To explore the bidirectional association between metabolic syndrome(MS) and depression in middle-aged and elderly adults in China.

This study used participants aged 45 and above from publicly available longitudinal data from the China Health and Retirement Longitudinal Study(CHARLS) from 2011 to 2018. The baseline was based on 2011 data. Stage I studied the longitudinal association of baseline MS with follow-up depression, while Stage II studied the association of baseline depression with follow-up MS. Stage III further investigated the bidirectional association between MS and depression using a cross-lagged panel model, and the follow-up data for all three stages used 2015 data including blood routine examination and physical examinations.

There was a bidirectional association between the two diseases. The baseline MS and its components showed a positive correlation with the follow-up depression(β=0.052, P<0.01), and vice versa(β=0.305, P<0.01), but there were differences in gender subgroups.

There is a bidirectional correlation between MS and its components and depression in the middle-aged and elderly population in China. We should identify, monitor, and intervene in early MS and depression.

To study the relationship between the cardiometabolic index (CMI) and hyperuricemia (HUA) in Guizhou minorities.

Based on the "China Multi-ethnic Cohort Study", 16 630 Miao, Dong and Bouyei population aged 30 to 79 years were included in the study. Logistic regression model was used to analyze the association between CMI and HUA, restricted cubic spline was used to analyze the dose-response relationship between CMI and HUA, and ROC curve was used to analyze the predictive value of CMI for HUA.

The overall detection rate of HUA was 22.8%, and those of Miao, Dong and Bouyei nationalities were 24.4%, 25.2% and 18.5%, respectively. In the total population, Miao, Dong and Bouyei populations, after adjusting for covariates, compared with Q1, the ORs for HUA were 4.39 (95%CI: 3.76-5.12), 3.96 (95%CI: 3.03-5.18), 4.28 (95%CI: 3.36-5.46), and 5.55 (95%CI: 4.08-7.54) in CMI Q4 group, respectively. There was a non-linear dose-response relationship between CMI and risk of HUA (P for nonlinear < 0.001). ROC curve analysis showed that, the area under the curve (the best cut-off value, sensitivity and specificity) of CMI for predicting the risk of HUA in the total population, Miao, Dong and Bouyei populations were 0.742 (0.641, 68.3%,68.8%), 0.724 (0.651, 63.8%, 70.8%) 0.741 (0.654, 68.5%, 68.1%), 0.775 (0.555, 68.8%, 73.0%).

CMI is associated with the increased risk of HUA in different ethnic populations, and can be used as an indicator for predicting HUA in ethnic minority populations in Guizhou province.

To explore the prevalence and influencing factors of depression among the elderly in rural areas of Sichuan Province.

By using the method of multi-stage sampling, a questionnaire survey was conducted among 606 rural elderly persons in Sichuan from July to August, 2022. Chi-square test and multivariate logistic regression analysis were used to explore the influencing factors of depression.

The average score of depression in the rural elderly was (3.79± 3.21) points, 85 people had depressive symptoms, and the prevalence rate of depressive symptoms was 14.0%. Multivariate logistic regression analysis showed that not seeking medical treatment due to economic difficulties in the past year (OR=10.140, 95%CI: 3.347-30.716), hospitalization in the past year (OR=5.229, 95%CI: 2.789-9.801), self-rated health fair or below( poor self-rated health: OR=20.301, 95%CI: 7.666-53.761; fair self-rated health: OR=5.912, 95%CI: 2.729-12.807) and childless (OR=8.495, 95%CI: 1.747-41.313) were risk factors for depressive symptoms in the rural elderly (P<0.05). Living with a spouse (OR=0.321, 95%CI: 0.116-0.888) and high social support (OR=0.505, 95%CI: 0.260-0.982) were protective factors for depressive symptoms in rural elderly (P<0.05).

The depression situation of the elderly in rural areas of Sichuan Province is worrying, which needs to be paid special attention and early intervention, especially for the rural elderly with economic difficulties, poor health status, no children or living alone.

To explore the minimum clinically important difference (MCID) of peptic ulcer scale QLICD-PU (V2.0) among the System of quality of life instruments for chronic diseases.

Using convenience sampling, the questionnaire was administered from March 2013 to August 2014 using the QLICD-PU (V2.0) scale, and the MCIDs were calculatedusing the anchor-based and distribution-based methods, respectively, and analyzed to compare the MCIDs developed by taking the mean, taking the minimum, and taking the maximum methods.

The MCIDs of physical functioning (8.53), psychological functioning (8.45), social functioning (7.61), general module (7.05), specific module (8.82), and overall scale (7.53) obtained by taking the mean method; the MCIDs obtained by taking the minimum method were 5.25, 5.78, 6.16, 4.19, 7.18 and 4.09, respectively; the MCID obtained by taking the maximum method were 11.99, 12.05, 10.09, 9.48, 10.99 and 11.04, respectively.

In this paper, MCID was formulated by using various methods and criteria, which can be chosen by the users according to the situation. MCID can be used to assess the clinical efficacy of patients with peptic ulcers for the application of quality of life. The MCID values formulated can be validated further by clinical practice in subsequent studies.

To understand the prevalence and trend incidence of neural tube defects (NTDs) in Chongqing from 2007 to 2022, and to provide evidence for comprehensive prevention and control measures.

Based on hospital monitoring data, 185 children with NTDs monitored by all birth defects monitoring institutions in Chongqing City from January 2007 to December 2022 were included in the study. They were grouped by year, perinatal gender, maternal permanent residence (urban/rural), maternal age, different regions, and other categories. Chisquare test was used to analyze the differences in the incidence of severe multiple disabling birth defects in different categories, and linear trend test and Joinpoint regression model were used to analyze the change trend.

From 2007 to 2022, a total of 1 316 934 perinatal births and 185 NTDs were monitored in Chongqing, with an incidence of 1.40/10,000, it was 0.36/10 000(0.00/10 000-2.45/10 000), 0.81/10 000(0.39/10 000-2.42/10 000) and 0.26/10 000(0.00/10 000-2.45/10 000) for anencephaly, spina bifidaand encephalocele respectively. The incidence in rural areas was higher than in urban areas (χ²=11.38, P<0.001). The total incidence of mothers of different age was statistical (χ²=81.71, P<0.001). The annual incidence of NTDs decreased by 84.64% from 2.93/10,000 to 0.45/10,000 during this period. There was a gentle decline from 2007 to 2019 (APC=-10.85) and a rapid decline from 2019 to 2022 (APC=-31.20).

Annual incidence of NTDs in Chongqing was decreasing over the year. NTDs is prevalent at a low level in Chongqing.

To explore the association between metabolic score of insulin resistance (METS-IR) and the risk of Cardiometabolic multimorbidity (CMM) in middle-aged and elderly Chinese.

A population-based cohort study was conducted using data from the China Longitudinal Study of Health and Aging (CHARLS) among Chinese residents aged 45 years or older from 2011 to 2018. Cox proportional hazards regression models were used to calculate Hazard Ratio (HR) and 95% confidence intervals (CI) for the association between METS-IR and new CMM, and stratified analyses were performed in different populations to observe the interaction between covariates and METS-IR. The dose-response relationship between METS-IR and new CMM in different body weight population was observed with restricted cubic spline. Receiver operating characteristic (ROC) curve was constructed to analyze the value of METS-IR in predicting the risk of CMM.

A total of 5 349 subjects were included in this study, and the incidence of CMM was 2.08%. After adjusting for all included covariates, METS-IR as a continuous variable was positively correlated with the risk of CMM (HR: 1.07, 95%CI: 1.05-1.09, P<0.001). As a categorical variable, the highest METS-IR group was still positively associated with the risk of CMM (HR: 3.47, 95%CI: 2.06-5.84, P<0.001). In total participants (P for overall <0.001), normal weight (P for overall = 0.022) and overweight and obese (P for overall = 0.008) populations still had a linear relationship between MET-IR and CMM risk. METS-IR was predictive of CMM risk (AUC: 0.651, 95%CI: 0.598-0.704).

The study finds that METS-IR is positively associated with an increased risk of new CMM in middle-aged and older adults and should be of continued concern in both normal weight and overweight obese people to reduce the risk of CMM.

To investigate the quality of statistical reporting in publications from general medical journals and analyze the influencing factors.

A random sample of 480 original research articles published in 2010 and 2020 was selected from two Medline journals and six Chinese core journals in the field of medicine and health. The quality of statistical reporting was evaluated using a self-developed checklist based on the SAMPL guidelines, ICMJE recommendations, CONSORT, STROBE, and other relevant standards, followed by an analysis of influencing factors.

The overall quality score for statistical reporting in the surveyed general medical journals was 40.0±8.6. The scores for different statistical aspects were as follows: statistical design (43.2±6.8), statistical description (67.0±24.3), t-test (23.6±17.5), ANOVA (26.8±17.2), chi-square test (24.2±13.7), rank-sum test (45.5±18.4), correlation analysis (41.9±13.2), regression analysis (40.5±14.8), and survival analysis (45.6±14.9). Univariate analysis indicated that the overall quality score for statistical reporting in articles published in 2020 was higher than that in 2010 (35.8±7.4 vs. 44.3±7.5, t=-12.510, P<0.001). Multilevel modeling showed that the indexing system, research field, and publication year were the main factors influencing the overall score. Compared to Medline-indexed journals, the overall scores were lower for Chinese core journals. Articles focusing on non-human subjects had lower scores compared to those involving human subjects. Additionally, the overall scores for articles published in 2020 were higher than those in 2010.

The quality of statistical reporting in general medical journals in China has improved over the past decade, but there remains substantial room for further improvement. It is recommended to enhance the promotion of relevant reporting standards.

To construct a postpartum depression risk prediction model for multi-ethnic population in Yunnan Province of China, and identify predictive factors.

Women who were 42 days and within 1 year after childbirth were screened, and the Edinburgh Postnatal Depression Scale (EPDS≥9) was used for postpartum depression. 52 influencing factors from economics, social psychology, obstetrics, neonatology, spouse and family dynamics and other characteristics were included in the survey. A random forest algorithm was employed to construct a predictive model for postnatal depression risk in the multi-ethnic population of Yunnan Province. The model was evaluated on test sets with accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and the area under the receiver operating characteristic curve (Area Under Curve, AUC) to assess its performance.

A total of 459 women were analyzed, with a postpartum depression detection rate of 11.55%. Among them, the detection rates for Han, Zhuang and other ethnic minorities were 7.56%, 13.94% and 13.92%, respectively. The top 14 variables in terms of importance scores were: anxiety, history of previous negative emotions, marital relationship, family support level, physical and mental exhaustion in caring for newborns, pregnancy risk classification, mother-infant rooming-in, feeding mode, education level, spouse’s education level, frequency of nighttime newborn care, ethnicity, parity and age. The accuracy was 92.74%, specificity was 95.50%, sensitivity was 69.23%, positive predictive value was 64.29%, negative predictive value was 96.36%, and the AUC value was 0.925, using Han, Zhuang, and other ethnic minorities as validation sets respectively. The model also demonstrated good stability.

The random forest algorithm-based postpartum depression risk prediction model for the multi-ethnic population in Yunnan performed well, which can be utilized to predict risk factors for postpartum depression among women in minority ethnic areas, thereby facilitating targeted intervention measures.

To explore the impact of passive smoking during pregnancy on neurobehavioral developmental abnormalities in 1-year-old children.

1 363 pairs of mothers and children from the Shenzhen birth Cohort study platform were selected as the research objects. Questionnaire was used to investigate the general demography characteristics and passive smoking of pregnant women during pregnancy, and the age and development process questionnaire (ASQ-3/ASQ: SE) was used to assess the neurobehavioral development of children at one year old. Analyze the impact of passive smoking during pregnancy on neurobehavioral developmental abnormalities in 1-year-old children using a logistic regression model.

Passive smoking during pregnancy had varying degrees of harmful effects on the development of 1-year-old children, except for gross movements. Compared with those without passive smoking, pregnant women with severe passive smoking in early pregnancy had an increased risk of delayed development in communication (OR=1.932, 95%CI: 1.023-3.648), fine motor skills (OR=3.388, 95%CI: 1.232-9.317), problem-solving (OR=3.270, 95%CI: 1.317-7.795), and social emotional development (OR=1.792, 95%CI: 1.159-2.772) among their offspring. In mid-pregnancy, pregnant women who smoke passively had an increased risk of delayed development in communication (OR=1.802, 95%CI: 1.068-3.039) and personal social (OR=1.705, 95%CI: 1.080-2.837) among their offspring, while pregnant women who smoke heavily had an increased risk of delayed development in communication (OR=2.864, 95%CI: 1.322-6.240) and social emotional (OR=1.882, 95%CI: 1.081-3.275) among their offspring. In late pregnancy, pregnant women with severe passive smoking had an increased risk of delayed communication (OR=3.415, 95%CI: 1.366-3.158), fine motor skills (OR=3.976 times, 95%CI: 1.838-13.360), and social emotional development (OR=2.231, 95%CI: 1.234-4.032) in their offspring.

Passive smoking in the early, middle, and late stages of pregnancy can have varying degrees of harmful effects on the neurobehavioral development of offspring at one year old. Suggest relevant departments to increase publicity and education efforts, guide the public to reduce indoor smoking and pay attention to maternal health and early neurobehavioral development in children.