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Background The control rate for patients with hypertension remains suboptimal, with hypertensive patients experiencing a lower quality of life compared to healthy individuals. Enhancing life quality and lowering blood pressure in patients with hypertension through behavioral interventions is currently a critical area of research. Theoretical-based behavioral interventions are shown to be more effective and sustainable in modifying the behaviors of hypertensive patients. The Behavior Change Wheel (BCW) and Behavior Change Techniques (BCTs) are widely utilized in the management of chronic diseases globally to maximize the exploration of modifiable factors. Nevertheless, in the domestic context, studies on the impact of BCW and BCTs-driven behavioral interventions on the ambulatory blood pressure and quality of life of hypertensive patients are relatively limited, indicating a need for more comprehensive research. Objective This study aims to develop and evaluate the intervention based on BCW and BCTs, focusing on its impact on behavior, ambulatory blood pressure, and quality of life in hypertensive patients. Methods From December 2021 to August 2022, a hundred hypertensive patients who met the inclusion criteria were selected as study participants. They were allocated into an intervention group and a control group using a simple randomization method, with each group comprising fifty participants. Patients in the control group received conventional outpatient medication and health education lifestyle guidance. In contrast, patients in the intervention group was treated with standard medication supplemented by the BCW and BCTs-based intervention guidance.Before and after the intervention, assessments were conducted using the Hypertension Knowledge-Level Scale, the Chinese Version of the 8-item Morisky Medication Adherence Scale, the International Physical Activity Questionnaire-Short, the Patient Health Questionnaire-9, the General Anxiety Disorder-7, ambulatory blood pressure monitoring, and the 12-Item Short-Form Health Survey. The study examined changes in behavioral indicators, results of ambulatory blood pressure monitoring, and quality of life pre- and post-intervention. Results The results indicated that after the intervention, the intervention group exhibited significantly higher levels of hypertension knowledge, medication adherence, quality of life scores, proportions of high medication adherence and engagement in moderate physical activity compared to the control group (P

Background The urban community health service centers in China have developed for nearly 20 years, but there is a lack of systematic research on their development, progress made, and existing problems. Objective To propose suggestions for the high-quality development of urban community health services centers in China by analyzing their development situation. Methods In October 2022, 50 community health service centers were selected from 13 provinces in the eastern, central and western regions by convenience sampling method. A self-developed research questionnaire based on the key core indicators for the assessment of urban community health services centers included two parts of basic data and evaluation content. Basic data included jurisdictional area, number of employees, number of outpatient visits, etc; the evaluation content included 4 gradeⅠindicators (institutional configuration, service function, service mode, and service support), 13 GradeⅡindicators and 33 GradeⅢindicators. The data of year 2006 (or the first year of the hospital's establishment and data) and 2021 were compared, and the survey results were reported in through "sojump". Results (1) Basic data: the number of community health service centers established before 2006 were 24 (accounting for 48.00%), and 26 after 2006 (accounting for 52.00%) ; comparing the year of 2006 or the first year of establishment, and the year of 2021, the number of employees was 67.00 (40.00, 101.00) and 94.00 (62.00, 162.00) respectively; the number of outpatient visits was 39 324.00 (22 620.00, 118 384.00) and 106 259.00 (44 999.00, 225 851.00) respectively; the total score of the questionnaire was 36.50 (28.13, 46.00) and 69.00 (56.38, 76.00), respectively. (2) The median scores of Grade I indicators institutional configuration, service mode and service function in 2021 were all higher than those in 2006 or the first year of establishment. The relative scoring rate of Grade I indicators in 2021, institutional configuration was 77.27% (25.50/33.00), service mode was 61.84% (23.50/38.00), service function was 76.92% (10.00/13.00), service support was 47.37% (9.00/19.00). The median score of structure area in the institutional configuration indicators was 0; among the service function indicators, the relative scoring rate of the diagnosis and treatment of common and chronic diseases in the community, and the inpatient service content were all 100.00%; the relative scoring rate of inpatient bed utilization rate was 25.00% (1.00/4.00). (3) Score of GradeⅡ、Ⅲ evaluation indicators of service function, service mode, and service support: The median score of public health items in service function increased from 2.00 points in 2006 or the first year of establishment to 9.50 points in 2021. The differences were statistically significant (P

Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P

Background Clinical practice guidelines in primary care are important tools to guide primary care practice, but they are found with relatively low quality and unstandardized reporting on the whole. Objective To develop the reporting guideline for clinical practice guidelines in primary care based on the Reporting Items for practice Guidelines in HealThcare (RIGHT) . Methods According to the reporting methods recommended by EQUATOR Network, an item development group and an expert consensus group were established to develop reporting guideline for clinical practice guidelines in primary care. Content analysis, brainstorming, and topic analysis were used in developing the initial items. The Delphi survey was conducted to determine the final items. Results Thirteen items (five were modified and eight were added) were developed initially, covering five domains: guideline title, health issues, intended setting, recommendations and suggestions for future research. Then the initial item checklist was revised to a final version consisting of 15 items according to the results of two rounds of Delphi survey (with 100% response rates from 22 experts) conducted from December 2 to December 26, 2022. Conclusion This reporting checklist will provide a detailed guide for developers of guidelines in primary care, which will further improve the reporting quality of guidelines in primary care, especially that of those in China.

Women of African ancestry have lower incidence of epithelial ovarian cancer (EOC) yet worse survival compared to women of European ancestry. We conducted a genome-wide association study in African ancestry women with 755 EOC cases, including 537 high-grade serous ovarian carcinomas (HGSOC) and 1,235 controls. We identified four novel loci with suggestive evidence of association with EOC (p

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Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little is known about genetic risk factors for MM in individuals of AA. We performed a meta-analysis of 2 GWASs of MM in 1813 cases and 8871 controls and conducted an admixture mapping scan to identify risk alleles. We fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. In GWAS meta-analysis, we identified 2 suggestive novel loci located at 9p24.3 and 9p13.1 at P < 1 × 10-6; however, no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. Of the 23 known EA risk variants, 20 showed directional consistency, and 9 replicated at P < .05 in AA individuals. In 8 regions, we identified markers that better capture MM risk in persons with AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95% confidence interval, 1.56-2.11) increased MM risk compared with those with average risk (25%-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P = 5.1 × 10-12). Our study shows that common genetic variation contributes to MM risk in individuals with AA.

The profile flow around the wind turbine airfoil has a significant impact on the overall performance and the noise of a wind turbine. In this paper, a combination method of large eddy simulation (LES) and the solution of Ffowcs Williams and Hawkings (FW-H) equation is used to obtain the unsteady flow field and the far-field aeroacoustic noise of a wind turbine airfoil. The dominant modes of the unsteady vorticity at the angle of attack of 8° are extracted by the proper orthogonal decomposition (POD). The modal structure of the dominant modes indicates that the trailing edge vortices and the laminar separation bubble are the main unsteady feature of the airfoil flow. The modal structures most related to the far-field aeracoustics noise are obtained by the extend proper orthogonal decomposition (EPOD). The modal results show that the vortices in the boundary layer and the large-scale vortices in the wake are most relevant to the generation and propagation of the aeracoustics noise.

Impulsive blind deconvolution (IBD) is a popular method to recover impulsive sources for bearing fault diagnosis. Its underpinnings are in the design of objective functions based on prior knowledge of impulsive sources and a transfer function to describe transmission path influences. However, popular objective functions cannot retain waveform impulsiveness and periodicity cyclostationarity simultaneously, and the single convolution operation of IBD methods is insufficient to describe transmission paths composed of multiple linear and nonlinear units. Inspired by the MaxPooling period modulation intensity (MPMI) and convolutional sparse learning (CSL), an adaptive multi-D-norm-driven sparse unfolding deconvolution network (AMD-SUDN) is proposed in this paper. The core strategy is that one target vector with simultaneous impulsiveness and cyclostationarity is constructed automatically through the MPMI; then, this vector is substituted into the multi D-norm to design objective functions. Moreover, an iterative soft threshold algorithm (ISTA) for the CSL model is derived, and its iterative steps are unfolded into one deconvolution network. The algorithm's performance and the hyperparameter configuration are investigated by a set of numerical simulations. Finally, the proposed AMD-SUDN is applied to detect the impulsive features of bearing faults. All comparative results verify that the proposed AMD-SUDN achieves a better deconvolution accuracy than state-of-the-art IBD methods. [ABSTRACT FROM AUTHOR]