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  • 1
    In: BMJ Open, BMJ, Vol. 10, No. 5 ( 2020-05), p. e037297-
    Abstract: Attention deficit hyperactivity disorder (ADHD) is a chronic mental disorder that is associated with poor productivity, with a significant impact on the quality of life. Objectives To determine factors associated with symptoms of ADHD among medical students in Cameroon. Design A web-based cross-sectional study. Setting Participants were recruited through a social media platform, WhatsApp, from 24 June to 2 September 2018. Participants Medical students aged 18 years and older from seven medical schools in Cameroon. All non-medical students and all medical residents were excluded. Results Data from a total of 491 eligible participants were analysed. The median age was 25 (IQR 21–25) years and 54% were of the participants were female. The prevalence of self-reported symptoms of ADHD was 24.4% (95% CI 20.6% to 28.3%). Histories of chronic disease (adjusted OR (AOR) 2.96; 95% CI 1.49 to 5.86, p=0.002), family history of ADHD (AOR 3.38; 95% CI 1.04 to 10.44, p=0.035), severe depression (AOR=3.49; 95% CI 1.82 to 6.77, p 〈 0.001) and anxiety disorder (AOR 2.06; 95% CI 1.25 to 3.36, p=0.004) were found to be independently associated with the symptoms of ADHD. Conclusion ADHD may be a highly prevalent mental disorder among medical students, and is associated with severe depression, anxiety disorders and chronic diseases. There is a need to conduct a large-scale prospective cohort study with interviews to estimate the true prevalence and incidence of ADHD among medical students in Cameroon, and to determinant the risk factors associated with the disorder.
    Type of Medium: Online Resource
    ISSN: 2044-6055 , 2044-6055
    Language: English
    Publisher: BMJ
    Publication Date: 2020
    detail.hit.zdb_id: 2599832-8
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  • 2
    Online Resource
    Online Resource
    American Chemical Society (ACS) ; 2023
    In:  Environmental Science & Technology Letters Vol. 10, No. 10 ( 2023-10-10), p. 865-871
    In: Environmental Science & Technology Letters, American Chemical Society (ACS), Vol. 10, No. 10 ( 2023-10-10), p. 865-871
    Type of Medium: Online Resource
    ISSN: 2328-8930 , 2328-8930
    Language: English
    Publisher: American Chemical Society (ACS)
    Publication Date: 2023
    detail.hit.zdb_id: 2745499-X
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  • 3
    In: Environmental Sciences Europe, Springer Science and Business Media LLC, Vol. 34, No. 1 ( 2022-12)
    Abstract: The NORMAN Association ( https://www.norman-network.com/ ) initiated the NORMAN Suspect List Exchange (NORMAN-SLE; https://www.norman-network.com/nds/SLE/ ) in 2015, following the NORMAN collaborative trial on non-target screening of environmental water samples by mass spectrometry. Since then, this exchange of information on chemicals that are expected to occur in the environment, along with the accompanying expert knowledge and references, has become a valuable knowledge base for “suspect screening” lists. The NORMAN-SLE now serves as a FAIR (Findable, Accessible, Interoperable, Reusable) chemical information resource worldwide. Results The NORMAN-SLE contains 99 separate suspect list collections (as of May 2022) from over 70 contributors around the world, totalling over 100,000 unique substances. The substance classes include per- and polyfluoroalkyl substances (PFAS), pharmaceuticals, pesticides, natural toxins, high production volume substances covered under the European REACH regulation (EC: 1272/2008), priority contaminants of emerging concern (CECs) and regulatory lists from NORMAN partners. Several lists focus on transformation products (TPs) and complex features detected in the environment with various levels of provenance and structural information. Each list is available for separate download. The merged, curated collection is also available as the NORMAN Substance Database (NORMAN SusDat). Both the NORMAN-SLE and NORMAN SusDat are integrated within the NORMAN Database System (NDS). The individual NORMAN-SLE lists receive digital object identifiers (DOIs) and traceable versioning via a Zenodo community ( https://zenodo.org/communities/norman-sle ), with a total of  〉  40,000 unique views,  〉  50,000 unique downloads and 40 citations (May 2022). NORMAN-SLE content is progressively integrated into large open chemical databases such as PubChem ( https://pubchem.ncbi.nlm.nih.gov/ ) and the US EPA’s CompTox Chemicals Dashboard ( https://comptox.epa.gov/dashboard/ ), enabling further access to these lists, along with the additional functionality and calculated properties these resources offer. PubChem has also integrated significant annotation content from the NORMAN-SLE, including a classification browser ( https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101 ). Conclusions The NORMAN-SLE offers a specialized service for hosting suspect screening lists of relevance for the environmental community in an open, FAIR manner that allows integration with other major chemical resources. These efforts foster the exchange of information between scientists and regulators, supporting the paradigm shift to the “one substance, one assessment” approach. New submissions are welcome via the contacts provided on the NORMAN-SLE website ( https://www.norman-network.com/nds/SLE/ ).
    Type of Medium: Online Resource
    ISSN: 2190-4707 , 2190-4715
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2593962-2
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