Abstract:Vertebral disorders have significant health and economic impacts, and due to aging and current lifestyle habits, there is a trend toward their increase. Obesity and the alignment of vertebral curvatures can be associated with back pain. Objective: This study aims to analyze whether general and abdominal obesity are associated with cervical, dorsal, and lumbar vertebral pain as well as increased or decreased values of cervical, dorsal, and lumbar vertebral curvatures. Methodology: Body composition, degree of ve… Show more
“…This finding is in agreement with a previous study conducted in Iran, Zahedan city, which revealed that fat drivers with high BMI were found associated with the low level of lower back pain in lower back regions 38. However, there is evidence that indicates a strong association between abdominal obesity and LBP as central obesity increases lordosis and doubles the risk of LBP 39 40. There is also evidence that overweight/obesity is a risk factor for LBP41–44 However, other literature reported as the association of overweight/obesity with LBP remains controversial and inconsistent result 45.…”
ObjectiveThis study aimed to assess the prevalence of low back pain and associated factors among professional taxi drivers.DesignCommunity-based cross-sectional study.Setting and participantsA Modified Nordic Musculoskeletal Questionnaire was used to collect data. Through a simple random sampling technique, 371 taxi drivers were selected in Gondar City, Ethiopia.Data analysisSPSS V.22 was used for data analysis. Bivariable and multivariable logistic regression analyses were used to identify the factors associated with low back pain. A p value less than 0.05 and an adjusted odds ratio (AOR) with 95% CI were used to declare statistical significance.ResultA total of 371 respondents, with a response rate of 95.4%, have participated. The past 1 year and week’s prevalence of low back pain among taxi drivers was 85.7% (95% CI 82.5 to 89.2) and 53.4% (95% Cl 48.0 to 58.5), respectively. Overweight/obese (AOR=0.33, 95% CI (0.14 to 0.80)), alcohol drinking (AOR=4.77, 95% CI (1.16 to 19.5)), job dissatisfaction (AOR=4.58, 95% CI (1.39 to 15.2)), prolonged working hours per day (AOR=2.64; 95% CI (1.02 to 6.08)), not using the adjustable seat with back support (AOR=6.38, 95% CI (2.39 to 17.01)) were associated with low back pain among taxi drivers.ConclusionThe prevalence of low back pain among taxi drivers was high. Being overweight/obese, alcohol drinking, job dissatisfaction, prolonged working hours per day, and not using adjustable seats with back support, were factors associated with low back pain among taxi drivers. Therefore, ergonomic and behavioural-related awareness training is recommended to minimise the burden of low back pain among taxi drivers.
“…This finding is in agreement with a previous study conducted in Iran, Zahedan city, which revealed that fat drivers with high BMI were found associated with the low level of lower back pain in lower back regions 38. However, there is evidence that indicates a strong association between abdominal obesity and LBP as central obesity increases lordosis and doubles the risk of LBP 39 40. There is also evidence that overweight/obesity is a risk factor for LBP41–44 However, other literature reported as the association of overweight/obesity with LBP remains controversial and inconsistent result 45.…”
ObjectiveThis study aimed to assess the prevalence of low back pain and associated factors among professional taxi drivers.DesignCommunity-based cross-sectional study.Setting and participantsA Modified Nordic Musculoskeletal Questionnaire was used to collect data. Through a simple random sampling technique, 371 taxi drivers were selected in Gondar City, Ethiopia.Data analysisSPSS V.22 was used for data analysis. Bivariable and multivariable logistic regression analyses were used to identify the factors associated with low back pain. A p value less than 0.05 and an adjusted odds ratio (AOR) with 95% CI were used to declare statistical significance.ResultA total of 371 respondents, with a response rate of 95.4%, have participated. The past 1 year and week’s prevalence of low back pain among taxi drivers was 85.7% (95% CI 82.5 to 89.2) and 53.4% (95% Cl 48.0 to 58.5), respectively. Overweight/obese (AOR=0.33, 95% CI (0.14 to 0.80)), alcohol drinking (AOR=4.77, 95% CI (1.16 to 19.5)), job dissatisfaction (AOR=4.58, 95% CI (1.39 to 15.2)), prolonged working hours per day (AOR=2.64; 95% CI (1.02 to 6.08)), not using the adjustable seat with back support (AOR=6.38, 95% CI (2.39 to 17.01)) were associated with low back pain among taxi drivers.ConclusionThe prevalence of low back pain among taxi drivers was high. Being overweight/obese, alcohol drinking, job dissatisfaction, prolonged working hours per day, and not using adjustable seats with back support, were factors associated with low back pain among taxi drivers. Therefore, ergonomic and behavioural-related awareness training is recommended to minimise the burden of low back pain among taxi drivers.
“…In our study, the android-type overweight group demonstrated a significantly greater lumbar Cobb angle than the normal weight group. These findings are consistent with previous research, which has shown that excessive body weight and adiposity in the abdominal region have a significant impact on the lumbar lordosis curve (Saludes et al, 2022). An increase in body fat percentage in the abdominal region may increase burden on the lumbar spine, shift the CoM forward and increase lumbar lordosis (Romero-Vargas et al, 2013;Sheng et al, 2017).…”
Introduction: Degenerative lumbar disease (DLD) is a prevalent disorder that predominantly affects the elderly population, especially female. Extensive research has demonstrated that overweight individuals (categorized by body fat distribution) have a higher susceptibility to developing DLD and an increased risk of falling. However, there is limited research available on the standing balance and functional performance of overweight females with DLD.Aims: To determine the impact of body fat distribution on standing balance and functional performance in overweight females with DLD.Methods: This cross-sectional study evaluated thirty females with DLD were categorized into three types of body fat distribution based on body mass index (BMI) and waist-hip ratio, specifically as android-type, gynoid-type, and normal weight groups. In addition, a control group of ten age-matched females with normal weight was recruited. The Visual Analogue Scale, Roland Morris Disability Questionnaire, Cobb angle (Determined using x-ray), and body composition (Determined using the InBody S10), were conducted only on the DLD groups. All participants were assessed standing balance in the anteroposterior and mediolateral directions. The functional assessments included timed-up-and-go and 5-times-sit-to-stand tests.Results: There were 10 people in each group. Android-type (Age = 65.00 ± 6.34 years; BMI = 26.87 ± 2.05 kg/m2), Gynoid-type (Age = 65.60 ± 4.99 years; BMI = 26.60 ± 1.75 kg/m2), Normal weight (Age = 65.70 ± 5.92 years; BMI = 22.35 ± 1.26 kg/m2), and Control (Age = 65.00 ± 5.23 years; BMI = 22.60 ± 1.12 kg/m2). The android-type group had higher body fat, visceral fat, and lower muscle mass (p < 0.05), along with an increased Cobb angle (p < 0.05). They showed greater ellipse area, total excursion, and mean distance in the anteroposterior direction (p < 0.05). During the functional performance assessments, the android-type group had longer durations in both the 5-times-sit-to-stand and timed-up-and-go tasks (p < 0.05).Conclusion: Our study found that android-type overweight individuals showed postural instability, reduced functional performance, and insufficient lower limb muscle strength and mass. These findings might help physical therapists in planning interventions, as they imply that patients with DLD may require specific types of standing balance training and lower extremities muscle-strengthening based on their body fat distribution.Clinical Trial Registration:ClinicalTrials.gov, identifier NCT05375201
BACKGROUND: The physical condition of workers’ body structure and assigned duties, can contribute to the prevalence of musculoskeletal disorders. OBJECTIVE: This study aimed to investigate the relationship between body structure status, type of work activity, and the prevalence of musculoskeletal disorders among workers in the detergent industry. METHODS: This cross-sectional study involved 148 industrial workers selected based on inclusion criteria and their medical checkup records. Data collection for the study included a demographic information questionnaire, a body map questionnaire, and an assessment of the workers’ musculoskeletal system conducted by three physiotherapists simultaneously. RESULTS: 54.1% of the participants had a total body structure score classified as poor or fair. The neck region showed the highest prevalence of musculoskeletal disorders (51.4%), followed by the lower back region (35.1%). Significant associations were found between abnormalities in the upper and middle limbs of the body and the prevalence of pain in the right shoulder region (Fisher/F = 9.29, P≤0.05) as well as the intermediate back region (F = 10.28, P≤0.01). Office workers experienced a higher prevalence of neck pain than workers in the product line and technical roles, with a statistically significant Odds Ratio (OR) ranging between 2.7 and 6.6 times. Conversely, industrial workers who operate powered machinery showed a higher prevalence of pain in the left shoulder (OR = 3.93) and left foot (OR = 4.07). Meanwhile, workers involved in loading and unloading tasks had a higher prevalence of pain in the middle back (OR = 3.61) and right foot (OR = 4.5) compared to office workers. CONCLUSIONS: The prevalence of pain in the right shoulder and middle back may be due to abnormalities in the upper and intermediate body structure. Production line workers reported a higher prevalence of pain in the left shoulder, middle back, and foot compared to office workers.
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