Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Wei-Wei Chang has a total of 52 co-authors. Here are the top co-authors by number of shared publications:

  • Yuelong Jin

    School of Public Health, Wannan Medical College, Wuhu, China

    7 shared publications
  • Li-Jun Zhu

    Department of Epidemiology and Health Statistics, School of Public Health, Wannan Medical College, Wuhu, China

    4 shared publications
  • Li-Ying Wen

    Department of Epidemiology and Health Statistics, School of Public Health, Wannan Medical College, Wuhu, China

    4 shared publications
  • Liu Zhang

    Department of Hospital Infection Management Office, Wuhu Hospital of Traditional Chinese Medicine, Wuhu, China

    4 shared publications
  • An-Shi Wang

    Department of Epidemiology and Health Statistics, School of Public Health, Wannan Medical College, Wuhu, China

    2 shared publications
  • Jian-Gen Song

    Department of Epidemiology and Health Statistics, School of Public Health, Wannan Medical College, Wuhu, China

    2 shared publications

Latest Publications

  • Open Access

    Depression and suicidal ideation among Chinese college students during the COVID-19 pandemic: the mediating roles of chronotype and sleep quality

    by Li-Ying Wen, Liu Zhang, Li-Jun Zhu, Jian-Gen Song, An-Shi Wang, Yu-Jing Tao, Hao-Qi Li, Ying Feng, Yue-Long Jin, Hong Su, et al.

    This study was intended to investigate the correlation between depression and suicidal ideation among Chinese college students during the COVID-19 pandemic and the potential mediating roles of chronotype and sleep quality in this relationship . A sample of 4,768 college students was selected from four institutions in Anhui Province, China, and the study was conducted during the COVID-19 pandemic (November to December 2020) using a stratified, cluster, multi-stage sampling method. This study used the two-item Patient Health Questionnaire (PHQ-2) to assess depressive symptoms, the Morningness-Eveningness Questionnaire 19 (MEQ-19) to determine individual sleep chronotypes (i.e., morning or evening preference), and the Pittsburgh Sleep Quality Index (PSQI) to evaluate sleep quality. Participants were asked about suicidal ideation. MPLUS 8.3 software was used to analyze the mediating effect of chronotype and sleep quality on the relationship between depression and suicidal ideation. During the COVID-19 pandemic, the prevalence of suicidal ideation among Chinese college students was 5.4%. Depression was inversely correlated with chronotype (beta = − 0.346, P < 0.01) and positively correlated with sleep quality (beta = 0.846, P < 0.001), indicating that students experiencing depressive symptoms were more likely to have a later chronotype and poor sleep quality. A later chronotype (beta = − 0.019, P < 0.05) and poor sleep quality (beta = 0.066, P < 0.01) predicted suicidal ideation. Depression emerged as a direct and significant risk factor for suicidal ideation (effect value = 0.535, 95% confidence interval: 0.449 ~ 0.622). Chronotype and sleep quality were found to have potential mediating effects on the relationship between depression and suicidal ideation; however, the chain-mediating effect of chronotype and sleep quality was not statistically significant. Our findings suggest that during the COVID-19 pandemic, depression can precipitate suicidal ideation through its influence on sleep chronotype and quality. These compelling findings highlight the urgency of early intervention strategies intended to mitigate suicidal thoughts, particularly among students exhibiting depressive symptoms, who experience disrupted sleep patterns and poor sleep quality.


  • Open Access

    Chronotypes and their association with sleep quality among Chinese college students of Anhui Province: a cross-sectional study

    by Xin Tong, Mei-Mei Gao, Liu Zhang, Jian-Gen Song, Ying Feng, Yujing Tao, Li-Jun Zhu, Li-Ying Wen, Yue-Long Jin, Wei-Wei Chang

    Objectives To describe the prevalence of chronotype and sleep quality among Chinese college students and explore the relationship between chronotype and sleep quality. Design A cross-sectional study. Setting Four colleges and universities in Anhui, China, between November and December 2020. Participants A total of 4768 college students were recruited using a stratified, multistage, cluster sampling survey. Outcome measures Morningness-Eveningness Questionnaire 19 was used to determine the chronotype of the students and the Pittsburgh Sleep Quality Index (PSQI) was used to measure their sleep quality. The multiple logistic regression model was used to explore the potential association between chronotype and sleep quality. Results The self-reported proportions of evening-type (E-type), neutral-type and morning-type among college students were 51.17%, 45.14% and 3.69%, respectively. The mean PSQI score was 4.97±2.82 and the prevalence of poor sleep quality was 18.2%. After adjusting the covariates by multiple logistic regression analysis, E-type was positively associated with subjective sleep quality (OR=1.671, 95% CI 1.414 to 1.975), sleep latency (OR=1.436, 95% CI 1.252 to 1.647), sleep duration (OR=2.149, 95% CI 1.506 to 3.067), habitual sleep efficiency (OR=1.702, 95% CI 1.329 to 2.180), daytime dysfunction (OR=1.602, 95% CI 1.412 to 1.818) and overall poor sleep quality (OR=1.866, 95% CI 1.586 to 2.196). Conclusions College students mainly exhibited E-type, and an elevated prevalence of poor sleep quality existed among these students. The E-type was positively associated with poor sleep quality.


  • Associations of CKIP-1 and LOX-1 polymorphisms with the risk of type 2 diabetes mellitus with hypertension among Chinese adults

    by Jiajie Xiong, Liu Zhang, Guimei Chen, Pu Dong, Jiani Tong, Long Hua, Ning Li, Liying Wen, Lijun Zhu, Weiwei Chang, et al.

    Aims Type 2 diabetes mellitus (T2DM) and hypertension are common high-incidence diseases, closely related, and have common pathogenic basis such as oxidative stress. Casein kinase 2 interacting protein-1 (CKIP-1) and low-density lipoprotein receptor (LOX-1) are considered to be important factors affect the level of oxidative stress in the body. The main purpose of this study was to explore the relationship between CKIP-1 (rs6693817 A > T, rs2306235 C > G) and LOX-1 (rs1050283 G > A, rs11053646 C > G) polymorphisms and the risk of hypertension and diabetes, and try to find new candidate genes for diabetes and diabetes with hypertension etiology in Chinese population. Methods 574 T2DM patients and 597 controls frequently matched by age and sex were selected for genotyping of CKIP-1 (rs6693817 A > T, rs2306235 C > G) and LOX-1 gene (rs1050283 G > A, rs11053646 C > G). Logistic regression was used to analyze the correlation between different genotypes and the risk of T2DM and T2DM with hypertension, and the results were expressed as odds ratio (OR) and 95% confidence interval (95% CI). Results We found that the risk of T2DM in the AA + AT genotype of rs6693817 was higher than that in the TT genotype in Chinese population (OR = 1.318, 95%CI: 1.011–1.717, P = 0.041), and the difference was still significant after adjustment (OR = 1.370, 95%CI: 1.043–1.799, Padjusted = 0.024), the difference of heterozygotes (AT vs TT: OR = 1.374, 95%CI: 1.026–1.840, Padjusted = 0.033) was statistically significant. But after Bonferroni correction, the significance of the above sites disappeared. And rs6693817 was associated with the risk of T2DM combined with hypertension before and after adjustment in dominant model (OR = 1.424, 95% CI: 1.038–1.954, P = 0.028; OR = 1.460, 95% CI: 1.057–2.015, Padjusted = 0.021, respectively) and in heterozygote model (OR = 1.499, 95% CI: 1.069–2.102, P = 0.019; OR = 1.562, 95% CI: 1.106–2.207, Padjusted = 0.011, respectively). However, only the statistical significance of the heterozygous model remained after Bonferroni correction. rs2306235, rs1050283 and rs11053646 were not significantly correlated with T2DM and T2DM combined with hypertension risk (P > 0.05). Conclusions The results suggest that CKIP-1 rs6693817 is related to the susceptibility of Chinese people to T2DM with hypertension, providing a new genetic target for the treatment of diabetes with hypertension with in the future.


  • Metformin alleviates glucolipotoxicity-induced pancreatic β cell ferroptosis through regulation of the GPX4/ACSL4 axis

    by Yue Sun, Li-Qun Guo, De-Guo Wang, Yu-Jie Xing, Ya-Ping Bai, Teng Zhang, Wen Wang, Si-Min Zhou, Xin-Ming Yao, Jin-Han Cheng, et al.


  • Open Access

    Association of learning environment and self-directed learning ability among nursing undergraduates: a cross-sectional study using canonical correlation analysis

    by Li-Qing Tang, Li-Jun Zhu, Li-Ying Wen, An-Shi Wang, Yue-Long Jin, Wei-Wei Chang

    Objectives This study explores the relationship between the perception of the learning environment and self-directed learning (SDL) ability among nursing undergraduates. Design, setting and participants A cross-sectional study was conducted in December 2020 with 1096 junior and senior undergraduate nursing students (aged 16–22) from Wannan Medical College in Anhui Province, China. Outcome measures The Chinese version of the Dundee Ready Educational Environment Measure questionnaire and a validated Chinese version of college students’ SDL ability scale were used to assess students’ perceptions about their learning environment and their SDL ability. Canonical correlation analysis was performed to evaluate their correlation. Results The total score for the learning environment was 120.60 (scoring rate: 60.30%), and the score for SDL ability was 89.25 (scoring rate: 63.75%). Analysis indicated that the first canonical correlation coefficient was 0.701 and the contribution rate was 94.26%. The perception of the learning environment was mainly determined by students’ perception of learning (SPL) and academic self-perceptions (SASP), with SDL ability mainly determined by self-management ability and cooperative learning ability. SPL and SASP were positively correlated with self-management ability and cooperative learning ability. Multiple linear regression analysis revealed that SPL, SASP, students’ perceptions of atmosphere and students’ social self-perceptions had a significant impact on SDL ability. Conclusions The SDL ability of nursing undergraduates was not high. SPL and SASP were positively correlated with self-management ability and cooperative learning ability. Nursing educators can improve students’ SDL ability by changing their learning environment, using, for example, new student-centred teaching methods.


  • Open Access

    Associations between Chinese college students’ anxiety and depression: A chain mediation analysis

    by Li-Ying Wen, Liu-Xia Shi, Li-Jun Zhu, Meng-Jie Zhou, Long Hua, Yue-Long Jin, Wei-Wei Chang

    Objective: Anxiety and depression are great public health concerns among college students. The purpose of this study was to explore whether sleep quality and quality of life (QoL) play mediating roles in anxiety and depression among Chinese college students. Method: A total of 2757 college students (mean age = 19.07; SD = 1.14) completed the questionnaires, including a brief demographic survey. The 2-item General Anxiety Disorder (GAD-2) and the 2-item Patient Health Questionnaire (PHQ-2) were used to assess the symptoms of anxiety and depression, respectively. And the Pittsburgh Sleep Quality Index (PSQI) and the Short-Form 36 Health Survey (SF-36) were used to evaluate college students’ sleep quality and QoL, respectively. Mediation analyses were conducted by using PROCESS macro in the SPSS software. Result: Anxiety had both direct and indirect effects on depression. Sleep quality and QoL were not only independent mediators in the relationship between anxiety and depression but also chain mediators. Conclusion: The results of the current study highlight the crucial role of early intervention for depression with a focus on college students with anxiety, more especially, on those with poorer sleep quality and lower QoL.


  • Association between TNF‐α G‐308A (rs1800629) polymorphism and susceptibility to chronic periodontitis and type 2 diabetes mellitus: A meta‐analysis

    by Liu‐Xia Shi, Liu Zhang, Dong‐Lin Zhang, Jing‐Ping Zhou, Xue‐Juan Jiang, Yue‐Long Jin, Wei‐Wei Chang

    Background and objective: Although the association between tumor necrosis factor‐α (TNF‐α) G‐308A (rs1800629) polymorphism and chronic periodontitis (CP), chronic periodontitis with type 2 diabetes mellitus (DP) is assumed, results of this association have been contradictory. The aim of this study was to assess the relationship between rs1800629 polymorphism and CP/DP susceptibility.Methods: We searched for studies on PubMed, Web of Science, MEDLINE, Chinese National Infrastructure, and WanFang databases. Study selection was performed using specific inclusion and exclusion criteria and fulfilled the PECO (participant, exposure, comparison, and outcome) format. The relationship between rs1800629 polymorphism and CP/DP susceptibility was evaluated by the effect summary odds ratio (OR) and 95% confidence intervals (CIs). Allele, dominant, and recessive genetic models were computed to assess the strength of the association.Results: A total of 25 case‐control studies were included in the analysis. In the Asian population, TNF‐α rs1800629 polymorphism was found to be significantly associated with CP in the overall analyses and for all genetic contrasts, while no significant risks were found among Caucasian populations for all genetic contrasts. The TNF‐α rs1800629 polymorphism was also associated with increased DP risk in Asians under the fixed‐effects model, but not in the recessive comparison.Conclusion: The meta‐analysis suggested that TNF‐α rs1800629 polymorphism might affect the risk of CP and DP, particularly in individuals of Asian descent.


  • Upregulation of long non-coding RNA MEG3 in type 2 diabetes mellitus complicated with vascular disease: a case–control study

    by Wei-Wei Chang, Liu Zhang, Xin-Ming Yao, Yan Chen, Li-Jun Zhu, Zheng-Mei Fang, Ying Zhao, Ying-Shui Yao, Yue-Long Jin

    Previous studies have indicated that long non-coding RNAs (lncRNAs) were closely related to diabetes. In this study, we aimed to explore the possible role and mechanism of lncRNA MEG3 in the occurrence and development of type 2 diabetes mellitus (T2DM) and its vascular complications. A case–control study involving 115 subjects was conducted, including 53 T2DM patients (37 patients with vascular complication and 16 patients without vascular complications) and 62 healthy subjects. We performed real-time polymerase chain reaction (RT-PCR) analysis of the lncRNA MEG3 and miR-146a levels in peripheral blood mononuclear cells (PBMCs) in the 115 samples. We found that the expression of lncRNA MEG3 was upregulated in the T2DM patients with vascular complication (DC group) compared with T2DM patients without vascular complication (D group) (P < 0.05) and the control group (P < 0.01). miR-146a levels in DC group were significantly lower compared with control group. There was a significant positive correlation between the expression of lncRNA MEG3 and glucose (GLU) (r = 0.301, P = 0.0011) and hemoglobin A1C (HbA1c) (r = 0.477, P = 0.0006). Our study suggests MEG3 may play as an important role in progression of diabetes-related vascular complications, contributing to a novel understanding of pathogenesis and prognosis for diabetes and its complications.


  • Open Access

    Waist height ratio predicts chronic kidney disease: a systematic review and meta-analysis, 1998–2019

    by Ling Liu, Yanqiu Wang, Wanjun Zhang, Weiwei Chang, Yuelong Jin, Yingshui Yao

    Background: The incidence of chronic kidney disease (CKD) increases each year, and obesity is an important risk factor for CKD. The main anthropometric indicators currently reflecting obesity are body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR), but the rationality and merits of various indicators vary. This article aims to find whether the WHtR is a more suitable physical measurement that can predict CKD. Methods: Pubmed, embase, the cochrane library, and web of science were systematically searched for articles published between 1998 and 2019 screening CKD through physical indicators. Two reviewers independently screened the literature according to the inclusion and exclusion criteria, extracted the data, and evaluated the quality of the methodology included in the study. Meta-analysis used the Stata 12.0 software. Results: Nine studies were included, with a total of 202,283 subjects. Meta-analysis showed that according to the analysis of different genders in 6 studies, regardless of sex, WHtR was the area with the largest area under the curve (AUC). Except WHtR and visceral fat index (VFI) in women which showed no statistical difference, WHtR and other indicators were statistically different. In three studies without gender-based stratification, the area under the curve AUC for WHtR remained the largest, but only the difference between WHtR and BMI was statistically significant. When the Chinese population was considered as a subgroup, the area under the curve AUC for WHtR was the largest. Except for WHtR and VFI which showed no statistical difference in women, there was a statistically significant difference between WHtR and other indicators in men and women. Conclusion: WHtR could be better prediction for CKD relative to other physical measurements. It also requires higher-quality prospective studies to verify the clinical application of WHtR.