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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The relationship between addiction to smartphone usage and depression among adults: a cross sectional study
|
|---|---|
| Published in |
BMC Psychiatry, May 2018
|
| DOI | 10.1186/s12888-018-1745-4 |
| Pubmed ID | |
| Authors |
Aljohara A. Alhassan, Ethar M. Alqadhib, Nada W. Taha, Raneem A. Alahmari, Mahmoud Salam, Adel F. Almutairi |
| Abstract |
Addiction to smartphone usage is a common worldwide problem among adults, which might negatively affect their wellbeing. This study investigated the prevalence and factors associated with smartphone addiction and depression among a Middle Eastern population. This cross-sectional study was conducted in 2017 using a web-based questionnaire distributed via social media. Responses to the Smartphone Addiction Scale - Short version (10-items) were rated on a 6-point Likert scale, and their percentage mean score (PMS) was commuted. Responses to Beck's Depression Inventory (20-items) were summated (range 0-60); their mean score (MS) was commuted and categorized. Higher scores indicated higher levels of addiction and depression. Factors associated with these outcomes were identified using descriptive and regression analyses. Statistical significance was set at P < 0.05. Complete questionnaires were 935/1120 (83.5%), of which 619 (66.2%) were females and 316 (33.8%) were males. The mean ± standard deviation of their age was 31.7 ± 11 years. Majority of participants obtained university education 766 (81.9%), while 169 (18.1%) had school education. The PMS of addiction was 50.2 ± 20.3, and MS of depression was 13.6 ± 10.0. A significant positive linear relationship was present between smart phone addiction and depression (y = 39.2 + 0.8×; P < 0.001). Significantly higher smartphone addiction scores were associated with younger age users, (β = - 0.203, adj. P = 0.004). Factors associated with higher depression scores were school educated users (β = - 2.03, adj. P = 0.01) compared to the university educated group and users with higher smart phone addiction scores (β =0.194, adj. P < 0.001). The positive correlation between smartphone addiction and depression is alarming. Reasonable usage of smart phones is advised, especially among younger adults and less educated users who could be at higher risk of depression. |
X Demographics
The data shown below were collected from the profiles of 67 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 29 | 43% |
| United States | 4 | 6% |
| India | 2 | 3% |
| Benin | 1 | 1% |
| Egypt | 1 | 1% |
| Estonia | 1 | 1% |
| Denmark | 1 | 1% |
| Sudan | 1 | 1% |
| Unknown | 27 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 52 | 78% |
| Scientists | 8 | 12% |
| Practitioners (doctors, other healthcare professionals) | 6 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 547 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 547 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 82 | 15% |
| Student > Master | 65 | 12% |
| Student > Ph. D. Student | 39 | 7% |
| Researcher | 29 | 5% |
| Student > Postgraduate | 29 | 5% |
| Other | 80 | 15% |
| Unknown | 223 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 77 | 14% |
| Medicine and Dentistry | 64 | 12% |
| Nursing and Health Professions | 41 | 7% |
| Social Sciences | 25 | 5% |
| Computer Science | 18 | 3% |
| Other | 83 | 15% |
| Unknown | 239 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 147. 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 23 March 2024.
All research outputs
#286,179
of 25,728,855 outputs
Outputs from BMC Psychiatry
#74
of 5,507 outputs
Outputs of similar age
#6,232
of 345,622 outputs
Outputs of similar age from BMC Psychiatry
#4
of 127 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 98% of its peers.
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 345,622 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.