Adicción a las redes y nomofobia en jóvenes. Aspectos sociales, educativos y su incidencia

While there is evidence of a positive relationship between cellular telephone (cell phone) use and sedentary behavior, but not physical activity in college-aged individuals (18-29 years old), these relationships have not been tested in individuals older than college age (≥ 30 years old). This research is warranted as cell phone use is inversely associated with age; thus these relationships may be different in older individuals. PURPOSE: To assess the relationship between cell phone use, physical activity and sedentary behavior in adults older than college age (≥ 30 years old). METHODS: Adults aged 30-63 years (N = 69, 51 ± 8 years old) wore physical activity monitors (accelerometers) for seven days and completed surveys assessing daily cell phone use, physical activity, and sedentary behavior. Pearson’s correlation analyses were performed to assess relationships between cell phone use and age, physical activity, and sedentary behavior. Participants were then split into tertiles based on total cell phone use (low, moderate, and high) and a MANCOVA (sex and age as covariates) was used to determine if there were group differences in physical activity and sedentary behavior. RESULTS: Cell phone use ( = 125.2 ± 146.8 minutes per day) was inversely associated with age (r = - 0.3, p = 0.005). Cell phone use was not associated with objectively- or subjectively-measured physical activity or sedentary behavior (r ≤ 0.1, p ≥ 0.3 for all). There were also no significant differences in physical activity or sedentary behavior between the low, moderate, and high cell phone user groups (F ≤ 2.0, p ≥ 0.12 for all). CONCLUSION: Consistent with previous research, there was an inverse relationship between cell phone use and age. Unlike what has been reported in college-aged individuals, cell phone use was not associated with sedentary behavior in adults older than college age. Because younger individuals are “digital natives” who have been raised with near-constant access to cell phones this may be their sedentary activity of choice. Conversely, adults who are older may prefer other, more traditional forms of sedentary activities such as watching television and using a desktop computer. This may explain the lack of a relationship between cell phone use and sedentary behavior in adults beyond college age.

Previous work from our research group has indicated a significant, positive relationship between cellular telephone (cell phone) use and sitting or sedentary behavior in college students. However, this work has been limited to only a single, large, public university in the Midwestern United States. Therefore, it remains unknown if this relationship would be present in groups of college students from different geographic regions and/or cultural backgrounds. PURPOSE: To compare the relationship between daily cell phone use and sedentary behavior in samples of college students from Japan and the United States. METHODS: A sample of college students (N = 808, 20.2 ± 1.8 years old) from either a university in Japan (n = 534, 19.8 ± 1.1 years old) or the United States (n = 274, 21.71± 2.4 years old) completed validated surveys assessing age, daily cell phone use (min) and daily total sedentary behavior (min). Surveys were administered in English for American students and Japanese for students from Japan. RESULTS: Independent samples t-tests revealed that Japanese students reported greater daily sitting (420 ± 264 min/day) and less daily cell phone use (215 ± 125 min/day) than American students (360 ± 198 min/day sitting, 274 ± 150 min/day cell phone use). Because of these differences, Pearson’s correlation analyses assessing the relationship between cell phone use and sedentary behavior were performed for Japanese and American students separately. There were significant, positive relationships between cell phone use and sedentary behavior in both Japanese (r = 0.132, p = 0.002) and American (r = 0.166, p = 0.006) college students. CONCLUSION: While there were differences in sedentary behavior and cell phone use in Japanese versus American college students, the relationships between these variables was positive and significant regardless of group. This finding supports previous data indicating that elevated cell phone use is predictive of greater daily sitting in college students. Furthermore, present results indicate that this relationship extends beyond American college students.

Texting everywhere for everything: Gender and age differences in cell phone etiquette and use

Objective:Problematic cell phone use is common among young age groups which include university students, and may be accompanied by social anxiety and eating disorders. We aimed to examine the relationship between problematic cell phone use, social anxiety and eating disorders among university students.Methods:The universe of this cross-sectional study consists of 28,669 students receiving education at a Inonu University between October 2017 - November 2017. With a confidence interval of 95% and power of 80%, the sample size was calculated to be 308. The survey forms used in the study included students’ sociodemographic characteristics, data regarding cell phone usage, Problematic Mobile Phone Use Scale, Liebowitz Social Anxiety Scale and Eating Attitudes Test. The statistical analyses were conducted using Student t, One Way ANOVA, Spearman Correlation Test and Binomial Logistic Regression Analysis.Results:The students in the study group demonstrated a 46.1% rate of problematic cell phone use. The students’ Problematic Mobile Phone Use Scale total scores showed a significant correlation with smoking, and daily duration and purpose of cell phone use (p<0.05).Conclusion:University students demonstrate high rates of problematic cell phone use; in addition, individuals who use cell phones for increased hours or for certain purposes display higher total scores on the Problematic Mobile Phone Use Scale. Students should be educated on limiting problematic cell phone use.

Modern information and communication technologies (ICT) are a pervasive phenomenon in the lives of today's children and young people, and are also increasingly being used in education. Data regarding the effect of young people's ICT use on their academic achievement have been contradictory, and in Serbia, only a few studies have so far been carried out. The aim of the study presented in this paper was to examine the extent and purpose of computer, cell phone and internet use among young people, to determine whether there is a relationship between these behaviors and young people's school grades, and to provide a description of young people's behavior on social networks, with particular reference to their potential exposure to the risks of digital communication. The sample consisted of a total of 1,814 eighth-grade primary school students and second, third and fourth-grade secondary school students in the province of Vojvodina, Serbia, 41% of whom were male and 56% female. The results show that young people spend much more time using cell phones than computers. As many as 36% of young people use cell phones more than two hours a day, while 11% spend an equal amount of time on computers. A quarter of respondents feel that their parents control the amount of time they spend using computers and cell phones. Over 90% have a social media account, which they use primarily to keep in touch with friends and relatives. The majority of respondents personally know the persons they are in contact with through social media and do not behave differently than in real life. The study also looks at differences in computer and cell phone use between genders and according to age, as well as its relationship to academic achievement. The results have been analyzed and discussed in the context of relevant research.

Assessing characteristics related to the use of seatbelts and cell phones by drivers: Application of a bivariate probit model

Prior research indicates that cell phone use is a predominantly sedentary behavior. There is consistent evidence of a positive relationship between smartphone use and sedentary behavior. In other words, high daily cell phone use is associated with high daily sitting. However, while there is evidence that common smartphone uses (e.g., texting) performed during physical activity can reduce the intensity of that activity, the relationship between daily cell phone use and daily physical activity is equivocal. Much of the prior research assessing the relationships between cell phone use and physical activity has relied on self-repot survey instruments and there is a relative dearth of evidence assessing this relationship utilizing objective measures. PURPOSE: To assess the relationship between objectively measured cell phone use and physical activity. METHODS: Daily cell phone use (min) and daily physical activity (steps) were recorded for a period of 10 consecutive days in 50 college students (n = 23 female, 21.4 ± 3.3 years old). Data was obtained from software applications (i.e., apps) on the participants’ cell phones. For example, Apple iPhone users (n = 42 or 84% of the sample) used the “Screen Time” and “Health” apps to assess their cell phone use and steps, respectively. The relationship between these two variables was then assessed. RESULTS: Participants allocated 212.0 ± 76.7 min/day to cell phone use and accumulated 7091.4 ± 3270.8 steps/day. There was a near moderate effect size for the negative correlation between average cell phone use and steps (r = -0.25). In other words, as cell phone use increased, steps decreased. Mixed model regression demonstrated that the relationship between the cell use and physical activity over the 10-day period was significant (F = 17.6, p = 0.001). CONCLUSION: While the effect size of the inverse relationship between objectively measured daily cell phone use and steps was slightly less than moderate, it was statistically significant. This is different from prior research from our group and others who have not seen a significant relationship when using self-reported survey instruments to assess these variables. This difference highlights the need for additional research employing objective measures when assessing relationships between cell phone use and health behaviors.

BackgroundA previous study found an association between maternal cell phone use during pregnancy and maternal-reported child behaviour problems at age 7. Together with cell phones, cordless phones represent the main...

BackgroundHIV/AIDS is now a manageable chronic illness owing to effective antiretroviral therapy (ART), which involves routine follow-up care, including regular physical visits to the clinic. In the recent past, and in wake of the COVID-19 pandemic, there has been increased need for virtual care and intervention delivery, a modality known as mobile health (mHealth), which includes cell phone–delivered services for medical and public health practice.ObjectiveHere we describe cell phone use and its relationship with alcohol use in a cohort of persons living with HIV and latent tuberculosis (TB).MethodsWe performed a cross-sectional analysis of baseline data from a cohort of persons living with HIV and latent TB in HIV care in southwestern Uganda. We estimated proportions of cell phone and text message use and evaluated their associations with alcohol use—a common modifiable behavior among persons living with HIV. Cell phone use (primary outcome) was defined as owning a cell phone that is turned on at least half of the day. Any alcohol use was defined as any self-reported alcohol use in the prior 3 months or a phosphatidylethanol (an alcohol biomarker) level of ≥8 ng/mL.ResultsA total of 300 participants (median age 40 years; n=146, 48.7% male) were included in the analysis. Most (n=267, 89.0%) participants had access to a phone and of them, 26 (9.7%) shared the phone with someone else. In total, 262/300 (87.3%) of participants owned a cell phone that is turned on at least half of the time; the majority (n=269, 89.7%) rarely or never sent text messages, and over two-thirds (n=200, 66.9%) rarely or never received text messages. Most (n=214, 71.3%) had any alcohol use in the prior 3 months. In adjusted analyses, any alcohol use was not significantly associated with cell phone use (adjusted odds ratio [aOR] 0.48, 95% CI 0.18-1.25; P=.13) or sending (aOR 0.82, 95% CI 0.28-2.37; P=.71) or receiving (aOR 1.31, 95% CI 0.70-2.47; P=.40) text messages.ConclusionsThere is hope that mHealth interventions in this population can be carried out using cell phones owing to their popularity; however, the interventions may need to employ methods that do not rely on the sending and receiving of text messages only.

Youth have access to and utilize various types of technology at a growing rate. Cell phones are a portable way for adolescents to remain in constant contact with friends, parents, and others. While White youth are more likely to have a cell phone compared to Latino youth, the trends for cell phone use are similar among all teens with text messaging serving as the most popular means of communication. Despite their high volume of communication with others via cell phones, adolescents are likely to have little or no adult supervision while using technology. With a lack of parental supervision or awareness regarding youth technology use, adolescents may be especially vulnerable to cyberbullying and other negative health impacts. The current study investigates cell phone and texting use among a community sample of Latino adolescents and examines how parental rules regarding cell phone use influences adolescents’ cell phone and texting behaviors.

Typically, physical activity is negatively associated with sedentary behavior. Individuals who exercise regularly but still allocate large amounts of time to sedentary behavior are an exception to this commonly observed negative relationship. Such individuals are known as “active couch potatoes.” Previously, our group found a positive relationship between cell phone use and sedentary behavior. Thus, cell phones may relate to sedentary behavior in a way similar to traditional screens (i.e., TVs). However, we found no relationship between cell phone use and physical activity. Therefore, it may be possible to be a high cell phone user and be highly sedentary, yet maintain sufficient, regular physical activity. In other words, high cell phone use may be associated with a greater likelihood of being an “active couch potato.” PURPOSE: To assess if the relationship between physical activity and sedentary behavior is moderated by cell phone use. Moderation may be due to an increased prevalence of “active couch potatoes” among higher cell phone users. METHODS: A random sample of 228 young adults (n = 128 female, 21 ± 2 years old) completed validated surveys assessing participation in physical activity, sedentary behavior and cell phone use. Participants were then split into even tertiles based upon cell phone use: high use 595 ± 202 min/day, moderate use 218 ± 52 min/day, low use 82 ± 35 min/day. Pearson’s correlation analyses were then performed to assess the relationship between physical activity and sedentary behavior in each of the cell phone use groups separately. RESULTS: There was a significant (p < 0.001), negative (r = -0.41) correlation between physical activity and sedentary behavior in the low cell phone use group. The relationship was weaker but still negative (r = -0.26) and significant (p = 0.03) in the moderate use group. There was no significant relationship (r = 0.002, p = 0.98) in the high cell phone use group. CONCLUSION: In the present study, the significant negative correlation between physical activity and sedentary behavior that is seen in the low cell use group weakens in the moderate use group and is non-existent in the high use group. This suggests that as cell phone use increases there may be a greater number of “active couch potatoes” weakening the relationship between physical activity and sedentary behavior.

The purpose of this study was to examine drivers’ cell phone use behavior as reflected in naturalistic driving data. Video data from 1 week's worth of driving for 108 participants were visually scored for all instances of cell phone use, including conversation and visual or manual (VM) tasks. The frequency of cell phone use for each participant was used to classify drivers’ behavior. Three frequency groups (low, moderate, and high) were scored across all drivers for conversation and VM tasks separately. The regression tree method was used to classify drivers’ cell phone use behavior and identify associated factors. Drivers’ individual factors, including age, annual driving mileage, and education levels, as well as situational factors, including use duration, time of day, road type, lighting (day and night), traffic conditions, and speed when initiating cell phone use, impacted drivers’ cell phone use behavior. The impacts of these factors were different for cell phone conversation and VM tasks. Traffic conditions were identified as affecting drivers’ cell phone VM task use frequency but not cell phone conversation frequency. The study also looked at driver self-regulation behavior based on the frequency of cell phone use.

ELECTROMAGNETIC FIELDS: Conference, Hearing Call Up Cell Phone Use

Maternal cell phone use during pregnancy and child behavioral problems in five birth cohorts

Mobile phone use among college students is a sedentary leisure behavior which may interfere with exercise