Longitudinal Investigation of Interrelated Risk Factors of Delinquency and Academic Achievement

2010 ◽  
Author(s):  
Kara Wisniewski ◽  
Tammy L. Hughes ◽  
Jeffrey A. Miller ◽  
Cheon Graham ◽  
Jessica Scott
Keyword(s):  
Risk Factors ◽  
Academic Achievement ◽  
Longitudinal Investigation

scholarly journals Socio-Educational Factors to Promote Educational Inclusion in Higher Education. A Question of Student Achievement

2021 ◽  
Vol 11 (3) ◽  
pp. 123
Author(s):  
Mª del Mar García-Vita ◽  
Marta Medina-García ◽  
Giselle Paola Polo Amashta ◽  
Lina Higueras-Rodríguez
Keyword(s):  
Higher Education ◽  
Risk Factors ◽  
Academic Achievement ◽  
Direct Impact ◽  
Structured Interviews ◽  
Sexual Diversity ◽  
Educational Perspective ◽  
High Level ◽  
Educational Inclusion ◽  
Diverse Groups

Psychosocial factors have a direct impact on the academic achievement of university students, especially when they belong to diverse human groups. This article shows the results of a project developed in a Colombian university with the aim of finding out the identity traits, situations of discrimination, and risk factors faced by students belonging to diverse groups. The research is qualitative, exploratory, and descriptive, approached from a social and educational perspective. Semi-structured interviews were conducted with 15 students. The high level of identification with the group is visible in stufuigureents with affective-sexual diversity, gender identity and ethnic-cultural diversity, considered to be the most discriminated-against populations. Risks in the labor, educational, social, and family spheres are the most frequent.

Association between Screen Time and Cardiometabolic Risk Factors and Academic Achievement among Children

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Hernández-Luengo Monserrat ◽  
Álvarez-Bueno Celia ◽  
Alfonso María Eugenia Visier ◽  
Tébar Andrés Redondo ◽  
Notario-Pacheco Blanca ◽  
...  
Keyword(s):  
Risk Factors ◽  
Academic Achievement ◽  
Screen Time ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

Black-White Differences In Venous Thrombosis Risk: the Longitudinal Investigation of Thromboembolism Etiology (LITE)

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 478-478 ◽  
Author(s):  
Neil Zakai ◽  
Pamela Lutsey ◽  
Aaron Folsom ◽  
Mary Cushman
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Venous Thrombosis ◽  
Factor Viii ◽  
Protein C ◽  
Cox Models ◽  
Longitudinal Investigation ◽  
Thrombosis Risk ◽  
Increased Risk ◽  
Age And Sex

Abstract Abstract 478 Black-White Differences in Venous Thrombosis Risk: The Longitudinal Investigation of Thromboembolism Etiology (LITE). Neil A. Zakai, Pamela L. Lutsey, Aaron R. Folsom, Mary Cushman. Introduction: Venous thrombosis (VT) is more common in blacks than whites. The reasons for this difference and whether it is explained by racial differences in VT risk factors is not known. Methods: VT was ascertained by physician review of medical records in the Longitudinal Investigation of Thromboembolism Etiology (LITE), a prospective observational study of 21,680 men and women age 45–100 years participating in the Atherosclerosis Risk in Communities Study (ARIC) and the Cardiovascular Health Study (CHS) cohorts. VT was classified as provoked if preceded within 90 days by major surgery, trauma, immobility, or associated with active cancer or chemotherapy. We used age- and sex-adjusted Cox models to evaluate whether certain VT risk factors explained the increased risk of VT in blacks vs whites. We also tested if the impact of VT risk factors differed by race using interaction terms. Most risk factors were assessed in both ARIC and CHS cohorts (body mass index (BMI), diabetes, hypertension, chronic kidney disease (CKD), factor VIII, and education) except the activated partial thromboplastin time (aPTT), von Willebrand factor (vWF), and protein C were measured in ARIC only and C-reactive protein was measured in CHS only. Results: With up to 15 years of follow up, among 20,964 participants (5,054 blacks) without VT at baseline, 648 developed new VT (200 blacks). The age- and sex-standardized incidence of VT per 1000 person-years was higher in blacks than whites for all VT (3.18 vs 1.96), whether the VT was provoked (2.11 vs. 1.24) or unprovoked (1.12 vs. 0.74), all p <0.01. Blacks and whites had a similar incidence of pulmonary embolism (PE) (0.83 vs. 0.76, p = 0.56). Blacks had more adverse levels of many VT risk factors except CKD and a lower aPTT: BMI (29.3 vs. 26.8 kg/m2), diabetes (21 vs 11%), hypertension (59 vs 38%), CKD (5 vs. 12%), high school graduation (58 vs 80%), factor VIII (146 vs 124%), vWF (134 vs 113%), CRP (2.4 vs 1.8 mg/L) protein C (3.13 vs. 3.18 mg/L), all p <0.01. In age- and sex-adjusted Cox models, the relative risk of total VT for blacks vs. whites was 1.67 (95% CI 1.41, 1.97). When risk factors were added to age-, sex- and race-adjusted Cox models, BMI explained 36% of the excess risk of VT in blacks, factor VIII 58%, and vWF 54%. The other risk factors had a minimal impact on the HR for race. When all risk factors measured in both cohorts were considered in the same model, the association of black race with VT was attenuated (HR 1.15; 95% CI 0.94, 1.42). Of the risk factors evaluated, there were significant interactions between race and hypertension, CKD, and aPTT below the median (29s). The table lists the HR for each of these risk factors stratified by race; hypertension and CKD were stronger risk factors for VT in blacks while an aPTT less than the median was a stronger risk factor for VT in whites. Conclusions: Blacks have a higher incidence of VT than whites, whether provoked or unprovoked. The increased risk in blacks was largely explained by a greater prevalence of VT risk factors among blacks, particularly obesity, higher factor VIII and higher vWF. Further, CKD and hypertension were stronger risk factors for VT in blacks, while a shorter aPTT was a weaker risk factor for VT in blacks. Larger studies of VT in blacks addressing environmental and genetic risk factors and health-care disparities are needed to fully understand reasons for these ethnic differences in VT incidence. Disclosure: No relevant conflicts of interest to declare.

scholarly journals Development of an Academic Achievement Risk Assessment Scale for Undergraduates: Low, Medium and High Achievers

2016 ◽  
Vol 6 (1) ◽  
pp. 23 ◽  
Author(s):  
Tahira Jibeen ◽  
Masha Asad Khan
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Academic Achievement ◽  
Drug Abuse ◽  
Parental Involvement ◽  
Assessment Scale ◽  
High Achievers ◽  
Policy Makers ◽  
Parental Practices ◽  
Item Scale

This research has developed The Academic Achievement Risk Assessment Scale [AARS], for identification of the factors which influence performance of undergraduate (448 students); studying at three universities of Lahore, Pakistan. An 18-item scale, with five distinct factors was developed which included lack of motivation, dysfunctional parental practices, parental involvement in drug abuse or antisocial activities, difficulty with peers, and language barrier. The results revealed differences among low, medium and high academic CGPA groups as all five risk factors were significantly related to the low achieving group. The study has implications for teachers, counselors, and policy makers in the field of learning

scholarly journals Despite the Odds: Factors Related to the Academic Success of First Grade Students From At-Risk Backgrounds

2013 ◽  
Vol 7 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Rachel Bode ◽  
Ryan Gallagher ◽  
Elizabeth Vang ◽  
Aydin Yücesan Durgunoğlu
Keyword(s):  
Risk Factors ◽  
Academic Achievement ◽  
Academic Success ◽  
Low Income ◽  
Family Income ◽  
First Grade ◽  
Limited Sample ◽  
Limited Sample Size ◽  
Academic Capital ◽  
Positive Experiences

Research indicates that family income and linguistic background are related to students’ academic achievement, as evidenced by the gaps in the academic achievement levels of children from families with high or low income, and children with English as their first or additional language. However, there are students who succeed despite these risk factors. In this qualitative study, we interviewed two cohorts of parents who had first-grade children doing well in school. Even with the limited sample size, there were some consistent patterns in the environments of these children, namely, warm parenting with boundaries; academic capital in the home; thoughtful guidance of activities at home; close-knit family; and positive experiences at school.

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