To address the growing international recognition of the inequities faced by transgender (trans) persons and the lack of services that attend to the specific concerns of trans sexual assault survivors, we undertook the development of an intersectoral network of hospital-based violence treatment centers and trans-positive community organizations to enhance available supports. To examine anticipated involvement of organizations in the network and determine network activities, deliverables, and values. We developed a survey with guidance from an advisory group of trans community members and their allies. Items on the survey related to network activities, deliverables, and values, which were also informed by key insights from earlier network planning meetings, were rated on a 5-point Likert scale for their importance (1 = not important at all, 5 = very important). Sixty-four out of 93 organizations invited responded to the survey, giving a response rate of 69%. The highest prioritized network activities weing to collaborate across sectors to address the inequities faced by trans persons experiencing sexual assault.Background The experiences of transgender, gender diverse, and non-binary (TGDNB) workers remain poorly understood and under-examined in the extant literature, with workplace support perceptions and affirming behaviors of these workers particularly misunderstood. Aims We address this gap in the literature by presenting and empirically testing a theoretical model that suggests affirming behaviors are differentially related to various sources of TGDNB worker support. We further suggest these sources of support are differentially related to TGDNB employee satisfaction and gender identity openness at work. Methods We collected data from trans-related social media groups, inviting TGDNB-identifying employees to participate in the study. Quantitative and qualitative data from 263 TGDNB employees were collected through survey administrations. Results Supervisor and coworker support are related to job and life satisfaction, with supervisor support strongly connected to job satisfaction. The use of gender-affirming pronouns/titles and discouraging derogatory comments at work were related to perceived TGDNB support. Positive transgender organizational climate was strongly related to gender identity openness at work. Discussion Results highlight a need for better workplace inclusivity and TGDNB-friendly environments, as well as more diversity training and company policy improvements that directly impact the workplace experiences of TGDNB people.The 2030 Sustainable Development Goals agenda calls for health data to be disaggregated by age. However, age groupings used to record and report health data vary greatly, hindering the harmonisation, comparability, and usefulness of these data, within and across countries. This variability has become especially evident during the COVID-19 pandemic, when there was an urgent need for rapid cross-country analyses of epidemiological patterns by age to direct public health action, but such analyses were limited by the lack of standard age categories. In this Personal View, we propose a recommended set of age groupings to address this issue. These groupings are informed by age-specific patterns of morbidity, mortality, and health risks, and by opportunities for prevention and disease intervention. We recommend age groupings of 5 years for all health data, except for those younger than 5 years, during which time there are rapid biological and physiological changes that justify a finer disaggregation. Although the focus of this Personal View is on the standardisation of the analysis and display of age groups, we also outline the challenges faced in collecting data on exact age, especially for health facilities and surveillance data. The proposed age disaggregation should facilitate targeted, age-specific policies and actions for health care and disease management. Common infections have been associated with dementia risk; however, evidence is scarce. We aimed to investigate the association between common infections and dementia in adults (≥65 years) in a UK population-based cohort study. We did a historical cohort study of individuals who were 65 years and older with no history of dementia or cognitive impairment using the Clinical Practice Research Datalink linked to Hospital Episode Statistics between Jan 1, 2004, and Dec 31, 2018. Multivariable Cox proportional hazard regression models were used to estimate the association between time-updated previous common infections (sepsis, pneumonia, other lower respiratory tract infections, urinary tract infections, and skin and soft tissue infections) and incident dementia diagnosis. We also tested for effect modification by diabetes since it is an independent risk factor for dementia and co-occurs with infection. Between Jan 1, 2004, and Dec 31, 2018, our study included 989 800 individuals (median age 68·6 years [IQR 65·0-77·0]; 537 602 [54·3%] women) of whom 402 204 (40·6%) were diagnosed with at least one infection and 56 802 (5·7%) had incident dementia during a median follow-up of 5·2 years (IQR 2·3-9·0). Dementia risk increased in those with any infection (adjusted hazard ratio [HR] 1·53 [95% CI 1·50-1·55]) compared with those without infection. https://www.selleckchem.com/products/ipi-145-ink1197.html HRs were highest for sepsis (HR 2·08 [1·89-2·29]) and pneumonia (HR 1·88 [1·77-1·99]) and for infections leading to hospital admission (1·99 [1·94-2·04]). HRs were also higher in individuals with diabetes compared with those without diabetes. Common infections, particularly those resulting in hospitalisation, were associated with an increased risk of dementia persisting over the long term. Whether reducing infections lowers the risk of subsequent dementia warrants evaluation. Alzheimer's Society, Wellcome Trust, and the Royal Society. Alzheimer's Society, Wellcome Trust, and the Royal Society. Studies generally use cognitive assessment done at one timepoint to define cognitive impairment in order to examine conversion to dementia. Our objective was to examine the predictive accuracy and conversion rate of seven alternate definitions of cognitive impairment for dementia. In this prospective study, we included participants from the Whitehall II cohort study who were assessed for cognitive impairment in 2007-09 and were followed up for clinically diagnosed dementia. Algorithms based on poor cognitive performance (defined using age-specific and sex-specific thresholds, and subsequently thresholds by education or occupation levels) and objective cognitive decline (using data from cognitive assessments in 1997-99, 2002-04, and 2007-09) were used to generate seven alternate definitions of cognitive impairment. We compared predictive accuracy using Royston's , the Akaike information criterion (AIC), sensitivity, specificity, and Harrell's C-statistic. 5687 participants, with a mean age of 65·7 years (SD 5·9) in 2007-09, were included and followed up for a median of 10·5 years (IQR 10·1-10·9).