34 research outputs found

    Measuring the impact of public health policy

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    Measuring the Impact of Public Health Policys

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    Effective health policies and allocation of public health resources can substantially improve public health. An objective of public health practitioners and researchers is to identify key metrics that would help improve effective policies and terminate poor ones. We review articles published in 2008 surrounding measurement issues for public health policy and present a set of recommendations for future emphasis. We found that a set of consensus metrics for population health performance should be developed. However, considerable work is needed to develop appropriate metrics covering policy approaches that can affect large populations, intervention approaches within organizations, and individual-level behavioral approaches for prevention or disease management

    Social Media and Relationship Satisfaction

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    In this study, researchers looked at several factors between social media use and different relationships. One study showed that relationships can be torn apart if the members have different opinions on controversial topics (Kruse et al., 2008). The family systems theory suggests that family structure could shape social development and emotional functioning, caused by differences in family–level contexts (Wikle & Hoagland, 2020). Researchers looked to see if high utilization of social media within a relationship will result in lower satisfaction. To test the hypothesis, several Likert scales were put into a survey and distributed online to students from Susquehanna University enrolled in psychology courses. Questions within the scales related to information about student demographics, social media use, and self-efficacy. Students had the option to voluntarily take the survey as well as the option to withdraw at any time, but surveys that were withdrawn were not counted as part of the data. Our results did not support the hypothesis. The statistics from the t-test and the Pearson’s r correlation did not provide the statistical data that we hypothesized, t(143) = 0.21, p = 0.98, r(145) = 0.11, p = 0.201. One limitation was that we had a limited sample of psychology students at a small campus. Future research could include larger and broader sample sizes, along with more age-appropriate relationship scales. Even though the amount of time on social media did not cause less satisfaction, our implications included to use social media with caution as it could lead to potential harm, like self- consciousness or cyber-bullying

    The Effects of 11 Yr of CO2 Enrichment on Roots in a Florida Scrub-Oak Ecosystem

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    Uncertainty surrounds belowground plant responses to rising atmospheric CO2 because roots are difficult to measure, requiring frequent monitoring as a result of fine root dynamics and long-term monitoring as a result of sensitivity to resource availability. We report belowground plant responses of a scrub-oak ecosystem in Florida exposed to 11yr of elevated atmospheric CO2 using open-top chambers. We measured fine root production, turnover and biomass using minirhizotrons, coarse root biomass using ground-penetrating radar and total root biomass using soil cores. Total root biomass was greater in elevated than in ambient plots, and the absolute difference was larger than the difference aboveground. Fine root biomass fluctuated by more than a factor of two, with no unidirectional temporal trend, whereas leaf biomass accumulated monotonically. Strong increases in fine root biomass with elevated CO2 occurred after fire and hurricane disturbance. Leaf biomass also exhibited stronger responses following hurricanes. Responses after fire and hurricanes suggest that disturbance promotes the growth responses of plants to elevated CO2. Increased resource availability associated with disturbance (nutrients, water, space) may facilitate greater responses of roots to elevated CO2. The disappearance of responses in fine roots suggests limits on the capacity of root systems to respond to CO2 enrichment

    Venous thromboembolism after inpatient surgery in administrative data vs NSQIP: a multi-institutional study

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    Previous studies have documented significant differences between administrative data and registry data in the determination of postoperative venous thromboembolism (VTE). The goal of this study was to characterize the discordance between administrative and registry data in the determination of postoperative VTE.This study was performed using data from the American College of Surgeons NSQIP merged with administrative data from 8 different hospitals (5 different medical centers) between 2013 and 2015. Occurrences of postoperative vein thrombosis (VT) and pulmonary embolism (PE) as ascertained by administrative data and NSQIP data were compared. In each situation where the 2 sources disagreed (discordance), a 2-clinician chart review was performed to characterize the reasons for discordance.The cohort used for analysis included 43,336 patients, of which 53.3% were female and the mean age was 59.5 years. Concordance between administrative and NSQIP data was worse for VT (κ 0.57; 95% CI 0.51 to 0.62) than for PE (κ 0.83; 95% CI 0.78 to 0.89). A total of 136 cases of discordance were noted in the assessment of VT; of these, 50 (37%) were explained by differences in the criteria used by administrative vs NSQIP systems. In the assessment of postoperative PE, administrative data had a higher accuracy than NSQIP data (odds ratio for accuracy 2.86; 95% CI 1.11 to 7.14) when compared with the 2-clinician chart review.This study identifies significant problems in ability of both NSQIP and administrative data to assess postoperative VT/PE. Administrative data functioned more accurately than NSQIP data in the identification of postoperative PE. The mechanisms used to translate VTE measurement into quality improvement should be standardized and improved

    The genetic architecture of the human cerebral cortex

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    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

    Exploration of Shared Genetic Architecture Between Subcortical Brain Volumes and Anorexia Nervosa

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    Mammographic density changes in surgical weight loss-an indication for personalized screening

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    Abstract Background Obesity and high radiologic breast density independently increase breast cancer risk. We evaluated the effect of surgical weight loss on mammographic density (MD). Methods Patients undergoing bariatric surgery and screening mammography (MG) were identified, data regarding demographics, comorbidities, calculated and genetic breast cancer risk was collected. Patients had a MG before and after surgery. Fellowship-trained breast radiologists assigned Breast Imaging Reporting and Data System density categories. Results Patients underwent sleeve gastrectomy (n = 56) or gastric bypass (n = 7), 78% had hypertension, 48% had diabetes. Four had deleterious BRCA mutations, four were calculated high risk. Mean weight loss = 28.7 kg. Mean initial BMI = 44.3 kg/m2 (range:33–77), final BMI = 33.6 kg/m2 (range:20–62;p < 0.01). Density was unchanged in 53, decreased in 1, increased in 9. Of these 9(14%), 5 changed from almost entirely fatty to scattered MD, and 4 changed from scattered MD to heterogeneously dense. Mean weight loss of the 9 with increased MD was greater than the cohort (37.7vs.28.7 kg;p < 0.01). Conclusions Surgical weight loss increased MD in 14%. Increased MD masks malignancies, patients may benefit from additional screening based on calculated risk assessments that include MD
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