| Title |
Factors Associated With Temporal and Spatial Patterns in Suicide Rates Across U.S. States, 1976–2000
|
|---|---|
| Published in |
Demography, November 2012
|
| DOI | 10.1007/s13524-012-0176-y |
| Pubmed ID | |
| Authors |
Julie A. Phillips |
| Abstract |
Using pooled cross-sectional time-series data for the 50 U.S. states over a 25-year period, this article examines how well four conceptual groups of social correlates-demographic, economic, social, and cultural factors-are associated with the 1976-2000 patterns in overall suicide rates and suicide by firearms and other means. Unlike past research that typically considers only one dimension, this analysis differentiates between spatial and temporal variation in suicide rates to determine whether and how social correlates operate differently in these two contexts. Results indicate that suicide rates correspond closely to social correlates. Within U.S. states, lower overall suicide rates between 1976 and 2000 were associated with demographic change (e.g., larger numbers of foreign-born) as well as with fewer numbers of Episcopalians. Across U.S. states, variation in overall suicide rates over the period was related to demographic (percentage male), economic (per capita income), social (percentage divorced), and cultural (alcohol consumption and gun ownership) factors. However, findings differ importantly by type of suicide, and across time and space. Reasons for these distinct patterns are discussed. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| Brazil | 2 | 20% |
| Germany | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
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 % |
|---|---|---|
| United States | 2 | 3% |
| Spain | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 63 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 19% |
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 10 | 15% |
| Other | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 14 | 21% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 22 | 33% |
| Medicine and Dentistry | 14 | 21% |
| Psychology | 5 | 7% |
| Economics, Econometrics and Finance | 3 | 4% |
| Business, Management and Accounting | 1 | 1% |
| Other | 8 | 12% |
| Unknown | 14 | 21% |
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 22 May 2013.
All research outputs
#4,940,028
of 24,287,598 outputs
Outputs from Demography
#999
of 1,990 outputs
Outputs of similar age
#49,553
of 284,950 outputs
Outputs of similar age from Demography
#16
of 24 outputs
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