To understand the current situation and influencing factors of the demand for children under three in Chongqing, and to provide a reference for improving the children nursery service system of children under three.

A multi-stage stratified random sampling survey was conducted on the children nursery need of children under three in Chongqing, and the multi-categorical logistic regression was used to comprehensively analyze the influencing factors of children nursery need.

A total of 11 727 families with children under three were surveyed, and the demand for childcare was 53.4%，the age of those who had been enrolled in childcare was mainly at the age of 24-36 months, and the average monthly childcare cost was 2 351.8 yuan, mainly in private childcare institutions. The childcare expectation of families without childcare demand was concentrated in 24-36 months, and the average acceptable monthly childcare cost was 1 607.4 yuan, favoring public childcare institutions. The results of multi-categorical regression analysis showed that parental status (father OR=0.594, 95%CI:0.522-0.676), age (OR=1.012, 95%CI:1.002-1.021), urban and rural (urban OR=1.670, 95%CI:1.490-1.871), education level (university degree or below OR=0.682, 95%CI:0.499-0.931), occupation (government agencies or institutions OR=0.814, 95%CI:0.665-0.996), per capita monthly household income (<4 000 yuan OR=0.857, 95%CI:0.737-0.995), number of families living together (OR=0.915, 95%CI:0.874-0.957), 0-3 years old children (<24 months old OR=0.806, 95%CI:0.714-0.908) were important influencing factors for the childcare needs of children under three.

Chongqing’s childcare needs have not been met, and families should be called upon to optimize the division of responsibilities between parents in childcare. The government should strengthen the training of grandparents in caring skills, improve the ability of family care, increase the supply of inclusive childcare services through multiple channels and reduce the cost of childcare.

To explore the association between metabolic score of insulin resistance (METS-IR) and the risk of Cardiometabolic multimorbidity (CMM) in middle-aged and elderly Chinese.

A population-based cohort study was conducted using data from the China Longitudinal Study of Health and Aging (CHARLS) among Chinese residents aged 45 years or older from 2011 to 2018. Cox proportional hazards regression models were used to calculate Hazard Ratio (HR) and 95% confidence intervals (CI) for the association between METS-IR and new CMM, and stratified analyses were performed in different populations to observe the interaction between covariates and METS-IR. The dose-response relationship between METS-IR and new CMM in different body weight population was observed with restricted cubic spline. Receiver operating characteristic (ROC) curve was constructed to analyze the value of METS-IR in predicting the risk of CMM.

A total of 5 349 subjects were included in this study, and the incidence of CMM was 2.08%. After adjusting for all included covariates, METS-IR as a continuous variable was positively correlated with the risk of CMM (HR: 1.07, 95%CI: 1.05-1.09, P<0.001). As a categorical variable, the highest METS-IR group was still positively associated with the risk of CMM (HR: 3.47, 95%CI: 2.06-5.84, P<0.001). In total participants (P for overall <0.001), normal weight (P for overall = 0.022) and overweight and obese (P for overall = 0.008) populations still had a linear relationship between MET-IR and CMM risk. METS-IR was predictive of CMM risk (AUC: 0.651, 95%CI: 0.598-0.704).

The study finds that METS-IR is positively associated with an increased risk of new CMM in middle-aged and older adults and should be of continued concern in both normal weight and overweight obese people to reduce the risk of CMM.

To study the relationship between the cardiometabolic index (CMI) and hyperuricemia (HUA) in Guizhou minorities.

Based on the "China Multi-ethnic Cohort Study", 16 630 Miao, Dong and Bouyei population aged 30 to 79 years were included in the study. Logistic regression model was used to analyze the association between CMI and HUA, restricted cubic spline was used to analyze the dose-response relationship between CMI and HUA, and ROC curve was used to analyze the predictive value of CMI for HUA.

The overall detection rate of HUA was 22.8%, and those of Miao, Dong and Bouyei nationalities were 24.4%, 25.2% and 18.5%, respectively. In the total population, Miao, Dong and Bouyei populations, after adjusting for covariates, compared with Q1, the ORs for HUA were 4.39 (95%CI: 3.76-5.12), 3.96 (95%CI: 3.03-5.18), 4.28 (95%CI: 3.36-5.46), and 5.55 (95%CI: 4.08-7.54) in CMI Q4 group, respectively. There was a non-linear dose-response relationship between CMI and risk of HUA (P for nonlinear < 0.001). ROC curve analysis showed that, the area under the curve (the best cut-off value, sensitivity and specificity) of CMI for predicting the risk of HUA in the total population, Miao, Dong and Bouyei populations were 0.742 (0.641, 68.3%,68.8%), 0.724 (0.651, 63.8%, 70.8%) 0.741 (0.654, 68.5%, 68.1%), 0.775 (0.555, 68.8%, 73.0%).

CMI is associated with the increased risk of HUA in different ethnic populations, and can be used as an indicator for predicting HUA in ethnic minority populations in Guizhou province.

To construct a symptom network for patients with hypertensive cerebral hemorrhage in the acute phase, and to explore the core symptom clusters to provide reference for healthcare professionals to carry out individualized and precise symptom management.

From December 2022 to January 2024, 423 hypertensive cerebral hemorrhage patients hospitalized in the neurosurgery departments of three tertiary-level A hospitals in Hebei Province were conveniently selected for the study. General information questionnaire, Chinese version of Memory Symptom Assessment Scale, National Institutes of Health Stroke Scale, and Stroke Specific Quality of Life Scale were used to collect data. Symptom clusters were analyzed by exploratory factor analysis, symptom networks were constructed in R language to analyze the centrality indexes, and the symptom clusters that had the greatest impact on patients’ quality of life were clarified through stratified regression to determine the core symptom clusters.

The most common symptoms in patients with hypertensive cerebral hemorrhage were pain (83.5 %), worry (80.6%), nausea (75.7%), and the most severe symptom was pain (2.29±0.05), followed by nausea (1.93±0.06) and worry (1.72±0.06). Exploratory factor analysis identified five symptom clusters, namely, sickness symptom cluster, dysfunction symptom cluster, mental-emotional symptom cluster, respiratory symptom cluster, and gastrointestinal symptom cluster, with a cumulative variance contribution of 61.832%. The symptom with the highest expected impact value in the symptom network was pain (r_s=1.17). Stratified regression analyses showed that the cluster of sickness symptoms had the greatest impact on quality of life (β=-4.677，95%CI：-5.224 - -4.131，P<0.001), explaining 46.5% of the model.

The symptom cluster is the core symptom cluster in the acute phase of hypertensive cerebral hemorrhage patients, based on which healthcare professionals can take appropriate interventions to carry out symptom management and further improve the efficiency of symptom management.

To analyze the mediating effect of depressive symptoms between unhealthy lifestyle and body mass index (BMI), and to provide a reference basis for the prevention of common diseases among adolescents.

In 2023, 88, 594 students were selected by random stratified, class-based cluster sampling method from 12 municipalities in Inner Mongolia (103 counties) for questionnaire survey, to describe the basic demographic characteristics of the students, to explore the correlation between unhealthy lifestyle, depressive symptoms and BMI, and to establish the mediation effect model by using the PROCESS macro program in SPSS 26.0.

The number of detections of unhealthy lifestyle was 85 866, with a detection rate of 96.92 percent; the number of detections of abnormal BMI was 32 078, with a detection rate of 36.21 per cent; and the number of detections of depressive symptoms was 19, 356, with a detection rate of 21.85 per cent. The results showed that the mediating effect value of depressive symptoms on unhealthy lifestyle and body mass index was 0.0770, 95%CI: 0.0513-0.1027, and the mediating effect accounted for 11.35% of the total effect, which indicated that unhealthy lifestyle could mediate the increase of BMI through depressive symptoms.

Adolescents can prevent abnormal body mass index by improving unhealthy lifestyles, and they can also improve the occurrence of depressive symptoms and thus maintain a normal body mass index.

To investigate the quality of statistical reporting in publications from general medical journals and analyze the influencing factors.

A random sample of 480 original research articles published in 2010 and 2020 was selected from two Medline journals and six Chinese core journals in the field of medicine and health. The quality of statistical reporting was evaluated using a self-developed checklist based on the SAMPL guidelines, ICMJE recommendations, CONSORT, STROBE, and other relevant standards, followed by an analysis of influencing factors.

The overall quality score for statistical reporting in the surveyed general medical journals was 40.0±8.6. The scores for different statistical aspects were as follows: statistical design (43.2±6.8), statistical description (67.0±24.3), t-test (23.6±17.5), ANOVA (26.8±17.2), chi-square test (24.2±13.7), rank-sum test (45.5±18.4), correlation analysis (41.9±13.2), regression analysis (40.5±14.8), and survival analysis (45.6±14.9). Univariate analysis indicated that the overall quality score for statistical reporting in articles published in 2020 was higher than that in 2010 (35.8±7.4 vs. 44.3±7.5, t=-12.510, P<0.001). Multilevel modeling showed that the indexing system, research field, and publication year were the main factors influencing the overall score. Compared to Medline-indexed journals, the overall scores were lower for Chinese core journals. Articles focusing on non-human subjects had lower scores compared to those involving human subjects. Additionally, the overall scores for articles published in 2020 were higher than those in 2010.

The quality of statistical reporting in general medical journals in China has improved over the past decade, but there remains substantial room for further improvement. It is recommended to enhance the promotion of relevant reporting standards.

To investigate the influence of social support, self-efficacy and coping style on job burnout of telecommunication employees, and to provide practical guidance for reducing job burnout of telecommunication employees.

This study used stratified random sampling to conduct a questionnaire survey among 8073 telecommunication employees, using Social Support Scale, Coping Style Scale, General Self-Efficacy Scale and Job Burnout Scale. Pearson correlation analysis and SPSS PROCESS model 6 were used to construct a chain mediating effect model to study the mediating path of social support on job burnout of telecommunication employees.

Self-efficacy and coping style had a significant mediating effect on social support and job burnout, and the effect sizes were -0.072 (95%CI: -0.08--0.608) and -0.204 (95%CI: -0.221--0.189), respectively. Self-efficacy and coping style played a significant chain mediating role in the effect of social support on job burnout of telecommunication employees, and the effect size was -0.034 (95%CI: -0.039 - -0.029).

Social support, self-efficacy and coping style are important factors affecting job burnout of telecommunication employees. Self-efficacy and coping style play a chain mediating role between social support and job burnout. The results of this study suggest that increasing social support for telecommunication employees, promoting them to form positive coping styles and improving their self-efficacy are important ways to alleviate their job burnout.

To explore the effects of social support and resilience on bullied secondary school students and non-suicidal self-injury, and analyze the association between social support and resilience, so as to provide reference for preventing school bullying. Method In March 2023, three middle schools in Jiangxi Province were used as site sites to investigate the current situation using self-made general situation questionnaire, Olweus Bully questionnaire, social support scale for adolescents，cognitive emotion regulation questionnaire (CERQ), Ottwa self-injury inventory questionnaire (OSI). To explore the role of social support and resilience in the chain mediation between bullying victimization and non-suicidal self-injury.

The report rate of bullying victimization was 18.56%, and the detection rate of non-suicidal self-injury was 34.4%. Bullying victimization and NSSI were negatively correlated with social support and resilience (r=-0.34 - -0.16, P<0.001), bullying victimization was positively correlated with NSSI (r=0.18, P<0.001), and social support was positively correlated with resilience (r=0.66, P<0.001). The results of mediating effect analysis showed that the simple mediating effect of social support between bullied and non-suicidal self-injury was 0.036 (95%CI:0.014-0.064), and the chain mediating effect of social support and resilience was 0.029 (95%CI: 0.011-0.056).

The bullying experience of secondary school students positively increases the risk of non-suicidal self-injury, and social support and resilience play chain mediating roles in this process. Improve the social support and resilience of secondary school students to reduce the non-suicidal self-injury behavior related to school bullying.

To explore the minimum clinically important difference (MCID) of peptic ulcer scale QLICD-PU (V2.0) among the System of quality of life instruments for chronic diseases.

Using convenience sampling, the questionnaire was administered from March 2013 to August 2014 using the QLICD-PU (V2.0) scale, and the MCIDs were calculatedusing the anchor-based and distribution-based methods, respectively, and analyzed to compare the MCIDs developed by taking the mean, taking the minimum, and taking the maximum methods.

The MCIDs of physical functioning (8.53), psychological functioning (8.45), social functioning (7.61), general module (7.05), specific module (8.82), and overall scale (7.53) obtained by taking the mean method; the MCIDs obtained by taking the minimum method were 5.25, 5.78, 6.16, 4.19, 7.18 and 4.09, respectively; the MCID obtained by taking the maximum method were 11.99, 12.05, 10.09, 9.48, 10.99 and 11.04, respectively.

In this paper, MCID was formulated by using various methods and criteria, which can be chosen by the users according to the situation. MCID can be used to assess the clinical efficacy of patients with peptic ulcers for the application of quality of life. The MCID values formulated can be validated further by clinical practice in subsequent studies.

To show that the current situation and influencing factors of loneliness in the elderly under different chronic diseases, and propose targeted solutions.

This survey adopted the convenience sampling method, selecting elderly people from five communities in Harbin for physical examinations and distributing questionnaires to conduct statistical analysis of the survey data.

The loneliness scores of the elderly without chronic diseases, single chronic diseases and multiple chronic diseases were (42.83±9.08), (44.46±9.14) and (46.21±8.66), respectively. Age, education level, marital status, per capita monthly income of households, residence status, social support, and death anxiety were the common factors affecting loneliness in the three types of elderly (P<0.05). In terms of elderly people with multiple chronic diseases, those who worked as civil servants (95%CI:-11.515--3.602), employees of enterprises/institutions (95%CI: -6.117--2.443), and farmers(95%CI: -7.485--0.909) before retirement had lower levels of loneliness(P<0.05).

Elderly people with chronic diseases have a higher sense of loneliness and need to pay more attention to their mental health. It is necessary to reduce the level of loneliness by improving the level of social support, reducing death anxiety, improving social welfare and medical policies, reducing the financial burden, and improving family relations.