus (T2DM), in which the abnormalities in brown adipose tissue (BAT) play important roles. However, the cellular composition and function of BAT as well as its pathological significance in diabetes remain incompletely understood. Our objective is to delineate the single-cell landscape of BAT-derived stromal vascular fraction (SVF) and their characteristic alterations in T2DM rats. Methods: T2DM was induced in rats by intraperitoneal injection of low-dose streptozotocin and high-fat diet feeding. Single-cell mRNA sequencing was then performed on BAT samples and compared to normal rats to characterize changes in T2DM rats. Subsequently, the importance of key cell subsets in T2DM was elucidated using various functional studies. Results: Almost all cell types in the BAT-derived SVF of T2DM rats exhibited enhanced inflammatory responses, increased angiogenesis, and disordered glucose and lipid metabolism. The multidirectional differentiation potential of adipose tissue-derived stem cells was also reduced. Moreover, macrophages played a pivotal role in intercellular crosstalk of BAT-derived SVF. A novel Rarres2+macrophage subset promoted the differentiation and metabolic function of brown adipocytes via adipose-immune crosstalk. Conclusion BAT SVF exhibited strong heterogeneity in cellular composition and function and contributed to T2DM as a significant inflammation source, in which a novel macrophage subset was identified that can promote brown adipocyte function.