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  1. Article ; Online: Association of Caffeine Consumption and Brain Amyloid Positivity in Cognitively Normal Older Adults.

    Zheng, Yong-Bo / Sun, Jie / Shi, Le / Su, Si-Zhen / Chen, Xuan / Wang, Qian-Wen / Huang, Yue-Tong / Wang, Yi-Jie / Zhu, Xi-Mei / Que, Jian-Yu / Zeng, Na / Lin, Xiao / Yuan, Kai / Yan, Wei / Deng, Jia-Hui / Shi, Jie / Bao, Yan-Ping / Lu, Lin

    Journal of Alzheimer's disease : JAD

    2023  Volume 93, Issue 2, Page(s) 483–493

    Abstract: Background: Several epidemiological studies have reported the protective role of caffeine on health outcomes; however, it remained debatable on caffeine consumption and brain amyloid positivity.: Objective: We aimed to determine the relationship ... ...

    Abstract Background: Several epidemiological studies have reported the protective role of caffeine on health outcomes; however, it remained debatable on caffeine consumption and brain amyloid positivity.
    Objective: We aimed to determine the relationship between caffeine consumption and brain amyloid pathology in cognitively normal older adults.
    Methods: The dataset used for analysis in this cross-sectional study was selected from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) Study. Multivariable logistic regression analyses were performed to explore the association between caffeine consumption and amyloid positivity using odds ratios (ORs) and 95% confidence intervals (CIs).
    Results: In total, 4,394 participants were included in the final analysis. No significant association between caffeine consumption and amyloid positivity was observed in the whole participants (OR, 0.95; 95% CI, 0.78-1.14; p = 0.558). Subgroup analysis showed that caffeine intake was significantly associated with decreased amyloid positivity in males (OR, 0.72; 95% CI, 0.54-0.97; p = 0.032) but not in females (OR, 1.14; 95% CI, 0.90-1.46; p = 0.280), and the association between caffeine and amyloid positivity was not affected by age or APOE genotypes. In addition, different levels of caffeine were not associated with amyloid positivity.
    Conclusion: The findings suggest that caffeine consumption was not significantly associated with amyloid positivity in the whole sample. However, caffeine consumption may be inversely associated with amyloid positivity among males but not females. More studies are needed to explore the mechanisms underlying caffeine consumption and brain amyloid positivity.
    MeSH term(s) Male ; Humans ; Aged ; Caffeine ; Amyloid beta-Peptides/metabolism ; Cross-Sectional Studies ; Brain/pathology ; Amyloidogenic Proteins ; Positron-Emission Tomography ; Alzheimer Disease/epidemiology ; Alzheimer Disease/pathology
    Chemical Substances Caffeine (3G6A5W338E) ; Amyloid beta-Peptides ; Amyloidogenic Proteins
    Language English
    Publishing date 2023-04-10
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-220591
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6084: Show issues Location:
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  2. Article ; Online: Accessibility to Digital Mental Health Services among the General Public throughout COVID-19: Trajectories, Influencing Factors and Association with Long-Term Mental Health Symptoms.

    Lu, Zheng-An / Shi, Le / Que, Jian-Yu / Zheng, Yong-Bo / Wang, Qian-Wen / Liu, Wei-Jian / Huang, Yue-Tong / Liu, Xiao-Xing / Yuan, Kai / Yan, Wei / Shi, Jie / Bao, Yan-Ping / Lu, Lin

    International journal of environmental research and public health

    2022  Volume 19, Issue 6

    Abstract: Digital mental health services (DMHSs) have great potential for mitigating the mental health burden related to COVID-19, but public accessibility (ease of acquiring services when needed) to DMHSs during the pandemic is largely unknown. Accessibility to ... ...

    Abstract Digital mental health services (DMHSs) have great potential for mitigating the mental health burden related to COVID-19, but public accessibility (ease of acquiring services when needed) to DMHSs during the pandemic is largely unknown. Accessibility to DMHSs was tracked longitudinally among a nationwide sample of 18,804 adults in China from before to one year after COVID-19 outbreak. Unconditional and conditional latent growth curve models and latent growth mixture models were fitted to explore the overall growth trend, influencing factors, and latent trajectory classes of accessibility to DMHSs throughout COVID-19. Generalized estimating equation models and generalized linear mixed models were employed to explore the association between accessibility to DMHSs and long-term mental health symptoms. We found that people generally reported increased difficulty in accessing DMHSs from before to one year after COVID-19 outbreak. Males, youngsters, individuals with low socioeconomic status, and individuals greatly affected by COVID-19 reported greater difficulty in accessing DMHSs. Four DMHS accessibility trajectory classes were identified: "lowest-great increase" (6.3%), "moderate low-slight increase" (44.4%), "moderate high-slight decrease" (18.1%) and "highest-great decrease" (31.2%). Trajectory classes reporting greater difficulty in accessing DMHSs were at higher risk for long-term mental symptoms. In conclusion, an overall increase in difficulty in accessing DMHSs is observed throughout COVID-19, and heterogeneity exists in DMHS accessibility trajectories. Our results suggest that easy access to DMHSs should be consistently facilitated. Moreover, access gaps should be reduced across demographic groups, and target populations for service allocation should alter as the pandemic evolves.
    MeSH term(s) Adult ; COVID-19/epidemiology ; Health Services Accessibility ; Humans ; Male ; Mental Disorders/epidemiology ; Mental Health ; Mental Health Services
    Language English
    Publishing date 2022-03-17
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph19063593
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Long-term psychological profile of general population following COVID-19 outbreak: symptom trajectories and evolution of psychopathological network.

    Lu, Zheng-An / Shi, Le / Que, Jian-Yu / Zheng, Yong-Bo / Wang, Qian-Wen / Liu, Wei-Jian / Huang, Yue-Tong / Shi, Jie / Bao, Yan-Ping / Lu, Lin

    Epidemiology and psychiatric sciences

    2022  Volume 31, Page(s) e69

    Abstract: Aims: COVID-19 has long-term impacts on public mental health, while few research studies incorporate multidimensional methods to thoroughly characterise the psychological profile of general population and little detailed guidance exists for mental ... ...

    Abstract Aims: COVID-19 has long-term impacts on public mental health, while few research studies incorporate multidimensional methods to thoroughly characterise the psychological profile of general population and little detailed guidance exists for mental health management during the pandemic. This research aims to capture long-term psychological profile of general population following COVID-19 by integrating trajectory modelling approaches, latent trajectory pattern identification and network analyses.
    Methods: Longitudinal data were collected from a nationwide sample of 18 804 adults in 12 months after COVID-19 outbreak in China. Patient Health Questionnaire-9, Generalised Anxiety Disorder-7 and Insomnia Severity Index were used to measure depression, anxiety and insomnia, respectively. The unconditional and conditional latent growth curve models were fitted to investigate trajectories and long-term predictors for psychological symptoms. We employed latent growth mixture model to identify the major psychological symptom trajectory patterns, and ran sparse Gaussian graphical models with graphical lasso to explore the evolution of psychopathological network.
    Results: At 12 months after COVID-19 outbreak, psychological symptoms generally alleviated, and five psychological symptom trajectories with different demographics were identified: normal stable (63.4%), mild stable (15.3%), mild-increase to decrease (11.7%), mild-decrease to increase (4.0%) and moderate/severe stable (5.5%). The finding indicated that there were still about 5% individuals showing consistently severe distress and approximately 16% following fluctuating psychological trajectories, who should be continuously monitored. For individuals with persistently severe trajectories and those with fluctuating trajectories, central or bridge symptoms in the network were mainly 'motor abnormality' and 'sad mood', respectively. Compared with initial peak and late COVID-19 phase, aftermath of initial peak might be a psychologically vulnerable period with highest network connectivity. The central and bridge symptoms for aftermath of initial peak ('appetite change' and 'trouble of relaxing') were totally different from those at other pandemic phases ('sad mood').
    Conclusions: This research identified the overall growing trend, long-term predictors, trajectory classes and evolutionary pattern of psychopathological network of psychological symptoms in 12 months after COVID-19 outbreak. It provides a multidimensional long-term psychological profile of the general population after COVID-19 outbreak, and accentuates the essentiality of continuous psychological monitoring, as well as population- and time-specific psychological management after COVID-19. We believe our findings can offer reference for long-term psychological management after pandemics.
    MeSH term(s) Adult ; COVID-19 ; Depression/psychology ; Disease Outbreaks ; Humans ; SARS-CoV-2 ; Sleep Initiation and Maintenance Disorders/epidemiology
    Language English
    Publishing date 2022-09-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2607964-1
    ISSN 2045-7979 ; 2045-7960
    ISSN (online) 2045-7979
    ISSN 2045-7960
    DOI 10.1017/S2045796022000518
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5143: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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  4. Article: COVID-19 Vaccine-Related Psychological Stress Among General Public in China.

    Zheng, Yong-Bo / Sun, Jie / Liu, Lin / Zhao, Yi-Miao / Yan, Wei / Yuan, Kai / Su, Si-Zhen / Lu, Zheng-An / Huang, Yue-Tong / Zeng, Na / Zhu, Xi-Mei / Gong, Yi-Miao / Lin, Xiao / Meng, Shi-Qiu / Wong, Samuel Yeung Shan / Ran, Mao-Sheng / Shi, Jie / Shi, Le / Kosten, Thomas /
    Bao, Yan-Ping / Lu, Lin

    Frontiers in psychiatry

    2021  Volume 12, Page(s) 774504

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2021-12-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2021.774504
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A systematic review and meta-analysis on the prevalence of stigma in infectious diseases, including COVID-19: a call to action.

    Yuan, Kai / Huang, Xiao-Lin / Yan, Wei / Zhang, Yu-Xin / Gong, Yi-Miao / Su, Si-Zhen / Huang, Yue-Tong / Zhong, Yi / Wang, Yi-Jie / Yuan, Ze / Tian, Shan-Shan / Zheng, Yong-Bo / Fan, Teng-Teng / Zhang, Ying-Jian / Meng, Shi-Qiu / Sun, Yan-Kun / Lin, Xiao / Zhang, Tian-Ming / Ran, Mao-Sheng /
    Wong, Samuel-Yeung-Shan / Rüsch, Nicolas / Shi, Le / Bao, Yan-Ping / Lu, Lin

    Molecular psychiatry

    2021  Volume 27, Issue 1, Page(s) 19–33

    Abstract: Infectious diseases, including COVID-19, are crucial public health issues and may lead to considerable fear among the general public and stigmatization of, and discrimination against, specific populations. This meta-analysis aimed to estimate the pooled ... ...

    Abstract Infectious diseases, including COVID-19, are crucial public health issues and may lead to considerable fear among the general public and stigmatization of, and discrimination against, specific populations. This meta-analysis aimed to estimate the pooled prevalence of stigma in infectious disease epidemics. We systematically searched PubMed, PsycINFO, Embase, MEDLINE, Web of Science, and Cochrane databases since inception to June 08, 2021, and reported the prevalence of stigma towards people with infectious diseases including SARS, H1N1, MERS, Zika, Ebola, and COVID-19. A total of 50 eligible articles were included that contributed 51 estimates of prevalence in 92722 participants. The overall pooled prevalence of stigma across all populations was 34% [95% CI: 28-40%], including enacted stigma (36% [95% CI: 28-44%]) and perceived stigma (31% [95% CI: 22-40%]). The prevalence of stigma in patients, community population, and health care workers, was 38% [95% CI: 12- 65%], 36% [95% CI: 28-45%], and 30% [95% CI: 20-40%], respectively. The prevalence of stigma in participants from low- and middle-income countries was 37% [95% CI: 29-45%], which is higher than that from high-income countries (27% [95% CI: 18-36%]) though this difference was not statistically significant. A similar trend of prevalence of stigma was also observed in individuals with lower education (47% [95% CI: 23-71%]) compared to higher education level (33% [95% CI: 23-4%]). These findings indicate that stigma is a significant public health concern, and effective and comprehensive interventions are needed to counteract the damaging effects of the infodemics during infectious disease epidemics, including COVID-19, and reduce infectious disease-related stigma.
    MeSH term(s) COVID-19 ; Communicable Diseases ; Humans ; Influenza A Virus, H1N1 Subtype ; Prevalence ; Zika Virus ; Zika Virus Infection
    Language English
    Publishing date 2021-09-27
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
    ZDB-ID 1330655-8
    ISSN 1476-5578 ; 1359-4184
    ISSN (online) 1476-5578
    ISSN 1359-4184
    DOI 10.1038/s41380-021-01295-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4812: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: A systematic review and meta-analysis on prevalence of and risk factors associated with depression, anxiety and insomnia in infectious diseases, including COVID-19: a call to action.

    Yuan, Kai / Zheng, Yong-Bo / Wang, Yi-Jie / Sun, Yan-Kun / Gong, Yi-Miao / Huang, Yue-Tong / Chen, Xuan / Liu, Xiao-Xing / Zhong, Yi / Su, Si-Zhen / Gao, Nan / Lu, Yi-Long / Wang, Zhe / Liu, Wei-Jian / Que, Jian-Yu / Yang, Ying-Bo / Zhang, An-Yi / Jing, Meng-Ni / Yuan, Chen-Wei /
    Zeng, Na / Vitiello, Michael V / Patel, Vikram / Fazel, Seena / Minas, Harry / Thornicroft, Graham / Fan, Teng-Teng / Lin, Xiao / Yan, Wei / Shi, Le / Shi, Jie / Kosten, Thomas / Bao, Yan-Ping / Lu, Lin

    Molecular psychiatry

    2022  Volume 27, Issue 8, Page(s) 3214–3222

    Abstract: Infectious disease epidemics have become more frequent and more complex during the ... ...

    Abstract Infectious disease epidemics have become more frequent and more complex during the 21
    MeSH term(s) Pregnancy ; Female ; Humans ; Aged ; COVID-19/epidemiology ; Pandemics ; Sleep Initiation and Maintenance Disorders/epidemiology ; Prevalence ; Depression/epidemiology ; Depression/etiology ; SARS-CoV-2 ; Anxiety/epidemiology ; Anxiety/etiology ; Risk Factors ; Communicable Diseases/epidemiology
    Language English
    Publishing date 2022-06-06
    Publishing country England
    Document type Meta-Analysis ; Systematic Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 1330655-8
    ISSN 1476-5578 ; 1359-4184
    ISSN (online) 1476-5578
    ISSN 1359-4184
    DOI 10.1038/s41380-022-01638-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4812: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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