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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Associations between residence at birth and mental health disorders: a spatial analysis of retrospective cohort data
|
|---|---|
| Published in |
BMC Public Health, July 2015
|
| DOI | 10.1186/s12889-015-2011-z |
| Pubmed ID | |
| Authors |
Kate Hoffman, Ann Aschengrau, Thomas F. Webster, Scott M. Bartell, Verónica M. Vieira |
| Abstract |
Mental health disorders impact approximately one in four US adults. While their causes are likely multifactorial, prior research has linked the risk of certain mental health disorders to prenatal and early childhood environmental exposures, motivating a spatial analysis to determine whether risk varies by birth location. We investigated the spatial associations between residence at birth and odds of depression, bipolar disorder, and post-traumatic stress disorder (PTSD) in a retrospective cohort (Cape Cod, Massachusetts, 1969-1983) using generalized additive models to simultaneously smooth location and adjust for confounders. Birth location served as a surrogate for prenatal exposure to the combination of social and environmental factors related to the development of mental illness. We predicted crude and adjusted odds ratios (aOR) for each outcome across the study area. The results were mapped to identify areas of increased risk. We observed spatial variation in the crude odds ratios of depression that was still present even after accounting for spatial confounding due to geographic differences in the distribution of known risk factors (aOR range: 0.61-3.07, P = 0.03). Similar geographic patterns were seen for the crude odds of PTSD; however, these patterns were no longer present in the adjusted analysis (aOR range: 0.49-1.36, P = 0.79), with family history of mental illness most notably influencing the geographic patterns. Analyses of the odds of bipolar disorder did not show any meaningful spatial variation (aOR range: 0.58-1.17, P = 0.82). Spatial associations exist between residence at birth and odds of PTSD and depression, but much of this variation can be explained by the geographic distributions of available risk factors. However, these risk factors did not account for all the variation observed with depression, suggesting that other social and environmental factors within our study area need further investigation. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| Canada | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 82 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 17% |
| Student > Ph. D. Student | 11 | 13% |
| Researcher | 8 | 10% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 7 | 8% |
| Other | 13 | 16% |
| Unknown | 23 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 17% |
| Nursing and Health Professions | 11 | 13% |
| Psychology | 10 | 12% |
| Neuroscience | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 25 | 30% |
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 19 January 2016.
All research outputs
#6,898,570
of 22,817,213 outputs
Outputs from BMC Public Health
#7,268
of 14,865 outputs
Outputs of similar age
#80,531
of 264,073 outputs
Outputs of similar age from BMC Public Health
#134
of 273 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 14,865 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,073 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.