ObjectiveTo systematically evaluate the detection rate of postpartum depression in Chinese maternal population and to provide a scientific basis for the prevention and treatment of postpartum depression.MethodsWe searched CNKI, WanFang Data, VIP, PubMed, EMbase and The Cochrane Library databases to collect studies on the detection rate of postpartum depression in Chinese maternal population from January, 2001 to August, 2019. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of included studies. Meta-analysis was performed using Stata15.0 software.ResultsA total of 24 studies involving 38 357 cases were included. Meta-analysis results showed that the total detection of postpartum depression in Chinese females was 15% (95% CI 12% to 17%). Subgroup analysis showed that the detection of postpartum depression was 12.3% (95% CI 9.3% to 15.2%) in the south and 17.3% (95%CI 12.1% to 22.5%) in the north. According to the Edinburgh postpartum depression scale, the rate was 14.5% (95%CI 11.4% to 17.5%); and for other scales, the rate was 15.0% (95% CI 8.9% to 21.2%); simple random sampling method was 14.8% (95%CI 11.0% to 18.7%), and cluster sampling was 16.3% (95%CI 12.0% to 20.5%). The rate was 15.8% (95%CI 9.3% to 22.3%) from 2001 to 2010, 13.5% (95%CI 7.7% to 19.2%) from 2011 to 2014, and 14.8% (95%CI 10.9% to 18.6%) from 2015 to 2019. Sensitivity analysis showed that the combined results were stable.ConclusionsThe detection rate of postpartum depression in Chinese maternal population is high, and early screening and related intervention should be paid more attention to these population.
ObjectiveTo systematically review the disease burden of pneumoconiosis in Chinese population so as to provide references for health resources allocation and health policy making.MethodsDatabases including PubMed, EBSCO, Web of Science, CNKI, WanFang Data and VIP databases were searched for studies on investigation of the disease burden of pneumoconiosis in Chinese population from inception to 31st January, 2020. Two reviewers independently screened literature, exacted data, and assessed risk of bias of included studies. Systematic review was performed on data of pneumoconiosis associated population, mortality, and disease burden.ResultsA total of 26 studies were included. Qualitative analysis showed that the decrease of DALY and YLL of pneumoconiosis in China had been lower than that in globally, and the increase of YLD had been higher than that in globally in recent 10 years. 14 factors were included in the analysis of influencing factors on the financial burden or hospitalization expenses of pneumoconiosis patients; among them, the length of hospitalization, related complications, and pneumoconiosis stage were the most important indexes which had influence or difference on patients’ financial burden (or hospitalization expenses). The burden of pneumoconiosis in the Chinese population was primarily concentrated on males. Occupational diseases caused most of them, and middle-aged and older adults were the primary population for pneumoconiosis. However, young patients due to early-onset age, long course of disease and complications, and other factors resulting in a larger YLD phenomenon should also be considered.ConclusionsThe disease burden of pneumoconiosis patients in China is still heavy. It is recommended to continue to reduce the DALY of pneumoconiosis among the Chinese population as a long-term goal, and to strengthen control strategies to curb the early onset and death of pneumoconiosis.
Objectives To systematically review the prevalence of sleep disorders in Chinese elderly population. Methods CNKI, Wanfang, VIP, PubMed and Web of Science were searched to collect studies on the prevalence of sleep disorders the Chinese elderly from January 2000 to November 2017. Two reviewers independently screened literatures, extracted data and evaluated risk of bias of the included studies, then meta-analysis was performed by Stata 14.0 software. Results A total of 19 cross-sectional studies were included. The results of the meta-analysis showed that, the overall prevalence of sleep disorders was 41.2% (95% CI 36.2% to 46.2%). Male and female prevalence rates were 35.7% and 45.0%, respectively. For individuals aged between 60 to 70, 70 to 80 and above 80, the prevalence rates were 29.9%, 42.0%, 44.2%, respectively. For individuals with primary school education and below, junior/high school education, college degree or above, the prevalence rates were 29.0%, 23.1%, 22.4%, respectively. The prevalence rate of individuals with normal marital status was 31.5%, and those with abnormal marital status (widowed, divorced, single, etc.) was 41.0%. The prevalence rate in individuals with in people with physical illness was 45.7%, and those without physical illness was 32.4%. For the urban population, the prevalence rate was 36.4%, while for the rural population, the prevalence rate was 42%. Conclusions The overall prevalence of sleep disorders in the Chinese elderly is high. The prevalence rate of sleep disorders among gender, age, educational level, marital status, physical illness, and living space is different.
Objective To systematically review the epidemic trend and disease burden of ischemic stroke in the Chinese population and to provide references for formulating reasonable prevention and treatment measures and allocating health resources. Methods Based on Global Burden of Disease (GBD) data, we analyzed the morbidity, mortality, disability-adjusted life year (DALY) and normalized rates for ischemic stroke in China from 1990 to 2019 and evaluated the changes in the disease burden by sex and age group. Meanwhile, joinpoint regression model was constructed to analyze the time trend change in each stage during the study period. Results Compared with 1990, the incidence, mortality and DALY rate of ischemic stroke in China increased by 171.68%, 125.60% and 98.60% in 2019, among which the incidence, mortality and DALY rate of males increased by 184.29%, 148.96% and 115.16%, respectively; the morbidity, mortality and DALY rates of females increased by 160.9%, 101.32% and 81.44%, respectively. The age-standardized incidence increased by 34.70%, while the age-standardized mortality and age-standardized DALY rate decreased by 3.33% and 4.02%, respectively; the age-standardized incidence, mortality and DALY rates of males increased by 39.52%, 8.03% and 3.68%, respectively; the age-standardized incidence rate of females increased by 31.40%, while the age-standardized mortality rate and age-standardized DALY rate decreased by 14.02% and 11.53%, respectively. In 2019, both the mortality rate and DALY rate due to ischemic stroke increased with age, and the highest rate was found in the population over 85 years old. Males over 60 years old were significantly than females. In the 55-84 age group, the incidence of ischemic stroke in females was higher than that in males, while in the 85 and above age group, the incidence of ischemic stroke in females was lower than that in males. The AAPC of age-standardized incidence, age-standardized mortality, and age-standardized DALY rates due to ischemic stroke from 1990 to 2019 were 1.06% (95%CI 1.00% to 1.11%), 0.01% (95%CI −0.45% to 0.48%) and −0.16% (95%CI −0.53% to 0.22%), respectively. All indicators of the AAPC for males were higher than those for females. ConclusionThe curvent age-standardized mortality and DALY rate of ischemic stroke in China have decreased slightly compared with 1990. The crude mortality, morbidity and disease burden have significantly increased. All indicators of the AAPC for males were higher than those for females. To reduce the epidemic trend and disease burden of ischemic stroke, reasonable prevention and treatment measures and rational allocation of health resources should be made according to sex and age.
Objective To understand the quality of life of patients with acute mild to moderate ischemic stroke one year after the stroke, analyze the factors affecting their quality of life, and provide a scientific basis for improving their health-related quality of life. Methods This study included patients diagnosed with acute mild to moderate ischemic stroke between March 2019 and March 2021 in four hospitals in Nanchang. Sociodemographic information and relevant clinical data were collected during hospitalization. The EQ-5D-5L questionnaire was administered to assess health-related quality of life one year after discharge. The Mann-Whitney U test (for two groups) and Kruskal-Wallis one-way ANOVA (for multiple groups) were used to analyze differences in utility scores among various factors. A Tobit regression model was built to investigate the factors influencing quality of life one-year post-stroke. Results A total of 1 181 patients participated in the study, including 791 males (66.98%) and 390 females (33.02%), with an average age of 63.7±10.9 years. Health-related quality of life data collected one year after the stroke revealed that 22.69% of patients experienced pain/discomfort, 17.27% suffered anxiety/depression, 15.66% had mobility issues, 10.33% had difficulties with daily activities, and 8.64% had trouble with self-care. Tobit regression results showed that age (β=−0.263, 95%CI −0.327 to −0.198), gender (β=−0.134, 95%CI −0.189 to −0.080), previous hypertension (β=−0.068, 95%CI −0.120 to −0.016), previous dyslipidemia (β=−0.068, 95%CI −0.126 to −0.011), admission NIHSS score (β=−0.158, 95%CI −0.198 to −0.118), and discharge mRS score (β=−0.193, 95%CI −0.250 to −0.136) were negatively associated with health utility values. Current employment status (β=0.141, 95%CI 0.102 to 0.181) and admission GCS score (β=0.209, 95%CI 0.142 to 0.276) were positively correlated with health utility values. Conclusion One year after an acute mild to moderate ischemic stroke, patients commonly face pain/discomfort and anxiety/depression. Factors affecting overall quality of life include age, gender, current employment status, previous hypertension, previous dyslipidemia, admission NIHSS score, admission GCS score, and discharge mRS score. Clinically, developing scientifically sound and reasonable rehabilitation plans post-discharge is crucial for improving long-term quality of life.
This study introduced the construction of individualized risk assessment model based on Bayesian networks, comparing with traditional regression-based logistic models using practical examples. It evaluates the model's performance and demonstrates its implementation in the R software, serving as a valuable reference for researchers seeking to understand and utilize Bayesian network models.