A continuously updated, geospatially rectified database of utility-scale wind turbines in the United States.

Over 60,000 utility-scale wind turbines are installed in the United States as of October, 2019, representing over 97 gigawatts of electric power capacity; US wind turbine installations continue to grow at a rapid pace. Yet, until April 2018, no publicly-available, regularly updated data source existed to describe those turbines and their locations. Under a cooperative research and development agreement, analysts from three organizations collaborated to develop and release the United States Wind Turbine Database (USWTDB) - a publicly available, continuously updated, spatially rectified data source of locations and attributes of utility-scale wind turbines in the United States. Technical specifications and wind facility data, incorporated from five sources, undergo rigorous quality control. The location of each turbine is visually verified using high-resolution aerial imagery. The quarterly-updated data are available in a variety of formats, including an interactive web application, comma-separated values (CSV), shapefile, and application programming interface (API). The data are used widely by academic researchers, engineers and developers from wind energy companies, government agencies, planners, educators, and the general public

Impact of the government's restrictions and guidance in relation to “social distancing” on the lives of ethnic minority populations:A mixed methods study

Background and Aims: The impacts of the COVID-19 pandemic have not been equal, with a disproportionate impact among ethnic minority communities. Structural inequalities in social determinants of health such as housing and employment have contributed to COVID-19's impact on deprived communities, including many ethnic minority communities. To compare (1) how the UK government's “social distancing” restrictions and guidance were perceived and implemented by ethnic minority populations compared to white populations, (2) the impact of restrictions and guidance upon these groups. Methods: An explanatory sequential mixed methods study incorporated a quantitative survey and qualitative semi-structured interviews to explore individual perceptions and experiences of COVID-19 and the national restrictions. Survey participants (n = 1587) were recruited from North West England; 60 (4%) participants were from ethnic minority communities. Forty-nine interviews were conducted; 19 (39%) participants were from ethnic minority communities. Interviews were transcribed verbatim and analysed using a thematic approach. Data collection was between April and August 2020. Results: Significant differences in demographics and household overcrowding were observed between white vs ethnic minority survey respondents, who were also significantly less confident in their knowledge of COVID-19, less likely to be high-risk drinkers, and marginally more likely to have experienced job loss and/or reduced household income. There were no group differences in wellbeing, perceptions, or nonfinancial impacts. Two inter-related themes included: (1) government guidance, incorporating people's knowledge and understanding of the guidance and their confusion/frustration over messaging; (2) the impacts of restrictions on keyworkers, home-schooling, working from home and changes in lifestyle/wellbeing. Conclusions: Further research is needed on the long-term impacts of COVID-19 on ethnic minority communities. If policy responses to COVID-19 are to benefit ethnic minority communities, there is a need for future studies to consider fundamental societal issues, such as the role of housing and economic disadvantage.</p

Impact of the government's restrictions and guidance in relation to "social distancing" on the lives of ethnic minority populations:A mixed methods study

Background and Aims: The impacts of the COVID-19 pandemic have not been equal, with a disproportionate impact among ethnic minority communities. Structural inequalities in social determinants of health such as housing and employment have contributed to COVID-19's impact on deprived communities, including many ethnic minority communities. To compare (1) how the UK government's “social distancing” restrictions and guidance were perceived and implemented by ethnic minority populations compared to white populations, (2) the impact of restrictions and guidance upon these groups. Methods: An explanatory sequential mixed methods study incorporated a quantitative survey and qualitative semi-structured interviews to explore individual perceptions and experiences of COVID-19 and the national restrictions. Survey participants (n = 1587) were recruited from North West England; 60 (4%) participants were from ethnic minority communities. Forty-nine interviews were conducted; 19 (39%) participants were from ethnic minority communities. Interviews were transcribed verbatim and analysed using a thematic approach. Data collection was between April and August 2020. Results: Significant differences in demographics and household overcrowding were observed between white vs ethnic minority survey respondents, who were also significantly less confident in their knowledge of COVID-19, less likely to be high-risk drinkers, and marginally more likely to have experienced job loss and/or reduced household income. There were no group differences in wellbeing, perceptions, or nonfinancial impacts. Two inter-related themes included: (1) government guidance, incorporating people's knowledge and understanding of the guidance and their confusion/frustration over messaging; (2) the impacts of restrictions on keyworkers, home-schooling, working from home and changes in lifestyle/wellbeing. Conclusions: Further research is needed on the long-term impacts of COVID-19 on ethnic minority communities. If policy responses to COVID-19 are to benefit ethnic minority communities, there is a need for future studies to consider fundamental societal issues, such as the role of housing and economic disadvantage.</p

Avoiding Decline: Fostering Resilience and Sustainability in Midsize Cities

Eighty-five percent of United States citizens live in urban areas. However, research surrounding the resilience and sustainability of complex urban systems focuses largely on coastal megacities (\u3e1 million people). Midsize cities differ from their larger counterparts due to tight urban-rural feedbacks with their immediate natural environments that result from heavy reliance and close management of local ecosystem services. They also may be less path-dependent than larger cities due to shorter average connection length among system components, contributing to higher responsiveness among social, infrastructural, and ecological feedbacks. These distinct midsize city features call for a framework that organizes information and concepts concerning the sustainability of midsize cities specifically. We argue that an integrative approach is necessary to capture properties emergent from the complex interactions of the social, infrastructural, and ecological subsystems that comprise a city system. We suggest approaches to estimate the relative resilience of midsize cities, and include an example assessment to illustrate one such estimation approach. Resilience assessments of a midsize city can be used to examine why some cities end up on sustainable paths while others diverge to unsustainable paths, and which feedbacks may be partially responsible. They also provide insight into how city planners and decision makers can use information about the resilience of midsize cities undergoing growth or shrinkage relative to their larger and smaller counterparts, to transform them into long-term, sustainable social-ecological systems

The intervention process in the European Fans in Training (EuroFIT) trial: a mixed method protocol for evaluation

Background - EuroFIT is a gender-sensitised, health and lifestyle program targeting physical activity, sedentary time and dietary behaviours in men. The delivery of the program in football clubs, led by the clubs’ community coaches, is designed to both attract and engage men in lifestyle change through an interest in football or loyalty to the club they support. The EuroFIT program will be evaluated in a multicentre pragmatic randomised controlled trial (RCT), for which ~1000 overweight men, aged 30–65 years, will be recruited in 15 top professional football clubs in the Netherlands, Norway, Portugal and the UK. The process evaluation is designed to investigate how implementation within the RCT is achieved in the various football clubs and countries and the processes through which EuroFIT affects outcomes. Methods - This mixed methods evaluation is guided by the Medical Research Council (MRC) guidance for conducting process evaluations of complex interventions. Data will be collected in the intervention arm of the EuroFIT trial through: participant questionnaires (n = 500); attendance sheets and coach logs (n = 360); observations of sessions (n = 30); coach questionnaires (n = 30); usage logs from a novel device for self-monitoring physical activity and non-sedentary behaviour (SitFIT); an app-based game to promote social support for physical activity outside program sessions (MatchFIT); interviews with coaches (n = 15); football club representatives (n = 15); and focus groups with participants (n = 30). Written standard operating procedures are used to ensure quality and consistency in data collection and analysis across the participating countries. Data will be analysed thematically within datasets and overall synthesis of findings will address the processes through which the program is implemented in various countries and clubs and through which it affects outcomes, with careful attention to the context of the football club. Discussion - The process evaluation will provide a comprehensive account of what was necessary to implement the EuroFIT program in professional football clubs within a trial setting and how outcomes were affected by the program. This will allow us to re-appraise the program’s conceptual base, optimise the program for post-trial implementation and roll out, and offer suggestions for the development and implementation of future initiatives to promote health and wellbeing through professional sports clubs. Trial Registration - ISRCTN81935608. Registered on 16 June 2015

Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use.

Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6-11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures

Movement of the human foot in 100 pain free individuals aged 18–45 : implications for understanding normal foot function

Background: Understanding motion in the normal healthy foot is a prerequisite for understanding the effects of pathology and thereafter setting targets for interventions. Quality foot kinematic data from healthy feet will also assist the development of high quality and research based clinical models of foot biomechanics. To address gaps in the current literature we aimed to describe 3D foot kinematics using a 5 segment foot model in a population of 100 pain free individuals. Methods: Kinematics of the leg, calcaneus, midfoot, medial and lateral forefoot and hallux were measured in 100 self reported healthy and pain free individuals during walking. Descriptive statistics were used to characterise foot movements. Contributions from different foot segments to the total motion in each plane were also derived to explore functional roles of different parts of the foot. Results: Foot segments demonstrated greatest motion in the sagittal plane, but large ranges of movement in all planes. All foot segments demonstrated movement throughout gait, though least motion was observed between the midfoot and calcaneus. There was inconsistent evidence of movement coupling between joints. There were clear differences in motion data compared to foot segment models reported in the literature. Conclusions: The data reveal the foot is a multiarticular structure, movements are complex, show incomplete evidence of coupling, and vary person to person. The data provide a useful reference data set against which future experimental data can be compared and may provide the basis for conceptual models of foot function based on data rather than anecdotal observations

The prevalence of peer sexual harassment during childhood in Australia

Sexual harassment inflicted by adolescents on their peers is a major public health issue, but its prevalence across childhood is not known. We provide the first nationally representative data on the prevalence of peer sexual harassment across childhood, using cross-sectional data from the Australian Child Maltreatment Study (ACMS). The ACMS surveyed 8,503 people aged 16 and over about their experiences of child maltreatment and associated health outcomes. The prevalence of peer sexual harassment was assessed using the Juvenile Victimization Questionnaire (JVQ)-R2 Adapted Version (ACMS), with survey data weighted to reflect characteristics of the Australian population. Overall, 1 in 10 (10.4% (95% Confidence Intervals (CI) [9.7, 11.3])) Australians experienced peer sexual harassment during childhood. Peer sexual harassment is an issue disproportionately affecting gender-diverse individuals (24.0%, 95% CI [15.5, 35.2]) and women (15.3%, 95% CI [14.0, 16.7%]), compared to men (5.0%, 95% CI [4.3, 5.9]). Rates of peer sexual harassment were also very high among sexuality diverse participants (prevalence estimates ranging between 14.2% and 29.8%). Peer sexual harassment was predominately inflicted by male peers (9.6%, 95% CI [8.9, 10.4]), compared to 1.8% (95% CI [1.5, 2.2]) reporting harassment from female peers. These findings have implications for understanding and reducing attitudes supporting peer sexual harassment in childhood, particularly against girls and gender and sexuality diverse youth, and associations with other gendered violence both in childhood and later life

The association between child maltreatment and health risk behaviours and conditions throughout life in the Australian Child Maltreatment Study

Objective To estimate associations between all five types of child maltreatment (emotional abuse, neglect, physical abuse, sexual abuse, and exposure to domestic violence) and health risk behaviours and conditions. Design, setting, participants Nationally representative survey of Australian residents aged 16 years and older conducted by computer-assisted telephone interviewing. Main outcome measures Associations between child maltreatment and the following health risk behaviours and conditions: current smoker, binge drinking (at least weekly in past 12 months), cannabis dependence (according to the Cannabis Severity of Dependence Scale), obesity (based on body mass index), self-harm in past 12 months, and suicide attempt in past 12 months. Results A total of 8503 participants completed the survey. All five types of child maltreatment were associated with increased rates of all of the health risk behaviours and conditions that we considered. The strongest associations were in the youngest age group (16–24-year-olds). Sexual abuse and emotional abuse were associated with the highest odds of health risk behaviours and conditions. Cannabis dependence, self-harm and suicide attempts were most strongly associated with child maltreatment. Experiencing more than one type of child maltreatment was associated with higher rates of health risk behaviours and conditions than experiencing one type of child maltreatment. Conclusions Child maltreatment is associated with substantially increased rates of health risk behaviours and conditions. Prevention and intervention efforts should be informed by trauma histories, and holistic psychosocial care should be incorporated into programs focusing on behaviour change

The Australian Child Maltreatment Study ( ACMS ), a national survey of the prevalence of child maltreatment and its correlates: methodology

Objectives To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS). Design, setting Cross-sectional, retrospective survey; computer-assisted mobile telephone interviewing using random digit dialling (computer-generated), Australia, 9 April – 11 October 2021. Participants People aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16–24 years and 1000 respondents each from five further age groups (25–34, 35–44, 45–54, 55–64, 65 years or more). Main outcome measures Primary outcomes: Emotional abuse, neglect, physical abuse, sexual abuse, exposure to domestic violence during childhood, assessed with the Juvenile Victimization Questionnaire-R2 Adapted Version (Australian Child Maltreatment Study). Secondary outcomes: selected mental disorder diagnoses (Mini International Neuropsychiatric Interview, MINI), selected physical health conditions, health risk behaviours, health service use. Results The demographic characteristics of the ACMS sample were similar to those of the Australian population in 2016 with respect to gender, Indigenous status, region and remoteness category of residence, and marital status, but larger proportions of participants were born in Australia, lived in areas of higher socio-economic status, had tertiary qualifications, and had income greater than $1250 per week. Population weights were derived to adjust for these differences. Associations between the number of calls required to recruit participants and maltreatment rates and health outcomes were not statistically significant. Conclusions The ACMS provides the first reliable estimates of the prevalence of each type of child maltreatment in Australia. These estimates, and those of associated mental health and health risk behaviours reported in this supplement can inform policy and practice initiatives for reducing the prevalence of child maltreatment and its consequences. Our benchmark study also provides baseline data for repeated waves of the ACMS that will assess the effectiveness of these initiatives