Evidence map›Paper›PMID 38212749›Full record

ArticleBMC public health2024

Smartphone addiction prevalence, patterns of use, and experienced musculoskeletal discomfort during the COVID-19 pandemic in a general Iranian population.

Hamid Reza Mokhtarinia, Maryam Heydari Torkamani, Nasim Farmani, Charles Philip Gabel

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
12.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Hamid Reza MokhtariniaDepartment of Ergonomics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran. hrmokhtarinia@yahoo.com.ORCID 0000-0002-5181-4894
Maryam Heydari TorkamaniDepartment of Ergonomics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.ORCID 0000-0001-9854-0205
Nasim FarmaniIran Welfare Organization, PhD of Social Work, Tehran, Iran.ORCID 0000-0002-2625-8101
Charles Philip GabelAccess Physiotherapy, Coolum Beach, Sunshine Coast, QLD, Australia.ORCID 0000-0001-8354-4545
University of Social Welfare and Rehabilitation Sciences · IR

Funding

University of Social Welfare and Rehabilitation Sciences 2681
6 · The paper itself

Abstract

backgroundSmartphone usage is an essential everyday tool in Iran, however problematic use has escalated and become a concern for the Iranian health policy system, particularly during and following the COVID-19 Pandemic. This study's aim was investigation of the prevalence of smartphone addiction, patterns of use, and the relationship to specific demographic characteristics and associated musculoskeletal disorders during the COVID-19 pandemic.

methodsA descriptive-analytical correlational study recruited participants from a population of convenience (n = 2344) who were smartphone owners with > 1 year of use. For demographic information an electronic self-report questionnaire collected age, sex, marital status, usage for daily hours, and patterns. To assess addiction levels, the 'Smartphone Addiction Scale-short version' (SAS-SV) patient-reported outcome measure was used (cut-off = 31). For experienced discomfort, the Extended Nordic Musculoskeletal Questionnaire (ENMQ) was used.

resultsThe participants (female = 66.6%, n = 1561, mean age = 29.07 ± 12.34 years, range 6-60 years) smartphone use averaged 5.75 ± 3.44 h/day. The general prevalence of smartphone addiction was 46.16% (females = 46.06%, males = 46.36%; married = 44.5%, single = 47.63%). School students had the greatest addiction (53.2%) and those with a higher education to or above a Master's degree were the lowest (39.38%). The highest pattern of use was for social networks at 89.1% of participants (female = 88.34%, male = 90.54%). The areas of highest reported discomfort were the eyes (43.5%) and neck (43.3%). A significant correlation was found between smartphone addiction and hours of daily usage, and the amount of usage increased during the COVID-19 pandemic period.

conclusionA high level of smartphone addiction in the Iranian population was found to have occurred during the COVID-19 pandemic. Those most affected were unmarried individuals and school students, with the predominant areas being the eyes and neck. Health decision-makers should consider these findings when developing recommendations and plans for public health, particularly those focused on students.

Indexed as

COVID-19Internet Addiction DisorderFemaleHumansInfantInfant, NewbornIranMalePandemicsPrevalenceSmartphonePainPrevalenceRisk factorsSmartphoneSocial networking

Identifiers

PMID38212749
PMCPMC10785387
OpenAlexW4390755040

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.