Relationship of Nutritional Factors to Cognitive Decline in the Progression of Dementia: The Cache County Dementia Progression Study

Previous studies have found nutritional status to predict better functional and cognitive ability in dementia. The current study investigated the relationship between nutritional status and progression of neuropsychological impairment in a U.S. sample of persons with dementia. Participants were studied for up to 6 years in the population-based Cache County, UT, study. Baseline sample included 240 persons with dementia (71.3% Alzheimer’s disease, 52.1% female). Mean (SD) age and dementia duration at baseline was 85.6 (5.2) and 3.4 (1.9) years, respectively. Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) neuropsychological test battery and Boston Naming Test (30-item) were administered annually. Nutritional status was assessed using a modified Mini Nutritional Assessment (mMNA). Components of nutritional status were chosen for further investigation (dietary intake and BMI). Linear mixed effects models examined change in nutritional status and food consumption over time as well as the association between mMNA and its components (time-varying) with each neuropsychological measure and rate of decline over time. The following covariates were tested as appropriate: dementia type, gender, age of dementia onset and duration (at baseline), education, neuropsychiatric symptoms, caregiver coresidence, place of residence, overall health, and dementia severity. mMNA scores decreased by .22 pts/year (p = .006), though this was confounded by dementia severity (β = -.12, p = .108). Consumption of carbohydrates (β = -.09), protein (β = -.07) and fruit/vegetables (β = -.08) also declined over time, all p \u3c .05). Better nutritional status was associated with better neuropsychological test scores across all visits in verbal learning (β = .23), praxis drawing (β = .23), praxis memory (β = .08), verbal fluency (β = .34) and confrontation naming (β = .31), while mMNA predicted rate of decline in verbal recognition memory (β = .13); all p \u3c .001, with the inclusion of covariates. Higher protein intake was associated with worse verbal learning, while higher BMI predicted better scores on all neuropsychological tests except for confrontation naming. The results emphasize the importance of nutritional status in dementia and raises the possibility of nutritional interventions that may improve patient outcomes

The Correlation between Confidence and Knowledge of Evidence-Based Practice among Occupational Therapy Students

Evidence-based practice (EBP) is used throughout multiple health-care professions and includes the use of best research available, client preferences, and the practitioner’s experience. Occupational therapy educational programs are required to incorporate EBP into their curriculum. A convenience sample of occupational therapy students from a private university completed a survey designed to measure students’ knowledge and confidence in EBP. The survey consisted of the Knowledge of Research Evidence Competencies (K-REC) and the Evidence-Based Practice Confidence (EPIC) scale, as well as demographic questions. Of the respondents (n = 47), third-year students indicated higher confidence in the ability to utilize EBP and higher levels of knowledge related to EBP than second- or first-year students. The more didactic and clinical experience that the students had, the more knowledge related to EBP they had, which increased their confidence in the implementation of EBP. The knowledge and confidence that students gain of EBP within their educational training and clinical experiences can influence their future use and implementation of EBP as clinicians. Without this information, therapists will lack the confidence and ability to apply EBP principles in a changing and demanding health-care environment

Integrating natural gradients, experiments, and statistical modeling in a distributed network experiment: An example from the WaRM Network

A growing body of work examines the direct and indirect effects of climate change on ecosystems, typically by using manipulative experiments at a single site or performing meta-analyses across many independent experiments. However, results from single-site studies tend to have limited generality. Although meta-analytic approaches can help overcome this by exploring trends across sites, the inherent limitations in combining disparate datasets from independent approaches remain a major challenge. In this paper, we present a globally distributed experimental network that can be used to disentangle the direct and indirect effects of climate change. We discuss how natural gradients, experimental approaches, and statistical techniques can be combined to best inform predictions about responses to climate change, and we present a globally distributed experiment that utilizes natural environmental gradients to better understand long-term community and ecosystem responses to environmental change. The warming and (species) removal in mountains (WaRM) network employs experimental warming and plant species removals at high- and low-elevation sites in a factorial design to examine the combined and relative effects of climatic warming and the loss of dominant species on community structure and ecosystem function, both above- and belowground. The experimental design of the network allows for increasingly common statistical approaches to further elucidate the direct and indirect effects of warming. We argue that combining ecological observations and experiments along gradients is a powerful approach to make stronger predictions of how ecosystems will function in a warming world as species are lost, or gained, in local communities

Integrating natural gradients, experiments, and statistical modeling in a distributed network experiment: An example from the WaRM Network

A growing body of work examines the direct and indirect effects of climate change on ecosystems, typically by using manipulative experiments at a single site or performing meta-analyses across many independent experiments. However, results from single-site studies tend to have limited generality. Although meta-analytic approaches can help overcome this by exploring trends across sites, the inherent limitations in combining disparate datasets from independent approaches remain a major challenge. In this paper, we present a globally distributed experimental network that can be used to disentangle the direct and indirect effects of climate change. We discuss how natural gradients, experimental approaches, and statistical techniques can be combined to best inform predictions about responses to climate change, and we present a globally distributed experiment that utilizes natural environmental gradients to better understand long-term community and ecosystem responses to environmental change. The warming and (species) removal in mountains (WaRM) network employs experimental warming and plant species removals at high- and low-elevation sites in a factorial design to examine the combined and relative effects of climatic warming and the loss of dominant species on community structure and ecosystem function, both above- and belowground. The experimental design of the network allows for increasingly common statistical approaches to further elucidate the direct and indirect effects of warming. We argue that combining ecological observations and experiments along gradients is a powerful approach to make stronger predictions of how ecosystems will function in a warming world as species are lost, or gained, in local communities

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significant SNPs, and a separate X-chromosome additive GWAS identifies 57

Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

Background: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on postoperative recovery needs to be understood to inform clinical decision making during and after the COVID-19 pandemic. This study reports 30-day mortality and pulmonary complication rates in patients with perioperative SARS-CoV-2 infection. Methods: This international, multicentre, cohort study at 235 hospitals in 24 countries included all patients undergoing surgery who had SARS-CoV-2 infection confirmed within 7 days before or 30 days after surgery. The primary outcome measure was 30-day postoperative mortality and was assessed in all enrolled patients. The main secondary outcome measure was pulmonary complications, defined as pneumonia, acute respiratory distress syndrome, or unexpected postoperative ventilation. Findings: This analysis includes 1128 patients who had surgery between Jan 1 and March 31, 2020, of whom 835 (74·0%) had emergency surgery and 280 (24·8%) had elective surgery. SARS-CoV-2 infection was confirmed preoperatively in 294 (26·1%) patients. 30-day mortality was 23·8% (268 of 1128). Pulmonary complications occurred in 577 (51·2%) of 1128 patients; 30-day mortality in these patients was 38·0% (219 of 577), accounting for 81·7% (219 of 268) of all deaths. In adjusted analyses, 30-day mortality was associated with male sex (odds ratio 1·75 [95% CI 1·28–2·40], p\textless0·0001), age 70 years or older versus younger than 70 years (2·30 [1·65–3·22], p\textless0·0001), American Society of Anesthesiologists grades 3–5 versus grades 1–2 (2·35 [1·57–3·53], p\textless0·0001), malignant versus benign or obstetric diagnosis (1·55 [1·01–2·39], p=0·046), emergency versus elective surgery (1·67 [1·06–2·63], p=0·026), and major versus minor surgery (1·52 [1·01–2·31], p=0·047). Interpretation: Postoperative pulmonary complications occur in half of patients with perioperative SARS-CoV-2 infection and are associated with high mortality. Thresholds for surgery during the COVID-19 pandemic should be higher than during normal practice, particularly in men aged 70 years and older. Consideration should be given for postponing non-urgent procedures and promoting non-operative treatment to delay or avoid the need for surgery. Funding: National Institute for Health Research (NIHR), Association of Coloproctology of Great Britain and Ireland, Bowel and Cancer Research, Bowel Disease Research Foundation, Association of Upper Gastrointestinal Surgeons, British Association of Surgical Oncology, British Gynaecological Cancer Society, European Society of Coloproctology, NIHR Academy, Sarcoma UK, Vascular Society for Great Britain and Ireland, and Yorkshire Cancer Research

Thinking about Race: The Salience of Racial Identity at Two- and Four-Year Colleges and the Climate for Diversity

Racial identity salience is an important component of identity development that is associated with a number of educational outcomes. Using the Diverse Learning Environments Survey, this study identifies precollege and college experiences that contribute to a heightened salience of racial identity, and its relationship to perceptions of campus climate