Kent State University

About: Kent State University is a education organization based out in Kent, Ohio, United States. It is known for research contribution in the topics: Liquid crystal & Population. The organization has 10897 authors who have published 24607 publications receiving 720309 citations. The organization is also known as: Kent State & KSU.

A brief risk-stratification tool to predict repeat emergency department visits and hospitalizations in older patients discharged from the emergency department.

Abstract: Objectives: To evaluate the predictive ability of a simple six-item triage risk screening tool (TRST) to identify elder emergency department (ED) patients at risk for ED revisits, hospitalization, or nursing home (NH) placement within 30 and 120 days following ED discharge. Methods: Prospective cohort study of 650 community-dwelling elders (age 65 years or older) presenting to two urban academic EDs. Subjects were prospectively evaluated with a simple six-item ED nursing TRST. Participants were interviewed 30 and 120 days post-ED index visit and the utilization of EDs, hospitals, or NHs was recorded. Main outcome measurement was the ability of the TRST to predict the composite endpoint of subsequent ED use, hospital admission, or NH admission at 30 and 120 days. Individual outcomes of ED use, hospitalization, and NH admissions were also examined. Results: Increasing cumulative TRST scores were associated with significant trends for ED use, hospital admission, and composite outcome at both 30 and 120 days (p < 0.0001 for all, except 30-day ED use, p = 0.002). A simple, unweighted five-item TRST (“lives alone” item removed after logistic regression modeling) with a cut-off score of 2 was the most parsimonious model for predicting composite outcome (AUC = 0.64) and hospitalization at 30 days (AUC = 0.72). Patients defined as high-risk by the TRST (score ≥ 2) were significantly more likely to require subsequent ED use (RR = 1.7; 95% CI = 1.2 to 2.3), hospital admission (RR = 3.3; 95% CI = 2.2 to 5.1), or the composite outcome (RR = 1.9; 95% CI 1.7 to 2.9) at both 30 days and 120 days than the low-risk cohort. Conclusions: Older ED patients with two or more risk factors on a simple triage screening tool were found to be at significantly increased risk for subsequent ED use, hospitalization, and nursing home admission.

Perceived health status and mortality among older men and women.

Abstract: This article separately examines the relationship of perceived health status and mortality for the 1,599 men and 2,904 women self-respondents in the Longitudinal Study on Aging. Using hierarchical logistic regression, the zero-order relationships are decomposed by the serial introduction of demographic, socioeconomic, health status, and psychosocial factors. For men, only those in poor health are significantly more likely to die than those in excellent health (adjusted odds ratio = 1.754), all other things being equal. For women, those in fair or poor health are more likely to die than those in excellent health (adjusted odds ratios = 1.870 and 2.181, respectively), all other things being equal.

Scale and structure in natural food webs.

Abstract: The degree to which widely accepted generalizations about food web structure apply to natural communities was determined through examination of 50 pelagic webs sampled consistently with even taxonomic resolution of all trophic levels. The fraction of species in various trophic categories showed no significant overall trends as the number of species varied from 10 to 74. In contrast, the number of links per species increased fourfold over the range of species number, suggesting that the link-species scaling law, defined on the basis of aggregated webs, does not reflect a real ecological trend.

The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students

Abstract: Today’s cell phones increase opportunities for activities traditionally defined as sedentary behaviors (e.g., surfing the internet, playing video games). People who participate in large amounts of sedentary behaviors, relative to those who do not, tend to be less physically active, less physically fit, and at greater risk for health problems. However, cell phone use does not have to be a sedentary behavior as these devices are portable. It can occur while standing or during mild-to-moderate intensity physical activity. Thus, the relationship between cell phone use, physical and sedentary activity, and physical fitness is unclear. The purpose of this study was to investigate these relationships among a sample of healthy college students. Participants were first interviewed about their physical activity behavior and cell phone use. Then body composition was assessed and the validated self-efficacy survey for exercise behaviors completed. This was followed by a progressive exercise test on a treadmill to exhaustion. Peak oxygen consumption (VO2 peak) during exercise was used to measure cardiorespiratory fitness. Hierarchical regression was used to assess the relationship between cell phone use and cardiorespiratory fitness after controlling for sex, self-efficacy, and percent body fat. Interview data was transcribed, coded, and Chi-square analysis was used to compare the responses of low and high frequency cell phone users. Cell phone use was significantly (p = 0.047) and negatively (β = −0.25) related to cardio respiratory fitness independent of sex, self-efficacy, and percent fat which were also significant predictors (p < 0.05). Interview data offered several possible explanations for this relationship. First, high frequency users were more likely than low frequency users to report forgoing opportunities for physical activity in order to use their cell phones for sedentary behaviors. Second, low frequency users were more likely to report being connected to active peer groups through their cell phones and to cite this as a motivation for physical activity. Third, high levels of cell phone use indicated a broader pattern of sedentary behaviors apart from cell phone use, such as watching television. Cell phone use, like traditional sedentary behaviors, may disrupt physical activity and reduce cardiorespiratory fitness.