| Title |
Influence of indoor and outdoor activities on progression of myopia during puberty
|
|---|---|
| Published in |
International Ophthalmology, June 2015
|
| DOI | 10.1007/s10792-015-0091-5 |
| Pubmed ID | |
| Authors |
Veysi Öner, Asker Bulut, Yavuz Oruç, Gökhan Özgür |
| Abstract |
The purpose of this study was to investigate whether time spent on indoor and outdoor activities or the other possible risk factors including age, gender, parental history, and initial refraction was associated with progression of myopia, during puberty. Fifty eyes of 50 myopic children aged 9-14 years were enrolled in the study. The parents were interviewed to determine the amounts of time in hours per day spent on reading and writing, using computer, watching TV, and outdoor activities (i.e., sports, games, or being outdoor with no activities) on an average day. The annual myopia progression rate (diopters per year) was calculated for each subject and was used in the statistical analyses. The mean initial age of the subjects was 10.9 ± 1.5 (ranging from 9 to 14) years. The mean follow-up period was 33.3 ± 10.3 (ranging from 17 to 55) months. There was a significant increase in the mean myopia value of the subjects after follow-up period (p < 0.001). The mean daily time spent on reading and writing and initial refraction value were independently associated with annual myopic progression rate. On the other hand, age, gender, parental myopia, and the mean daily times spent on computer use, watching TV, and outdoor activities had no correlations with annual myopia progression rate. The present study showed that myopia progression was associated with time spent on reading and writing and initial refraction value, during puberty. However, myopia progression was not associated with parental myopia, age, gender, and daily times spent on using computer, watching TV, and outdoor activities. |
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 % |
|---|---|---|
| Unknown | 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 19% |
| Student > Bachelor | 7 | 8% |
| Researcher | 6 | 7% |
| Other | 5 | 6% |
| Student > Ph. D. Student | 5 | 6% |
| Other | 16 | 19% |
| Unknown | 30 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 22% |
| Nursing and Health Professions | 8 | 9% |
| Sports and Recreations | 6 | 7% |
| Computer Science | 3 | 4% |
| Psychology | 3 | 4% |
| Other | 13 | 15% |
| Unknown | 33 | 39% |
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 11 June 2015.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from International Ophthalmology
#567
of 1,053 outputs
Outputs of similar age
#194,655
of 268,905 outputs
Outputs of similar age from International Ophthalmology
#9
of 22 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,053 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 34th percentile – i.e., 34% 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 268,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.