On Lower-back Pain and Its Consequence to Productivity

Ramdan, Nur Sufiah Akmala; Hashim, Ahmad Yusairi Bani; Kamat, Seri Rahayu; Mokhtar, Mohd Najib Ali; Asmai, Siti Azirah

doi:10.12720/jiii.2.2.83-87

Cited by 10 publications

(5 citation statements)

References 16 publications

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“…Low back pain has a significant impact on the productivity of batik crafters. Referring to a study conducted in 2003, workers with low back pain will experience a decrease in work productivity by up to 60% (6) .…”

Section: Several Traditional Batik Crafters In Bojonegoromentioning

confidence: 99%

Risk Analysis of Musculoskeletal Disorders (MSDs) Complaints on Batik Crafters Under The Assistance of Ademos Indonesia

Shintia Yunita Arini,

Dani Nasirul Haqi

2021

Indian Journal of Forensic Medicine & Toxicology

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Introduction: Batik is one of Indonesia's original works of art that is continuously preserved in several regions in Indonesia. Several people working as batik crafters in Bojonegoro, East Java, Indonesia are under the assistance of Ademo. Based on the preliminary study conducted, most batik crafters had started to complain of pain in several parts of their body, which was considered due to work postures and nonergonomic work stations. Thus, this study was conducted to analyze the risk of Musculoskeletal Disorders using RULA and NBM. Materials and Methods:It was an observational study with cross sectional design. Data collection was conducted by conducted observation using RULA (Rapid Upper Limb Assessment), NBM (Nordic Body Map) and interviews with batik crafters in home industry. The population in this study was 42 batik crafters in a batik industry under the assistance of Ademos Bojonegoro. This study utilized total sampling technique by which the whole population were taken as the sample. Results:The results showed that 76.2% of batik crafters had a very high risk of MSDs on the right side of the body and on the left side of the body; 50% of batik crafters had a high risk of MSDs; and 50% had a very high risk of MSDs. The results of observations using NBM showed that 42.85% had a high risk of MSDs. Conclusion:This study concludes that all the batik crafters are in an emergency circumstance experiencing musculoskeletal disorders and need an ergonomic work station as soon as possible.

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Section: Several Traditional Batik Crafters In Bojonegoromentioning

confidence: 99%

Risk Analysis of Musculoskeletal Disorders (MSDs) Complaints on Batik Crafters Under The Assistance of Ademos Indonesia

Shintia Yunita Arini,

Dani Nasirul Haqi

2021

Indian Journal of Forensic Medicine & Toxicology

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“…In fact, LBP was the second most common motive for calling in sick to work in the United Arab Emirates and contributes to 1 in 6 missed days in the United Kingdom. In the United States, productivity losses are from $100 to $200 billion yearly (Ramdan et al, 2014). Additionally, the age of the LBP onset ranges from 20 to 50 years, impacting approximately 15% of the workforce during years that coincide with the highest economic contribution (Collin et al, 2011; Ricci et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Vitamin D receptor gene polymorphism influence on lumbar intervertebral disc degeneration

et al. 2022

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Intervertebral disc (IVD) degeneration is a multifaceted pathology that is the main morphological cause of lower back pain. This study aimed to determine the link between the vitamin D receptor gene single nucleotide polymorphisms (SNPs) and degenerative processes of the lumbar spine. The complete lumbar spinal columns were collected from 100 Caucasian cadavers via ventral dissection. The specimens for the histological analysis were harvested from the L5/S1 IVDs and endplates.Then, the tissues were cut into slices, inserted into paraffin blocks, and stained. The histology was evaluated according to the Boos' protocol. Moreover, TaqI(rs731236), FokI(rs2228570), and ApaI(rs7975232) genotyping were performed. Lastly, the histological scores for different genotypes were analyzed. The overall Boos' score in the study group was 12.49. It consisted of a mean IVD score of 7.46 and endplate score of 5.39. The determination of the SNPs was successful in 99 specimens and had a distribution of all alleles in accordance with the Hardy-Weinberg equilibrium. No significant differences in overall histological degeneration scores were found between samples from donors with different genotypes. However, in subgroup analysis of specific regions on the IVD, the significant difference was found in posterior inner anulus fibrosus for ApaI. The results of this study suggest that one must be careful when interpreting the results of the clinical and/or radiological studies on vitamin D receptor gene polymorphisms and lumbar spine degeneration risk, because such a relationship, if present, is likely to be very subtle.

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“…This sedentary lifestyle has been associated with an increased risk of cardiovascular and musculoskeletal diseases, although some studies have not been able to prove direct and causal correlation between sitting time and those disorders (Chau et al, 2010;Hartvigsen et al, 2000;Owen et al, 2010;Owen et al, 2014;Roffey et al, 2010). Musculoskeletal disorders were recognized as one of main causes of work-related disability and loss of productivity in industrialized countries (Ramdan et al, 2014;Punnett and Wegman, 2004), so there is a necessity for monitoring and prevention of those health dysfunctions.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Sitting Posture Classification based on Anthropometric Data

Martins

Ribeiro

Almeida

et al. 2016

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

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An intelligent chair prototype was developed in order to detect and correct the adoption of bad sitting postures during long periods of time. A pneumatic system was enclosed in the chair (4 air bladders inside the seat pad and 4 in the backrest) to classify 12 standardized sitting postures, with a classification score of 80.9%. Recently we used algorithmic optimization applied to the existing classification algorithm (based on Neural Networks) to split users (using Classification Trees) by their sex and used two different previously trained Neural Networks (Male and Female) to get an improved classification of 89.0% when the user was identified and 87.1% for unidentified users. In this work we aim to investigate the usage of the anthropometric information (height and weight) to further optimize our classification process. Here we use four Machine Learning Techniques (Neural Networks, Support Vector Machines, Classification Trees and Naive Bayes) to automatically split the users in 2 classes (above and below the specific anthropometric median value). Results showed that Classification Trees worked best on automatically separating the body characteristics (i.e. Height) with a global optimization of 88.3%. During the classification process, if the user is identified, we skip the splitting step, and this optimization increases to 90.2%.

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On Lower-back Pain and Its Consequence to Productivity

Cited by 10 publications

References 16 publications

Risk Analysis of Musculoskeletal Disorders (MSDs) Complaints on Batik Crafters Under The Assistance of Ademos Indonesia

Risk Analysis of Musculoskeletal Disorders (MSDs) Complaints on Batik Crafters Under The Assistance of Ademos Indonesia

Vitamin D receptor gene polymorphism influence on lumbar intervertebral disc degeneration

Optimization of Sitting Posture Classification based on Anthropometric Data

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