Rebeccah L Sokol
Biographic Data
| ID | 1905501 |
|---|---|
| NAME | Rebeccah L Sokol |
| GIVEN NAMES | Rebeccah L |
| FAMILY NAME | Sokol |
| SIGNATURE | SOKOL R L |
| AFFILIATIONS | University of Michigan |
| ORCID | 0000-0003-3892-2337 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 14 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
A school-based material needs intervention for chronic absenteeism: A state-wide staggered interrupted time series analysis
BACKGROUND: Chronically absent students miss learning opportunities at school, and as a result, may suffer academically and socially. Student absenteeism is rising across the USA, with 14%-30% of K-12 students being chronically absent (missing ≥10% of school days) each year. In 2012, Michigan started Pathways to Potential (P2P)-placing caseworkers in public schools to address the material needs of students that interfere with attendance. In this …
The US media should rethink coverage of firearm violence
Adolescent Firearm Suicides in the United States: Exploring Racial and Ethnic Differences, 2004 to 2020
Firearm suicides among adolescents have increased in the US and rates vary across racial and ethnic groups. In this study, we examined contextual information around adolescent firearm suicides and analyzed how incident characteristics vary across racial and ethnic groups. We analyzed firearm suicides among adolescents (ages 10-18 years) from 2004 to 2020 using data from the National Fatality Review-Case Reporting System (NFR-CRS). There were 4,15…
Recommendations for Social Work Researchers and Journal Editors on the Use of Generative AI and Large Language Models
Generative artificial intelligence (AI) and large language models (LLMs) are poised to significantly impact social work research. These technologies can produce high-quality written materials and support qualitative and quantitative data analysis with simple, plain-language prompts from users. However, they also introduce challenges, such as potential bias, data privacy concerns, and generation of misinformation. In this paper, we use a disruptiv…
Students’ and Caregivers’ Attitudes and Preferences Toward Screening for Social Risk Factors in a Predominantly Latinx High School
From zero to thrive: A model of cross‐system and cross‐sector relational health to promote early childhood development across the child‐serving ecosystem
Early relational health between caregivers and children is foundational for child health and well‐being. Children and caregivers are also embedded within multiple systems and sectors, or a “child‐serving ecosystem”, that shapes child development. Although the COVID‐19 pandemic has made this embeddedness abundantly clear, systems remain siloed and lack coordination. Fostering relational health amongst layers of this ecosystem may be a way to syste…
Is late bedtime an overlooked sleep behaviour? Investigating associations between sleep timing, sleep duration and eating behaviours in adolescence and adulthood
Objective: To examine whether bedtime is associated with usual sleep duration and eating behaviour among adolescents, emerging adults and young adults. Design: Cross-sectional multivariable regression models, stratified by developmental stage, to examine: (1) association between bedtime and sleep duration and (2) associations between bedtime and specific eating behaviours at each developmental period, controlling for sleep duration. All models ad…
Changes in Child and Adolescent Needs and Strengths (Cans) scores over time: A systematic review
Automated Identification of Domestic Violence in Written Child Welfare Records: Leveraging Text Mining and Machine Learning to Enhance Social Work Research and Evaluation
Objective: Child welfare agencies often lack information about the front-end service needs of the families they serve. Thus, the current study tests the feasibility of text mining and machine learning procedures for identifying problems related to domestic violence documented in child welfare investigation summaries. Method: We labeled child welfare investigation summaries (N = 1,402) for the presence or absence of an active domestic violence ser…
Transitions into and out of post-traumatic stress among children involved in the child welfare system
Child maltreatment and body mass index over time: The roles of social support and stress responses
Relationship between child maltreatment and adolescent body mass index trajectories
Measures of the food environment: A systematic review of the field, 2007–2015
Relationship between child maltreatment and adolescent body mass index trajectories
Recommendations for Social Work Researchers and Journal Editors on the Use of Generative AI and Large Language Models
Generative artificial intelligence (AI) and large language models (LLMs) are poised to significantly impact social work research. These technologies can produce high-quality written materials and support qualitative and quantitative data analysis with simple, plain-language prompts from users. However, they also introduce challenges, such as potential bias, data privacy concerns, and generation of misinformation. In this paper, we use a disruptiv…
From zero to thrive: A model of cross‐system and cross‐sector relational health to promote early childhood development across the child‐serving ecosystem
Early relational health between caregivers and children is foundational for child health and well‐being. Children and caregivers are also embedded within multiple systems and sectors, or a “child‐serving ecosystem”, that shapes child development. Although the COVID‐19 pandemic has made this embeddedness abundantly clear, systems remain siloed and lack coordination. Fostering relational health amongst layers of this ecosystem may be a way to syste…
Automated Identification of Domestic Violence in Written Child Welfare Records: Leveraging Text Mining and Machine Learning to Enhance Social Work Research and Evaluation
Objective: Child welfare agencies often lack information about the front-end service needs of the families they serve. Thus, the current study tests the feasibility of text mining and machine learning procedures for identifying problems related to domestic violence documented in child welfare investigation summaries. Method: We labeled child welfare investigation summaries (N = 1,402) for the presence or absence of an active domestic violence ser…
A school-based material needs intervention for chronic absenteeism: A state-wide staggered interrupted time series analysis
BACKGROUND: Chronically absent students miss learning opportunities at school, and as a result, may suffer academically and socially. Student absenteeism is rising across the USA, with 14%-30% of K-12 students being chronically absent (missing ≥10% of school days) each year. In 2012, Michigan started Pathways to Potential (P2P)-placing caseworkers in public schools to address the material needs of students that interfere with attendance. In this …
Adolescent Firearm Suicides in the United States: Exploring Racial and Ethnic Differences, 2004 to 2020
Firearm suicides among adolescents have increased in the US and rates vary across racial and ethnic groups. In this study, we examined contextual information around adolescent firearm suicides and analyzed how incident characteristics vary across racial and ethnic groups. We analyzed firearm suicides among adolescents (ages 10-18 years) from 2004 to 2020 using data from the National Fatality Review-Case Reporting System (NFR-CRS). There were 4,15…
Measures of the food environment: A systematic review of the field, 2007–2015
Relationship between child maltreatment and adolescent body mass index trajectories
Child maltreatment and body mass index over time: The roles of social support and stress responses
Changes in Child and Adolescent Needs and Strengths (Cans) scores over time: A systematic review
Automated Identification of Domestic Violence in Written Child Welfare Records: Leveraging Text Mining and Machine Learning to Enhance Social Work Research and Evaluation
Objective: Child welfare agencies often lack information about the front-end service needs of the families they serve. Thus, the current study tests the feasibility of text mining and machine learning procedures for identifying problems related to domestic violence documented in child welfare investigation summaries. Method: We labeled child welfare investigation summaries (N = 1,402) for the presence or absence of an active domestic violence ser…
Transitions into and out of post-traumatic stress among children involved in the child welfare system
Is late bedtime an overlooked sleep behaviour? Investigating associations between sleep timing, sleep duration and eating behaviours in adolescence and adulthood
Objective: To examine whether bedtime is associated with usual sleep duration and eating behaviour among adolescents, emerging adults and young adults. Design: Cross-sectional multivariable regression models, stratified by developmental stage, to examine: (1) association between bedtime and sleep duration and (2) associations between bedtime and specific eating behaviours at each developmental period, controlling for sleep duration. All models ad…
From zero to thrive: A model of cross‐system and cross‐sector relational health to promote early childhood development across the child‐serving ecosystem
Early relational health between caregivers and children is foundational for child health and well‐being. Children and caregivers are also embedded within multiple systems and sectors, or a “child‐serving ecosystem”, that shapes child development. Although the COVID‐19 pandemic has made this embeddedness abundantly clear, systems remain siloed and lack coordination. Fostering relational health amongst layers of this ecosystem may be a way to syste…
Recommendations for Social Work Researchers and Journal Editors on the Use of Generative AI and Large Language Models
Generative artificial intelligence (AI) and large language models (LLMs) are poised to significantly impact social work research. These technologies can produce high-quality written materials and support qualitative and quantitative data analysis with simple, plain-language prompts from users. However, they also introduce challenges, such as potential bias, data privacy concerns, and generation of misinformation. In this paper, we use a disruptiv…
Students’ and Caregivers’ Attitudes and Preferences Toward Screening for Social Risk Factors in a Predominantly Latinx High School
Adolescent Firearm Suicides in the United States: Exploring Racial and Ethnic Differences, 2004 to 2020
Firearm suicides among adolescents have increased in the US and rates vary across racial and ethnic groups. In this study, we examined contextual information around adolescent firearm suicides and analyzed how incident characteristics vary across racial and ethnic groups. We analyzed firearm suicides among adolescents (ages 10-18 years) from 2004 to 2020 using data from the National Fatality Review-Case Reporting System (NFR-CRS). There were 4,15…
The US media should rethink coverage of firearm violence
A school-based material needs intervention for chronic absenteeism: A state-wide staggered interrupted time series analysis
BACKGROUND: Chronically absent students miss learning opportunities at school, and as a result, may suffer academically and socially. Student absenteeism is rising across the USA, with 14%-30% of K-12 students being chronically absent (missing ≥10% of school days) each year. In 2012, Michigan started Pathways to Potential (P2P)-placing caseworkers in public schools to address the material needs of students that interfere with attendance. In this …
Medicine (8 works) · Psychology (8 works) · Political science (5 works) · Child Abuse and Trauma (4 works) · Developmental psychology (4 works) · Poison control (4 works) · Sociology (4 works) · Computer Science (3 works) · Criminology (3 works) · Demography (3 works)