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Articles 1 - 6 of 6
Full-Text Articles in Psychology
Circadian Misalignment And Childhood Obesity: An Unexplored Target For Intervention And Treatment, Mason Pilling
Circadian Misalignment And Childhood Obesity: An Unexplored Target For Intervention And Treatment, Mason Pilling
Student Works
Childhood obesity is a pandemic affecting almost 40 million individuals aged 5-18 globally. Many current interventions are relatively successful at treating childhood obesity, yet the rate of childhood obesity continues to increase from year to year, and current intervention methods are struggling to keep up. Mounting evidence suggests that sleep may be a crucial mechanism for understanding and treating obesity, yet sleep still remains a relatively unexplored target for intervention. Circadian misalignment, a measure of the difference between the body’s preferred sleep timing and actual bed and wake times, has been almost completely ignored in the literature, despite preliminary findings …
Sociopolitical Determinants Of Health In The Proposed Rezoning Of Richmond Hill/Ozone Park, Ny, Khemraj J. Persaud
Sociopolitical Determinants Of Health In The Proposed Rezoning Of Richmond Hill/Ozone Park, Ny, Khemraj J. Persaud
Publications and Research
The community of Richmond Hill/Ozone Park, Queens, NY has been split into multiple zones and has needed rezoning for decades. The area consists of a range of people from different ethnic backgrounds, including Indo-Caribbean, South Asian, and Afro-Caribbean. Racial health disparities persist in this district, such as obesity, diabetes, and hypertension. I conducted research about how ongoing political issues in this community has been affecting the overall health of its residents and what is being done about it.
Shifting Weight Attitudes? A Look At Stigma And Implicit Bias, Carolyn H. Decicco, Sarah L. Capen-Becerra, Sophie K. Louis
Shifting Weight Attitudes? A Look At Stigma And Implicit Bias, Carolyn H. Decicco, Sarah L. Capen-Becerra, Sophie K. Louis
Psychology Presentations
The goal of the current study is to investigate students’ perceptions of controllability and biases against individuals who smoke and individuals who present as ‘overweight’ in the workplace. Participants (N = 69) were randomly assigned to read an article describing either weight-based (n = 35) or smoking-based discrimination in the workplace (n = 34). Participants were tasked with writing open-ended responses to the articles. Participants in the smoking group were more likely to endorse (n = 16; 47.1%) discriminatory workplace practices than those in the weight group (n = 4; 11.4%), who showed more conflicted justification responses (weight n = …
Neighborhood Police Encounters, Health, And Violence In A Southern City, Katherine P. Theall, Samantha Francois, Caryn N. Bell, Andrew Anderson, David Chae, Thomas A. Laveist
Neighborhood Police Encounters, Health, And Violence In A Southern City, Katherine P. Theall, Samantha Francois, Caryn N. Bell, Andrew Anderson, David Chae, Thomas A. Laveist
Psychology
The disproportionate rates of police surveillance and encounters in many communities in the US may be contributing to inequities in health and violence. Frequent policing in communities, which may often also be aggressive policing, has been associated with diminished health and well-being. This study adds to the growing body of research on this issue by examining the relationships between neighborhood police stop-and-frisk encounters and both health outcomes and violence rates in New Orleans, Louisiana, in an ecological, cross-sectional study using local police report, Centers for Disease Control and Prevention, and census data. The average rate of police stop-and-frisk encounters was …
A Meta-Analysis Of Associations Between Weight Bias Internalization And Conceptually-Related Correlates: A Step Towards Improving Construct Validity, Kelly A. Romano, Kristin E. Heron, Cassidy M. Sandoval, Lindsay M. Howard, Rachel I. Macintyre
A Meta-Analysis Of Associations Between Weight Bias Internalization And Conceptually-Related Correlates: A Step Towards Improving Construct Validity, Kelly A. Romano, Kristin E. Heron, Cassidy M. Sandoval, Lindsay M. Howard, Rachel I. Macintyre
Psychology Faculty Publications
Weight bias internalization (WBI), a process of weight-based self-devaluation, has been associated with adverse mental and physical health. However, there are limitations with the existing conceptualization and operationalization of WBI that raise questions about the implications of this evidence-base. To address these limitations, the present study investigated the construct validity of WBI by conducting a meta-analysis of associations between WBI (as currently operationalized) and conceptually-related correlates. Studies identified through October 2021 that provided zero-order correlations for associations between WBI and conceptually-related constructs were examined. Meta-regression determined whether these associations differed across WBI measures and demographic (age, sex/gender, race, BMI) and …
Mobile Health App For Adolescents: Motion Sensor Data And Deep Learning Technique To Examine The Relationship Between Obesity And Walking Patterns, Sungchul Lee, Eunmin Hwang, Yanghee Kim, Fatih Demir, Hyunhwa Lee, Joshua J. Mosher, Eunyoung Jang, Kiho Lim
Mobile Health App For Adolescents: Motion Sensor Data And Deep Learning Technique To Examine The Relationship Between Obesity And Walking Patterns, Sungchul Lee, Eunmin Hwang, Yanghee Kim, Fatih Demir, Hyunhwa Lee, Joshua J. Mosher, Eunyoung Jang, Kiho Lim
Nursing Faculty Publications
With the prevalence of obesity in adolescents, and its long-term influence on their overall health, there is a large body of research exploring better ways to reduce the rate of obesity. A traditional way of maintaining an adequate body mass index (BMI), calculated by measuring the weight and height of an individual, is no longer enough, and we are in need of a better health care tool. Therefore, the current research proposes an easier method that offers instant and real-time feedback to the users from the data collected from the motion sensors of a smartphone. The study utilized the mHealth …