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Finding the "sweet spot" of smartphone use: Reduction or abstinence to increase well-being and healthy lifestyle?! An experimental intervention study
Abstract
The present experimental study compared the impact of a total abstinence from smartphone use and of a reduction of daily smartphone use by 1 hr on well-being and healthy lifestyle. Participants (Ntotal = 619) were smartphone users in Germany. The first experimental group (N = 200) waived smartphone use for 7 days, the second experimental group (N = 226) reduced its daily use by 1 hr, and the control group (N = 193) used smartphone as usual. Variables of smartphone use (time, intensity, problematic tendencies), life satisfaction, depressive symptoms, anxiety symptoms, physical activity, and smoking behavior were assessed via online surveys at four measurement time points (baseline; postintervention; 1 and 4 months after postintervention). Both interventions reduced smartphone use intensity, problematic use tendencies, depressive, and anxiety symptoms. In both groups, life satisfaction and physical activity increased. Most effects were stronger and remained more stable over 4 months in the reduction group than in the abstinence group. Moreover, in the reduction group only, the number of daily smoked cigarettes decreased. Thus, less time spent on the smartphone leads to more well-being and a healthier lifestyle; a complete smartphone abstinence is not necessary. Programs that focus on the increase of well-being and a healthier lifestyle could benefit from the integration of controlled reduction of smartphone use. A potential "sweet spot" of smartphone use is discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
... Furthermore, they only investigated the effects of smartphone use reduction and not complete abstinence from smartphone use. Brailovskaia et al. (2022) addressed both limitations by investigating short-and long-term effects (up to 4 months after the intervention) of two experimental conditions: the first group abstained completely from smartphone use for 1 week, while the second group reduced its use by 1 hour per day over the same period. Both interventions led to reductions in daily smartphone use and PSU as well as symptoms of anxiety and depression. ...
... Furthermore, we also wanted to investigate whether a combination of smartphone use reduction and simultaneous increase in physical activity could be an even more beneficial measure. Following Brailovskaia et al. (2022), we formulated research questions to avoid speculation when comparing the three interventions: Research Question 1: Do the effects of the interventions on PSU, mental health, and health behaviors differ? Research Question 2: If the effects differ, how do they differ? ...
... According to Brailovskaia et al. (2022), participants of EG1 and EG3 were advised to reduce their daily smartphone use by 60 minutes for 14 consecutive days. The reduction referred to any Internet-based or non-Internet-based applications and functions. ...
Aim
Tendencies of problematic smartphone use (PSU) have risen during the past decade. As PSU is consistently linked to mental health issues, measures to prevent its appearance and to promote mental health are urgently required.
Subject and Methods
The present study investigated the impact of three interventions on health behavior, PSU, positive mental health (PMH), and depression and anxiety symptoms. Overall, 503 persons from Germany (Mage = 29.19, SDage = 10.51, range: 18–79) participated in the study. Over 14 days, the three experimental groups (a) reduced their daily smartphone use time by 60 minutes, (b) increased their daily level of physical activity by 30 minutes, and (c) combined both measures. The control group continued its behavior as usual. Outcomes were assessed via online surveys at five measurement time points (baseline, intermediate, post-intervention, and 1 and 3 months after the intervention).
Results
All interventions resulted in a significant increase in weekly physical activity and in reduced symptoms of PSU, depression, and anxiety. Furthermore, the smartphone reduction and the combination of both measures contributed to a significant reduction of participants’ daily smartphone use and higher levels of PMH. The effects of the reduction of smartphone use time and its combination with increased physical activity were more stable in the longer term than the increase in physical activity only.
Conclusion
Combined with an increase in physical activity, the reduction of smartphone use time could serve as an efficient and cost-effective measure for the prevention of PSU and the promotion of mental health.
... People tend to experience a variety of emotions regarding their connection to social networks, ranging from healthy and controlled use (Brailovskaia et al., 2022) to addiction and problematic use (Servidio et al., 2021). The Social Comparison Theory can offer one explanation for these emotions (Festinger, 1954). ...
... For example, Instagram intensity appeared to influence psychological well-being, with young adults who spent more time on Instagram reporting higher stress levels (Keyte et al., 2021). Moreover, a recent longitudinal experimental study found that less time spent on the smartphone led to improved well-being and a healthier lifestyle (Brailovskaia et al., 2022). This relationship is often mediated by the level of social comparison, which evokes comparison with others who are seemingly doing better than us (Alfasi, 2019). ...
... These findings of engaging in positive behaviors are supported by experiments in which participants were asked to avoid using the Internet on their smartphones for a period of time or to reduce its usage. Findings showed that less time spent on the smartphone led to improved well-being and a healthier lifestyle (Brailovskaia et al., 2022) and decreased depressive and anxiety symptoms (Hunt et al., 2018). ...
On October 4, 2021, a severe technical service failure of Meta (previously Facebook) caused a worldwide “outage” for six hours. Billions of people, not able to access their social media accounts, experienced different levels of stress. This study took advantage of these unique circumstances to test the stress caused by sudden lack of online access using three main factors: the fear of missing out (FoMO) effect, social media intensity, and demographic factors. In the two days immediately following this event, we conducted an online survey, with 571 adults responding. Using both quantitative and qualitative analyses, data were collected to explore the emotional experiences and predictors of the stress adults underwent during the social media outage. The content analysis revealed four types of reactions: (1) feeling anxious at first, but then feeling better after realizing the outage was global; (2) having only negative feelings; (3) having only positive feelings and even experiencing a version of the joy of missing out (JoMO); and (4) feeling indifferent. A hierarchical regression indicated that stress can be significantly predicted by FoMO, social media intensity, emotional experience, age, and marital status. In addition, FoMO and intensity were found to be mediators between age and stress. Finally, we found associations between stress and gender and employment, with self-employed women experiencing less stress than men and not self-employed women experiencing more stress than men. The findings are discussed in light of the FoMO vs. JoMO effects, the social comparison theory, and the role of demographic factors in reducing or increasing stress when social media is not available.
... Other researchers have found associations between social media use and loneliness (15,16), social isolation (17), social comparison and envy (18,19), and suicidal ideation and suicide attempts (20). The effects of social media consumption have been observed across different cultures (11,(20)(21)(22)(23)(24). Importantly, these negative effects were also questioned (25)(26)(27). ...
... As we have shown, one sec reduces the former and arguably increases the latter. Apps like one sec reduce consumption rather than forbid it completely, an intervention that recently was demonstrated to produce more positive results on different levels of psychological well-being than total abstinence (22). Our findings speak to the unique possibility such mobile applications offer for productive and healthy smartphone use. ...
Research suggests various associations of smartphone use with a range of physical, psychological, and performance dimensions. Here, we test one sec, a self-nudging app that is installed by the user in order to reduce the mindless use of selected target apps on the smartphone. When users attempt to open a target app of their choice, one sec interferes with a pop-up, which combines a deliberation message, friction by a short waiting time, and the option to dismiss opening the target app. In a field-experiment, we collected behavioral user data from 280 participants over 6 wk, and conducted two surveys before and after the intervention span. one sec reduced the usage of target apps in two ways. First, on average 36% of the times participants attempted opening a target app, they closed that app again after one sec interfered. Second, over the course of 6 wk, users attempted to open target apps 37% less than in the first week. In sum, one sec decreased users' actual opening of target apps by 57% after six consecutive weeks. Afterward, participants also reported spending less time with their apps and indicated increased satisfaction with their consumption. To disentangle one sec's effects, we tested its three psychological features in a preregistered online experiment (N = 500) that measured the consumption of real and viral social media video clips. We found that providing the additional option to dismiss the consumption attempt had the strongest effect. While the friction by time delay also reduced consumption instances, the deliberation message was not effective.
... Globally the use of smartphones has exponentially increased becoming an inherent part of many individuals' daily lives and has also introduced various changes in our daily activities and habits [1]. This exponential increase is because, in addition to the phone and text services provided by conventional mobile phones, smartphones contain new technology that provides an interface to make real-time broadcasts, access to a wide range of contents, and send/receive emails [2]. ...
Background:
Globally there has been an exponential increase in the penetration of smartphones among the youth population and smartphones have become indispensable in the daily lives of university students in South Korea. Several studies have associated the problematic use of smartphones or addiction with different adverse outcomes. The goal of this study was to collate empirical evidence and provides an overall synthesis of the literature about the adverse effects of smartphone addiction on university students in South Korea.
Method:
We carried out a systematic review of the published literature between August and October 2022 on the adverse effects of smartphone addiction on university students in South Korea, published between 2012 and 2022 in Pubmed/Medline, PsycInfo, Embase, Biomed-Central, Web of Science, Directory of Open Access Journals, Elsevier's collection, Wiley Online Library, SpringerLink, Sage Journal's collection and Cochrane Library.
Results:
Thirty-four articles published between 2012 and 2022 were included in the synthesis of this review. Eight studies explored the association between smartphone addiction and the psychological and mental health of university students in Korea. Smartphone addiction was associated with physical health leading to sleep disorders and musculoskeletal and neurological problems. Academic performance, procrastination, impulsivity, self-esteem, reduced social interaction, solitude, and suicide were also negatively associated with smartphone addiction.
Conclusions:
Our study adds to the literature regarding the adverse effects of smartphone addiction on university students in Korea and provides more information for addiction prevention and health promotion activities.
The COVID-19 outbreak brought many challenges for everyday life that could affect mental health. The present study investigated cohort trends of sense of control, anxiety symptoms and (addictive) social media use (SMU) in German university freshmen between 2019 (before the pandemic outbreak) and 2021 (after the pandemic outbreak). Data of overall 1,378 freshmen (three cohorts: 2019: N=407, 2020: N=563, 2021: N=408) were collected by online surveys. The comparison of the three cohorts revealed a significant decrease of sense of control from 2019 to 2021 (effect size: Cohen's d = 29. to .36). In contrast, anxiety symptoms (d = .25 to .28), time spent daily on SMU (d = .18 to .36), and addictive SMU (d = .26 to .31) increased. In all cohorts, we found the same result patterns. Anxiety symptoms and the SMU variables were significantly positively correlated (r = .171 to .469, p < .001). Sense of control was significantly negatively correlated with the other assessed variables (r = -.112 to -.279, p < .05 and p < .001). Moreover, anxiety symptoms mediated the relationship between sense of control and addictive SMU. Thus, the COVID-19 outbreak and its consequences for daily life could affect the sense of control, anxiety symptoms and addictive SMU of freshmen in Germany. Potential ways how to protect the young people against these potential negative effects are discussed.
The lockdown restrictions due to the COVID-19 pandemic have led to increased stress levels and feelings of anxiety in the general population. Problematic usage of certain online applications is one frequent way to compensate for negative feelings and stress. The current study investigated changes of online media consumption during the lockdown in Germany. Gender and age specific differences in specific online activities were assessed. n = 3245 subjects participated in an online survey conducted between the 8th April and the 11th May 2020. Participants’ age ranged between 18 and >55 years. A considerably high percentage (71.4%) of participants reported increased online media consumption during the lockdown. Male participants were more likely to increase their consumption of gaming and erotic platforms, while female participants reported a higher increase in the engagement in social networks, information research, and video streaming than males. The findings revealed an increased usage of all online applications during the lockdown. For the clarification whether the increase might present a risk for elevated Internet-use disorders or can be regarded as a functional and time-limited phenomenon, further studies, assessing changes in these online activities after the end of the pandemic, are needed.
Health anxiety has been linked with fear and anxiety regarding COVID‐19. Higher levels of health anxiety likely increased social distancing and self‐isolating during the pandemic. We investigated relations among health anxiety, fear of missing out (FOMO) on rewarding social experiences from social distancing, and consequential levels of problematic smartphone use (PSU) and gaming disorder (GD). We surveyed a broad sample of 812 U.S. and Canadian participants during the pandemic, in late‐May 2020, using the Short Health Anxiety Inventory, FOMO Scale, Smartphone Addiction Scale‐Short Version, and GD test. Significant bivariate relationships were found among health anxiety, FOMO, PSU, and GD severity. Using structural equation modeling, FOMO mediated relations between health anxiety and both PSU and GD severity. We discuss FOMO as an important variable explaining problematic digital technology use to compensate for unmet social needs from social distancing. We discuss these findings within the context of the Interaction of Person‐Affect‐Cognition‐Execution theoretical model of problematic internet use. Results offer novel insight into the role of health anxiety on FOMO from unmet social needs during the COVID‐19 pandemic, and consequential problematic internet use.
Background and aims:
Individuals with high level of negative mental health often tend to use the social platform Facebook to escape from daily stress. They are at risk to develop an emotional bond to Facebook linked to a need to stay permanently online. The current work investigated addictive use of Facebook and its conceptual framework in clinical context.
Methods:
In a longitudinal study design, duration of daily use of Facebook, addictive Facebook use, depressiveness, insomnia, and positive mental health (PMH) were assessed in a sample of 349 inpatients [Mage (SDage) = 50.13 (9.41)] of a psychosomatic rehabilitation clinic in Germany over a period of on average 6 weeks.
Results:
Regression analyses revealed that duration of daily Facebook use at the first measurement time point (T1) served as significant positive predictor of addictive Facebook use at the second measurement time point (T2). Addictive Facebook use (T1) significantly positively predicted depressiveness and insomnia (T2). Its prediction of PMH (T2) was significantly negative. Mediation analyses showed that PMH (T1) partially mediated the association between addictive Facebook use (T1) and depressiveness (T2), and fully mediated the relationship between addictive Facebook use (T1) and insomnia (T2).
Discussion and conclusions:
Current longitudinal results indicate that addictive Facebook use might negatively impact the recovery process of inpatients. Thus, it might be relevant to assess and consider addictive Facebook use in the clinical context. Therapeutic interventions are suggested to focus on the enhancement of inpatients' PMH level, which may buffer the negative effect of problematic Facebook use.
Background:
Over the past decade, smartphone use has become widespread amongst today's children and young people (CYP) which parallels increases in poor mental health in this group. Simultaneously, media concern abounds about the existence of 'smartphone addiction' or problematic smartphone use. There has been much recent research concerning the prevalence of problematic smartphone use is in children and young people who use smartphones, and how this syndrome relates to mental health outcomes, but this has not been synthesized and critically evaluated.
Aims:
To conduct a systematic review and meta-analysis to examine the prevalence of PSU and quantify the association with mental health harms.
Methods:
A search strategy using Medical Subject Headings was developed and adapted for eight databases between January 1, 1st 2011 to October 15th 2017. No language restriction was applied. Of 924 studies identified, 41 were included in this review, three of which were cohort studies and 38 were cross sectional studies. The mental health outcomes were self-reported: depression; anxiety; stress; poor sleep quality; and decreased educational attainment, which were synthesized according to an a priori protocol.
Results:
The studies included 41,871 CYP, and 55% were female. The median prevalence of PSU amongst CYP was 23.3% (14.0-31.2%). PSU was associated with an increased odds of depression (OR = 3.17;95%CI 2.30-4.37;I2 = 78%); increased anxiety (OR = 3.05 95%CI 2.64-3.53;I2 = 0%); higher perceived stress (OR = 1.86;95%CI 1.24-2.77;I2 = 65%); and poorer sleep quality (OR = 2.60; 95%CI; 1.39-4.85, I2 = 78%).
Conclusions:
PSU was reported in approximately one in every four CYP and accompanied by an increased odds of poorer mental health. PSU is an evolving public health concern that requires greater study to determine the boundary between helpful and harmful technology use. Policy guidance is needed to outline harm reduction strategies.
The purpose of this study was to carry out a review of observational studies that consider links between mobile phone use and mental health from a psychological or behavioral perspective. Systematic literature searches in PubMed and PsycINFO for articles published until 2017 were done. Exclusion criteria included: papers that considered radiofrequency fields, attention, safety, relational consequences, sexual behavior, cyberbullying, and reviews, qualitative, and case or experimental studies. A total of 4738 papers were screened by title and abstract, 404 were retrieved in full text, and 290 were included. Only 5% had any longitudinal design. Self-reporting was the dominating method of measurement. One third of the studies included children or youth. A majority of adult populations consisted of university students and/or self-selected participants. The main research results included associations between frequent mobile phone use and mental health outcomes, such as depressive symptoms and sleep problems. Mobile phone use at bedtime was associated with, e.g., shorter sleep duration and lower sleep quality. “Problematic use” (dependency) was associated with several negative outcomes. In conclusion, associations between mobile phone use and adverse mental health outcomes are found in studies that take a psychological or behavioral perspective on the exposure. However, more studies of high quality are needed in order to draw valid conclusions about the mechanisms and causal directions of associations.
Introduction: Given the breadth of correlational research linking social media
use to worse well-being, we undertook an experimental study to investigate the
potential causal role that social media plays in this relationship. Method: After a
week of baseline monitoring, 143 undergraduates at the University of Pennsylvania
were randomly assigned to either limit Facebook, Instagram and Snapchat
use to 10 minutes, per platform, per day, or to use social media as usual for three
weeks. Results: The limited use group showed significant reductions in loneliness
and depression over three weeks compared to the control group. Both groups
showed significant decreases in anxiety and fear of missing out over baseline,
suggesting a benefit of increased self-monitoring. Discussion: Our findings strongly
suggest that limiting social media use to approximately 30 minutes per day may
lead to significant improvement in well-being.
Excessive smartphone use has been associated with a number of negative consequences for the individual and the environment. Some similarities can be observed between excessive smartphone usage and several behavioural addictions, and continual usage constitutes one of several characteristics included in addiction. In the extreme high end of the distribution of smartphone usage, smartphone restriction might be expected to elicit negative effects for individuals. These negative effects may be regarded as withdrawal symptoms traditionally associated with substance-related addictions. To address this timely issue, the present study examined scores on the Smartphone Withdrawal Scale (SWS), the Fear of Missing Out Scale (FoMOS) and the Positive and Negative Affect Schedule (PANAS) during 72 h of smartphone restriction. A sample of 127 participants (72.4% women), aged 18–48 years (M = 25.0, SD = 4.5), were randomly assigned into one of two conditions: a restricted condition (experimental group, n = 67) or a control condition (control group, n = 60). During the restriction period participants completed the aforementioned scales three times a day. The results revealed significantly higher scores on the SWS and FoMOS for participants allocated to the restricted condition than those assigned to the control condition. Overall the results suggest that smartphone restriction could cause withdrawal symptoms.
The present study investigated the relationship between flow experienced when using Facebook (Facebook flow; i.e., experience of intensive enjoyment and pleasure generated by Facebook use due to which the Facebook activity is continued even at high costs of this behavior) and Facebook Addiction Disorder (FAD). In a sample of 398 Facebook users (age: M (SD) = 33.01 (11.23), range: 18–64), the significant positive association between Facebook flow and FAD was positively moderated by the intensity of Facebook use. Exploratory factor analysis revealed that all six items assessing FAD loaded on the same factor as two items belonging to the subscale telepresence of Facebook flow. Therefore, the close link between Facebook flow and FAD may in particular result from the immersion in an attractive online world created by Facebook, where users escape to forget their everyday obligations and problems. Present results provide first evidence that Facebook flow may be an anteceded of FAD and indicate the mechanisms that may contribute to its development and maintenance. Practical applications for future studies and limitations of present results are discussed.
Over the past decade, there have been an increasing number of studies that have investigated problematic and/or ‘addictive’ smartphone use. The present study explored the prevalence and correlates of problematic smartphone use (PSU) among Chinese university students. Few studies have investigated relationships between PSU and factors such as academic anxiety, academic procrastination, self-regulation, and subjective wellbeing. The present study proposed and tested a hypothetical model of relationships between PSU and these factors. A total of 475 Chinese university students completed a paper-based survey during class breaks. The survey comprised a battery of psychometric scales translated into Chinese translations examining the study variables (i.e., academic anxiety, academic procrastination, self-regulation, life satisfaction, and PSU). Path analysis was applied to test the hypothetical model. A good model fit was found (CFI = 1.00, RMSEA = 0.008), in which PSU predicted academic procrastination (β = 0.21, p < 0.001) and academic anxiety (β = 0.18, p < 0.01). Also, self-regulation predicted PSU (β = − 0.35, p < 0.001), academic anxiety (β = − 0.29, p < 0.001), academic procrastination (β = 0.23, p < 0.001) and life satisfaction (β = 0.23, p < 0.001). PSU mediated the relationships between self-regulation, and both academic anxiety and academic procrastination. The present study enhances our understanding of the role of problematic smartphone use in relation to academic behaviour, mental health and wellbeing of college students.
Research investigating the various mental, physical, and social effects of smartphone use has proliferated in the previous decade. Two variables of interest in this literature are the levels of anxiety and stress associated with smartphone use. The current meta‐analysis aimed to provide the first quantitative review of this literature, as well as determine potential moderators that might influence this relationship. A total of 39 independent samples (N = 21, 736) were used to compute a summary effect size of r = .22, p < .001, CI [.17–.28] indicating a small‐to‐medium association between smartphone use and stress and anxiety. Significant moderators included the year in which the article was published, as well as whether problematic or nonproblematic phone use was assessed. In addition, studies using validated measures of smartphone use indicated a (nonsignificantly) larger association than studies using nonvalidated measures. Strengths and limitations of the meta‐analysis, as well as future directions of research are discussed.
Recent studies have yielded initial evidence for an association between Internet Use Disorder (IUD), empathy, and life satisfaction. In the present study we sought to replicate these previous findings, and then to extend this research by also examining the relationship between empathy, life satisfaction, and the related phenomenon of Smartphone Use Disorder (SUD). The present study included independent samples from China (N = 612, 162 females) and Germany (N = 304, 207 females), with the same set of questionnaires administered to both samples. IUD was measured with Pawlikowski's s-IAT and SUD was assessed with the short version of Kwon's Smartphone Addiction Scale. The Interpersonal Reactivity Index (IRI) was used to assess individual differences in empathy. Please note that for the German sample data on the empathy quotient (EQ) are also available. Life satisfaction data were collected using items from the SOEP-Questionnaire (Socio-Economic Panel, Germany). In both of our samples we replicated previous findings showing the association between higher IUD, lower empathy, and lower life satisfaction scores. In addition, individuals with higher SUD showed higher scores on the IRI Personal Distress scale in China and Germany, while further associations between IRI dimensions and SUD were only found in the Chinese sample. Personal Distress is known to be highly correlated with the personality trait of Neuroticism, hence higher stress/negative emotionality in tense social situations is related to SUD. In the present study we confirm earlier findings showing the relationship between empathy, life satisfaction, and IUD, and extend some of these findings to SUD. We also emphasize the importance of cross-cultural studies when investigating IUD/SUD in the context of empathy and life satisfaction.
Invention arises from novel combinations of prior technologies. However, prior studies of creativity have suggested that overly novel combinations may be harmful to invention. Apart from the factors of expertise, market, etc., there may be such a thing as ‘too much’ or ‘too little’ novelty that will determine an invention’s future value, but little empirical evidence exists in the literature. Using technical patents as the proxy of inventions, our analysis of 3.9 million patents identifies a clear ‘sweet spot’ in which the mix of novel combinations of prior technologies favors an invention’s eventual success. Specifically, we found that the invention categories with the highest mean values and hit rates have moderate novelty in the center of their combination space and high novelty in the extreme of their combination space. Too much or too little central novelty suppresses the positive contribution of extreme novelty in the invention. Furthermore, the combination of scientific and broader knowledge beyond patentable technologies creates additional value for invention and enlarges the advantage of the novelty sweet spot. These findings may further enable data-driven methods both for assessing invention novelty and for profiling inventors, and may inspire a new strand of data-driven design research and practice.
Recent research has reported negative consequences, such as increased anxiety, associated with restricting people’s access to their mobile phones. These findings have led researchers to suggest that mobile phone use may pose a legitimately addictive behavior for some people. Other research has suggested negative effects of mobile phones on academic outcomes. To study the effects of phone separation on both anxiety and attainment of academic study goals, we randomly assigned participants (N = 93) to a restricted mobile phone access condition or a control condition. After setting a list of goals for a study session, participants worked on their own, self-chosen class materials for 60 minutes. Anxiety was measured before and immediately following the study session. Attainment of study goals was assessed through a self-report estimate of the percent of study goals accomplished at the end of the session. We predicted that those who classified as high on a problematic mobile phone use scale and who had their phones taken away would show the greatest increases in anxiety over the session as well as the greatest deficits in attainment of study goals as compared to all other participants. While there was a general tendency for participants who scored higher on the problematic use scale to be more anxious, anxiety did not differ between participants with phone access and those without it. Participants without phone access self-reported attainment of 12% more of their study goals than those who had phones. This study qualified the conditions for which restricting mobile phone access increases anxiety and provided further empirical support for detriments to attainment of study goals when mobile phones are present.
Method:
We conducted a systematic review of the relationship between problematic use
with psychopathology. Using scholarly bibliographic databases, we screened 117
total citations, resulting in 23 peer-reviewer papers examining statistical relations
between standardized measures of problematic smartphone use/use severity
and the severity of psychopathology.
Results:
Most papers examined problematic use in relation to depression, anxiety, chronic
stress and/or low self-esteem. Across this literature, without statistically adjusting
for other relevant variables, depression severity was consistently related to
problematic smartphone use, demonstrating at least medium effect sizes. Anxiety
was also consistently related to problem use, but with small effect sizes. Stress
was somewhat consistently related, with small to medium effects. Self-esteem
was inconsistently related, with small to medium effects when found. Statistically
adjusting for other relevant variables yielded similar but somewhat smaller
effects.
Limitations:
We only included correlational studies in our systematic review, but address the
few relevant experimental studies also.
Conclusions:
We discuss causal explanations for relationships between problem smartphone
use and psychopathology.
[Purpose] The effect of duration of smartphone use on neck and shoulder muscle fatigue and pain was investigated in adults with forward head posture. [Subjects and Methods] Thirty-four adults with forward head posture were classified into groups by duration of smartphone use: 11 used a smartphone for 10 minutes each (group 1), 12 for 20 minutes each (group 2), and 11 for 30 minutes each (group 3). Fatigue cervical erector spinae and upper trapezius muscles was measured by electromyography, and pain before and after the experiment was evaluated using Visual Analog Scale (VAS) scores. [Results] There was a significant difference in the degree of fatigue in the left upper trapezius muscles in group 2 and left cervical erector spinae and bilateral upper trapeziuses group 3. There was a significant difference in fatigue in the left upper trapezius in groups 1 and 3. The VAS showed significant differences in all groups before and after the experiment and between groups 1 and 3. [Conclusion] Pain and fatigue worsened with longer smartphone use. This study provided data on the proper duration of smartphone use. Correct posture and breaks of at least 20 minutes are recommend when using smartphones.
[Purpose] The aim of this study was to evaluate the changes in posture and respiratory functions depending on the duration of smartphone usage. [Subjects and Methods] Participants were randomly allocated to 2 groups: group 1 (subjects who used smartphones for <4 hours/day, n=25) and group 2 (subjects who used smartphones for >4 hours/day, n=25). The craniovertebral angles of all participants were measured and scapular indices were calculated to assess the change in posture and forced vital capacity, forced expiratory volume in 1 second, the ratio of forced expiratory volume in 1 second to forced vital capacity, and peak expiratory flow were measured to assess changes in respiratory function. [Results] There were significant differences in the craniovertebral angle, scapular index, and peak expiratory flow depending on the duration of smartphone usage. [Conclusion] The result of this study showed that prolonged use of smartphones could negatively affect both, posture and respiratory function.
Over the last decade, research into "addictive technological behaviors" has substantially increased. Research has also demonstrated strong associations between addictive use of technology and comorbid psychiatric disorders. In the present study, 23,533 adults (mean age 35.8 years, ranging from 16 to 88 years) participated in an online cross-sectional survey examining whether demographic variables, symptoms of attention-deficit/hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), anxiety, and depression could explain variance in addictive use (i.e., compulsive and excessive use associated with negative outcomes) of two types of modern online technologies: social media and video games. Correlations between symptoms of addictive technology use and mental disorder symptoms were all positive and significant, including the weak interrelationship between the two addictive technological behaviors. Age appeared to be inversely related to the addictive use of these technologies. Being male was significantly associated with addictive use of video games, whereas being female was significantly associated with addictive use of social media. Being single was positively related to both addictive social networking and video gaming. Hierarchical regression analyses showed that demographic factors explained between 11 and 12% of the variance in addictive technology use. The mental health variables explained between 7 and 15% of the variance. The study significantly adds to our understanding of mental health symptoms and their role in addictive use of modern technology, and suggests that the concept of Internet use disorder (i.e., "Internet addiction") as a unified construct is not warranted. (PsycINFO Database Record
Psychologists and psychiatrists commonly rely on self-reports or interviews to diagnose or treat behavioral addictions. The present study introduces a novel source of data: recordings of the actual problem behavior under investigation. A total of N = 58 participants were asked to fill in a questionnaire measuring problematic mobile phone behavior featuring several questions on weekly phone usage. After filling in the questionnaire, all participants received an application to be installed on their smartphones, which recorded their phone usage for five weeks. The analyses revealed that weekly phone usage in hours was overestimated; in contrast, numbers of call and text message related variables were underestimated. Importantly, several associations between actual usage and being addicted to mobile phones could be derived exclusively from the recorded behavior, but not from self-report variables. The study demonstrates the potential benefit to include methods of psychoinformatics in the diagnosis and treatment of problematic mobile phone use.
We investigated the flexor pollicis longus (FPL) tendon and median nerve in smartphone users by ultrasonography to assess the effects of smartphone addiction on the clinical and functional status of the hands.
One-hundred-two students were divided into 3 groups: Non-users, high and low smartphone-users. Smartphone Addiction Scale (SAS) scores and grip and pinch strengths were recorded. Pain in thumb movement and rest and hand function were evaluated on a visual analog scale (VAS) and the Duruöz Hand Index (DHI) respectively. The cross sectional areas (CSA) of the median nerve and the FPL tendon were calculated bilaterally with ultrasonography.
There were significantly higher median nerve CSAs in the dominant hands of the high smartphone users than non-dominant hands (P<0.001). The SAS scores correlated with the VAS pain for movement and rest, the DHI scores, and pinch strength (P<0.05, r=0.345, 0.272, 0.245, and 0.281 respectively).
Smartphone overuse enlarges the median nerve, causes pain in the thumb, and decreases pinch strength and hand functions. This article is protected by copyright. All rights reserved.
© 2015 Wiley Periodicals, Inc.
OPEN ACCESS: http://sgo.sagepub.com/content/5/1/2158244015573169
The cell phone is ever-present on college campuses and is frequently used in settings where learning occurs. This study assessed the relationship between cell phone use and actual college grade point average (GPA) after controlling for known predictors. As such, 536 undergraduate students from 82 self-reported majors at a large, public university were sampled. A hierarchical regression (R2 = .449) demonstrated that cell phone use was significantly (p < .001) and negatively (β = −.164) related to actual college GPA after controlling for demographic variables, self-efficacy for self-regulated learning, self-efficacy for academic achievement, and actual high school GPA, which were all significant predictors (p < .05). Thus, after controlling for other established predictors, increased cell phone use was associated with decreased academic performance. Although more research is needed to identify the underlying mechanisms, findings suggest a need to sensitize students and educators about the potential academic risks associated with high-frequency cell phone use.
To determine the longitudinal and cross-sectional associations between different types of electronic media use (mobile phones, TV, computers, video games, and music) and young adolescents' depressive symptoms, and to explore the potential for household media rules to reduce young people's depression.
126 young adolescents were recruited from the Northeastern USA. Each type of media use was assessed using survey questions, time use diaries, and ecological momentary assessment. The Beck Depression Index for Primary Care was administered at baseline and 1 year later as part of a questionnaire that also included items assessing the presence of household rules about TV and video games.
Baseline use of mobile phones and TV viewing were associated with higher levels of depression 1 year later controlling for demographic information and baseline depression score. Having household rules about TV at baseline predicted lower levels of depression at follow-up.
Both TV viewing and mobile phone use may contribute to the development of depressive symptoms. Implementing household rules about the duration and content of TV could help reduce depression in young adolescents.
Social media (SM) such as Facebook and Instagram are daily used by many people. The current study investigated the reasons for social media use (SMU), as well as their relationships with daily stress, depression and anxiety symptoms, experience of flow during the usage process and tendencies of addictive SMU. In a sample of 485 users of different social platforms (age: M(SD) = 24.75(6.24), range: 18–58), five main categories of usage reasons were identified by an inductive qualitative content analysis: “Search for Information and Inspiration”, “Search for Social Interaction”, “Beat of Boredom and Pastimes”, “Escape from Negative Emotions”, and “Search for Positive Emotions”. Flow experiences positively predicted the categories “Escape from Negative Emotions” and “Search for Positive Emotions”. The last one was additionally predicted by less depression symptoms. Only the category “Escape from Negative Emotions” positively predicted tendencies of addictive SMU. Present findings contribute to the understanding of the development of addictive online behavior. They should be considered when assessing individuals at risk for problematic use of SM like Facebook and Instagram and when developing intervention programs to deal with it.
This study sought to identify factors associated with depression, anxiety, and PTSD symptomatology in U.S. young adults (18-30 years) during the COVID-19 pandemic. This cross-sectional online study assessed 898 participants from April 13, 2020 to May 19, 2020, approximately one month after the U.S. declared a state of emergency due to COVID-19 and prior to the initial lifting of restrictions across 50 U.S. states. Respondents reported high levels of depression (43.3%, PHQ-8 scores ≥ 10), high anxiety scores (45.4%, GAD-7 scores ≥ 10), and high levels of PTSD symptoms (31.8%, PCL-C scores ≥ 45). High levels of loneliness, high levels of COVID-19-specific worries, and low distress tolerance were significantly associated with clinical levels of depression, anxiety, and PTSD symptoms. Resilience was associated with low levels of depression and anxiety symptoms but not PTSD. Most respondents had high levels of social support; social support from family, but not from partner or peers, was associated with low levels of depression and PTSD. Compared to Whites, Asian Americans were less likely to report high levels across mental health symptoms, and Hispanic/Latinos were less likely to report high levels of anxiety. These factors provide initial guidance regarding clinical management for COVID-19-related mental health problems.
Research from the U.S. described a decrease of subjective well-being and an increase of online media use in young adults today. The present study investigated whether similar trends occur in Germany. Data of overall 1985 university freshmen (four cohorts: 2016: N = 658, 2017: N = 333, 2018: N = 562, 2019: N = 432) were collected by online surveys in the years 2016 to 2019. The comparison of the four cohorts revealed a significant increase of depression, anxiety and stress symptoms, as well as of the use of social platforms from 2016 to 2019. In contrast, positive mental health (PMH) significantly decreased over the years. No significant changes of the gaming behavior were found. A slight significant positive relationship occurred between the negative variables of well-being and online media use. The association between PMH and online media use was significantly negative. Thus, cohort trends found in the U.S. can at least rudimentarily be replicated in Germany. Young adults in 2019 seem to have lower levels of well-being and to engage in more use of social platforms than older cohorts.
Suicide-related outcomes increased among young adults in the last decade. Excessive use of social media was hypothesized to contribute to this development. This longitudinal study aimed to investigate whether Facebook Addiction Disorder (FAD) predicts suicide-related outcomes, and whether Positive Mental Health (PMH) buffers this effect. Data of 209 German Facebook users [Mage(SDage) = 23.01 (4.45)] were assessed at two measurement time points over a 1-year period (first measurement = T1 and second measurement = T2) through online surveys. FAD was measured with the Bergen Facebook Addiction Scale, PMH was assessed with the PMH-Scale, and suicide-related outcomes were measured with the Suicidal Behaviors Questionnaire-Revised. The significant positive association between FAD (T1) and suicide-related outcomes (T2) was significantly negatively mediated by PMH (T1). These results demonstrate that addictive Facebook use may enhance the risk of suicide-related outcomes. However, PMH contributes to the reduction of this risk. Therefore, addictive Facebook use and PMH should be taken into account when assessing individuals for suicide of risk.
Almost all adolescents between the ages of 12 and 19 own a smartphone and these offer quick access to the internet and social media, which facilitates message transmissions or communication, plus a wide range of amusements such as games, multimedia players, photo albums and electronic books, and essential tools including camera. Owing to the convenience and multiple functions of smartphones, users tend to become overattached and preoccupied with their devices, and excessive or problematic smartphone use is twice as prevalent among teenagers as among adults. Greater consensus among researchers is needed in relation to the development of guidelines relating to the management of problematic smartphone use. Psychosocial treatments remain the dominant approach. A comprehensive management plan should be tailored to the person’s risk factors and needs, taking into account the external support available from parents (family), schools, and may even consider advanced ICT to achieve the best outcomes.
Use of the social platform Facebook belongs to daily life, but may impair subjective well-being. The present experimental study investigated the potential beneficial impact of reduction of daily Facebook use. Participants were Facebook users from Germany. While the experimental group (N = 140; Mage(SDage) = 24.15 (5.06)) reduced its Facebook use for 20 min daily for two weeks, the control group (N = 146; Mage(SDage) = 25.39 (6.69)) used Facebook as usual. Variables of Facebook use, life satisfaction, depressive symptoms, physical activity and smoking behavior were assessed via online surveys at five measurement time points (pre-measurement, day 0 = T1; between-measurement, day 7 = T2; post-measurement, day 15 = T3; follow-up 1, one month after post-measurement = T4; follow-up 2, three months after post-measurement = T5). The intervention reduced active and passive Facebook use, Facebook use intensity, and the level of Facebook Addiction Disorder. Life satisfaction significantly increased, and depressive symptoms significantly decreased. Moreover, frequency of physical activity such as jogging or cycling significantly increased, and number of daily smoked cigarettes decreased. Effects remained stable during follow-up (three months). Thus, less time spent on Facebook leads to more well-being and a healthier lifestyle.
Introduction:
Young adults have the highest prevalence of smoking among all age groups in most industrialized countries, and exhibit great variability in smoking behaviour. Differences in associations between features in residential environments and smoking initiation, prevalence, and cessation have been extensively examined in the literature. Nonetheless, in many cases findings remain inconsistent. This paper proposes that a potential driver of these inconsistencies is an almost exclusive focus on point-specific smoking outcomes, without consideration for the different behaviour patterns that this age group may experience over time.
Methods:
Based on data from the Interdisciplinary Study of Inequalities in Smoking cohort of 18-25 year-old Montreal residents (n=1025), we examined associations between 4-year smoking patterns measured at three time-points and proximal presence/density of tobacco retail and presence of smoker accommodation facilities in Montreal, Canada. Associations were tested using 2-level multinomial and logistic models.
Results:
In fully-adjusted models, compared to never smokers, residents of areas with a higher density of tobacco retail were more likely to 1) be characterized as established smokers, 2) have experienced repeated changes in smoking status (being "switchers") during the 4-year study period, and 3) be former smokers.
Conclusions:
From a conceptual standpoint, these findings highlight the importance of acknowledging and examining smoking behaviour patterns among young adults. Furthermore, specific pattern-feature associations may point to unique mechanisms by which features could influence smoking behaviour patterns. These findings require replication and extension, including testing hypotheses regarding tobacco retail density's role in sustaining smoking and in influencing changes in smoking status.
Background:
This 3-year longitudinal study investigated the prospective relationships between mobile phone dependence and mental health status (i.e., subjective well-being, anxiety and depression) and the mediating role of college adjustment among Chinese undergraduate students.
Methods:
The study recruited 265 first-year undergraduate students from a university (mean age = 18.95 years, SD = 0.72) in Wenzhou, China. A baseline survey and two follow-up surveys were conducted between November 2013 and December 2015 (the response rate was 76.4%). The validated Mobile Phone Addiction Tendency Scale (MPATS), Chinese College Student Adjustment Scale (CCSAS), Index of Well-being, Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) were used for assessments.
Results:
The prevalence of anxiety and depression at Year 3 was 7.5% and 9.4%, respectively. Correlation analyses showed that mobile phone dependence at Year 1, college adjustment at Year 2, and mental health status at Year 3 were significantly correlated with each other. Structural equation modeling analyses showed that mobile phone dependence at Year 1 significantly predicted poor mental health status at Year 3. College adjustment at Year 2 significantly mediated the effect of mobile phone dependence at Year 1 on mental health status at Year 3.
Conclusions:
Interventions both on reduction of mobile phone dependency and improvement of college adjustment (especially among those with mobile phone dependence) are possible and needed among new college students to prevent their future depression and anxiety. Such interventions should be incorporated into regular education programs in universities.
Background:
Prolonged screen time has negative impacts on health and well-being. This study examined the association between the duration of mobile phone use (DMPU) and depressive symptoms in a large sample of Chinese adolescents.
Methods:
11,831 adolescent students participated in the baseline Shandong Adolescent Behavior and Health Cohort (SABHC) survey in Shandong, China in 2015. A self-administered questionnaire was used to measure DMPU on weekdays and the weekend, sleep, mental health, and family environment. The Center for Epidemiologic Studies Depression Scale (CES-D) and Youth Self-Report (YSR) depression scales were used to assess depressive symptoms.
Results:
The mean age of participants was 15.0 (SD = 1.5) and 51% were male. The prevalence of depressive symptoms increased with prolonged DMPU. After adjusting for adolescent and family covariates, DMPU ≥ 2 h/day on weekdays (OR = 1.78, 95%CI = 1.48-2.15) and ≥ 5 h/day on the weekend (OR = 1.67, 95%CI = 1.41-1.98) was associated with increased risk of depressive symptoms as assessed by CES-D. The DMPU-depression association was found to be partially mediated by short sleep duration or insomnia. Similar associations were observed for depression as assessed by YSR.
Study limitation:
This is a cross-sectional survey. Mobile phone use and depressive symptoms were measured by self-report.
Conclusions:
Prolonged mobile phone use of ≥ 2 h on weekdays and ≥ 5 h on the weekend is associated with an increased risk of depressive symptoms. The association appears to be partially mediated by sleep disturbances.
Purpose: To investigate the relationship between smartphone use, television viewing, and the “active couch potato” in sufficiently active adults. Methods: A sample of 328 sufficiently active adults aged 18 to 80 years (mean ± SD = 38 ± 15 years) completed surveys assessing smartphone use, television viewing, physical activity, and sedentary behavior. Active couch potatoes were defined as individuals who met physical activity guidelines and engaged in 8 or more hours per day of sedentary behavior. Results: Mean smartphone use was 4.04 ± 3.74 hours per day. There were 128/328 (39%) participants coded as active couch potatoes. Active couch potato was significantly positively (Wald = 7.326, P = .007) associated with smartphone use. Being an active couch potato was not (Wald = 0.658, P = .417) associated with television viewing. Sedentary behavior and smartphone use were significantly greater ( t ≥ 3.55, P < .001) among active couch potatoes (11.35 ± 3.25 hours sitting per day, 4.95 ± 4.5 hours smartphone use per day) than sufficiently active, nonsedentary individuals (5.06 ± 1.64 hours sitting per day, 3.45 ± 3.04 hours smartphone use per day). Conclusion: In sufficiently active adults, smartphone use predicted being an active couch potato and television viewing did not.
Purpose:
The aim of the study was to determine the short-term longitudinal pathways between smartphone use, smartphone dependency, depressive symptoms, and loneliness among late adolescents.
Methods:
A two-wave longitudinal survey was used using adolescents between the ages of 17 and 20 years. The interval between wave 1 and wave 2 was between 2.5 and 3 months. Using convenience sampling, the total number of participants who completed both waves of data collection was 346. Validated measures assessed smartphone dependency, smartphone use, depressive symptoms, and loneliness. The longitudinal model was tested using path modeling techniques.
Results:
Among the 346 participants (33.6% male, mean [standard deviation] age at wave 1, 19.11 [.75] years, 56.9% response rate), longitudinal path models revealed that wave 1 smartphone dependency predicted loneliness (β = .08, standard error [SE] = .05, p = .043) and depressive symptoms (β = .11, SE = .05, p = .010) at wave 2, loneliness at wave 1 predicted depressive symptoms at wave 2 (β = .21, SE = .05, p < .001), and smartphone use at wave 1 predicted smartphone dependency at wave 2 (β = .08, SE = .05, p = .011).
Conclusions:
Considering the rates of smartphone ownership/use among late adolescents (95%), the association between smartphone use and smartphone dependency, and the deleterious effects of loneliness and depression within this population, health practitioners should communicate with patients and parents about the links between smartphone engagement and psychological well-being.
Introduction:
Studies have found that increased mobile phone use (MPU) is associated with multiple health issues such as depression, disordered sleep and pain. However, the current situation and interrelationships of these problems remain unexplored in the Hong Kong population.
Objectives:
This study aimed to understand the situation and problematic use of mobile phones by Hong Kong secondary school students and to investigate depressive symptoms, bodily pain and daytime sleepiness and the associations of these factors with MPU in Hong Kong secondary school students.
Methods:
This quantitative cross-sectional design study was based on self-administered questionnaires completed at five secondary schools. The questionnaire comprised five sections: MPU as measured by the Chinese version of the 10-Item Mobile Phone Problem Use Scale (CMPPUS-10); depressive symptoms according to the Depression Anxiety Stress Scale-21 Chinese Version (DASS-21); bodily pain according to the Brief Pain Inventory Short Form Chinese (BPISF-C); daytime sleepiness as measured using the Chinese version of the Epworth Sleepiness Scale (CESS) and socio-demographic questions.
Results:
A total of 686 students were recruited. The CMPPUS-10 score correlated positively with the average daily duration of MPU and the presence of depression, daytime sleepiness and bodily pain. Problematic mobile phone users received significantly higher scores for depression severity, bodily pain and daytime sleepiness. Health problems were significantly more severe in female than in male students. Bodily pain and daytime sleepiness mediated the relationship of MPU with depression.
Conclusions:
Problematic MPU was associated with depression, bodily pain and daytime sleepiness. These findings will inform further studies of MPU-related health problems.
In the present paper, we examine the literature studying relations between problematic smartphone use (PSU) and anxiety symptom severity. We first present background on the health advantages and disadvantages of using a smartphone. Next, we provide caveats in distinguishing healthy smartphone use from unhealthy PSU, and we discuss how PSU is measured. Additionally, we discuss theoretical frameworks explaining how some people develop PSU, including Uses and Gratifications Theory, and Compensatory Internet Use Theory. We present our own theoretical model of how PSU is specifically related to anxiety. We discuss and review mental health constructs associated with PSU severity, based on prior literature. Next, we systematically review the research on PSU severity in relation to anxiety symptoms, given the recent growth of studies on this research question. Finally, we offer implications and recommendations for future research in this area.
with psychopathology-related and technology use measures. We carried out an internet-based survey with 296
undergraduate participants and administered self-report questionnaires of FOMO, frequency and type of
smartphone use, problematic smartphone use (PSU), and scales of negative affectivity including depression,
anxiety, stress, proneness to boredom, and rumination. The results demonstrated that FOMO was related to
demographic characteristics (age, sex, race, and relationship status) but with small effect sizes. FOMO was
related to all measures of negative affectivity, social use of a smartphone, as well as the severity of PSU. Tests of
mediation indicated that each negative affectivity construct mediated the relationship between FOMO and PSU
severity, and only rumination mediated relations between FOMO and smartphone use frequency. When reversing
the predictor and mediating variables, FOMO mediated relations between negative affectivity and PSU
severity. Finally, results demonstrated some support for a single-factor latent construct for FOMO, but male and
female participants had a different pattern of factor loadings. Negative affectivity may be a key mechanism by
which FOMO may drive PSU, but future research should clarify the directionality among these variables. Genderrelated
social connectedness differences characterize FOMO.
Physical activity has regularly been demonstrated to be a protective factor against stressful experiences. The present study investigated whether physical activity buffers the association between daily stress and Facebook Addiction Disorder (FAD) over a period of one year (first measurement time point, T1: October 2016; second measurement time point, T2: October 2017). In a sample of 122 German Facebook users (82.8% women; age at T1: M = 21.70, SD = 3.67, range: 17–38), physical activity at T1 mediated the significant positive relationship be-tween chronic daily stress at T1 and FAD at T2 (total effect: p = .036; direct effect: p = .164). Furthermore, at T2, FAD was significantly negatively associated with positive mental health (i.e., high level of emotional, social, and psychological well-being). The current study provides first longitudinal results of possible risk associated with and potential protective factors of FAD. These results demonstrated that this addictive behavior is positively related to chronic daily stress and negatively related to physical activity. Practical applications for future studies and limitations of the present results are discussed.
In two nationally representative surveys of U.S. adolescents in grades 8 through 12 (N = 506,820) and national statistics on suicide deaths for those ages 13 to 18, adolescents’ depressive symptoms, suicide-related outcomes, and suicide rates increased between 2010 and 2015, especially among females. Adolescents who spent more time on new media (including social media and electronic devices such as smartphones) were more likely to report mental health issues, and adolescents who spent more time on nonscreen activities (in-person social interaction, sports/exercise, homework, print media, and attending religious services) were less likely. Since 2010, iGen adolescents have spent more time on new media screen activities and less time on nonscreen activities, which may account for the increases in depression and suicide. In contrast, cyclical economic factors such as unemployment and the Dow Jones Index were not linked to depressive symptoms or suicide rates when matched by year.
Background
A potential approach to suicide prevention that has not been closely examined, but which holds promise in terms of widespread dissemination without major side-effects, is physical activity (PA). This systematic review and meta-analysis set out to: (a) explore associations between PA and suicidal ideation (SI) levels, and (b) investigate the effect of PA interventions on SI.
Methods
Major electronic databases were searched from inception up to 05/2017 to identify quantitative studies reporting an association between PA and SI. A quantitative correlates synthesis and random effects meta-analysis were conducted.
Results
Fourteen of 21 studies in adults (67%) (n=130,737), 7/14 (50%) in adolescents (n=539,170) and 2/3 (67%) in older adults (n=50,745) found a significant negative association between PA- and SI-levels. Pooled adjusted meta-analysis of 14 effect sizes over eight studies and 80,856 people found that those who were “active” versus those who were “inactive” were less likely to have SI (OR=0.87, 95%CI=0.76–0.98). Additionally, meeting PA guidelines conferred a significant protective effect against SI (OR=0.91, 95%CI=0.51–0.99, P=0.03; N studies=3, n people=122,395), while not meeting guidelines was associated with increased SI (OR=1.16, 95%CI=1.09–1.24, P<0.001; N=4, n=78,860). Data from the intervention studies (N=3, n=121) was mixed and limited.
Limitations
Our findings are based mainly on cross-sectional studies, while the majority of studies did not include a rigorous physical activity assessment.
Conclusions
The current study suggests that higher PA levels are associated with lower SI. However, the associations observed need to be confirmed in prospective observational studies and controlled trials.
Objective:
To quantify the relationships between youth use of television (TV) and other screen devices, including smartphones and tablets, and obesity risk factors.
Study design:
TV and other screen device use, including smartphones, tablets, computers, and/or videogames, was self-reported by a nationally representative, cross-sectional sample of 24 800 US high school students (2013-2015 Youth Risk Behavior Surveys). Students also reported on health behaviors including sugar-sweetened beverage (SSB) intake, physical activity, sleep, and weight and height. Sex-stratified logistic regression models, adjusting for the sampling design, estimated associations between TV and other screen device use and SSB intake, physical activity, sleep, and obesity.
Results:
Approximately 20% of participants used other screen devices for ≥5 hours daily. Watching TV ≥5 hours daily was associated with daily SSB consumption (aOR = 2.72, 95% CI: 2.23, 3.32) and obesity (aOR = 1.78, 95% CI: 1.40, 2.27). Using other screen devices ≥5 hours daily was associated with daily SSB consumption (aOR = 1.98, 95% CI: 1.69, 2.32), inadequate physical activity (aOR = 1.94, 95% CI: 1.69, 2.25), and inadequate sleep (aOR = 1.79, 95% CI: 1.54, 2.08).
Conclusions:
Using smartphones, tablets, computers, and videogames is associated with several obesity risk factors. Although further study is needed, families should be encouraged to limit both TV viewing and newer screen devices.
Smartphones deliver light to users through Light Emitting Diode (LED) displays. Blue light is the most potent wavelength for sleep and mood. This study investigated the immediate effects of smartphone blue light LED on humans at night. We investigated changes in serum melatonin levels, cortisol levels, body temperature, and psychiatric measures with a randomized, double-blind, cross-over, placebo-controlled design of two 3-day admissions. Each subject played smartphone games with either conventional LED or suppressed blue light from 7:30 to 10:00PM (150 min). Then, they were readmitted and conducted the same procedure with the other type of smartphone. Serum melatonin levels were measured in 60-min intervals before, during and after use of the smartphones. Serum cortisol levels and body temperature were monitored every 120 min. The Profile of Mood States (POMS), Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS), and auditory and visual Continuous Performance Tests (CPTs) were administered. Among the 22 participants who were each admitted twice, use of blue light smartphones was associated with significantly decreased sleepiness (Cohen's d = 0.49, Z = 43.50, p = 0.04) and confusion-bewilderment (Cohen's d = 0.53, Z = 39.00, p = 0.02), and increased commission error (Cohen's d = −0.59, t = −2.64, p = 0.02). Also, users of blue light smartphones experienced a longer time to reach dim light melatonin onset 50% (2.94 vs. 2.70 h) and had increases in body temperature, serum melatonin levels, and cortisol levels, although these changes were not statistically significant. Use of blue light LED smartphones at night may negatively influence sleep and commission errors, while it may not be enough to lead to significant changes in serum melatonin and cortisol levels.
Most people use Facebook on a daily basis; few are aware of the consequences. Based on a 1-week experiment with 1,095 participants in late 2015 in Denmark, this study provides causal evidence that Facebook use affects our well-being negatively. By comparing the treatment group (participants who took a break from Facebook) with the control group (participants who kept using Facebook), it was demonstrated that taking a break from Facebook has positive effects on the two dimensions of well-being: our life satisfaction increases and our emotions become more positive. Furthermore, it was demonstrated that these effects were significantly greater for heavy Facebook users, passive Facebook users, and users who tend to envy others on Facebook.
Exposure to nicotine in electronic cigarettes (e-cigarettes) is becoming increasingly common among adolescents who report never having smoked combustible tobacco.
To evaluate whether e-cigarette use among 14-year-old adolescents who have never tried combustible tobacco is associated with risk of initiating use of 3 combustible tobacco products (ie, cigarettes, cigars, and hookah).
Longitudinal repeated assessment of a school-based cohort at baseline (fall 2013, 9th grade, mean age = 14.1 years) and at a 6-month follow-up (spring 2014, 9th grade) and a 12-month follow-up (fall 2014, 10th grade). Ten public high schools in Los Angeles, California, were recruited through convenience sampling. Participants were students who reported never using combustible tobacco at baseline and completed follow-up assessments at 6 or 12 months (N = 2530). At each time point, students completed self-report surveys during in-classroom data collections.
Student self-report of whether he or she ever used e-cigarettes (yes or no) at baseline.
Six- and 12-month follow-up reports on use of any of the following tobacco products within the prior 6 months: (1) any combustible tobacco product (yes or no); (2) combustible cigarettes (yes or no), (3) cigars (yes or no); (4) hookah (yes or no); and (5) number of combustible tobacco products (range: 0-3).
Past 6-month use of any combustible tobacco product was more frequent in baseline e-cigarette ever users (n = 222) than never users (n = 2308) at the 6-month follow-up (30.7% vs 8.1%, respectively; difference between groups in prevalence rates, 22.7% [95% CI, 16.4%-28.9%]) and at the 12-month follow-up (25.2% vs 9.3%, respectively; difference between groups, 15.9% [95% CI, 10.0%-21.8%]). Baseline e-cigarette use was associated with greater likelihood of use of any combustible tobacco product averaged across the 2 follow-up periods in the unadjusted analyses (odds ratio [OR], 4.27 [95% CI, 3.19-5.71]) and in the analyses adjusted for sociodemographic, environmental, and intrapersonal risk factors for smoking (OR, 2.73 [95% CI, 2.00-3.73]). Product-specific analyses showed that baseline e-cigarette use was positively associated with combustible cigarette (OR, 2.65 [95% CI, 1.73-4.05]), cigar (OR, 4.85 [95% CI, 3.38-6.96]), and hookah (OR, 3.25 [95% CI, 2.29-4.62]) use and with the number of different combustible products used (OR, 4.26 [95% CI, 3.16-5.74]) averaged across the 2 follow-up periods.
Among high school students in Los Angeles, those who had ever used e-cigarettes at baseline compared with nonusers were more likely to report initiation of combustible tobacco use over the next year. Further research is needed to understand whether this association may be causal.
Unlabelled:
This study aimed to examine differences in muscle activity between young people with and without neck-shoulder pain (n = 20 in each group), when they performed texting on a smartphone. Texting was compared between using both hands ('bilateral texting') and with only one hand ('unilateral texting'). Texting tasks were also compared with computer typing. Surface electromyography from three proximal postural muscles and four distal hand/thumb muscles on the right side was recorded. Compared with healthy controls, young people with neck-shoulder pain showed altered motor control consisting of higher muscle activity in the cervical erector spinae and upper trapezius when performing texting and typing tasks. Generally, unilateral texting was associated with higher muscle loading compared with bilateral texting especially in the forearm muscles. Compared with computer typing, smartphone texting was associated with higher activity in neck extensor and thumb muscles but lower activity in upper and lower trapezius as well as wrist extensors.
Practitioner summary:
This study demonstrated that symptomatic individuals had increased muscle activity in the neck–shoulder region when texting on a smartphone. Contemporary ergonomic guidelines should include advice on how to interact with handheld electronic devices to achieve a relaxed posture and reduced muscle load in order to reduce the risk of musculoskeletal disorders.
Presents the development of a German version of the "Balanced Inventory of Desirable Responding" (Paulhus, 1994), a two-factor inventory for the measurement of socially desirable responding. The final version consists of two scales with 10 items each. The inventory measures two distinguishable components of social desirability: self-deceptive enhancement and impression management. In three cross-validation studies, both subscales showed satisfactory psychometric qualities, a clear two-factorial loading structure and good convergent and discriminant validity.