As a country with the second largest child population in the world, China has little population-level evidence on who has been left behind in early childhood development (ECD). Knowledge of inequalities in ECD will inform the Chinese government in policies on promoting ECD and guide global-level monitoring on ECD progress. Using data from the first wave of ECD surveys conducted in China at the least-developed region, most-developed region, and a megacity (Shanghai) in 2017 and 2018, we measured population-level ECD with early Human Capability Index for a total of 63,559 children aged 36-59 months old. A child was classified as developmentally on track if his/her overall development score was above the 20^th percentile of the pooled populations. We measured inequalities in ECD with the absolute inequality in five domains: gender/sex, family income, maternal schooling, residential Hukou, and migrant- or left-behind status. Besides observed inequalities, we used a multilevel logistic regression model to generate adjusted inequalities. Children developmentally on track ranges from 71% (95% CI 70 to 72%) in the least-developed region, 82% (95% CI 81 to 83%) in the most-developed region, and 86% (95% CI 85 to 87%) in Shanghai. Significant unadjusted inequalities in ECD were observed in all five dimensions. After controlling for other socioeconomic factors, significant differences remained in three dimensions: those living in the poorest families, or with lower maternal schooling, or boys were less likely to be developmentally on track than their counterparts (lower by 10[95% CI 8 to 11]-15[95% CI 13 to 17], 7[95% CI 5 to 10]-10[95% CI 7 to 12], and 5[95% CI 4 to 6]-6[95% CI 5 to 8] percentage points respectively). Efforts of reducing ECD inequalities in China shall focus primarily on reducing poverty and improving maternal education. National Natural Science Foundation of China (81773443), Shanghai Committee of Science and Technology (2018SHZDZX05), Shanghai Municipal Health Commission (GWV-10.1-XK07; GDEK201708), Shanghai Education Committee, Chinese Social Science Foundation (BFA140046), Macao Tong Chai Charity Association, Beijing Sany Charitable Foundation, China Medical Board (#20-388), UNICEF, Faculty Grant of Brigham & Women's Hospital, Economic and Social Research Council [grant reference number ES/T003936/1’] as a UKRI Collective Fund Award “UKRI GCRF Harnessing the Power of Global Data to Support Young Children's Learning and Development Collaborative."

Exposure to adverse childhood experiences (ACEs) is a global public health concern that is detrimental to the psychological outcomes of Chinese children in rural areas due to the lack of public awareness of ACEs and mental health resources. The objective of this study was to identify the patterns of ACEs and the impact of ACE patterns on depression and suicidal ideation among 4683 students (mean age = 10.08 years, SD = 0.99; 48.17% female students) from 63 elementary schools in rural areas in Guizhou Province, China. Latent class analysis was conducted to identify the best class pattern. A three-step approach was undertaken to explore the association between the class patterns and demographic covariates and depression and suicidal thoughts. An overall three-class pattern of ACEs was identified, which was: (1) high ACEs, (2) high verbal abuse and emotional neglect and low household dysfunction, and (3) low ACEs. The results also showed that children in the high ACEs class tended to show higher depression rates and more frequent suicidal ideation across the three groups. Being female and younger and having a lower socioeconomic status were risk factors. Our study identified a class pattern that was not found in previous research, which is high verbal abuse and emotional neglect and low household dysfunction.

Background Providing young children with universal access to preprimary education (PPE) is considered a powerful tool for human capital development and eliminating the intergenerational transmission of poverty. To remove household financial barrier for achieving universal PPE, this study proposed a measure to identify households incurring ‘heavy financial burdens from paying for PPE’ (HBPPE) and conducted a case study in China. Methods Using nationally representative data in 2019, we estimated the percentage of households with HBPPE (spent 7% or more of their total annual expenditure) and associated socioeconomic inequalities. We also applied a three-level logit regression model to investigate the factors associated with the probabilities of households incurring HBPPE. Results Half of the sampled households spent 7% or more of their expenditures on PPE. Households in the lowest wealth quintile (54%) or households with children attending private PPE (55%) had higher percentages of HBPPE than households in other wealth quintiles (eg, 51% in the highest wealth quintile) or households with children attending public kindergartens (41%). Logit regression analysis shows that the poorest households and households with children attending private kindergarten were more likely to incur HBPPE than their counterparts. Conclusion To ensuring universal access to PPE in China, future policy should consider increasing the enrolment of children from low-income families in public kindergartens and increasing governmental investments in low-income households by subsidising children attending PPE.

Background: The divorce rate has increased globally and in China. Literature from developed countries and few developing countries has shown the negative impact of parental divorce on children’s health and development. This cross-sectional study aimed to examine the association between parental divorce and early childhood development (ECD) in China. Method: This study used data collected from four provinces in China and reported by parents or other caregivers of 62 899 children, aged 3–5 years old, in 2017 and 2018. We constructed three types of ECD outcomes: (1) overall score of the early Human Capability Index (eHCI), (2) score of each domain of the eHCI, and (3) a dichotomous variable indicating a child developmentally on track, defined by ranking above the 20th percentile of overall eHCI scores in the corresponding age group in the pooled dataset. To understand the link between parental divorce and ECD outcomes, we used the propensity score matching method to match children from divorced families to those from intact families. We applied generalised linear regression models in data analysis using both the full sample and matched sample. Results: A total of 3.8% (N=2409) of young children came from divorced families. Children whose parents divorced had significantly lower overall eHCI scores (OR: 0.95, 95% CI 0.92 to 0.98) and lower odds of being developmentally on track (OR: 0.79, 95% CI 0.71 to 0.89), compared with their counterparts after matching. Statistically significant differences were observed in nearly all of nine domains of eHCI, especially for physical health, reading and social and emotional skills. Subgroup analyses showed more prominent associations in Shanghai. Conclusion: Children from divorced families showed slower early sociopsychological and physical development than their peers. Efforts are needed to help this vulnerable group minimise the differences.