Meng Zheng

Ms. Meng Zheng

Sun Yat-sen University, Guangzhou, Guangdong, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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YZYixiang Zhou
Yixiang Zhou
MZMeng Zheng
Meng Zheng
YHYujie He
Yujie He
JZJianghui Zhang
Jianghui Zhang
TGTingting Guo
Tingting Guo
WCWen Chen
Wen Chen
This study investigates the impact of family environments on the psychological well-being of children and adolescents in rural China, focusing on loneliness, depression, and internet addiction. Using a cross-sectional design, data were collected from 652 families in rural Hunan province to examine the role of family communication, caregiver psychological states, and parenting styles. Structural equation modeling revealed that family economic conditions influenced children’s mental health through primary caregivers’ emotional well-being, hostile parenting styles, and family communication. Notably, hostile parenting and poor family communication were the strongest mediators across all three psychological outcomes, consistently exhibiting significant associations with loneliness, depression, and internet addiction. The findings highlight the crucial role of parenting styles and poor family communication in shaping children’s psychological health, emphasizing the need for interventions that enhance family communication and promote supportive parenting. Addressing caregiver emotional well-being and adjusting parental expectations may serve as effective strategies for improving mental health outcomes among rural youth.

MZMeng Zheng
Meng Zheng
FCFeng Chen
Feng Chen
YPYan Pan
Yan Pan
DKDi Kong
Di Kong
ARAndre Renzaho
Andre Renzaho
WCWen Chen
Wen Chen
Resettled humanitarian migrants (HMs) have high levels of mental disorders, but factors associated with the utilization of mental health services (MHS) are poorly understood. We aimed to explore trends and impact factors of MHS utilization among HMs in the process of resettlement in Australia. A total of 2311 HMs from the 1st (2013), 3rd, and 5th (2018) waves of a national cohort study were included. MHS utilization in the past year was assessed by two indicators: having MHS contacts and the frequency of MHS contacts. Trends were identified by Cochran–Armitage tests, and generalized linear mixed models and ordered logistic models were fitted to explore impact factors of MHS utilization. The proportion of having MHS contacts significantly rose from 13.0% to 29.4% over the five years. MHS utilization was mainly driven by perceived needs, such as post-traumatic stress disorders and the degree of post-migration stress. Unemployment and strong belongingness to the local community were also associated with having MHS contacts. No significant gender difference was found in having MHS contacts but females tended to contact MHS more frequently. Resettled HMs have a persistent dilemma of high mental illness prevalence and MHS underutilization. Sustainable mental health education and long-term resettlement services targeted at social integration that consider gender difference are urgently needed in host countries.

9 January 2025 in Toxics
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Journal Article
Open access
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XZXinyuan Zhong
Xinyuan Zhong
TGTingting Guo
Tingting Guo
JZJianghui Zhang
Jianghui Zhang
QWQiong Wang
Qiong Wang
RYRong Yin
Rong Yin
WCWen Chen
Wen Chen
The global prevalence and burden of anxiety disorders (ADs) are increasing. However, findings on the acute effects of air pollution on ADs remain inconclusive. We evaluated the effects of short-term exposure to ambient air pollutants, including fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2), and ozone (O3), on daily hospital visits for ADs. A generalized additive model was used to perform a time-series analysis on data from a Southern China city’s medical insurance system between 1 March 2021, and 31 July 2023. Although the daily levels of most pollutants (PM10, SO2, CO, NO2 and O3) were consistently below China and WHO’s Ambient Air-Quality Standards, significant associations were observed between daily hospital visits for ADs and all six air pollutants. Each interquartile range increase in concentrations resulted in the largest odds ratios of 1.08 (95% CI: 1.01, 1.16) at lag1 for PM2.5, 1.19 (95% CI: 1.05, 1.34) at lag07 for NO2, 1.14 (95% CI: 1.05, 1.23) at lag02 for CO, 1.12 (95% CI: 1.01, 1.25) at lag07 for PM10, 1.06 (95% CI: 1.01, 1.12) at lag7 for SO2 and 1.08 (95% CI: 1.01, 1.15) at lag7 for O3, respectively. The effects of NO2 and CO remained robust across subgroup analyses and sensitivity analyses. Females and middle-aged individuals showed stronger associations than other subgroups. The findings underscore the necessity for public health efforts to alleviate the impact of air pollution on mental health, even in low-concentration settings.

7 April 2026 in Epidemiology and Psychiatric Sciences
Verified
Journal Article
Open access
XBXinyan Bu
Xinyan Bu
MZMeng Zheng
Meng Zheng
ARAndre Renzaho
Andre Renzaho
TNThomas P. Nguyen
Thomas P. Nguyen
SSShameran Slewa-Younan
Shameran Slewa-Younan
WCWen Chen
Wen Chen
Aims: Significant sex disparities in mental health have been observed amongst resettled refugees, yet how these disparities and their determinants evolve over time remains unclear. This study sought to quantitatively unravel determinants and changes in mental health disparities by sex. Methods: Data were drawn from Waves 1 (2013–2014), 5 (2017–2018) and 6 (2023) of the 10-year Building a New Life in Australia (BNLA) cohort. Post-traumatic stress disorder (PTSD) and high risk of severe mental illness (HR-SMI) were measured using the PTSD-8 and Kessler-6 scales. Fairlie method was used to quantify the disparity (total predicted probability difference by sex) and the contribution proportion of individual determinants (explained difference/total predicted probability difference × 100%). Results: A total of 2261 refugees were included at Wave 1, with 1833 (81.1%) and 905 (40.0%) followed up at Waves 5 and 6. Female refugees consistently experienced poor mental health, with the total predicted probability difference decreasing from the initial (Wave 1, 8.3%) to middle stage (Wave 5, 4.6%), then increasing in the long term (Wave 6, 6.3%). Determinants of disparities varied across waves, but poor status of physical health was a persistent contributor of disparities in PTSD (contribution proportion: 57.2%, 71.5% and 63.0% at each wave). Family conflict contributed at the initial (HR-SMI: 4.5%) and long-term stages (PTSD: 8.7%), while financial hardships (PTSD: 13.2%; HR-SMI: 23.2%), marital status (HR-SMI: 24.8%) and family concerns (PTSD: 8.0%) were key determinants at the middle stage. Unmet support or help during COVID-19 was a major contributor at Wave 6 (PTSD: 22.7%; HR-SMI: 8.0%). Conclusions: Sex disparities exist in refugees’ mental health and require sustained attention and tailored strategies. To promote mental health equity, there is a long-term need to provide essential physical healthcare and financial assistance and address family-related stressors. Additionally, it is important to identify and address the specific psychosocial needs of women in times of crisis such as the COVID-19 pandemic.