To investigate the relationship between the intake of vegetables and fruits and the composition and diversity ofgut microbiota during the first trimester of pregnancy in Chengdu.

In total 104 early pregnant women in Chengdu were enrolled in this study. Dietary frequency questionnaire was used to collect the intake of vegetables and fruits. According to the median intake of vegetables and fruits, the early pregnant women were divided into high intake group and low intake group. The intestinal microflora of fecal samples of early pregnant women was detected by 16S rRNA highthroughput sequencing, and the differences of intestinal microflora between groups were compared. Multiple linear regression was used to explore the relationship between vegetable and fruit intake and intestinal flora in early pregnant women.

The median intake of vegetables and fruits in early pregnant women was 90.0 g/d and 200.0 g/d, respectively. There was no significant difference in intestinal microflora α and β diversity between high and low intake of vegetables and fruits in early pregnancy. LEfSe analysis showed that the relative abundance of multiple intestinal microflorae in early pregnant women was significantly different between the groups with high and low intake of vegetables and fruits. Multiple linear regression analysis showed that after adjusting age, pre-pregnancy body mass index, and energy intake, early pregnant women’s vegetable intake was directly proportional to the relative abundance of Eubacterium siraeum group (β=0.007, P=0.012), inversely proportional to the relative abundance of Bacteroides (β=-0.167, P=0.023), and fruit intake was proportional to the relative abundance of Ruminococcus gnavus group (β=0.004, P=0.034), inversely proportional to the relative abundance of Agathobacter (β=0.004, P=0.044).

The intake of vegetables and fruits in early pregnancy leads to the change of relative abundance of intestinal flora. This study provides a new scientific basis for dietary regulation of gut microbiota during pregnancy.

To investigate the utilization of outpatient and inpatient services in patients with pneumoconiosis and its influencing factors.

By using the convenient sampling method, 199 pneumoconiosis patients were selected from the West China Fourth Hospital, and their population characteristics, medical treatment-seeking behavior, and influencing factors were investigated by using the questionnaire on pneumoconiosis patients and its influencing factors compiled by CDC of China.Multivariate logistic regression model and multivariate poisons regression model were used to analyze the influencing factors of outpatient and inpatient service utilization.

The two-week outpatient rate of pneumoconiosis patients surveyed was 27.6%, the median number of outpatients used in one year was twice, and the annual hospitalization rate was 61.8%. For hospitalized patients, the median number of hospitalizations per year was 1, and the median cumulative hospitalization days was 30 days. The average visual health scale (VAS) score of patients was 48.3±17.4. Multivariate logistic regression and multivariate poisons regression analysis showed that pneumoconiosis patients with basic health insurance (OR=0.067, 95%CI: 0.006-0.716),higher frequency of medication (OR=0.100, 95%CI: 0.037-0.269), and lower VAS score (OR=0.992, 95%CI: 0.988-0.997) had less use of outpatient services. Pneumoconiosis patients with recent exacerbation of cough (OR=5.530, 95%CI: 2.446-12.501), work injury insurance (OR=1.183, 95%CI:1.015-1.379), and lower income (OR=0.980, 95%CI: 0.965-0.997) had more use of outpatient services. Pneumoconiosis patients who were married (OR=0.063, 95%CI: 0.005-0.771) and had lower VAS scores (OR=8.463, 95%CI: 3.090-23.248) had less use of inpatient services. Pneumoconiosis patients with higher frequency of medication (OR=8.463, 95%CI: 3.090-23.248), complicated with core pulmonale (OR=1.855, 95%CI: 1.307-2.634), pneumoconiosis compensation (OR=3.358, 95%CI: 1.183-9.529), social relief (OR=1.402, 95%CI: 1.047-1.877) and more active communication with patients (OR=2.158, 95%CI: 1.061-4.390) were likely to have more use of inpatient services.

The utilization rates of outpatients and inpatients with pneumoconiosis are higher than the national average. The health status, economic level, and social support level of patients with pneumoconiosis are important factors affecting their medical treatment behavior.

To explore the pollution characteristics and ecological risk of microplastics in Kundulun Reservoir in Baotou city.

Three environmental samples were collected from the surface water, sediment, and surrounding soil of Kundulun Reservoir. After four steps of digestion, density flotation, secondary digestion and concentration, the microplastics were extracted. The abundance, polymer type, particle size, and shape of microplastics were detected by LDIR8700 reflection model controlled by Clarity software, and the ecological risk was assessed by risk index (H) and pollution load index (PLI).

The average abundance of microplastics in surface water, sediment, and surrounding soil was (210.83±50.1) n/L,(9 633.33±1 955.33) n/kg, and (10 633.33±896.29) n/kg, respectively. In the surface water, the main type of microplastic polymer was polypropylene (PP), the microplastic with the particle size of 0 to 30 μm accounted for the largest proportion, and the shape was mainly in the form of film. In sediments, polybutylene succinate (PBS) was the main type of polymer, and the size of 0 to 30 μm and film-like microplastics were the main types. In the surrounding soil, the main type of polymer was PBS, and the particle size and shape of microplastics were the same as those in sediments. The risk index (H) based on the type of microplastic polymer showed that the microplastic H index of each sampling site ranged from 1.22 to 9 111.44, and the risk grade covered grades Ⅰ to Ⅳ. The risk grade in surface water was generally high, and the risk grade in sediment and surrounding soil was slightly lower. The PLI based on the pollution abundance of microplastics showed that the range of PLI index of microplastics in each sampling site was 1: 1.2733, and the average PLI index of microplastics was 1.0995, which showed slight pollution in the three environmental media.

The abundance of microplastics in the three environmental media of Kundulun Reservoir is high, with a wide range of sources and mainly small particle sizes. The overall risk index is relatively high, and the pollution load is low.

To explore the mutual predictive relationship between mobile social media Fear of Missing Out (FoMO) and Mobile Phone Addiction (MPA) among vocational college students, to provide scientific reference for the prevention and education of college students’ mobile phone addiction behavior.

With the use of cluster random sampling, 1 000 college students from a vocational college in Shenzhen were investigated by mobile social media FoMO scale and MPA scale in September 2021 (T1) and December 2021 (T2). The data were analyzed by cross-lag regression analysis.

There was a significant positive correlation including the synchronous correlation and the consecutive correlation between mobile social media FoMO and MPA (P<0.05). Mobile social media FoMO T1 positively predicted MPA T2 (β=0.25, P<0.001), whereas MPA T1 did not predict mobile social media FoMO T2 (β=-0.01, P=0.76). Three dimensions of mobile social media FoMO could predict MPA synchronously (P<0.05) and behavioral performance T1 could predict MPA T2 consecutively (P<0.05). Two dimensions of MPA,loss of control and avoidance, could predict mobile social media FoMO synchronously (P<0.05), and avoidance T1 could predict mobile social media FoMO T2 consecutively (P<0.05).

Vocational college students with higher FoMO are more likely to have MPA. There is a one-way predictive relationship between mobile social media FoMO and MPA.

To explore and compare the application value of post-stroke fatigue (PSF) risk prediction nomogram and Web calculator program in post-stroke fatigue risk prediction in convalescent stroke patients.

The patients with acute stroke admitted to the Department of Encephalopathy of a tertiary hospital from February 2023 to August 2023 were prospectively selected, and the nomogram and Web calculator program were used to predict the risk probability of PSF in convalescent stage. The area under the receiver operating characteristic curve (AUC), Hosmer-Lemeshow goodness-of-fit test, and clinical decision curve were used to evaluate the discrimination, calibration, and clinical utility of the two models, respectively.

A total of 282 patients were included, of which 128 had PSF, and the incidence of PSF was 46.89%. The AUC of the nomogram and Web calculator were 0.687 (95%CI:0.624-0.749) and 0.743 (95%CI: 0.683-0.803), respectively. The Hosmer-Lemeshow goodness-of-fit test showed that the nomogram (χ²=8.357, P=0.213) and Web calculator program (χ²=4.467, P=0.614) were well fitted in stroke patients. The clinical decision curve analysis showed that the nomogram and Web calculator program had clinical benefits in the range of threshold probability of 0.35-0.81 and 0.33-0.88, respectively.

The nomogram and Web calculator program can effectively predict the PSF risk of stroke convalescent patients, and the Web calculator program is superior to the nomogram. However, the future Web calculator program model still needs to be further updated to balance simplicity and accuracy, thereby improving its clinical applicability.

To explore the current situation and development trend of coupling coordination between medical and health resource allocation and service utilization in eastern, central, and western regions and provinces of China, and to provide suggestions for promoting the coordinated development of medical and health resource allocation and service utilization.

The related index data of medical and health resource allocation and service utilization from 2018 to 2022 were selected, and the comprehensive development level index and relative development degree were used to evaluate the medical and health resource allocation and service utilization. The coupled coordination degree model was used to analyze the coupling coordination relationship and development trend of the two systems.

There were significant differences in the comprehensive development level of medical and health resource allocation among provinces, and the overall structure of relative development degree in 2021 was “9-11-11”. From 2017 to 2021, the coupling coordination degree of medical and health resource allocation and service utilization decreased, showing a decreasing trend from east to west as a whole. The overall coordination between the allocation of medical and health resources and the utilization of services in China was poor. Only 12 provinces achieved coordinated development in 2021. Xizang was still in the dilemma of serious imbalance.

It is suggested to improve the accuracy of medical and health resources allocation, reduce the differences in the development level of resource allocation between provinces, and build a multi-party co-governance pattern. The improvement strategy of coordination level should be accurately formulated according to the relative development of medical and health resource allocation and service utilization in each province.

To analyze the mediating effect of sleep duration and sleep quality on physical activity level and cognitive function of elderly residents in rural areas of Chengdu.

By using the method of multi-stage random sampling, subjects over 60 years old were recruited in rural areas of Chengdu in October 2020. A total of 732 subjects were included in this study.A questionnaire survey was conducted by using the physical activity scale for the elderly and telephone interview questionnaire on cognitive status. Linear regression model was used to analyze the effect of physical activity level on cognitive function, and intermediary software package (mediation package) was used to explore the mediating effect of sleep duration and sleep quality.

Physical activity had a positive effect on cognitive function (β=0.004, P<0.0l), and there was a partial mediating effect of sleep duration in the relationship between physical activity and cognitive function in sleep duration (P<0.05). The mediating effect was 0.000 4, accounting for 7.74% of the total effect (0.004 1). There was a partial mediating effect of sleep quality between physical activity and cognitive function (P<0.01). The mediating effect was 0.000 9, accounting for 19.18% of the total effect (0.003 6).

In order to prevent and delay the decline of cognitive function, elderly rural residents should continue to participate in physical activities, and it is necessary to carry out intervention programs aimed at their sleep duration and sleep quality to promote the improvement of their cognitive function.

To construct a deep learning model based on multi-task learning to assist clinicians in differential diagnosis and staging of pneumoconiosis.

The digital chest radiographs of 3 600 patients from an occupational disease hospital in Sichuan Province from 2011 to 2022 were collected, and the full convolution neural network (UNet) was used to segment the lung field. Based on multi-task learning, the multi-task model was constructed using the correlation between tasks.The multi-task model was pre-trained on the ChestX-ray14 dataset, whose backbone network was DenseNet121, and two classifiers were added behind the backbone network. Paired t-test was used to compare the differences in accuracy, precision, sensitivity, and F1 scores between single-task model and multi-task model.

The test set results showed that the differential diagnosis and diagnostic staging performance of the single-task model was about 90% and 77%, respectively. The differential diagnosis and diagnosis staging performance of the multi-task model was about 94% and 86%, which was higher than that of the single-task model about 4% and 9%, respectively. The difference between the evaluation indexes was statistically significant (P < 0.05).

The multi-task model has more advantages than the single-task model and can effectively realize the differential diagnosis and accurate staging of pneumoconiosis and pulmonary tuberculosis.

To Chinesize the Nursing Home Care-related Quality of Life Scale (NHC-QoL) and to test its reliability and validity.

According to the Brislin model, the NHC-QoL scale was translated into Chinese and cross-cultural debugging was carried out. Using convenience sampling method, 198 elderly people from 4 nursing institutions in Shiyan city were investigated by questionnaire from March to July 2023 to evaluate the reliability and validity of the scale.

There were 14 items in the Chinese version of NHC-QoL. The content validity index of each item was 0.7-1.0, and the content validity index of the scale was 0.929. Exploratory factor analysis extracted 5 common factors, which could explain 67.914% of the total variation.After discussion within the research group, the common factors were reduced to 2 common factors namely environment and service (11 items) and social interaction (3 items). The total Cronbach’s α coefficient of the scale was 0.758 and the test-retest reliability was 0.783.

The Chinese version of NHC-QoL scale has good reliability and validity and can be used to evaluate the quality of life of the elderly in nursing institutions.