Associations between screen-time, physical activity and depressive symptoms differ based on gender and screen-time mode

The association between screen time trajectories and the comorbidity of depression and anxiety

Depression and anxiety are often comorbid among adolescents. Adolescent screen time changes over time. This study investigates the association between screen time trajectories and the comorbidity of depression and anxiety from a longitudinal perspective. The data were collected from an ongoing prospective puberty cohort which was established in 2014 from Chongqing, China. 838 participants (52.03 % female; wave 1 mean age = 8.62, SD = 1.15) were followed up from 2014 to 2020. Questions about screen time were administered every six months. Trajectories of screen time were identified using latent class growth analysis. Children's Depression Inventory (CDI) and Screen for Child Anxiety Related Disorders (SCARED) were used to measure depression and anxiety. Latent profile analysis was used to identify the subtypes of comorbidity of depression and anxiety. Logistic regression was used to explore the association between screen time trajectory and the comorbidity of depression and anxiety. Three distinct trajectories of screen time were identified: Group Low (68.26 %) had consistently low screen time, Group High (26.37 %) had high screen time and Group Increasing (5.37 %) was characterized by an increasing screen time. Four subtypes of the comorbidity of depression and anxiety were fitted ("High comorbidity", "Low comorbidity", "Low depression symptoms" and "No symptoms"). Group Increasing and Group High were associated with "Low comorbidity" and "Low depression symptoms". Group Increasing was more likely to be the "high comorbidity" both boys and girls. However, Group High was associated with "high comorbidity" only in girls. The results of this study may inform future research and provide possible intervention targets.

Association of physical activity, screen time and sleep with substance use in children and adolescents: a large sample cross-sectional study

Background

24-h movement guidelines (24-HMG) play an important role in various demographics such as early years, children, youth, and the older adult. Nevertheless, most existing research exploring the links between socioeconomic factors, dietary intake, and substance use with sleep patterns, physical activity (PA), and sedentary behavior (SB) has been conducted in high-income Western countries.

Purpose

Hence, this study seeks to investigate the relationship between adherence to the 24-HMG and smoking and alcohol use behaviors among children and adolescents in China.

Methods

A comprehensive survey, in collaboration with the Municipal Education Commission, was carried out across primary and middle schools in Shenzhen, China. Sleep duration was gauged using the Pittsburgh Sleep Quality Index (PSQI), screen time was assessed with items adapted from the Health Behavior of School-aged Children (HBSC) survey, and PA was measured using a single item adapted from the HBSC survey. Results were presented as odds ratios (ORs) with 95% confidence intervals (CIs), considering p-values below 0.05 as statistically significant.

Results

Among the sample, 51.9% were boys and 48% were girls. Those who did not meet any guidelines had a higher probability of smoking (OR = 1.62 [95% CI: 1.03, 2.56], p = 0.037) among children and adolescents. Conversely, meeting one (OR = 0.94 [95% CI: 0.61, 1.52], p = 0.874) or two guidelines (OR = 0.84 [95% CI: 0.52, 1.34], p = 0.459) showed no significant impact. The data displayed an inverse correlation between the number of guidelines adhered to and the likelihood of alcohol use among children and adolescents: none (OR = 2.07, p < 0.001), one guideline (OR = 1.40, p = 0.006), and two guidelines (OR = 1.22, p = 0.106).

Conclusion

Not meeting guidelines elevates smoking and alcohol use risks in children and adolescents, whereas following more guidelines lowers these risks, highlighting the importance of guideline adherence in reducing substance use.

Physical Activity Participation among Children and Youth with Mental Health Symptoms: Clinician Perspectives

BACKGROUND/OBJECTIVES

Physical activity supports mental health and well-being in children and youth. However, there are significant barriers to physical activity participation among individuals impacted by mental health disorders. This study investigates these barriers through the perspective of mental health clinicians who support children and youth.

METHODS

Fourteen mental health clinicians, including registered professional psychologists, psychotherapists, and social workers, were interviewed in a semi-structured format. Qualitative content analysis was performed to identify key themes, including both barriers and facilitators to physical activity.

RESULTS

Content analysis revealed that clinicians perceive both internal and external barriers and facilitators to their clients' participation in physical activity. Barriers included intrapersonal factors, such as the presence of depression, anxiety, or eating disorder symptoms; lack of motivation; and negative self-talk, as well as factors related to the influence of caregivers, financial limitations, screen time use, environmental and cultural factors, and lack of time. Facilitators included enjoyment of physical activity, knowledge about the benefits of physical activity, and caregiver participation.

CONCLUSIONS

Mental health clinicians demonstrated clear knowledge about the barriers to and facilitators of their clients' participation in physical activity. These findings provide valuable insights that can be used to support children and youth experiencing mental health difficulty to access the beneficial effects of physical activity.

The associations between screen time and mental health in adolescents: a systematic review

BACKGROUND

Adolescents have extensive use of screens and, they have common complains related to mental health. Here a systematic review was done to understand the association between screen time and adolescent's mental health.

METHOD

This review was conducted in compliance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses - PRISMA. An update search was performed in January 2023 with the following keywords: "screen time," "adolescent," and "mental health" on PubMed, PsycINFO and Scopus databases.

RESULTS

50 articles were included, most have found associations between screen exposure and mental health in adolescents. The most used device by adolescents was the smartphone and the use on weekdays was associated with diminished mental well-being. Social media use was negatively associated with mental well-being and, in girls, associated at higher risk for depression.

CONCLUSION

Excessive screen time in adolescents seems associated with mental health problems. Given the profusion and disparity of the results, additional studies are needed to clarify elements such as the screen content or the interaction of adolescents with different screen devices.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022302817.

Screen time and suicidal behaviors among U.S. children 9-11 years old: A prospective cohort study

Suicide is a leading cause of death among adolescents. Emerging literature has described relationships between excessive screen time and suicidal behaviors, though findings have been mixed. The objective of this study is to determine the prospective associations between screen time and suicidal behaviors two-years later in a national (U.S.) cohort of 9-11-year-old-children. We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11,633). Logistic regression analyses were estimated to determine the associations between baseline self-reported screen time (exposure) and suicidal behaviors (outcome) based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5) at two-year-follow-up. Participants reported an average of 4.0 h of total screen time per day at baseline. At two-year-follow-up, 1.38% of the sample reported at least one suicidal behavior. Each additional hour of total screen time was prospectively associated with 1.09 higher odds of suicidal behaviors at 2-year-follow-up (95% CI 1.03-1.14), after adjusting for covariates. For specific screen time modalities, each additional hour of texting (aOR 1.36, 95% CI 1.06-1.74), video chatting (aOR 1.30, 95% CI 1.03-1.65), watching videos (aOR 1.21, 95% CI 1.04-1.39), and playing video games (aOR 1.18, 95% CI 1.01-1.38) was associated with higher odds of subsequent suicidal behaviors. Higher screen time is associated with higher odds of reporting suicidal behaviors at two-year-follow-up. Future research should seek to identify how specific screen time experiences may influence suicidal behaviors.

Association between Depression, Anxiety Symptoms and Gut Microbiota in Chinese Elderly with Functional Constipation

This study aimed to investigate the relationship between anxiety, depression, and gut microbiota in elderly patients with FC.

METHODS

in this cross-sectional study, a total of 198 elderly participants (85 male and 113 female) aged over 60 years were recruited. The study was conducted in Changsha city, China. The participants completed an online questionnaire, including The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), The Patient Assessment of Symptoms (PAC-SYM), and The Patient Assessment of Quality of Life (PAC-QoL). We selected the 16S rDNA V3 + V4 region as the amplification region and sequenced the gut microbiota using the Illumina Novaseq PE250 high-throughput sequencing platform.

RESULTS

in total, 30.3% of patients with constipation had depression, while 21.3% had anxiety. The relative abundance of intestinal microbiota in the normal group was higher than that in the anxiety and depression group. According to LEfSe analysis, the relative abundance of g_Peptoniphilus and g_Geobacter in the people without depression and anxiety was higher. The relative abundance of g_Pseudoramibacter-Eubacterium and g_Candidatus-Solibacter in the depression group was lower, and the relative abundance of g_Bacteroides and g_Paraprevotella, g_Cc_115 in the anxiety group was higher. In addition, according to the correlation analysis, g_Aquicella and g_Limnohabitans were negatively correlated with constipation symptoms, anxiety, and depression.

CONCLUSIONS

this study found that gut microbiota composition may be associated with a higher incidence of anxiety and depression in patients with FC, thus providing insight into the mechanisms that ameliorate mood disorders in patients with FC.