Evidence map›Paper›PMID 38331734›Full record

ArticleBMC public health2024

Smartphone usage and overdependence risk among middle-aged and older adults: a cross-sectional study.

Su Hyun Kim, Young Hoon Kim, Chang-Hyung Lee, YounYoung Lee

Abstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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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.

Su Hyun KimPukyong National University, Industry-University Cooperation Foundation, #45 Yongso-Ro, Nam-Gu, Busan, # 48513, Republic of Korea.
Young Hoon Kim *Department of Marine Sports, College of Information Technology and Convergence, Pukyong National University, #45 Youngso-Ro, Nam-Gu, Busan, # 48513, Republic of Korea. rehabkyh@pknu.ac.kr.
Chang-Hyung Lee *Department of Physical Medicine & Rehabilitation, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, #20 Keumoro, Mulgeum, Yangsan, Gyeongnam, # 50612, Republic of Korea. aarondoctor@gmail.com.
YounYoung LeeWoon-Gok Liberal Arts Education College, Halla University, 28 Halla University-Gil, Wonju-Si, Gangwondo, # 26404, Republic of Korea.

Funding

The National Research Foundation of Korea (NRF) grant funded by the Korea government (MIST) No. 2022R1A5A8023404
6 · The paper itself

Abstract

backgroundPrevious studies have predominantly focused on smartphone overdependence among adolescents and young adults. However, as smartphone usage has recently surged among South Korean middle-aged and older adults, the risk of smartphone overdependence cannot be overlooked among this population. Therefore, this study was conducted to examine the smartphone usage pattern and the associated risk of overdependence in this specific age group.

methodsThe data for individuals who aged 50 or older were extracted from the dataset of a nationwide survey, "The Survey on Smartphone Overdependence, 2021," and the usage of each type of smartphone content and risk of smartphone overdependence among individuals in their 50 s and 60 s were investigated. Age-group-based differences in demographic characteristics, Smartphone Overdependence Scale scores, self-awareness of smartphone overdependence, digital literacy, and psychosocial factors were analyzed. Additionally, a multivariable logistic regression analysis was conducted to explore the factors associated with the potential-to-high risk of smartphone overdependence in both age groups.

resultsIndividuals in their 50s had significantly higher digital literacy, social relations, life satisfaction, and smartphone overdependence scores than those in their 60s, and the percentage of individuals in the high-risk group was also higher in the 50s age group. For both age groups, the most used content was "messenger," "news," and "movies/TV/videos," whereas the least used content was e-learning, gambling, and adult content. The multivariable analysis indicated that, for individuals in their 50s, having a lower educational level was associated with significantly higher odds, whereas having a job and utilizing e-commerce-related contents on smartphone were associated with significantly lower odds of potential-to-high risk for smartphone overdependence. Concerning individuals in their 60s, having a lower educational level and using adult content or gambling were significantly associated with higher odds of potential-to-high risk for smartphone overdependence.

conclusionThis study reveals the risk of smartphone overdependence among middle-aged and older adults in South Korea as well as the associated risk factors. This will assist policymakers in developing policies for the appropriate use of smartphones by these age groups.

Indexed as

SmartphoneAdolescentAgedCross-Sectional StudiesHumansMiddle AgedRepublic of KoreaSurveys and QuestionnairesYoung AdultContentGeriatricsSmartphoneSmartphone overdependence

Identifiers

PMID38331734
PMCPMC10854068

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.