| Title |
Income inequality among American states and the incidence of major depression
|
|---|---|
| Published in |
Journal of Epidemiology & Community Health, September 2013
|
| DOI | 10.1136/jech-2013-203093 |
| Pubmed ID | |
| Authors |
Roman Pabayo, Ichiro Kawachi, Stephen E Gilman |
| Abstract |
Although cross-sectional and ecological studies have shown that higher area-level income inequality is related to increased risk for depression, few longitudinal studies have been conducted. This investigation examines the relationship between state-level income inequality and major depression among adults participating in a population-based, representative longitudinal study. |
X Demographics
The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 11 | 29% |
| United States | 6 | 16% |
| France | 2 | 5% |
| Canada | 2 | 5% |
| Spain | 1 | 3% |
| Switzerland | 1 | 3% |
| Chile | 1 | 3% |
| New Zealand | 1 | 3% |
| Unknown | 13 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 58% |
| Scientists | 6 | 16% |
| Practitioners (doctors, other healthcare professionals) | 6 | 16% |
| Science communicators (journalists, bloggers, editors) | 4 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 144 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 15% |
| Student > Master | 22 | 15% |
| Researcher | 20 | 14% |
| Student > Postgraduate | 13 | 9% |
| Student > Doctoral Student | 11 | 8% |
| Other | 30 | 21% |
| Unknown | 27 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 22% |
| Social Sciences | 24 | 17% |
| Psychology | 18 | 12% |
| Economics, Econometrics and Finance | 8 | 6% |
| Nursing and Health Professions | 6 | 4% |
| Other | 22 | 15% |
| Unknown | 35 | 24% |