Global, regional, and national burden of depressive disorders among young people aged 10-24 years, 2010-2019.

OBJECTIVE: To describe the latest disease burden, temporal trends, and risk factors of depressive disorders among young people. METHODS: Data from the Global Burden of Disease Study 2019 was utilized to analyze depressive disorders among individuals aged 10-24 years. The study focused on describing the incidence, prevalence, disability-adjusted life years (DALYs), and their attributable risk factors across 204 countries and territories from 2010 to 2019. The estimated annual percentage change (EAPC) was calculated to quantify the temporal trends. RESULTS: Globally, the incidence, prevalence, and DALYs rate of depressive disorders per 100 000 young people increased from 3003.01, 2445.69, and 448.61 in 2010 to 3035.26, 2470.67, and 452.58 in 2019, indicating a slight upward trend (EAPC = 0.11 for incidence and prevalence; EAPC = 0.09 for DALYs rate). Notably, the percentage of DALYs of depressive disorders among young people increased substantially from 3.24% in 2010 to 3.66% in 2019, an increase of 13.06% (EAPC = 1.26, 95%CI: 1.08-1.44), and the burden of depressive disorders among young people rose from fouth to second in females, and from tenth to fifth in males. Social demographic index (SDI) and other indicators were positively correlated with the percentage of DALYs of depressive disorder and negatively correlated with the EAPC of DALYs. CONCLUSION: The global burden of depressive disorders among young people is on the rise. The regional differences in depressive disorders among young people suggest the need for enhanced screening efforts in low-SDI areas, along with the adoption of more effective prevention and control measures.

Global, regional, and national burden of ambient and household PM2.5-related neonatal disorders, 1990-2019.

Previous studies have shown a relationship between fine particulate matter (PM2.5) exposure and an increased risk of neonatal disorders. Considering the huge burden of neonatal disorders, we assessed spatiotemporal trends of neonatal disorders burden caused by ambient and household PM2.5 at the global, regional, and national levels from 1990 to 2019. The number, rate, and population attributable fraction (PAF) of ambient and household PM2.5-related neonatal disorders disability-adjusted life years (DALYs) in 204 countries and territories from 1990 to 2019 were obtained from the Global Burden of Disease Study 2019 to measure the related neonatal disorders burden by age, sex, subtype, and region. Estimated annual percentage change (EAPC) was estimated to quantify temporal trends. In 2019, approximately a fifth of the global neonatal disorders burden was attributable to PM2.5 exposure, with 7.54% for ambient PM2.5 and 13.23% for household PM2.5. Although the global neonatal disorders burden attributable to household PM2.5 has decreased substantially in the past 30 years, that attributable to ambient PM2.5 has increased, especially in lower sociodemographic index (SDI) regions. The highest rate and PAF of ambient PM2.5-related neonatal disorders DALYs in 2019 were in South Asia and East Asia, respectively, and the fastest increases were in Eastern Sub-Saharan Africa (for rate: EAPC = 2.55, 95% CI: 2.37-2.73) and South Asia (for PAF: EAPC = 3.88, 95% CI: 3.68-4.08). In addition, we found an inverted V-shaped between rates and PAFs of ambient PM2.5-related neonatal disorders DALYs in 2019, as well as corresponding EAPCs, and SDI, while rates and PAFs of household PM2.5-related neonatal disorders DALYs in 2019 were highly negatively correlated with SDI. In the past three decades, the global ambient PM2.5-related neonatal disorders burden largely increased, especially in lower SDI regions. Comparatively, the household PM2.5-related neonatal disorders burden decreased but still accounted for about two-thirds of the PM2.5-related neonatal disease burden.

Effects of incentive-based population policies on sustainability of China's recent maternity insurance system reform: a system dynamics simulation.

BACKGROUND: This paper seeks to assess the sustainability of the reformed maternity insurance system and the extent to which China's current maternity insurance system can support different levels of fertility incentives in the future. Our findings will serve as a reference for countries in a similar demographic predicament and those about to face it. METHODS: This study used a combination of qualitative and quantitative methods. In the qualitative assessment, we used a grounded theory model to generalize the factors influencing the sustainability of maternity insurance funds. For the quantitative analysis, we used a novel and comprehensive system dynamics model to visualize the status of the combined operation of maternity and health insurance. Data are mainly derived from the historical data of the Statistical Yearbook of Jiangsu Province and the National Bureau of Statistics of China. RESULTS: In the short term, fertility incentive payments can be set to motivate people to have children. It is therefore recommended that when the scope of the fertility incentive policy is limited to two children, and an average amount above RMB 10 000 could be set, it would be prudent to set the amount at a level not exceeding RMB 10 000 when the scope of the fertility incentive policy is for all newborns. In the long term, a system of incentives for childbirth should be built from education policy, house price regulation, tax relief and childcare services. CONCLUSION: Our research not only highlights the significance of improving the resilience of maternity insurance by combining maternity insurance and health insurance funds, but also suggests a way to economically incentivize beneficiaries to have children so as to mitigate the decline in China's birth rate and cope with the crisis of an ageing population.

Cross-sectional study on influence of the family environment on the lifetime non-medical use of prescription drugs among Chinese adolescents in Guangdong: an analysis of sex differences.

OBJECTIVES: This study aimed to assess if adolescents had used any prescription drugs non-medically, to explore the associations between the family environment and non-medical use of prescription drugs (NMUPD) and to investigate whether there are any sex differences in the aforementioned associations. DESIGN: A population-based cross-sectional study. SETTING: A secondary analysis of the cross-sectional data collected from high school students in Guangdong who were sampled using a multistage, stratified-cluster, random-sampling method in the 2015 School-based Chinese Adolescents Health Survey. PARTICIPANTS: A total of 21 774 students aged 12-20 years. DATA ANALYSIS: Multilevel logistic regression models were used to explore the univariable and multivariable relationship between family environment and NMUPD among adolescents. Adjusted ORs and corresponding 95% CI were calculated. OUTCOME MEASURES: Questions regarding to adolescent' NMUPD (including sedative, opioid and stimulant) were surveyed in the study. RESULTS: A total of 6.3% students reported lifetime NMUPD in this study. The most commonly used drugs were opioids (3.9%), followed by sedatives (3.2%) and stimulants (2.5%). Multilevel analyses indicated that living arrangements, family economic status, parental relationships, parental education levels, monthly pocket money, parental drinking and drug problems were significantly correlated to the NMUPD among all students. Among boys, living arrangements, family economic status, maternal education levels, monthly pocket money, parental drinking and drug problems were significantly related to different types of NMUPD. The same factors were related to girls' NMUPD, except for maternal education levels. Parental relationships and paternal education levels were also associated with girls' NMUPD. CONCLUSION: The family environment exerts an important influence on adolescents' NMUPD. Interventions targeted at families are highly recommended considering the negative effects of NMUPD. In addition, the child's sex might be taken into consideration when developing and implementing preventive strategies.