Self-Efficacy Dimensions Predictive of School Outcomes Among Chilean High-Risk Adolescents

2010 ◽  
Author(s):  
Lesley M. Graves ◽  
Benedict T. McWhirter ◽  
Ellen Hawley McWhirter ◽  
Jenna P. Wheeler
2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Rachel Ryan ◽  
Jennifer Kleiman ◽  
Miriam Mahmood ◽  
Kayla Wong ◽  
Ronald Lu ◽  
...  

Abstract Objectives Emerging adults attending 2- and 4-year tertiary institutions are at high risk for weight gain/excess weight. Developing effective, tailored interventions requires an understanding of behavioral/environmental differences between student populations. The objective of this study was to describe eating behaviors/the food environment of students with overweight/obesity enrolled in 2- and 4-year tertiary institutions. Methods Students ages 18–24, with a BMI ≥25, enrolled in LaGuardia Community College (N = 41) or New York University (N = 51) were recruited. Height and weight were objectively measured. Participants completed a Qualtrics survey, which included: 1) Produce Consumption Self-Efficacy (SEPC) subscale, 2) Fruit and Vegetable Consumption subscale, and 3) questions regarding usual meal location/meal preparer. Descriptive, Mann-Whitney U and chi-square analyses were conducted. Results Ninety-two students (64.8% female, age = 19.6 ± 1.7, BMI 31.4 ± 5.8) from 2- and 4-year tertiary institutions completed the survey. Two year students were significantly older (P = .0001), had a higher BMI (P = .01), and scored higher on: self-reported consumption of at least 5 servings of fruit per day (P = .01), self-efficacy for eating fruits and vegetables as a snack, even if everybody else were eating other snacks (P = .02), and eating 9 half cups of fruits and vegetables each day (P = .0002). A greater percentage of 4-year students reported eating most of their meals “in an on-campus dining hall” (53 vs. 28%; P = .04); while more 2-year students reported “my place of residence” (41 vs. 35%) or “on-the-go, which I previously prepared at home” (21 vs. 4%). Usual meal preparer differed between student populations (P < .001); 4-year students were more likely to identify “the college/university I attend” (69 vs. 13%) while a greater percentage of 2-year students indicated “my parental figures” (38 vs. 4%) or “myself” (33 vs. 19%). Conclusions Community college students tended to have a higher BMI, despite reporting higher fruit/vegetable consumption self-efficacy and being more likely to eat meals, prepared by themselves or their parental figures, at home or on-the go. Differences in eating behaviors, beliefs and meal conditions should be taken into account when designing weight loss interventions for these understudied, high-risk populations. Funding Sources NYU College of Arts and Science Dean's Undergraduate Research Fund Grant (Spring 2018).


2007 ◽  
Vol 21 (1) ◽  
pp. 44-54 ◽  
Author(s):  
Daniel Cervone ◽  
Heather Orom ◽  
Daniele Artistico ◽  
William G. Shadel ◽  
Jon D. Kassel
Keyword(s):  

2002 ◽  
Vol 08 (06) ◽  
pp. 732-748
Author(s):  
K. Z. Awad

The relationship of AIDS knowledge and self-efficacy to high-risk sexual practices among Lebanese males in NewYork was examined. Self-administered questionnaires were completed by a convenience sample. Relationships between AIDS-knowledge and self-efficacy and high-risk sexual practices for the 25 homosexual men were rarely significant, probably because of the small sample. The 261 heterosexual participants had statistically significant relationships between AIDS-knowledge and 9 high-risk sexual practices and between self-efficacy and 18 high-risk sexual practices. For heterosexuals, and to a lesser degree for homosexuals, high-risk sexual practices increased as drug-related behaviours and sex with prostitutes increased.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2473-2473
Author(s):  
Lindsay M. Bollinger ◽  
Melissa M. Rhodes ◽  
Kidan G. Nire ◽  
Deena J. Chisolm ◽  
Sarah H. O'Brien

Abstract Abstract 2473 Poster Board II-450 Introduction: Children with HbSS or HbSβothalassemia have an 11% risk of stroke before the age of 20 without intervention. Transcranial Doppler ultrasonography (TCD) has been instrumental in detecting children with sickle cell disease (SCD) at high risk of stroke. Yearly TCD screenings are recommended for children with HbSS or HbSβothalassemia between the ages of 2 and 16 years. However, annual TCD compliance rates are very low. Our objective was to complete a qualitative, descriptive analysis of caregiver understanding, opinions, and barriers to their child's annual TCD screenings. Methods: The study consisted of interviewing 28 caregivers of children diagnosed with HbSS or HbSβothalassemia. The interviews were structured around a Health Belief Model (HBM) framework. The HBM describes the interaction of perceived susceptibility, perceived severity, perceived barriers, perceived benefits, cues to action, self-efficacy, demographic factors, and psychosocial factors which together produce the likelihood that an individual will take a recommended health action. The interviews consisted of both open response questions and Likert scale type questions where the caregiver agreed (“5”) or disagreed (“1”) with a statement. Topics covered during the interview included caregiver knowledge of TCD, adherence to screening guidelines, perceived susceptibility of their child to stroke, barriers that may prevent annual TCD screenings, perceived benefits to screening, and self-efficacy. The interviews were audio recorded and were later transcribed and coded. Common themes were extracted from the transcriptions. Results: 61% of the interviewed caregivers reported that their child underwent a TCD in the past year. Many caregivers perceived their child as being at high risk for stroke, as over 60% thought that stroke occurred either “sometimes” or “frequently” in children with SCD. All of the interviewed caregivers saw benefits to TCD screening. We identified seven categories of barriers expressed by caregivers: lack of knowledge, lack of self-efficacy, fear, financial barriers, transportation barriers, missed appointments, and hours of radiology clinic. Three of the most frequently mentioned barriers included lack of knowledge, lack of self-efficacy, and fear of chronic transfusions. Lack of knowledge was reported to be a barrier by 32% of caregivers who reported having very limited knowledge about TCD testing or that they had forgotten the information previously provided to them. 46% of caregivers did not know that TCD screening was an annual test, and only one of the 28 caregivers knew that chronic transfusions would result if the TCD was consistently abnormal. Additionally, only one caregiver knew the age recommendations for screening. Caregivers also seemed to lack self-efficacy, as 18% of caregivers believed they had no role in stroke prevention and 50% did not realize that they could request that their doctor order an annual TCD test. Many caregivers (29%) believed that chronic transfusions could cause their child a lot of problems. Less frequently cited barriers included financial barriers, transportation barriers, missed appointments, and daytime/weekday hours of radiology clinic. Conclusions: The most commonly encountered barrier to TCD screening described by caregivers was the lack of knowledge of the purpose and recommendations for TCD screenings. We propose that health care providers provide ongoing education at each visit to caregivers regarding stroke risk, TCD screening, and the current recommendations for children with SCD. Some of the barriers identified in this study can easily be addressed to increase TCD compliance rates and decrease stroke incidence rates in children with SCD; for example, offering night and weekend radiology hours or identifying transportation issues prior to a TCD appointment and providing transportation when needed. Educating caregivers on the risks and benefits of chronic transfusions in stroke prevention could also prove beneficial in reducing caregiver fear of chronic transfusions. Strengthening the therapeutic alliance between the caregiver, child, and health care team is essential in order to increase caregiver compliance and self-efficacy with TCD screenings and decrease stroke incidence in children with SCD. Disclosures: No relevant conflicts of interest to declare.


Author(s):  
Daphna Oyserman

American students aspireto getgood grades and succeed in college (Rosenbaum, Deil-Amen, & Person 2006; Trusty, 2000). This is true across the socioeconomic spectrum (for a review, see Oyserman, 2013). American parents share these goals. They have high educational aspirations and expectations for their children even if their own educational and economic attainments are low (Entwisle et al., 2005; Kim, Sherraden, & Clancy, 2012; Madeira, 2009). Parental. In this paper I do not distinguish between aspirations and expectations. This is in contrast to other researchers who find it useful to make that distinction, with an aspiration involving hopes and dreams (e.g., “if you could be anything at all, what would you most hope and want to be?”) and an expectation involving subjective estimation of what is actually possible (e.g., “if you had to bet money on it, what will you be?”). Logically, the two are different. Hopes will be higher than expectations, since expectations imply that one could really do it and hopes imply only that one would want it to transpire. Researchers also assume that expectations are more likely to be linked to behavior than hopes, in part because expectations involve predictions of one’s own competence. An expectation is something one believes one has the skills and competence to attain; in that sense it is akin to how the term efficacy, or self-efficacy, is used. In education, expectancy-value theories (e.g., Wigfield & Eccles, 2000) predict that people will take action to attain valued school outcomes if they expect that they have the skills to attain these outcomes. Because aspirations are not defined as being linked to skills, within a value-expectancy framework, they are less central. Although all of these arguments are compelling, as I outline next, the parents and children who respond to surveys and are of interest to us here do not seem to be following this logic. The way that data on aspirations and expectations are collected in survey research is typically to ask children and their parents, first, how far they would ideally like to go in school and, second, how far they realistically expect to go in school.


2020 ◽  
Vol 30 (Supplement_2) ◽  
Author(s):  
A C Martins ◽  
D Francisco ◽  
D Guia

Abstract Introduction Falls remain a major public health issue. The ageing process is characterized by a progressive decrease in muscle strength, reaction time, postural control and changes in sensory systems. Wearable sensor-based biofeedback systems used in physiotherapy, particularly incorporated in exercise programs, are promising strategies to enhance the learning of strength and balance exercises and improve self-efficacy. Objectives To evaluate the effect of the wearable sensor-based Otago Exercise Program (OTAGO) biofeedback in older adults with moderate to high risk. Methodology Sixty participants (84.35 years) were distributed to the experimental group (26) and a control group (34). The EG underwent the OTAGO incorporated in a technological system using pressure and inertial sensors and biofeedback in real-time, administered by a physiotherapist for 5 weeks, with a frequency of 2 times a week. The CG kept doing their regular activities. Outcome measures included handgrip strength (HG), Time Up and Go (TUG), 30 seconds Sit to Stand, 10 meters Walking Speed (10m WS), 4 Stage Balance Test “Modified”, Step test and Questionnaire of Self-efficacy for exercise. Results At baseline, significant differences were observed regarding the 10m WS (p &lt; 0.001), TUG (p = 0.036) and HG (p = 0.001). Relatively to 4SBTM, in post-intervention was seen significant difference (p = 0.008) and in EG there was also substantial results (p &lt; 0.001). The same happens in SEE (p = 0.013 and p = 0.020, respectively). A significant increase was found in EG so that the post-intervention 10m WS was statistically higher compared with the CG (EG: 0.42±0.29; CG: 1.10±0.51; p = 0.003). In the CG worst results were observed in some of the functional tests. Conclusion Biofeedback in real-time facilitates the self-learning of the exercise program, and it is a useful tool for training strength, balance and self-efficacy for exercise, contributing to reducing the risk of falls.


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