Exploring the experiences and outcomes of advantaged and disadvantaged families

This report provides further evidence of the interrelationship between age, young motherhood, family type and a range of measures of socio-economic advantage and disadvantage. Maternal age and family type were found to be closely interrelated and both strongly associated with socio-economic disadvantage, with concentrated disadvantage evident in mothers under 25 and lone parents who do not live with other adults. These measures were also closely associated with health-related behaviours including likelihood of breastfeeding, attending ante-natal classes and smoking amongst mothers. Even amongst more disadvantaged groups, positive health-related behaviours were connected to relative social and economic advantage with level of maternal education featuring prominently

What is the Risk of Having Offspring with Cleft Lip/Palate in Pre-Maternal Obese/Overweight Women When Compared to Pre-Maternal Normal Weight Women?:A Systematic Review and Meta-Analysis

ACKNOWLEDGMENTS AND DISCLOSURE STATEMENTS The authors declare no conflict of interest. This manuscript is based on the thesis presented for the degree of Masters in Science, Global Health and Management, Division of Applied Health Sciences, University of Aberdeen.Peer reviewedPublisher PD

Measuring the impact of minimum wages : evidence from Latin America

The authors provide an overview of minimum wage levels in Latin America and their true impact on the distribution of wages, using both numerical measures and kernal density plots for eight countries (Argentina, Bolivia, Brazil, Chile, Colombia, Honduras, Mexico, and Uruguay). They especially try to identify"numeraire"effects--where the minimum is used as a reference higher in the wage distribution--and"lighthouse"effects--where it influences wage setting in the unregulated or"informal"sector. Their main findings: First, statutory minimum wages are often misleading, and graphical methods may be more reliable. Second, the minimum wage's effect on wage setting extends far beyond what is usually considered and probably beyond the effect in industrial countries. Using panel employment data from Colombia, where minimum wages seem high and binding, the authors quantify the minimum wage's effects on wages and on the probability of becoming unemployed. The Colombian case confirms the evidence offered by kernal density estimates: 1) The minimum wage can have an important impact on wage distribution in the neighborhood of the minimum wage. 2) The effects echo up the wage distribution in a clear demonstration of the"numeraire"effect. That this effect is stronger in Latin America than in the United States suggests that the minimum wage induces further-reaching rigidities in the labor market. The trade-off between any possible effect on poverty and reduced flexibility is likely to be more severe in countries where this is the case. The effects on employment, and unemployment, are substantial. 3) Informal salaries wages are also affected, confirming the graphical evidence of strong lighthouse effects. Self-employment earnings are not, however, confirming that the minimum wage is not simply serving as a measure of inflationary expectations.Labor Policies,Wages, Compensation&Benefits,Health Monitoring&Evaluation,Environmental Economics&Policies,Public Health Promotion,Environmental Economics&Policies,Child Labor,Wages, Compensation&Benefits,Health Monitoring&Evaluation,Poverty Assessment

Moving from Trust to Trustworthiness: Experiences of public engagement in the Scottish Health Informatics Programme

The Scottish Health Informatics Programme (SHIP) was a Scotland-wide research programme exploring ways of collecting, managing and analysing electronic patient records for health research. As part of the SHIP public engagement work stream, a series of eight focus groups and a stakeholder workshop were conducted to explore perceptions of the role, relevance and functions of trust (or trustworthiness) in relation to research practices. The findings demonstrate that the public’s relationships of trust and/or mistrust in science and research are not straightforward. This paper aims to move beyond simple descriptions of whether publics trust researchers, or in whom members of the public place their trust, and to explore more fully the bases of public trust/mistrust in science, what trust implies and equally what it means for research/researchers to be trustworthy. This has important implications for public engagement in interdisciplinary projects

Engagement of Community Stakeholders to Develop a Framework to Guide Research Dissemination to Communities

Background: Dissemination of research findings to past study participants and the community-at-large is important. Yet, a standardized process for research dissemination is needed to report results to the community. Objective: We developed a framework and strategies to guide community-academic partnerships in community-targeted, dissemination efforts. Methods: From 2017 to 2019, a community-academic partnership was formed in Nashville, Tennessee, and iteratively developed a framework and strategies for research dissemination using cognitive interviews. A deductive, constant comparative analysis was conducted on interview responses to examine framework and strategy content. Feedback was used to finalize the framework and strategies for the evaluation. Using existing data, the framework\u27s utility was evaluated in seven town hall meetings (n = 117). Bivariate analyses determined its effect on community members’ trust and willingness to participate in research using pre- and post-surveys. Evaluation results were used to finalize the framework. Results: The Community-Engaged Research Dissemination (CERD) framework has two phases. Phase one is a preliminary planning phase with two steps, and phase two is the four-step dissemination process. There are five standards to be upheld conducting these phases. We provide competencies for each component. Three feasible, culturally adapted strategies were developed as exemplars to disseminate research findings. Using pre- and post-surveys for intervention evaluation, there was a significant difference in trust in medical research and researchers (P = .006) and willingness to participate in research (P = .013). Discussion and Conclusion: The CERD framework can potentially standardize the process and compare the effect of dissemination efforts on the community\u27s trust and willingness to participate in research

Growing Up In Scotland Study: GUS Exploring The Experience and Outcomes For Advantaged and Disadvantaged Families

This report draws on data from the first sweep of the Growing Up in Scotland ( GUS) study. The Sweep 1 Report highlighted the persistence of inequalities between advantaged and disadvantaged families which impact on parents and their childre

EEG microstate quantifiers and state space descriptors during anaesthesia in patients with postoperative delirium: a descriptive analysis.

Postoperative delirium is a serious sequela of surgery and surgery-related anaesthesia. One recommended method to prevent postoperative delirium is using bi-frontal EEG recording. The single, processed index of depth of anaesthesia allows the anaesthetist to avoid episodes of suppression EEG and excessively deep anaesthesia. The study data presented here were based on multichannel (19 channels) EEG recordings during anaesthesia. This enabled the analysis of various parameters of global electrical brain activity. These parameters were used to compare microstate topographies under anaesthesia with those in healthy volunteers and to analyse changes in microstate quantifiers and EEG global state space descriptors with increasing exposure to anaesthesia. Seventy-three patients from the Surgery Depth of Anaesthesia and Cognitive Outcome study (SRCTN 36437985) received intraoperative multichannel EEG recordings. Altogether, 720 min of artefact-free EEG data, including 210 min (29.2%) of suppression EEG, were analysed. EEG microstate topographies, microstate quantifiers (duration, frequency of occurrence and global field power) and the state space descriptors sigma (overall EEG power), phi (generalized frequency) and omega (number of uncorrelated brain processes) were evaluated as a function of duration of exposure to anaesthesia, suppression EEG and subsequent development of postoperative delirium. The major analyses involved covariate-adjusted linear mixed-effects models. The older (71 ± 7 years), predominantly male (60%) patients received a median exposure of 210 (range: 75-675) min of anaesthesia. During seven postoperative days, 21 patients (29%) developed postoperative delirium. Microstate topographies under anaesthesia resembled topographies from healthy and much younger awake persons. With increasing duration of exposure to anaesthesia, single microstate quantifiers progressed differently in suppression or non-suppression EEG and in patients with or without subsequent postoperative delirium. The most pronounced changes occurred during enduring suppression EEG in patients with subsequent postoperative delirium: duration and frequency of occurrence of microstates C and D progressed in opposite directions, and the state space descriptors showed a pattern of declining uncorrelated brain processes (omega) combined with increasing EEG variance (sigma). With increasing exposure to general anaesthesia, multiple changes in the dynamics of microstates and global EEG parameters occurred. These changes varied partly between suppression and non-suppression EEG and between patients with or without subsequent postoperative delirium. Ongoing suppression EEG in patients with subsequent postoperative delirium was associated with reduced network complexity in combination with increased overall EEG power. Additionally, marked changes in quantifiers in microstate C and in microstate D occurred. These putatively adverse intraoperative trajectories in global electrical brain activity may be seen as preceding and ultimately predicting postoperative delirium

Alcohol Consumption and Incident Stroke Among Older Adults.

Objectives: This study examines the relationship between alcohol consumption and incident stroke among older adults and tests whether alcohol consumption contributes to observed race and sex differences in stroke. Method: Data are from a U.S. national cohort of black and white adults aged 45 and older, the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Current and past drinking levels were reported at baseline (2003-2007). Participants who had never had a stroke were followed for adjudicated stroke events through September 2015 (n = 27,265). We calculated Cox proportional hazard models for stroke, adjusting for demographic, socioeconomic, behavioral, and health characteristics. Results: Participants, mean age 64.7 years, consumed on average 2.2 drinks/week and experienced 1,140 first-time stroke events over median 9.1 years follow-up. Nondrinkers had a 12% higher risk of stroke than current drinkers; the risk of stroke among nondrinkers largely reflected high risks among past drinkers; these differences were explained by socioeconomic characteristics. Among current drinkers, light drinkers had significantly lower stroke risks than moderate drinkers after accounting for demographic, socioeconomic, behavioral, and health characteristics. Implications of alcohol did not differ between blacks and whites but did differ by sex: Especially among women, nondrinkers, and specifically past drinkers, had higher risks; these differences were largely explained by health characteristics and behaviors. Alcohol did not explain race and sex differences in stroke incidence. Discussion: Among older adults, those who used to, but no longer, drink had higher risks of stroke, especially among women; current light drinkers had the lowest risk of stroke