Browsing by Author "Wang, Qianjin"
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Item A brainnetome atlas-based methamphetamine dependence identification using neighborhood component analysis and machine learning on functional MRI data(2022) Zhou, Yanan; Tang, Jingsong; Sun, Yunkai; Yang, Winson Fu Zun (TTU); Ma, Yuejiao; Wu, Qiuxia; Chen, Shubao; Wang, Qianjin; Hao, Yuzhu; Wang, Yunfei; Li, Manyun; Liu, Tieqiao; Liao, YanhuiAddiction to methamphetamine (MA) is a major public health concern. Developing a predictive model that can classify and characterize the brain-based biomarkers predicting MA addicts may directly lead to improved treatment outcomes. In the current study, we applied the support vector machine (SVM)-based classification method to resting-state functional magnetic resonance imaging (rs-fMRI) data obtained from individuals with methamphetamine use disorder (MUD) and healthy controls (HCs) to identify brain-based features predictive of MUD. Brain connectivity analyses were conducted for 36 individuals with MUD as well as 37 HCs based on the brainnetome atlas, and the neighborhood component analysis was applied for feature selection. Eighteen most relevant features were screened out and fed into the SVM to classify the data. The classifier was able to differentiate individuals with MUD from HCs with a high prediction accuracy, sensitivity, specificity, and AUC of 88.00, 86.84, 89.19, and 0.94, respectively. The top six discriminative features associated with changes in the functional activity of key nodes in the default mode network (DMN), all the remaining discriminative features are related to the thalamic connections within the cortico-striato-thalamo-cortical (CSTC) loop. In addition, the functional connectivity (FC) between the bilateral inferior parietal lobule (IPL) and right cingulate gyrus (CG) was significantly correlated with the duration of methamphetamine use. The results of this study not only indicated that MUD-related FC alterations were predictive of group membership, but also suggested that machine learning techniques could be used for the identification of MUD-related imaging biomarkers.Item Association between white matter microstructure and cognitive function in patients with methamphetamine use disorder(2023) Zhou, Yanan; Hu, Yang; Wang, Qianjin; Yang, Zhi; Li, Jinguang; Ma, Yuejiao; Wu, Qiuxia; Chen, Shubao; Yang, Dong; Hao, Yuzhu; Wang, Yunfei; Li, Manyun; Peng, Pu; Liu, Tieqiao; Yang, Winson Fu Zun (TTU)Methamphetamine use disorder (MUD) has been associated with broad neurocognitive impairments. While the cognitive impairments of MUD have been demonstrated, the neuropathological underpinnings remain inadequately understood. To date, the published human diffusion tensor imaging (DTI) studies involving the correlation between diffusion parameters and neurocognitive function in MUD are limited. Hence, the present study aimed to examine the association between cognitive performance and white matter microstructure in patients with MUD. Forty-five patients with MUD and 43 healthy controls (HCs) completed their demographic information collection, cognitive assessments, and DTI imaging. DTI images were preprocessed to extract fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of various fiber tracts. Univariate tests were used to examine group differences in cognitive assessments and DTI metrics. Linear regression was used to examine the relationship between these two metrics. The results revealed that patients with MUD had lower subset scores of the MATRICS Consensus Cognitive Battery (MCCB), which reflects five cognitive domains: processing speed, attention, verbal learning, visual learning, problem-solving. Patients with MUD also had significantly higher AD, MD, and RD values of the left superior longitudinal fasciculus than HCs. Furthermore, the RD value of the left superior longitudinal fasciculus was a significant predictor of processing speed and problem-solving ability, as shown by the digit-symbol coding test and NAB-Mazes scores, respectively. Findings extended our understanding of white matter microstructure that is related to neurocognitive deficits in MUD and provided potential targets for the prevention and treatment of this chronic disorder.Item Comparison of Thyroid Hormone Levels Between Patients With Major Depressive Disorder and Healthy Individuals in China(2021) Zhou, Yanan; Ma, Yuejiao; Wu, Qiuxia; Wang, Qianjin; Yang, Winson Fu Zun (TTU); Wang, Yunfei; Yang, Dong; Luo, Yinli; Tang, Kewei; Liu, Tieqiao; Wang, DongfangAbnormal thyroid function in major depressive disorder (MDD) has been studied extensively, but the results still remain inconsistent. In China, few large-scale studies have investigated the differences in the levels of thyroid hormones between patients with MDD and healthy controls (HCs). In this retrospective, cross-sectional study, 535 MDD patients and 998 HCs were included. We compared the levels of thyroid hormones (FT3, FT4, and TSH) between the two groups, as well as investigated the distribution of levels of thyroid hormones within and outside normal ranges. The results showed that all the three hormones were significantly lower in MDD patients than in HCs, which was also true in different gender and age subgroups. The proportion of subjects with levels of all the three hormones outside the normal range in the MDD group was higher than that in the HC group (all p < 0.05). However, no significant difference was found in clinical/subclinical hyperthyroidism or hypothyroidism between the two groups (p > 0.05). Our study showed that the levels of thyroid hormones were lower in MDD patients, suggesting that there was an association between abnormal thyroid function and depression. The higher rate of thyroid dysfunction in MDD patients indicated the importance of regular monitoring of thyroid function.Item Doctor-patient relationship improved during COVID-19 pandemic, but weakness remains(2021) Zhou, Yanan; Ma, Yuejiao; Yang, Winson Fu Zun; Wu, Qiuxia; Wang, Qianjin; Wang, Dongfang; Ren, Honghong; Luo, Yinli; Yang, Dong; Liu, Tieqiao; Wu, XiaomingObjective: To assess the quality of the doctor-patient relationship (DPR) in China and possible influencing factors during the COVID-19 period from the patient’s perspective. Methods: An online survey was carried out nationwide from March 12, 2020 to March 30, 2020 in China via a convenience sampling strategy. Patients who met the inclusion criteria were invited to complete a questionnaire regarding the quality of DPR, including sociodemographic information, the Patient-Doctor Relationship Questionnaire (PDRQ-9), and influencing factors for DPR during the pandemic. Results: A total of 1903 patients were included. Our result showed that participants had a higher PDRQ-9 score during the COVID-19 pandemic (4.18 ± 0.51) than that before the COVID-19 pandemic (3.86 ± 0.67). Importance-performance analysis (IPA) revealed that doctor-patient communication, patient satisfaction, consultation time, doctor’s attitude, and medical knowledge were specific aspects that needed to be prioritized to improve the DPR. Multiple linear regression analysis suggested that positive media reports, telemedicine, and national policies had a significantly positive effect on the DPR during the pandemic (P < 0.05). Conclusion: In general, the DPR had been improved during the COVID-19 pandemic. Our research found the key points that needed to be prioritized to improve the DPR during the pandemic, which may provide effective suggestions for building a harmonious DPR in the future.Item Effectiveness of a text-messaging-based smoking cessation intervention (“Happy Quit”) for smoking cessation in China: A randomized controlled trial(2018) Liao, Yanhui; Wu, Qiuxia; Kelly, Brian C.; Zhang, Fengyu; Tang, Yi Yuan (TTU); Wang, Qianjin; Ren, Honghong; Hao, Yuzhu; Yang, Mei; Cohen, Joanna; Tang, JinsongBackground: China has the highest global prevalence of cigarette smokers, accounting for more than 40% of the total cigarette consumption in the world. Considering the shortage of smoking cessation services in China, and the acceptability, feasibility, and efficacy of mobile-phone-based text messaging interventions for quitting smoking in other countries, we conducted a mobile-phone-based smoking cessation study in China. Methods and findings: We conducted a randomized controlled trial in China across 30 cities and provinces from August 17, 2016, to May 27, 2017. Adult smokers aged 18 years and older with the intention to quit smoking were recruited and randomized to a 12-week high-frequency messaging (HFM) or low-frequency messaging (LFM) intervention (“Happy Quit”) or to a control group in a 5:2:3 ratio. The control group received only text messages unrelated to quitting. The primary outcome was biochemically verified continuous smoking abstinence at 24 weeks. Secondary outcomes included (1) self-reported 7-day point prevalence of abstinence (i.e., not even a puff of smoke, for the last 7 days) at 1, 4, 8, 12, 16, 20, and 24 weeks; (2) self-reported continuous abstinence at 4, 12, and 24 weeks; and (3) self-reported average number of cigarettes smoked per day. A total of 1,369 participants received 12 weeks of intervention or control text messages with continued follow-up for 12 weeks. The baseline characteristics of participants among the HFM (n = 674), LFM (n = 284), and control (n = 411) groups were similar. The study sample included 1,295 (94.6%) men; participants had a mean age of 38.1 (SD 9.79) years and smoked an average of 20.1 (SD 9.19) cigarettes per day. We included the participants in an intention-to-treat analysis. Biochemically verified continuous smoking abstinence at 24 weeks occurred in 44/674 participants in the HFM group (6.5%), 17/284 participants in the LFM group (6.0%), and 8/411 participants (1.9%) in the control group; participants in both the HFM (odds ratio [OR] = 3.51, 95% CI 1.64–7.55, p < 0.001) and the LFM (OR = 3.21, 95% CI 1.36–7.54], p = 0.002) intervention groups were more likely to quit smoking than those in the control group. However, there was no difference in quit rate between the HFM and LFM interventions. We also found that the 7-day point quit rate from week 1 to week 24 ranged from approximately 10% to more than 26% with the intervention and from less than 4% to nearly 12% without the intervention. Those who continued as smokers in the HFM group smoked 1 to 3 fewer cigarettes per day than those in the LFM group over the 24 weeks of trial. Among study limitations, the participants were able to use other smoking cessation services (although very few participants reported using them), cotinine tests can only detect smoking status for a few days, and the proportion of quitters was small. Conclusions: Our findings demonstrate that a mobile-phone-based text messaging intervention (Happy Quit), with either high- or low-frequency messaging, led to smoking cessation in the present study, albeit in a low proportion of smokers, and can therefore be considered for use in large-scale intervention efforts in China. Mobile-phone-based interventions could be paired with other smoking cessation services for treatment-seeking smokers in China. Trial registration: ClinicalTrials.gov NCT02693626.Item Factors of Negative Affect in Elderly Patients With Substance Use Disorders During COVID-19 Pandemic(2021) Wang, Qianjin; Wang, Yingying; Zuo, Jinsong; Zhou, Yanan; Yang, Winson Fu Zun (TTU); Liao, Yanhui; Tang, Jinsong; Wang, Xin; Yang, Qian; Wu, Qiuxia; Wu, Hanjing Emily; Goodman, Colin B.; Liu, Tieqiao; Zhang, XiangyangBackground: The outbreak of the novel coronavirus disease 2019 (COVID-19) has become the greatest public health emergency and has attracted global attention. During the COVID-19 pandemic, the negative affect (NA) of elderly patients with substance use disorders (SUDs) has also become a more serious public concern. The current study aims to clarify the NA and its influencing factors in elderly patients with SUDs during the pandemic. Methods: Two psychiatrists conducted semi-structured interviews with 77 SUD patients aged above 50 years to collect their demographical information and certain drug use characteristics. Barratt Impulse Scale and the Positive and Negative Affect Scale were used to obtain information about patients' self-reported impulsivity and NA. Results: Univariate linear regression analysis showed that NA was positively correlated with the frequency of drug use, type of SUDs, cravings during COVID-19, and impulsivity. Multiple linear regression analysis showed that being female, higher frequency of drug use, stronger cravings, and greater impulsiveness jointly accounted for the variation of NA in elderly patients with SUDs. Conclusions: This study confirmed that, during the COVID-19 pandemic, gender, frequency of drug use, cravings, and impulsivity were associated with NA in elderly patients with SUDs. This study provided a theoretical basis for clinicians to reduce the patients' NA.Item Gender differences in alcohol abuse/dependence among medical undergraduates during the post-COVID‑19 pandemic period (October 20, 2020-April 5, 2021) in China(2023) Wang, Xin; Peng, Pu; Liu, Yueheng; Yang, Winson Fuzun (TTU); Chen, Shubao; Wang, Yunfei; Yang, Qian; Li, Manyun; Wang, Yingying; Hao, Yuzhu; He, Li; Wang, Qianjin; Zhang, Junhong; Ma, Yuejiao; He, Haoyu; Zhou, Yanan; Long, Jiang; Qi, Chang; Tang, Yi Yuan; Liao, Yanhui; Tang, Jinsong; Wu, Qiuxia; Liu, TieqiaoBackground: This study aimed to assess the prevalence and the gender-specific risk factors of alcohol abuse/dependence among medical undergraduates during the post-COVID‑19 pandemic period in China. Method: The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) was used to identify respondents with alcohol abuse/dependence. A questionnaire on basic demographics and mental distresses (learning burnout, depression symptoms, anxiety symptoms, excessive daytime sleepiness, and history of mental disorders) was used. The logistic regression model was used to explore the associations between the above characteristics and alcohol abuse/dependence. Results: A total of 3,412 medical undergraduates were included in the analysis. Males showed a higher prevalence of alcohol abuse/dependence than females (16.6% vs 7.4%, p < 0.001). Alcohol abuse/dependence was associated with learning burnout (OR: 2.168, p < 0.001) and having a partner (OR: 1.788 p = 0.001) among female medical undergraduates. Among male medical undergraduates, excessive daytime sleepiness (OR: 1.788 p = 0.001) and older age (OR: 1.788, p = 0.001) were independently associated with alcohol abuse/dependence. Conclusion: Alcohol abuse/dependence was common among medical undergraduates during the post-COVID‑19 pandemic period. Substantial gender differences in the prevalence and risk factors of alcohol abuse/dependence were found among medical undergraduates in this study, which highlighted the need for timely gender-specific screening and interventions. However, the cross-sectional design adopted in this study has limited the examination of causality, thus further longitudinal studies are warranted.Item High prevalence and risk factors of dropout intention among Chinese medical postgraduates(2022) Peng, Pu; Yang, Winson Fuzun (TTU); Liu, Yueheng; Chen, Shubao; Wang, Yunfei; Yang, Qian; Wang, Xin; Li, Manyun; Wang, Yingying; Hao, Yuzhu; He, Li; Wang, Qianjin; Zhang, Junhong; Ma, Yuejiao; He, Haoyu; Zhou, Yanan; Long, Jiang; Qi, Chang; Tang, Yi Yuan; Liao, Yanhui; Tang, Jinsong; Wu, Qiuxia; Liu, TieqiaoBackground: A high attrition rate in medical students has exacerbated the physician shortage in China. However, few studies have explored the risk factors of dropout intention in medical postgraduates. This study compared the prevalence of dropout intention and mental distress between medical and non-medical postgraduates in China and investigated risk factors for dropout intention. This study also explored the impact of medical postgraduates’ perception of the Chinese healthcare environment on their mental status and dropout intention. Methods: This cross-sectional study was conducted using online questionnaires from October 2020 to April 2021. Convenience sampling was used to recruit postgraduates in different majors. Outcomes included dropout intention and potential risk factors, including mental distress, quality of life, and fatigue. Medical postgraduates were additionally assessed for healthcare environment satisfaction, burnout, career choice regret, and experiences of workplace violence. A logistic regression model was constructed to evaluate the association between dissatisfaction, mental distress, and turnover intention. Results: A total of 740 medical and 670 non-medical postgraduates participated in the survey. The rates of depression symptoms (33.8% vs. 39.0%, p < 0.001), anxiety symptoms (22.2% vs. 32.4%, p < 0.001), and somatic symptoms (34.7% vs. 42.4%, p = 0.004) were lower in medical postgraduates, while more medical postgraduates (58.4% vs. 48.4%, p < 0.001) reported dropout intention. Dissatisfaction with the healthcare environment (odds ratio [OR]: 1.65; 95% confidence interval [CI]: 1.17–2.34, p = 0.005), career choice regret (OR: 6.23; 95% CI: 4.42–8.78, p < 0.001), and high perceived stress (OR: 2.74; 95%CI: 1.90–3.94, p < 0.001) remained independently associated with turnover intention. Conclusions: Mental distress is common among postgraduates, calling for timely interventions. Medical postgraduates reported higher turnover intention. Healthcare environment perception also affected the mental health and dropout intentions of medical students. A decent future income, reduced workload, shorter duration medical training, and better doctor-patient relationships are urgently needed.Item Prevalence and related factors of anxiety in first episode and drug naïve Chinese Han outpatients with psychotic major depression(2022) Zhou, Yanan; Wang, Qianjin; Ren, Honghong; Yang, Winson Fu Zun (TTU); Ma, Yuejiao; Wu, Qiuxia; Luo, Yinli; Yang, Dong; Liu, Tieqiao; Zhang, XiangyangBackground: Anxiety frequently occurs with major depressive disorder (MDD) but to a different extent in the various subtypes. Psychotic major depression (PMD) is a severe subtype of MDD that is under-identified and under-studied. We investigated the prevalence and related risk factors of anxiety in PMD patients. Methods: A total of 1718 first episode and drug naïve MDD patients were recruited. Measures included the Hamilton Depression Scale (HAMD), Clinical Global Impression-Severity scale (CGI-S), Hamilton Anxiety Scale (HAMA), and positive symptom scale of the Positive and Negative Syndrome Scale (PANSS), thyroid hormone levels, and metabolic parameters. Results: 171 of the entire MDD study sample met the criteria for the PMD subtype. The prevalence of severe anxiety was much higher in PMD patients (22.8 %) than in non-PMD patients (0.4 %) (χ2 = 294.69, P < 0.001, OR = 75.88, 95 % CI = 31.55–182.52). Compared to PMD patients without severe anxiety, PMD patients with severe anxiety had higher HAMD score, CGI-S score, positive symptom subscale score, suicide attempts, blood pressure, thyroid-stimulating hormone (TSH), anti-thyroglobulin (TgAb), and thyroid peroxidases antibody (TPOAb) levels. Furthermore, logistic regression analysis indicated that HAMD score and TSH levels were associated with severe anxiety in PMD patients. Limitations: Our cross-sectional study cannot explain the causal relationship between anxiety severity and risk factors in PMD patients. Conclusions: Our results suggest that PMD patients are more likely to experience severe anxiety than non-PMD patients. The severity of depression and TSH levels are independent risk factors for anxiety in PMD patients.Item Regional Homogeneity Abnormalities and Its Correlation With Impulsivity in Male Abstinent Methamphetamine Dependent Individuals(2022) Zhou, Yanan; Wang, Qianjin; Ren, Honghong; Wang, Xuyi; Liao, Yanhui; Yang, Zhi; Hao, Yuzhu; Wang, Yunfei; Li, Manyun; Ma, Yuejiao; Wu, Qiuxia; Wang, Yingying; Yang, Dong; Xin, Jiang; Yang, Winson Fu Zun (TTU); Wang, Long; Liu, TieqiaoMethamphetamine (MA) use affects the brain structure and function. However, no studies have investigated the relationship between changes in regional homogeneity (ReHo) and impulsivity in MA dependent individuals (MADs). The aim of this study was to investigate the changes of brain activity under resting state in MADs and their relationship to impulsivity using ReHo method. Functional magnetic resonance imaging (fMRI) was performed to collect data from 46 MADs and 44 healthy controls (HCs) under resting state. ReHo method was used to investigate the differences in average ReHo values between the two groups. The ReHo values abnormalities of the brain regions found in inter-group comparisons were extracted and correlated with impulsivity. Compared to the HCs, MADs showed significant increased ReHo values in the bilateral striatum, while the ReHo values of the bilateral precentral gyrus and the bilateral postcentral gyrus decreased significantly. The ReHo values of the left precentral gyrus were negatively correlated with the BIS-attention, BIS-motor, and BIS-nonplanning subscale scores, while the ReHo values of the postcentral gyrus were only negatively correlated with the BIS-motor subscale scores in MADs. The abnormal spontaneous brain activity in the resting state of MADs revealed in this study may further improve our understanding of the neuro-matrix of MADs impulse control dysfunction and may help us to explore the neuropathological mechanism of MADs related dysfunction and rehabilitation.Item Workplace violence inflicted by patients or their family members/visitors and its relationship with suicidal ideation among undergraduate medical students during clinical training in China(2023) Wang, Xin; Peng, Pu; Liu, Yueheng; Yang, Winson Fuzun (TTU); Chen, Shubao; Wang, Yunfei; Yang, Qian; Li, Manyun; Wang, Yingying; Hao, Yuzhu; He, Li; Wang, Qianjin; Zhang, Junhong; Ma, Yuejiao; He, Haoyu; Zhou, Yanan; Long, Jiang; Qi, Chang; Tang, Yi Yuan; Liao, Yanhui; Tang, Jinsong; Wu, Qiuxia; Liu, TieqiaoBackground: Workplace violence in healthcare settings is a significant public concern that profoundly impacts healthcare workers. However, there is a dearth of knowledge regarding the prevalence of workplace violence and its correlation with suicidal ideation among undergraduate medical students in China during their clinical training. The objective of this study was to evaluate the prevalence of workplace violence inflicted by patients or their family members/visitors and to assess its association with suicidal ideation among undergraduate medical students. Method: The snowballing sampling technique was used to recruit Chinese medical students. A question designed by the research team was used to ask medical students about their encounters with workplace violence. Students’ basic demographic information and mental distresses (learning burnout, depression symptoms, anxiety symptoms, alcohol abuse/dependence, excessive daytime sleepiness and history of mental disorders) were also assessed. As appropriate, the data were analysed using descriptive statistics, chi-square tests, independent-sample t-tests and multiple logistic regression. Results: Out of the 1402 undergraduate medical students who participated, 493 (35.2%) reported having experienced workplace violence inflicted by patients or their family members/visitors, of which 394 (28.1%) were verbal abuse, 14 (1.0%) were physical aggression, and 85 (6.1%) were suffered from both verbal abuse and physical aggression. Furthermore, students exposed to workplace violence were more likely to report suicidal ideation and had a higher prevalence of learning burnout, depression symptoms, anxiety symptoms, alcohol abuse/dependence and excessive daytime sleepiness. Depression symptoms, history of mental disorders, learning burnout and having a partner were significantly associated with suicidal ideation in this population. Conclusion: The prevalence of workplace violence inflicted by patients or their family members/visitors was high among undergraduate medical students in China. This may be associated with their mental distress and suicidal ideation. Consequently, it is crucial to strengthen workplace safety measures and promptly implement interventions to mitigate the potentially serious consequences.