Abstract:Background: The purpose of this study is to investigate the level of smartphone addiction of university students and determine the related factors.Methods: This cross-sectional study was conducted among first and third-class students of the 2016 fall semester in Eskişehir Osmangazi University with 1492 students. In this study, risk of smartphone addiction was evaluated by using Short Version of Smartphone Addiction Scale (SAS-SV). In data analysis, Mann Whitney U, Kruskal Wallis and hierarchical multi linear r… Show more
“…The research was conducted in North Sumatra with medical students as respondents and discovered that the average age of the respondents was 19.71 years. Similarities in terms of the characteristics of the respondent's age variable can also be found in other studies, but these studies do not specifically mention the trend of respondent's age [16], [23], [27] In terms of gender characteristics, most of the respondents in this research are female. This happened because the prevalence of female students is higher than male students.…”
Section: Discussionsupporting
confidence: 72%
“…This happened because the prevalence of female students is higher than male students. Comparable gender characteristics of respondents were also found by several types of research regarding the association between smartphone addiction and insomnia [14], [16], [23], [26], [27], [28], [29]. The percentage difference between female and male respondents in these studies varied in the range of 2-53%.…”
Section: Discussionmentioning
confidence: 78%
“…The high level of intensity of device using can cause side effects for users. Various studies have succeeded in finding the side effects of addiction due to excessive use of smartphones among teenager respondents [18], [19], [20], [21], [22], [23], [24], [25]. The condition of smartphone addiction can contribute to the development of various pathological conditions.…”
BACKGROUND: The use of smartphones is increasing in the coronavirus disease (COVID-19) pandemic for various purposes, this encourages smartphone addiction. In addition, the incidence of insomnia has also increased in the pandemic era.
AIM: This study was conducted to find an association between smartphone addiction and the incidence of insomnia, especially among students of the Faculty of Medicine, Udayana University.
METHOD: This research is a descriptive-analytic study with the cross-sectional method, using two main questionnaires, Smartphone Addiction Scale-Short Version, and Insomnia Severity Index. Questionnaires were distributed using Google forms and then collected and analyzed using software SPSS version 25.
RESULT: Overall the total research respondents with the inclusion criteria in this study amounted to 364 people. The results showed that 212 respondents (58.24%) had a high level of smartphone addiction and 152 respondents (41.76%) had a low level of smartphone addiction. In addition, 187 respondents (51.37%) experienced mild insomnia, 87 respondents (23.9%) experienced moderate insomnia, 13 respondents (3.57%) experienced severe insomnia, and 77 respondents (21.15%) did not experience insomnia. Based on the results of data analysis, it was found that smartphone addiction had a significant relationship (p = 0.002) with weak and positive correlation (r = 0.162) to the incidence of insomnia.
CONCLUSION: It was found that the majority of respondents experienced high levels of smartphone addiction and mild insomnia. Another finding suggests the higher addiction to the smartphones, the more severe insomnia suffered.
“…The research was conducted in North Sumatra with medical students as respondents and discovered that the average age of the respondents was 19.71 years. Similarities in terms of the characteristics of the respondent's age variable can also be found in other studies, but these studies do not specifically mention the trend of respondent's age [16], [23], [27] In terms of gender characteristics, most of the respondents in this research are female. This happened because the prevalence of female students is higher than male students.…”
Section: Discussionsupporting
confidence: 72%
“…This happened because the prevalence of female students is higher than male students. Comparable gender characteristics of respondents were also found by several types of research regarding the association between smartphone addiction and insomnia [14], [16], [23], [26], [27], [28], [29]. The percentage difference between female and male respondents in these studies varied in the range of 2-53%.…”
Section: Discussionmentioning
confidence: 78%
“…The high level of intensity of device using can cause side effects for users. Various studies have succeeded in finding the side effects of addiction due to excessive use of smartphones among teenager respondents [18], [19], [20], [21], [22], [23], [24], [25]. The condition of smartphone addiction can contribute to the development of various pathological conditions.…”
BACKGROUND: The use of smartphones is increasing in the coronavirus disease (COVID-19) pandemic for various purposes, this encourages smartphone addiction. In addition, the incidence of insomnia has also increased in the pandemic era.
AIM: This study was conducted to find an association between smartphone addiction and the incidence of insomnia, especially among students of the Faculty of Medicine, Udayana University.
METHOD: This research is a descriptive-analytic study with the cross-sectional method, using two main questionnaires, Smartphone Addiction Scale-Short Version, and Insomnia Severity Index. Questionnaires were distributed using Google forms and then collected and analyzed using software SPSS version 25.
RESULT: Overall the total research respondents with the inclusion criteria in this study amounted to 364 people. The results showed that 212 respondents (58.24%) had a high level of smartphone addiction and 152 respondents (41.76%) had a low level of smartphone addiction. In addition, 187 respondents (51.37%) experienced mild insomnia, 87 respondents (23.9%) experienced moderate insomnia, 13 respondents (3.57%) experienced severe insomnia, and 77 respondents (21.15%) did not experience insomnia. Based on the results of data analysis, it was found that smartphone addiction had a significant relationship (p = 0.002) with weak and positive correlation (r = 0.162) to the incidence of insomnia.
CONCLUSION: It was found that the majority of respondents experienced high levels of smartphone addiction and mild insomnia. Another finding suggests the higher addiction to the smartphones, the more severe insomnia suffered.
“…Nesse contexto, a literatura relata a existência de fatores motivacionais, os quais podem ser intrínsecos e extrínsecos (RYAN;DECI, 2000). A socialização e diversão são exemplos de fatores extrínsecos que podem favorecer com que a pessoa fique mais tempo nos smartphones e em CS (ZENCIRCI et al, 2018), porém os mesmos fatores podem incentivar a pessoa a realizar outro comportamento, como foi identificado na fala dos escolares. Assim, saber como utilizar a motivação para a melhoria da saúde é interessante, uma vez que ela possui influência nas ações dos indivíduos (RYAN; DECI, 2000).…”
Objetivou-se verificar os fatores sociodemográficos associados ao tempo de uso do smartphone e explorar as características que um aplicativo de smartphone deve conter para redução do Comportamento Sedentário (CS) em adolescentes. Quatrocentos e oitenta e dois adolescentes responderam ao Questionário de CS, Questionário Habitual de Atividade Física para Adolescentes e mensuração de peso e estatura para o cálculo do IMC (kg/m²). Realizou-se o teste de regressão logística para associar as variáveis com o smartphone (p<0,05). Oito indivíduos participaram da entrevista semiestruturada por meio do protocolo ETCI para explorar o que deve conter em um aplicativo de smartphone para diminuir o CS e as análises foram feitas pela codificação simples. A metodologia mista identificou que meninas apresentam maior risco de usarem o smartphone (p=0,002) e de terem alto CS (p=0,000). As entrevistas elucidaram que um aplicativo de smartphone para diminuir o CS de adolescentes deve possuir: relação social, metas, recompensa, mensagens, atualizações e pode ser um jogo.
“…Niro et al (2020) reported that 48% of 126 samples spent duration more than 12 hours using gadgets, and it, mostly, was for playing games (29,5) and watching videos (32,8%). Zencirci et al (2018) also proved that social contacts and entertaining applications/content increase students' addiction to the gadget. Therefore, it is not surprising that people often used their gadgets to access entertaining applications and social simulation games like the Animal Crossing series or Minecraft.…”
Using gadgets cannot be avoided in daily life. It becomes more primary for students in higher education since they change to learn online during the covid−19 pandemic period. They should use gadgets focusing on education, but unfortunately, studies had reported that students are addicted to using gadgets to access some entertaining applications. Therefore, it was essential to investigate how the students manage using gadgets and their effects on their achievement. This survey research required the student's responses to a Gadget Scale-Short Version (SAS-SV) Addict item. The researchers collected data using a survey questionnaire on Google Form to determine how using gadgets affects the students' achievement. This research was done from August to December 2020. The results showed that both male and female students were identified as high-risk addicted. Moreover, the gadget addiction had terrible effects on the student's physical and psychological even though it did not significantly impact their academic achievement. However, based on the results, it was hoped that there should be the best management for using gadgets to improve the students’ achievement and prevent the long-term risk of gadget addiction.
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