The relationships between screen time and mental health problems among Chinese adults

Movement Behaviors and Mental Health of Catholic Priests in the Eastern United States

The purpose of this observational study was to examine (a) the proportion of Catholic priests in the United States that have anxiety/depression and meet the Canadian 24-Hour of Movement Guidelines, and (b) the association of meeting these guidelines with the likelihood of anxiety and depression. A sample of (arch)diocesan priests (n = 335) completed demographic and behavior survey, International Physical Activity Questionnaire (IPAQ-SF), and Hospital Anxiety and Depression Scale (HADS). Results indicated that 21.1% of priests surveyed met all three movement guidelines (physical activity, sleep, and screentime) and 7.8% met none. Priests who reported excessive recreational screentime (≥ 3 h/day) were more likely to have anxiety (OR = 3.17) and depression (OR = 2.91), and who were physically inactive (< 150 min/week) were more likely to have depression (OR = 8.89). Data from this study addresses a gap in the literature regarding Catholic priests, movement behavior, and mental wellbeing.

Associations between screen use while eating and eating disorder symptomatology: Exploring the roles of mindfulness and intuitive eating

Screen use while eating has been recently identified as a highly common and potentially important specific setting of screen use in relation to eating disorder symptomatology. However, given this area of research is still in its infancy, how screen use while eating may be related to eating disorder symptomatology remains largely unexplored. To fill this gap, the present study probed the potential roles of mindfulness and intuitive eating in the association between screen use while eating and eating disorder symptomatology. A large sample of Chinese adults (N = 800, aged 18-67 years old) recruited through a Chinese survey platform, Credamo, completed questionnaires assessing screen use while eating, eating disorder symptomatology, mindfulness, and intuitive eating. Structural equation modeling was used to test the proposed model. Results confirmed our hypotheses that the association between screen use while eating and eating disorder symptomatology was partially explained by mindfulness and intuitive eating, after adjusting for covariates (e.g., gender, age, body mass index, total screen time, and social media use). That said, higher screen use while eating was associated first with lower mindfulness and then with lower intuitive eating, which in turn were related to higher eating disorder symptomatology. The findings underline the importance of including eating-specific screen use for future research on eating disorder symptomatology and also have implications for an integrative intervention of mindfulness-based approaches and intuitive eating for mitigating the adverse effects of excessive screen use on eating behaviors.

Unhealthy behaviors associated with mental health disorders: a systematic comparative review of diet quality, sedentary behavior, and cannabis and tobacco use

Background

There are well-established literatures documenting the associations between mental disorders and unhealthy behaviors such as poor diet quality, sedentary behavior, and cannabis and tobacco use. Few studies have attempted to understand the respective findings in light of each other, however.

Objective

The purpose of this review was to assemble comparable data for each behavior-disorder association and assess the associations in terms of their overall strength. The review aimed to include a representative, but not exhaustive, range of studies that would allow for explorative comparisons.

Methods

Eligible studies were identified via Pubmed searches and citation searching, restricted to publications no older than 2015 written in English. To obtain comparable data, only studies that reported findings as odds ratios were included, and risk of bias related to study samples, behavioral measurement disparities, and control variables was assessed via sensitivity analyses. Findings for each disorder were compared on the basis of different measures of central tendency.

Results

From 3,682 records, 294 studies were included. The review found evidence of associations between each of the four unhealthy behaviors and psychosis, depression, anxiety, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), while personality disorder was only investigated in relation to cannabis and tobacco use. In overall comparison, the associations were generally of similar strength, and only the association between cannabis use and personality disorder was exceptional in terms of being significantly stronger than its counterparts across disorders and across behaviors. Analyses of bias risk identified some influence from behavioral measurement disparities and lack of adequate statistical control, but findings were generally robust across a range of sensitivity analyses.

Conclusion

This explorative and comparative review found that poor diet quality, sedentary behavior, and cannabis and tobacco use are about equally strongly associated with a range of different mental disorders. Given the general nature of these associations, we should probably understand them to reflect a general and shared etiology. However, the findings in this review should be regarded as tentative until confirmed by more comprehensive investigations.

Perceived quality of life and associated factors in long COVID syndrome among older Brazilians: A cross-sectional study

AIMS AND OBJECTIVES

This paper aims to: (a) determine the personal, sociodemographic, clinical, behavioural, and social characteristics of older Brazilians with clinical evidence of long COVID; (b) evaluate perceived quality of life and determine its association with personal, sociodemographic, behavioural, clinical and social variables; and (c) assess significant predictors of high perceived QoL.

BACKGROUND

Given the inherent vulnerabilities of the ageing process, the older people are an at-risk group for both contagion of SARS-CoV-2 and the perpetuation of residual symptoms after infection, the so-called long COVID or post-COVID syndrome.

DESIGN

A cross-sectional survey design using the STROBE checklist.

METHODS

Brazilian older people with long COVID syndrome (n = 403) completed a phone survey measuring personal, sociodemographic, behavioural, clinical, and social characteristics, and perceived Quality of Life (QoL). Data were collected from June 2021-March 2022. A multiple linear regression model was performed to identify salient variables associated with high perceived QoL.

RESULTS

The mean age of participants was 67.7 ± 6.6 years old. The results of the multivariate regression model showed that race, home ownership, daily screen time, musculoskeletal and anxiety symptoms, and work situation were the significant predictors of QoL among COVID-19 survivors.

CONCLUSIONS

Knowledge about the persistence of physical, emotional, and social symptoms of COVID-19 can help nurses and other healthcare providers to improve the management of survivors, bringing benefits to the whole society.

RELEVANCE TO CLINICAL PRACTICE

Given the novelty of long-COVID and its heterogeneous trajectory, interventions focusing on the repercussions and requirements unique to more vulnerable older persons should be developed and these aspects should be included in public health recommendations and policymakers' concerns.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution was required to design, to outcome measures or undertake this research. Patients/members of the public contributed only to the data collection.

The association between screen time and depression symptoms severity among adults with diabetes: A cross-sectional study

OBJECTIVE

To investigate the association between time spent on screen-based sedentary behavior (SBSB) and depression symptom severity (DSS) among adults with type 2 diabetes.

METHODS

A cross-sectional study employing secondary data collected by Qatar Biobank (QBB) on 2386 adults with type 2 diabetes aged ≥ 18 years. Self-reported data on DSS measured using the Patient Health Quationnaire-9 and daily time spent on SBSB per week was used.

RESULTS

After adjusting for covariates, including physical activity and sleep duration, subjects who spent 2-4 h or > 4 h a day on SBSB watching TV or other devices other than computers during weekdays had increased odds of higher DSS than subjects who spent < 1 h by 44% (95% Confidence interval (CI) 13-83%) and 52% (95% CI 17-96%), respectively. Subjects who spent > 4 h a day on SBSB using computers during weekdays had increased odds of higher DSS by 115% (95% CI 56-196%) than subjects who spent < 1 h. Similar associations were observed between time spent on SBSB using the mentioned devices during weekends and DSS.

CONCLUSION

Increase in time spent on SBSB is independently associated with increased DSS among adults with type 2 diabetes regardless of the equipment used or timing of the week.

Self-rated Health in Youth with Different Screen Time in Their Adolescence: Tehran Lipid and Glucose Study

BACKGROUND

The long-term effects of childhood screen time on health-related quality of life (HRQoL) are still unclear. This study aimed to investigate the relationship between screen time during adolescence and sex-specific HRQoL in early youth.

METHODS

We studied the data from 642 adolescents aged 13-19 years, who participated in the Tehran Lipid and Glucose Study from 2005 to 2011 (baseline) with complete data on HRQoL in their early adulthood (22-28 years at the last follow-up). Physical and Mental HRQoL were assessed using the Iranian version of the short-form 12-item health survey version 2 (SF-12v2). Screen time and leisure-time physical activity were evaluated using the Iranian Modifiable Activity Questionnaire (MAQ). All analyses were conducted in Stata (version 14); MI used the mi impute command.

RESULTS

The mean±SD of age, body mass index (BMI), and physical activity in childhood were 16.33±1.27, 23.27±4.63 and 13.77±16.07, respectively. Overall, 35% of boys and 34% of girls had high screen time (HST) in childhood. In general, the HRQoL scores in male participants were higher than in females in both the mental and physical domains. HST in males in childhood was associated with decreased mental health (β=-6.41, 95% CI: -11.52, -1.3 and P=0.014), social functioning (β=-5.9, 95% CI: -11.23, -0.57 and P=0.03) and mental component summary (MCS) (β=-2.86, 95% CI: -5.26, -0.45 and P=0.02). The odds of poor MCS were significantly higher in those with HST compared to their counterparts with low screen time (LST) after adjusting for all potential cofounders.

CONCLUSION

The results of the present study showed the negative effect of screen time during adolescence on HRQoL in early youth. This effect was observed in men, mainly in the mental dimension. Investigating the long-term consequences of screen-time behaviors on self-assessed health in other populations with the aim of effective primary prevention is also suggested.

Sleep quality as a mediator of the relationship between screen time and negative emotions among Chinese college freshmen

College freshmen are special populations facing great challenges in adapting to the brand new environment, and their lifestyle and emotional states are worthy of attention. Especially during the COVID-19 pandemic, their screen time and prevalence of negative emotions were significantly increased, but few studies have focused on such situation of college freshmen and illustrated relevant mechanisms. Thus, based on a sample of Chinese college freshmen during the COVID-19 pandemic, the current study aimed to investigate the association between their screen time and negative emotions (depression, anxiety and stress), and further explore the mediating effects of sleep quality. Data from 2,014 college freshmen was analyzed. The screen time was self-reported by participants using predesigned questionnaires. The Pittsburgh Sleep Quality Index (PSQI) and Chinese Version of Depression Anxiety and Stress Scale-21 (DASS-21) were used to assess sleep quality and emotional states, respectively. The mediation analysis was conducted to examine the meditation effect. Results indicated that participants with negative emotions tended to have longer daily screen time and worse sleep quality, sleep quality partially mediated the association between screen time and negative emotions.The critical role of sleep quality and related intervention measures should be recognized and implemented.

Screen use while eating is associated with lower intuitive eating and higher disordered eating in Chinese adult men and women

OBJECTIVE

We aimed to explore the potential associations between screen use while eating and intuitive eating and disordered (thinness-oriented and muscularity-oriented) eating behaviors.

METHODS

Analyses included 600 Chinese adults (50% women; Mage  = 30.67, SD = 8.08) recruited online. The use of four major screen devices was captured, including cell phones, tablets, computers, and TVs. Three types of eating behaviors were examined, namely intuitive eating, thinness-oriented disordered eating, and muscularity-oriented disordered eating. Pearson correlation and hierarchical regression analyses were conducted separately for men and women to examine the sex-specific associations between screen use while eating and intuitive eating, thinness-oriented disordered eating, and muscularity-oriented disordered eating.

RESULTS

In both men and women, more screen use while eating was significantly associated with lower intuitive eating, higher thinness-oriented disordered eating, and higher muscularity-oriented disordered eating, above and beyond total screen time and social media use.

DISCUSSION

We found preliminary evidence for the significant links between screen use while eating and intuitive eating and disordered eating. Given the global increases in screen use, continued research is warranted to further explore the role of screen use while eating in the development and maintenance of intuitive eating and disordered eating.

PUBLIC SIGNIFICANCE

Much remains unknown regarding screen use while eating and eating behaviors. We found that in both Chinese men and women, more screen use while eating was significantly and uniquely associated with lower intuitive eating, higher thinness-oriented disordered eating, and higher muscularity-oriented disordered eating. Findings highlight the importance of incorporating screen use while eating in future research on intuitive eating and disordered eating.

Screen-based and non-screen-based sedentary behaviors are differentially associated with affective states in older adults

Excessive sedentary behavior (SB) contributes to poor affective and physical feeling states, which is particularly concerning for older adults who are the most sedentary sector of the population. Specific types of SB have been shown to differentially impact health in cross-sectional and longitudinal studies, with screen-based SB more negatively impacting aspects of mental health. This study used Ecological Momentary Assessment (EMA), a real-time, intensive longitudinal data capture methodology, to examine the differential impact of screen-based behaviors on momentary affective responses during SB in naturalistic settings. A diverse sample of older adults (pooled across 2 studies) completed an EMA protocol for 8-10 days with six randomly delivered, smartphone assessments per day. At each EMA prompt, participants reported their current activity, whether they were sitting while doing that activity, and affective states. Multilevel models assessed whether screen-based (vs. non-screen-based) behavior moderated affective response during SB. At the within-person level, older adults experienced less positive affect during SB when engaged in a screen-based behavior compared to a non-screen-based SB (B = -0.10, p < 0.01). At the between-person level, positive associations between SB and negative affect (B = 0.79, p = 0.03) were stronger if participants reported engaging in screen-based behaviors for a greater proportion of prompts. Among older adults, screen-based SB may lead to poorer affective states compared to non-screen-based SB. Interventions aiming to reduce SB in this population should consider targeting reductions in screen-based SB as means to improve affective states.

Association between electronic device use and health status among a middle-aged and elderly population: a cross-sectional analysis in the UK Biobank

Aim

Few previous studies have investigated the impact of multiple types of electronic devices on health status, and the moderating effects of gender, age, and BMI. Our aim is to examine the relationships between the use of four types of electronics and three health status indicators in a middle-aged and elderly population, and how these relationships varied by gender, age, and BMI.

Subject and methods

Using data from 376,806 participants aged 40-69 years in the UK Biobank, we conducted a multivariate linear regression to estimate the association between electronic device use and health status. Electronics use was categorized as TV watching, computer use, computer gaming, and mobile phone use, and health status included self-rated health (SRH), multisite chronic pain (MCP), and total physical activity (TPA). Interaction terms were utilized to assess whether the above associations were modified by BMI, gender, and age. Further stratified analysis was performed to explore the role of gender, age, and BMI.

Results

Higher levels of TV watching (BSRH = 0.056, BMCP = 0.044, BTPA= -1.795), computer use (BSRH = 0.007, BTPA= -3.469), and computer gaming (BSRH = 0.055, BMCP = 0.058, BTPA= -6.076) were consistently associated with poorer health status (all P < 0.05). Contrastingly, earlier exposure to mobile phones (BSRH = -0.048, BTPA= 0.933, BMCP = 0.056) was inconsistent with health (all P < 0.05). Additionally, BMI (Bcomputer use-SRH= 0.0026, Bphone-SRH= 0.0049, BTV-MCP= 0.0031, and BTV-TPA= -0.0584) exacerbated the negative effects of electronics use, and male (Bphone-SRH = -0.0414, Bphone-MCP = -0.0537, Bphone-TPA= 2.8873) were healthier with earlier exposure to mobile phones (all P < 0.05).

Conclusion

Our findings suggest that the adverse health effects associated with watching TV, computer use, and computer gaming were consistent and were moderated by BMI, gender, and age, which advances a comprehensive understanding of the association between multiple types of electronic devices and health status, and provides new perspectives for future research.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10389-023-01886-5.

The relationship between Chinese adults' self-assessments of family social status in childhood and depression: A moderated mediation model

BACKGROUND

Using the data from a large-scale Chinese national survey, this study aimed to explore the underlying mechanisms between Chinese adults' self-assessments of family social status in childhood and depression.

METHODS

The research data was from the China Family Panel Studies (CFPS) in 2020. We selected 13,430 Chinese adults aged 16-60 as participants, and used the PROCESS macro program to conduct moderated mediation analysis.

RESULTS

Chinese adults' self-assessments of family social status in childhood had a statistically significant negative predictive effect on depression. The sharing frequency of WeChat Moments played a partial mediating role in the relationship between self-assessment of family social status in childhood and depression. Furthermore, social trust moderated the direct effect of mediation model. Age moderated the second half of the mediation model, and the effect was statistically significant in the younger population (young people), but not in the older population (middle-aged people).

LIMITATIONS

This was a cross-sectional study and no causal conclusions could be drawn.

CONCLUSIONS

Chinese adults' self-assessment of family social status in childhood could affect depression in adulthood through sharing frequency of WeChat Moments. People with higher social trust can effectively buffer the adverse effect of self-assessed low family social status in childhood on depression. Age moderated the relationship between sharing frequency of WeChat Moments and depression, but this moderating effect was only significant in the younger population.