Smartphone Use, Digital Addiction and Physical and Mental Health in Community-dwelling Older Adults: a Population-based Survey

Bertocchi, F; Oliveira, Aparecida Carmem de; Lucchetti, Giancarlo; Lucchetti, Alessandra Lamas Granero

doi:10.1007/s10916-022-01839-7

Cited by 15 publications

(8 citation statements)

References 43 publications

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“…For instance, studies conducted among similar students taking university entrance tests reported that repeat test takers had higher rates of depression, anxiety, burnout, and suicidal behaviors, as found in the studies conducted before the pandemic [ 15 ], and during the pandemic [ 17 ]. It is also reported that mental health problems had significant associations with different types of digital addiction, for instance, smartphone addiction [ 7 , 30 , 31 ], Facebook addiction [ 22 ], nomophobia [ 29 ], internet addiction [ 6 ], and social media addiction [ 32 ]. The bilateral relationship between mental health problems with digital addiction underscores the possibility of the repeat test takers having a higher chance of digital addiction, but this study did not observe a statistically significant difference.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study

Al-Mamun,

Hasan,

Mostofa

et al. 2024

BMC Psychiatry

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Background The surge in digital media consumption, coupled with the ensuing consequences of digital addiction, has witnessed a rapid increase, particularly after the initiation of the COVID-19 pandemic. Despite some studies exploring specific technological addictions, such as internet or social media addiction, in Bangladesh, there is a noticeable gap in research focusing on digital addiction in a broader context. Thus, this study aims to investigate digital addiction among students taking the university entrance test, examining its prevalence, contributing factors, and geographical distribution using GIS techniques. Methods Data from a cross-sectional survey were collected from a total of 2,157 students who were taking the university entrance test at Jahangirnagar University, Bangladesh. A convenience sampling method was applied for data collection using a structured questionnaire. Statistical analyses were performed with SPSS 25 Version and AMOS 23 Version, whereas ArcGIS 10.8 Version was used for the geographical distribution of digital addiction. Results The prevalence of digital addiction was 33.1% (mean score: 16.05 ± 5.58). Those students who are attempting the test for a second time were more likely to be addicted (42.7% vs. 39.1%), but the difference was not statistically significant. Besides, the potential factors predicted for digital addiction were student status, satisfaction with previous mock tests, average monthly expenditure during the admission test preparation, and depression. No significant difference was found between digital addiction and districts. However, digital addiction was higher in the districts of Manikganj, Rajbari, Shariatpur, and Chittagong Hill Tract areas, including Rangamati, and Bandarban. Conclusions The study emphasizes the pressing need for collaborative efforts involving educational policymakers, institutions, and parents to address the growing digital addiction among university-bound students. The recommendations focus on promoting alternative activities, enhancing digital literacy, and imposing restrictions on digital device use, which are crucial steps toward fostering a healthier digital environment and balanced relationship with technology for students.

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Section: Discussionmentioning

confidence: 99%

Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study

Al-Mamun,

Hasan,

Mostofa

et al. 2024

BMC Psychiatry

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“…Furthermore, Internet use was associated with a higher grip strength, which was true even after adjusting for age, smoking, physical activity, chronic diseases, sitting time, and other factors, supporting our study’s results [ 43 ]. Furthermore, some reports have suggested that ICT use is associated with quality of life and health literacy [ 44 , 45 , 46 ]. Integrating and interpreting our results with the findings of these previous studies, these findings suggest that healthy people are more likely to own information and communication devices, such as smartphones, and to use the Internet to maintain their health and Internet use is associated with good performance, such as sarcopenia and LS.…”

Section: Discussionmentioning

confidence: 99%

Association between Internet Use and Locomotive Syndrome, Frailty, and Sarcopenia among Community-Dwelling Older Japanese Adults

Hirose,

Sawaya,

Ishizaka

et al. 2024

Nursing Reports

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In the lives of those who are the target of community health nursing, it is important to collaborate with individuals and communities to improve their quality of life. Herein, we aimed to determine the association between Internet use among older individuals and locomotive syndrome (LS), frailty, and sarcopenia. In this cross-sectional study conducted between July 2022 and March 2023, we recruited 105 community-dwelling older Japanese adults who participated in a care prevention project called “Kayoi-no-ba”. All participants were divided into Internet and non-Internet user groups according to the classification of a previous study. We assessed LS (standing test, two-step test, and five-question Geriatric Locomotive Function Scale), frailty (through the Questionnaire for Medical Checkup of Old-Old), and sarcopenia (grip strength, normal walking speed, and skeletal muscle mass index) and made group comparisons between Internet users and non-users. Binomial logistic regression analyses were performed with Internet use as the independent variable and sarcopenia or LS as the dependent variables. The Internet and non-Internet user groups had 69 and 36 participants, respectively. The Internet user group comprised 65.7% of all participants, which was similar to that reported in a previous study of the same age group. Between-group comparisons showed significant differences in sarcopenia and LS items, whereas adjusted binomial logistic analysis showed a significant association between sarcopenia and Internet use. In summary, among LS, frailty, and sarcopenia, sarcopenia showed the highest association with Internet use. Older adults without sarcopenia having good physical functions, such as grip strength, walking speed, and skeletal muscle index, more likely used the Internet; while older adults with sarcopenia were less likely to use the Internet. This implied that Internet use may be associated with physical function.

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“…The elderly who use and are accustomed to smartphone use have higher levels of happiness compared to those who do not [28,90], and social media use and satisfaction improve happiness levels in the elderly [27,75,91,92]. Some studies have shown that the use of smart devices is not necessarily positive for the lives of the elderly [93][94][95][96][97].…”

Section: Leisure Factors Affecting the Happiness Of The Elderlymentioning

confidence: 99%

Leisure and Happiness of the Elderly: A Machine Learning Approach

Kim,

Kang,

Park

2024

Sustainability

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Leisure activities play an important role in improving happiness levels for the elderly. The purpose of this study is to explore leisure-related factors that affect the happiness of the elderly using machine learning algorithms. For this research, the 2019 National Leisure Activity Survey released by the Ministry of Culture, Sports and Tourism, Republic of Korea, was used to analyze the data of 1769 elders over the age of 65 among 10,060 men and women aged 15 years and older in 17 cities and provinces nationwide, and it went through the process of data preprocessing, data segmentation, prediction model construction and evaluation, and model tuning. According to the findings of the study, the main factors predicting the happiness index of the elderly were leisure life satisfaction, leisure time, whether to use public leisure facilities, leisure policy satisfaction, and leisure activity companionship. The overall findings of this study imply that exploring sustainable policy towards the achievement of sustainable happiness for the elderly is important. Based on these results, policy measures to improve the happiness level of the elderly were discussed.

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Smartphone Use, Digital Addiction and Physical and Mental Health in Community-dwelling Older Adults: a Population-based Survey

Cited by 15 publications

References 43 publications

Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study

Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study

Association between Internet Use and Locomotive Syndrome, Frailty, and Sarcopenia among Community-Dwelling Older Japanese Adults

Leisure and Happiness of the Elderly: A Machine Learning Approach

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