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Mendeley readers
Attention Score in Context
| Title |
The incidence risk of type 2 diabetes mellitus in female nurses: a nationwide matched cohort study
|
|---|---|
| Published in |
BMC Public Health, May 2016
|
| DOI | 10.1186/s12889-016-3113-y |
| Pubmed ID | |
| Authors |
Hsiu-Ling Huang, Cheng-Chin Pan, Shun-Mu Wang, Pei-Tseng Kung, Wen-Yu Chou, Wen-Chen Tsai |
| Abstract |
Diabetes is one of the most common chronic illnesses worldwide. This study was to assess whether the incidence risk of type 2 diabetes mellitus between female nurses and female non-nurses. Study data were obtained from the Longitudinal Health Insurance Research Database, and nurses were sampled from the Registry for medical personnel. Nurses and non-nurses with similar traits and health conditions were selected via 1:1 propensity score matching. A total of 111,670 subjects were selected (55,835 nurses and 55,835 non-nurses). Stages of diabetes development were monitored until December 31, 2009. The Cox proportional hazards model was used to discuss risks and influencing factors related to diabetes. Poisson distribution methods were used to examine the incidence rate of diabetes per 1,000 person-years. The propensity matching results show that on average, female nurses who were diagnosed with diabetes were younger compared with the non-nurses (46.98 ± 10.80 vs. 48.31 ± 10.43, p <0.05). However, the results of the Cox proportional hazards model show that the nurses showed a lower risk of developing diabetes compared with the non-nurses (Adj. HR = 0.84, 95 % CI: 0.79-0.90). Factors influencing diabetes development risks among the nurses include advanced age and high Charlson Comorbidity Index levels. The low degree of diabetes development among the nurses may be attributable to the fact that nurses possess substantial knowledge on health care and on healthy behaviors. The results of this study can be used as a reference to assess occupational risks facing nursing staff, to prevent diabetes development, and to promote health education. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 18% |
| Student > Ph. D. Student | 7 | 10% |
| Lecturer | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Researcher | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 26 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 20 | 28% |
| Medicine and Dentistry | 15 | 21% |
| Psychology | 3 | 4% |
| Computer Science | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 27 | 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 07 September 2016.
All research outputs
#15,383,207
of 22,886,568 outputs
Outputs from BMC Public Health
#11,386
of 14,923 outputs
Outputs of similar age
#210,169
of 337,043 outputs
Outputs of similar age from BMC Public Health
#157
of 184 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,923 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 16th percentile – i.e., 16% 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 337,043 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.