ObjectiveTo analyze the impact of maternal postpartum depression (PPD) at 2 months postpartum on caregiving for infants aged2 to 24 months, and to provide a scientific basis for future maternal and infant healthcare services. MethodsBased on the Shanghai Maternal-Child Pairs Cohort, 1 060 mother-child pairs were selected from those fully participating in follow-up visits at 2, 6, 12, and 24 months postpartum. Pregnancy and childbirth-related information was collected using standardized questionnaire surveys and hospital obstetric and maternity records. The Edinburgh postpartum depression scale was used to assess the maternal postpartum depressive symptoms at 2 months postpartum. At 2, 6, 12, and 24 months postpartum, questionnaire survey was used to evaluate the maternal responsiveness in caregiving and the provision of early learning opportunities for infants. Scores for responsive caregiving and early learning opportunities at 2, 6, 12, and 24 months were grouped based on the 25th percentile (P₂₅) of total scores. The mixed-effects model was used to analyze the longitudinal impact of maternal postpartum depression at 2 months on the caregiving of 2 to 24-month-old infants. ResultsThe longitudinal results from the mixed-effects model did not show an impact of maternal PPD on infant responsive caregiving within 12 months and early learning opportunities within24 months. However, cross-sectional analysis revealed that, compared to the non-PPD group, the risk of low responsive caregiving at 2 months in the PPD group was 93% higher (OR=1.931, 95%CI: 1.113‒3.364, P=0.019). The risks for low provision of early learning opportunities at2 months and 24 months increased by 59% (OR=1.589, 95%CI: 1.082‒2.324, P=0.017) and 60% (OR=1.598, 95%CI:1.120‒2.279, P=0.010), respectively. ConclusionMaternal postpartum depression increases the risk of low responsive caregiving at 2 months, but its long-term effects warrant further research.

Objective:To investigate the influence of prenatal stressful life event (SLE) exposure on child emotional and behavioral problem at age 2-6 years and identify the most risk exposure period.Methods:A total of 2 524 mother-child pairs were selected from Shanghai Maternal-Child Pairs Cohort based on pregnant women form 2016 to 2018 in Shanghai. Prenatal SLE exposure was assessed by Life Events Scale for Pregnant Women Questionnaire during the first and third trimester of pregnancy. Child emotional and behavioral problem was evaluated by Strengths and Difficulties Questionnaire at age 2-6 years. Multivariate binary logistic regression model and generalized estimating equation were conducted to quantify the association between prenatal SLE exposure and child emotional and behavioral problem at age 2-6 years, and identify the pregnancy period with strongest adverse effect.Results:The 2 524 mother-child pairs were divided into 4 groups: group with consistent low exposure to SLE (61.8%), group with high exposure to SLE in the first trimester (13.2%), group with high exposure to SLE in the third trimester (13.2%) and group with consistent high exposure to SLE (11.8%). The detection rates of emotional problem, hyperactivity, peer interaction problem and total difficulty score in children aged 3-6 years were highest in the group with consistent high exposure to SLE. Generalized estimating equation analysis showed that after controlling the confounding factors, compared with the consistent low exposure group, the children in the group with high exposure to SLE in the first trimester had significant increased risk for conduct problem at age 2-6 years (a OR=1.41, 95% CI:1.07-1.87). The children in the group with consistent high exposure to SLE were at increased risk for emotional problem, peer interaction problem, and high total difficulty score with the a OR of 1.41 (95% CI: 1.09-1.83), 1.46 (95% CI: 1.15-1.86) and 1.51(95% CI: 1.17-1.93). Conclusion:These findings indicated that prenatal exposure to SLE have adverse effect on child emotional and behavioral problem at age 2-6 years, especially the exposure in the first trimester.

Objective: To evaluate the characteristics and related factors of physical activities both inside and outside the kindergarten among preschool children, so as to provide a reference for promoting targeted physical activities among different types of children in the future. Methods: From April 2016 to December 2022, 706 preschool children aged 3 to 6 years from the Shanghai parent child cohort followed up. Accelerometers were used to measure their physical activities during kindergarten hours, and a parent questionnaire was employed to assess their physical activities and screen time outside the kindergarten. Restrictive cubic spline analysis was used to examine the relationship between moderate to vigorous physical activities (MVPA) inside and outside the kindergarten. Cluster analysis was performed to identify physical activity patterns among children, and multinomial Logistic regression analysis was conducted to explore the influencing factors of these physical activity patterns. Results: On weekdays, preschooler accumulated an average of (40.83±15.71) minutes of MVPA inside the kindergarten and 30(15, 53) minutes outside daily. Restricted cubic spline analysis revealed an inverted U shaped relationship between MVPA inside and outside the kindergarten. Cluster analysis identified four groups: low daily MVPA but active inside (196, 27.8%), moderate daily MVPA but high screen time outside (97, 13.7%), adequate daily MVPA and relatively active outside (96, 13.6%), and low daily MVPA and relatively inactive both inside and outside (317, 44.9%). Compared to the reference group of adequate daily MVPA and relatively active outside, children with screen time exceeding 60 minutes at 2 years old were more likely to belong to the group with adequate daily MVPA but more screen time outside ( OR =3.84, 95% CI =1.16-12.74, P <0.05). Boys had a lower likelihood of being in the group with low daily MVPA and relatively inactive both inside and outside ( OR =0.33, 95% CI =0.16-0.70, P <0.05). Children from neighborhoods with insufficient sport facilities were more likely to be in the low daily MVPA and relatively inactive group ( OR =2.20, 95% CI = 1.05 -4.63, P <0.05). Conclusions Behavior patterns of physical activity and screen time for both inside and outside the kindergarten vary greatly among different children. Screen time at the age of 2 and the sports facilities around the commuinty are key factors influencing the physical activity pattern. It is recommended to implement personalized intervention plans in collaboration with schools and families for different types of children.

Objective To explore the prescription rules of traditional Chinese medicine (TCM) in the treatment of diabetes periodontitis(DP) and the acting mechanisms of core drug combination. Methods Based on the relevant literature retrieved from the CNKI,Wanfang,VIP and Sinomed,a DP prescription database was established. Excel 2021,SPSS Modeler 18.0 and SPSS Statistics 26.0 were used to conduct the statistics of the frequency,efficacy classifications,properties,flavors,and meridian tropism of the included drugs. Association rule analysis and cluster analysis were performed to screen out the core drug combinations. The active components and action targets of core drug combinations were obtained through TCMSP and HERB. The DP related disease targets were predicted using GeneCards. The Venny platform was used to obtain the intersection of disease targets and drug targets. Key components were screened by Cytoscape to establish an "active component-target" network. Based on STRING platform data,PPI network was constructed by Cytoscape to screen core targets. GO functional annotation and KEGG signaling pathway enrichment analysis were carried out for the intersection targets by DAVID. AutoDockVina was applied for molecular docking between core targets and key components. Results A total of 36 articles were included,and 50 prescriptions involving 100 Chinese herbal medicines were extracted. Alismatis Rhizoma,Rehmanniae Radix Praeparata and Astragali Radix were the most common drugs. The most used drug category was deficiency-nourishing drugs. The properties of the herbs were mainly cold and warm,the major flavors were sweet and bitter,and the main meridian tropisms were kidney and liver. Six categories were classified by clustering analysis. Moutan Cortes-Corni Fructus-Rehmanniae Radix Praeparata was screened out as the core drug combination involving 18 active components,164 drug action targets and 104 intersection of DP targets and drug combination targets. Quercetin,stigmasterol,kaempferol,β-sitosterol,tetrahydroalstonine,and sitosterol were the key components,and AKT1,IL-6,TNF,IL-1B,PTGS2,JUN,TP53,ESR1,and MMP9 were the core targets. GO analysis revealed 3724 biological processes,228 cellular components and 404 molecular functions. KEGG analysis showed that DP was treated by the core drug combination through regulating 235 signaling pathways. Molecular docking results showed that there was a good affinity between the core target and the key component. Conclusion Tonifying deficiency is the main treatment methods of TCM for DP,accompanied by clearing heat and removing dampness,activating blood circulation and removing blood stasis,replenishing qi and nourishing yin. Core drug combination (Moutan Cortes-Corni Fructus-Rehmanniae Radix Praeparata) treats DP through multi-component,multi-target and multi-pathway,which provide a reference for clinical diagnosis and treatment.

Objective: To investigate the distribution of various types of screen time and examine the association of screen time with psychological and behavioral development problems in children aged 3-6 years, so as to provide scientific basis for children s screen use and mental health promotion. Methods: A total of 3 875 mother child dyads who completed the follow up in Shanghai Maternal-Child Pairs Cohort were included. The daily usage time of children s tablet, mobile phone, TV, projectors, and other types of screens were obtained in questionnaire survey. Children s psychological and behavioral development problems were evaluated by Age-Stage Questionnaire, Third Edition (ASQ-3) and Strengths and Difficulties Questionnaire (Parent version) (SDQ). The Chi-square test, Mann Whitney U and Kruskal Wallis rank sum test were used to compare the detection rate of psychological and behavioral development problems and screen time in children with different characteristics. Multivariate binary Logistic regression was used to analyze the association of screen time with psychological and behavioral development problems. Results: There were 49.91% of children having screen time more than 1 h/d. Children s TV, tablet and mobile phone screen time were 0.39(0.25, 0.96 ), 0.25(0,0.61) and 0.18(0,0.25) h/d. The detection rates of suspected developmental delay in fine motor, problem solving and personal-social domains and pro social behavior deficiency and externalizing behaviors in boys (8.54%, 6.77%, 5.46%, 30.07 %, 27.39%) were higher than that in girls (4.64%, 4.85%, 2.48%, 22.10%, 22.36%) ( χ 2=23.76, 6.49, 22.37, 31.81, 13.06, P <0.05). There were statistically significant differences in the detection rates of suspected developmental delay in communication, fine motor and problem solving, as well as internalizing behavior and externalizing behavior of children with different parents educational levels ( χ 2=14.37, 15.18, 21.10, 11.66, 9.27; 16.34, 26.75, 32.89, 16.97, 6.37, P <0.05). There were significant differences in the detection rates of suspected developmental delay in problem solving, prosocial behavior deficiency, internalizing behavior and externalizing behavior of children whose mothers had anxiety/depression symptoms during pregnancy ( χ 2= 5.61 , 9.05, 21.90, 7.17; 8.75, 6.06, 12.76 , 5.55, P <0.05). The average total screen time of boys was longer than that of girls (1.07, 1.00 h/d, Z=-2.08, P =0.04). Compared with children with other educational levels of their parents, the total screen time, mobile phone and TV screen time of children whose parents had college education or above were short (father: H =42.01, 44.49 , 21.24, mother: H =42.31, 39.21 , 26.47, P <0.01). Among all types of screen time, mobile phone screen time had the most impact on psychological and behavioral development. More mobile phone screen time increased the risk of suspected developmental delay and abnormal emotional behavior ( P < 0.05). Screen time of tablet, mobile phone and TV were positively correlated with externalizing behavior ( OR=1.36, 1.57, 1.27 , P <0.05). Conclusions Screen time is related to children s psychological and behavioral development problems and mobile phones affect the most. Parents should limit their children s screen time to avoid excessive screen time affecting their psychological and behavioral development.

Objective:To investigate the incidence of various non-motor symptoms (NMS) in early stage of Parkinson′s disease (PD) patients and the differences between the body-first and brain-first subtypes.Methods:A total of 121 patients with PD (Hoehn-Yahr stage 1-2) were recruited from PD Clinic, Department of Neurology, Beijing Hospital from January 2012 to January 2015. The general information and clinical features of the patients were collected. The minimal diagnostic criteria of parasomnias described in the International Classification of Sleep Disorders-Revised were used to diagnose rapid eye movement sleep behavior disorder (RBD).According to the sequence of RBD and motor symptoms, the patients were divided into 2 groups: body-first subtype and brain-first subtype. NMS was evaluated by the Non-Motor Symptom Questionnaire (NMSQuest). The clinical features and the incidence of various NMS were compared between the 2 groups. The Unified Parkinson′s Disease Rating Scale (UPDRS) was used to evaluate the severity of the disease, and its third part (UPDRS-Ⅲ) was used to evaluate the motor function of the patients. Hamilton Rating Scale for Depression (HAMD) and Hamilton Rating Scale for Anxiety (HAMA) were used to evaluate the depression and anxiety status of the patients. The sleep status of patients was assessed by Parkinson′s Disease Sleep Scale (PDSS). The quality of life of the patients was assessed by 39-item Parkinson′s Disease Questionnaire (PDQ-39).Results:Of all the patients, 49.59% (60/121) had the body-first subtype and 50.41% (61/121) had the brain-first subtype of PD. There was no significant difference in UPDRS-Ⅲ score between the 2 groups. The average number of NMS in all PD patients was 10.97±4.88. Body-first subtype patients had higher NMS incidence than brain-first subtype in difficulty in swallowing [46.7% (28/60) vs 23.0% (14/61), χ 2=7.507, P=0.006], nausea and vomiting [16.7% (10/60) vs 3.3% (2/61), χ 2=6.069, P=0.014], constipation [85.0% (51/60) vs 55.7% (34/61), χ 2=12.393, P<0.001], fecal incontinence [8.3% (5/60) vs 0 (0/61), χ 2=5.302, P=0.021], difficulty in remembering recent events [58.3% (35/60) vs 32.8% (20/61), χ 2=7.962, P=0.005], loss of interest [43.3% (26/60) vs 24.6% (15/61), χ 2=4.743, P=0.029], inattention [45.0% (27/60) vs 19.7% (12/61), χ 2=8.884, P=0.003], depression [55.0% (33/60) vs 34.4% (21/61), χ 2=5.181, P=0.023], intense vivid dreams [73.3% (44/60) vs 39.3% (24/61), χ 2=14.196, P<0.001] and restless legs [53.3% (32/60) vs 27.9% (17/61), χ 2=8.140, P=0.004]. The differences were significant. Body-first subtype and NMSQuest ( r=-0.489, P<0.001), UPDRS ( r=-0.189, P=0.038), HAMD ( r=-0.231, P=0.011), HAMA ( r=-0.298, P=0.001) and PDQ-39 scores ( r=-0.276, P=0.002) were negatively correlated. Body-first subtype and PDSS score was positively correlated. NMSQuest (Δ R2=0.265, P<0.001) was the main determinant of PDQ-39 score. Conclusions:PD patients are accompanied by various NMS, which is a major factor affecting the quality of life. Compared with brain-first subtype, body-first subtype might have more NMS burden and higher incidence rate in most NMS in early PD patients.

Objective:To investigate the characteristics and clinical related factors of Parkinson′s disease (PD) patients with subjective cognitive decline (SCD).Methods:Ninety-nine PD patients with normal cognitive function enrolled in Beijing Hospital from January to December 2018 were collected for the study. Patients with PD were divided into groups with ( n=57) and without ( n=42) SCD using the first question in Part 1 of the Unified Parkinson′s Disease Rating Scale (UPDRS). All patients were assessed by Montreal Cognitive Assessment (MoCA), modified Hoehn-Yahr grading, UPDRS, Hamilton Rating Scale for Depression (HAMD), Hamilton Rating Scale for Anxiety (HAMA), Parkinson′s Disease Sleep Scale, Ability of Daily Living Scale and 39-item Parkinson′s Disease Questionnaire (PDQ-39). Levodopa equivalent dose conversion was performed for patients taking anti-PD drugs. Patients′ self-reported years of formal education were collected. Results:The proportion of PD with SCD in this group was 57.58% (57/99). There were statistically significant differences in MoCA [28.00 (27.00, 29.00) vs 28.00 (27.00, 29.00) ,Z=-2.28, P=0.023], HAMD [6.00 (5.00, 8.50) vs 5.00 (2.00, 8.00), Z=-2.23, P=0.026], HAMA [7.00 (6.00, 11.00) vs 6.00 (3.00, 8.25) , Z=-2.70, P=0.007], PDQ-39-emotional health [2.00 (0, 5.00) vs 1.00 (0, 3.00), Z=-2.03, P=0.042] and PDQ-39-cognitive scores [4.00 (2.00, 5.00) vs 2.00 (0, 4.00), Z=-3.42, P=0.001] between PD with and without SCD groups. SCD was correlated with MoCA ( r=-0.23, P=0.022), HAMD ( r=0.23, P=0.025) and HAMA ( r=0.27, P=0.006) scores to varying degrees. When controlling for HAMD and HAMA scores, the correlation between SCD and MoCA scores ( r′=-0.18, P=0.084) was no longer existed. Conclusions:SCD is common in PD patients with normal cognitive function and is associated with poorer cognitive performance and more severe symptoms of depression and anxiety. In this group of patients, the relationship between SCD and affective symptoms may be greater than that of objective overall cognitive function, which is worthy of further studies.

Objective:To investigate the epidemiological and clinical characteristics of visceral leishmaniasis (VL) in children, and to analyze the distinguishing features of VL associated hemophagocytic lymphohistiocytosis (HLH), so that to provide reference for the diagnosis and treatment of VL.Methods:Forty-one children with VL admitted to Xi′an Children′s Hospital from July 2012 to June 2021 were enrolled. The clinical data were retrospectively analyzed, including epidemiology, clinical manifestations, laboratory data, diagnostic methods, treatment regimens and outcomes. The patients were divided into VL group and VL+ HLH group according to whether combined with HLH or not, and the clinical characteristics and laboratory findings of the two groups were compared. Two independent samples t test, Mann-Whitney U test and chi-square test were used for statistical analysis. Results:Forty-one children with VL were from different provinces, including Shaanxi Province (70.73%(29/41)), Gansu Province (14.63%(6/41)), Shanxi Province (12.20%(5/41)) and Ningxia Hui Autonomous Region (2.44%(1/41)), and 87.80%(36/41) of them lived in rural areas. The peak age was >1.0 to 3.0 years old (63.41%(26/41)). They were sporadic throughout the year. The main clinical manifestations included fever (97.56%(40/41)), splenomegaly (95.12%(39/41)), lymphadenopathy (82.93%(34/41)) and hepatomegaly (60.98%(25/41)). The numbers of cases that Leishman-Donovan bodies were detected in the first, second and third bone marrow smears were 36, four and one, respectively. Anemia, thrombocytopenia and leukopenia detected by blood routine test were 100.00%(41/41), 78.05%(32/41) and 58.54%(24/41), respectively. There were statistically significant differences in the platelet count, lactate dehydrogenase, alanine aminotransferase, triglycerides, fibrinogen and ferritin between VL group (28 cases) and VL+ HLH group (13 cases) ( t=-2.56, t=2.64, Z=-2.66, t=7.15, t=-5.76 and t=3.86, respectively, all P<0.050). The proportions of hepatomegaly and hemophagocytes found in the bone marrow smears in VL group were both lower than those in VL+ HLH group, and the differences were both statistically significant ( χ2=4.47 and 10.93, respectively, both P<0.050). Twelve cases with VL+ HLH were treated with antimony (for six days) and intravenous immunoglobulin, and the others were treated with antimony only. The cure rates of the patients treated with antimony for one and two courses were 92.68%(38/41) and 4.88%(2/41), respectively. The dose of antimony was increased one third and treatment course was prolonged to eight days in one cured case. After (41.36±31.49) months of follow-up, three cases recurred after five to eight months of cure and all of them were cured after one more course of treatment with antimony. Conclusions:Children with VL are mainly distributed in rural areas. The common clinical manifestations are fever and involvement of reticuloendothelial system, which are not specific. The positive rate of Leishman-Donovan bodies found in bone marrow smears is high, and a few negative cases need repeated bone marrow aspiration. Standardized treatment with antimony for VL in children is effective, and combination therapy with immunoglobulin can be considered if patients with VL associated HLH. Very few cases may recur and antimony is still effective.

Objective:To establish the reference for serum metabolomics profiles among healthy Han adults in China, and explore the variation on metabolomics profiles by geographic regions, sex, and age.Methods:Cross-sectional data and serum samples were obtained from the China National Health Survey. A total of 1 039 male and 1 032 female healthy adults(≥30 years) were included in this study. Serum metabolomics analyses were conducted with ultra-performance liquid chromatography-mass spectrometry(UPLC-MS). Orthogonal partial least squares discriminant analysis(OPLS-DA) was performed to compare the differences of metabolomics among different region, sex, and age.Results:Significant differences on metabolomics profiles were identified among region, sex, and age. A total of 114 region-related metabolites were spotted, including 53 metabolites that involved in human metabolic pathways, mainly peptides(20 metabolites) and glycerophospholipid metabolism-related(14 metabolites). Fifty-nine metabolites were pinned down to be sex-related, among which cotinine was significant in all 7 provinces. Age-related metabolites were only found in Shaanxi and Hainan, with 22 metabolites were recognized.Conclusion:Serum metabolomics varies by geographic regions, sex, and age. When metabolomics is applied for diagnosis or biomarker screening in various studies, it shall take into consideration of setting tailored references.

Objective:To investigate the grey matter alterations of Parkinson′s disease (PD) patients with and without sleep disorders, and to explore the relationship between different sleep-related problems and clinical variables as well as grey matter volume (GMV) in PD.Methods:Forty-six PD patients and 38 healthy controls (HCs) were recruited from January 2018 to December 2021 in the Department of Neurology, Beijing Hospital. PD patients were divided into PD with sleep disorders (PD-S, n=26) and PD without sleep disorders (PD-nS, n=20) subgroups (cutoff points of 82 for Parkinson′s Disease Sleep Scale or less than 5 for each item was considered as an indicator of substantial sleep disorder). The Mini-Mental State Examination (MMSE), the third part of the Unified Parkinson′s Disease Rating Scale (UPDRS-Ⅲ), Hamilton Rating Scale for Anxiety (HAMA), Hamilton Rating Scale for Depression (HAMD), Non-Motor Symptoms Questionnaire (NMSQ), and Parkinson′s Disease Questionnaire-39 (PDQ-39) were used to evaluate cognitive function, motor symptoms, anxious and depressive symptoms, non-motor symptoms, and the quality of life of the patients. Optimized voxel-based morphometry was applied to the magnetic resonance imaging brain images in all participants,and multiple linear regression analysis was used to test the correlation between GMV and sleep quality in patients with PD. Results:Compared with the HCs, PD-nS patients showed decreased GMV in bilateral limbic lobe, parahippocampal gyrus, amygdala, cingulate gyrus, hippocampus, right cerebellum, bilateral frontotemporal lobe, bilateral occipital lobe and the left parietal lobe. PD-S group exhibited reduced GMV in bilateral limbic lobe, parahippocampal gyrus, amygdala, right cerebellum, bilateral frontotemporal lobe and bilateral parietal-occipital lobe, compared to the HCs. Compared with PD-nS, PD-S patients revealed higher depressive (HAMD score: 12.19±5.59 vs 6.95±3.19, t=-4.01, P<0.001), anxious (HAMA score: 12.04±5.32 vs 7.25±4.68, t=-3.18, P=0.003), and non-motor symptoms scores (NMSQ score: 12.92±5.18 vs 9.90±4.10, t=-2.14, P=0.038), poorer quality of life (PDQ-39 score: 35.31±22.01 vs 22.40±9.00, t=-2.71, P=0.010), and reduced GMV in the left insula, frontal, and parietal lobe ( P<0.001, uncorrected, cluster>100). There was a marked relationship between sleep quality and the reduced GMV of the right medial temporal gyrus (β=0.006, 95% CI 0.002-0.010, P=0.003), left middle frontal gyrus (β=0.006, 95% CI 0.002-0.010, P=0.002), the right cerebellum (β=0.014, 95% CI 0.005-0.023, P=0.003), and the right medial occipital gyrus (β=0.017, 95% CI 0.011-0.024, P<0.001). Significant grey matter changes were associated with nocturnal restlessness, mainly within the left limbic lobe, bilateral occipital lobe, the right cerebellum, and parietal lobe (β=0.008, 95% CI 0.006-0.010, P<0.001). Furthermore, nocturia in PD was related to certain grey matter atrophy, including bilateral limbic lobe, the right inferior parietal gyrus, and bilateral frontal lobe (β=0.010, 95% CI 0.008-0.013, P<0.001). The symptom of daytime dozing was correlated with GMV reduction in the right occipital lobe, the left temporal lobe (β=0.014, 95% CI 0.010-0.019, P<0.001). There were also several compensatory brain regions, including bilateral frontal lobe, the left limbic lobe and cingulate ( P<0.001, uncorrected, cluster>60). Conclusions:Sleep disturbance is common in PD, which is related to the anxious and depressive symptoms, non-motor symptoms, and the quality of life. PD patients with different sleep disorders show grey matter alterations in severeal brain regions, which are associated with sleep quality, nocturnal restlessness, psychosis, and daytime dozing.