4 rows where subject contains "Public Health, Environmental and Occupational Health" sorted by funder_names

View and edit SQL

Suggested facets: subject, references-count, author_number, created (date), title (array), subject (array), ISSN (array), orcids (array), names (array), award_numbers (array), funder_names (array)

Link rowid title DOI URL created subject references-count is-referenced-by-count ISSN container-title abstract author_number orcids names award_numbers funder_names ▼ funder_dois
76 ["O5A.1\u2005Definition of case management for return-to-work in the approach of workers with musculoskeletal disorders: an update using a scoping review"] 10.1136/oem-2019-epi.110 http://dx.doi.org/10.1136/oem-2019-epi.110 2020-05-08T06:57:14Z ["Public Health, Environmental and Occupational Health"] 0 0 ["1351-0711", "1470-7926"] Occupational and Environmental Medicine <jats:sec><jats:title>Purpose</jats:title><jats:p>We aim to identify the elements and functions that define the case management in the individual approach of workers with musculoskeletal disorders for return to work and to propose an updated definition.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Relevant articles were identified through a computerized search up to 1 December 2017 in the bibliographic databases PubMed, Web of Science, Scopus, Cochrane Library, IBECS, EMBASE, and LILACS. Language filter (English and Spanish) was included in the search. The inclusion criteria were working age population with musculoskeletal disorders, studies that described or evaluated case management interventions, and return to work interventions. Military personnel, and rheumatic and surgical pathologies were excluded. Independent pairs reviewed all cites and articles and extracted data, and narrative synthesis was carried out.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Our searches identified 1950 possible relevant articles, of which 27 were included for data extraction. Of these, 15 papers included definitions of case management, and 14 common elements were identified. Twenty two explained the role of case manager and in 18 a description of tasks was found. In 25 articles referral services were mentioned. The most common defining elements were ‘return to work intervention’, ‘multidisciplinary assessment’ and ‘interdisciplinary intervention’ (53.8%). The 40% of the articles emphasized the ’coordination’, ‘to influence multiple factors’ (33.3%) and ‘individual approach’ (26.7%). The tasks included ’to establish goals and plan the rehabilitation for return to work’ (50%), and ’supervise or coordinate return to work process and to offer/refer the employee to services/adaptations or therapeutic workplaces’ (36.4%) The most common offered services were mental health (64.0%), and rehabilitation (48.0%).</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Despite… 5 [] ["Merc\u00e8 Soler Font", "Jos\u00e9 Maria Ramada Rodilla", "Jos\u00e9 Maria Gonzalez", "Francisco Palencia Sanchez", "Consol Serra Pujadas"] [""] [""] [""]
61 ["At the speed of Juul: measuring the Twitter conversation related to ENDS and Juul across space and time (2017\u20132018)"] 10.1136/tobaccocontrol-2019-055427 http://dx.doi.org/10.1136/tobaccocontrol-2019-055427 2020-03-20T21:16:55Z ["Public Health, Environmental and Occupational Health", "Health(social science)"] 0 0 ["0964-4563", "1468-3318"] Tobacco Control <jats:sec><jats:title>Background</jats:title><jats:p>Electronic nicotine delivery systems (ENDS) are the most-used tobacco product by adolescents, and Juul has rapidly become the most popular ENDS brand. Evidence indicates that Juul has been marketed heavily on social media. In light of recent lawsuits against the FDA spurred by claims that the agency responded inadequately to this marketing push, measuring the social media conversation about ENDS like Juul has important public health implications.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We employed search filters to collect Juul-related and other ENDS-related data from Twitter in 2017–2018 using Gnip Historic PowerTrack. Trained coders labelled random samples for Juul and ENDS relevance, and the labelled samples were used to train a supervised learning classifier to filter out irrelevant tweets. Tweets were geolocated into US counties and their <jats:italic>fitness for use</jats:italic> was assessed.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The amount of Juul-related tweets increased 67 times over the study period (from 18 849 in the first quarter of 2017 to 1 287 028 in the last quarter of 2018), spreading widely across US counties. By the last quarter 2018, 34% of US counties had more than 6 Juul-related posts per 10 000 people, up from 0% in the first quarter 2017. However, during the same period, the total of non-Juul ENDS-related tweets decreased by 25%.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Juul-related content grew exponentially on Twitter and spread across the entire country during the time when the brand was gaining market share. This social media buzz continued to increase even after FDA’s multiple interventions to curb promotions targeting minors.</jats:p></jats:sec> 5 ["http://orcid.org/0000-0002-1685-1753", "http://orcid.org/0000-0002-3425-9155"] ["Yoonsang Kim", "Sherry L Emery", "Lisa Vera", "Bryn David", "Jidong Huang"] ["R01CA194681-04S1"] ["National Cancer Institute"] ["10.13039/100000054"]
57 ["Integrating complex systems science into road safety research and practice, part 1: review of formative concepts"] 10.1136/injuryprev-2019-043315 http://dx.doi.org/10.1136/injuryprev-2019-043315 2019-09-24T21:15:30Z ["Public Health, Environmental and Occupational Health"] 60 0 ["1353-8047", "1475-5785"] Injury Prevention <jats:p>Many of our most persistent public health problems are complex problems. They arise from a web of factors that interact and change over time and may exhibit resistance to intervention efforts. The domain of systems science provides several tools to help injury prevention researchers and practitioners examine deep, complex and persistent problems and identify opportunities to intervene. Using the increase in pedestrian death rates as an example, we provide (1) an accessible overview of how complex systems science approaches can augment established injury prevention frameworks and (2) a straightforward example of how specific systems science tools can deepen understanding, with a goal of ultimately informing action.</jats:p> 7 ["http://orcid.org/0000-0002-6648-0794"] ["Rebecca B Naumann", "Jill Kuhlberg", "Laura Sandt", "Stephen Heiny", "Yorghos Apostolopoulos", "Stephen W Marshall", "Kristen Hassmiller Lich"] ["R49/CE0042479"] ["National Center for Injury Prevention and Control", "Federal Highway Administration"] ["10.13039/100005217", "10.13039/100006285"]
79 ["Processes and contexts influencing health inequalities among women who are mothers"] 10.1136/jech-2019-212229 http://dx.doi.org/10.1136/jech-2019-212229 2019-06-10T21:19:16Z ["Public Health, Environmental and Occupational Health", "Epidemiology"] 20 0 ["0143-005X", "1470-2738"] Journal of Epidemiology and Community Health <jats:p>This paper presents a conceptual framework that aims to conceptualise the different processes and contexts influencing health inequalities among women who are mothers. On the one hand, four processes are shown: (1) social stratification; (2) route into motherhood; (3) exposure and vulnerability to risk factors; and (4) generation of health inequalities. On the other hand, the role of the socioeconomic and political context, the labour market context, and the social, community and family context, as well as their inter-relationships, are presented. In addition, different family policy models, social values and cultural imperatives are considered.</jats:p> 5 ["http://orcid.org/0000-0001-6653-3393", "http://orcid.org/0000-0002-1170-2505"] ["Sara Trujillo-Alem\u00e1n", "Gloria Perez", "Jillian Reynolds", "Silvia Rueda", "Carme Borrell"] ["278173-2"] ["SOPHIE Project - Evaluating the Impact of Structural Policies on Health Inequalities and their Social Determinants and Fostering Change"] [[""]]

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE [article] (
   [title] TEXT,
   [DOI] TEXT,
   [URL] TEXT,
   [created] TEXT,
   [subject] TEXT,
   [references-count] TEXT,
   [is-referenced-by-count] TEXT,
   [ISSN] TEXT,
   [container-title] TEXT,
   [abstract] TEXT,
   [author_number] TEXT,
   [orcids] TEXT,
   [names] TEXT,
   [award_numbers] TEXT,
   [funder_names] TEXT,
   [funder_dois] TEXT
);