Predictors of late adolescent delinquency: The protective role of after-school activities in low-income families

2011 ◽  
Vol 33 (7) ◽  
pp. 1309-1317 ◽  
Author(s):  
Duhita Mahatmya ◽  
Brenda Lohman
2020 ◽  
Vol 26 (4) ◽  
pp. 445-453
Author(s):  
Jiyoung Park ◽  
Chongwon Park ◽  
Sanghee Kim ◽  
Gill A. Ten Hoor ◽  
Gahui Hwang ◽  
...  

Purpose: Community child centers (CCCs) were introduced to provide after-school activities and care, including meal services to children from low-income families. The assistant cooks, who have the main responsibility for making and serving food at CCCs, are a major factor influencing the eating habits of children using CCCs. In this study, we tried to identify and understand who the assistant cooks are, what their job responsibilities are, and what they need in order to be able to provide children with healthy meals.Methods: Three focus group interviews were held with 17 workfare program participants who worked as assistant cooks at CCCs, and content analysis methods were applied using the NVivo 12 qualitative data analysis software.Results: The assistant cooks reflected on their perceptions of the children's health at the CCCs, their own cooking style, and their role at the CCCs. Additionally, barriers to the optimal provision of their services were pointed out, and improvements were suggested.Conclusion: The results of this study can be used as a fundamental resource for the development of tailored interventions that consider a child's unique environment to address health disparities, specifically with respect to childhood obesity.


2016 ◽  
Vol 32 (2) ◽  
pp. 127-154 ◽  
Author(s):  
Chara D. Price ◽  
Sandra D. Simpkins ◽  
Cecilia Menjívar

Families are theorized to influence adolescents’ participation in skill-based after-school activities, but research has focused on the role of parents while neglecting the role of siblings. Siblings might be especially critical for Mexican-origin youth, the fastest growing youth population in the United States, due to a high value of family as well as having a larger number of and spending more time with siblings compared with other groups. This mixed-method study of 34 Mexican-origin seventh-grade adolescents provides preliminary evidence for how siblings might influence adolescents’ skill-based organized and informal after-school activities. Qualitative findings suggest that siblings influenced adolescents’ activities through eight unique behaviors (i.e., support, provider of information, role modeling, comparison, negativity, babysitting, transportation, and activity co-participation). Follow-up quantitative analysis suggested some sibling behaviors were more likely to be mentioned based on sibling characteristics, individual characteristics, and neighborhoods. The study highlights new theory, emerging future directions, and ways to promote positive after-school activities via siblings.


2006 ◽  
Vol 1 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Christina Theokas ◽  
Jacqueline V. Lerner ◽  
Erin Phelps ◽  
Richard M. Lerner

This paper describes the configuration and changes in young adolescents’ participation in structured after school activities. Using data from the 4-H Study of Positive Youth Development the 983 youth studied in both the first and the second waves of this research (fifth and sixth grade, respectively) were found to engage in structured after school activities at high levels. Fewer than 12% did not participate in any activities. Participation in multiple activities was the norm for these youth and the configuration of activities changed between grades. The breadth of participation in structured after school activities suggests, first, that it would be ideal to have broad community collaboration in regard to youth programming to ensure that youth receive excellent programming, no matter where they turn; and, second, that youth development researchers and practitioners need to consider new approaches to conceptualizing and evaluating the possible role of any one after-school program in promoting exemplary development.


2021 ◽  
Author(s):  
Jayanne Mayara Magalhães Melo ◽  
Bruna Larine Lemos Fontes Silva Dourado ◽  
Risia Cristina Egito Menezes ◽  
Giovana Longo‐Silva ◽  
Jonas Augusto Cardoso Silveira

2021 ◽  
pp. 001312452110045
Author(s):  
Susan K. Klumpner ◽  
Michael E. Woolley

After school programs provide low income students and students of color with learning opportunities across both academic and non-academic domains that such students would otherwise not get. In this study, we examined the intersection of school characteristics (e.g., enrollment size, percent minority enrolled, and percent eligible for FARM) and the types of after school programming schools offered (e.g., fee-based, 21st CCLC, and other types) using binary logistic regression models. I n a sample of schools ( n = 1,601) surveyed by the National Center on Education Statistics 2008 FRSS, we found that under-resourced schools had lower odds of having a 21st CCLC program and higher odds of having a fee-based after school program (than schools with a lower percentage of students receiving FARM). That is counter to the stated goals of the 21st CCLC program. These findings highlight the need for a re-prioritization of 21st CCLC funding such that financial assistance provided to schools to support after school programs is allocated to schools serving students from low income families and communities.


2021 ◽  
pp. 140349482110158
Author(s):  
Marte Kjøllesdal ◽  
Katrine Skyrud ◽  
Abdi Gele ◽  
Trude Arnesen ◽  
Hilde Kløvstad ◽  
...  

Aim: Immigrants in Norway have higher COVID-19 notification and hospitalisation rates than Norwegian-born individuals. The knowledge about the role of socioeconomic factors to explain these differences is limited. We investigate the relationship between socioeconomic indicators at group level and epidemiological data for all notified cases of COVID-19 and related hospitalisations among the 23 largest immigrant groups in Norway. Methods: We used data on all notified COVID-19 cases in Norway up to 15 November 2020, and associated hospitalisations, from the Norwegian Surveillance System for Communicable Diseases and the emergency preparedness register at the Norwegian Institute of Public Health. We report notified COVID-19 cases and associated hospitalisation rates per 100,000 and their correlation to income, education, unemployment, crowded housing and years of residency at the group level. Results: Crowded housing and low income at a group level were correlated with rates of both notified cases of COVID-19 (Pearson`s correlation coefficient 0.77 and 0.52) and related hospitalisations (0.72, 0.50). In addition, low educational level and unemployment were correlated with a high number of notified cases. Conclusions: Immigrant groups living in disadvantaged socioeconomic positions are important to target with preventive measures for COVID-19. This must include targeted interventions for low-income families living in overcrowded households.


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