Changes in Low Back Muscle Activity and Spine Kinematics in Response to Smartphone Use During Walking

Choi, Seobin; Kim, Misol; Kim, Eunjee; Shin, Gwanseob

doi:10.1097/brs.0000000000003808

Cited by 10 publications

(11 citation statements)

References 28 publications

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“…Additionally, walking while using a smartphone may slightly increase the pelvic anterior tilting, knee hyperextension, and ankle plantar flexion, thus, rendering less muscle activity of the gluteus maximus and medius, biceps femoris, rectus femoris, gastrocnemius, and tibialis anterior compared to when walking without using a smartphone. In summary, the flexed head during walking while using a smartphone lowers the center of gravity, activates more muscles of the neck ( Yoon et al, 2020 ) and lumbar area ( Choi et al, 2021 ), and lessens the activation of the extensor muscle in the lower extremity. Muscle activity imposes less load to the less active muscles and greater load to more active muscles ( Kouzaki and Shinohara, 2006 ).…”

Section: Discussionmentioning

confidence: 98%

“…A recent study found that healthy young individuals walked with more thoracic kyphosis and lumbar lordosis when using a smartphone compared to when walking without using a smartphone ( Choi et al, 2021 ). Additionally, walking while using a smartphone may slightly increase the pelvic anterior tilting, knee hyperextension, and ankle plantar flexion, thus, rendering less muscle activity of the gluteus maximus and medius, biceps femoris, rectus femoris, gastrocnemius, and tibialis anterior compared to when walking without using a smartphone.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, healthy young individuals walked with more thoracic kyphosis and lumbar lordosis when using a smartphone compared to when walking without using a smartphone. The results show that the routine use of a smartphone while walking could be a risk for low back pain and musculoskeletal disorders ( Choi et al, 2021 ). Betsch et al (2021) investigated that the excessive smartphone use can lead to major changes in the spinal posture, such as increased trunk inclination and thoracic kyphosis while standing and walking.…”

Section: Introductionmentioning

confidence: 99%

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The effect of the use of smartphone while walking on the electromyography activity of the lower extremity in young students

Lee¹,

Jeon²

2021

J Exerc Rehabil

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The study aims to determine the effects of smartphone use on the muscle activity of the lower extremity when walking. Twenty-three healthy young students were asked to perform a 10-m walk test between normal walking without using a smartphone and walking while two-handed texting on a smartphone. The electromyography activities of the lower extremity were quantified. To quantitatively assess the cervical flexion range of smartphone users, the cervical flexion angle was measured using a digital goniometer. The study results indicated that the use of a smartphone while walking could lessen muscle activity on the tibialis anterior, gastrocnemius, rectus femoris, gluteus maximus, and gluteus medius than that of normal walking without using a smartphone. The walking speeds were reduced in walking while using a smartphone compared with normal walking without using a smartphone. The cervical flexion angle was greater when walking while using a smartphone compared to that of normal walking without using a smartphone. These results suggest that frequently using a smartphone while walking could be a potential risk for musculoskeletal problems.

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The effect of the use of smartphone while walking on the electromyography activity of the lower extremity in young students

Lee¹,

Jeon²

2021

J Exerc Rehabil

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“…Among the scarce studies conducted on the impacts of mobile phone use on gait performance, it has been evidenced that walking and texting significantly increases co-contraction between the ankle agonist and antagonists muscles at approximately mid-stance [ 2 ], which highlights an augmented need for ankle stabilization. Additionally, erector spinae muscle activity increased considerably as a result of browsing and texting [ 16 ]. Nonetheless, no research study has investigated the impacts of mobile phone use on lower limb muscle activation variability during walking and using the mobile phone.…”

Section: Introductionmentioning

confidence: 99%

The effects of mobile phone use on motor variability patterns during gait

et al. 2022

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Mobile phone use affects the dynamics of gait by impairing visual control of the surrounding environment and introducing additional cognitive demands. Although it has been shown that using a mobile phone alters whole-body dynamic stability, no clear information exists on its impacts on motor variability during gait. This study aimed at assessing the impacts of various types of mobile phone use on motor variability during gait; quantified using the short- and long-term Lyapunov Exponent (λS and λL) of lower limb joint angles and muscle activation patterns, as well as the centre of mass position. Fourteen females and Fifteen males (27.72 ± 4.61 years, body mass: 70.24 ± 14.13 Kg, height: 173.31 ± 10.97 cm) walked on a treadmill under six conditions: normal walking, normal walking in low-light, walking while looking at the phone, walking while looking at the phone in low-light, walking and talking on the phone, and walking and listening to music. Variability of the hip (p λS = .015, λL = .043) and pelvis (p λS = .039, λL = .017) joint sagittal angles significantly increased when the participants walked and looked at the phone, either in normal or in low-light conditions. No significant difference was observed in the variability of the centre of mass position and muscle activation patterns. When individuals walk and look at the phone screen, the hip and knee joints are constantly trying to adopt a new angle to regulate and maintain gait stability, which might put an additional strain on the neuromuscular system. To this end, it is recommended not to look at the mobile phone screen while walking, particularly in public places with higher risks of falls.

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“…This habit is negatively associated with inhibition, decision making, memory performance, and sleeping di culties [17]. Studies show that the simultaneous use of a cell phone during daily activities could represent a greater load for muscle chains, classi ed as a risk factor in musculoskeletal problems [18].…”

Section: Introductionmentioning

confidence: 99%

Machine-Learning Predictive Models For Dependency On Smartphones Based On Risk Factors

Giraldo-Jiménez

Gaviria-Chavarro

Urrutia-Valdés

et al. 2021

Preprint

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Background: Machine learning techniques allow highly accurate prediction of different tasks by measuring the event probabilities. This research proposes a prediction model for dependency on smartphones based on machine learning techniques. Methods: We performed an analytical observational study with a retrospective case–control approach; the different classification methods used were decision tree, random forest, logistic regression, and support vector machine. The sample demographic included 1228 students from a private university in Cali. The tests were 1) smartphone dependency assessment and 2) the Nordic musculoskeletal symptoms questionnaire. Results: It was found that some of the variables related to smartphone dependency are academic curriculum, school, marital status, socioeconomic status, rules, discussions, and discrimination. Conclusions: The support vector machine model evidences highest prediction precision for smartphone dependency, obtained through the stratified-k-fold cross-validation technique.

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Changes in Low Back Muscle Activity and Spine Kinematics in Response to Smartphone Use During Walking

Cited by 10 publications

References 28 publications

The effect of the use of smartphone while walking on the electromyography activity of the lower extremity in young students

The effect of the use of smartphone while walking on the electromyography activity of the lower extremity in young students

The effects of mobile phone use on motor variability patterns during gait

Machine-Learning Predictive Models For Dependency On Smartphones Based On Risk Factors

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