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Full-Text Articles in Medicine and Health Sciences

Transforming Obesity Prevention For Children (Topchild) Collaboration: Protocol For A Systematic Review With Individual Participant Data Meta-Analysis Of Behavioural Interventions For The Prevention Of Early Childhood Obesity, Kylie E. Hunter, Brittany J. Johnson, Lisa Askie, Rebecca K. Golley, Louise A. Baur, Ian C. Marschner, Rachael W. Taylor, Luke Wolfenden, Charles T. Wood, Seema Mihrshahi, Alison J. Hayes, Chris Rissel, Kristy P. Robledo, Denise A. O'Connor, David Espinoza, Lukas P. Staub, Paul Chadwick, Sarah Taki, Angie Barba, Sol Libesman, Ana Maria Linares Jan 2022

Transforming Obesity Prevention For Children (Topchild) Collaboration: Protocol For A Systematic Review With Individual Participant Data Meta-Analysis Of Behavioural Interventions For The Prevention Of Early Childhood Obesity, Kylie E. Hunter, Brittany J. Johnson, Lisa Askie, Rebecca K. Golley, Louise A. Baur, Ian C. Marschner, Rachael W. Taylor, Luke Wolfenden, Charles T. Wood, Seema Mihrshahi, Alison J. Hayes, Chris Rissel, Kristy P. Robledo, Denise A. O'Connor, David Espinoza, Lukas P. Staub, Paul Chadwick, Sarah Taki, Angie Barba, Sol Libesman, Ana Maria Linares

Nursing Faculty Publications

INTRODUCTION: Behavioural interventions in early life appear to show some effect in reducing childhood overweight and obesity. However, uncertainty remains regarding their overall effectiveness, and whether effectiveness differs among key subgroups. These evidence gaps have prompted an increase in very early childhood obesity prevention trials worldwide. Combining the individual participant data (IPD) from these trials will enhance statistical power to determine overall effectiveness and enable examination of individual and trial-level subgroups. We present a protocol for a systematic review with IPD meta-analysis to evaluate the effectiveness of obesity prevention interventions commencing antenatally or in the first year after birth, and …


Unpacking The Behavioural Components And Delivery Features Of Early Childhood Obesity Prevention Interventions In The Topchild Collaboration: A Systematic Review And Intervention Coding Protocol, Brittany J. Johnson, Kylie E. Hunter, Rebecca K. Golley, Paul Chadwick, Angie Barba, Mason Aberoumand, Sol Libesman, Lisa Askie, Rachael W. Taylor, Kristy P. Robledo, Seema Mihrshahi, Denise A. O'Connor, Alison J. Hayes, Luke Wolfenden, Charles T. Wood, Louise A. Baur, Chris Rissel, Lukas P. Staub, Sarah Taki, Wendy Smith, Ana Maria Linares Jan 2022

Unpacking The Behavioural Components And Delivery Features Of Early Childhood Obesity Prevention Interventions In The Topchild Collaboration: A Systematic Review And Intervention Coding Protocol, Brittany J. Johnson, Kylie E. Hunter, Rebecca K. Golley, Paul Chadwick, Angie Barba, Mason Aberoumand, Sol Libesman, Lisa Askie, Rachael W. Taylor, Kristy P. Robledo, Seema Mihrshahi, Denise A. O'Connor, Alison J. Hayes, Luke Wolfenden, Charles T. Wood, Louise A. Baur, Chris Rissel, Lukas P. Staub, Sarah Taki, Wendy Smith, Ana Maria Linares

Nursing Faculty Publications

INTRODUCTION: Little is known about how early (eg, commencing antenatally or in the first 12 months after birth) obesity prevention interventions seek to change behaviour and which components are or are not effective. This study aims to (1) characterise early obesity prevention interventions in terms of target behaviours, delivery features and behaviour change techniques (BCTs), (2) explore similarities and differences in BCTs used to target behaviours and (3) explore effectiveness of intervention components in preventing childhood obesity.

METHODS AND ANALYSIS: Annual comprehensive systematic searches will be performed in Epub Ahead of Print/MEDLINE, Embase, Cochrane (CENTRAL), CINAHL, PsycINFO, as well as …


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 Jan 2022

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 …