Impact of screen time during COVID-19 on eating habits, physical activity, sleep, and depression symptoms: A cross-sectional study in Indian adolescents

Psychometric Properties of the Healthy Lifestyle Behaviors Scale in Portuguese Pregnant Women

BACKGROUND

Pregnancy provides a privileged and opportune moment to implement interventions promoting healthy lifestyle behaviors and significantly improving perinatal outcomes. The Healthy Lifestyle Behaviors Scale (HLBES) can be used to assess health promoting behaviors, such as diet, physical activity, and mental health.

PURPOSE

This study aimed to examine the psychometric properties of the HLBES in Portuguese pregnant women.

METHODS

A methodological study was conducted on a convenience sample of 192 pregnant women receiving prenatal care. After cross-cultural adaptation, an exploratory factor analysis and internal consistency assessment were carried out to evaluate the psychometric properties of the scale. Data collected included the Healthy Lifestyle Beliefs Scale to assess the HLBES' criterion validity.

RESULTS

Exploratory factor analysis with Varimax rotation yielded 2 subscales that explained 45.23% of the total variance. The scale revealed an overall internal consistency of 0.78 and a good criterion validity with the Healthy Lifestyle Beliefs Scale (r = 0.65, P < .01).

CONCLUSION

Our results suggest that the HLBES is an instrument for reporting healthy lifestyle behaviors in Portuguese pregnant women; however, further studies are recommended. This scale can be used to not only describe healthy lifestyle behaviors in pregnant women but also to determine the effects of health promoting interventions.

Dietary Changes of Youth during the COVID-19 Pandemic: A Systematic Review

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has taken the lives of millions and disrupted countless more worldwide. Simply living through the pandemic has had drastic effects on the health of citizens. Diet, an important aspect of health, has been uniquely affected by the pandemic, although these changes have not been sufficiently studied among youth.

OBJECTIVES

The objective of this systematic review was to investigate dietary changes of youth during COVID-19.

METHODS

A prespecified literature review was conducted using MEDLINE, EMBASE, Scopus, and CINAHL to identify studies from January 2020 to May 2023 that assessed dietary changes among youth aged ≤20 y compared with before the pandemic. Only quantitative observational studies that were published in English were included. Two authors completed all screening/study selection independently, with disagreements being resolved via discussion. Data extraction was completed by 1 author. Dietary changes were categorized into food groups and habits for analysis purposes.

RESULTS

In total, 67 studies met inclusion criteria. Most studies used recall to assess changes (48/67; 71.6%). Most studies found an increase in fruits and vegetables (24/46; 52.2%), grain products (6/11; 54.5%), meat, poultry, and eggs (4/8, 50.0%), diet quality indices and/or overall dietary assessments (7/13, 53.8%), and the frequency of snacking (9/12; 75.0%), whereas generally finding a decrease in ultraprocessed foods (32/53; 60.4%), compared with before the COVID-19 pandemic. Mixed findings or primarily no changes were found for fish and aquatic products, legumes, beans, seeds and nuts, milk and milk products, breakfast consumption, and nutrient intake.

CONCLUSIONS

Mostly favorable dietary changes appear to have occurred among youth during COVID-19, although there were several mixed findings and unclear takeaways among the foods and habits under study. The heterogeneity of defining food groups was a noted limitation in the current review.

National Trends in the Prevalence of Screen Time and Its Association With Biopsychosocial Risk Factors Among Korean Adolescents, 2008-2021

PURPOSE

Prior studies suggested an increase in screen time among adolescents during the COVID-19 pandemic; however, due to limited sample size and a short-term observation period, these associations are inconclusive and inconsistent. Thus, we aimed to compare screen time during the pandemic and the long-term trend through a Korean large-scale and long-term study of one million adolescents.

METHODS

Data from 2008 to 2021 on 913,191 Korean adolescents aged 12-18 years were obtained via a nationwide, large-scale, and serial study. We investigated the change of screen time use over time and the change in trend before and during the pandemic (2008-2019 vs. 2020-2021) by using weighted linear regression model with estimates of β-coefficients and 95% confidence intervals (CIs). Moreover, we analyzed the differences in vulnerability of biopsychosocial factor before and during the pandemic.

RESULTS

A total of 913,191 adolescents were included in this analysis. During the pandemic, the overall screen time of Korean adolescents significantly increased compared to the expected based on the prepandemic period during the pre-COVID-19 period (weighted screen time before the pandemic [133.24 min/day; 95% CI, 132.08-134.40] vs. during the pandemic [303.66 min/day; 95% CI, 300.59-306.73]; βdiff 0.331; 95% CI, 0.311-0.351). Comparing before and during the pandemic, potential risk factors associated with screen exposure included female sex, sadness, suicidal thoughts, alcohol consumption, low educational level of parents, low level of vigorous physical activity, middle school students, and low household income.

DISCUSSION

Through large-scale nationwide study, this study described the 14-year trend of screen time among Korean adolescents. In the era of COVID-19, the prevalence of screen exposure has been increasing more rapidly than before at the population level. Also, the pandemic amplified the differences in screen time across grade, sex, sadness, suicidal thoughts, smoking, alcohol consumption, education level of parents, physical activity, and household income groups.

Letter to Editor on "Impact of smart phone use on adolescence health in India"

This letter to the editor with reference to Mahalakshmi et al. (2023) provides two additional views. In a tech-savvy world study in this field is of importance yet there is a huge gap. Such study should also consider screen time engagement of hospitalized patients given their predisposed physical condition in addition to student survey. Genetic analysis should also be included along with the questionnaire and counselling-based surveys. Thus, considering the known study pipeline and focusing on the two afore-mentioned aspects such research should be considered as a "High Priority" area.

Importance of training volume through the use of step trackers apps promoted from the subject of physical education to change body composition, physical fitness and physical activity in adolescents and the influence of gender✰,✰✰

The aim of the present study was to determine the changes in physical activity level (PA), kinanthropometric and derived variables, and physical fitness in adolescents, as a result of an out-of-school intervention with mobile step tracker apps promoted from the field of physical education, according to the volume of training completed and gender. A randomized controlled trial was carried out with 400 adolescents (210 males and 190 females) aged 12 to 16 years old (mean age: 13.96 ± 1.21 years-old). Adolescents were divided into experimental group (EG) (n = 240) and control group (CG) (n = 160). Two measurements were carried out, separated by a 10-week intervention, and PA, kinanthropometric variables and physical condition were measured. During the intervention, EG must use Strava (n = 74); Pokémon Go (n = 59); Pacer (n = 60); and MapMyWalk (n = 47) a minimum of 3 times per week, covering an incremental distance from 7,000 steps per day (week 1) to 12,500 steps per day (week 10). After that, EG were divided in quartile according to the volume of training completed. The results obtained showed a significant increase between pre-and post in PA (p = 0.009-0.044) and curl-up (p < 0.001-0.040) in EG regardless the quartile of compliance, and a reduction in fat variables (p < 0.001) and an increase in CMJ in 75-100 % compliance group (p = 0.005). The introduction of the covariate gender did not introduce changes in the intra-group evolution. On inter-group differences, differences were only found for the post-test values between 0-25 % Vs 25-50 % and between 50-75 % Vs 75-100 % with the group that completed a longer distance being the one that showed the lowest values in the post-test in both cases. When including the covariate gender, no significant differences were found for either the pre-test or the post-test on either variable. To conclude, a higher training volume with mobile apps seems to be relevant in the increase PA and strength and decrease of fat mass. The gender factor is not influential in the intra-group changes, but it is influential in the inter-group differences.

The Impact of Chronic Stress Related to COVID-19 on Eating Behaviors and the Risk of Obesity in Children and Adolescents

During the COVID-19 pandemic, an increase in the incidence of overweight and obesity in children was observed. It appears that unhealthy food choices, an unbalanced diet, and a sedentary lifestyle, as well as experiencing stress related to the pandemic, may be contributing to this disturbing trend. Chronic stress is a significant factor contributing to eating disorders and obesity in youngsters, involving medical, molecular, and psychological elements. Individuals under chronic stress often focus on appearance and weight, leading to negative body image and disrupted relationships with food, resulting in unhealthy eating behaviors. Chronic stress also impacts hormonal balance, reducing the satiety hormone leptin and elevating the appetite-stimulating hormone ghrelin, fostering increased hunger and uncontrolled snacking. Two systems, the hypothalamic-pituitary-adrenal axis and the sympathetic system with the adrenal medulla, are activated in response to stress, causing impaired secretion of noradrenaline and cortisol. Stress-related obesity mechanisms encompass oxidative stress, neuroinflammation, insulin resistance, and neurohormonal and neurotransmission disorders. Stress induces insulin resistance, elevating obesity risk by disrupting blood sugar regulation and fat storage. Stress also affects the gut microbiome, potentially influencing chronic inflammation and metabolic processes linked to obesity. In conclusion, chronic stress is a multifaceted risk factor for eating disorders and obesity in children, necessitating a comprehensive understanding of effective preventive and intervention strategies amid the escalating prevalence of childhood overweight and obesity.

Prevalence of excess screen time among secondary school children in rural India

Introduction

Screen time has increased during the COVID-19 pandemic, especially among children and teenagers. This has come at the expense of their healthy eating habits, physical activity and adequate amount of quality sleep. The excessive use of screen-device can lead to addiction which starts during adolescent years. Objectives: Primary Objective: to assess prevalence of excess screen time among secondary school children; Secondary Objective: to correlate Body Mass Index (BMI), sleep duration, duration of physical activity and food habits with screen time duration.

Material and Methods

Study settings and design: cross-sectional study was conducted in secondary schools in the rural field practice area of a private medical college in Pune, India. The study included 184 school children from eighth to tenth standard. Data was collected using a self-administered, questionnaire.

Results

Prevalence of excess screen time among secondary school children was 83.2%. Mobile phone was the most used device (98.9%). There was a significant association between excess screen time and inadequate sleep.

Conclusions

The present study reports high prevalence of excess screen time in rural school going children in rural India. There is a need for strategies to combat this in school health programs on priority.

Roadblocks in education amidst global crisis-A study based in India

BACKGROUND

The outbreak of the COVID-19 pandemic compelled the closure of educational institutions and forced students to complete nearly two years of schooling online, impacting their physical and emotional development tremendously. This exploratory study investigates the wide-ranging impact of online education on Indian students during the COVID-19 pandemic and discusses the challenges exacerbated by disparities in access to digital devices and reliable internet service. The paper also focuses on the physical and mental health issues that arose in student cohorts as a result of the abrupt shift to online learning, and investigates the relationship between students' socioeconomic status and the nature and frequency of health issues experienced by them.

METHODS

A total of 832 respondents completed a 40-item survey that was administered online and through interviews. The paper analysed the impact of access to digital resources and teachers' training in information and communication technology on the perception of the quality of education provided by the institutions. We further analysed the impact of the adoption of online educational platforms on students' mental and physical health.

RESULTS

The study found a positive relationship between the number of hours spent online, and the physical and mental health issues experienced by students. Participants reported an overall higher perception of stress and anxiety, loss of concentration, and dissatisfaction with the quality of education. Our data suggest that COVID-19 has exacerbated the digital divide.

DISCUSSION

Urgent investments are needed to provide universal access to reliable internet services, and to develop a pedagogy that supports an agile and adaptable educational system, capable of providing effective learning and evaluation, while supporting students' physical and mental health.

Healthy Lifestyle Beliefs Scale: Psychometric properties in Portuguese pregnant women

Healthy lifestyle during pregnancy influences the pregnant woman's and child's physical and mental health, impacting perinatal outcomes. Healthy lifestyle beliefs are predictors of lifestyle behaviors, requiring a valid and reliable instrument to assess them during prenatal care. The 16-item Healthy Lifestyle Belief Scale (HLBS) measures a person's beliefs about their ability to live a healthy lifestyle. This study aimed to examine the psychometric properties of a Portuguese version of the HLBS among pregnant women. A methodological study was developed in two phases: cross-cultural adaptation and evaluation of the psychometric properties of the Portuguese version in a nonprobability sample of 192 Portuguese pregnant women. The exploratory factor analysis suggested three subscales, which explained 53.8% of the total variance. Cronbach's α was 0.83 for the overall scale and for the subscales ranged between 0.71 and 0.81. The HLBS is a reliable and valid instrument to assist health professionals in assessing the ability of Portuguese pregnant women to adopt a healthy lifestyle. Assessing healthy lifestyle beliefs potentially contributes to the development of health behavior interventions in pregnant women and consequently improves perinatal outcomes through evidence-based practices.

Development and validation of a prediction nomogram for academic burnout among Chinese adolescents: a cross-sectional study

OBJECTIVES

This study aimed to screen the potential risk factors for academic burnout among adolescents during the COVID-19 pandemic, develop and validate a predictive tool based on the risk factors for predicting academic burnout.

DESIGN

This article presents a cross-sectional study.

SETTING

This study surveyed two high schools in Anhui Province, China.

PARTICIPANTS

A total of 1472 adolescents were enrolled in this study.

OUTCOME MEASURES

The questionnaires included demographic characteristic variables, living and learning states and adolescents' academic burnout scale. Least absolute shrinkage and selection operator and multivariate logistic regression analyses were employed to screen the risk factors for academic burnout and develop a predictive model. The receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to assess the accuracy and discrimination of the nomogram.

RESULTS

In this study, 21.70% of adolescents reported academic burnout. Multivariable logistic regression analysis showed that single-child family (OR=1.742, 95% CI: 1.243 to 2.441, p=0.001), domestic violence (OR=1.694, 95% CI: 1.159 to 2.476, p=0.007), online entertainment (>8 hours/day, OR=3.058, 95% CI: 1.634 to 5.720, p<0.001), physical activity (<3 hours/week, OR=1.686, 95% CI: 1.032 to 2.754, p=0.037), sleep duration (<6 hours/night, OR=2.342, 95% CI: 1.315 to 4.170, p=0.004) and academic performance (<400 score, OR=2.180, 95% CI: 1.201 to 3.958, p=0.010) were independent significant risk factors associated with academic burnout. The area under the curve of ROC with the nomogram was 0.686 in the training set and 0.706 in the validation set. Furthermore, DCA demonstrated that the nomogram had good clinical utility for both sets.

CONCLUSIONS

The developed nomogram was a useful predictive model for academic burnout among adolescents during the COVID-19 pandemic. It is essential to emphasise the importance of mental health and promote a healthy lifestyle among adolescents during the future pandemic.

Sleep Deprivation and Insomnia in Adolescence: Implications for Mental Health

Sleep changes significantly throughout the human lifespan. Physiological modifications in sleep regulation, in common with many mammals (especially in the circadian rhythms), predispose adolescents to sleep loss until early adulthood. Adolescents are one-sixth of all human beings and are at high risk for mental diseases (particularly mood disorders) and self-injury. This has been attributed to the incredible number of changes occurring in a limited time window that encompasses rapid biological and psychosocial modifications, which predispose teens to at-risk behaviors. Adolescents’ sleep patterns have been investigated as a biunivocal cause for potential damaging conditions, in which insufficient sleep may be both a cause and a consequence of mental health problems. The recent COVID-19 pandemic in particular has made a detrimental contribution to many adolescents’ mental health and sleep quality. In this review, we aim to summarize the knowledge in the field and to explore implications for adolescents’ (and future adults’) mental and physical health, as well as to outline potential strategies of prevention.

Physical Activity, Screen Time, and Academic Burden: A Cross-Sectional Analysis of Health among Chinese Adolescents

This paper aims to analyze the effects of physical activity, screen time, and academic burden on adolescent health in China and compare their effects by using the nationally representative sample data from the CEPS (China Educational Panel Survey) cross-section data. This paper first uses regression analysis to examine the relationship between physical activity, screen time, academic burden and health among Chinese adolescents. Then, this paper uses the clustering analysis the influence of physical activity, screen time, and academic burden on the health of Chinese adolescents. The empirical results show that: (1) along with exercise, helping with the housework also has a clear health-promoting effect on adolescents; (2) the time spent surfing the Internet or playing video games, and heavy studying or homework off campus have a negative effect on adolescents' self-rated health and mental health; (3) physical activity has the greatest impact on self-rated health, while screen time has the greatest impact on mental health, and academic burden is not the most important factor affecting adolescent health in China.

Modern pied pipers: Child social media influencers and junk food on YouTube: A study from Germany

Kid influencers (under the age of 13) have profiles on social media platforms and create content to generate views and engagements. To reach young consumers, food companies are increasingly using kid influencers, perceived as highly trustworthy among children of the same age, to promote their (high-calorie) food products. Exposure to such content can lead to an increase in calorie intake. Therefore, this study aimed to identify which foods and beverages are featured in the videos of the four kid influencer channels most popular in Germany and, if possible, which Nutri-Score category these products receive. Of each channel, 50 of the most popular and 50 of the newest videos were analyzed regarding the food and beverage products and brands appearing in the video and the thumbnail. To analyze the number of appearances, each product was categorized as to whether it was branded or unbranded. Where possible, the Nutri-Score was then calculated for each product that appeared. Within the total video sample (N = 373), food and/or beverages appeared in almost 70% of the videos, of which 220 were branded and 178 were unbranded products. Due to incomplete nutrition labels of branded products, only 146 branded products could be analyzed, from which 66% received the worst Nutri-Score categories D and E. The unbranded foods were evaluated using products as similar as possible, of which the majority received Nutri-Score A. The most common brands included McDonald's, Kinder, and Coca-Cola, and the most frequent product categories were chocolate, candy, soft drinks, and fruit. The high number of high-calorie products in the videos shows that kid influencers might be regarded as a risk factor when it comes to childhood obesity.

Prevalence of mental health symptoms in children and adolescents during the COVID-19 pandemic: A meta-analysis

The COVID-19 pandemic and its accompanying infection control measures introduced sudden and significant disruptions to the lives of children and adolescents around the world. Given the potential for negative impacts on the mental health of youths as a result of these changes, we conducted a systematic review and meta-analysis to examine the prevalence of depressive symptoms, anxiety symptoms, and sleep disturbances in children and adolescents during the pandemic. We searched major literature databases for relevant cross-sectional or longitudinal studies that included primary and secondary school students or children and adolescents ≤18 years of age. Prevalence values were extracted, logit-transformed, and pooled. Based on 191 included studies with 1,389,447 children and adolescents, we found the pooled prevalence of depressive symptoms, anxiety symptoms, and sleep disturbances to be 31%, 31%, and 42%, respectively. Age, grade levels, education levels, gender, geographical regions, and electronics use were correlated with the prevalence of mental health symptoms. The prevalence of mental health symptoms also increased with time, although signs of recovery and stabilization were also observed. Overall, the results from this review demonstrate the need for increased mental health research, monitoring, and intervention for children and adolescents during the current and future pandemics.

Change in eating habits during the Spanish COVID-19 pandemic lockdown: evidence for a sample of university community

Background

The stress and anxiety caused by COVID-19 lockdown may have changed the eating habits of the population. Our aim is to assess the eating changes that have taken place due to the pandemic.

Methods

Data were collected through an electronic survey created by the Health Economics Research Group of the University of Cantabria and IDIVAL and conducted between 14/01/2021 and 19/02/2021. A total of 1,417 responses were recorded, but only 507 complete observations were considered. We carried out a cross-sectional analysis through ordered probit regressions.

Results

The improvement in post-confinement eating habits is associated with higher income level, better self-assessed health status and more physical activity. The worsening of eating habits is associated with having a certain level of nomophobia or the fear of contagion.

Conclusions

Our analysis can be used for designing and implementing new strategies to overcome the negative spill overs of the COVID-19 pandemic and improve the dietary patterns.

Changes in Sleep Satisfaction of Korean Adolescents in the Pre- and Post-COVID-19 Eras and Its Effects on Health Behaviors

Adolescence is a crucial period for cognitive and psychological development and physical maturation. During this period, hormonally influenced circadian rhythms lead to reduced hours of sleep, and it is important to determine whether sleep quality is sufficient for fatigue relief. Non-face-to-face classes during coronavirus disease-2019 (COVID-19) potentially affected adolescents' sleep quality, psychological state, amount of physical activity, smoking, alcohol consumption, and internet (smartphone) use. We investigated the effects of the COVID-19 situation on adolescents' sleep satisfaction and its relation to the aforementioned factors. Data of 109,281 adolescents collected via an online survey, conducted from 3 June 2019 to 12 July 2019 and from 3 August 2020 to 13 November 2020, were analyzed. Health status comparison between the satisfactory and unsatisfactory sleep groups yielded significant results (odds ratio [OR] = 1.10, confidence interval [CI] = 1.04-1.17) for 2020. In both groups, perceived health was worse in 2019 than in 2020 (OR = 2.72, CI = 2.53-2.92). During COVID-19, non-face-to-face classes increased adolescents' sleep satisfaction. Their psychological state improved, while amount of physical activity (muscle-strengthening exercises), average weight, and internet (smartphone) use increased. Smoking and alcohol consumption decreased.

Mental Health Among Sexual and Gender Minority Youth Incarcerated in Juvenile Corrections

OBJECTIVES

This study examined differences by sexual and gender minority (SGM) and incarceration statuses in mental health indicators among youth.

METHODS

Population-based, cross-sectional data are from the 2019 Minnesota Student Survey (N = 72 324) and includes public school students (Mage = 15.49) and youth incarcerated in juvenile correctional facilities (Mage = 15.48). We categorized youth into 4 groups: (1) non-SGM youth in public schools, (2) non-SGM youth in correctional facilities, (3) SGM youth in public schools, and (4) SGM youth in correctional facilities. Multivariable regression models assessed associations among SGM and incarceration statuses and mental health indicators after controlling for sociodemographic characteristics and exposure to adverse childhood experiences.

RESULTS

More youth in juvenile correctional facilities identified as SGM (28.8%) compared with youth in public schools (20.4%, P = .002). SGM youth in correctional facilities reported a higher prevalence of suicidal ideation (42.2%), suicide attempt (37.5%), and self-harm (57.8%) compared with all other groups. Depressive symptom severity was similarly elevated among SGM youth in correctional facilities and SGM youth in public schools. SGM youth in correctional facilities, compared with non-SGM youth in public schools, demonstrated elevated odds of suicide ideation (adjusted odds ratio [aOR] = 2.2, 95% confidence interval [95% CI] = 1.3-3.9), suicide attempt (aOR = 6.3, 95% CI = 3.6-10.9), and self-harm (aOR = 3.6, 95% CI = 2.1-6.3).

CONCLUSIONS

Incarcerated SGM youth disproportionately experience negative mental health indicators. Findings suggest that tailored, intersectional, and responsive mental health interventions are needed to support incarcerated SGM youth.

Lifestyle behaviors and mental health during the coronavirus disease 2019 pandemic among college students: a web-based study

Background

After emerging in China, the novel coronavirus disease 2019 (COVID-19) quickly spread to all parts of the country and became a global public health emergency. The Chinese government immediately took a series of protective and quarantine measures to prevent the spread of the virus, and these measures may have negative effects on behavior and psychological health. This study aimed to examine the associations between factors related to COVID-19 measures and mental health symptoms among Chinese college students in different pandemic areas.

Methods

An online survey was administered to 14,789 college students from February 4 to 12, 2020. After excluding the participants who did not complete the questionnaire, the quality of the questionnaire was checked. Finally, the sample included 11,787 college students from 16 cities and 21 universities in China. The areas included the city of Wuhan (Area 1), the neighboring province of Hubei (Area 2), first-tier cities (Beijing, Shanghai, and Guangzhou [Area 3]), and other provinces (Area 4).

Results

The average age of the participants was 20.51 ± 1.88 years. One-third of the participants were men. In total, 25.9 and 17.8% reported depression and anxiety, respectively. We also explored COVID-19-related factors, such as infection risk, perceived resistance to COVID-19 (or susceptibility to COVID-19 infection), perceived physical symptoms, family or friends, direct or indirect contact with confirmed cases, and having sought psychological counseling, which were significantly associated with anxiety and depression symptoms. Higher screen time, lower physical activity, higher soda and tea beverages (also called sugar sweetened beverages intake), use of alternative medicines or food supplements (including Chinese herbal medicines and vitamins), and decreased meal frequency were all correlated with higher depression and anxiety symptoms (depression: χ² = 25.57 and anxiety: χ² = 39.42). Coping with COVID-19 partially mediated the associations between some related lifestyle behaviors, anxiety, and depression. The conditional process model analysis results supported our hypotheses that lifestyle health behaviors and coping style were both predictors of anxiety and depression symptoms, and their direct and indirect effects were moderated by sex.

Conclusions

Compared with the city of Wuhan, other epidemic areas had a lower risk of mental health problems. Lifestyle health behaviors and coping styles alleviated mental health symptoms. COVID-19-related social stressors were positively associated with mental health symptoms.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14598-4.

Screen time and adolescents' mental health before and after the COVID-19 lockdown in Switzerland: A natural experiment

Background

During the COVID-19 lockdown in 2020, adolescents' mental health was largely undermined. A general increment in screen time was reported. However, the long-term effects of the latter on adolescents' mental health are still little explored.

Methods

In the present natural experiment, we investigated these effects using longitudinal data collected before and after the first lockdown in Switzerland. Data come from 674 Swiss adolescents (56.7% females, Mage = 14.45, SDage = 0.50) during Spring 2019 (T1) and Autumn 2020 (T2) as part of the longitudinal MEDIATICINO study. Self-reported mental health measures included somatic symptoms, inattention, anxiety, irritability, anger, sleep problems, obsessive-compulsive symptoms, loneliness, and depression. Measures for screen-media activities included time spent on the Internet, smartphones, social media, video gaming, instant messaging, and television viewing. They were all assessed at T1 and T2.

Results

Paired-sample t-tests with Bonferroni's correction showed that most mental health problems increased over time with an overall medium effect size (Hedge's g = 0.337). In particular, medium effect sizes were found for anxiety, depression, and inattention; small-to-medium effect sizes were reported for loneliness, sleep problems, and obsessive-compulsive symptoms; and a small effect size was found for somatic symptoms. Screen-media activities increased, with the exception of television viewing and video gaming. The results of the hierarchical regression analyses showed that, controlling for covariates, increased time spent on social media - calculated as the difference between T2 and T1 - was the only screen-media activity significantly associated with worse mental health at T2 (β = 0.112, p = 0.016). More time spent in structured media activities like television viewing diminished levels of inattention (β = -0.091, p = 0.021) and anxiety (β = -0.093, p = 0.014). Among covariates, being female, experiencing two or more life events, having mental health problems at T1, and using screens for homeschooling negatively influenced mental health at T2.

Conclusion

These results align with literature indicating a small but negative effect of social media time on mental health. Underlying mechanisms are manifold, including increased exposure to COVID-19 news, heightened fear of missing out, social comparison, and time-displaced for activities such as physical activity and green time. However, in line with the structured days hypothesis, getting involved in media-structured activities like television viewing might protect against mental health symptoms.

Depression and anxiety of medical students at Kunming Medical University during COVID-19: A cross-sectional survey

An isolation strategy was used to control the transmission and rapid spread of COVID-19 in Yunnan. As a result, students were supposed to stay at home and disrupted their outside activities. It led to a detrimental influence on students' mental health. The purpose of this study was to investigate the prevalence and risk factors of depression and anxiety among medical students and to provide ideas for the prevention of depression and anxiety in medical students. A cross-sectional survey was conducted among 2,116 medical students at Kunming Medical University from July 8 to July 16, 2020. Participants' demographic and living conditions were collected. Depression and anxiety were measured using the Patient Health Questionnaire 9 and General Anxiety Disorder-7, respectively. Uni- and multivariate logistic regression analyses were performed to detect risk factors associated with depression and anxiety. The prevalence rates of depression and anxiety among medical students were 52.5 and 29.6%, respectively. Depression was more likely to be caused by low grades, lack of physical exercise, drug use, irregular diet, extensive screen time on mobile phones, being greatly affected by the COVID-19 pandemic, and inadaptability to offline courses. Anxiety was more likely to be caused by lack of physical exercise, drug use, irregular diet, and inadaptability to offline courses. Depression and anxiety are highly comorbid. Our study showed predictive factors for depression and anxiety and identified a major mental health burden on medical students during the COVID-19 outbreak. More targeted measures should be taken to improve the mental state of students to reduce the incidence of depression and anxiety.

An Observational Report of Screen Time Use Among Young Adults (Ages 18-28 Years) During the COVID-19 Pandemic and Correlations With Mental Health and Wellness: International, Online, Cross-sectional Study

Background

Screen time (ST) drastically increased during the COVID-19 pandemic, but there is little research on the specific type of ST use, degree of change from before COVID-19, and possible associations with other factors. Young adults are a particular interest since previous studies have shown the detriment ST has on a young person’s health. With the combination of a life-changing pandemic, there are unreached depths regarding ST and young adults. This study aims to provide insight into these unknowns.

Objective

This study aims to assess ST in 3 domains (entertainment, social media [SM], and educational/professional) in young adults early in the COVID-19 pandemic; identify trends; and identify any correlations with demographics, mental health, substance abuse, and overall wellness.

Methods

An online, cross-sectional observational study was performed from September 2020 to January 2021 with 183 eligible respondents. Data were collected on ST, trauma from COVID-19, anxiety, depression, substance use, BMI, and sleep.

Results

The average total ST during COVID-19 was 23.26 hours/week, entertainment ST was 7.98 hours/week, SM ST was 6.79 hours/week, and ST for educational or professional purposes was 8.49 hours/week. For all categories, the average ST during COVID-19 was higher than before COVID-19 (P<.001). We found ST differences between genders, student status, and continent of location. Increased well-being scores during COVID-19 were correlated with greater change in total ST (P=.01). Poorer sleep quality (P=.01) and longer sleep duration (P=.03) were associated with a greater change in entertainment ST (P=.01). More severe depression and more severe anxiety was associated with the amount of entertainment ST (P=.047, P=.03, respectively) and greater percent change in SM (P=.007, P=.002, respectively). Greater stress from COVID-19 was associated with the amount of ST for educational/professional purposes (P=.05), change in total ST (P=.006), change in entertainment ST (P=.01), and change in ST for educational/professional purposes (P=.02). Higher Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) tobacco scores were associated with greater change in total ST (P=.004), and higher pack-years were associated with greater change in SM ST (P=.003). Higher alcohol scores (P=.004) and servings of alcohol per week (P=.003) were associated with greater change in entertainment ST. Quarantining did not negatively impact these variables.

Conclusions

There is no doubt ST and worsening mental health increased during COVID-19 in young adults. However, these findings indicate there are many significant associations between ST use and mental health. These associations are more complex than originally thought, especially since we found quarantining is not associated with mental health. Although other factors need to be further investigated, this study emphasizes different types of ST and degree of change in ST affect various groups of people in discrete ways. Acknowledging these findings can help young adults optimize their mental health during pandemics.

Influence of Screen Time during COVID-19 on Health-Related Quality of Life of Early Adolescents

This study investigated the influence of screen time during COVID-19 on the physical and mental domains of the health-related quality of life of early adolescents. A total of 860 early adolescents were recruited. The 36-Item Short Form Health Survey was used to measure their health-related quality of life. The early adolescents reported their average daily time spent using smartphones and computers and watching television over the previous week. The results show that most early adolescents, on average, spent less than 1 h to more than 4 h per day during COVID-19 using smartphones (n = 833, 96.9%) and computers (n = 783, 91.0%), and watching television (n = 804, 93.5%), respectively. Though early male and female adolescents spent a similar amount of time daily on average using smartphones, early male adolescents spent more time using computers and watching television than early female adolescents and reported a significantly lower mean score for three out of the eight scales in the physical and mental domains of health-related quality of life. While health-related quality of life of early female adolescents was negatively associated with time spent using smartphones only, early male adolescents were adversely affected by the time spent using smartphones and computers and watching television (p < 0.05). Therefore, early adolescents who spent more time using display devices during COVID-19 had significantly poorer outcomes in their health-related quality of life, and gender difference was found in the influence of screen time on health-related quality of life.

"Everything kind of revolves around technology": a qualitative exploration of families' screen use experiences, and intervention suggestions

Background

Managing children’s screen time is challenging for most families. Interventions have had limited success in reducing screen time, potentially due to a lack of understanding of the experiences, needs and recommendations of families. This study aimed to 1) understand the screen time experiences of families, particularly during COVID-19 lockdowns; and 2) explore parent and child suggestions for the design, components, and content of a screen time management program.

Methods

Parents and children from 30 families living in Victoria, Australia completed a semi-structured interview (63 interviews) via Zoom in October–November 2021. Parents were _maged 40.8 (± 8.9) years and predominantly female (90%). Children were _maged 11.4 (± 2.4) years and 47% female. The interviews were audio recorded, transcribed verbatim and analysed using inductive thematic analysis combined with a summative content analysis approach.

Results

Three themes under Aim 1 emerged. Theme 1) ‘Screen time management experiences and practices’, including rules and strategies, challenges, and the impact of COVID-19 lockdowns. Theme 2) ‘Impact of screens on family interaction and communication’ including conflicts within the family, reduced face-to-face interactions, and negative impact on child’s behaviour and wellbeing. Theme 3) ‘Benefits of increased screen time due to COVID-19 lockdowns’ including continuation of social interactions, extracurricular activities, improved technology skills and using screens as a ‘babysitter’. Findings from Aim 2 suggest that families want a screen time management program delivered online to parents and children, which includes static and interactive content that incorporates health information, alternative activities, cyber-safety information, tips for goal setting and rewards, screen monitoring tools, links to reputable information, and parent social connections. Reminders via text message or through the online platform would help maintain engagement in the program.

Conclusions

Families are experiencing challenges in managing the complex balance between the increased need for screens and the impact it has on the family. These findings provide valuable parent and child insights to assist in developing screen time management programs that are created with an understanding of the needs and challenges of families.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14007-w.

The Impact of Digital Screen Time on Dietary Habits and Physical Activity in Children and Adolescents

Background: Over the last few decades, the time children spend using electronic devices has increased significantly. The aim of the study was to evaluate the impact of screen time on dietary behaviors and physical activity in children and adolescents. Methods: An online survey was conducted among parents of preschool and school-aged children during the COVID-19 lockdown in Poland. There were 3127 surveys used in the analysis. Results: Survey responses referred to 1662 (53%) boys and 1465 (47%) girls, with a mean age of 12.1 ± 3.4 years. During a routine weekday, most children (71%) spent >4 h on educational activities using electronic devices, and 43% of children spent 1−2 h using devices for recreational purposes. The majority of children (89%) were exposed to screens during meals, and ate snacks between main meals (77%). There was an association between screen time and the exposure to screens during meals, and between screen time and time spent performing physical activity. Conclusions: This study revealed that the majority of children were exposed to screens during meals, which is a risk factor of obesity. The promotion of the judicious use of digital devices and healthy dietary habits associated with the use of screens may be an important component of obesity prevention strategies.