To investigate the relationship between disease fear, self-efficacy, and psychological resilience after coronary artery bypass grafting (CABG) in Xinxiang of Henan province.

A total of 137 patients who underwent coronary artery bypass grafting in Xinxiang Central Hospital were selected by convenient sampling method. Fear disease progression simplified scale (FoPQ-SF) was used to investigate the status of postoperative fear of disease before discharge, 6 weeks, and 3 months after operation, and self-efficacy scale (GSES) and psychological resilience scale (CDRISC) were used to evaluate their self-efficacy and psychological resilience. Pearson method was used to analyze the correlation between GSES score, CD-RISC score, and FoP-Q-SF score, and Logistic regression model was used to analyze the influencing factors of self-efficacy and psychological resilience on disease fear progression.

The scores of FoP-Q-SF items, total score, GSES score, and CD-RISC score increased gradually before discharge, 6 weeks, and 3 months after operation, and the difference was statistically significant. Pearson correlation showed that GSES score and CD-RISC score were positively correlated with FoP-Q-SF score. Stepwise multivariate Logistic regression analysis showed that GSES score and CD-RISC score were the influencing factors of postoperative disease fear progression.

The disease fear status of patients after coronary artery bypass grafting in Xinxiang area of Henan Province is at a high level, and self-efficacy and psychological resilience are closely related to it, which are also the influencing factors of postoperative disease fear progression.

To explore the relationship between volatile organic compounds (VOCs) exposure and sleep problems in adults.

This study included 5 337 participants from the 2007-2014 National Health and Nutrition Examination Survey (NHANES) database. Weighted logical regression model and weighted quartile sum (WQS) regression model were used to evaluate the association of blood VOCs with short sleep duration (SSD), difficulty in falling asleep, and sleep disorders in adults.

After adjusting the confounding factors, blood benzene (OR = 1.120, 95%CI: 1.019-1.230, P = 0.02), 2,5-dimethylfuran (OR = 1.144, 95%CI: 1.043-1.254, P = 0.005), ethylbenzene (OR = 1.115, 95%CI: 1.025-1.211, P = 0.012), furan (OR =1.271, 95%CI: 1.086-1.489, P = 0.004), and o-xylene (OR = 1.097, 95%CI: 1.006-1.198, P = 0.037) had a significant positive correlation with SDD. Secondly, 2,5-dimethylfuran (OR = 1.082, 95%CI: 1.008-1.161, P = 0.03) and furan (OR = 1.148,95%CI: 1.002-1.315, P = 0.046) were positively correlated with difficulty in falling asleep. Subgroup analysis showed that the positive association between VOCs and SSD was consistent among different groups. WQS results showed that for every unit of increase, SSD risk increased by 25.4% (OR = 1.254, 95%CI: 1.009-1.559, P = 0.041).

There is a positive correlation between VOCs exposure and SSD in American adults.

To explore the mediating role of self-esteem in the relationship between childhood adverse experiences (ACEs) and depressive symptoms of junior high school students, and the regulatory effect of social support.

A total of 1 308 students from 3 junior middle schools in Xiangxi were selected by stratified random cluster sampling from February to April 2023. A questionnaire survey was conducted with the use of Childhood adverse experience questionnaire, Adolescent social support scale, PHQ-9 Depression symptom screening scale, and Rosenberg self-esteem scale. The data were analyzed by correlation analysis, intermediary analysis, and moderated intermediary model test.

(1) ACEs positively predicted depressive symptoms of junior high school students (β=0.801, t=7.246, P<0.05), while self-esteem and social support negatively predicted depressive symptoms of junior high school students (β=-0.406, t=-14.276, P < 0.05; β =-0.027, t=-2.781, P < 0.05). (2) Self-esteem played a mediating role between ACEs and depressive symptoms (effect=0.468, P < 0.05), and the mediating effect accounted for 31.33% of the total effect. (3) Social support directly regulated the relationship between ACEs and depressive symptoms (β=-0.017, t=-3.043, P<0.01), and social support played a regulatory role in the latter half of the mediating pathway of “ACEs self-esteem and depressive symptoms” (β=-0.004, t=-2.887, P<0.01).

There is a mediating effect between ACEs and depressive symptoms of junior high school students, and self-esteem is the mediating variable of the relationship between them. Social support buffers the influence of ACEs on the risk of depressive symptoms of junior high school students and strengthens the relationship between self-esteem and depressive symptoms. Therefore, giving more care and social support to junior high school students with ACEs and improving their self-esteem will help prevent and reduce the occurrence of depressive symptoms.

To investigate the prevalence and influencing factors of hyperhomocysteinemia among Tibetan residents in the west of Xizang Ali.

By using the method of multi-stage cluster random sampling, Tibetan residents were randomly selected from the western area of Xizang Ali for physical examination and questionnaire survey, and blood routine and biochemical indexes were collected. The prevalence and influencing factors of hyperhomocysteinemia in this area were analyzed by chi-square test and multivariate logistic regression.

A total of 1 362 Tibetan residents in the western region of Xizang Ali were investigated. The results showed that there were 1 044 patients with hyperhomocysteinemia, with a prevalence rate of 76.7%. The prevalence rate of males (84.8%) was higher than that of females (71.5%). Smoking (OR=1.988, 95%CI:1.076-3.675), poor household (OR=1.775, 95%CI: 1.204-2.540), hyperuricemia (OR=3.416, 95%CI: 2.494-4.679), hypercholesterolemia (OR=4.051, 95%CI: 2.811-5.838), and hypertriglyceridemia (OR=2.589, 95%CI: 1.765-3.798) were risk factors of hyperhomocysteinemia. Female (OR=0.538, 95%CI: 0.384-0.752) and agricultural and pastoral areas (OR=0.312, 95%CI:0.156-0.625) were protective factors.

The prevalence rate of hyperhomocysteinemia is high in the western region of Xizang Ali. Sex, residence, smoking, and poor households are the influencing factors of hyperhomocysteinemia. Hyperhomocysteinemia is significantly associated with hyperuricemia, hypercholesterolemia, hypertriglyceridemia, and other diseases.

To analyze the relationship between nicotine dependence and depression among the elderly of Dai ethnic group in Jinggu county, Yunnan Province.

By using the method of multi-stage stratified random sampling,1 409 rural Dai people aged 60 and over in Jinggu county, Yunnan Province were investigated by face-to-face questionnaire.

The current smoking rate of rural Dai elderly in Jinggu county, Yunnan Province was 18.6% (37.1% for males and 0.8% for females). The smoking rate of males was significantly higher than that of females (P < 0.01). At present, the nicotine dependence rate of smokers was 32.8% (32.4% for males and 50.0% for females). There was no significant difference in nicotine dependence among Dai elderly people of different genders (P > 0.05), age groups (P > 0.05), education (P > 0.05), and annual family per capita income (P > 0.05). The prevalence rate of depression in the surveyed population was 52.0% (49.4% for males and 54.5% for females). Multivariate Logistic regression model analysis showed that patients with nicotine dependence were more likely to suffer from depression than those without nicotine dependence (OR=1.517, 95%CI: 1.066-2.158).

Nicotine dependence is positively correlated with depression in the elderly of Dai ethnic group in Yunnan Province. Taking effective measures to reduce the nicotine dependence rate of smokers is helpful to improve the mental health level of the elderly.

To investigate the prevalence and influencing factors of abnormal bone mass in postmenopausal women of Dong and Miao ethnic groups in Guizhou Province, and to establish a nomogram prediction model and verify it, so as to provide theoretical basis for the prevention of abnormal bone mass in ethnic minority postmenopausal women in Guizhou Province.

This study was a cross-sectional study. In total 3 208 postmenopausal women of Dong and Miao ethnic groups were selected from the cohort study database of natural population of ethnic minorities in southwest China, and ultrasonic bone densitometer was used to measure calcaneal bone mineral density (BMD). The concentrations of cadmium, cobalt, copper, chromium, iron, mercury, manganese, molybdenum, nickel, lead, strontium, vanadium, and zinc in urine were determined by inductively coupled plasma mass spectrometer, and the relationship between urine metal, demographic characteristics, reproductive characteristics, ethnic diet, and BMD was analyzed by binary logistic regression, and the risk prediction model of bone mass abnormality was established.

A total of 3 208 people were included in the study, and a total of 1 520 people with abnormal bone mass were detected. The detection rate of abnormal bone mass was 47.38%. Based on age (OR=1.098, 95%CI: 1.083-1.113),history of bone fracture (OR=0.560, 95%CI: 0.395-0.794), age of menopause (OR=0.965, 95%CI: 0.949-0.982), number of live births (OR=0.900, 95%CI: 0.818-0.990), use of contraceptive (OR=0.708, 95%CI: 0.555-0.901), total physical activity (OR=0.989, 95%CI: 0.984-0.994), urinary cadmium (OR:1.060, 95%CI:1.009-1.113), and urinary chromium (OR=1.004, 95%CI:1.001-1.008) were independent influencing factors of abnormal bone mass. To establish a predictive model Logit (P) for predicting the risk of abnormal bone mass in postmenopausal women: Logit (P) =-2.170+0.093 * (age)-0.580 * (history of bone fracture)-0.035 * (menopausal age)-0.105 * (number of live births)-0.346* (whether or not you have taken contraceptive)-0.011 *(total physical activity) + 0.058 * (urinary cadmium) + 0.004 * (urinary chromium). The area under the receiver operating characteristic curve of the model was 0.722. The nomogram was drawn and verified internally. The results showed that the calibration curve predicted by the model for abnormal bone mass was basically consistent with the actual curve, and the fitting effect was good.

Cadmium and chromium are independent risk factors of abnormal bone mass, indicating that metal exposure can affect the occurrence and development of abnormal bone mass. The prediction model and score diagram of bone mass abnormality have good predictive ability, which provides a reference for screening abnormal bone mass of minority postmenopausal women in Guizhou Province.

To explore the risk factors of re-admission of schizophrenic patients within one year after discharge and to establish a risk prediction model of re-admission.

By using cluster sampling, 353 inpatients with schizophrenia in a large mental hospital from July to December 2020 were collected from the in-patient electronic medical record and discharge follow-up system. Based on their demographic and clinical data, Logistic regression analysis was used to analyze the risk factors of re-admission within one year after discharge.

Four predictive factors were included: course of disease ≥ 20 years (OR=2.373, 95%CI: 1.242-4.533), combination of antipsychotics (OR=2.07, 95%CI: 1.211-3.538), underlying disease (OR=1.893, 95%CI: 1.111-3.226), and harmful behavior (OR=11.219, 95%CI: 5.544-22.701). The prediction model fitted well (χ² =3.444, P=0.903): the area under the receiver operating characteristic curve of the subjects was 0.805, the sensitivity was 82.6%,and the specificity was 65.6%. The results of Bootstrap re-sampling (n=1 000 times) showed that the model was stable.

The predictive model based on demographic and clinical data can be used as a tool to identify the schizophrenic patients at high risk of re-admission in the early stage.

To investigate the effect of night shift work on metabolic syndrome (MS) in railway workers.

In total 7 635 railway workers who took part in the physical examination in the First Affiliated Hospital of Guangdong Pharmaceutical University from September to December 2021 were selected as the research subjects. Logistic regression was used for correlation analysis and restricted cubic spline (RCS) was used to analyze the dose-response relationship.

The prevalence rate of metabolic syndrome in railway workers was 15.1%. After adjusting the confounding factors, former night shift (OR=1.198, 95%CI: 1.002-1.431) and current night shift (OR=1.219, 95%CI: 1.048-1.417), night shift duration of 6.0 ~ < 11.0 years (OR=1.323, 95%CI: 1.092-1.603) and ≥ 11.0 years (OR=1.256, 95%CI: 1.029-1.534), night shift twice a week (OR=1.269, 95%CI: 1.074-1.498), 3 times (OR=1.217, 95%CI: 1.001-1.479), and ≥ 4 times (OR=1.295, 95%CI:1.032-1.623) were significantly associated with the prevalence of MS in railway workers. The results of RCS showed that there was a linear positive correlation between the working years of night shift and the risk of MS (P _total < 0.001, P _non-linear=0.0760). The risk of MS began to increase after 1 year of night shift and reached the highest after 14.1 years.

Night shift work will lead to an increase in the risk of MS among railway workers, and the higher the number of years of night shift work, the higher the risk.

To analyze and compare the characteristics and influencing factors of seeking medical treatment for patients with chronic diseases of different ages in China.

The cross-sectional data of China Family Panel Studies (CFPS) in 2018 were used to select patients with chronic diseases as the study subjects (n=5 231), including 18-44 years old, 45-59 years old, 60-74 years old, and over 75 years old. Logistic regression was used to analyze the influencing factors.

In urban areas, about 60% or more of patients with chronic diseases generally chose to go to the hospital for medical treatment. Multivariate regression analysis showed that patients aged 75 and above were more likely to go to the hospital than those aged 60 to 74 years old. In the subgroup analysis of young, middle-aged and elderly patients with chronic diseases, there were differences in the effects of education level, employment, and income level on the choice of location. In rural areas, about 50% of young, middle-aged and elderly patients with chronic diseases generally chose to seek treatment in primary health care institutions. Multivariate regression analysis showed that in rural areas, chronic patients aged 18-59 were more likely to go to hospital than those aged 60-74 (18-44: OR=1.50, 95%CI: 1.00-2.24, 45-59: OR=1.33, 95%CI: 1.05-1.70). In the subgroup analysis of young, middle-aged and elderly patients with chronic diseases, there were differences in gender, education level, marital status, region, income level, health status, depression status and other factors, while the influence of work status on site selection was similar.

In urban and rural areas, the factors affecting the location choice of chronic diseases of different ages vary. It is suggested to improve the understanding and trust of middle-aged and young people to primary medical institutions, and the advantages of primary medical institutions in providing comprehensive and continuous chronic disease management services should be further consolidated.

To analyze the current situation and potential influence paths of social support, imbalance of effort and reward, and sleep quality on self-rated health of male oil drilling crew workers in southwest China.

By using the method of cluster sampling, 1 951 male oil drilling crew workers were investigated, and a structural equation model was established to analyze the effects and pathways of social support, imbalance of effort and reward, and sleep quality on self-rated health.

The average score of social support of the sample population was 38.13 ± 9.02, 53.0% was with low reward, the average score of sleep quality was 6.39 ± 3.72, and 47.8% of the workers rated their health as average/relatively poor/poor. The results of structural equation model showed that social support (β = 0.123, 95%CI: 0.080-0.166) and sleep disorder (β =-0.407,95%CI: -0.447 to -0.364) respectively had a direct effect on self-rated health. The mediating effect of sleep disorder and its chain intermediary effect on effort and reward imbalance were 0.008 (95%CI: 0.006-0.010) and 0.005 (95%CI: 0.004-0.006),respectively.

The social support, effort and reward, sleep quality, and self-rated health status of male oil drilling crew workers in southwest China are poor. Social support and sleep disorder have a direct effect on self-rated health, and the imbalance of effort and reward and sleep disorder play an intermediary role in the effect of social support on self-rated health.