| Title |
Developing Prediction Equations and a Mobile Phone Application to Identify Infants at Risk of Obesity
|
|---|---|
| Published in |
PLOS ONE, August 2013
|
| DOI | 10.1371/journal.pone.0071183 |
| Pubmed ID | |
| Authors |
Gillian Santorelli, Emily S. Petherick, John Wright, Brad Wilson, Haider Samiei, Noël Cameron, William Johnson |
| Abstract |
Advancements in knowledge of obesity aetiology and mobile phone technology have created the opportunity to develop an electronic tool to predict an infant's risk of childhood obesity. The study aims were to develop and validate equations for the prediction of childhood obesity and integrate them into a mobile phone application (App). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 18% |
| Student > Master | 17 | 15% |
| Student > Ph. D. Student | 13 | 11% |
| Researcher | 10 | 9% |
| Lecturer | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 30 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 21% |
| Nursing and Health Professions | 13 | 11% |
| Psychology | 10 | 9% |
| Computer Science | 8 | 7% |
| Agricultural and Biological Sciences | 6 | 5% |
| Other | 20 | 17% |
| Unknown | 34 | 30% |