Prevalence of forward neck posture and influence of smartphones in physiotherapy students

Janet, Annie; Kumar, G. Mohan; Rajalaxmi, V.; Ramachandran, S; Priya, C.; Yuvarani, G.; Tharani, G.; Kamatchi, K.; Raj, Glady

doi:10.51248/.v41i3.1203

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…Muscular imbalance, in turn, causes various changes in posture that manifest as postural weakness [6,7]. This can include a forward-shifted (protracted) head, which is usually associated with increased lordosis of the cervical spine [8,9] and increased kyphosis of the thoracic spine, which can lead to a hunchback [10] and affect breathing [11,12]. In the lumbar spine, an increased forward-tilted pelvis and a hollow back can develop [13].…”

Section: Introductionmentioning

confidence: 99%

Reference Values for Sagittal Clinical Posture Assessment in People Aged 10 to 69 Years

Ludwig

Dindorf

Kelm

et al. 2023

IJERPH

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Poor posture is a well-known problem in all age groups and can lead to back pain, which in turn can result in high socio-economic costs. Regular assessment of posture can therefore help to identify postural deficits at an early stage in order to take preventive measures and can therefore be an important tool for promoting public health. We measured the posture of 1127 symptom-free subjects aged 10 to 69 years using stereophotogrammetry and determined the sagittal posture parameters flèche cervicale (FC), flèche lombaire (FL), and kyphosis index (KI) as well as the values standardized to the trunk height (FC%, FL%, KI%). FC, FC%, KI, and KI% showed an increase with age in men but not in women, and a difference between the sexes. FL remained largely constant with age, although FL% had significantly greater values in women than men. Postural parameters correlated only moderately or weakly with body mass index. Reference values were determined for different age groups and for both sexes. Since the parameters analyzed can also be determined by simple and non-instrumental methods in medical office, they are suitable for performing preventive checks in daily medical or therapeutic practice.

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Section: Introductionmentioning

confidence: 99%

Reference Values for Sagittal Clinical Posture Assessment in People Aged 10 to 69 Years

Ludwig

Dindorf

Kelm

et al. 2023

IJERPH

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“…Neck pain occurs more frequently, especially in sedentary jobs where individuals are exposed to sustained improper postures. Additionally, it has been reported that Forward Head Posture (FHP) posture may be influenced by the duration of smartphone usage [7]. According to literature, neck pain caused by FHP is strongly associated with psychological disorders such as stress, mood disorders, anxiety, depression, and emotional disturbances [8].…”

Section: Introductionmentioning

confidence: 99%

Forward Head Posture Classification Using Deep Learning Models on Facial Recognition Data

Kim,

Chae,

Kim

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Forward Head Posture (FHP) refers to a condition where the head protrudes forward, significantly contributing to neck pain and being associated with decreased productivity and psychological distress. This study investigates the nuanced classification of FHP and proposes a universally applicable methodology for its identification and analysis using deep learning. Leveraging the Korean Facial Image (K-FACE) dataset, rigorous image preprocessing with the Yolo-v8 model was conducted to facilitate accurate measurement of the CranioVertebral Angle (CVA) from various perspectives. The study meticulously evaluated the classification effectiveness of three advanced deep learning models: EfficientNet-B7, NFNet-F7, and ResNet-152. Among these, EfficientNet-B7 demonstrated superior performance with an accuracy of 0.69 and a recall score of 0.69 compared to other models. Additionally, comparisons based on camera angles within the EfficientNet-B7 model highlighted its excellence, particularly at the ±75° angle. The importance of image regions in EfficientNet-B7 was confirmed through Grad-CAM analysis, emphasizing the critical role of the neck region in accurately classifying FHP images. This comprehensive performance comparison and the proposed detailed classification methodology underscore the potential for generalization in FHP classification. Furthermore, by leveraging a unique dataset and employing state-of-the-art classification techniques, this research offers a novel perspective on the discourse surrounding FHP. Future research could integrate expanded facial image datasets and apply transfer learning techniques to further enhance the precision of FHP classification, thereby improving diagnostic accuracy and offering targeted interventions for individuals experiencing neck pain associated with FHP.

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“…It is more prevalent among women compared with men (7)(8)(9). In general, the prevalence of this disorder is reported to be 63 -66% (10)(11)(12)(13).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Stability Limits Between Individuals with Mild and Moderate-to-Severe Grades of Forward Head Posture

Heidary,

Pirayeh,

Mehravar

et al. 2024

Middle East J Rehabil Health Stud

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Background: Forward head posture (FHP) leads to the anterior excursion of the center of gravity, which can affect a person's standing balance. Evaluating the balance in different degrees of severity of FHP can help design and plan appropriate balance exercises for people with FHP. Objectives: This study aimed to evaluate the changes in the limits of stability (LOS) in people with mild and moderate-to-severe grades of FHP. Methods: The participants in this study were 70 individuals suffering from FHP, aged between 17 - 45. They were divided into two groups based on their craniovertebral angle: Mild (> 45.5 degrees) and moderate-to-severe (< 45.5 degrees). The LOS test was performed using a posturography device (Neurocom, Equitest, USA). Five indices—movement reaction time (RCT), movement velocity (MVL), endpoint excursion (EPE), maximum excursion (MXE), and directional control (DCL)—were evaluated. Results: Based on the results of the LOS test, RCT, MVL, EPE, MXE, and DCL were significantly different between the mild and moderate-to-severe FHP groups in both anterior and posterior directions (P < 0.05). However, in other directions, no significant difference was observed in these variables based on the LOS test (P > 0.05). Conclusions: It can be concluded that individuals with moderate-to-severe FHP are more likely to have postural control deficits. Therefore, it is necessary to design appropriate targeted interventions to prevent falls in these individuals. Specifically, they should receive balance exercises in dynamic situations.

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Prevalence of forward neck posture and influence of smartphones in physiotherapy students

Cited by 5 publications

References 8 publications

Reference Values for Sagittal Clinical Posture Assessment in People Aged 10 to 69 Years

Reference Values for Sagittal Clinical Posture Assessment in People Aged 10 to 69 Years

Forward Head Posture Classification Using Deep Learning Models on Facial Recognition Data

Evaluating the Stability Limits Between Individuals with Mild and Moderate-to-Severe Grades of Forward Head Posture

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