| Title |
Are stunted young Indonesian children more likely to be overweight, thin, or have high blood pressure in adolescence?
|
|---|---|
| Published in |
International Journal of Public Health, October 2016
|
| DOI | 10.1007/s00038-016-0905-x |
| Pubmed ID | |
| Authors |
Cut Novianti Rachmi, Kingsley Emwinyore Agho, Mu Li, Louise Alison Baur |
| Abstract |
To determine whether stunted young children are at greater risk of (1) overweight/obesity or thinness, and (2) high blood pressure (HBP) in adolescence. A secondary data analysis using the Indonesian Family Life Survey waves 1 (1993) to 4 (2007). We generated a 14-year follow-up cohort (1993-2007) and two 7-year cohorts (1993-2000 and 2000-2007) of children aged 2.0-4.9 years. Stunting (HAZ < -2), thinness (BMIZ < -2), and overweight/obesity (BMIZ > +1) were determined based upon the WHO Child Growth Standards. HBP (>90th percentile) was interpreted using the 4th Report on the Diagnosis of HBP in Children and Adolescents. 765, 1083, and 1589 children were included in the 14-year cohort, and the two 7-year cohort analyses, respectively. In the 7-year cohorts, early life stunting was inversely associated with overweight/obesity (prevalence ratio 0.32 and 0.38, respectively; P < 0.05), but no significant association was found with the 14-year cohort. There was no significant association between childhood stunting and thinness at adolescence or in the odds/likelihood of having high systolic or diastolic blood pressure. We found no association between early life stunting and overweight/obesity, thinness and HBP in adolescence. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 18% |
| Student > Bachelor | 19 | 14% |
| Researcher | 9 | 7% |
| Student > Doctoral Student | 9 | 7% |
| Lecturer | 7 | 5% |
| Other | 22 | 16% |
| Unknown | 44 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 24% |
| Nursing and Health Professions | 24 | 18% |
| Social Sciences | 11 | 8% |
| Economics, Econometrics and Finance | 8 | 6% |
| Environmental Science | 2 | 1% |
| Other | 8 | 6% |
| Unknown | 49 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 07 November 2017.
All research outputs
#3,331,502
of 25,373,627 outputs
Outputs from International Journal of Public Health
#383
of 1,900 outputs
Outputs of similar age
#53,962
of 327,571 outputs
Outputs of similar age from International Journal of Public Health
#18
of 53 outputs
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