| Title |
Body composition in infants: Evidence for developmental programming and techniques for measurement
|
|---|---|
| Published in |
Reviews in Endocrine and Metabolic Disorders, March 2012
|
| DOI | 10.1007/s11154-012-9213-9 |
| Pubmed ID | |
| Authors |
Jonathan C. K. Wells |
| Abstract |
The consequences of fetal growth retardation remain unclear, in part because they appear to vary between industrialized and developing countries. Data on body composition offer a new opportunity to investigate this issue, and may be of particular value in addressing the controversial role of nutrition in infancy, which has been proposed by some to boost survival, and by others to increase long-term risk of chronic diseases. The uncertainty regarding the effects of post-natal nutrition is presenting challenges to nutritional policy as many countries undergo the nutrition transition, whereby the nutritional status of individuals may shift within the life-course. A theoretical model, building on the thrifty phenotype hypothesis, is presented to clarify how body composition data can address this dilemma. Measurements of body composition can now be obtained in infants and children using several different technologies, indicating that large-scale studies can now be conducted to investigate objectively the association between early growth patterns and later health. |
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 % |
|---|---|---|
| Unknown | 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 92 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 16% |
| Student > Ph. D. Student | 13 | 14% |
| Researcher | 10 | 11% |
| Other | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Other | 26 | 28% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 34% |
| Nursing and Health Professions | 11 | 12% |
| Agricultural and Biological Sciences | 11 | 12% |
| Social Sciences | 5 | 5% |
| Sports and Recreations | 3 | 3% |
| Other | 14 | 15% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2012.
All research outputs
#21,415,544
of 23,911,072 outputs
Outputs from Reviews in Endocrine and Metabolic Disorders
#458
of 505 outputs
Outputs of similar age
#144,726
of 159,511 outputs
Outputs of similar age from Reviews in Endocrine and Metabolic Disorders
#7
of 8 outputs
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