| Title |
Can housing improvements cure or prevent the onset of health conditions over time in deprived areas?
|
|---|---|
| Published in |
BMC Public Health, November 2015
|
| DOI | 10.1186/s12889-015-2524-5 |
| Pubmed ID | |
| Authors |
Angela Curl, Ade Kearns |
| Abstract |
There is a need for more evidence linking particular housing improvements to changes in specific health conditions. Research often looks at generic works over short periods. We use a longitudinal sample (n = 1933) with a survey interval of 2-5 years. Multivariate logistic regression is used to calculate the odds ratios of developing or recovering from six health conditions according to receipt of four types of housing improvements. Receipt of fabric works was associated with higher likelihood of recovery from mental health problems and circulatory conditions. Receipt of central heating was also associated with higher likelihood of recovery form circulatory conditions. No evidence was found for the preventative effects of housing improvements. Health gain from housing improvements appears most likely when targeted at those in greatest health need. The health impacts of area-wide, non-targeted housing improvements are less clear in our study. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 75% |
| New Zealand | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| Spain | 1 | 1% |
| Unknown | 80 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 24% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 20 | 24% |
| Unknown | 14 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 17 | 20% |
| Medicine and Dentistry | 16 | 19% |
| Nursing and Health Professions | 9 | 11% |
| Psychology | 4 | 5% |
| Engineering | 4 | 5% |
| Other | 17 | 20% |
| Unknown | 17 | 20% |
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 03 December 2015.
All research outputs
#8,030,706
of 24,397,600 outputs
Outputs from BMC Public Health
#8,469
of 16,120 outputs
Outputs of similar age
#122,904
of 397,121 outputs
Outputs of similar age from BMC Public Health
#122
of 222 outputs
Altmetric has tracked 24,397,600 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 16,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.