Objective To assess the causality between 14 malignant tumors and hypertension.Methods Publicly available datasets from genome-wide association study were used,from which independent genetic variants strongly associated with hypertension and 14 malignant tumors were extracted as instrumental variables for bidirectional Mendelian randomization(MR)analysis,including random effect inverse variance weighted(IVW),simple mode,weighted median,weighted mode and MR-Egger to evaluate the causal effect.Sensitivity analysis was used to test the validity and robustness of the analytical results,and multivariate MR method was used to further control for the effects of confounding factors.Results In the MR analysis of malignant melanoma and hypertension,the study included a total of 11 single nucleotide polymorphisms(SNPs)strongly associated with malignant melanoma.After Bonferroni correction,the IVW-based results showed a causal relationship between malignant melanoma and hypertension(OR=1.67,95％CI:1.27-2.21,P＜0.001).Cochran's Q test,Mendelian randomization pleiotropy residual sum and outlier test and MR-Egger intercept test showed that there were no outliers and no horizontal pleiotropy among the instrumental variables,and the sensitivity analysis of the leave-one-out method showed that there was no single SNP that had a significant impact on the overall results.In the analysis of hypertension and leukemia,the preliminary analysis results showed that there may be a relationship between the two,but after adjusting for confounders,the effect of hypertension on the risk of leukemia was no longer significant.Conclusion Malignant melanoma may be a risk factor in the development of hypertension.

Objective: To systematically evaluate the influencing factors for medication compliance in patients with comorbidities of chronic diseases, so as to provide the evidence for improving medication compliance. Methods: Literature on influencing factors for medication compliance in patients with comorbidities of chronic diseases were retrived from CNKI, Wanfang Data, VIP, SinoMed, PubMed, Web of Science, Cochrane Library and Embase from inception to January 20, 2024. After independent literature screening, data extraction, and quality assessment by two researchers, a meta-analysis was performed using RevMan 5.4 and Stata 16.0 softwares. Literature were excluded one by one for sensitivity analysis. Publication bias was assessed using Egger's test. Results: Initially, 7 365 relevant articles were retrieved, and 35 of them were finally included, with a total sample size of about 150 000 individuals. There were 30 cross-sectional studies and 5 cohort studies; and 11 high-quality studies and 24 medium-quality studies. The meta-analysis showed that the demographic factors of lower level of education (OR=2.148, 95%CI: 1.711-2.696), lower economic income (OR=1.897, 95%CI: 1.589-2.264), male (OR=0.877, 95%CI: 0.782-0.985), living alone (OR=2.833, 95%CI: 1.756-4.569) and unmarried (OR=2.784, 95%CI: 1.251-6.196); the medication treatment factors of polypharmacy (OR=1.794, 95%CI: 1.190-2.706), potentially inappropriate medication (OR=2.988, 95%CI: 1.527-5.847), low frequency of daily medication (OR=0.533, 95%CI: 0.376-0.754) and adverse drug reactions (OR=3.319, 95%CI: 1.967-5.602); the disease factors of long course of disease (OR=2.118, 95%CI: 1.643-2.730), more comorbidities (OR=1.667, 95%CI: 1.143-2.431) and cognitive impairment (OR=2.007, 95%CI: 1.401-2.874); and the psychosocial factors of poor belief in taking medication (OR=1.251, 95%CI: 1.011-1.547), poor self-rated health (OR=1.990, 95%CI: 1.571-2.522) and being guided by healthcare professionals (OR=0.151, 95%CI: 0.062-0.368) were the influencing factors for medication compliance in patients with chronic comorbidities. Conclusion The medication compliance in patients with comorbidities of chronic diseases is associated with demographic factors, pharmacological factors, disease factors and psychosocial factors, mainly including living alone, adverse drug reactions, course of disease, number of comorbidities and medication beliefs.

Objective: To examine the association between sleep and frailty using the bidirectional two-sample Mendelian randomization (MR) approach, so as to provide the basis for the prevention and intervention of frailty. Methods: The data on single nucleotide polymorphisms (SNP) related to sleep duration, insomnia and morning chronotype were collected from genome-wide association studies (GWAS) and meta-analysis of GWAS, involving 446 118, 1 331 010 and 697 828 participants, respectively. The frailty was evaluated using the frailty index, and the relevant SNP data were collected from a meta-analysis of GWAS involving 175 226 participants. A bidirectional MR analysis was performed using the inverse-variance weighted method. Sensitivity analyses employed the weighted median method, the maximum likelihood-based method, the MR-Egger regression, and the MR-PRESSO test. Results: Forward MR analysis showed that longer sleep duration (β=-0.170, 95%CI: -0.255 to -0.085) and morning chronotype (β=-0.036, 95%CI: -0.058 to -0.014) decreased the risk of frailty, while insomnia increased the risk of frailty (β=0.167, 95%CI: 0.149-0.184). Reverse MR analysis showed that frailty increased the risk of insomnia (OR=1.645, 95%CI: 1.278-2.117). Both bidirectional MR results were robust, which excluded the impact of heterogeneity and horizontal pleiotropy. Conclusion Sleep duration, insomnia, and morning chronotype are associated with frailty.

Objective:To investigate the differences and applicability of free silica detection methods of different crystal forms in dust, and to provide a basis for the selection of various methods.Methods:From December 2021 to June 2022, dust samples from 20 enterprises in different industries in 18 cities in Henan Province were randomly selected as the investigation objects. X-ray diffraction (XRD) method was used to analyze the samples and classify the samples. Based on GBZ/T 192.4-2007 "Determination of Dust in the Air of Workplace-Part 4: Content of Free Silica in Dust", pyrophosphate method and infrared spectrophotometry were used for quantitative determination. The measured results were analyzed by paired sample t test to evaluate the advantages and disadvantages of the two methods and their applicable scope. Results:The XRD results of 20 dust samples could be divided into α, β, γ crystal types and the mixed type of α and γ. There was no significant difference between pyrophosphate method and infrared spectrophotometry ( P=0.180). The pyrophosphate method results of β, γ and α, γ mixed crystalline free silica were significantly higher than those of infrared spectrophotometry, and the difference was statistically significant ( P<0.001) . Conclusion:Pyrophosphate method and infrared spectrophotometry are suitable for α-type free silica, while pyrophosphate method is suitable for β, γ and α, γ mixed crystalline free silica.

Objective:To investigate the differences and applicability of free silica detection methods of different crystal forms in dust, and to provide a basis for the selection of various methods.Methods:From December 2021 to June 2022, dust samples from 20 enterprises in different industries in 18 cities in Henan Province were randomly selected as the investigation objects. X-ray diffraction (XRD) method was used to analyze the samples and classify the samples. Based on GBZ/T 192.4-2007 "Determination of Dust in the Air of Workplace-Part 4: Content of Free Silica in Dust", pyrophosphate method and infrared spectrophotometry were used for quantitative determination. The measured results were analyzed by paired sample t test to evaluate the advantages and disadvantages of the two methods and their applicable scope. Results:The XRD results of 20 dust samples could be divided into α, β, γ crystal types and the mixed type of α and γ. There was no significant difference between pyrophosphate method and infrared spectrophotometry ( P=0.180). The pyrophosphate method results of β, γ and α, γ mixed crystalline free silica were significantly higher than those of infrared spectrophotometry, and the difference was statistically significant ( P<0.001) . Conclusion:Pyrophosphate method and infrared spectrophotometry are suitable for α-type free silica, while pyrophosphate method is suitable for β, γ and α, γ mixed crystalline free silica.

Objective: To conduct a scoping review on prognostic prediction models for patients with comorbidity of chronic diseases, and understand modeling methods, predictive factors and predictive effect of the models, so as to provide the reference for prognostic evaluation on patients with comorbidity of chronic diseases. Methods: Literature on prognostic prediction models for patients with comorbidity of chronic diseases was collected through SinoMed, CNKI, Wanfang Data, VIP, PubMed, Embase, Cochrane Library and Web of Science published from the time of their establishment to November 1, 2023. The quality of literature was assessed using prediction model risk of bias assessment tool (PROBAST), then modeling methods, predictive factors and predictive effects were reviewed. Results: Totally 2 130 publications were retrieved, and nine publications were finally enrolled, with an overall high risk of bias. Thirteen models were involved, with three established using machine learning methods and ten established using logistic regression. The prediction results of four models were death, with main predictive factors being age, gender, body mass index (BMI), Barthel index and pressure ulcers; the prediction results of nine models were rehospitalization, with main predictive factors being age, BMI, hospitalization frequency, duration of hospital stay and hospitalization costs. Eleven models reported the area under the receiver operating characteristic curve (AUC), ranging from 0.663 to 0.991 6; two models reported the C-index, ranging from 0.64 to 0.70. Eight models performed internal validation, one model performed external validation, and four models did not reported verification methods. Conclusions The prognostic prediction models for patients with comorbidity of chronic diseases are established by logistic regression and machine learning methods with common nursing evaluation indicators, and perform well. Laboratory indicators should be considered to add in the models to further improve the predictive effects.

Objective:To summarize the best evidence of medication adherence interventions for patients with multiple chronic conditions.Methods:According to the "6S" evidence model, literature on medication adherence in patients with multiple chronic conditions was retrieved from BMJ Best Clinical Practice, UpToDate, Medlive, National Institute for Health and Clinical Excellence, Cochrane Library, Embase, PubMed, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, WanFang data and so on. The search period was from establishing the database to August 30, 2023.Results:A total of 16 articles were included, including three guidelines, four expert consensus, seven systematic reviews, and two meta-analyses. Twenty-seven pieces of evidence were summarized from six aspects of compliance assessment, educational intervention, behavioral intervention, optimized treatment program, technical reminder intervention, and social-psychological-emotional intervention.Conclusions:The best evidence of medication adherence interventions for patients with multiple chronic conditions summarized provides a reference for medical and nursing staff to develop medication adherence interventions.

Objective:To analyze the horizontal scientific research projects from 2015 to 2019 by the provincial Centers for Disease Control and Prevention (CDC) in China, and to compare the regional differences, in order to provide the suggestion on the scientific management of CDC.Methods:The horizontal scientific research projects from 2015 to 2019 were retrospectively analyzed by questionnaire survey. Multiple linear regression models were adopted to examine the trend, and variance analyses were used to test the differences in horizontal scientific research projects among the Eastern, Central, and Western regions.Results:From 2015 to 2019, provincial CDC have received RMB 124.3 million of horizontal scientific research project funds totally, of which 51.9% were funded by enterprises, and 86.9% were undertaken by provincial CDC themselves. There were no statistical significance in the change of research project funds obtained by provincial CDC ( F=0.46, P = 0.764) during this period.The number of horizontal scientific research projects undertook or participated by provincial CDC in the Eastern region were more than that of the Central and Western region ( F = 5.85, P = 0.004; F = 5.03, P = 0.008). Conclusions:The horizontal scientific research projects obtained by the provincial CDC remained stable in recent years while distribution was unbalanced in the region areas. It is suggested to innovate the management mode of scientific research projects with strengthening the trans-agency, trans-department and trans-regional cooperation.

【Objective】 To analyze the changes of gut microbes in patients with postpartum depression so as to explore the relationship between postpartum depression and gut microbes. 【Methods】 A total of 60 postpartum subjects were recruited to participate in this study. The depression status of the participants was scored using the Edinburgh Postpartum Depression Scale (EPDS). Those with a score ≥13 were included in the postpartum depression group (PPD group), while those with a score less than 13 were included in the postpartum healthy control group (PPHC group). The feces of these 60 subjects were collected, and the fecal whole genome DNA was extracted for 16S rDNA sequencing. The data of changes in the bacterial diversity between the groups were obtained, and the possible correlation between the changes of intestinal microbes and postpartum depression was analyzed. 【Results】 The number of microorganisms in PPD patients was significantly reduced (P<0.001); the Chao1 index (P<0.001) and ACE index (P<0.001) of α diversity decreased significantly. There were also significant differences in β diversity between the two groups. Analysis of the bacteria in the groups showed that Acetanaerobacterium, Adlercreutzia, Allobaculum, Alloprevotella, Bifidobacterium, Christensenella, Escherichia, Eubacterium, Faecalicatena, Fusobacterium, Haemophilus, Intestinimonas, Lactobacillus, Megamonas, Monoglobumus, Muribaculum, Oscillospira, Paraprevotella, Streptococcus, Raoultibacter, Ruminococcus and Stomatobaculum were significantly enriched in PPHC group. In contrast, Kineothrix, Lachnoclostridium, Acinetobacter, Aquisphaera, Enterococcus, and Mucispirillum were enriched in PPD group. RDA/CCA analysis showed that EPDS was positively correlated with Prevotella, Kineothrix, and Alistipes, but negatively correlated with Lachnospira. 【Conclusion】 This study found that the intestinal flora of patients with postpartum depression was significantly disrupted, and there was a correlation between the intestinal flora and postpartum depression symptom score. Therefore, intestinal microbial markers may contribute to the diagnosis and treatment of patients with postpartum depression.

Objective:To explore the effect of nursing intervention based on leadership life cycle theory in patients with swallowing dysfunction after acoustic neuroma surgery.Methods:From February 2017 to March 2020, 100 patients with swallowing dysfunction after acoustic neuroma surgery in our hospital were selected as the research object. According to a random number table, a randomized controlled study was used to divide all patients into an observation group and a control group, 50 cases in each group. Patients in the control group received routine postoperative rehabilitation nursing, and the observation group adopted nursing intervention based on the leadership life cycle theory. After the intervention, the Water swallow test was used to evaluate the recovery of swallowing dysfunction in the two groups. A swallowing dysfunction rehabilitation training compliance questionnaire was used to evaluate rehabilitation compliance. The Swallowing Quality of Life scale (SWAL-QOL) was used to evaluate the quality of life of patients. At the same time the occurrence of aspiration pneumonia was recorded.Results:After the intervention, the result of drinking water test rating was better in the observation group compared the control group, the difference was statistically significant ( Uc=2.053, P <0.05). The participation in compliance, monitoring compliance and learning compliance scores were 16.94±2.46, 6.96±1.24, 5.66±2.11 in the observation group, significantly higher than in the control group (12.36±2.59, 4.80±1.20, 4.48±1.49), the difference was statistically significant ( t value was 9.058, 8.851, 3.236, P <0.05). After a one-month follow-up, the scores of psychological burden, eating time, appetite, swallowing symptom frequency, food choice, language communication, eating fear, mental health, social interaction, fatigue sleep were 8.06±1.39, 7.14±1.76, 10.92±1.79, 58.26±6.41, 6.38±1.81, 7.00±1.07, 15.82±2.41, 21.86±1.81, 16.80±1.81, 18.96±3.24, significantly higher than those of the control gorup (6.76±2.17, 4.80±1.83, 7.84±1.74, 37.30±5.07, 3.72±1.23, 4.98±1.33,12.06±2.97, 16.96±1.67, 11.00±1.76, 1.84±3.05), the differences were statistically significant ( t value was 6.945-18.142, P <0.05). The incidence of aspiration pneumonia in the observation group were 6.00% (3/50), lower than that in the control group 20.00% (10/50), the difference was statistically significant ( χ2 value was 4.332, P<0.05). Conclusions:Nursing intervention based on the leadership life cycle theory is beneficial to promote the recovery of swallowing dysfunction in patients with swallowing dysfunction after acoustic neuroma surgery, improve the compliance of rehabilitation training, improve the quality of life of patients, and reduce the occurrence of aspiration pneumonia.