| Title |
Anaemia and depression before and after birth: a cohort study based on linked population data
|
|---|---|
| Published in |
BMC Psychiatry, July 2018
|
| DOI | 10.1186/s12888-018-1796-6 |
| Pubmed ID | |
| Authors |
Fenglian Xu, Lynette Roberts, Colin Binns, Elizabeth Sullivan, Caroline S. E. Homer |
| Abstract |
To investigate the rates of hospitalisation for anaemia and depression in women in the six-year period (3 years before and after birth). To compare hospital admissions for depression in women with and without anaemia. This is a population-based cohort study. Women's birth records (New South Wales (NSW) Perinatal Data Collection) were linked with NSW Admitted Patients Data Collection records between 1 January 2001 and 31 December 2010, so that hospital admissions for mothers could be traced back for 3 years before birth and followed up 3 years after birth. NSW Australia. all women who gave birth to their first child in NSW between 1 January 2004 and 31 December 2008. Hospital admissions for both anaemia and depression were increased significantly in the year just before and after birth compared with the years before and after. Women with anaemia were more likely to be admitted to hospital for depression than those without (for principal diagnosis of depression, adjusted OR = 1.62, 95% CI = 1.25-2.11; for all diagnosis of depression, adjusted OR = 2.01, 95% CI = 1.70-2.38). Depression was associated with anaemia in women before and after birth. This finding highlight the important role of primary care providers in assessing for both anaemia and depressive symptomatology together, given the relationship between the two. Treating or preventing anaemia may help to prevent postnatal depression. |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 11% |
| Student > Master | 10 | 10% |
| Student > Postgraduate | 8 | 8% |
| Researcher | 7 | 7% |
| Student > Ph. D. Student | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 41 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 23% |
| Nursing and Health Professions | 13 | 13% |
| Psychology | 5 | 5% |
| Engineering | 4 | 4% |
| Unspecified | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 42 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 14 July 2018.
All research outputs
#5,715,754
of 23,096,849 outputs
Outputs from BMC Psychiatry
#1,920
of 4,770 outputs
Outputs of similar age
#97,335
of 327,048 outputs
Outputs of similar age from BMC Psychiatry
#77
of 114 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,770 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 57% of its peers.
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We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.