Identifying lesbian, gay, bisexual, and transgender search terminology: A systematic review of health systematic reviews

Research on the health of lesbian, gay, bisexual, and transgender (LGBT) populations can provide important information to address existing health inequalities. Finding existing research in LGBT health can prove challenging due to the plethora of terminology used. We sought to describe existing search strategies and to identify more comprehensive LGBT search terminology. We iteratively created a search string to identify systematic reviews and meta-analyses about LGBT health and implemented it in Embase, PubMed/MEDLINE, and PsycINFO databases on May 28-29, 2015. We hand-searched the journal LGBT Health. Inclusion criteria were: systematic reviews and meta-analyses that addressed LGBT health, used systematic searching, and used independent coders for inclusion. The published search terminology in each record and search strings provided by authors on request were cross-referenced with our original search to identify additional terminology. Our search process identified 19 systematic reviews meeting inclusion criteria. The number of search terms used to identify LGBT-related records ranged from 1 to 31. From the included studies, we identified 46 new search terms related to LGBT health. We removed five search terms as inappropriate and added five search terms used in the field. The resulting search string included 82 terms. There is room to improve the quality of searching and reporting in LGBT health systematic reviews. Future work should attempt to enhance the positive predictive value of LGBT health searches. Our findings can assist LGBT health reviewers in capturing the diversity of LGBT terminology when searching

The Met Office Global Coupled model 3.0 and 3.1 (GC3.0 & GC3.1) configurations

The Global Coupled 3 (GC3) configuration of the Met Office Unified Model is presented. Amongst other applications, GC3 is the basis of the United Kingdom's submission to the Coupled Model Intercomparison Project 6 (CMIP6). This paper documents the model components that make up the configuration (although the scientific description of these components are in companion papers), and details the coupling between them. The performance of GC3 is assessed in terms of mean biases and variability in long climate simulations using present-day forcing. The suitability of the configuration for predictabiity on shorter timescales (weather and seasonal forecasting) is also briefly discussed. The performance of GC3 is compared against GC2, the previous Met Office coupled model configuration, and against an older configuration (HadGEM2-AO) which was the submission to CMIP5. In many respects, the performance of GC3 is comparable with GC2, however there is a notable improvement in the Southern Ocean warm sea surface temperature bias which has been reduced by 75%, and there are improvements in cloud amount and some aspects of tropical variability. Relative to HadGEM2-AO, many aspects of the present-day climate are improved in GC3 including tropospheric and stratospheric temperature structure, most aspects of tropical and extra-tropical variability and top-of-atmosphere &amp; surface fluxes. A number of outstanding errors are identified including a residual asymmetric sea surface temperature bias (cool northern hemisphere, warm Southern Ocean), an overly strong global hydrological cycle and insufficient European blocking.</p

Communicating about cigarette smoke constituents: an experimental comparison of two messaging strategies

Federal law now requires FDA to disseminate information on chemicals in cigarette smoke, but it is unclear how best to do so. In a 2 × 2 between-subjects experiment, participants received a message about chemicals in cigarette smoke (e.g., “Cigarette smoke has benzene.”) along with an additional randomly assigned messaging strategy: a “found-in” (e.g., “This is found in gasoline.”), a health effect (e.g., “This causes heart disease.”), both, or neither. Participants were U.S. probability phone samples of 5000 adults and 1123 adolescents, and an online convenience sample of 4130 adults. Adding a health effect elicited greater discouragement from wanting to smoke cigarettes (all p < .05) as did adding a found-in (all p < .05). However, including both messaging strategies added little or nothing above including just one. These findings can help the FDA and other agencies develop effective and parsimonious messages about cigarette smoke constituents