You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of oral health on health-related quality of life: a cross-sectional study
|
|---|---|
| Published in |
BMC Oral Health, May 2016
|
| DOI | 10.1186/s12903-016-0211-2 |
| Pubmed ID | |
| Authors |
Miriane Lucindo Zucoloto, João Maroco, Juliana Alvares Duarte Bonini Campos |
| Abstract |
Despite the consensus regarding the existence of a relationship between "impacts on oral health" and "health-related quality of life", this relationship, considering the latent nature of these variables, is still poorly investigated. Thus, we performed this study in order to determine the magnitude of the impacts of oral health, demographic and symptom/clinical variables on the health-related quality of life in a Brazilian sample of dental patients. A total of 1,007 adult subjects enrolled in the School of Dentistry of São Paulo State University (UNESP) - Araraquara Campus for dentistry care between September/2012 and April/2013, participated. 72.4 % were female. The mean age was 45.7 (SD = 12.5) years. The Oral Health Impact Profile (OHIP-14) and the Short Form Health Survey (SF-36) were used. The demographic and symptom/clinical variables collected were gender, age, economic status, presence of pain and chronic disease. The impact of studied variables on health-related quality of life were evaluated with a structural equation model, considering the factor "Health" as the central construct. The fit of the model was first analyzed by the evaluation of the goodness of fit indices (χ(2)/df ≤ 2.0, CFI and TLI ≥ 0.90 and RMSEA < 0.10) and the evaluation of the variables' impact over health-related quality of life was based on the statistical significance of causal paths (β), evaluated by z tests, for a significance level of 5 %. We observed adequate fit of the model to the data (χ(2)/df = 3.55; CFI = 0.95; TLI = 0.94; RMSEA = 0.05). The impacts on oral health explained 28.0 % of the variability of the health-related quality of life construct, while the total variance explained of the model was 39.0 %. For the demographic and symptom/clinical variables, only age, presence of pain and chronic disease showed significant impacts (p < 0.05). The oral health, age, presence of pain and chronic disease of individuals had significant influence on health-related quality of life. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 207 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 16% |
| Student > Bachelor | 31 | 15% |
| Student > Postgraduate | 16 | 8% |
| Student > Ph. D. Student | 15 | 7% |
| Other | 13 | 6% |
| Other | 32 | 15% |
| Unknown | 66 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 100 | 48% |
| Nursing and Health Professions | 7 | 3% |
| Agricultural and Biological Sciences | 7 | 3% |
| Computer Science | 4 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 1% |
| Other | 15 | 7% |
| Unknown | 71 | 34% |
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 27 May 2016.
All research outputs
#15,376,252
of 22,875,477 outputs
Outputs from BMC Oral Health
#742
of 1,475 outputs
Outputs of similar age
#189,672
of 311,731 outputs
Outputs of similar age from BMC Oral Health
#7
of 13 outputs
Altmetric has tracked 22,875,477 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 1,475 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 36th percentile – i.e., 36% 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 311,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.