The exponential growth in worldwide smartphone adoption has led to mounting concerns about problematic smartphone use (PSU), with some studies of variably defined PSU yielding prevalence rates as high as 20 to 30%. The present study aims to (a) estimate the prevalence of PSU while emphasizing functional impairment, and (b) examine the degree to which a set of demographic, contextual, behavioral and mental health variables can predict PSU. A representative U.S. sample of 1,989 participants completed an online survey using a cross-sectional design aimed at examining PSU. Data were analyzed using two different but complementary machine learning algorithms. The results indicate a PSU prevalence of 0.75% to 1.2 % when a functional impairment criterion is required. The most important predictors of PSU are related to smartphone use behavior, followed by contextual factors (being a parent of under-age children, increase in use during the COVID-19 pandemic), age and some psychopathological factors. Overall, the study suggests that the prevalence of functionally impairing PSU may be much lower than what has been reported based on less stringent definitions. The results highlight the necessity to account for impact on key spheres of functioning in diagnosing PSU to avoid pathologizing a ubiquitous behavior that may be intensive but not necessarily pathological. They also open up relevant perspectives for the prevention of PSU.

Despite a consensus on the negative implications of problematic internet use (PIU) for mental health, there is a notable gap in research concerning older demographics, particularly older teachers. This study aimed to investigate the prevalence of PIU and its impact on the mental wellbeing of this population.

Three sub-studies were conducted: Study 1 (2020) investigated how fear induced by COVID-19 influenced PIU and psychological distress among 3,929 older teachers. Study 2 (2021) examined the effects of PIU on psychological needs thwarting (the frustration of basic psychological needs) and psychological distress, involving 3,502 participants. Study 3 (2022) explored the impact of PIU on occupational burnout and psychological distress, with 1,276 participants. The Generalized Linear Model in Jamovi 2.3.23 was used to evaluate the three mediation models.

The three sub-studies revealed a high prevalence of PIU among older teachers (27.4% in Study 1, 27.4% in Study 2, and 24.5% in Study 3). High levels of PIU were associated with elevated psychological distress during the 3 years of the COVID-19 pandemic. In Study 1, fear of COVID-19 indirectly influenced psychological distress through PIU as a mediator. In Studies 2 and 3, respectively, psychological needs thwarting and occupational burnout mediated the relationship between PIU and psychological distress.

This study confirmed the high prevalence of PIU among older school teachers and the detrimental effect of PIU on psychological needs thwarting, occupational burnout, and psychological distress. Given these findings, education authorities and school management should take proactive steps to mitigate PIU and ensure the health and wellbeing of older teachers.

To analyze the relationship between life satisfaction and learning burnout, and explore the mediating effect of mobile phone addiction and psychological capital, and to provide a theoretical basis for the study of measures for medical postgraduate students to maintain a positive psychological state and keep interest and enthusiasm in academic life.

Convenience cluster sampling was used to recruit 628 medical postgraduate students in Chongqing, China. The Learning Burnout Questionnaire (LBQ), life satisfaction self-rated item, Mobile Phone Addiction Tendency Scale (MPATS), and the Psychological Capital Questionnaire (PCQ) were used to examine participants. Hierarchical regression was used to analyze the effect of life satisfaction, mobile phone addiction, and psychological capital on learning burnout. A structural equation model (SEM) with maximum likelihood was used to evaluate the mediating effect of mobile phone addiction and psychological capital on the relationship between life satisfaction and learning burnout. The bootstrap method was used to confirm the significance of the mediating effect.

The average learning burnout score was (55.81±10.55). Results of hierarchical regression revealed that life satisfaction and psychological capital had a significant negative predictive effect on learning burnout, and mobile phone addiction had a positive predictive effect on learning burnout (p<0.05). The SEM revealed that the total and direct effects of life satisfaction on learning burnout were significant, and the mediating effects of mobile phone addiction and psychological capital between life satisfaction and learning burnout were significant (p<0.05).

Life satisfaction is a direct predictor of learning burnout among Chinese medical postgraduate students, and this relationship is mediated by mobile phone addiction and psychological capital.

There is a deterioration in the quality of life (QoL) of survivor victims of warlike conflicts. Because there is a need to guarantee the effectiveness of assessment tools for these populations, we studied the adequacy of the World Health Organization Quality of Life Questionnaire (WHOQoL-BREF) to assess the QoL of 1,136 surviving victims of the armed conflict in Colombia. Although this questionnaire has yielded promising results, questions remain about its psychometric suitability for specific populations. We used model modification at the item level, comparisons of models with different factor structures, and dimensionality analysis to address the psychometric problems encountered. Dimensionality analysis using a bifactor model suggests that WHOQoL-BREF total scores might be a more appropriate way of reporting results when model fit adequacy is not reached. Conclusions are offered on the psychometric properties of the WHOQoL-BREF, the evaluation of special populations, and possible strategies to address future questionnaire modifications.

Weight status, weight stigma, and internet use are important factors impacting quality of life (QoL). However, little is known regarding how these factors interact in their association with QoL, and it is important to understand how self-perceived obesity and body mass index (BMI)-defined obesity may differentially impact QoL. We aimed to assess the associations between weight status (obesity vs. non-obesity, including both self-perceived and BMI-defined), weight stigma, internet use, and QoL. Cross-sectional data from the Taiwan Social Change Survey (N = 1604; mean age = 49.22; 52.93 % women) were used. All participants were classified as having obesity or not having obesity according to both self-perceived (self-perceived as 'too fat') and BMI-defined (≧27 kg/m2 as obesity) weight status. Results showed that the group with obesity (both BMI-defined and self-perceived) had significantly more internet time and lower physical QoL than the group without obesity. Those with self-perceived obesity, but not those with BMI-defined obesity, sought health information via the internet and used social media significantly more than the group without obesity. More internet time was associated with worse physical and mental QoL for the group with obesity regardless of BMI-defined or self-perceived status. Moreover, weight stigma was associated with worse mental QoL for the group with self-perceived obesity, but not for the group with BMI-defined obesity. Accordingly, being a person with obesity (self-defined, or based upon BMI) was associated with more internet time and poorer QoL. People with self-perceived obesity may have increased experience of weight stigma and greater internet use, factors that may contribute to their impaired QoL.

The prolonged stress experience caused by the COVID-19 pandemic and two earthquakes led to increased alcohol and psychoactive substance use (PSU) accompanied by a decrease in mental wellbeing and quality of life (QoL) in the Croatian population. Our aim was to determine the relationship between alcohol and PSU and mental health outcomes including anxiety and depression, and QoL.

A cross-sectional online survey conducted from September 30 to October 27, 2021, included 1,118 Croatian adults (220 men and 898 women; mean age, 35.1 ± 12.3 years) recruited through non-probabilistic convenience sampling. The survey consisted of a self-reported questionnaire on PSU, the CAGE Alcohol Questionnaire, the Hospital Anxiety Depression Scale, and the World Health Organization Quality of Life (WHOQoL)-BREF. Structural equation modeling was used to evaluate the association between PSU, problematic alcohol use (PAU), mental health outcomes, and QoL.

The model demonstrated a good fit and indicated that PSU increase, PAU, and anxiety and depression symptoms significantly explained all QoL domains (p < 0.001 for all). Both PSU increase and PAU during prolonged stress were directly associated with decreased QoL. These relationships were also indirectly mediated through increased anxiety and depression symptoms.

These results showed the need to direct public health interventions and treatment interventions during and after long-term stress (pandemics and earthquakes) to reduce the negative impact on substance use and QoL by reducing depression and anxiety, which ultimately may contribute to better wellbeing and rapid recovery of individuals affected by prolonged stress.

Background This study aims to investigate the prevalence of thumb and wrist pain among smartphone users in the general population of Saudi Arabia, examining the potential links between the duration and frequency of smartphone usage, specific smartphone activities, and the occurrence of discomfort in the thumb and wrist. Methodology This descriptive cross-sectional study was conducted at Jazan University, Saudi Arabia, between July 2022 and June 2023. The questionnaire developed following an extensive literature review, covered demographic information, smartphone usage patterns, assessment of thumb or wrist pain, and evaluation of the impact of this discomfort. Descriptive statistical methods were employed, and relationships between thumb or wrist pain and demographic variables were analyzed using chi-square and Wilcoxon rank-sum tests. Results In total, 811 participants were included in this study. Approximately 322 (39.7%) study participants reported wrist or thumb pain. Notably, female sex (P = 0.001) and prolonged daily smartphone usage exceeding five hours (P = 0.045) were linked to thumb or wrist pain. Additionally, emailing on smartphones was linked to thumb or wrist pain (P = 0.04). Concerning smartphone ergonomics, the majority of respondents reported holding their phones with one hand (215, 66.77%), in a downward position (290, 90.06%), and with their wrists bent downward (136, 42.24%). Conclusions Our study highlights a relatively high prevalence of wrist and thumb pain among smartphone users in the general Saudi Arabian population. Furthermore, we identified a connection between prolonged smartphone use and wrist and thumb pain, with a more pronounced prevalence observed among females.

Despite the serious influence of problematic Internet use on mental health among Japanese adolescents, no randomized clinical trials have investigated universal school-based interventions for this potential health challenge. Therefore, this study aimed to assess the efficacy of a school-based educational program. This two-armed, parallel, cluster-based randomized clinical trial included 5312 students from 13 high schools situated in a mid-sized Japanese city. The students in the intervention arm received 10 weekly standardized sessions, including a combination of information provision and interactive sessions by schoolteachers. The students in the control group followed a standard school curriculum. A generalized estimating equation model was applied to assess the primary (Korean Scale for Internet Addiction [K-scale] score) and secondary (behavioral change status according to changes in the transtheoretical model smartphone addiction score and Internet usage time) outcomes two months after intervention completion. The intention-to-treat analysis included 2597 (97.2%) and 2504 (94.9%) students in the intervention and control groups, respectively. Nevertheless, a significant discrepancy emerged regarding the behavioral change status. Therefore, this school-based program did not improve the Internet or smartphone addiction scores among Japanese adolescents. Further studies are needed to develop appropriate interventions for adolescents.

Health benefits have been linked with physical activity (PA), as well as some domains of PA among youth (e.g. organized PA and active transport). However, less is known about whether some PA domains are more beneficial than others. There is also a lack of evidence about whether health outcomes are related to the composition of PA (i.e. the share of PA spent in different domains). This study aimed to identify: (1) how the absolute durations of organized PA, non-organized PA, active transport and active chores/work at 10-11y are individually associated with physical, psychosocial and total health-related quality of life (HRQOL) at 10-11y and 12-13y; and (2) how the domain-specific composition of PA at 10-11y is associated with HRQOL at 10-11y and 12-13y.

Data from the Longitudinal Study of Australian Children were used in cross-sectional (n ≥ 2730) and longitudinal analyses (n ≥ 2376). Measurement included the Pediatric Quality of Life Inventory (PedsQL™) for HRQOL domains and one-day time-use diaries (TUDs) for PA domains. Robust linear regression models were used, controlling for age, sex, pubertal status, socioeconomic position, body mass index and TUD context (season and school attendance). Compositional models additionally adjusted for total PA duration and longitudinal models controlled for baseline PedsQL™ scores.

Non-compositional models indicated that the duration of organized PA, and to a lesser extent non-organized PA, were positively but weakly associated with some HRQOL outcomes at 10-11y. These trends were not reflected in longitudinal models, although a 30-min increase in non-organized PA per day did predict marginally better psychosocial HRQOL at 12-13y (+ 0.17%; 95%CI =  + 0.03%, + 0.32%). Compositional models revealed that a 30-min increase in organized PA relative to other domains was positively but weakly associated with physical (+ 0.32%; 95%CI =  + 0.01%, + 0.63%), psychosocial (+ 0.41%; 95%CI =  + 0.11%, + 0.72%) and total HRQOL (+ 0.39%; 95%CI =  + 0.12%, + 0.66%) at 10-11y. However, the overall PA composition at 10-11y was not related to HRQOL at 12-13y.

Non-compositional and compositional models generally concurred on the direction of cross-sectional and longitudinal relationships (and lack thereof) between PA domains and HRQOL outcomes. The strongest associations were cross-sectional between organized PA and HRQOL at 10-11y. However, all associations between PA domains and HRQOL outcomes were weak and may not be clinically meaningful.

In recent years, the use of the internet among children and adolescents has dramatically increased, leading to growing concerns regarding the potential risks of excessive internet use and addiction. Addressing these concerns, this systematic review aims to summarize current evidence on the effectiveness of treatment interventions for internet addiction among children and adolescents.

We performed a systematic review using PubMed, Web of Science, PsycInfo, and Google Scholar with search terms including "internet addiction", "problematic internet use", "children" or "adolescents", "treatment" and "randomized controlled trial". We found 10 Randomized Controlled Trials (RCTs) meeting the criteria and included them in this systematic review.

This systematic review analyzed 10 randomized controlled trials focused on treatment interventions for internet addiction in adolescents and young adults. The interventions used were diverse, including cognitive-behavioral therapy (CBT), medication, electro-acupuncture (EA), and solution-focused approaches. The measures used to assess the effectiveness of the interventions also varied, but most studies reported moderate to large effect sizes for at least some outcomes. Overall, the studies suggest that interventions such as CBT and EA can be effective in reducing symptoms of internet addiction, internet gaming disorder, and unspecified internet use disorders. School-based programs and brief manualized CBT programs also show promise, though more research is needed to determine their long-term effectiveness.

Promising treatment approaches for internet addiction are emerging, but inconsistencies in conceptualization, language, and diagnostic criteria present some challenges. The growing recognition of problematic internet use, as shown by the DSM-5's recognition of Internet Gaming Disorder, highlights the need for a multidisciplinary approach and standardized criteria to facilitate accurate reporting across studies. Continued research is needed to identify effective treatments and diagnostic criteria for internet addiction, with the potential to offer practical insights into effective medications and therapies.

The influence of mobile phone addiction (MPA) on physical exercise in university students was explored, and peer relationships were introduced as a moderating variable.

A cross-sectional study design was adopted, and an online survey questionnaire was conducted to investigate two universities in Nantong City, Jiangsu Province, and Chongzuo City, Guangxi Zhuang Autonomous Region. A total of 4959 university students completed the questionnaire. Measurement tools included the Mobile Phone Addiction Tendency Scale, the Physical Activity Rating Scale, and the Peer Rating Scale of university students.

University students scored 39.322 ± 15.139 for MPA and 44.022 ± 7.735 for peer relationships, with 87.8% of their physical exercise, in terms of exercise grade, being classified as medium or low intensity. The MPA of the university students was negatively correlated with peer relationships (r = -0.377, p < 0.001) and physical exercise behavior (r = -0.279, p < 0.001). The moderating effect of peer relationships on the MPA-physical exercise behavior relationship was significant (ΔR2 = 0.03, p < 0.001).

The physical exercise of university students was at a medium or low intensity. The more serious the university students' addiction to mobile phones was, the lower the amount of physical exercise. The physical activity of males was higher than that of females. MPA and peer relationships were the limiting factors of the physical exercise behavior of university students. Under the lower effect of peer relationship regulation, MPA had a greater negative impact on physical exercise behavior. The data from this research can provide theoretical support to improve the participation of university students in physical activities.

(1) The aim of this study was to estimate the scale of mobile phone addiction among young adults as well as to establish whether the low level of perceived social support is related to problematic smartphone use, and whether an addictive pattern of mobile phone use is related to the prevalence of depressiveness and excessive daytime sleepiness. (2) The study was carried out using the diagnostic poll method via the questionnaire technique. Both the author's own questionnaire and the following standardized research tools were used: the Mobile Phone Problem Use Scale for Adolescents (MPPUSA), the Beck Depression Inventory (BDI), the Epworth Sleepiness Scale (ESS), and the Multidimensional Scale of Perceived Social Support (MSPSS). (3) Perceived social support was significantly lower in the group of respondents who problematically used their mobile phones in comparison with the ones who used them in a proper way. Severity of depressive symptoms and daytime sleepiness was significantly higher in respondents addicted to their mobiles compared to nonaddicted ones. (4) Conclusions: An important correlation between phone addiction and the prevalence of depressive symptoms and excessive daytime sleepiness exists. Problematic mobile phone use concerns individuals with low levels of perceived social support.

The widely used socioecological rainbow model from Dahlgren and Whitehead specifies determinants of health inequity on multiple hierarchical levels and suggests that these determinants may interact both within and between levels. At the time of its inception, digital determinants only played a minor role in tackling inequities in public health and were therefore not specifically considered. This has dramatically changed: From today's perspective, health inequities increasingly depend on digital determinants. In this article, we suggest adapting the Dahlgren-Whitehead model to reflect these developments. We propose a model that allows formulating testable hypotheses, interpreting research findings, and developing policy implications against the background of the global spread of digital technologies. This may facilitate the development of a new line of research and logic models for public health interventions in the digital age. Using the COVID-19 pandemic as a case study, we illustrate how the digitization of all aspects of life affects the different levels of determinants of health inequities in the Dahlgren-Whitehead model. In doing so, we deliberately argue for not introducing a separate digital sphere in its own right, but for understanding digitization as a phenomenon that permeates all levels of determinants of health inequities. As a result, we present a digital rainbow model that integrates Dahlgren and Whitehead's 1991 model with digital environments to identify current health promotion and research issues without changing the rainbow model's initial structure.

Cognitive function and health-related quality of life (HRQoL) are important issues in diabetes care. According to the China Association for Aging, it is estimated that by 2030, the number of elderly people with dementia in China will reach 22 million. The World Health Organization reports that by 2044, the number of people with diabetes in China is expected to reach 175 million.

Cohort analyses were conducted based on 854 diabetic patients aged ≥45 years from the third (2015) and fourth (2018) survey of the China Health and Retirement Longitudinal Study (CHARLS). Correlation analysis, repeated-measures variance analysis, and cross-lagged panel models were used to measure the difference in digital usage behavior in the established relationship.

The results show that the cognitive function of middle-aged and older diabetic patients is positively correlated with HRQoL. HRQoL at T1 could significantly predict cognitive function at T2 (PCS: B = 0.12, p < 0.01; MCS: B = 0.14, p < 0.01). This relationship is more associated with individual performance than digital usage behavior.

Unidirectional associations may exist between cognitive function and HRQoL among middle-aged and older Chinese diabetes patients. In the future, doctors and nurses can recognize the lowering of self-perceived HRQoL of middle-aged and older diabetic patients, and thus draw more attention to their cognitive function, in turn strengthening the evaluation, detection, and intervention of their cognitive function.