Body segment inertial parameters and low back load in individuals with central adiposity

Association Between Weight-Adjusted Waist Index and the Prevalence of Low Back Pain: A Cross-Sectional Observational Study from National Health and Nutrition Examination Survey

BACKGROUND

The weight-adjusted waist index (WWI) is a novel obesity index that is calculated as the waist circumference (WC) divided by the square root of body weight (kg). Previous studies have revealed that higher body mass index (BMI) and WC increase the risk of low back pain (LBP). However, no research explores the relationship between WWI and LBP.

METHODS

Data utilized in this cross-sectional study were drawn from the National Health and Nutrition Examination Survey. Three logistic regression models were used to evaluate the association between WWI and LBP. Stratified analysis was applied to assess the stability of the results. Receiver-operating characteristic (ROC) curves were employed to visually assess and compare the predictive effectiveness of WWI, BMI, WC, and weight on LBP.

RESULTS

A significant positive correlation was observed between WWI and LBP, model 1 (odds ratio [OR] = 1.222, 95% confidence interval (95% CI) [1.164, 1.283], P < 0.0001), model 2 (OR = 1.187, 95% CI [1.118, 1.261], P < 0.0001), and model 3 (OR = 1.129, 95% CI [1.056, 1.207], P < 0.001). Relative to the Q1, Q3 (model 1 (OR = 1.241, 95% CI [1.114, 1.382], P < 0.001), model 2 (OR = 1.192, 95% CI [1.050, 1.353], P = 0.007), model 3 (OR = 1.145, 95% CI [1.002, 1.310], P = 0.047)) and Q4 (model 1 (OR = 1.524, 95% CI [1.341, 1.733], P < 0.0001), model 2 (OR = 1.422, 95% CI [1.233, 1.640], P < 0.0001), model 3 (OR = 1.333, 95% CI [1.149, 1.547], P < 0.001)) all showed a significant positive correlation between them. The area under the receiver-operating characteristic curve (AUC) for WWI is 0.5447536, the AUC for BMI is 0.5466724, and the AUC for WC and weight is 0.5501341 and 0.5376615, respectively.

CONCLUSIONS

This cross-sectional study revealed a significant positive association between WWI and LBP, but WWI did not show better predictive efficacy than BMI and WC.

Relevance of body weight adaptation and modern obesity-defining parameters in the analysis of isokinetic trunk strength in people with obesity - A retrospective analysis

Pathologic values of body mass index (BMI), body weight, and waist circumference correlate with higher absolute and lower relative trunk strength. Whether waist-to-height ratio (WHtR) is appropriate for showing trunk strength differences in people with obesity and whether a continuous linear relationship exists between the increase in obesity and trunk strength is unknown. This retrospective cross-sectional study included 1174 subjects (1114 men and 60 women). Measured values included body weight, height, waist circumference, WHtR, BMI, and both absolute and body weight-adapted trunk flexor/extensor strength. Statistical analyses included t-tests, Welch tests, Pearson correlations, mixed-linear, and nonlinear regression analyses. Positive correlations with absolute trunk strength were found in subjects without obesity for all anthropometric parameters except WHtR. Weaker positive and partly negative correlation and linear regression coefficients were found in subjects with obesity. Nonlinear relationships were found between age, BMI, WHtR, and absolute respective body weight-adapted trunk strength. The relationship between obesity-defining measures/ indices and trunk strength is non-linear. Increasing BMI, waist circumference, or WHtR above cut-off values known from cardiovascular research is linked to a decrease or weaker increase in trunk strength. Body weight adaptation is recommended to avoid misinterpretation of apparently good absolute trunk strength values in people with obesity.

Machine learning applications in spine biomechanics

Spine biomechanics is at a transformation with the advent and integration of machine learning and computer vision technologies. These novel techniques facilitate the estimation of 3D body shapes, anthropometrics, and kinematics from as simple as a single-camera image, making them more accessible and practical for a diverse range of applications. This study introduces a framework that merges these methodologies with traditional musculoskeletal modeling, enabling comprehensive analysis of spinal biomechanics during complex activities from a single camera. Additionally, we aim to evaluate their performance and limitations in spine biomechanics applications. The real-world applications explored in this study include assessment in workplace lifting, evaluation of whiplash injuries in car accidents, and biomechanical analysis in professional sports. Our results demonstrate potential and limitations of various algorithms in estimating body shape, kinematics, and conducting in-field biomechanical analyses. In industrial settings, the potential to utilize these new technologies for biomechanical risk assessments offers a pathway for preventive measures against back injuries. In sports activities, the proposed framework provides new opportunities for performance optimization, injury prevention, and rehabilitation. The application in forensic domain further underscores the wide-reaching implications of this technology. While certain limitations were identified, particularly in accuracy of predictions, complex interactions, and external load estimation, this study demonstrates their potential for advancement in spine biomechanics, heralding an optimistic future in both research and practical applications.

Exploring the association between measures of obesity and measures of trip-induced fall risk among older adults

OBJECTIVE

Explore the association between measures of obesity and measures of trip-induced fall risk among community-dwelling older adults.

DESIGN

Case-control SETTING: Gait laboratory PARTICIPANTS: Voluntary sample of 55 community-dwelling older adults (≥65 years of age) with body mass index (BMI) of 18.84-44.68 kg/m².

INTERVENTIONS

Not applicable MAIN OUTCOMES MEASURES: Measures of obesity included six anthropometry-based measures (BMI; thigh, hip and waist circumferences; ratio of waist-to-hip circumference; and index of central obesity) and four DEXA-based measures (percent trunk, leg and total fat; and fat mass index). Measures of risk of tripping during overground walking included median and interquartile range of toe clearance, and area under the swing phase toe trajectory. Measures of trip recovery after a laboratory-induced trip included trunk angle and angular velocity at ground contact of the first recovery step, anteroposterior distance from stepping foot to center of mass at the same instant, and step time of the first recovery step.

RESULTS

Risk of tripping was associated with waist-to-hip ratio and thigh circumference. After grouping participants by waist-to-hip ratio, those with high ratios (≥0.9 cm for males and ≥0.85 cm for females) exhibited significantly greater variability in toe clearance. Trip recovery was associated with hip circumference, thigh circumference, fat mass index, and total fat. After grouping participants by fat mass index, those with high indices (>9 kg/m² for males and >13 kg/m² for females) exhibited less favorable trunk kinematics following a laboratory-induced trip (Cohen's d=0.84).

CONCLUSION

Waist-to-hip ratio and fat mass index may more closely relate to trip-induced fall risk than BMI among community-dwelling older adults.

Effects of workers' Body Mass Index and task conditions on exertion psychophysics during Vertical Handling Tasks

BACKGROUND

Obesity prevalence in the workforce is clearly increasing. Simultaneously, manual lifting/lowering loads, referred to as Vertical Handling Tasks (VHT) in this paper, are common in industries and services. Performing VHT exposes workers to physical overload, which can be measured using a psychophysical approach. Various risk factors can increase this overload, including individual factors such as workers' Body Mass Index (BMI).

OBJECTIVE

To study the possible effects of workers' BMI and some task conditions on physical overload during VHT.

METHODS

Psychophysical data were collected from 51 participants having different body constitutions (including non-obese, overweight and obese). The participants performed 6 VHT (3 different loads ×2 workstation configurations), during which they lifted and lowered a test-box between their knees and shoulders. For each task, they reported their perceived exertion using the Borg Category Ratio-10 (CR-10) scale.

RESULTS

The results showed that the CR-10 scale is sensitive to the variation of the task conditions tested. However, the psychophysical data pointed to a tendency to decrease the perception of physical overload as workers' BMI increases.

CONCLUSIONS

This may compromise the validity of the application of psychophysical data as an ergonomic approach for Work-Related Musculoskeletal Disorders (WRMSD) prevention in obese workers.

Sex differences in the association of metabolic syndrome with low back pain among middle-aged Japanese adults: a large-scale cross-sectional study

BACKGROUND

Although some recent studies have indicated an association between metabolic syndrome (MetS) and musculoskeletal disease, little is known about the association of MetS with low back pain (LBP). The present study aimed to investigate sex differences in the association of MetS and the clustering of MetS components with LBP among middle-aged Japanese individuals.

METHODS

Study subjects were 45,192 adults (30,695 men, 14,497 women) aged 40-64 years who underwent annual health checkups conducted from April 2013 to March 2014. MetS was defined according to the criteria of the Examination Committee of Criteria for MetS in Japan as abdominal obesity plus at least two of dyslipidemia, high blood pressure, or high blood glucose. Information on LBP and health-related lifestyles were collected using a self-administered questionnaire. Logistic regression modeling was used to calculate the odds ratio (OR) and 95% confidence interval (CI) for LBP.

RESULTS

After adjusting for age and lifestyle factors, the OR of MetS for LBP was 1.15 (95% CI 0.95-1.40) in men and 2.16 (95% CI 1.32-3.53) in women. Compared to subjects without abdominal obesity, the presence of abdominal obesity significantly increased the OR for LBP among men (abdominal obesity only: OR 1.34, 95% CI 1.02-1.76; abdominal obesity plus one component: OR 1.24, 95% CI 1.01-1.52; abdominal obesity plus two or more components: OR 1.26, 95% CI 1.02-1.55). Among women, adding other components of MetS to abdominal obesity significantly increased ORs for LBP (abdominal obesity only: OR 1.70, 95% CI 0.94-3.08; abdominal obesity plus one component: OR 1.66, 95% CI 1.06-2.60; abdominal obesity plus two or more components: OR 2.30, 95% CI 1.41-3.78).

CONCLUSIONS

This large-scale cross-sectional study indicated that MetS was significantly associated with LBP among women only and that a sex-difference existed in the association between the clustering of MetS components and LBP. Clustering of MetS components by sex may need to be considered for the prevention of LBP, although further prospective studies are needed to clarify the causality.

Central adiposity and mechanical, perceptual and physiological loading during long duration, repetitive lifting

BACKGROUND

There is an absence of information regarding the impact of central adiposity on loading during long duration, repetitive lifting, and very limited information of the impact of elevated body mass on mechanical loading of the lumbar spine. This information is important in evaluation of the validity of injury prevention standards and interventional approaches in this segment of the population.

METHODS

This study evaluated the mechanical, physiological, and perceptual loading during repetitive lifting in participants with central adiposity compared to participants with normal body mass index. Videography, accelerometry, heart rate and perceived exertion measures were used to examine alternations in kinematic, kinetic, and exertional parameters during a 1-hour lifting task (3 × 20-min sets; 4 lifts/min; self-selected mass).

FINDINGS

Low back torque [+69.1 (11.5) Nm], compressive force [+1036.6 (153.6) N] and heart rate [+7.0 (3.5)%] were substantially elevated in participants with central adiposity, however perceived exertion and self-selected mass did not differ between groups. With central adiposity a compensatory mechanism was observed, involving a reduction in trunk vertical displacement [-5.8 (1.9) cm], hip flexion [-6.4 (3.1) deg] and lower-trunk flexion [-10.0 (2.7) deg], which attenuated expected increases to work [9.8 (2.3)%], power [9.5 (4.0)%] and physiological effort.

INTERPRETATION

While mechanical loading increases secondary to elevated body mass are expected, these results provide new insight into origins of such increases for individuals with a central adiposity somatotype. The differences in mechanical, physiological and perceived loading support provision of individual-specific injury prevention strategies, as well as revision of existing mechanical- and physiological-based ergonomic standards.