Increased Computer Use is Associated with Trunk Asymmetry That Negatively Impacts Health-Related Quality of Life in Early Adolescents

Investigating the effects of postural habits and awareness on early adolescent's internet addiction levels

OBJECTIVES

Early adolescence is a period of growth and development determined by the onset of puberty, during which important changes in psychological development and social roles occur. Excessive use of the internet, especially in adolescents in this period, causes health problems such as postural disorders, vision problems, sedentary life, and unbalanced nutrition. When the studies are analyzed, it is observed that postural disorders are observed in children and adolescents. This study was planned to investigate the effect of postural habits and awareness on the level of internet addiction in early adolescents.

METHODS

Physical characteristics of the participants (age, height, weight, gender, body mass index) were recorded. Duration and purpose of internet use and internet addiction were determined with the Young Internet Addiction Test-Short Form, body composition sensitivity level with the Body Awareness Questionnaire, and postural awareness with the Postural Habit and Awareness Scale.

RESULTS

There was a significant positive correlation between internet addiction and duration of internet use (r=0.466) (p=0.000). In addition, there was no relationship between internet usage time and body awareness (r=-0.117) (p=0.084) and postural awareness and habit (r=-0.017) (p=0.798). When internet addiction was compared with body awareness, a significant relationship was found in the opposite direction (r=-0.145) (p=0.031). When internet addiction was compared with postural awareness and habit, a positive relationship was found (r=0.190) (p=0.005).

CONCLUSIONS

Our study showed that internet addiction negatively affects body awareness, and does not affect postural habits, but positively affects postural awareness.

Assessing Non-Specific Neck Pain through Pose Estimation from Images Based on Ensemble Learning

BACKGROUND

Mobile phones, laptops, and computers have become an indispensable part of our lives in recent years. Workers may have an incorrect posture when using a computer for a prolonged period of time. Using these products with an incorrect posture can lead to neck pain. However, there are limited data on postures in real-life situations.

METHODS

In this study, we used a common camera to record images of subjects carrying out three different tasks (a typing task, a gaming task, and a video-watching task) on a computer. Different artificial intelligence (AI)-based pose estimation approaches were applied to analyze the head's yaw, pitch, and roll and coordinate information of the eyes, nose, neck, and shoulders in the images. We used machine learning models such as random forest, XGBoost, logistic regression, and ensemble learning to build a model to predict whether a subject had neck pain by analyzing their posture when using the computer.

RESULTS

After feature selection and adjustment of the predictive models, nested cross-validation was applied to evaluate the models and fine-tune the hyperparameters. Finally, the ensemble learning approach was utilized to construct a model via bagging, which achieved a performance with 87% accuracy, 92% precision, 80.3% recall, 95.5% specificity, and an AUROC of 0.878.

CONCLUSIONS

We developed a predictive model for the identification of non-specific neck pain using 2D video images without the need for costly devices, advanced environment settings, or extra sensors. This method could provide an effective way for clinically evaluating poor posture during real-world computer usage scenarios.

Surface electromyography (sEMG) biofeedback posture training improves the physical and mental health of early adolescents with mild scoliosis: A qualitative study

Introduction

Asymmetry in paraspinal muscle activities is observed in adolescent idiopathic scoliosis and may be of value for predicting curve progression. We have reported the effects of the surface electromyography biofeedback posture training program in improving the symmetry of paraspinal muscle activities and reducing the curve progression of early adolescents with mild scoliosis. This study further explored their subjective experience of the training program on posture correction and health-related quality of life.

Methods

Using purposive sampling, 13 early adolescents aged between 11 and 13 years with mild scoliosis participated in semi-structured in-depth interviews after completing 30 sessions of training. The data were recorded, transcribed, and coded using thematic analysis with NVivo 10. Significant statements and phrases were categorized into themes and subthemes.

Results

As assessed by X-ray, five early adolescents showed at least a 5° Cobb angle reduction in spinal curvature, while eight showed no significant curve progression (a Cobb angle change under 5°). Several subthemes related to the benefits of the training program on the health-related quality of life were generated, namely (a) posture correction, (b) improvement in body appearance, (c) restoration of muscle relaxation, (d) reduction in bodily pain and fatigue, (e) enhancement of self-confidence/self-image, and (f) improvement in social functioning.

Conclusions

Given its positive effects, the sEMG biofeedback posture training program has the potential to be an alternative early intervention for early adolescents with mild scoliosis. Further empirical studies need to be carried out to substantiate its effectiveness and evaluate the sustainability of its benefits over time.

Exercise Selection and Common Injuries in Fitness Centers: A Systematic Integrative Review and Practical Recommendations

Weight resistance training (RT) is an essential component of physical conditioning programs to improve the quality of life and physical fitness in different ages and populations. This integrative review aimed to analyze the scientific evidence on the relationship between exercise selection and the appearance of musculoskeletal injuries in physical fitness centers (PFC). The PubMed or Medline, EMBASE or Science Direct, Google Scholar and PEDro databases were selected to examine the available literature using a Boolean algorithm with search terms. The review process was performed using the five-stage approach for an integrative review and it was reported according to the PRISMA in Exercise, Rehabilitation, Sport Medicine and Sports Science (PERSiST) guidelines. A total of 39 peer-reviewed articles (Price index = 71.7%) met the inclusion criteria and evaluated the link between exercise selection and the incidence of injuries in exercisers who regularly attend PFC. Most injuries occur to the shoulders, elbows, vertebrae of the spine, and knees. Although the injury etiologies are multifactorial, the findings of the reviewed articles include the impacts of overuse, short post-exercise recovery periods, poor conditioning in the exercised body areas, frequent use of heavy loads, improper technique in certain exercises, and the abuse of performance- and image-enhancing drugs. Practical recommendations addressed to clinical exercise physiologists, exercise professionals, and health professionals are given in this paper. The exercise selection in RT programs requires professional supervision and adhering to proper lifting techniques and training habits that consider the anatomical and biomechanical patterns of the musculoskeletal structures, as well as genetic, pedagogical, and methodological aspects directly related to the stimulus-response process to mitigate the occurrence of RT-related injuries in PFC.

Predictors of Musculoskeletal Pain among Primary School Students Using Smartphones in Nakhon Si Thammarat, Thailand

School-age children increasingly use smartphones to conduct their learning activities; increasing reports of disorders related to smartphone use exist, including visual-related symptoms, stress, and musculoskeletal pain. This study aimed to examine risk factors for musculoskeletal pain among primary school students using smartphones. A cross-sectional study was conducted with 233 school-aged children in Nakhon Si Thammarat, Thailand. Data collection used a questionnaire for musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire with ISO 11,226:2000. Through Chi-square, t-test, and logistic regression analysis, factors independently associated with musculoskeletal pain were determined. An important factor in the development of musculoskeletal pain was the prolonged use of smartphones for longer than 60 min, particularly among children aged 6-9 years old. In regards to musculoskeletal pain, almost 53% of the students used their smartphones while lying down. Posing in a prone position while using a smartphone was 7.37 times more dangerous than sitting. The laying position tilts numerous organs at varying angles, especially the upper arm. The risk of musculoskeletal complaints must be reduced by educating parents, children, and the relevant government organizations about safe smartphone usage. The mentioned factors may be used to anticipate the onset of musculoskeletal pain caused by smartphone use in young children.

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.

Ocular and musculoskeletal changes in the pediatric population using gadgets

Objective. Analysis of ophthalmological and musculoskeletal changes secondary to the use of electronic devices with digital screen, such as smartphones, laptops, computers or tablets. Material and Methods. This paper represents is a prospective observational study of 35 participants with ages between 6 and 17. The ophthalmological exam was carried out for all participants in the Ophthalmological Clinic of "Sf. Spiridon" Emergency Hospital, Iaşi, and the exam of musculoskeletal disorders took place at "Sf. Maria" Pediatrics Hospital, Iaşi. A questionnaire including 14 questions was also distributed for the symptoms caused by the use of digital screen electronic devices. Results. The mean age of participants was 11,29 ± 3,54 years, predominantly female children (62,9%). Convergence insufficiency has been identified in all patients with accommodative disorders and in 18.2% of the children with amblyopia (p = 0.001). The frequency of cases with dry eye syndrome (DES) was 9.1% in the patients with accommodative disorders and 18.2% in the patients with amblyopia. In the entire studied group of patients, the smartphone was the most frequently used electronic device, being found in 77.1% of the cases. As for the gender, about 54% of the boys spent more than 5 hours on electronic devices, while 54.5% of the girls spent between 3 to 5 hours. Among the symptoms that occur during the use of gadgets, pain in the neck, shoulders and back was found most often, being identified in 29 participants. Conclusion. Pre-existent ophthalmological symptoms can be exacerbated by prolonged use of digital screen electronic devices. Musculoskeletal symptoms were encountered in high numbers in all participants, which suggests that musculoskeletal changes must be treated with great importance in Computer Vision Syndrome. Also, the symptomatology determined by the use of gadgets was more frequently associated with males than females. Abbreviations: CVS = computer vision syndrome, VA = visual acuity, VDT= visual display terminals, DES = dry eye syndrome.

Influences of Smartphone and Computer Use on Health-Related Quality of Life of Early Adolescents

This study explored the daily amount of time that early adolescents spent using smartphones and computers, and their influences on health-related quality of life of early adolescents. A total of 650 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 over the course of the previous week; the majority of early adolescents (71%) spent approximately 1 h a day or less using computers on average or reported no computer use, and 98.8% indicated that they used smartphones for less than 1 h to more than 4 h per day on average. The results showed that the average daily time spent using smartphones was significantly negatively associated with two scales in the physical domain and four scales in the mental domain of health-related quality of life of early adolescents, whereas the average daily time spent using computers was significantly negatively associated with two scales in the mental domain (p < 0.05). Therefore, early adolescents who spent more time using smartphones and computers have significantly poorer outcomes in the physical and mental domains of their health-related quality of life.