Shenzhen Research Articles

A Multidimensional Assessment of Activities of Daily Living, Mental Status, Communication, and Social Abilities Among Older Adults in Shenzhen, China: Cross-Sectional Study.

China is facing a rapidly expanding aging population. Insights into the health status of older adults are of great significance for health resource allocation and health care provision to this population. With the goal of providing a comprehensive understanding of the health status of older adults and to inform potential interventions, we investigated the level of disability and identified risk factors associated with disability among the older population (aged ≥60 years) living in China. A total of 8467 older adults living in the Chinese city of Shenzhen were enrolled in this cross-sectional study. We used a multidimensional ability assessment survey, which assessed their activities of daily living (ADL; including eating, bathing, grooming, dressing, defecation control, urination control, using a toilet unaided, transfer, flat-ground walking, stair activity), mental status (including cognitive function, aggressive behavior, depression symptoms), sensory and communication (including consciousness level, vision, hearing, communication), and social participation (including living, working, time/space orientation, distinguish persons, social communication) abilities. The impact of demographic risk factors on ability levels was analyzed using ordinal logistic regression. The correlations between the four dimensions of ability mentioned above were analyzed using Spearman correlation analysis. A total of 7766 participants were effectively assessed. The participants' average age was 70.64 (SD 8.46) years comprising 56.53% females. The overall ability level was classified as mildly, moderately, and severely impaired for 27.57% (n=2141), 2.83% (n=220), and 4.28% (n=332) of the 7766 participants, respectively. With increasing age, the proportion of impaired participants increased from 17.62% (365/2071) in the age group 60-64 years to 91.3% (253/277) in the age group above 90 years (P<.001), corresponding to an approximate 10% rise for every 5-year age increment. The odds of having more severe overall ability impairment in females was 1.15 times that in males (odds ratio [OR] 1.15, 95% CI 1.04-1.28). Participants who were divorced or widowed had a higher risk of more severe overall ability impairment than those currently married (OR 1.98, 95% CI 1.68-2.33). Participants living with nonrelatives had an increased risk of more severe overall ability impairment than those living alone (OR 2.38, 95% CI 1.46-3.91). Higher education level was a protective factor of overall ability impairment (college degree or above: OR 0.32, 95% CI 0.24-0.42). The four dimensions of ability assessed were significantly correlated; a low score for ADL was significantly correlated with poorer mental status, sensory and communication, and social participation (all P<.001). The proportion of disability among Chinese older adults increases with age, being female, having lower education levels, being divorced or widowed, and living with nonrelatives. Impairment in ADL ability is significantly correlated with poor mental status, social participation, and sensory and communication abilities. A holistic approach to improving the health of the older population is recommended in China.

Environmental and economic impact assessment of synergistic organic-waste treatment strategies in eco-industrial parks: A pilot-scale case study in Shenzhen, China

The acceleration of urbanization has posed significant challenges for the urban organic-waste treatment in megacities and large cities of developing countries. Synergistic organic-waste treatment in eco-industrial parks is essential for achieving China's “zero-waste” and ambitious low-carbon targets. However, the environmental impact and benefit evaluation of synergistic organic-waste treatment in eco-industrial parks remain unclear. In this study, life cycle assessment methods were applied for the environmental management of a newly developed eco-industrial park for synergistic organic-waste treatment in Shenzhen city, China, with a population of 20 million. The synergistic eco-industrial park alleviated the direct and indirect environmental impacts of waste treatment and increased the profit, owing to the electricity recovery, fewer transportation activities, and co-composting treatment. A 38.8–88.2% decrease was observed in the environmental impacts of unit capacity in the synergistic mode compared to the independent mode. Moreover, the profit in the synergistic mode was 2 times higher than in the case with independent plants. Overall, synergistic organic-waste treatment facilities can be incorporated in industrial parks to treat organic waste in an effective and environmentally friendly manner. These findings can provide novel insights for understanding synergistic organic-waste treatment in eco-industrial parks and enhancing the low-carbon performance of megacities and large cities.

A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM

The technology of tunnel boring machine (TBM) has been widely applied for underground construction worldwide; however, how to ensure the TBM tunneling process safe and efficient remains a major concern. Advance rate is a key parameter of TBM operation and reflects the TBM-ground interaction, for which a reliable prediction helps optimize the TBM performance. Here, we develop a hybrid neural network model, called Attention-ResNet-LSTM, for accurate prediction of the TBM advance rate. A database including geological properties and TBM operational parameters from the Yangtze River Natural Gas Pipeline Project is used to train and test this deep learning model. The evolutionary polynomial regression method is adopted to aid the selection of input parameters. The results of numerical experiments show that our Attention-ResNet-LSTM model outperforms other commonly-used intelligent models with a lower root mean square error and a lower mean absolute percentage error. Further, parametric analyses are conducted to explore the effects of the sequence length of historical data and the model architecture on the prediction accuracy. A correlation analysis between the input and output parameters is also implemented to provide guidance for adjusting relevant TBM operational parameters. The performance of our hybrid intelligent model is demonstrated in a case study of TBM tunneling through a complex ground with variable strata. Finally, data collected from the Baimang River Tunnel Project in Shenzhen of China are used to further test the generalization of our model. The results indicate that, compared to the conventional ResNet-LSTM model, our model has a better predictive capability for scenarios with unknown datasets due to its self-adaptive characteristic.

A study on the impact of listed companies' strategies on surplus sustainability

Strategic differences have an important impact on the quality of surpluses. Based on the perspective of surplus persistence, this paper uses a total of 8917 data of A-share listed companies in Shanghai and Shenzhen in China from 2014-2019 as the research sample, and uses a first-order linear autoregressive model to explore the relationship between strategic differences and surplus persistence of listed companies, and the moderating role of property rights nature in this relationship. The study finds that the greater the strategic differences, the lower the surplus persistence; the negative relationship between strategic differences and surplus persistence is more significant in non-state-owned enterprises compared to state-owned enterprises. Further breakdown of the surplus items reveals that strategic differences affect the overall surplus persistence mainly by influencing the persistence of the accrual part of the surplus.

Spatio-temporal evolution and future simulation of urban agglomeration expansion in the Guangdong–Hongkong–Macau Greater Bay Area

Urban agglomerations are growth poles that promote regional economic development; however, rapid expansion exerts an increasingly negative influence on regional ecosystem security, restricting sustainable urban development. Therefore, predicting the impact of future expansion on regional ecological security can guide regionally coordinated development. In this study, we used land-use data to determine the spatiotemporal evolution of urbanization and land use in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) urban agglomeration from 1990 to 2020 and employed the artificial neural network–cellular automata (ANN–CA)–Markov model to simulate future expansion under three different scenarios for 2025 and 2035. From 1990 to 2020, the overall development level of the GBA urban agglomeration was relatively high, with the area of construction land following a pattern of first increasing rapidly and then gradually transitioning to a slower rate of growth. Land use was consistently dominated by forest land, which accounted for more than 50% of the total land area, followed by arable land (30.56%) and construction land (7.92%). The most intense expansion in the GBA occurred in the main urban areas of Guangzhou, Shenzhen, Foshan, Dongguan, and other cities. The expansion sources were mainly farmland, water, and other ecological land types. The spatial structure and characteristics of simulated future regional land-use changes in 2025 and 2035 differed significantly under the three different scenarios. Under the natural development scenario, urban expansion was unconstrained, and rapid growth occurred over a large area of ecological land. Conversely, the addition of ecological constraints effectively controlled the occupation of forest land and cultivated land. Under the economic development scenario, urban expansion incorporated more unused and cultivated land. The results of this study provide a reference for policy decision-making in regional planning, urban planning, and regional ecological protection under multiple future scenarios.

Research on the balanced geographic allocation of medical facilities in Shenzhen City based on the hierarchical medical system

Abstract Objective: Based on the hierarchical medical system, this study evaluated the accessibility of medical facilities (MFs), analyzed their geographic allocation, and put forward suggestions for the balanced allocation of MFs in Shenzhen. Methods: This study implemented a 2-step floating catchment area method to evaluate the accessibility of MFs. Statistical and spatial analysis methods were used to analyze the spatial characteristics and service equity of accessibility in Shenzhen. Results: The spatial allocation of the accessibility of low-level MFs in Shenzhen was characterized by the emergence of point-like high-accessibility areas in a large low-accessibility area. Here, there is the problem of insufficient service capacity, which limits the implementation of the hierarchical medical system. The spatial characteristics of the accessibility of high-level MFs in Shenzhen included a high degree of agglomeration, large differences inside and outside the original special economic zone, and large areas with weak accessibility. There was a spatial imbalance in the overall accessibility of MFs, wherein individuals with higher incomes typically have better and more equitable accessibility. Conclusions: A balanced geographic allocation of MFs can ensure the implementation of the hierarchical medical system and enhance the equity of medical services. Strategies for balanced geographic allocation of MFs are proposed as follows: comprehensively improving the service capacity and construction standards of community healthcare centers; promoting the construction of primary hospitals and community hospitals in areas with a high population density; establishing additional secondary hospitals and tertiary hospitals in areas with low accessibility to high-level MFs; and encouraging coordinated urban development and MFs construction.

Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data

Building a reasonable model for predicting biodiversity using limited data is challenging. Expanding limited experimental data using a variational autoencoder generative adversarial network (VAEGAN) to improve biodiversity predictions for a region is a new strategy. Aquatic beetle diversity in a large &gt;30-year-old artificial pool that had not had human interference in Nanshe Village (Dapeng Peninsula, Shenzhen City, Guangdong Province, China) was investigated. Eight ecological factors were considered. These were water temperature, salinity, pH, water depth, proportional area of aquatic plants, proportional area of submerged plants, water area, and water level. Field sampling was performed for 1 or 2 days in the middle or late part of each month for a year. A type D net was swept 10 times in the same direction in each ~1 m × ~1 m sample square, generating 132 datasets (experimental data). In total, 39 aquatic beetle species were collected, 19 of which were assigned to Hydrophilidae, 16 to Dytiscidae, 3 to Noteridae, and 1 to Gyrinidae. A one-dimensional convolutional neural network (1-D CNN) was used to assess and predict the grade of the number of individuals and the number of aquatic beetle species. The Bayesian-optimized 1-D CNN established using 112 experimental datasets as the training set and the other 20 datasets as validation and testing sets gave a 74.0% prediction accuracy for the grade of the number of individuals and a 70.0% prediction accuracy for the number of species. The impact of insufficient sample data on the model was assessed using a VAEGAN to expand the training set from 112 to 512 samples, and then the Bayesian-optimized 1-D CNN-based VAEGAN prediction model was re-established. This improved prediction accuracy for the grade of the number of individuals to 86.0% and for the number of species to 85.0%. The grade of the number of individuals’ prediction accuracy was 88.0% and the number of species’ prediction accuracy was 85.0% when the random effects of only obtaining a single individual of a species were excluded. The results indicated that the accuracy of the 1-D CNN in predicting the aquatic beetle species number and abundance from relevant environmental factors can be improved using a VAEGAN to expand the experimental data.

Ultra-short-term power load forecasting method based on stochastic configuration networks and empirical mode decomposition

Ultra-short-term power load forecasting (USTPLF) can provide strong support and guarantee the decisions on unit start-up, shutdown, and power adjustment. The ultra-short-term power load (USTPL) has strong non-smoothness and nonlinearity, and the time-series characteristics of the load data themselves are difficult to explore. Therefore, to fully exploit the intrinsic features of the USTPL, a stochastic configuration networks (SCNs) USTPLF method based on K-means clustering (K-means) and empirical mode decomposition (EMD) is proposed. First, the load data are decomposed into several intrinsic mode functions (i.e., IMFs) and residuals (i.e., Res) by EMD. Second, the IMFs are classified by K-means, and the IMF components of the same class are summed. Third, the SCNs is used to forecast the electric load on the basis of the classified data. Lastly, on the basis of the real load of Shenzhen City, the proposed method is applied for emulation authentication. The result verifies the efficiency of the proposed measure.

Perceived Factors Influencing Physical Health Condition among Young Learners in Futian District, Shenzhen City

Perceived Factors Influencing Physical Health Condition among Young Learners in Futian District, Shenzhen City

Mapping U.S.-China technological “decoupling”: Beyond U.S.-China relations

As a global phenomenon of political and economic geography, a partial “decoupling” of U.S. and Chinese technology ecosystems is well under way. It should be noted that the biggest manifestation of this decoupling is the U.S. crackdown on Chinese technology companies. The U.S. government has placed over 1000 Chinese firms on the Entity List, Unverified List, Chinese Military firms Sanitations List, and NS-CMIC as a representative action to stifle the Chinese technology industry. The spatial patterns of the technological decoupling between China and the United States can be summed up by looking at the spatial distribution of blacklisted firms. Beyond China, the United States largely works to prevent China from forging indirect business links with U.S. high-tech companies through its allies (for example, the United Kingdom). Core cities like Beijing, Shanghai, and Shenzhen in China, which are also hubs for Chinese high-tech businesses, are the major targets of industrial suppression in the United States. The U.S.-China rivalry will continue to shape the global economic geography in the future.

Linking authentic leadership and employee turnover intention: the influences of sense of calling and job satisfaction

PurposeThis research aims at examining how authentic leadership impacts social workers' withdrawal behaviors through two intermediate mechanisms: sense of calling and job satisfaction.Design/methodology/approachA cross-sectional survey was distributed among social workers from 26 social work organizations in the cities of Guangzhou, Shanghai, and Shenzhen in China (N = 667). SPSS was used to conduct preliminary analyses and structural equation modeling (SEM) was used to test the hypotheses developed.FindingsThis study found that authentic leadership has a negative direct effect on social workers' turnover intention. In addition, social workers' sense of calling and job satisfaction mediate the relationship between their perceptions of authentic leader behaviors and turnover intention.Practical implicationsBased on this study's findings, the authors suggest social work organizations to invest in authentic leadership development to promote employees' psychological capacities and prevent employee turnover. Social work organizations need to foster employees' sense of calling to the field which improves the workplace outcomes.Originality/valueThis study is among those few empirical studies which help to validate the role of authentic leadership within social service organizations in China and shed light on understanding the underlying mechanisms through which authentic leaders affect organizational outcomes.

Media attention and large shareholders' embezzlement behavior

This paper analyses the relationship between media attention and the appropriation of interests by large shareholders from the perspective of embezzlement behavior. The empirical analysis is conducted by selecting data from listed companies in China's Shenzhen A-share market from 2018 to 2021. It is found that both company media attention and controlling shareholder media attention can effectively restrain the embezzlement behaviors of large shareholders; media attention is more effective in state-owned enterprises in restraining embezzlement behaviors of large shareholders; media attention has better-restraining effects on embezzlement behaviors of controlling shareholders of listed companies under special treatment.

Reference values for carotid artery intima-media thickness among community adult dwellers in Shenzhen City

Objective: To establish reference values for carotid intima-media thickness (CIMT) of adult dwellers in Shenzhen City. Methods: The study was conducted based on the Shenzhen heart failure epidemiological survey from 2021 to 2022. In this survey, residents aged 18 years and above in Shenzhen were selected by using a multi-stage stratified random sampling method. General information, cardiovascular disease (CVD) related behavior and carotid ultrasound examination and etc. were collected from the participants. People with CVD factors, a history of atherosclerotic cardiovascular disease, carotid plaque or having no carotid ultrasound examination results were excluded. The parameter regression model based on fractional polynomial was used to establish the reference values of CIMT by age and sex. Results: A total of 2 163 healthy individuals were enrolled in the final analysis, including 576 males (26.6%) and 1 587 females (73.4%). The fractional polynomial regression of the CIMT mean and standard deviation was obtained. For men, the regression was meanCIMT=0.324 7+0.006 9×age and SDCIMT=0.076 9+0.001 2×age. For women, the regression was meanCIMT=0.354 9+0.005 4×age and SDCIMT=0.041 6+0.002 0×age. Conclusion: The age and sex reference values for CIMT of adult people in Shenzhen established in this study could provide the latest reference standards for early screening of subclinical CVD.

The link between unhealthy lifestyle behaviors and emotional and behavioral problems in children and adolescents: a latent class analysis

ABSTRACT Unhealthy lifestyle behaviors (ULBs) in children and adolescents are relatively common. Previous studies have shown an association between a single ULBs and emotional and behavioral problems (EBPs); however, few studies have explored the connection between multiple behavioral patterns and EBPs in children and adolescents. Hence, we aimed to investigate the link between ULBs clusters and EBPs among Chinese children and adolescents. From April to May 2019, we used cluster sampling to investigate children and adolescents in grades 1–12 from 14 schools located across six streets of Bao’an District in the city of Shenzhen. We measured emotional and behavioral problems using the Strengths and Difficulties Questionnaire (SDQ). ULBs included the consumption of sugar-sweetened beverages, takeaway and fast food consumption, lack of sleep, low outdoor activity, and excessive screen time. We performed clustering of ULBs using the regression hybrid modeling method of latent class analysis (LCA). We analyzed the association between ULBs and EBPs using logistic regression. In total, 30188 children and adolescents remained for analysis, with an average age of 12.44 ± 3.47 years. The LCA revealed four distinct patterns of ULBs: (1) lowest risk; (2) high-risk unhealthy lifestyle behaviors; (3) high-risk dietary unhealthy lifestyle behaviors; and (4) highest risk. Compared to ULBs with the lowest risk, high-risk ULBs, high-risk dietary ULBs, and highest risk ULBs were positively correlated with EBPs, with an adjusted odds ratio (aOR) (95% confidence interval [CI]) of 1.27, 1.34 and 2.05, respectively. Children and adolescents who reported engaging in multiple ULBs were also more likely to have poorer EBPs status. This implies that school administrations should pay more attention to the management of dietary and lifestyle behaviors to prevent EBPs in children and adolescents. Our findings highlight the need to focus on multiple clusters of ULBs among adolescents in a preventive care system and to validate EBP that may occur in children who are exposed to ULBs.

Characteristics of genotype, drug resistance, and molecular transmission network among newly diagnosed HIV-1 infections in Shenzhen, China.

The HIV-1 pandemic has persisted for four decades, and poses a major challenge to global public health. Shenzhen, a city with large number of migrant populations in China, is suffering HIV-1 epidemic. It is necessary to continuously conduct the molecular surveillance among newly diagnosed HIV-1 patients in these migrant population. In this study, plasma samples of newly diagnosed and ART-naive HIV-1 infections were collected from Shenzhen city in China. The partial genes of HIV-1 gag and pol were amplified and sequenced for the analysis of genotype, drug resistance, and molecular transmission network. Ninety-one sequences of pol gene were obtained from newly diagnosed HIV-1 infections in Shenzhen, and seven HIV-1 subtypes were revealed in this investigation. Among them, the circulating recombinant form (CRF) 07_BC was the mostly frequent subtype (53.8%, 49/91), followed by CRF01_AE (20.9%, 19/91), CRF55_01B (9.9%, 9/91), unique recombinant forms (URFs) (8.8%, 8/91), B (3.3%, 3/91), CRF59_01B (2.2%, 2/91), and CRF08_BC (1.1%, 1/91). The overall prevalence of pretreatment drug resistance (PDR) was 23.1% (21/91), and 52.38% (11/21) of the PDR was specific for the nonnucleotide reverse transcriptase inhibitors (NNRTIs). Furthermore, a total of 3091 pol gene sequences were used to generate 19 molecular transmission clusters, and then one growing cluster, a new cluster, and a cluster with growth reactivation were identified. The result revealed that more sexual partner, CRF_07BC subtype, and seven amino acid deletions in gag p6 region might be the influencing factors associated with the high risk of transmission behavior. Compared with CRF01_AE subtype, CRF07_BC subtype strains were more likely to form clusters in molecular transmission network. This suggests that long-term surveillance of the HIV-1 molecular transmission should be a critical measure to achieve a precise intervention for controlling the spread of HIV-1 in China.

Global city formation, authoritarian politics, and transnational policy transfer: The case of affordable housing in China

AbstractConventional research on global cities and policy transfer focuses on global cities in developed democracies. How Asian global cities innovate and transfer social policy has received less scholarly attention. I argue that transnational policy transfer (TPT) has occurred between more mature global cities in Asia and emerging global cities in China in the post‐reform era. Empirically, this article examines the policy domain of affordable housing (AH) and identifies two mature models of AH provision: asset‐based welfare (ABW) in Singapore and public rental housing (PRH) in Hong Kong. It then traces how these models were transferred in three emerging global cities of Shanghai, Guangzhou, and Shenzhen. While Shanghai has favored Singapore's ABW model, Guangzhou and Shenzhen have prioritized Hong Kong's PRH model. By selecting three cases with different political‐administrative statuses, this article shows how authoritarian politics can interact with the agency of global cities in shaping varying TPT trajectories.

An Empirical Study on The Calendar Effect of The Shanghai Index in China

The premise of traditional financial theory is efficient market theory and rational man hypothesis, while the market anomaly which can not be explained by traditional financial theory such as the calendar effect poses a great challenge to traditional financial theory. This paper uses the daily closing price data of the Shanghai Composite Index from December 19, 1999, to May 6, 2022, to investigate the calendar effect of the logarithmic return of the Shanghai Composite Index. The research results show that China's Shenzhen stock market is inefficient and has a negative Tuesday effect, which empirically proves the non-efficiency of China's stock market and the calendar effect in behavioral finance in China's stock market.

Social networks and drivers of highly skilled migration: The case of Shenzhen City in China

AbstractIn China, the number of highly skilled domestic migrants has been growing significantly. Many highly skilled personnel have migrated to megacities located in eastern China. Through semistructured interviews with 54 highly skilled migrants in the city of Shenzhen, we find that economic incentives, urban amenities, preferential policies and social networks act as drivers for their migration. Because the role of social networks has been overlooked in the existing literature, we focus on this particular driver of migration. The desire to be physically embedded in social networks has driven migrants to move to Shenzhen: they cite proximity to parents, partners and former schoolmates as motivating factors. Such embeddedness provides them with a sense of ‘social affiliation’. While previous research has highlighted the role of migrants' social capital, we suggest that highly skilled migrants do not necessarily rely on this resource. Instead, we focus on what we call ‘migration for social affiliation’, and offer a novel angle on the precise role of migrants' social networks.

Adequate Budgetary Allocation and Infrastructural Projects Implementation in Shenzhen City Projects, China

Adequate budgetary allocation plays a crucial role in facilitating the successful implementation of infrastructural projects. It ensures that sufficient funds are allocated to meet the various needs of the projects, including construction, materials, and labor costs. With adequate budgetary allocation, projects can be completed on time and within the planned scope, minimizing delays and cost overruns. It also allows for the incorporation of high-quality materials and technologies, ensuring the longevity and functionality of the infrastructure. Furthermore, adequate budgetary allocation enables governments and organizations to prioritize and invest in critical sectors such as transportation, water supply, energy, and communication, thereby fostering economic growth and improving the quality of life for communities. The study utilized the descriptive research design. The target population was 25 projects in Shenzhen City, China. The study did sampling of 20 respondents that were selected from the target population of 25 projects in Shenzhen City, China. Questionnaires were used to collect the data. The study concluded that adequate budgetary allocation has allowed Shenzhen to undertake numerous large-scale projects, including the development of a modern transportation network. The infrastructural projects have significantly improved the quality of life for Shenzhen's residents. Adequate budgetary allocation has allowed for the construction of residential areas with modern amenities, parks, and recreational facilities. The implementation of infrastructural projects has attracted investment and stimulated economic growth in Shenzhen. The study recommended that to ensure efficient implementation and management of infrastructural projects, Shenzhen should actively foster public-private partnerships (PPPs). While investing in infrastructure, Shenzhen should prioritize inclusivity and equity. This involves considering the needs of all citizens, including vulnerable groups and marginalized communities, in the planning and implementation of infrastructural projects. Keywords: Budgetary Allocation, Infrastructural Projects Implementation, China

Combined Effect of Prenatal Mosquito Coil Smoke Exposure and Early Postnatal Nutritional Status on Obesity among Preschoolers

Informed by the theory of developmental origins of health and disease, we conducted a survey among 66,854 mother–preschooler dyads in all kindergartens within the Longhua District of Shenzhen in China for exploring the combined effect of prenatal mosquito coil smoke (MCS) exposure and early postnatal nutritional status on obesity in preschoolers. A self-administered questionnaire was completed by mothers to collect parents’ and children’s socio-demographic characteristics, prenatal MCS exposure, child nutritional status at 1–3 years, etc., and children’s heights and weights were measured at the same time. After controlling for potential confounders, a series of logistic regression models and cross-over analyses were used to examine the independent and combination effects of prenatal MCS exposure and postnatal nutritional status on preschoolers’ obesity. We found that prenatal MCS exposure significantly increased the risk of preschoolers’ obesity (AOR = 1.14, 95%CI = 1.08–1.21). Additionally, early postnatal well-nourished nutritional status also increased the risk of preschoolers’ obesity (AOR = 1.56, 95%CI = 1.47–1.66). The cross-over analysis showed that the combination of prenatal MCS exposure with early general postnatal nutrition status (AOR = 1.22, 95%CI = 1.10–1.36) and early postnatal well-nourished nutrition status (AOR = 1.81, 95%CI = 1.65–1.97), respectively, increased the risk of preschoolers’ obesity. Our results indicated that prenatal MCS exposure and early postnatal nutritional status can independently and jointly increase the risk of preschoolers’ obesity.