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Attention Score in Context
| Title |
Psychosocial job characteristics, wealth, and culture: differential effects on mental health in the UK and Thailand
|
|---|---|
| Published in |
Globalization and Health, July 2015
|
| DOI | 10.1186/s12992-015-0116-x |
| Pubmed ID | |
| Authors |
Vasoontara Yiengprugsawan, Antonio Ivan Lazzarino, Andrew Steptoe, Sam-ang Seubsman, Adrian C Sleigh |
| Abstract |
Most research on the influence of psychosocial job characteristics on health status has been conducted within affluent Western economies. This research addresses the same topic in a middle-income Southeast Asian country, enabling comparison with a Western benchmark. We analysed and compared the Health Survey for England conducted in 2010 and the Thai Cohort Study data at 2005 baseline for workers aged 35-45 years. Multivariate logistic regression was used to assess relationships between psychosocial job characteristics and health, measured as Adjusted Odd Ratios (AOR), controlling for potential covariates in final analyses. In both UK and Thai working adults, psychological distress was associated with job insecurity (AOR 2.58 and 2.32, respectively), inadequate coping with job demands (AOR 2.57 and 2.42), and low support by employers (AOR 1.93 and 1.84). Job autonomy was associated with psychological distress in the UK samples (AOR 2.61) but no relationship was found among Thais after adjusting for covariates (AOR 0.99). Low job security, inability to cope with job demands, and low employer support were associated with psychological distress both among Thai and UK workers. Job autonomy was an important part of a healthy work environment in Western cultures, but not in Thailand. This finding could reflect cultural differences with Thais less troubled by individualistic expression at work. Our study also highlights the implications for relevant workplace laws and regulations to minimise the adverse job effects. These public health strategies would promote mental health and wellbeing in the population. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 1% |
| Unknown | 69 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Student > Ph. D. Student | 5 | 7% |
| Other | 16 | 23% |
| Unknown | 24 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 17% |
| Medicine and Dentistry | 9 | 13% |
| Nursing and Health Professions | 7 | 10% |
| Social Sciences | 6 | 9% |
| Engineering | 4 | 6% |
| Other | 8 | 11% |
| Unknown | 24 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 October 2015.
All research outputs
#14,818,555
of 22,817,213 outputs
Outputs from Globalization and Health
#960
of 1,105 outputs
Outputs of similar age
#144,365
of 262,350 outputs
Outputs of similar age from Globalization and Health
#14
of 17 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,105 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one is in the 11th percentile – i.e., 11% 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 262,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.