Do television and electronic games predict children's psychosocial adjustment? Longitudinal research using the UK Millennium Cohort Study

Background: Screen entertainment for young children has been associated with several aspects of psychosocial adjustment. Most research is from North America and focuses on television. Few longitudinal studies have compared the effects of TV and electronic games, or have investigated gender differences. Purpose: To explore how time watching TV and playing electronic games at age 5 years each predicts change in psychosocial adjustment in a representative sample of 7 year-olds from the UK. Methods: Typical daily hours viewing television and playing electronic games at age 5 years were reported by mothers of 11 014 children from the UK Millennium Cohort Study. Conduct problems, emotional symptoms, peer relationship problems, hyperactivity/inattention and prosocial behaviour were reported by mothers using the Strengths and Difficulties Questionnaire. Change in adjustment from age 5 years to 7 years was regressed on screen exposures; adjusting for family characteristics and functioning, and child characteristics. Results: Watching TV for 3 h or more at 5 years predicted a 0.13 point increase (95% CI 0.03 to 0.24) in conduct problems by 7 years, compared with watching for under an hour, but playing electronic games was not associated with conduct problems. No associations were found between either type of screen time and emotional symptoms, hyperactivity/inattention, peer relationship problems or prosocial behaviour. There was no evidence of gender differences in the effect of screen time. Conclusions: TV but not electronic games predicted a small increase in conduct problems. Screen time did not predict other aspects of psychosocial adjustment. Further work is required to establish causal mechanisms

Population, Home Range, and Dispersal of Red Foxes in East-Central South Dakota

The population, dispersal movements and summer home range of red foxes (Vulpes vulpes) were studied in east-central South Dakota during 1974 and 1975. The spring population density of foxes on a 23,319 ha study area declined from 9.2 families/township in 1974 to 7.6 families/township in 1975. Fifty-four percent of 130 foxes tagged in spring, 1974 and 1975 were recovered during the first year following tagging. Hunting and trapping accounted for 18.0 and 77.8 percent, respectively. Recoveries revealed that dispersing juvenile male foxes were more mobile than juvenile females; juvenile foxes traveled a mean distance of 39 km for males and 13 km for females. The longest distance traveled was 123 km by a juvenile male. Five female foxes tagged and recaptured as adults traveled less than 8 km. fox recovery locations were randomly distributed with respect to direction of travel. Results from successfully radio-tracking 1 adult fox during summer, 1974, and 4 adult foxes during summer, 1975, revealed that foxes used home ranges averaging approximately 648 ha in size. The smallest home range (236 ha) was used by a 1 ½ year old barren female and the largest home range (916 ha) was used by an adult male of unknown age. Home ranges of adult foxes and well-defined boundaries, and overlap between contiguous home ranges was slight

Patient reactions to a web-based cardiovascular risk calculator in type 2 diabetes: a qualitative study in primary care.

Use of risk calculators for specific diseases is increasing, with an underlying assumption that they promote risk reduction as users become better informed and motivated to take preventive action. Empirical data to support this are, however, sparse and contradictory

Predictive power of UKCAT and other pre-admission measures for performance in a medical school in Glasgow: a cohort study

<b>Background</b><p></p> The UK Clinical Aptitude Test (UKCAT) and its four subtests are currently used by 26 Medical and Dental Schools in the UK for admissions. This longitudinal study examines the predictive validity of UKCAT for final performance in the undergraduate medical degree programme at one Medical School and compares this with the predictive validity of the selection measures available pre-UKCAT.<p></p> <b>Methods</b><p></p> This was a retrospective observational study of one cohort of students, admitted to Glasgow Medical School in 2007. We examined the associations which UKCAT scores, school science grades and pre-admissions interview scores had with performance indicators, particularly final composite scores that determine students' postgraduate training opportunities and overall ranking (Educational Performance Measure - EPM, and Honours and Commendation - H&C). Analyses were conducted both with and without adjustment for potential socio-demographic confounders (gender, age, ethnicity and area deprivation).<p></p> <b>Results</b><p></p> Despite its predictive value declining as students progress through the course, UKCAT was strongly associated with the final composite scores. In mutually adjusted analyses (also adjusted for socio-demographic confounders), only UKCAT total showed independent relationships with both EPM (p = 0.005) and H&C (p = 0.004). School science achievements predicted EPM (p = 0.009); pre-admissions interview score predicted neither. UKCAT showed less socio-demographic variation than did TSS.<p></p> <b>Conclusion</b><p></p> UKCAT has a modest predictive power for overall course performance at the University of Glasgow Medical School over and above that of school science achievements or pre-admission interview score and we conclude that UKCAT is the most useful predictor of final ranking

Landmark models for optimizing the use of repeated measurements of risk factors in electronic health records to predict future disease risk

The benefits of using electronic health records for disease risk screening and personalized heathcare decisions are becoming increasingly recognized. We present a computationally feasible statistical approach to address the methodological challenges in utilizing historical repeat measures of multiple risk factors recorded in electronic health records to systematically identify patients at high risk of future disease. The approach is principally based on a two-stage dynamic landmark model. The first stage estimates current risk factor values from all available historical repeat risk factor measurements by landmark-age-specific multivariate linear mixed-effects models with correlated random-intercepts, which account for sporadically recorded repeat measures, unobserved data and measurements errors. The second stage predicts future disease risk from a sex-stratified Cox proportional hazards model, with estimated current risk factor values from the first stage. Methods are exemplified by developing and validating a dynamic 10-year cardiovascular disease risk prediction model using electronic primary care records for age, diabetes status, hypertension treatment, smoking status, systolic blood pressure, total and high-density lipoprotein cholesterol from 41,373 individuals in 10 primary care practices in England and Wales contributing to The Health Improvement Network (1997-2016). Using cross-validation, the model was well-calibrated (Brier score = 0.041 [95%CI: 0.039, 0.042]) and had good discrimination (C-index = 0.768 [95%CI: 0.759, 0.777]).This work was funded by the Medical Research Council (MRC) (grant MR/K014811/1). J.B. was supported by an MRC fellowship (grant G0902100) and the MRC Unit Program (grant MC_UU_00002/5). R.H.K. was supported by an MRC Methodology Fellowship (grant MR/M014827/1)

National Evaluation of the Capacity Building Programme in English Local Government: Evaluation of the National Programmes: Annex 2: Evaluation of the National Programmes

The report is one of a series of outputs from the national evaluation of the CBP, being undertaken by a team of researchers at the Policy Research Institute (PRI) at Leeds Metropolitan University and the Cities Research Unit at the University of West of England. The Capacity Building Programme for local government was launched in 2003 as a joint Department for Communities and Local Government (DCLG) / Local Government Association (LGA) initiative to support capacity building and improvement activities within local authorities in England. The evaluation of the Capacity Building Programme has been underway since late 2004. A scoping phase was conducted until May 2005, including a short evaluation of the Pilot Programmes. The main phase of the evaluation commenced in September 2005 and encompassed four main phases (see Section 1.3: p10)

The impact of Behçet's disease on intimate relationships in women: A qualitative study.

OBJECTIVE: Behçet's disease is a rare and incurable condition where the body's immune system attacks healthy tissue. Behçet's can cause blood clots and ulcerations to form in every organ and system in the body, including deep and painful genital ulceration. The psychological impact of the disease on intimacy and relationships is unexplored. This study aimed to explore how the disease impacts on female patients' intimate partner relationships. METHODS: Participants were seven female, UK patients with Behçet's disease who were in committed relationships. In depth, semi-structured interviews lasting approximately 80 minutes were conducted via video conferencing about participants' sexual functioning and intimate relationships. Data was analysed using Interpretative Phenomenological Analysis. RESULTS: Patients' sexual relationships and intimacy were impacted by issues due to lack of knowledge of symptoms (misdiagnosis of herpes), issues due to symptoms (genital manifestations, painful sex, exhaustion), difficulties communicating with medical professionals, medication, partner support, and support from fellow Behçet's patients. DISCUSSION: Female Behçet's patients are at risk of developing psychological problems with intimacy due to symptoms, lack of knowledge of symptoms, and negative impacts of medication. Intimacy needs to be discussed in medical consultations so these issues can be addressed before a lack of intimacy negatively impacts relationships

Place matters: but does local leadership?

The arrival of New Labour into Government witnessed the prominent re-emergence of place onto the policy agenda. This heralded a range of area-based-initiatives designed to both tackle neighbourhood forms of deprivation and to re-establish a sense of identity and connection between individuals and their local community. In terms of place-making, effective and inclusive participation, representation and leadership were all identified as prerequisites for the creation of sustainable communities . But how important is local leadership and strategic vision within local public service organisations in achieving the desired place-making outcomes? This paper examines the extent to which local leadership and strategic vision represents a significant factor in promoting higher levels of satisfaction, belonging, cohesion and participation across single tier councils in England. The ensuing empirical evidence raises significant questions not only about the importance of local leadership in place-making, but also the environmental and organizational factors that shape local places

Bayesian evidence synthesis for a transmission dynamic model for HIV among men who have sex with men

Understanding infectious disease dynamics and the effect on prevalence and incidence is crucial for public health policies. Disease incidence and prevalence are typically not observed directly and increasingly are estimated through the synthesis of indirect information from multiple data sources. We demonstrate how an evidence synthesis approach to the estimation of human immunodeficiency virus (HIV) prevalence in England and Wales can be extended to infer the underlying HIV incidence. Diverse time series of data can be used to obtain yearly “snapshots” (with associated uncertainty) of the proportion of the population in 4 compartments: not at risk, susceptible, HIV positive but undiagnosed, and diagnosed HIV positive. A multistate model for the infection and diagnosis processes is then formulated by expressing the changes in these proportions by a system of differential equations. By parameterizing incidence in terms of prevalence and contact rates, HIV transmission is further modeled. Use of additional data or prior information on demographics, risk behavior change and contact parameters allows simultaneous estimation of the transition rates, compartment prevalences, contact rates, and transmission probabilities