| Title |
Is the relationship between socioeconomic status and health stronger for older children in developing countries?
|
|---|---|
| Published in |
Demography, May 2009
|
| DOI | 10.1353/dem.0.0054 |
| Pubmed ID | |
| Authors |
Lisa Cameron, Jenny Williams |
| Abstract |
Recent research on the relationship between child health and income in developed countries reveals a positive gradient that is more pronounced for older children, suggesting that the impact of income upon health accumulates. This article examines whether the same is true in a developing country. Using data from the Indonesian Family Life Survey on children aged 0 to 14 years, we find that although low income adversely affects health, its impact does not differ by age. This finding is robust to the use of both subjective and objective health measures, controlling for selective mortality, the use of alternative measures of households' resources, and the inclusion of indicators of health at birth and parental health. One explanation for the constancy of the health-income relationship that we explore is the dominant role played by acute illness in determining the general health status of children in a developing-country context compared with the more central role played by chronic conditions in developed countries. |
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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 16% |
| Researcher | 9 | 13% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 8 | 12% |
| Other | 5 | 7% |
| Other | 8 | 12% |
| Unknown | 18 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 18 | 27% |
| Economics, Econometrics and Finance | 11 | 16% |
| Medicine and Dentistry | 7 | 10% |
| Agricultural and Biological Sciences | 3 | 4% |
| Psychology | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 22 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 July 2023.
All research outputs
#4,489,471
of 23,993,601 outputs
Outputs from Demography
#951
of 1,976 outputs
Outputs of similar age
#16,705
of 95,816 outputs
Outputs of similar age from Demography
#7
of 10 outputs
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