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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Socio-economic factors linked with mental health during the recession: a multilevel analysis
|
|---|---|
| Published in |
International Journal for Equity in Health, March 2017
|
| DOI | 10.1186/s12939-017-0518-x |
| Pubmed ID | |
| Authors |
Isabel Ruiz-Pérez, Clara Bermúdez-Tamayo, Miguel Rodríguez-Barranco |
| Abstract |
Periods of financial crisis are associated with higher psychological stress among the population and greater use of mental health services. The objective is to analyse contextual factors associated with mental health among the Spanish population during the recession. Cross-sectional, descriptive study of two periods: before the recession (2006) and after therecession (2011-2012). The study population comprised individuals aged 16+ years old, polled for the National Health Survey. There were 25,234 subjects (2006) and 20,754 subjects (2012). The dependent variable was psychic morbidity. 1) socio-demographic (age, socio-professional class, level of education, nationality, employment situation, marital status), 2) psycho-social (social support) and 3) financial (GDP per capita, risk of poverty, income per capita per household), public welfare services (health spending per capita), labour market (employment and unemployment rates, percentage of temporary workers). Multilevel logistic regression models with mixed effects were constructed to determine change in psychic morbidity according to the variables studied. The macroeconomic variables associated with worse mental health for both males and females were lower health spending per capita and percentage of temporary workers. Among women, the risk of poor mental health increased 6% for each 100€ decrease in healthcare spending per capita. Among men, the risk of poor mental health decreased 8% for each 5-percentage point increase in temporary workers. Higher rates of precarious employment in a region have a negative effect on people's mental health; likewise lower health spending per capita. Policies during periods of recession should focus on support and improved conditions for vulnerable groups such as temporary workers. Healthcare cutbacks should be avoided in order to prevent increased prevalence of poor mental health. |
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 % |
|---|---|---|
| Spain | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 12% |
| Researcher | 23 | 12% |
| Student > Bachelor | 20 | 10% |
| Student > Ph. D. Student | 18 | 9% |
| Student > Doctoral Student | 14 | 7% |
| Other | 34 | 18% |
| Unknown | 61 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 14% |
| Nursing and Health Professions | 25 | 13% |
| Psychology | 20 | 10% |
| Social Sciences | 18 | 9% |
| Economics, Econometrics and Finance | 9 | 5% |
| Other | 22 | 11% |
| Unknown | 73 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 March 2017.
All research outputs
#12,969,075
of 22,958,253 outputs
Outputs from International Journal for Equity in Health
#1,269
of 1,918 outputs
Outputs of similar age
#151,772
of 311,212 outputs
Outputs of similar age from International Journal for Equity in Health
#21
of 35 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,918 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 311,212 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 50% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.