Arch Pediatr Adolesc Med. Technology in the twenty-first century has become an integral part of everyday life for children. Figure S1 demonstrates the search strategy for Embase. Games Health J. Website accessed: January
For example, Romer, Related technology, and More showed that heavy video game usage, regardless of the sstudent, predicted depression among adolescents and young adults, which was corroborated by Lemmens, Valkenburg, and Peter with Dutch adolescents and by Gentile et al. Parents were asked questions concerning their health as well as their child's health in four areas: Physical Health Symptomology sick days in the last 12 months, general physical health, and two items—headaches and stomach aches—from an item symptomology checklist developed by the experimenters.
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Available from: www. However, the results paralleled what others have found in separate studies with children and adolescents and this comprehensive study was able to provide comparisons and contrasts between children of different ages.
Many obese children grow into overweight adults, when ongoing weight problems can shorten life expectancy. Maddison et al.
Why has Childhood Obesity Become a Paramount Problem in the United States?
A single study by Nguyen et al. What can parents do to counter the problematic impact of increased screen time? Archives of Disease in Childhood. The control group participated only in the programme and had no access to active video gaming.
Contact us Submission enquiries: bmcpediatrics biomedcentral. Children with one or more electronic devices relatd the bedroom—TVs, computers, video games and cellphones—were also far more likely to be overweight or obese. Cancer trends. Reference lists of included articles were also reviewed for eligibility. No guidelines currently exist regarding the optimal intervention duration period, and more research needs to be undertaken to determine this. In this case, the intervention also served as primary prevention [ 2527 ]. Another limitation is inherent in the way screen time was measured.
One study included participants who engaged in binge eating or overeating behaviours [ 9 ]. Thus, Hypothesis 2 was partially child obesity related to technology student for teenagers. Chen et al. We hope you will find these useful. Thus, overall, unhealthy eating did significantly predict ill-being for each age group although in some cases, this was moderated by technology use. World Health Organization. With the number of people living with overweight and obesity worldwide projected to rise if trends remain unchanged, concerted action is needed — now more than ever — to help reverse these trends.
What did the project achieve?
There is technlogy comment to be made on the longitudinal influence of video games on the incidence of obesity as only one longitudinal study was identified, and this study drew upon data collected more than 10 years ago [ 26 ]. Current recommendations for nutritional management of overweight and obesity in children and adolescents: a structured framework. Three hundred and twenty articles, including articles from initial search and one article through reference lists of included full text articles, were identified. There are still many limitations and areas of improvement in this field.
Hale L, Guan S. Access to VG and never user was associated with obesity in crude model and model adjusted for same covariates. Bureau tp Labor Statistics. TV Viewing and Childhood Obesity Studies that follow children over long periods of time have consistently found that the more TV children watch, the more likely they are to gain excess weight. Obesity and television viewing in children and adolescents. Academy of Nutrition and Dietetics.
This study has several limitations. The review allowed comparison between the three types of technology-based interventions by analysing the proportion of studies demonstrating positive effects on weight-related outcomes. Hale L, Guan S. In addition, there were low levels of selective reporting, leading to a reduced likelihood of reporting bias. Two studies focused exclusively on participants of one particular ethnicity; one focused on Chinese-American adolescents [ 27 ], while the other focused on African-American girls [ 23 ]. Effect of electronic media on children. Other studies have refined these results showing that more primary attention to television, but not overall television time, predicted higher BMIs in American adolescents Bickham et al.
Annals of Internal Medicine. Obesity is a major public health problem in the Rdlated. Stigmatization of obese children and adolescents, the importance of gender. Around 17 per cent of boys and 15 per cent of girls between the ages of two and 15 years are obese in the UK. In addition, older children are consuming regular soda, energy drinks, and coffee drinks often with teens consuming more overall than preteens and children.
If there is a family tendency to become overweight, parents need to be obestiy more aware of making healthy food choices for the whole family. American Journal of Health Behavior. Dietary interventions Only articles on dietary outcomes were extracted from the databases by two researchers. Ministry of Health. Alcohol is responsible for most drug-related deaths in the teenage population.
Article ID For example, randomized controlled child obesity related to technology student of food commercials embedded in animated programs technolpgy that advertising increases automatic eating for foods not being advertised, 19 and even a single second commercial impacts brand preferences. Newsletter subscription. For preteens, however, this was true with the exception of one form of ill-being where factoring out daily media and technology use did not moderate the impact of lack of physical activity on behavior problems. Two studies focused exclusively on participants of one particular ethnicity; one focused on Chinese-American adolescents [ 27 ], while the other focused on African-American girls [ 23 ].
Two trials created a behavioral contingency where the child was required to be physically active to watch TV, and two trials examined technology as a strategy to incorporate physical activity into video games. More food is prepared away from home. Don't see the graphic above? There is limited comment to be made on the longitudinal influence of video games on the incidence of obesity as only one longitudinal study was identified, and this study drew upon data collected more than 10 years ago [ 26 ].
Author manuscript; available in PMC Jan Path model predictions: predicting ill-being from unhealthy eating after factoring out media use and demographics Hypothesis 1 ; predicting ill-being from physical activity after factoring out media use and demographics Hypothesis 2 ; and predicting ill-being from media use after factoring out demographics, unhealthy eating and physical activity Hypothesis 3. See other articles in PMC that cite the published article. Discussion The current study was designed to test several hypotheses to better understand the causes of ill-being among children, preteens, and teenagers. We do not provide medical advice.
Advances in technology have also increased time spent using screens, both at work and during leisure time. In addition, F-tests demonstrated that with the exception of hours spent watching television, daily hours of all forms of media differed significantly between age groups. Exhibitor Interviews virtual. However, two studies also included participants who were normal weight and presented this data separately.
The complexity of obesity in Child obesity related to technology student adolescents: relahed with quantity and type of technology, sleep duration and quality, academic performance and aspiration. Address correspondence to Thomas N. Increasingly, researchers are questioning whether poor nutrition and lack of exercise are the only factors responsible for the obesity epidemic. According to the World Health Organizationobesity has nearly tripled since Nutr Metab Cardiovasc Dis. Among major ethnic groups, only non-Hispanic Asian men There were inconsistencies in the effectiveness of these interventions to reduce sedentary time: ten trials significantly reduced sedentary time whereas seven did not.
World Health Organization. Three hundred and twenty articles, including articles from initial search and one article through reference lists of included full text articles, were identified. To decrease the consumption of candies and pastries while increasing the intake of fresh fruits and nuts second year. Most of the studies showed decreased BMI z-scores of obese children and adolescents after 6 weeks to 6 months for each of the intervention studies. Clin Nutr.
Your Environment. Your Health.
Monthly lifestyle education sessions focusing on childhood obesity and its causes, cooking methods, and plans to reduce inactivity were provided to parents of the participants. When children eat what they watch: impact of television viewing on dietary intake in youth. Furthermore, it is hard to distinguish isolated impacts of nutrition care in childhood obesity because of the complex and interacting components of the multidisciplinary interventions.
In school settings, 2 RCTs and 2 intervention techjology reported weight loss. Most of the health problems associated with obesity will become obvious in adulthood. Creating environments that child obesity related to technology student active lifestyles will take policy change at the federal, state, and local levels, as well as the cooperation of the private sector and community groups. Smith et al. Associations between indicators of screen time and adiposity indices in Portuguese children. Time spent playing video games is quickly exceeding TV viewing in children [ 8 ], potentially due to the virtual and immersive social interaction [ 9 ] and the proliferation of inexpensive or free digital games on a variety of devices.
In a recent study, Junco showed that assessing screen usage through estimated time measurements is inherently flawed by actually tracking people's computer usage and finding that the raw screen time estimates were seriously overstated. When examining the impact of technology use on ill-being for teenagers, obeity strong pattern emerged. This is the first review to search the literature to identify all studies, which explore the effectiveness of technology-based interventions, employed as secondary prevention, to address childhood obesity. After factoring out both demographic data for parent and child, unhealthy eating, and lack of physical activity, media usage will predict ill-being. Overall, however, the explanation that living in a technococoon may be responsible for the lack of physical activity among children, preteens, and teenagers. This single item was used to create a scale of physical activity. What is overweight and obesity?
Should Medical Medicine Be Applied? Essay
The findings of this review showed a limited potential of technology-based interventions, employed as secondary prevention, to address childhood technoloy. The following data were extracted: authors and year of publication, study design, child obesity related to technology student location, number of participants in analysis, gender, age and characteristics of participants, study retention rate, the intervention and control, intervention duration and intensity, outcomes measured, follow up details and key findings. Childhood obesity is associated with a multitude of co-morbidities, including cardiovascular disease, type 2 diabetes and orthopaedic problems [ 6 ]. The experimental studies of reducing screen time leading to less weight gain targeted total screen time from television, video games, and computers altogether.
Childhood obesity facts.
JAMA Pediatr. Another limitation is inherent in the way screen time was measured.
Christison A, Khan HA.
Public Health Nutr. Weight that is higher than what is considered healthy for a given height is described as overweight or obese, according to the Centers for Disease Control and Prevention. Turel,USA. What are the roles of mobile and other new digital media use and patterns of use as they relate to obesity for children with different characteristics?
We would like to acknowledge Lori Steib and Stacie Davis for their assistance in retrieving journal articles for the review. It makes people feel tired and contributes to poor concentration during the day cardiomyopathy — a problem with the heart muscle, caused when extra effort is needed to pump blood. The author student a physiologist and obesity theorist at the Nutrition and Obesity Research Center, the University of Alabama at Birmingham. In spite of these beneficial effects, we are facing barriers to providing this intervention due to the time and cost of developing more methods for countering childhood obesity. The nutrition transition: worldwide obesity dynamics and their determinants. There is limited comment to be made on the longitudinal influence of video games on the incidence of obesity as only one longitudinal study was identified, and this study drew upon data collected more than 10 years ago [ 26 ]. For children and adolescents younger than 20, overweight and obese are based on BMI-for-age growth charts, available from the CDC.
The high risk of performance bias found in three studies causes of obesity short essay examples concerning particularly in the lack of blinding of participants and personnel. The path model for the three hypotheses is depicted in Fig. Food advertising is another explanation for the link between screen media exposure and excess energy consumption. Research Methods Observational studies will be useful for documenting the use of and exposures to screen media and changes over time, identifying associations, and generating hypotheses about causal relationships and possible moderators and mediators of those associations. It can even cause depression. Strengths and limitations In terms of study strengths, the majority of studies used and described method of randomisation appropriately, leading to a reduced likelihood of selection bias. Screen time and sleep among school-aged children and adolescents: a systematic literature review.
Screen time – the evidence
Acknowledgements: We would like to acknowledge Lori Steib and Stacie Child obesity related to technology student for their assistance in retrieving journal articles for the review. Skip to main content. Life becomes a bit more complex, a bit more challenging, and a bit more reformed. The modification of dietary risk in terms of nutrients, foods, dietary patterns, and dietary behaviors has been applied to changing problematic dietary factors. Current recommendations for nutritional management of overweight and obesity in children and adolescents: a structured framework.
A simple procedure for general screening for functional disability in elderly patients. Another limitation is the broad categories used in assessing screen time. Technology-based interventions, such as social media, mobile phones, websites and active child obesity related to technology student games addressing childhood obesity, occurring in all settings and with the aim of decreasing BMI and other weight related outcomes, were included. National Center for Health Statistics. Parents were asked their gender, age, education level, and ethnic background dummy coded as well as the zip code of their residence, which was converted to a median income using the Census Bureau data U. At 2 year follow-up, this difference was not statistically significant. More television, video games, and computer use among American teens predicted increased body fat Barnett et al.
Regression coefficients beta weights for unhealthy eating predicting Ill-being after factoring out demographics and technology use Hypothesis technology student. Copyright notice. Lack of physical activity did predict total ill-being as well as two components of ill-being—psychological issues and behavior problems—after factoring out demographics and total daily technology use as well as all 10 types of daily technology use. The complexity of obesity in UK adolescents: relationships with quantity and type of technology, sleep duration and quality, academic performance and aspiration.
Why did we investigate weight gain, overweight and obesity?
No guidelines currently exist regarding the optimal intervention duration period, and more research needs to be child obesity related to technology student to obexity this. However, many of the hypothesized mechanisms linking screen media exposure to obesity, such as concurrent eating, advertising, and insufficient sleep, lead us to hypothesize that most emerging digital media, with their increased abilities for interactivity, immersion, involvement, mobility, and timely feedback, could have similar or even more profound effects on causing weight gain in children. International Journal of Obesity.
A further systematic review by Chen et al.
International Journal of Obesity.
The other school received no intervention.
None of the three non-RCT intervention studies observed weight loss among youth who were normal weight or overweight. This research will help achieve a better understanding of the role of environmental factors in obesity and diabetes, which is necessary for developing prevention strategies.
The child obesity related to technology student 4 articles are discussed in Part 2 they pertain to exergames [ 22 — 24 ] or general video games [ 25 ], technollogy they present aggregate findings. For the usual treatment group, a minute monthly family meeting based on the same NP components was provided over an 8-month period. The findings, which were published in the journal of Pediatric Obesity on Tuesday, reviewed 37 studies and found 25 percent of children 4 to 18 years old may be unaccounted for because of the shortcomings of the measurement. Pak J Nutr.
Additional therapeutic contact took the form of telephone coaching, SMS or email communications. Cancer types. PLoS Med [Internet]. Once a year, the children complete a 7-day sleep diary and questionnaires about their sleeping patterns, their progress through puberty and their use of technology.
Physical activity and sedentary behavior across three time-points and associations with social skills in early childhood. Sedentary behavior in a cohort of 8-to year-old children at elevated risk of obesity. No adjusted model reported. Obesity in Children and Technology. In school settings, 2 RCTs and 2 intervention studies reported weight loss.
When the path model was tested for Hypothesis 2—which included examining causes of obesity short essay examples daily physical activity predicted ill-being after factoring out parent and child demographics as well as daily media and technology usage—the results differed by age group. Health, United States, With special features on socioeconomic status and health. Website accessed: January Demographic data Parents were asked their gender, age, education level, and ethnic background dummy coded as well as the zip code of their residence, which was converted to a median income using the Census Bureau data U. For physical problems, factoring out total technology use, daily music, and daily television viewing removed the statistical effect of unhealthy eating but no other technologies did so. Health Education Research. In some areas of the Midlands, about a quarter of year olds are obese.
Hilpert,Germany 6. VG Access in Bedroom, coded with VG use before bed no access and no use, use and no access, access and no use, use and access. Descriptive characteristics of the included articles are reported in Table 1. Am J Health Promot. Nutritional theme-based topics included controlling healthy lifestyle behavior, food preparation, portion control, eating behavior, food composition, and the importance of being physically active during leisure time. Twice-weekly group sessions at local community site CAFAP targeting the PA, sedentary behavior, and healthy eating behaviors of overweight adolescents. An increase in exposure to technology goes hand in hand with a decrease in physical activity.
Footnotes Drs Robinson and Banda conceptualized the manuscript, drafted the initial manuscript, and critically reviewed and revised the manuscript; Drs Hale, Lu, and Fleming-Milici conceptualized the manuscript and critically reviewed and revised the manuscript; Drs Calvert and Wartella critically reviewed and revised the manuscript; and all authors approved the final manuscript as submitted. Website accessed January The results of Hypothesis 3 testing see Table 4 suggested that technology use did predict ill-being. The findings of this systematic review produced results which were consistent with other, similar systematic reviews, of which there is a limited number. Metrics details. Strengths and limitations In terms of study strengths, the majority of studies used and described method of randomisation appropriately, leading to a reduced likelihood of selection bias.
Study weakness included a lack of methodological clarity. Adamo et al. The eleven studies were conducted by different investigators and different institutions in various locations worldwide; study variance must, therefore, be taken into consideration. Recent rapid economic development, changes to agriculture and globalisation have impacted the foods and drinks we consume — known as the nutrition transition.
Lifetime overweight and obesity: impact on cancer survival. Older versus newer media and the well-being of United States youth: Results From a national longitudinal panel. They made several important discoveries. Older but still vulnerable: All children need protection from food marketing.
Studies have revealed that children consume a large proportion of their daily calories and meals while watching screen media. Sixteen of the 17 trials reported body weight or body composition as a secondary outcome. Childhood obesity is associated with multiple environmental factors, including early life exposure to smoking and air pollution. Nutrition diagnosis is the act of identifying a disease or condition from its signs and symptoms by a dietetics profession.
Electronic gaming and the obesity crisis. Try out PMC Labs and tell us what you think. Providing food to treat adolescents at risk for cardiovascular disease. According to the CDC, overweight and obesity are associated with at least 13 types of cancer.
Public Policy Exercise and Physical Activity. Reference lists of included articles were also reviewed for eligibility. The current systematic review addressed a specific gap in knowledge in that it focused on the role of various, current technology-based interventions, employed as secondary prevention as opposed to primary, related address childhood obesity. For preteens, however, this was true with the exception of one form of ill-being where factoring out daily media and technology use did not moderate the impact of lack of physical activity on behavior problems. For teenagers, however, it appears that the culprit in predicting ill-being of any type is primarily technology and that outside of behavior problems it appears that overuse of any technology significantly predicts ill-being. Finally, lack of physical activity did not significantly predict attention problems for teenagers after factoring out demographics and daily technology use. Screen media exposure is one of the best-documented causes of obesity in children and, likewise, obesity is one of the best-documented outcomes of screen media exposure.
Although technology has it perks and has made a remarkable contribution to our society, it is often overlooked that it is negatively affecting our health. Sleep Med Rev. This report provides recent evidence of video game use by teenagers, including use of different devices. Danner FW.
Body mass index BMI Parents were asked the approximate weight and height of both themselves and their child. Try out PMC Labs and tell us what you think. This research was completed on 31 January Obesity is a major public health problem in the UK.
His team were the first to show a relationship between sleep duration and obesity in a large population of adults, while demonstrating that alterations in appetite hormones could mediate this relationship. What are the causal relationships and interactions between obesity-related outcomes and the following:. Path model predictions: predicting ill-being from unhealthy eating after factoring out media use and demographics Hypothesis 1 ; predicting ill-being from physical activity after factoring out media use and demographics Hypothesis 2 ; and predicting ill-being from media use after factoring out demographics, unhealthy eating and physical activity Hypothesis 3. Table 4 Regression coefficients for technology use predicting Ill-being after factoring out demographics, unhealthy eating and lack of physical activity Hypothesis 3. The one exception was behavior problems which were only predicted by total daily technology use and no individual uses.
Limitations This study has several limitations. Scale construction After first converting all relevant items to z-scores, factor analyses—using a. The researchers aim to help trchnology obesity in children causes of obesity short essay examples adolescents. The authors found that six of eight studies confirmed that internet-based interventions, either alone or in combination with other behavioural interventions, had significant beneficial effects on reported outcomes. Lack of physical activity did predict total ill-being as well as two components of ill-being—psychological issues and behavior problems—after factoring out demographics and total daily technology use as well as all 10 types of daily technology use. Future research needs to address the aforementioned limitations of currently published findings.
Lamboglia et al. Lowry,USA. JAMA Pediatr. No association found in crude model. Changes in fiber intake and body weight of multi-component intervention program among bogor obese children, Indonesia.
What's the problem and who does it affect?
Your body stores unused energy kilojoules as body fat. The Grapevine. Part 3. Obesity can result in serious health problems in childhood and later life.
Evaluation of the Web-based computer-tailored FATaintPHAT intervention to promote energy balance among adolescents: results from a school cluster randomized trial.
Furthermore, we suggest evidence-based practice in nutrition care for obese children and adolescents by considering obesity-related individual and environmental dietary risk factors. Content on this website is provided for information purposes only.
Moreover, it was difficult to identify common characteristics in papers with similar findings and, due to the heterogeneity and poor quality of included studies, caution should be used when interpreting the results in relation to the review question and when translating to professional practice.
Interestingly, more than half of the children had a television in their bedroom and either handheld video games or video game consoles.
Understanding how these modifiable factors influence weight gain, overweight and obesity is crucial for addressing this, from a personal level right through to informing policy. What is energy balance?
If they identify links, then simple lifestyle changes might help children keep to a healthy weight. Table 3 Regression coefficients beta weights for physical activity predicting Ill-being after factoring out demographics and technology use Hypothesis 2. Emily Almond from our Science team explores one of the key findings: how screen time can affect weight gain, overweight and obesity. The researchers aim to help tackle obesity in children and adolescents. Over the 7 months of the trial, children in the school that received the screen-time reduction curriculum significantly reduced their television viewing, video game use, and number of meals eaten in front of the television. Search all BMC articles Search. J Telemed Telecare [Internet].
The review suggests that technology-based interventions may be effective in terms vhild demonstrating positive effects on weight-related outcomes, and that the effectiveness may depend on the type of technology used. Parents were asked their gender, age, education level, and ethnic background dummy coded as well as the zip code of their residence, which was converted to a median income using the Census Bureau data U. Thus, Hypothesis 2 was only partially supported for preteens. Committee on Public Education. Skip to main content. Consuming more energy than we use up, over the long term, leads to weight gain.
The childhood obesity epidemic has reached million individuals, and nearly one in five children and adolescents are overweight or obese. Int J Obes Lond. Or that women can have different heart attack symptoms? Two studies reported higher energy, protein, and fat intake after the intervention compared to baseline.
Further, increased daily use of most individual technologies significantly predicted total ill-being, psychological issues and attention problems with roughly dtudent predicting physical problems. Evidence also suggests that the more time adolescents spend using high-tech equipment, such as computers, mobile phones and games consoles, the less likely they are to get enough sleep. Am J Clin Nutr [Internet]. Hyattsville, MD: U. What is overweight and obesity?
Overall, there is inconclusive evidence that technllogy games are associated with obesity and, due to the lack of longitudinal studies, virtually no evidence to evaluate if video game play directly contributes to obesity or weight gain in children. Obese children may be at a greater risk for allergies. The following search terms were used: childhood obesity, obese children and adolescents, nutritional intervention, and dietary outcomes.
Related to cuild of value for behaviour change or competing values as evidenced by intake or overconsumption of energy-dense foods for meal or snack. Obesity in Children and Technology. Six studies 45 — 50 are summarized in Table 2 among the dietary intervention studies that were selected by titles and abstracts. Give feedback about this page. Arch Intern Med.
Clinical guidelines for weight management in New Tecnology children and young people. Regarding general nutritional themes, energy balance, food labeling, diet variety, fast food, lunchbox food, portion size, and recipe modification were the key topics reinforced in each session, delivered in 12 group education sessions with parents and adolescents together. Leisure time spent sitting in relation to total mortality in a prospective cohort of US adults. Encourage your kids to get off the couch by playing with them. Chan School of Public Health who was not involved with the UNICEF report, says the rise of childhood obesity in developing countries is an ominous sign for those countries' health-care systems. Inability or lack of desire to manage self-care. Face-to-face training was used, with a book for guidance when necessary, for weekly nutrition sessions for the participants.
Many endocrine disruptors are synthetic chemicals. The relationship between screen media exposure and obesity has been widely studied. See other articles in PMC that cite the published article. Reference lists of the included articles were scanned for relevance. Association between television in bedroom and adiposity throughout adolescence. Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis.
Figure S3 is a pictorial risk of bias chiod for each of the studies See Additional file 3. The ensuing sedentary lifestyle can perhaps best be addressed by using the screen, their main source of entertainment and communication, as a medium to educate and motivate the child to adopt a healthier lifestyle.
Access to VG and never user was associated with obesity in crude model and model adjusted for same covariates.
Screen time can also increase exposure to marketing of foods and drinks that promote weight gain.
Nutr J. Further, more investigation of potential mediation and moderation models [ 2040 ] will help to advance the understanding of the complex relationship between video game play and obesity via behavioral mechanisms.
Fhild survivors face not only physical symptoms. Some endocrine disruptors have been linked to various diseasesincluding diabetes. Published online Dec Do we fatten our children at the television set? Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. Sleep patterns and obesity in childhood.
There was no published review protocol. Contact us Submission enquiries: bmcpediatrics biomedcentral. Facts and Figures.
Effectiveness of a multi-component intervention for overweight and obese children Nereu program : a randomized controlled trial. Identification of a dietary pattern associated with greater cardiometabolic risk in adolescence. A meta-analysis of active video games on health outcomes among children and adolescents. The road to obesity or the path to prevention: motorized transportation and obesity in China.
Technolog face-to-face training, the book General Knowledge of Nutrition whenever necessary, and a guide for health instructors; 15 to 45 minutes, once a week; 12 weekly sessions; concepts of overweight and obesity, food groups and energy, and obesogenic situations and strategies to overcome them No nutrition education Only the intervention reduced BMI z-score Smith et al. COVID survivors face not only physical symptoms. Report No. Physiol Behav.
This study should give us a better understanding of the relationship between obesityy, sleep deprivation, academic performance and use of high-tech equipment, such as computers, games consoles and mobile phones. Of the eleven studies reviewed, three showed a positive relationship between technology-based interventions and weight-related outcomes in overweight or obese children. Intervention intensity was reported in all but two studies [ 1626 ] and was highly heterogeneous. Website accessed March Psychiatry Journal. Comput Human Behav. Received : 06 June