An epidemiological cross-sectional study of prevalence of mental disorders in Dulong nationality of Southwest China

Zhi, Jinsheng; Zhang, Yunqiao; Xu, You; Long, Qing; Zhu, Yu; Liu, Jianping; Wu, Jie; Zhang, JinTao; Wang, Tingting; Teng, Zhaowei; Zeng, Yong

doi:10.1097/md.0000000000021884

Cited by 4 publications

(8 citation statements)

References 13 publications

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“…The present study was administered during the COVID-19 outbreak; it could be more convincing to measure the dependent variable by comparing the severity of depressive symptoms from before and during the pandemic. A nationwide epidemiological study, however, demonstrates a lifetime prevalence rate of 6.8% for depression disorders in China ( 58 ); thus, the prevalence of depressive symptoms is more than two-fold higher during the COVID-19 pandemic compared with before the COVID-19 pandemic.…”

Section: Discussionmentioning

confidence: 99%

Social Media Exposure, Psychological Distress, Emotion Regulation, and Depression During the COVID-19 Outbreak in Community Samples in China

Zhang

Sun

et al. 2021

Front. Psychiatry

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The outbreak of coronavirus disease 2019 (COVID-19) has been a global emergency, affecting millions of individuals both physically and psychologically. The present research investigated the associations between social media exposure and depression during the COVID-19 outbreak by examining the mediating role of psychological distress and the moderating role of emotion regulation among members of the general public in China. Participants (N = 485) completed a set of questionnaires online, including demographic information, self-rated physical health, and social media exposure to topics related to COVID-19. The Impact of Event Scale-Revised (IES-R), the Beck Depression Inventory-II (BDI-II), and the Emotion Regulation Questionnaire (ERQ) were utilized to measure psychological distress about COVID-19, depression, and emotion regulation strategies, respectively. Results found that older age and greater levels of social media exposure were associated with more psychological distress about the virus (r = 0.14, p = 0.003; r = 0.22, p < 0.001). Results of the moderated mediation model suggest that psychological distress mediated the relationship between social media exposure and depression (β = 0.10; Boot 95% CI = 0.07, 0.15). Furthermore, expressive suppression moderated the relationship between psychological distress and depression (β = 0.10, p = 0.017). The findings are discussed in terms of the need for mental health assistance for individuals at high risk of depression, including the elderly and individuals who reported greater psychological distress and those who showed preference usage of suppression, during the COVID-19 crisis.

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Section: Discussionmentioning

confidence: 99%

Social Media Exposure, Psychological Distress, Emotion Regulation, and Depression During the COVID-19 Outbreak in Community Samples in China

Zhang

Sun

et al. 2021

Front. Psychiatry

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“…Many psychosocial factors, such as psychological resilience and social support, have been demonstrated as crucial regulators in multisystemic processes that can contribute to positive outcomes ( 16 , 17 ). In addition, demographic characteristics, sleep quality, and screen time were reported to influence a wide range of cognitive and emotional functions ( 18 – 22 ). However, the importance of these factors in the development of mood disorders in adolescents during the pandemic still eludes researchers, and practical strategies for mental health education are limited.…”

Section: Introductionmentioning

confidence: 99%

What Factors Are Most Closely Associated With Mood Disorders in Adolescents During the COVID-19 Pandemic? A Cross-Sectional Study Based on 1,771 Adolescents in Shandong Province, China

et al. 2021

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Background and Aims: COVID-19 has been proven to harm adolescents' mental health, and several psychological influence factors have been proposed. However, the importance of these factors in the development of mood disorders in adolescents during the pandemic still eludes researchers, and practical strategies for mental health education are limited.Methods: We constructed a sample of 1,771 adolescents from three junior high middle schools, three senior high middle schools, and three independent universities in Shandong province, China. The sample stratification was set as 5:4:3 for adolescent aged from 12 – 15, 15 – 18, 18 – 19. We examined the subjects' anxiety, depression, psychological resilience, perceived social support, coping strategies, subjective social/school status, screen time, and sleep quality with suitable psychological scales. We chose four widely used classification models-k-nearest neighbors, logistic regression, gradient-boosted decision tree (GBDT), and a combination of the GBDT and LR (GBDT + LR)-to construct machine learning models, and we utilized the Shapley additive explanations value (SHAP) to measure how the features affected the dependent variables. The area under the curve (AUC) of the receiver operating characteristic (ROC) curves was used to evaluate the performance of the models.Results: The current rates of occurrence of symptoms of anxiety and depression were 28.3 and 30.8% among the participants. The descriptive and univariate analyses showed that all of the factors included were statistically related to mood disorders. Among the four machine learning algorithms, the GBDT+LR algorithm achieved the best performance for anxiety and depression with average AUC values of 0.819 and 0.857. We found that the poor sleep quality was the most significant risk factor for mood disorders among Chinese adolescents. In addition, according to the feature importance (SHAP) of the psychological factors, we proposed a five-step mental health education strategy to be used during the COVID-19 pandemic (sleep quality-resilience-coping strategy-social support-perceived social status).Conclusion: In this study, we performed a cross-sectional investigation to examine the psychological impact of COVID-19 on adolescents. We applied machine learning algorithms to quantify the importance of each factor. In addition, we proposed a five-step mental health education strategy for school psychologists.

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“…As per our inclusion criteria, we excluded studies of adults with psychiatric or other mental health problems. Therefore, 14 peer-reviewed articles (31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44) were included in this systematic review and meta-analysis; 9 of them were suitable for analysis of the 1-year prevalence of AUD, 6 for analysis of the lifetime prevalence of AUD, 9 for analysis of the prevalence of alcohol abuse, and 8 for analysis of the prevalence of alcohol dependence.…”

Section: Search Resultsmentioning

confidence: 99%

“…The sample size of the included studies ranged from 258 to 36,157 participants, and they were published from 2005 to 2021. Most of the studies (32)(33)(34)(35)(36)(38)(39)(40)(41)(42)(43)(44) were cross-sectional, although there was one case-control (31), one cohort (37), and one comparative cross-sectional study (38). Most of the included studies were from China (31,32,35,39,(42)(43)(44), followed by Korea (33,38,41), Japan (34,40), Taiwan (37), and Hong Kong (36).…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

Magnitude and determinants of alcohol use disorder among adult population in East Asian countries: A systematic review and meta-analysis

Belay

Lam²,

Liu³

et al. 2023

Front. Public Health

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IntroductionAlcohol use disorder is a medical condition characterized by an impaired ability to control or stop alcohol use despite adverse health outcomes. Despite several studies that have analyzed the prevalence and determinants, their results have been equivocal, and the reasons for the differences in prevalence rates and determinants of AUD across nationalities are unknown. Hence, this study estimated the pooled prevalence of alcohol use disorder and its determinant among adults in East Asian countries.MethodsArticles were searched from PubMed, Web of Science, EMBASE, PsycINFO, and Scopus. All observational study designs that fulfilled the predefined criteria were included in the study. The findings were reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The quality and heterogeneity of articles were assessed using the new castle-Ottawa scale (NOS) and I2, respectively. Additionally, publication bias was checked through funnel plot and Egger's regression test.ResultsA total of 14 articles with 93, 161 study participants were considered in the study. Of which 9 studies were included in the meta-analysis of the 1-year prevalence of alcohol use disorder, 6 in the lifetime, 9 in alcohol abuse, and 8 in alcohol dependency. Consequently, the overall pooled prevalence of one-year alcohol use disorder was 8.88% (95% CI: 6.32, 11.44), lifetime 13.41% (95%CI: 8.48, 18.34), alcohol abuse 5.4% (95% CI: 2.66, 8.13), and alcohol dependency 4.47% (95% CI: 2.66, 6.27). In the subgroup analysis by country, the highest 1-year and lifetime pooled prevalence of alcohol use disorder was observed in Korea at 9.78% (95% CI:4.40, 15.15) and 16.73% (95% CI: 15.31, 18.16), respectively. Besides, smoking (OR: 3.99; 95% CI: 1.65, 6.33) and male gender (OR: 5.9; 95% CI: 3.3, 8.51) were significant determinants of alcohol use disorder.ConclusionsThe magnitude of alcohol use disorder was high among adults in East Asian countries. Smoking and male gender were the key determinants of alcohol use disorders.

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An epidemiological cross-sectional study of prevalence of mental disorders in Dulong nationality of Southwest China

Cited by 4 publications

References 13 publications

Social Media Exposure, Psychological Distress, Emotion Regulation, and Depression During the COVID-19 Outbreak in Community Samples in China

Social Media Exposure, Psychological Distress, Emotion Regulation, and Depression During the COVID-19 Outbreak in Community Samples in China

What Factors Are Most Closely Associated With Mood Disorders in Adolescents During the COVID-19 Pandemic? A Cross-Sectional Study Based on 1,771 Adolescents in Shandong Province, China

Magnitude and determinants of alcohol use disorder among adult population in East Asian countries: A systematic review and meta-analysis

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