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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lifestyle-related factors that explain disaster-induced changes in socioeconomic status and poor subjective health: a cross-sectional study from the Fukushima health management survey
|
|---|---|
| Published in |
BMC Public Health, April 2017
|
| DOI | 10.1186/s12889-017-4247-2 |
| Pubmed ID | |
| Authors |
Masato Nagai, Tetsuya Ohira, Wen Zhang, Hironori Nakano, Masaharu Maeda, Seiji Yasumura, Masafumi Abe, Fukushima Health Management Survey |
| Abstract |
Socioeconomic status (SES) and lifestyle-related factors are determinants of subjective health. However, changes in SES are inevitable in times of natural disaster, while lifestyle-related factors remain modifiable. The aim of this study was to use a cross-sectional approach to examine lifestyle-related factors that may attenuate the negative impact of disaster-induced changes in SES on poor subjective health. We analyzed 33,350 men and women aged 20-64 years who were living in evacuation zones due to the radiation accident in Fukushima, Japan. Disaster-induced changes in SES were defined by living arrangements and working conditions. Using Poisson regression analysis adjusted for confounders (model 1) and lifestyle-related factors as intermediate variables (model 2), we compared the prevalence ratios (PRs) of poor subjective health of participants who did not undergo disaster-induced changes in SES (did not become unemployed, income did not decrease, and living in relative's home/own home) with that of participants who did undergo disaster-induced changes in SES (became unemployed, decreased income, or lived in an evacuation shelter, temporary housing, or rental housing/apartment). We calculated the percentage of excess risks explained by lifestyle-related factors as follows: ((PRmodel 1 - PRmodel 2)/(PRmodel 1-1)) × 100. Disaster-induced changes in SES were significantly associated with poor subjective health. The PRs (95% CIs) among participants who underwent disaster-induced changes in SES were 2.02 (1.81-2.24) for men and 1.80 (1.65-1.97) for women. After adjusting for lifestyle-related factors, we found that the PRs in men and women were remarkably attenuated, decreasing to 1.56 (1.40-1.73) and 1.43 (1.31-1.55), respectively. Controlling for lifestyle-related factors resulted in PR attenuation by 45.1% (men) and 46.3% (women). Satisfaction of sleep and participation in recreation and community activity particularly contributed to this attenuation. While disaster-induced changes in SES are unavoidable, lifestyle-related factors have the potential to attenuate the impact of these changes on poor subjective health. |
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 % |
|---|---|---|
| China | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 8 | 13% |
| Student > Ph. D. Student | 7 | 11% |
| Lecturer | 7 | 11% |
| Researcher | 6 | 10% |
| Student > Master | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 16% |
| Medicine and Dentistry | 9 | 14% |
| Social Sciences | 7 | 11% |
| Agricultural and Biological Sciences | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 24 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 April 2017.
All research outputs
#17,887,790
of 22,965,074 outputs
Outputs from BMC Public Health
#12,531
of 14,960 outputs
Outputs of similar age
#220,960
of 310,204 outputs
Outputs of similar age from BMC Public Health
#198
of 223 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 13th percentile – i.e., 13% 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 310,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.