Effects of landscape, habitat and fire and the distribution of the white-footed dunnart Sminthopsis leucopus (Marsupialia: Dasyuridae) in the Eastern Otways, Victoria.

2006 ◽  
Vol 28 (1) ◽  
pp. 27 ◽  
Author(s):  
B. A. Wilson ◽  
J. G. Aberton
Keyword(s):  
Spatial Distribution ◽  
Regression Models ◽  
Predictor Variables ◽  
Species Occurrence ◽  
Patchy Distribution ◽  
Logistic Regression Models ◽  
Parsimonious Model ◽  
Prefered Habitat ◽  
The Relationship ◽  
Landscape Level

Conservation and planning for threatened species requires knowledge of the species? spatial distribution, prefered habitat and response to disturbance factors such as fire. The white-footed dunnart (Sminthopsis leucopus) is currently listed as ?Vulnerable? due to its patchy distribution, the low density of populations and extinction threats. Studies of the species have been limited, and the aims of this study were to investigate the spatial distribution with relationship to landscape, habitat and fire factors. The study was undertaken in the Eastern Otway Ranges, southern Victoria where the species was recorded at 42 sites (44% of survey sites). The sites were all located within 10 km of the coast, and located in vegetation ranging from sclerophyll communities (forest, woodland and heathland) to coastal shrublands dominated by sedges and grasses. Logistic regression models were generated for species occurrence and predictor variables. The most parsimonious model was selected and although there was an association between presence of S. leucopus with landsystem and altitude, support for the models was not strong. The relationship with altitude was negative, indicating a preference for lower elevations. Models developed for other fauna species have identified landscape variables as being strongly predictive of occurrence, indicating that variables other than those investigated may be more suitable in predicting occurrence of S. leucopus at a landscape level. S. leucopus was recorded at a high percentage of sites 6-15 years post-fire age, and at maximal relative abundance at 4-9 years, providing evidence that it prefers mid succession habitats.

785 Reported Restful Sleep Predicting Emotional Distress: Does Exercise (and its modalities) moderate?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A305-A306
Author(s):  
Jesse Moore ◽  
Ellita Williams ◽  
Collin Popp ◽  
Anthony Briggs ◽  
Judite Blanc ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Aerobic Exercise ◽  
Regression Models ◽  
Regression Analyses ◽  
Logistic Regression Models ◽  
The Past ◽  
Strengthening Exercise ◽  
Waking Up ◽  
The Relationship ◽  
Age And Sex

Abstract Introduction Literature shows that exercise moderates the relationship between sleep and emotional distress (ED.) However, it is unclear whether different types of exercise, such as aerobic and strengthening, affect this relationship differently. We investigated the moderating role of two types of exercise (aerobic and strengthening) regarding the relationship between ED and sleep. Methods Our analysis was based on data from 2018 National Health Interview Survey (NHIS), a nationally representative study in which 2,814 participants provided all data. Participants were asked 1) “how many days they woke up feeling rested over the past week”, 2) the Kessler 6 scale to determine ED (a score >13 indicates ED), and 3) the average frequency of strengthening or aerobic exercise per week. Logistic regression analyses were performed to determine if the reported days of waking up rested predicted level of ED. We then investigated whether strengthening or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Logistic regression analyses were performed to determine if subjective reporting of restful sleep predicted level of ED. We investigated whether strengthening exercise or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Results On average, participants reported 4.41 restful nights of sleep (SD =2.41), 3.43 strengthening activities (SD = 3.19,) and 8.47 aerobic activities a week (SD=5.91.) We found a significant association between days over the past week reporting waking up feeling rested and ED outcome according to K6, Χ2(1) = -741, p= <.001. The odds ratio signified a decrease of 52% in ED scores for each unit of restful sleep (OR = .48, (95% CI = .33, .65) p=<.001.) In the logistic regression model with moderation, aerobic exercise had a significant moderation effect, Χ2(1) = .03, p=.04, but strengthening exercise did not. Conclusion We found that restful sleep predicted reduction in ED scores. Aerobic exercise moderated this relationship, while strengthening exercise did not. Further research should investigate the longitudinal effects of exercise type on the relationship between restful sleep and ED. Support (if any) NIH (K07AG052685, R01MD007716, K01HL135452, R01HL152453)

Abstract 3775: Average Blood Glucose and Mortality in Patients Hospitalized with Acute Myocardial Infarction

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Mikhail Kosiborod ◽  
Silvio Inzucchi ◽  
Harlan M Krumholz ◽  
Lan Xiao ◽  
Phillip G Jones ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Hospital Mortality ◽  
Regression Models ◽  
Independent Predictor ◽  
Laboratory Data ◽  
Logistic Regression Models ◽  
Average Blood Glucose ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Better Than

Background: Elevated blood glucose (BG) on admission is associated with higher mortality risk in patients (pts) hospitalized with AMI. However, the prognostic value of average BG, which reflects overall glycemic exposure much better than admission BG, is unknown. Furthermore, the nature of the relationship between average BG and mortality has not been determined. Methods: We evaluated a cohort of 16,871 AMI pts hospitalized from January 2000-December 2005, using Cerner Corporation’s Health Facts® database from 40 hospitals, which contains demographics, clinical and comprehensive laboratory data. Logistic regression models evaluated the nature of the relationship between mean BG during the entire AMI hospitalization and in-hospital mortality, after adjusting for multiple patient factors and confounders. Similar analyses were performed in subgroups of pts with and without diabetes (DM). Results: A J-shaped relationship was observed between mean BG and in-hospital mortality, which persisted after multivariable adjustment (Figure ). Mortality increased with each 10 mg/dL incremental rise in mean BG over >120 mg/dL, and with incremental decline in mean BG <80 mg/dL. The slope of these relationships was much steeper in pts without DM. Conclusions: Average BG during the entire AMI hospitalization is a powerful independent predictor of in-hospital mortality. Both persistent hyper- and hypoglycemia are associated with adverse prognosis. Whether strategies directed at optimizing BG control will improve survival remains to be established. Association Between Mean BG and In-Hospital Mortality After Multivariable Adjustment (Reference: Mean BG 100 to <110)

scholarly journals Patient-Reported Disease-Modifying Therapy Adherence in the Clinic: A Reliable Metric?

2018 ◽  
Vol 4 (2) ◽  
pp. 205521731877789 ◽  
Author(s):  
Devon S Conway ◽  
Maria Cecilia Vieira ◽  
Nicolas R Thompson ◽  
Kaila N Parker ◽  
Xiangyi Meng ◽  
...  
Keyword(s):  
Regression Models ◽  
Patient Reported Outcomes ◽  
Patient Reporting ◽  
Lesion Formation ◽  
Logistic Regression Models ◽  
Disease Modifying Therapy ◽  
Patient Reported ◽  
Relapsing Remitting ◽  
Disease Modifying ◽  
The Relationship

Background Adherence to multiple sclerosis (MS) disease-modifying therapy (DMT) is commonly assessed through patient reporting, but patient-reported adherence is rarely studied. Objective To determine rates of DMT adherence reported from patient to clinician, reasons for nonadherence, and relationships between adherence and outcomes. Methods We identified relapsing–remitting MS patients on DMT for ≥3 months. DMT adherence was defined as taking ≥80% of doses. Linear and logistic regression models were created used to determine the association of baseline adherence with several patient reported outcomes and the timed 25-foot walk at 6 months, 1 year, 2 years, and 3 years after the index visit. Results The analysis included 1148 patients, of whom 501 had data at 6 months, 544 at 1 year, 331 at 2 years, and 247 at 3 years. Baseline adherence was 94.9% and overall adherence was 93.1%. Forgetting was the most common reason for missed doses. In the adjusted models, adherence was not associated with the outcomes. Conclusions Higher than expected adherence and a lack of association between adherence and outcomes suggests patient reported adherence may not be reliable. Further research is needed to clarify the relationship between patient-reported adherence and relapses or new lesion formation.

scholarly journals The association between body dysmorphic symptoms and suicidality among adolescents and young adults: a genetically informative study

2020 ◽  
pp. 1-9
Author(s):  
Georgina Krebs ◽  
Lorena Fernández de la Cruz ◽  
Frühling V. Rijsdijk ◽  
Daniel Rautio ◽  
Jesper Enander ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Regression Models ◽  
Genetic Factors ◽  
Body Dysmorphic Disorder ◽  
Early Adulthood ◽  
Self Report ◽  
Logistic Regression Models ◽  
Substantial Risk ◽  
The Relationship ◽  
Report Measure

Abstract Background Previous research indicates that body dysmorphic disorder (BDD) is associated with risk of suicidality. However, studies have relied on small and/or specialist samples and largely focussed on adults, despite these difficulties commonly emerging in youth. Furthermore, the aetiology of the relationship remains unknown. Methods Two independent twin samples were identified through the Child and Adolescent Twin Study in Sweden, at ages 18 (N = 6027) and 24 (N = 3454). Participants completed a self-report measure of BDD symptom severity. Young people and parents completed items assessing suicidal ideation/behaviours. Logistic regression models tested the association of suicidality outcomes with: (a) probable BDD, classified using an empirically derived cut-off; and (b) continuous scores of BDD symptoms. Bivariate genetic models examined the aetiology of the association between BDD symptoms and suicidality at both ages. Results Suicidal ideation and behaviours were common among those with probable BDD at both ages. BDD symptoms, measured continuously, were linked with all aspects of suicidality, and associations generally remained significant after adjusting for depressive and anxiety symptoms. Genetic factors accounted for most of the covariance between BDD symptoms and suicidality (72.9 and 77.7% at ages 18 and 24, respectively), but with significant non-shared environmental influences (27.1 and 22.3% at ages 18 and 24, respectively). Conclusions BDD symptoms are associated with a substantial risk of suicidal ideation and behaviours in late adolescence and early adulthood. This relationship is largely explained by common genetic liability, but non-shared environmental effects are also significant and could provide opportunities for prevention among those at high-risk.

scholarly journals Risk Assessment Models for Wheat Fusarium Head Blight Epidemics Based on Within-Season Weather Data

2003 ◽  
Vol 93 (4) ◽  
pp. 428-435 ◽  
Author(s):  
E. D. De Wolf ◽  
L. V. Madden ◽  
P. E. Lipps
Keyword(s):  
Logistic Regression ◽  
Relative Humidity ◽  
Fusarium Head Blight ◽  
Prediction Accuracy ◽  
Regression Models ◽  
Weather Conditions ◽  
Predictor Variables ◽  
Stepwise Logistic Regression ◽  
Head Blight ◽  
Logistic Regression Models

Logistic regression models for wheat Fusarium head blight were developed using information collected at 50 location-years, including four states, representing three different U.S. wheat-production regions. Non-parametric correlation analysis and stepwise logistic regression analysis identified combinations of temperature, relative humidity, and rainfall or durations of specified weather conditions, for 7 days prior to anthesis, and 10 days beginning at crop anthesis, as potential predictor variables. Prediction accuracy of developed logistic regression models ranged from 62 to 85%. Models suitable for application as a disease warning system were identified based on model prediction accuracy, sensitivity, specificity, and availability of weather variables at crop anthesis. Four of the identified models correctly classified 84% of the 50 location-years. A fifth model that used only pre-anthesis weather conditions correctly classified 70% of the location-years. The most useful predictor variables were the duration (h) of precipitation 7 days prior to anthesis, duration (h) that temperature was between 15 and 30°C 7 days prior to anthesis, and the duration (h) that temperature was between 15 and 30°C and relative humidity was greater than or equal to 90%. When model performance was evaluated with an independent validation set (n = 9), prediction accuracy was only 6% lower than the accuracy for the original data sets. These results indicate that narrow time periods around crop anthesis can be used to predict Fusarium head blight epidemics.

Modeling the relationship between utterance fluency and raters’ perceived fluency of consecutive interpreting

Interpreting ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 211-237
Author(s):  
Chao Han ◽  
Sijia Chen ◽  
Rongbo Fu ◽  
Qin Fan
Keyword(s):  
Empirical Study ◽  
Regression Models ◽  
Speech Rate ◽  
Strong Correlations ◽  
Automated Scoring ◽  
Time Ratio ◽  
Parsimonious Model ◽  
Consecutive Interpreting ◽  
The Relationship

Abstract Fluency is an important, yet insufficiently understood, construct in interpreting studies. This article reports on an empirical study which explored the relationship between utterance fluency measures and raters’ perceived fluency ratings of English/Chinese consecutive interpreting. It also examined whether such relationship was consistent across interpreting directions and rater types. The results partially supported the categorization of utterance fluency into breakdown, speed and repair fluency. It was also found that mean length of unfilled pauses, phonation time ratio, mean length of run and speech rate had fairly strong correlations with perceived fluency ratings in both interpreting directions and across rater types. Among a number of competing regression models that were built to predict raters’ fluency ratings, a parsimonious model, using mean length of unfilled pauses and mean length of run as predictors, accounted for about 60% of the variance of fluency ratings in both directions and across rater types. These results are expected to help create, rewrite and modify rubrics and scalar descriptors of fluency scales in rater-mediated interpretation assessment and to inform automated scoring of fluency in interpreting.

scholarly journals Low blood pressure and risk of depression in the elderly

2000 ◽  
Vol 176 (5) ◽  
pp. 464-467 ◽  
Author(s):  
Sabrina Paterniti ◽  
Marie-Hélène Verdier-Taillefer ◽  
Catherine Geneste ◽  
Jean-Claude Bisserbe ◽  
Annick Alpérovitch
Keyword(s):  
Blood Pressure ◽  
Regression Models ◽  
Depressive Symptomatology ◽  
The Elderly ◽  
Epidemiological Studies ◽  
Logistic Regression Models ◽  
Drinking Habits ◽  
Low Blood Pressure ◽  
The Relationship

BackgroundThe relationship between depression and low blood pressure is unclear.AimsTo examine the temporal relation between low blood pressure and depression in a two-year follow-up.MethodThe study group consisted of 1389 subjects aged 59–71 years; 1272 (92%) were examined after two years. Subjects completed the Center for Epidemiological Studies–Depression (CES–D) and the Spielberger inventory scales to assess depressive and anxiety symptoms respectively. Data were collected on socio-demographic characteristics, smoking and drinking habits, medical history, drug use and blood pressure measures.ResultsAmong 1112 subjects who were considered as non-depressed at baseline, logistic regression models showed that low diastolic blood pressure (DBP) and decrease of blood pressure were predictors of high depressive symptomatology at follow-up. Baseline high CES–D scores did not predict low blood pressure two years after.ConclusionsIn our study, low blood pressure was a risk factor for, but not a consequence of, high depressive symptomatology.

Do Demographic Factors Moderate How Well Criminal Thinking Predicts Recidivism?

2017 ◽  
Vol 62 (7) ◽  
pp. 2045-2062 ◽  
Author(s):  
Johanna B. Folk ◽  
Jeffrey B. Stuewig ◽  
Brandy L. Blasko ◽  
Michael Caudy ◽  
Andres G. Martinez ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Logistic Regression ◽  
Justice System ◽  
Regression Models ◽  
Demographic Factors ◽  
Jail Inmates ◽  
Criminal Thinking ◽  
Logistic Regression Models ◽  
Two Measures ◽  
The Relationship

Is the relationship between criminal thinking and recidivism the same for criminal justice–involved individuals from varying demographic backgrounds? Relying on two independent samples of offenders and two measures of criminal thinking, the current studies examined whether four demographic factors—gender, race, age, and education—moderated the relationship between criminal thinking and recidivism. Study 1 consisted of 226 drug-involved probationers enrolled in a randomized clinical trial. Study 2 consisted of 346 jail inmates from a longitudinal study. Logistic regression models suggested that the strength of the relationship between criminal thinking and subsequent recidivism did not vary based on participant demographics, regardless of justice system setting or measure of criminal thinking. Criminal thinking predicts recidivism similarly for people who are male, female, Black, White, older, younger, and more or less educated.

scholarly journals The relationship between spiritual health and social trust among students

2021 ◽  
Vol 8 (1) ◽  
pp. 100-107
Author(s):  
Farzin Rezaei ◽  
Hero Hassan ◽  
Arezoo Fallahi ◽  
Reza Gheshlagh ◽  
Shahram Sadeghi ◽  
...  
Keyword(s):  
Regression Models ◽  
Social Trust ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
Spiritual Health ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Iranian Students ◽  
The Relationship ◽  
The City

Social trust and spiritual health play an important role in social communication. The aim of this study was to determine the relationship between spiritual health and social trust among Iranian students. This cross-sectional study was conducted in the city of Sanandaj, in the West of Iran, in 2018. 686 students from 5 universities were included in the study through simple random sampling. The data were collected using established, reliable instruments for the assessment of social trust and spiritual health. Logistic regression models were applied to assess the association between social trust and spiritual health. We reported estimated logits and Odds Ratios (OR) with corresponding 95% confidence intervals (95% CI). The students with a literate father had substantially higher odds of social trust (OR=1.98, 95% CI=1.19-3.28, p<0.01). Also, similar findings were obtained for students with a literate mother compared to those with an illiterate mother (OR=2.09, 95% CI=1.33-3.28, p<0.01). The odds of social trust also increased with the father’s employment status (OR=13.06, 95% CI=4.16-41, p<0.01). The odds of social trust increased with religious health (OR=1.05, 95% CI=1.03-1.08, p<0.01). It is essential to increase spiritual health and the parents’ literacy to promote social trust among the students.

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