Background: The widespread use of digital devices causes adolescents to spend long periods of time in front of the screen. Aims: This study aimed to analyze the impacts of digital game addiction on the musculoskeletal system of secondary school children in Kayseri. Patients and Methods: A total of 1000 healthy children have been included. A questionnaire, which has been prepared by the researchers and questions children's socio-demographic knowledge, sport habits, durations of study, types of digital tools they use to play games, using positions and durations of use, has been applied to the children. A visual analog scale was used to assess pain intensity. Game addiction has been evaluated through Computer Game Addiction Scale for Children. Results: Between computer and phone use and neck pain, a significant correlation has been found (P < 0.05). Between game addiction and wrist, back and low back pain, a significant correlation has been detected. While males use more computer, tablet and are more addicted to games, the scores of head, wrist and back pain in females have been found out to be significantly high. Conclusions: As they cause musculoskeletal problems, the higher the time children consume in front of digital devices and the more they use it in wrong posture; the more the complaints about pain are.

BACKGROUND: Aging is a process that includes progressive physiological changes. Grip strength is an important indicator of current health in the elderly. OBJECTIVE: The aim of the study was to examine the correlation between dominant-hand grip strength (HGS) and cognitive function, mid-upper arm circumference, muscle-bone mass, balance, mobility, and daily life activities in elderly individuals living in nursing homes and determine the effect rates of these factors on HGS. METHODS: Seventy-two elderly individuals aged over 65 who lived in a nursing home were included in the study. Dominant HGS and mid-upper forearm circumference were measured. Muscle and bone masses were measured with bioelectrical impedance analysis. Mid-upper arm circumference was measured using a non-elastic tape. HGS was measured using a hand dynamometer. Cognitive function was evaluated with the Standardized Mini-Mental Test (SMMT); mobility and balance were evaluated with the Timed Up and Go Test (TUGT) and Berg Balance Scale (BBS); the Katz Activities of Daily Living Scale (KATZ ADL) was used to evaluate daily life activities. RESULTS: There was a significant correlation between HGS and muscle and bone masses (p < 0.001). A significant correlation was found between HGS and TUGT, ADL (p = 0.001, p = 0.016). There was no significant correlation between HGS and BBS (p = 0.2). There was a correlation between HGS and SMMT at the statistical significance limit (p = 0.055). On HGS, the Body Mass Index had a 64.9% effect; the muscle mass had a 30.9% effect; the TUGT had a 27.7% effect. These parameters were found to explain 59.9% of the variance. CONCLUSION: As a global indicator of muscle strength, HGS can be used to predict age-related functional changes. Approaches to increase physical activity levels in elderly can be effective in reducing age-related negativities.

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