Objective:To explore the mediating role of mindfulness between professional identity and positive emotions among medical students.Methods:From February to April 2022, a total of 878 undergraduates from a medical school in Shandong Province were selected by cluster sampling method. The medical professional identity questionnaire, positive and negative affective scale, and mindful attention awareness scale were utilized for cross-sectional investigation. SPSS 22.0 software was used for descriptive and correlation analysis, and AMOS 25.0 software was used to test the mediating effect.Results:(1) The scores for medical students' professional identity, positive emotions, and mindfulness were 140.00 (125.00, 150.00), 30.00 (28.00, 35.00), and 52.00 (44.00, 63.00), respectively. The dimension scores of occupational cognition, occupational emotion, occupational commitment, occupational behavior, occupational expectation and occupational sense of value in the medical professional identity questionnaire were 23.00 (20.00, 25.00), 19.00 (16.00, 20.00), 19.00 (16.00, 21.00), 16.00 (13.00, 16.00), 32.00 (28.00, 36.00), and 31.00 (29.00, 34.00), respectively. (2) The total and dimension scores of professional identity, positive emotions, and mindfulness were significantly and positively correlated with each other( r=0.125-0.390, all P<0.001). (3) Mindfulness partially mediated the relationship between professional identity and positive emotions (effect size=0.02, 95% CI=0.01-0.04), and the mediating effect accounted for 4.76%(0.02/0.42) of the total effect. Conclusion:Professional identity can directly affect the positive emotions of medical students, and indirectly affect the positive emotions through the mediating role of mindfulness.

Objective: To analyze the influencing factors for the 20-69-year-old residents in Anhui Province with substandard physiques, so as to provide a basis for improving the physiques of population. Methods : The 2014 physical fitness survey data of residents aged 20-69 years in Anhui Province were collected, including demographic information, physical exercise status and physical indicators ( height, weight, vital capacity, blood pressure and so on ). The physiques of residents was rated according to the "National Fitness Standards" ( 2003 edition ) . The multivariate logistic regression model was used to analyze the influencing factors for substandard physiques in different age groups. Results: Among 39 803 residents recruited, 5 081 were rated as substandard physiques and the rate was 12.77%. The rates of substandard physiques in the residents aged 20-<40, 40-<60 and 60-69 years were 11.08%, 13.11% and 16.74%, respectively. The results of multivariate logistic regression analysis showed that age, gender, household registration, education level, occupation and time spent each exercise were the influencing factors for substandard physiques among the residents aged 20-<40 years ( P<0.05 ); age, household registration, education level, occupation and physical exercise were the influencing factors for substandard physiques among the residents aged 40-<60 years ( P<0.05 ); age, gender, education level, occupation, physical exercise and time spent each exercise were the influencing factors for substandard physiques among the residents aged 60-69 years ( P<0.05 ). Conclusions The residents aged 20-69 years in Anhui Province have higher rate of substandard physiques in the 2014 survey. Age, education level, occupation and physical exercise may affect physical fitness and vary in different age groups, thus interventions should be carried out according to age.

Objective:To estimate the effect of comorbid gestational diabetes mellitus (GDM) and depression on glucose metabolism and neonatal morphology.Methods:From March 2015 to October 2018, recruited 18 to 28 weeks pregnant women who met the criteria in the Hefei First People′s Hospital or First Affiliated Hospital of Anhui Medical University or Anhui Maternal and Child Health Hospital, including a total of 4 380 study subjects, of which the birth outcome information of 3 827 newborns were collected. The self-made questionnaire "Maternal Health Questionnaire for Hefei City" and Edinburgh Postpartum Depression Scale were used to obtain basic demographic characteristics and emotional state of depression. Data from the 75-g oral-glucose-tolerance test were obtained at 24-28 weeks of gestation. After delivery, delivery outcome information were collected from the hospital medical records. Covariance analysis was used to analyze the differences in glucose metabolism indicators and neonatal outcome indicators in pregnant women with different GDM and depression status. Multiple logistic regression model was used to analyze the correlation between GDM and depression, with different groups of GDM and depression status (no GDM and depression, simple depression, simple GDM, comorbid GDM and depression)as independent variables and whether they were large for gestational age as dependent variables. The interaction between GDM and depression was also analyzed.Results:The 4 380 pregnant women were (28.8±4.2) years old. The incidence of GDM was 19.5% (852/4 380), and the detection rates of depression in the second and third trimesters were 12.1% (526/4 380) and 12.3% (536/4 367). PG-1h and AUC in the comorbid GDM and depression group were significantly higher than those in the group with no GDM and depression ( P<0.05) and the single GDM group ( P<0.05). After adjusting for factors such as the childbirth age, education level, family′s main economic income, BMI before pregnancy, parity, number of physical activities, and weight gain during pregnancy, compared with the group with no GDM and depression, the RR(95% CI) of LGA occurred in the single depression group, the single GDM group and the comorbid group were 1.31(0.89-1.91), 1.51(1.14-2.00) and 2.43(1.29-4.57), respectively. Further analysis showed that the association between GDM pregnant women with depression and newborn LGA ［ RR (95% CI): 2.12 (1.01-4.49)］ was stronger than that between GDM pregnant women without depression and newborn LGA ［ RR (95% CI): 1.50 (1.12-1.99)］, the P interaction value was<0.05. Conclusion:The status of comorbid GDM and depression can impair glucose metabolism and increase the risk of LGA.

Objective:To estimate the effect of comorbid gestational diabetes mellitus (GDM) and depression on glucose metabolism and neonatal morphology.Methods:From March 2015 to October 2018, recruited 18 to 28 weeks pregnant women who met the criteria in the Hefei First People′s Hospital or First Affiliated Hospital of Anhui Medical University or Anhui Maternal and Child Health Hospital, including a total of 4 380 study subjects, of which the birth outcome information of 3 827 newborns were collected. The self-made questionnaire "Maternal Health Questionnaire for Hefei City" and Edinburgh Postpartum Depression Scale were used to obtain basic demographic characteristics and emotional state of depression. Data from the 75-g oral-glucose-tolerance test were obtained at 24-28 weeks of gestation. After delivery, delivery outcome information were collected from the hospital medical records. Covariance analysis was used to analyze the differences in glucose metabolism indicators and neonatal outcome indicators in pregnant women with different GDM and depression status. Multiple logistic regression model was used to analyze the correlation between GDM and depression, with different groups of GDM and depression status (no GDM and depression, simple depression, simple GDM, comorbid GDM and depression)as independent variables and whether they were large for gestational age as dependent variables. The interaction between GDM and depression was also analyzed.Results:The 4 380 pregnant women were (28.8±4.2) years old. The incidence of GDM was 19.5% (852/4 380), and the detection rates of depression in the second and third trimesters were 12.1% (526/4 380) and 12.3% (536/4 367). PG-1h and AUC in the comorbid GDM and depression group were significantly higher than those in the group with no GDM and depression ( P<0.05) and the single GDM group ( P<0.05). After adjusting for factors such as the childbirth age, education level, family′s main economic income, BMI before pregnancy, parity, number of physical activities, and weight gain during pregnancy, compared with the group with no GDM and depression, the RR(95% CI) of LGA occurred in the single depression group, the single GDM group and the comorbid group were 1.31(0.89-1.91), 1.51(1.14-2.00) and 2.43(1.29-4.57), respectively. Further analysis showed that the association between GDM pregnant women with depression and newborn LGA ［ RR (95% CI): 2.12 (1.01-4.49)］ was stronger than that between GDM pregnant women without depression and newborn LGA ［ RR (95% CI): 1.50 (1.12-1.99)］, the P interaction value was<0.05. Conclusion:The status of comorbid GDM and depression can impair glucose metabolism and increase the risk of LGA.

Objective: To explore the relationship between the vitamin D levels and lipid metabolism during second trimester. Methods: A total of 1 875 pregnant women who were in the second trimester and had antenatal care in 3 hospitals in Hefei of Anhui province from March 2015 to February 2018 were included. Baseline questionnaire survey was performed, and fasting venous blood samples were collected from the pregnant women to detect serum 25(OH)D, cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL-C) and low-density lipoprotein (LDL-C) levels. Cubic non-linear model and linear regression model were used to analyze the linear relationship between vitamin D levels and lipid metabolism indicators in the second trimester. Results: The vitamin D deficiency rate was 75.3% (1 412/1 875) in the pregnant women. The mean levels of lipid metabolism indicators TC, TG, HDL-C and LDL-C were (233.22±38.87), (226.24±83.88), (79.04±12.77), and (109.54±25.95) mg/dl respectively. Multivariate linear regression model results showed, compared with Q5 of the 25(OH)D, the TC and TG levels of Q1-Q4 groups significantly increased, and the LDL-C of Q1 and Q2 groups significantly increased. The highest difference between TC, TG and LDL-C was observed in Q1 group. (TC: β=16.88, 95%CI: 10.50-23.26; TG: β=34.92, 95%CI: 21.32-48.53; LDL-C: β=9.06, 95%CI: 4.77-13.35). No significant differences in HDL-C level among the 5 groups were observed. When stratified with vitamin D deficiency the results showed that, when 25(OH)D was <50 nmol/L, TC, TG and LDL-C levels decreased by 3.53 (95%CI: 1.30-5.75), 7.42 (95%CI: 2.41 to 12.44) and 2.08 mg/dl (95%CI: 0.60-3.57) along with a 10 nmol/L increase of 25(OH)D, the difference was statistically significant, and when 25(OH)D was ≥50 nmol/L, no significant correlation was found between 25(OH)D level and TC, TG and LDL-C levels. No significant relationship between 25(OH)D level and HDL-C level was observed regardless of vitamin D deficiency. Conclusions There was a nonlinear relationship between vitamin D levels and lipid metabolism indicators in the second trimester. There was a significant negative correlation between 25(OH)D level and lipid metabolism indicators only in the deficiency of vitamin D.

Objective: To explore the association between the exposure to major air pollutants in pre-pregnancy and early pregnancy (peri-conceptional period) and gestational diabetes mellitus (GDM). Methods: From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check-ups hospital in Hefei (Hefei First People′s Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM_2.5, PM₁₀, SO₂, CO and NO₂) during different periods of pre-pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results: The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high-concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre-pregnancy (χ²=61.28, P_trend<0.001) with the OR (95%CI) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre-pregnancy period, in every 10 μg/m³ increase of PM_2.5 and PM₁₀, the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively; for each increase of 1 μg/m³ and 0.10 mg/m³ of SO₂ and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m³ increase in the average concentration of SO₂ in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion PM_2.5, PM₁₀, SO₂ and CO exposure during the pre-pregnancy and SO₂ exposure in first trimester were positively correlated with the risk of GDM.

From March 2015 to February 2018, 4 728 women aged 18 to 45 years old with single-pregnancy at the gestational age of 13 to 27 weeks in Hefei were recruited to analyze the trend of vitamin D status. The average levels of serum 25(OH)D in 2015, 2016 and 2017 were (43.22±18.41) nmol/L, (39.3±15.1) nmol/L and (36.6±17.0) nmol/L, and the prevalence of vitamin D deficiency were 69.5%, 77.6% and 81.4%, respectively. Compared with 2015, the levels of serum 25(OH)D in pregnant women in 2016 and 2017 decreased by 5.23 (95%CI: 4.10-6.35) nmol/L and 7.98 (95%CI: 6.77-9.19) nmol/L. The OR (95%CI) values for the risk of vitamin D deficiency were 1.88 (95%CI: 1.57-2.24) and 2.41 (95%CI: 1.98-2.93).

Objective To explore the relationship between different statuses of vitamin D and parathyroid hormone (PTH) during pregnancy with glucose metabolism and the risk of gestational diabetes mellitus (GDM). Methods A total of 4138 pregnant women who had antenatal care in 3 hospitals of Hefei from March 2015 to December 2017 were recruited during 21-24 weeks. Baseline questionnaires were performed and serum 25-hydroxyvitamin D [25(OH) D] and PTH levels were measured in fasting venous blood. Glucose tolerance tests were performed during 24 to 28 weeks. Multivariate linear regression model and multivariate logistic regression model were applied to analyze the differences of glucose metabolism index and GDM risk among pregnant women at different statusesof25(OH)DandPTH.Results Theaveragelevelof25(OH)Dinthesecondtrimesterwas(39.8±16.6) nmol/L, with the median PTH 10.7 (6.9, 16.7) ng/L and the detection rate of GDM 20.4％. Covariance analysis showed no statistically significant association of vitamin D and PTH levels with glucose metabolism indexes. Pregnant women with high PTH and vitamin D deficiency had higher 1h postprandial plasma glucose ( 1hPG) , the area under the glucose curve ( AUCglu ) levels, and GDM risk compared with pregnant women with middle/lower PTH and vitamin D deficiency ( control group, all P<0.05) , and higher PTH accompanied with vitamin D non-deficiency ( Group 2, all P<0.05) . However, significant changes in glucose metabolism indicators and GDM risk were not observed in low-level PTH-pregnant women with vitamin D deficiency ( group 1) and group 2 pregnant women compared with control group. Conclusion There is an interaction between vitamin D/PTH levels and glucose metabolism during pregnancy. Vitamin D deficiency with elevated PTH level is associated with abnormal glucose metabolism.

To explore the association between the exposure to major air pollutants in pre?pregnancy and early pregnancy (peri?conceptional period) and gestational diabetes mellitus (GDM). Methods From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check?ups hospital in Hefei (Hefei First People′s Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM2.5, PM10, SO2, CO and NO2) during different periods of pre?pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high?concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre?pregnancy (χ2=61.28, Ptrend<0.001) with the OR (95% CI ) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre?pregnancy period, in every 10 μg/m3 increase of PM2.5 and PM10, the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively;for each increase of 1 μg/m3 and 0.10 mg/m3 of SO2 and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m3 increase in the average concentration of SO2 in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion PM2.5, PM10, SO2 and CO exposure during the pre?pregnancy and SO2 exposure in first trimester were positively correlated with the risk of GDM.

From March 2015 to February 2018, 4 728 women aged 18 to 45 years old with single?pregnancy at the gestational age of 13 to 27 weeks in Hefei were recruited to analyze the trend of vitamin D status. The average levels of serum 25(OH)D in 2015, 2016 and 2017 were (43.22±18.41) nmol/L, (39.3±15.1) nmol/L and (36.6±17.0) nmol/L, and the prevalence of vitamin D deficiency were 69.5%, 77.6% and 81.4%, respectively. Compared with 2015, the levels of serum 25(OH)D in pregnant women in 2016 and 2017 decreased by 5.23 (95%CI: 4.10-6.35) nmol/L and 7.98 (95%CI: 6.77-9.19) nmol/L. The OR (95%CI) values for the risk of vitamin D deficiency were 1.88 (95%CI : 1.57-2.24) and 2.41 (95%CI : 1.98-2.93).