Early College Credit Programs Positively Impact Student Success

2018 ◽  
Vol 30 (1) ◽  
pp. 27-49 ◽  
Author(s):  
Kathleen Burns ◽  
William A. Ellegood ◽  
Jill M. Bernard Bracy ◽  
Mimi Duncan ◽  
Donald C. Sweeney
Keyword(s):  
Proportional Hazards ◽  
Degree Attainment ◽  
American College Test ◽  
Cox Proportional Hazards ◽  
Early College ◽  
Full Time ◽  
College Credit ◽  
Grade Point ◽  
Time To Degree ◽  
Credit Programs

This article presents an exploratory case study examining the effects of different early college credit programs on time to baccalaureate degree attainment at a metropolitan Midwestern United States land grant university. We developed a Cox proportional hazards regression model of a students’ time to degree attainment as a function of their participation in different early college credit programs while controlling for each student’s preenrollment grade point average (GPA), American College Test (ACT) test score, gender, part or full-time enrollment status, ethnicity, and seasonal (Fall, Spring, or Summer) semester of initial matriculation. The most noteworthy finding of our analysis was that each early college credit program appeared to have a positive and statistically significant impact on reducing the time to degree attainment with all other factors being equal. However, the mechanisms through which these programs affect the time to degree attainment appeared to be differentiated by program.

scholarly journals Academic performance, subsequent socioeconomic status and suicide attempt in adulthood: path analyses on Swedish cohort data

2020 ◽  
pp. jech-2020-214402
Author(s):  
Alma Sörberg Wallin ◽  
Kimmo Sorjonen ◽  
Anton Lager ◽  
Daniel Falkstedt
Keyword(s):  
Academic Performance ◽  
Suicide Attempt ◽  
Educational Attainment ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Swedish Population ◽  
Grade Point ◽  
Path Analyses ◽  
Age Range

BackgroundPoor academic performance in childhood is associated with suicide attempt in adulthood, but the mechanisms are not known. We investigated educational attainment as a possible pathway.MethodsWe followed two sets of cohorts, born around 1950/1970, respectively, in the Swedish population-representative ‘Evaluation Through Follow-up’ study for a first suicide attempt in national records up to 2013. Data on grade point average (GPA) at age 13/16 and educational attainment (years of schooling) in adulthood were used. The path models included linear and Cox proportional hazards regressions. A model with matched age range during follow-up was used to compare the cohorts.ResultsIn the 1970 cohort, the association between GPA and suicide attempt between age 26 and 46 was partly mediated by attained education (total association, β=−0.82; via education: −0.29, per SD increase in GPA), but GPA also had a direct path to suicide attempt (β=−0.53). There was no evidence of such a pathway in the 1950 cohort between age 41 and 65. In the age-matched analysis, at age 26–46, the association between GPA and suicide attempt was stronger in the 1970 cohort compared to the 1950 cohort (β=−0.72 and −0.24, respectively).ConclusionsDifferences in attained education seem to partly explain the associations of academic performance with suicide attempt up to middle age. Furthermore, there is some indication that academic performance may have become more important for young people’s mental health than it was in previous generations.

Supporting Scholar-Practitioners toward Doctoral Degree Attainment

2016 ◽  
pp. 286-299
Author(s):  
Sarah Marie Marshall ◽  
Barbara A. Klocko
Keyword(s):  
Doctoral Students ◽  
Degree Attainment ◽  
Doctoral Degree ◽  
Full Time ◽  
Doctoral Completion ◽  
Dissertation Completion ◽  
Time To Degree ◽  
Part Time Students ◽  
Part Time

This chapter examines the role of practitioner as scholar; overviews doctoral completion statistics and Time To Degree (TTD); reviews the literature on barriers and facilitating factors to dissertation completion with particular focus on part-time students who work full-time; and outlines ongoing departmental strategies for improving doctoral completion rates and reducing the time to degree. The aim of this chapter is to serve as a resource for doctoral students, faculty dissertation advisors, and program directors who wish to strengthen programs and practices to achieve the common goal of timely dissertation completion leading to the earned doctoral degree.

scholarly journals Determinants of Full Breastfeeding at 6 Months and Any Breastfeeding at 12 and 24 Months among Women in Sydney: Findings from the HSHK Birth Cohort Study

2020 ◽  
Vol 17 (15) ◽  
pp. 5384
Author(s):  
Ritesh Chimoriya ◽  
Jane Anne Scott ◽  
James Rufus John ◽  
Sameer Bhole ◽  
Andrew Hayen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Breast Milk ◽  
Birth Cohort ◽  
Maternal Education ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Breastfeeding Duration ◽  
Birth Cohort Study ◽  
Full Time ◽  
Increased Risk

The aim of this study was to report on breastfeeding duration up to 24 months and determine the predictors of breastfeeding duration among women in South Western Sydney, one of the most culturally diverse and socioeconomically disadvantaged regions of New South Wales (NSW), Australia. Mother–infant dyads (n = 1035) were recruited to the Healthy Smiles Healthy Kids birth cohort study. Study data were collected through telephone interviews at 2, 4, 8, 12, and 24 months postpartum. Cox proportional hazards models were used to determine factors associated with the risk of stopping full breastfeeding at six months and any breastfeeding at 12 and 24 months. The majority of mothers (92.3%) had initiated breastfeeding. At six months, 13.5% of infants were fully breastfed, while 49.9% received some breast milk. Only 25.5% and 2.9% of infants received some breast milk at 12 and 24 months, respectively. Lower maternal education level, lower socioeconomic status, full-time employment, maternal smoking during pregnancy, and caesarean delivery were associated with increased risk of stopping full breastfeeding at six months and any breastfeeding at 12 and 24 months. Older maternal age and partner’s preference for breastfeeding were associated with an increased likelihood of continuing any breastfeeding at 12 and 24 months. These findings present a number of opportunities for prolonging breastfeeding duration in disadvantaged communities in NSW.

Age at Exposure to Parental Suicide and the Subsequent Risk of Suicide in Young People

Crisis ◽  
2018 ◽  
Vol 39 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Kuan-Ying Lee ◽  
Chung-Yi Li ◽  
Kun-Chia Chang ◽  
Tsung-Hsueh Lu ◽  
Ying-Yeh Chen
Keyword(s):  
Young People ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Birth Registry ◽  
Data Set ◽  
Parental Suicide ◽  
The Impact ◽  
Age At Exposure

Abstract. Background: We investigated the age at exposure to parental suicide and the risk of subsequent suicide completion in young people. The impact of parental and offspring sex was also examined. Method: Using a cohort study design, we linked Taiwan's Birth Registry (1978–1997) with Taiwan's Death Registry (1985–2009) and identified 40,249 children who had experienced maternal suicide (n = 14,431), paternal suicide (n = 26,887), or the suicide of both parents (n = 281). Each exposed child was matched to 10 children of the same sex and birth year whose parents were still alive. This yielded a total of 398,081 children for our non-exposed cohort. A Cox proportional hazards model was used to compare the suicide risk of the exposed and non-exposed groups. Results: Compared with the non-exposed group, offspring who were exposed to parental suicide were 3.91 times (95% confidence interval [CI] = 3.10–4.92 more likely to die by suicide after adjusting for baseline characteristics. The risk of suicide seemed to be lower in older male offspring (HR = 3.94, 95% CI = 2.57–6.06), but higher in older female offspring (HR = 5.30, 95% CI = 3.05–9.22). Stratified analyses based on parental sex revealed similar patterns as the combined analysis. Limitations: As only register-­based data were used, we were not able to explore the impact of variables not contained in the data set, such as the role of mental illness. Conclusion: Our findings suggest a prominent elevation in the risk of suicide among offspring who lost their parents to suicide. The risk elevation differed according to the sex of the afflicted offspring as well as to their age at exposure.

Proliferation-dominant high-grade astrocytoma: survival benefit associated with extensive resection of FLAIR abnormality region

2020 ◽  
Vol 132 (4) ◽  
pp. 998-1005 ◽  
Author(s):  
Haihui Jiang ◽  
Yong Cui ◽  
Xiang Liu ◽  
Xiaohui Ren ◽  
Mingxiao Li ◽  
...  
Keyword(s):  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Characteristic Curve ◽  
Extent Of Resection ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
High Grade ◽  
Extensive Resection ◽  
High Grade Astrocytoma

OBJECTIVEThe aim of this study was to investigate the relationship between extent of resection (EOR) and survival in terms of clinical, molecular, and radiological factors in high-grade astrocytoma (HGA).METHODSClinical and radiological data from 585 cases of molecularly defined HGA were reviewed. In each case, the EOR was evaluated twice: once according to contrast-enhanced T1-weighted images (CE-T1WI) and once according to fluid attenuated inversion recovery (FLAIR) images. The ratio of the volume of the region of abnormality in CE-T1WI to that in FLAIR images (VFLAIR/VCE-T1WI) was calculated and a receiver operating characteristic curve was used to determine the optimal cutoff value for that ratio. Univariate and multivariate analyses were performed to identify the prognostic value of each factor.RESULTSBoth the EOR evaluated from CE-T1WI and the EOR evaluated from FLAIR could divide the whole cohort into 4 subgroups with different survival outcomes (p < 0.001). Cases were stratified into 2 subtypes based on VFLAIR/VCE-T1WIwith a cutoff of 10: a proliferation-dominant subtype and a diffusion-dominant subtype. Kaplan-Meier analysis showed a significant survival advantage for the proliferation-dominant subtype (p < 0.0001). The prognostic implication has been further confirmed in the Cox proportional hazards model (HR 1.105, 95% CI 1.078–1.134, p < 0.0001). The survival of patients with proliferation-dominant HGA was significantly prolonged in association with extensive resection of the FLAIR abnormality region beyond contrast-enhancing tumor (p = 0.03), while no survival benefit was observed in association with the extensive resection in the diffusion-dominant subtype (p=0.86).CONCLUSIONSVFLAIR/VCE-T1WIis an important classifier that could divide the HGA into 2 subtypes with distinct invasive features. Patients with proliferation-dominant HGA can benefit from extensive resection of the FLAIR abnormality region, which provides the theoretical basis for a personalized resection strategy.

scholarly journals Adaptive metabolic and inflammatory responses identified using accelerated aging metrics are linked to adverse outcomes in severe SARS-CoV-2 infection

2021 ◽  
Author(s):  
Alejandro Márquez-Salinas ◽  
Carlos A Fermín-Martínez ◽  
Neftalí Eduardo Antonio-Villa ◽  
Arsenio Vargas-Vázquez ◽  
Enrique C. Guerra ◽  
...  
Keyword(s):  
Critical Illness ◽  
Proportional Hazards ◽  
Inflammatory Responses ◽  
Age Groups ◽  
Accelerated Aging ◽  
Cox Proportional Hazards ◽  
Adverse Outcomes ◽  
Adaptive Responses ◽  
Predictive Capacity ◽  
Risk Of Death

Abstract Background Chronological age (CA) is a predictor of adverse COVID-19 outcomes; however, CA alone does not capture individual responses to SARS-CoV-2 infection. Here, we evaluated the influence of aging metrics PhenoAge and PhenoAgeAccel to predict adverse COVID-19 outcomes. Furthermore, we sought to model adaptive metabolic and inflammatory responses to severe SARS-CoV-2 infection using individual PhenoAge components. Methods In this retrospective cohort study, we assessed cases admitted to a COVID-19 reference center in Mexico City. PhenoAge and PhenoAgeAccel were estimated using laboratory values at admission. Cox proportional hazards models were fitted to estimate risk for COVID-19 lethality and adverse outcomes (ICU admission, intubation, or death). To explore reproducible patterns which model adaptive responses to SARS-CoV-2 infection, we used k-means clustering using PhenoAge components. Results We included 1068 subjects of whom 222 presented critical illness and 218 died. PhenoAge was a better predictor of adverse outcomes and lethality compared to CA and SpO2 and its predictive capacity was sustained for all age groups. Patients with responses associated to PhenoAgeAccel&gt;0 had higher risk of death and critical illness compared to those with lower values (log-rank p&lt;0.001). Using unsupervised clustering we identified four adaptive responses to SARS-CoV-2 infection: 1) Inflammaging associated with CA, 2) metabolic dysfunction associated with cardio-metabolic comorbidities, 3) unfavorable hematological response, and 4) response associated with favorable outcomes. Conclusions Adaptive responses related to accelerated aging metrics are linked to adverse COVID-19 outcomes and have unique and distinguishable features. PhenoAge is a better predictor of adverse outcomes compared to CA.

scholarly journals Adapting the Default Weighted Survival Analysis Modelling Approach to Model IFRS 9 LGD

Risks ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 103
Author(s):  
Morne Joubert ◽  
Tanja Verster ◽  
Helgard Raubenheimer ◽  
Willem D. Schutte
Keyword(s):  
Survival Analysis ◽  
Financial Reporting ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Survival Curve ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Reporting Standard ◽  
International Financial Reporting Standard ◽  
Ifrs 9

Survival analysis is one of the techniques that could be used to predict loss given default (LGD) for regulatory capital (Basel) purposes. When using survival analysis to model LGD, a proposed methodology is the default weighted survival analysis (DWSA) method. This paper is aimed at adapting the DWSA method (used to model Basel LGD) to estimate the LGD for International Financial Reporting Standard (IFRS) 9 impairment requirements. The DWSA methodology allows for over recoveries, default weighting and negative cashflows. For IFRS 9, this methodology should be adapted, as the estimated LGD is a function of in the expected credit losses (ECL). Our proposed IFRS 9 LGD methodology makes use of survival analysis to estimate the LGD. The Cox proportional hazards model allows for a baseline survival curve to be adjusted to produce survival curves for different segments of the portfolio. The forward-looking LGD values are adjusted for different macro-economic scenarios and the ECL is calculated for each scenario. These ECL values are probability weighted to produce a final ECL estimate. We illustrate our proposed IFRS 9 LGD methodology and ECL estimation on a dataset from a retail portfolio of a South African bank.

scholarly journals Perioperative Geriatric Assessment as A Predictor of Long-Term Hepatectomy Outcomes in Elderly Patients with Hepatocellular Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 842
Author(s):  
Masaki Kaibori ◽  
Hideyuki Matsushima ◽  
Morihiko Ishizaki ◽  
Hisashi Kosaka ◽  
Kosuke Matsui ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Geriatric Assessment ◽  
Proportional Hazards ◽  
Prognostic Indicator ◽  
Cox Proportional Hazards ◽  
Rate Of Change ◽  
Score Change ◽  
Comorbidity Burden ◽  
Reduction Group

This retrospective study recorded pertinent baseline geriatric assessment variables to identify risk factors for recurrence-free survival (RFS) and overall survival (OS) after hepatectomy in 100 consecutive patients aged ≥70 years with hepatocellular carcinoma. Patients had geriatric assessments of cognition, nutritional and functional statuses, and comorbidity burden, both preoperatively and at six months postoperatively. The rate of change in each score between preoperative and postoperative assessments was calculated by subtracting the preoperative score from the score at six months postoperatively, then dividing by the score at six months postoperatively. Patients with score change ≥0 comprised the maintenance group, while patients with score change <0 comprised the reduction group. The change in Geriatric 8 (G8) score at six months postoperatively was the most significant predictive factor for RFS and OS among the tested geriatric assessments. Five-year RFS rates were 43.4% vs. 6.7% (maintenance vs. reduction group; HR, 0.19; 95%CI, 0.11–0.31; p < 0.001). Five-year OS rates were 73.8% vs. 17.8% (HR, 0.12; 95%CI, 0.06–0.25; p < 0.001). Multivariate Cox proportional hazards analysis showed that perioperative maintenance of G8 score was an independent prognostic indicator for both RFS and OS. Perioperative changes in G8 scores can help forecast postoperative long-term outcomes in these patients.

PETCO2 gradient: a novel prognostic parameter in cardiopulmonary exercise testing

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
I.D Poveda Pinedo ◽  
I Marco Clement ◽  
O Gonzalez ◽  
I Ponz ◽  
A.M Iniesta ◽  
...  
Keyword(s):  
Exercise Testing ◽  
Proportional Hazards ◽  
Cardiopulmonary Exercise Testing ◽  
Cox Proportional Hazards ◽  
Prognostic Parameter ◽  
Cardiopulmonary Exercise ◽  
Proportional Hazards Regression ◽  
Kaplan Meier ◽  
Baseline Characteristics ◽  
The Difference

Abstract Background Previous parameters such as peak VO2, VE/VCO2 slope and OUES have been described to be prognostic in heart failure (HF). The aim of this study was to identify further prognostic factors of cardiopulmonary exercise testing (CPET) in HF patients. Methods A retrospective analysis of HF patients who underwent CPET from January to November 2019 in a single centre was performed. PETCO2 gradient was defined by the difference between final PETCO2 and baseline PETCO2. HF events were defined as decompensated HF requiring hospital admission or IV diuretics, or decompensated HF resulting in death. Results A total of 64 HF patients were assessed by CPET, HF events occurred in 8 (12.5%) patients. Baseline characteristics are shown in table 1. Patients having HF events had a negative PETCO2 gradient while patients not having events showed a positive PETCO2 gradient (−1.5 [IQR −4.8, 2.3] vs 3 [IQR 1, 5] mmHg; p=0.004). A multivariate Cox proportional-hazards regression analysis revealed that PETCO2 gradient was an independent predictor of HF events (HR 0.74, 95% CI [0.61–0.89]; p=0.002). Kaplan-Meier curves showed a significantly higher incidence of HF events in patients having negative gradients, p=0.002 (figure 1). Conclusion PETCO2 gradient was demonstrated to be a prognostic parameter of CPET in HF patients in our study. Patients having negative gradients had worse outcomes by having more HF events. Time to first event, decompensated heart Funding Acknowledgement Type of funding source: None

Sign in / Sign up

Export Citation Format

Share Document