| Title |
Age-Specific Correlates of Child Growth
|
|---|---|
| Published in |
Demography, January 2016
|
| DOI | 10.1007/s13524-015-0449-3 |
| Pubmed ID | |
| Authors |
Matthias Rieger, Sofia Karina Trommlerová |
| Abstract |
Growth faltering describes a widespread phenomenon that height- and weight-for-age of children in developing countries collapse rapidly in the first two years of life. We study age-specific correlates of child nutrition using Demographic and Health Surveys from 56 developing countries to shed light on the potential drivers of growth faltering. Applying nonparametric techniques and exploiting within-mother variation, we find that maternal and household factors predict best the observed shifts and bends in child nutrition age curves. The documented interaction between age and maternal characteristics further underlines the need not only to provide nutritional support during the first years of life but also to improve maternal conditions. |
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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 15% |
| Student > Ph. D. Student | 14 | 14% |
| Student > Doctoral Student | 9 | 9% |
| Researcher | 8 | 8% |
| Student > Bachelor | 8 | 8% |
| Other | 19 | 20% |
| Unknown | 24 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 19% |
| Social Sciences | 15 | 15% |
| Nursing and Health Professions | 15 | 15% |
| Economics, Econometrics and Finance | 12 | 12% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 8 | 8% |
| Unknown | 25 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 September 2020.
All research outputs
#6,967,055
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Outputs from Demography
#1,182
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Outputs of similar age
#112,415
of 393,302 outputs
Outputs of similar age from Demography
#9
of 11 outputs
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