Objective: To explore the role of outdoor activity in the relationship between infancy responsive caregiving trajectories and early childhood development, so as to provide a theoretical basis for the promotion of early child development. Methods: The study participants were drawn from the Shanghai Maternal-Child Pairs Cohort and 4 723 mother-child pairs who completed responsive caregiving questionnaires at 2, 6 and 12 months old were included. Questionnaires were used to assess children s responsive caregiving and average daily hours of outdoor activity at 2 years of age. The Age-Stage Questionnaire, Third Edition (ASQ-3) was used to evaluate children s development problems at 2-5 years old. Group based trajectory model was applied to fit infancy responsive caregiving trajectory. Modified Poisson regression was used to analyze associations between different responsive caregiving trajectory groups and child development, and moderating effects were tested for hours of outdoor activity. Results: Infancy responsive caregiving trajectories were categorized into general group ( n =3 871), declining group( n =160), and fluctuating group( n =646). After adjusting for confounding factors, such as parents educational level, annual household income, maternal progestation body mass index,maternal tobacco exposure during pregnancy,maternal anxiety and depression during pregnancy, maternal age at delivery,maternal gestational age,maternal mode of delivery, children s gender,children s birth weight, and duration of breastfeeding, the results of modified Poission regression analysis showed that compared with the general group, children at the age of 2 in declining and fluctuating group had increased risks of suspected developmental delays in communication, gross motor, fine motor, problem solving, and personal-social scales ( OR =1.41,1.31,1.35,1.23,1.21；1.07,1.08,1.08,1.09,1.06);but children only had increased risk of suspected developmental delays in communication of declining group ( OR =1.08), personal-social scales of fluctuating group ( OR =1.06) at 3-5 years of age ( P <0.05). At lower levels of outdoor activity, children in fluctuating group had reduced scores in communication ( β =-1.41), fine motor ( β =-2.34), problem solving ( β =-1.11) and personal-social scales ( β =-1.99) as compared to general group; and children in declining group had reduced scores in gross motor ( β =-4.78)( P <0.05). While at higher levels of outdoor activity, no differences were found between children in fluctuating, declining groups and those in general group in scores of different scales ( P >0.05). Conclusion Prolonged outdoor activity attenuates the adverse effects of declining and fluctuating trajectories of infancy responsive caregiving on early childhood development.

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 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.

BACKGROUND: The prevalence of hypertension is high among Chinese adults, thus, identifying non-hypertensive individuals at high risk for intervention will help to improve the efficiency of primary prevention strategies. METHODS: The cross-sectional data on 9699 participants aged 20 to 80 years were collected from the China National Health Survey in Gansu and Hebei provinces in 2016 to 2017, and they were nonrandomly split into the training set and validation set based on location. Multivariable logistic regression analysis was performed to develop the diagnostic prediction model, which was presented as a nomogram and a website with risk classification. Predictive performances of the model were evaluated using discrimination and calibration, and were further compared with a previously published model. Decision curve analysis was used to calculate the standardized net benefit for assessing the clinical usefulness of the model. RESULTS: The Lasso regression analysis identified the significant predictors of hypertension in the training set, and a diagnostic model was developed using logistic regression. A nomogram with risk classification was constructed to visualize the model, and a website ( https://chris-yu.shinyapps.io/hypertension_risk_prediction/ ) was developed to calculate the exact probabilities of hypertension. The model showed good discrimination and calibration, with the C-index of 0.789 (95% confidence interval [CI]: 0.768, 0.810) through internal validation and 0.829 (95% CI: 0.816, 0.842) through external validation. Decision curve analysis demonstrated that the model was clinically useful. The model had a higher area under receiver operating characteristic curves in training and validation sets compared with a previously published diagnostic model based on Northern China population. CONCLUSION This study developed and validated a diagnostic model for hypertension prediction in Gansu Province. A nomogram and a website were developed to make the model conveniently used to facilitate the individualized prediction of hypertension in the general population of Han and Yugur.
Adult ; Humans ; Asian People ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Hypertension/epidemiology* ; Nomograms ; Ethnicity

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 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 explore the influence of birth weight and growth patterns during infancy on overweight and obesity among first grade primary school pupils, so as to provide a theoretical basis for the formulation of early life prevention and intervention policies. Methods: In 2019, data related to routine physical examinations were collected for primary school pupils in the Minhang District of Shanghai, and information regarding birth and follow ups was collected retrospectively. Physical examination data of 4 434 pupils at 12 months of age were obtained. A multiple linear regression model was used to analyze the relationship between growth patterns during infancy and body mass index (BMI) in the first grade of primary school. A generalized linear model was employed to analyze the relationship between birth weight and growth patterns during infancy and overweight and obesity in the first grade of primary school. A hierarchical analysis was conducted. Results: A linear relationship was observed between growth patterns during infancy and BMI and the BMI Z score of first grade primary school pupils [ β(β 95%CI)=0.30(0.24-0.35),0.12(0.10- 0.15 ), P <0.01]. In addition to subjects classified as small for gestational age (SGA), catch up growth during infancy was identified among subjects who were classified as appropriate for gestational age (AGA) and large for gestational age (LGA). LGA at birth and catch up growth during infancy were independent risk factors for overweight and obesity among first grade primary school children ( RR =1.31-1.55, P <0.05). The hierarchical analysis showed that catch up growth increased the risk of overweight and obesity among first grade primary school pupils classified as AGA [ RR(RR 95%CI )=1.74(1.42-2.14),1.87(1.56-2.26)], and increased the risk of obesity among first grade primary school pupils classified as SGA and LGA [ RR(RR 95%CI )=3.74(1.04-13.49),3.24(1.62-6.46)]( P <0.05). Among those who exhibited catch up growth during infancy, LGA increased the risk of obesity among first grade primary school pupils ( RR= 2.60 , 95%CI=1.35-5.02, P <0.01), but not the risk of being overweight ( P =0.13). Conclusion Birth weight and growth patterns during infancy have an impact on overweight and obesity among children in the first grade of primary school. It is suggested that attention should be paid to growth and physical development in early life for those classified as LGA and AGA, and catch up growth in children should be closely monitored.

Objective:To explore the distribution of different subsets of monocyte in peripheral blood of patients with thyroid-associated ophthalmopathy (TAO).Methods:A cross-sectional study was performed.Fifty-nine TAO patients and 30 healthy subjects were recruited continuously in Zhongshan Ophthalmic Center from January 2017 to December 2019.Clinical data of subjects were recorded, and the severity and activity of TAO were graded based on the criteria of NOSPECS and CAS.TAO patients were grouped according to clinical activity of TAO, and the patients were treated by triamcinolone acetonide (TA) injection or methylprednisolone pulse therapy (MPT) accordingly.Peripheral blood of the subjects was collected and monocytes were isolated.The proportion of different monocyte subsets was assayed by a flow cytometry.The differences in distribution of monocyte subsets between TAO group and normal control group, stable TAO group and active TAO group, TA injected group and MPT treated group were compared and analyzed.The study protocol was approved by the Ethics Committee of Zhongshan Ophthalmic Center, Sun Yat-Sen University (No.2014MEKY005), and the written informed consent was obtained from each subject before any medical intervention.Results:The proportion of classical monocyte (CMo) subset in TAO group was (81.77%±5.53)%, which was significantly lower than (84.35±5.83)% in the normal control group ( P=0.034); the proportion of intermediate monocyte (IMo) subset in the TAO group was (10.17±4.19)%, which was significantly higher than (7.69±4.09)% in the normal control group ( P=0.006); no significant difference was found in the proportion of non-classical monocyte (NMo) subset between the two groups ( P=0.892). The proportion of CMo subset in the active TAO group was (77.29±5.80)%, which was significantly lower than (82.64±5.03)% in the stable TAO group ( P<0.01), and the proportion of IMo subset in the active TAO group was (13.79±4.82)%, which was significantly higher than (9.20±3.56)% in the stable TAO group ( P<0.01); no significant change was found in the proportion of NMo subset between the two groups ( P=0.283). There was no difference in the proportion of different TAO subsets before and after TA injection ( P>0.05). In MPT treated group, the proportion of CMo subset in TAO patients was significantly increased and the proportion of IMo subset was significantly decreased (both at P<0.05); there was no significant difference in proportion of NMo subset before and after MPT treatment ( P=0.187). Conclusions:IMo subset is enriched in patients with TAO, and the IMo subset content varies over the disease activity.MPT may inhibit the shift of CMo subset towards IMo subset.

Objective:To evaluate the association between the efficacy and safety of metformin and the influence of variants in SLC47A1 rs2289669 G>A polymorphism in the treatment of systemic lupus erythematosus (SLE).Methods:A multicenter, randomized, double-blind, placebo-controlled trial was conducted. Patients were consented at enrollment for blood donation for genotyping, and their peripheral blood were used to detect the distribution frequency of SLC47A1 mutations. The major or mild/moderate flares defined by modified safety lupus erythematosus national assessment (SELENA)-systemic lupus erythematosus disease activity index (SLEDAI) Flare Index (SFI) and adverse events were recorded at 12 months of follow-up. The correlation between efficacy/safety and genotype was analyzed. Student's t test and χ2 test was used to assess the continuous variables and categorical variables. Results:Between May 24, 2016, and Dec 13, 2017, a total of 31 patients in the metformin group and 35 in the placebo group were detected. There were no statistical significant differences in the clinical manifestations, SELENA-SLEDAI scores, and therapy of the participants at baseline. There was no significant difference in the frequency of AA genotype, GA genotype, and GG genotype of SLC47A1 rs2289669 distribution between the metformin group and the placebo group. In the metformin group, patients who flared had a lower frequency of A alleles than those non-flared [25%(4/16) vs 61%(28/46), χ2=6.116, P=0.019 8]; the flare rate was significantly lower in patients with AA genotype than in GG genotype [0%(0/8) vs 57%(4/7), χ2=6.234, P=0.012 5]. The infection rate was lower in the metformin group than that in the placebo group [38%(12/31) vs 69%(24/35), χ2=5.913, P=0.015 0], but there was no significant difference among different genotypes in the metformin group. Compared to GG geno-type, AA genotype showed a trend of decrease in infection rate[38%(3/8) vs 72%(5/7), χ2=1.727, P=0.188 8]. Conclusion:Metformin has a favorable safety profile and may reduce the frequency of flares in SLE patients with low-grade lupus disease activity. The metformin therapeutic efficacy in SLE is relevant to the SLC47A1 gene polymorphism. Patients of the AA genotype may benefit most from metformin than those of the GG and GA genotypes.

Objective:To explore the association between socioeconomic status (SES) and overweight/obesity in Yi people in Sichuan province.Methods:A cross-sectional study was conducted in Liangshan Yi Autonomous Prefecture in 2015. Stratified cluster sampling method was used to enroll Yi farmers and rural-to-urban Yi migrants aged 20-80 years. SES was measured by education level, personal annual income, and compound SES index. Unconditional logistic regression models were used to determine the association between SES and overweight/obesity (BMI≥24.0 kg/m 2). Results:1 894 Yi farmers and 1 162 rural-to urban migrants were included in the analysis. After adjustment for age, smoking, drinking and physical activity, compared with illiteracy, OR for farmer males with higher education level (primary or junior school, senior high school or higher) were 1.71 (95 %CI: 1.13-2.58) and 4.15 (95 %CI: 2.10-8.22). Compared with lower income group (<5 000 CNY/y), the higher income group had increased risk ( OR=1.66, 95 %CI: 1.12-2.44). For farmer males with medium and high SES level, the risk of overweight/obesity were 1.65 (95 %CI: 1.02-2.67) and 3.26 (95 %CI: 1.97-5.42) compared with low level of SES. For farmer females, the risk increased with the higher income, with OR as 1.49 (95 %CI: 1.10-2.02). Compared with low SES level, farmer females with medium level of SES was associated with 1.47 (95 %CI: 1.11-1.95) times higher risk of overweight/obesity. In Yi migrants, the association between SES and overweight/obesity was not found. Conclusion:Socioeconomic status was positively associated with overweight/obesity only in Yi farmers.