Cardiometabolic disease is one of the leading causes of morbidity and mortality in adults. In recent years, the prevalence of cardiometabolic disease has increased year by year, becoming a major problem in the global disease burden. The occurrence and development of cardiometabolic risk are affected by many factors. Shift work as an occupational hazard has been widely concerned. Nurses are a typical population for shift work, but few studies have looked at the association between their shift work and cardiometabolic risk. This article reviewed the current situation of cardiometabolic risk and the research progress on the association between shift work and cardiometabolic risk among nurses. The results showed that cardiometabolic risk is prevalent in the nurse population. Shift work is associated with cardiometabolic risks such as metabolic syndrome, cardiovascular disease, diabetes, and dyslipidemia, and is mediated by circadian rhythm disorder, hormone secretion disorder, and stress response. However, the causal relationship between shift work and cardiometabolic risk is still unclear, and further prospective cohort studies should be conducted to improve the understanding of the impact of shift work on cardiometabolic risk in order to improve the cardiometabolic health status of nurses.

Objective To investigate the effect of peripheral blood bile acids on the cognitive function of schizophrenia patients.Methods Targeted metabolomics was adopted to analyze the total level of primary and secondary serum bile acid metabolites collected from 23 schizophrenia patients and 23 health control individuals.The MATRICS Consensus Cognitive Battery(MCCB)was adopted to evaluate the subjects'cognitive function in five dimensions.Results We found that the schizophrenia patients had impaired cognitive functions in multiple dimensions including speed of processing,working memory,reasoning and problem solving,and visual learning.Compared with the health control group,serum levels of cholic acid(CA)and chenodeoxycholic acid(CDCA)were significantly lower in patients with schizophrenia,while serum level of glycocholic acid(GCA)was significantly higher,and the ratio of deoxycholic acid(DCA)to CA was higher(3.04 vs.1.16).Speed of processing,working memory,reasoning and problem solving,and visual learning abilities were significantly negatively correlated with serum levels of multiple primary bile acids including taurocholic acid(TCA),GCA,glycochenodeoxycholic acid(GCDCA)and taurochenodeoxycholic acid(TCDCA),after adjustments of age,sex,and body mass index.Conclusion The bile acid profile of schizophrenia patients is obvious,and the decrease in neuroprotective bile acids(namely,CA and CDCA)and the up-regulation of cytotoxic bile acid(i.e.,GCA)may impair the cognitive function of schizophrenia patients.

Objective:To investigate the arsenic metabolism pattern and possible influencing factors in the population in drinking-water-borne endemic arsenic poisoning (drinking-water-borne arsenic poisoning for short) areas.Methods:In December 2004, a cluster sampling method was used to select arsenic poisoning population (arsenic poisoning group) and healthy population (control group) in drinking-water-borne arsenic poisoning area of Bayannur City, Inner Mongolia Autonomous Region as the survey subjects. A questionnaire survey was conducted. Arsenic content in drinking water at home of survey subjects, the levels of urinary arsenic and its metabolites, including [trivalent arsenic (As Ⅲ), inorganic arsenic (iAs), monomethylarsenic acid (pentavalent, MMA V), dimethylarsenic acid (pentavalent, DMA V), total arsenic (tAs), percentage of inorganic arsenic (iAs%), percentage of monomethylarsenic acid (MMA%), percentage of dimethylarsenic acid (DMA%), primary methylation index (PMI), secondary methylation index (SMI)] were tested using high performance liquid chromatography-inductively coupled plasma mass spectrometry; nail arsenic and nail selenium levels were tested using atomic fluorescence spectrometer. The influencing factors of arsenic metabolism pattern were analyzed by multiple linear regression. Results:A total of 536 survey subjects were included, including 155 individuals in the arsenic poisoning group and 381 in the control group. The water arsenic level ranged from 0.0 to 825.7 μg/L. Compared with the control group, there was no significant difference in the distribution of gender, education level and dental fluorosis in the arsenic poisoning group ( P > 0.05), but there were significant differences in the distribution of age, marital status, smoking, drinking and water arsenic ( P < 0.05). Compared with the control group, the levels of urinary As Ⅲ, iAs, MMA V, DMA V, tAs, MMA%, MMA/DMA and nail arsenic in the arsenic poisoning group were higher ( P < 0.05), while the levels of urinary DMA%, SMI and nail selenium were lower ( P < 0.05); but there was no statistically significant difference in the levels of urinary iAs% and PMI ( P > 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary As Ⅲ (β = - 19.82, - 23.83, 0.61, 0.21, 7.26, 2.98, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary tAs (β = 3.18, 3.25, 1.31, 15.59, P < 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary iAs (β = - 20.47, - 25.90, 0.64, 0.25, 7.87, 3.11, P < 0.05). Age, gender, education level, water arsenic and nail arsenic were the influencing factors of urinary MMA V (β = 0.52, - 17.07, - 21.84, 0.22, 2.77, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary DMA V (β = 2.35, 2.47, 0.85, 9.22, P < 0.05). Conclusions:Compared with healthy individuals, there are differences in arsenic metabolism pattern among individuals with drinking-water-borne arsenic poisoning. Age, gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic may be influencing factors of different arsenic metabolism patterns.

OBJECTIVE To conduct a rapid qualitative study on the chemical constituents of the methanol extract in Thamnolia subuliformis (Ehrh.) W.Culb. by UHPLC-Q-Exactive Focus-MS/MS. METHODS The chromatographic separation was performed on a Waters Acquity UPLC BEH C18(2.1 mm×50 mm, 1.7 μm) column with acetonitrile(A)-0.1% formic acid aqueous solution(B) as mobile phase for gradient elution, the flow rate was 0.3 mL·min–1 and the column temperature was 30 ℃. Mass spectrometry was performed using an electrospray ionization and data was collected in negative ion modes, and the detection range was m/z 80−1 200. The chemical constituents in Thamnolia subuliformis (Ehrh.) W.Culb. were identified rapidly and comprehensively based on the accurate relative molecular and combined with literature data and reference substances. RESULTS A total of 39 chemical constituents were speculatively identified, including 9 mono-substituted phenyl rings, 11 depsides, 5 depsidones, 2 dibenzofuran, 10 lipids, and 2 others. CONCLUSION The chemical constituents in the Thamnolia subuliformis (Ehrh.) W.Culb. can be identified accurately and rapidly by this method. Among them, 3 compounds(β-resorcylic acid, usnic acid, atranorin) are unambiguously identified by comparing with reference standards, 19 compounds are found from Thamnolia subuliformis (Ehrh.) W.Culb. for the first time. This paper can provide the important basis for study on pharmacodynamic material and substitute development of Thamnolia subuliformis (Ehrh.) W.Culb..

Objective:To investigate the relationship between the outcome of skin injury and urinary arsenic methylation metabolism levels in people exposed to arsenic through drinking water.Methods:Using cluster sampling method, permanent residents from drinking-water-borne endemic arsenic poisoning areas in Bayannur City, Inner Mongolia Autonomous Region were selected as survey subjects in 2004 (before water improvement). In 2017 (after water improvement), 74 survey subjects from 2004 were tracked and followed up. Urine samples were collected from survey subjects and high-performance liquid chromatography inductively coupled plasma mass spectrometry was used to detect the levels of arsenic methylation metabolites in urine. According to the "Diagnosis of Endemic Arsenic Poisoning" (WS/T 211-2015), the clinical grading (normal, suspicious, mild, moderate and severe) of skin injury of the survey subjects and the outcome of 2017 (improved, unchanged, aggravated) were assessed. A database was established and SPSS 25.0 software was used for statistical analysis.Results:The clinical grading ratios of skin injuries among survey subjects in 2004 and 2017 were compared, the differences were statistically significant (normal, suspicious, mild, moderate and severe: 38, 18, 4, 14 cases in 2004 and 27, 31, 3, 13 cases in 2017, χ 2 = 53.02, P < 0.001). Compared with 2004, in 2017, the levels of total arsenic (tAs), inorganic arsenic (iAs), monomethylarsenic (MMA), dimethylarsenic (DMA), percentage of inorganic arsenic (iAs%), and ratio of monomethylarsenic to dimethylarsenic (MMA/DMA) in the urine of survey subjects were low, and the differences were statistically significant ( Z = - 8.24, - 9.07, - 7.81, - 8.04, - 8.24, - 3.56, P < 0.001). The levels of dimethylarsenic percentage (DMA%), monomethylation rate (PMI) and dimethylation rate (SMI) were higher, and the differences were statistically significant ( Z = - 6.39, - 8.24, - 3.52, P < 0.001). In 2004, patients with different clinical grading of skin injuries had different outcomes in 2017 (χ 2 = 30.80, P < 0.001). There were statistically significant differences in tAs, iAs, MMA and DMA variation in urine among skin injury patients with different outcomes ( H = 10.62, 9.35, 8.80, 9.13, P < 0.05). Conclusions:Improving water can significantly reduce the levels of tAs, iAs, MMA, and DMA in the urine of arsenic exposed individuals. The outcome of skin injury in individuals exposed to arsenic through drinking water is related to the variation of urinary arsenic methylation metabolites tAs, iAs, MMA, and DMA.

【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 study the effect of water improvement on urinary arsenic methylation metabolism in population exposed to arsenic through drinking water.Methods:A cluster sampling method was used to select drinking water type arsenism areas in Bayannur City, Inner Mongolia Autonomous Region. Permanent residents lived in the arsenism areas for more than 10 years were selected as the survey subjects. Urine samples ( n = 874, 111, 145) were collected in 2004 (before water improvement), 2014 (4 years after water improvement) and 2017 (7 years after water improvement), respectively, and some subjects were followed up in 2014 and 2017. High performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS) was used to detect different forms of arsenic metabolites in urine [inorganic arsenic (iAs), monomethylarsonic acid (MMA), dimethylarsenic acid (DMA)], and total arsenic (tAs), the iAs percentage (iAs%), MMA percentage (MMA%), DMA percentage (DMA%), monomethylation rate (PMI), dimethylation rate (SMI), and the ratio of MMA to DMA (MMA/DMA) were calculated. The content and distribution of urinary arsenic metabolites in people exposed to arsenic before and after water improvement were compared and analyzed. Results:Compared with 2004, the levels of iAs, MMA, DMA, tAs and iAs% in urine of arsenic exposed population in 2014 were lower ( Z =-14.12,-12.79,-14.27,-14.21,-6.90, P < 0.001), the levels of MMA%, DMA% and PMI were higher ( Z =-3.22,-2.91,-6.90, P < 0.05); in the same drinking water arsenic exposed population, compared with 2004, the levels of iAs, MMA, DMA, tAs and iAs% in urine ( n = 48) were lower ( Z =-5.57,-5.53,-5.54,-5.55,-2.86, P < 0.05) in 2014, and PMI level was higher ( Z =-2.86, P = 0.004). Compared with 2014, the levels of iAs% and MMA/DMA in urine of arsenic exposed population in 2017 were lower ( Z =-4.97,-2.25, P < 0.05), the levels of MMA, DMA, tAs, DMA%, PMI and SMI were higher ( Z =-4.01,-5.39,-4.77,-4.61,-4.97,-2.25, P < 0.05); in the same drinking water arsenic exposed population, compared with 2014, the level of iAs% in urine ( n = 28) was lower ( Z =-2.87, P = 0.004) in 2017, the levels of DMA% and PMI were higher ( Z =-2.32,-2.87, P < 0.05). Conclusion:Water improvement could significantly reduce the levels of urinary arsenic metabolites iAs, MMA, DMA and tAs and increase the level of DMA% in arsenic exposed population.

Objective: To analyze the current status and equity of mental health resources allocation in Shanghai Municipality, so as to provide data supports to formulate mental health action plans and relevant policies. . Methods: The data pertaining to mental health institutions, actual beds opened, certified or assistant psychiatrists and registered nurses was collected from the Survey of the Current Status on Mental Health Resources in Shanghai Municipality in 2020. The equity of mental health resources allocated by population and geographical area in Shanghai Municipality was evaluated with Lorenz curve and Gini coefficient Results: There were 96 mental health institutions, 15 060 actual beds opened, 257 certified or assistant psychiatrists and 2 887 registered nurses in Shanghai Municipality in 2020, with a physician-to-nurse ratio of 1∶2.30. The greatest numbers of actual beds opened in the department of psychiatrics, the number of certified or assistant psychiatrists and the number of registered nurses per 10 000 residents and per km2 were all found the central urban areas. The numbers of actual beds opened in the department of psychiatrics, the number of certified or assistant psychiatrists and the number of registered nurses per 10 000 residents were 6.06 beds, 0.51 physicians and 1.16 nurses, with Gini coefficients of 0.36, 0.42 and 0.44, respectively, and the numbers of actual beds opened in the department of psychiatrics, the number of certified or assistant psychiatrists and the number of registered nurses per km2 were 2.38 beds, 0.20 physicians and 0.46 nurses, with Gini coefficients of 0.72, 0.76 and 0.75, respectively. Conclusions There was a gross equity in mental health resources allocated by population and geographical area in Shanghai Municipality in 2020, which showed an improvement as compared to 2015. The equity in mental health resources allocated by geographical area was lower than that by population in Shanghai Municipality.

【Objective】 To investigate the relationship between rapid eye movement sleep (REM) and the incidence of angina pectoris (AP) in different genders. 【Methods】 We recruited 2710 participants from the Sleep Heart Health Study with an average age of (61.7±10.9)y, of whom 1 103 (40.7%) were male and 1 607(59.3%) were female. The participants were divided into grade 1 (<20%), grade 2 (20%-25%), and grade 3 (>25%) according to the percentage of REM sleep time (REM%). Complete polysomnography data and medical records were collected for all the participants. Multivariate logistic regression analysis was used to characterize the independent association between REM% and the occurrence of AP. 【Results】 REM% in the three groups varied significantly in age, body mass index (BMI), smoking, AHI, diabetes, and hypertension (P<0.05). In addition, the incidence of AP in patients with grade 3 of REM% was significantly higher than those with grade 1 and 2 in both men and women. After adjusting for covariates such as age, ethnicity, AHI, marital status, education level, BMI, diabetes, hypertension, and smoking status, multiple logistic regression analysis showed that REM% >25% in women was closely related to AP (OR=1.523; 95% CI:1.132-2.051, P=0.006). 【Conclusion】 Participants with REM sleep time >25% have a significantly increased prevalence of AP in women, but not in men.