Mass Segmentation Research Articles

PS-05-003 The role of nutritional intervention in the treatment of male hypogonadism secondary to obesity

The aim of the study was to evaluate the effects of nutritional intervention on body composition and hormonal profile in a group of obese patients after a weight loss of 10%. In particular, the study focused on the evaluation of aromatase activity, calculated as the ratio between total testosterone and estradiol. 28 patients aged between 18 and 65 were enrolled, fat percentage was > 30% and it was estimated with total body densitometry. Body composition (anthropometry, circumferences, DEXA), hormonal profile, cardiovascular risk indices and the HOMA index were evaluated. The patients underwent two tests: Yale Food Addiction Scale (YFAS) and Aging Male Symptoms (AMS), respectively for the assessment of carbohydrate dependence and symptoms related to hypogonadism. The nutritional treatment was based on hypocaloric, high-protein diet (1.5 g/kg ideal body weight/day). Diet energy gap was between 170–250 kcal/day. After a mean time of 6 months and a mean weight loss of 10% from baseline, a significant increase in serum total testosterone levels (405.3 ± 124.8 vs 298.2 ± 81.4 ng / dl, p = 0.002) and a significant reduction of estradiol (37.8 ± 16.2 vs 46.4 ± 12.1 pg / ml, p = 0.049) were observed. There was also a significant reduction in the percentage of total (36.1 ± 4.7 vs 39.8 ± 6.9, p = 0.0001) and segmental fat mass (android fat mass 46.3 ± 6.5% vs 52.1 ± 6.3% P = 0.0012; gynoid fat mass 36.4 ± 5.9 % vs 39.1 ± 6.1% p = 0.0001). The lean mass remained unchanged. The reduction in aromatase activity (expressed as the total testosterone / estradiol ratio) was statistically significant (110.9 ± 52.8 vs 69.1 ± 34.1, p = 0.003). Food addiction has not improved after the nutritional intervention and probiotic supplementation.

Displacement analysis of myocardial mechanical deformation (DIAMOND) reveals segmental susceptibility to doxorubicin-induced injury and regeneration.

Zebrafish are increasingly utilized to model cardiomyopathies and regeneration. Current methods evaluating cardiac function have known limitations, fail to reliably detect focal mechanics, and are not readily feasible in zebrafish. We developed a semiautomated, open-source method - displacement analysis of myocardial mechanical deformation (DIAMOND) - for quantitative assessment of 4D segmental cardiac function. We imaged transgenic embryonic zebrafish in vivo using a light-sheet fluorescence microscopy system with 4D cardiac motion synchronization. Our method permits the derivation of a transformation matrix to quantify the time-dependent 3D displacement of segmental myocardial mass centroids. Through treatment with doxorubicin, and by chemically and genetically manipulating the myocardial injury-activated Notch signaling pathway, we used DIAMOND to demonstrate that basal ventricular segments adjacent to the atrioventricular canal display the highest 3D displacement and are also the most susceptible to doxorubicin-induced injury. Thus, DIAMOND provides biomechanical insights into in vivo segmental cardiac function scalable to high-throughput research applications.

Concealed object segmentation in terahertz imaging via adversarial learning

Terahertz imaging (frequency between 0.1 to 10 THz) is a modern technique for public security check. Due to poor imaging quality, traditional machine vision methods often fail to detect concealed weapons in Terahertz samples, while modern instance segmentation approaches have complex multiple-stage concatenation and often hunger for massive and accurate training data. In this work, we realize a novel Conditional Generative Adversarial Nets (CGANs), named as Mask-CGANs to segment weapons in such a challenging imaging quality. The Mask-Generator network employs a “selected-connection U-Net” to restrain false alarms and speed up training convergence. The loss function takes reconstruction errors and sparse priors into consideration to preserve precise segmentation. Such a learning architecture works well with a small training dataset. Experiments show that the proposed model outperforms CGANs (more than 16–32% in Recall, Precision and Accuracy) and Mask-RCNN (more than 3–6%). Moreover, its testing speed (69.7 FPS) is fast enough to be implemented in a real-time security check system, which is 44 times faster than Mask-RCNN. In the experiments for mammographic mass segmentation on INBreast dataset, the Dice index of the proposed method is 91.29, surpasses the-state-of-the-art medical issue segmentation methods. The full implementation (based on TensorFlow) is available at https://github.com/JXPanzz/THz).

Age and body mass index associations with body segment parameters

Body segment parameters (BSPs) such as segment mass, center of mass, and radius of gyration are required in many ergonomic tools and biomechanical models to estimate injury risk, and quantify muscle and joint contact forces. Currently, the full effects of age and obesity have not been taken into account when predicting BSPs. The goal of this study is to quantify the impact of body mass index (BMI) and age on BSPs, in order to provide more representative measures necessary for modeling inputs. A whole body dual energy X-ray absorptiometry (DXA) scan was collected for 280 working men and women with a wide range of BMI and aged 21 to 70 years. Established DXA processing methods were used to determine in-vivo estimates of the mass, center of mass, and radius of gyration for the upper arm, forearm, torso, thigh, and shank for males and females. Regression models were used to determine if age and BMI terms, as well as their interactions, were associated with these BSPs. The variability in BSPs explained by BMI alone ranged from 4 to 51%, and age explained an additional 3–19%. Thus, BMI and age are significant correlates of BSPs, and need to be taken into account when predicting certain BSPs in order to obtain accurate and representative results in biomechanical models.

A novel method for breast mass segmentation: from superpixel to subpixel segmentation

In this paper, an effective method is proposed for breast mass segmentation using a superpixel generation and curve evolution method. The simple linear iterative clustering method and density-based spatial clustering of applications with noise method are applied to generate superpixels in mammograms at first. Thereafter, a region of interesting (ROI) that contains the breast mass is built on the superpixel generation results. Finally, the image patch and the position of the manual labeled seed are used to build the prior knowledge for the level set method driven by the local Gaussian distribution fitting energy and evolve the curve to capture the edge of breast mass in ROI. Experimental results on mammogram data set demonstrate that the proposed method shows superior performance in contrast to some well-known methods in breast mass segmentation.

Postural Changes After Abdominoplasty in Morbid Obese Patients.

In the multidisciplinary treatment of obesity, the role of a plastic surgeon is to remove the excess of skin after weight loss to obtain cosmetic, functional, and psychological benefits. Obesity modifies body geometry, increases the mass of different segments, and imposes functional limitations in life activities that may predispose the obese to injury. The authors evaluated the postural conditions of obese patients, before and 12 months after surgery. The study included 15 obese patients of both genders affected by class II obesity. Postural function was evaluated preoperatively and 12 months postoperatively. Patients underwent conventional abdominoplasty surgical procedure. In all patients, plantar pressure distribution and balance (stabilometric test) were evaluated before and 3 months after surgery. The static pedobarographic revealed a significant reduction in forefoot peak pressure; total plantar force; rearfoot plantar force percentage; midfoot plantar force percentage; and forefoot, midfoot, and rearfoot plantar contact areas percentage 3 months after surgery; the dynamic's one showed a reduction in the first metatarsal peak pressure and plantar contact. The stabilometric values showed a reduction in the range of center of foot pressure (CP) displacement along y axis, the average displacement of the CP speed from the mean (RMS y velocity), and CP mean peak in the condition of vision. Our study demonstrates the beneficial effect of dermolipectomies and the consequential weight loss on postural stability of obese men. Such findings may support the hypothesis that dermolipectomy may improve postural stability with and without vision. The data demonstrate that the benefits are related to the magnitude of the resected tissue.

Schwannoma of the external auditory canal: An exceptional site

IntroductionSchwannomas are benign solitary neural tumours that are only exceptional located in the external auditory canal, as only a few cases have been reported in the literature. Case reportWe report a case of schwannoma of the external auditory canal in an 18-year-old man admitted for an isolated mass of the initial segment of the right external auditory canal visible to the naked eye, obstructing all of the external auditory meatus. Computed tomography of the temporal bone showed an isolated mass of the external auditory canal. Management of this patient consisted of biopsy-excision of the mass, histological examination of which confirmed a schwannoma of the external auditory canal. DiscussionAlthough rare, the possibility of a nerve tumour of the external auditory canal should always be considered. These tumours may be isolated or may occur in the context of von Recklinghausen's disease. The clinical presentation in the external auditory canal may correspond to recurrent otitis externa secondary to obstruction of the canal by the tumour, as in the case reported here. The definitive diagnosis must be based on the results of histological and immunohistochemical examination.

Measurement of the total body center of gravity during sit-to-stand motion using a markerless motion capture system

PurposeIn order to evaluate the movement strategy in sit-to-stand (STS) motion, it is necessary to measure the center of gravity (COG). However, there is no established method for enabling this using convenience device in the clinical setting. The purpose of this study was to validate the measurement of the COG during the STS motion using an inexpensive, portable and markerless motion capture system (MLS). MethodEighteen healthy adults participated in our study. The coordinates of the joint centers during the STS motion were collected using the Microsoft Kinect system (as a MLS) and the Vicon system (as a marker-based motion capture system [MBS]). The center of mass of each segment—which was calculated based on the segmental mass and length—were synthesized to calculate the COG. The displacement, velocity, acceleration of the COG during the STS motion were calculated from the data obtained using each system and compared between systems. ResultsThe two systems showed significant difference in their measurements of displacement in both the vertical and anteroposterior directions. However, in the anteroposterior direction, there was no significant difference in the measurements of either velocity or acceleration. ConclusionOur results suggested the validity of the COG in the anteroposterior direction during the STS motion measured using the MLS. The method developed in the present study enables the evaluation of a patient's movement strategy.

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI

The accurate and noninvasive preoperative prediction of the state of the axillary lymph nodes is significant for breast cancer staging, therapy and the prognosis of patients. In this study, we analyzed the possibility of axillary lymph node metastasis directly based on Magnetic Resonance Imaging (MRI) of the breast in cancer patients. After mass segmentation and feature analysis, the SVM, KNN, and LDA three classifiers were used to distinguish the axillary lymph node state in 5-fold cross-validation. The results showed that the effect of the SVM classifier in predicting breast axillary lymph node metastasis was significantly higher than that of the KNN classifier and LDA classifier. The SVM classifier performed best, with the highest accuracy of 89.54%, and obtained an AUC of 0.8615 for identifying the lymph node status. Each feature was analyzed separately and the results showed that the effect of feature combination was obviously better than that of any individual feature on its own.

Muscle force estimation in clinical gait analysis using AnyBody and OpenSim

A variety of musculoskeletal models are applied in different modelling environments for estimating muscle forces during gait. Influence of different modelling assumptions and approaches on model outputs are still not fully understood, while direct comparisons of standard approaches have been rarely undertaken. This study seeks to compare joint kinematics, joint kinetics and estimated muscle forces of two standard approaches offered in two different modelling environments (AnyBody, OpenSim). It is hypothesised that distinctive differences exist for individual muscles, while summing up synergists show general agreement. Experimental data of 10 healthy participants (28 ± 5 years, 1.72 ± 0.08 m, 69 ± 12 kg) was used for a standard static optimisation muscle force estimation routine in AnyBody and OpenSim while using two gait-specific musculoskeletal models. Statistical parameter mapping paired t-test was used to compare joint angle, moment and muscle force waveforms in Matlab. Results showed differences especially in sagittal ankle and hip angles as well as sagittal knee moments. Differences were also found for some of the muscles, especially of the triceps surae group and the biceps femoris short head, which occur as a result of different anthropometric and anatomical definitions (mass and inertia of segments, muscle properties) and scaling procedures (static vs. dynamic). Understanding these differences and their cause is crucial to operate such modelling environments in a clinical setting. Future research should focus on alternatives to classical generic musculoskeletal models (e.g. implementation of functional calibration tasks), while using experimental data reflecting normal and pathological gait to gain a better understanding of variations and divergent behaviour between approaches.

Keeping the shape of plant tissue for visualizing metabolite features in segmentation and correlation analysis of imaging mass spectrometry in Asparagus officinalis

IntroductionMatrix-assisted laser desorption/ionization−imaging mass spectrometry (MALDI−IMS) is a powerful approach for visualizing the localization of metabolites.ObjectivesA method to keep the shape of plant tissue needs to be developed for MALDI−IMS.MethodsThe method was developed using transfer tape and double-sided conductive tape.ResultsMALDI−IMS analysis using the developed method enabled to perform segmentation and correlation analysis of mass features.ConclusionThis proof-of-concept study showed that rutin localizes in the epidermis, developing tissue, and protoxylem in Asparagus officinalis.

COMPUTER AIDED DIAGNOSIS SYSTEM FOR AUTOMATIC TWO STAGES CLASSIFICATION OF BREAST MASS IN DIGITAL MAMMOGRAM IMAGES

Breast cancer is the most frequent cancer type that is diagnosed in women. The exact causes of such cancer are still unknown. Early and precise detection of breast cancer using mammogram images or biopsy to provide the required medications can increase the healing percentage. There are much current research efforts to developed a computer aided diagnosis (CAD) system based on mammogram images for detecting and classification of breast masses. In this research, a CAD system is developed for automated segmentation and two-stages classification of breast masses. The first stage includes the classification of the masses into seven classes (normal, calcification, circumscribed, spiculated, ill-defined, architectural distortion, asymmetry), which is done using probabilistic neural network (PNN). The second classification stage is to define the severity of abnormality into two classes (Benign and Malignant) which were done using support vector machine (SVM). The results of applying the proposed method on two mammogram image show that the accuracy of detection and segmentation of the breast mass was 99.8% for mammographic image analysis society database (MIAS-DB) with 322 images and 97.5% for breast cancer digital repository (BCDR), BCDR-F03 and BCDR-DN01 with 936 images, while for the first classification stage has accuracy of 97.08%, sensitivity of 98.30% and specificity of 89.8%, and the second classification stage has an accuracy of 99.18%, sensitivity of 98.42% and specificity of 94.90%.

Effect of mass segment size on polymer ToF-SIMS multivariate analysis using a universal data matrix

This work is part of a comprehensive research program to understand the informatics issues associated with high resolution surface analysis methods that are becoming essential for understanding how materials interact with biology. We have shown that advanced informatics methods can extract more information from surface analysis experiments than the traditional linear PCA methods commonly employed. These advanced methods can reliably separate polymers and other materials with very similar chemical structures which traditional methods cannot achieve.Building on our prior work, we report the effects of finer and coarser binning (1 m/z, 0.1 m/z and 0.005 m/z) of ToF-SIMS data on the ability of informatics methods to discriminate between chemically similar polyamide polymers. We show that the linear multivariate analysis methods PCA, HCA and MCR fail to discriminate mass discretised matrix data due to high levels of variance. In contrast, self-organising maps (SOMs), optimised for mass segment size, prove very tolerant to variance and noise and exhibit excellent classification efficiency for the chemically similar polyamide groups.Our results provide an important step in the development of a new paradigm in which analysis of data from ToF-SIMS and other analytical methods, such as Raman/SERS, can be conducted in a fully automated fashion.

Effects of Isokinetic Training on Trunk Muscle Fitness and Body Composition in World-Class Canoe Sprinters.

In canoe sprint, the trunk muscles play an important role in stabilizing the body in an unstable environment (boat) and in generating forces that are transmitted through the shoulders and arms to the paddle for propulsion of the boat. Isokinetic training is well suited for sports in which propulsion is generated through water resistance due to similarities in the resistive mode. Thus, the purpose of this study was to determine the effects of isokinetic training in addition to regular sport-specific training on trunk muscular fitness and body composition in world-class canoeists and to evaluate associations between trunk muscular fitness and canoe-specific performance. Nine world-class canoeists (age: 25.6 ± 3.3 years; three females; four world champions; three Olympic gold medalists) participated in an 8-week progressive isokinetic training with a 6-week block “muscle hypertrophy” and a 2-week block “muscle power.” Pre- and post-tests included the assessment of peak isokinetic torque at different velocities in concentric (30 and 140°s-1) and eccentric (30 and 90°s-1) mode, trunk muscle endurance, and body composition (e.g., body fat, segmental lean mass). Additionally, peak paddle force was assessed in the flume at a water current of 3.4 m/s. Significant pre-to-post increases were found for peak torque of the trunk rotators at 30°s-1 (p = 0.047; d = 0.4) and 140°s-1 (p = 0.014; d = 0.7) in concentric mode. No significant pre-to-post changes were detected for eccentric trunk rotator torque, trunk muscle endurance, and body composition (p > 0.148). Significant medium-to-large correlations were observed between concentric trunk rotator torque but not trunk muscle endurance and peak paddle force, irrespective of the isokinetic movement velocity (all r ≥ 0.886; p ≤ 0.008). Isokinetic trunk rotator training is effective in improving concentric trunk rotator strength in world-class canoe sprinters. It is recommended to progressively increase angular velocity from 30°s-1 to 140°s-1 over the course of the training period.

Multi-scale sifting for mammographic mass detection and segmentation

Breast mass detection and segmentation are challenging tasks due to the fact that breast masses vary in size and appearance. In this work, we present a simultaneous detection and segmentation scheme for mammographic lesions that is constructed in a sifting architecture. It utilizes a novel region candidate selection approach and cascaded learning techniques to achieve state-of-the-art results while handling a high class imbalance. The region candidates are generated by a novel multi-scale morphological sifting (MMS) approach, where oriented linear structuring elements are used to sieve out the mass-like objects in mammograms including stellate patterns. This method can accurately segment masses of various shapes and sizes from the background tissue. To tackle the class imbalance problem, two different ensemble learning methods are utilized: a novel self-grown cascaded random forests (CasRFs) and the random under-sampling boost (RUSBoost). The CasRFs is designed to handle class imbalance adaptively using a probability-ranking based under-sampling approach, while RUSBoost uses a random under-sampling technique. This work is evaluated on two publicly available datasets: INbreast and DDSM BCRP. On INbreast, the proposed method achieves an average sensitivity of 0.90 with 0.9 false positives per image (FPI) using CasRFs and with 1.2 FPI using RUSBoost. On DDSM BCRP, the method yields a sensitivity of 0.81 with 3.1 FPI using CasRFs and with 2.9 FPI using RUSboost. The performance of the proposed method compares favorably to the state-of-the-art methods on both datasets, especially on highly spiculated lesions.

Changes in total and segmental bioelectrical resistance are correlated with whole-body and segmental changes in lean soft tissue following a resistance training intervention

BackgroundRaw bioelectrical values can be used to assess physiological outcomes, though limited information is available concerning the relationships between changes in these values and changes in other variables of interest.MethodsThis investigation quantified the relationships between total and segmental changes in raw bioelectrical variables (i.e., resistance, reactance, and phase angle) and corresponding whole-body and segmental changes in independently assessed body composition. Resistance-trained females (n = 31, body mass index: 22.8 ± 2.6 kg/m2, body fat: 28 ± 6%) completed eight weeks of supervised resistance training. Before and after the intervention, body composition was assessed via dual-energy x-ray absorptiometry (GE® Lunar Prodigy), and raw bioelectrical variables were assessed via 8-point multi-frequency bioelectrical impedance analysis (Seca® mBCA 515/514) at 19 frequencies ranging from 1 to 1000 kHz.ResultsLean soft tissue of the whole body (+ 3.2% [2.1, 4.4]; mean [95% confidence interval]) and each body segment (+ 2.8 to 6.3%) increased as a result of the intervention. Group-level changes in total (− 2.4% [− 5.2, 0.3]) and segmental fat mass were not statistically significant. Significant decreases in total resistance (− 2.1% [− 3.7, − 0.6] at 50 kHz) and increases in phase angle (+ 4.2% [2.5, 5.9] at 50 kHz) were observed, with minimal changes in reactance and varying changes in segmental values. Moderate to strong negative correlations (0.63 ≤ |r| ≤ 0.83, p ≤ 0.001) were found between changes in lean soft tissue and changes in resistance for the whole body, trunk, and arms. No significant correlations were identified between changes in fat mass or bone mineral content and changes in any bioelectrical variable.ConclusionsTotal and segmental changes in resistance were associated with corresponding total and segmental changes in lean soft tissue following a resistance training intervention, while fewer associations were identified between changes in other bioelectrical parameters (i.e., reactance and phase angle) and body composition variables (e.g., fat mass and bone mineral content). Measurement frequency and body segment appeared to influence the presence and strength relationships between bioelectrical and body composition variables. These findings suggest that researchers and practitioners utilizing bioimpedance technology may benefit from examining raw resistance values to enhance detection of physiological adaptations to exercise interventions.

Analytical model for computing translational and rotational angular momentum occurring in treadmill walking

The kinematical modifications of human gait associated with treadmill walking are well studied in the literature. Fewer researches are focusing on computing the dynamical parameters of the gait, in this particular situation. Starting from kinematical data recorded in treadmill walking, the paper proposes an analytical model of the lower limbs that allows computation of translational and rotational angular momentum for each segment. The experimental data used in the study were recorded using ultrasound based, 3D motion equipment. By mean of this system, relative and absolute angles of the lower limb can be computed using Cartesian coordinates of each anatomical landmark. The velocities and accelerations were obtained by numerical derivative. In order to compute the dynamical parameters, segment masses and inertias were collected from the literature. The masses are based on percentage of total body weight while the segment inertias are based on geometrical characteristics of lower limb segments.

Advertising In The Environment Of Movies, A Literature Study

While it is common practice to interrupt various programs – even movies – on our television sets for advertisement breaks, the same could be inconceivable for the average person in a movie theatre setting, or in a home movie watching scenario where the interruption would come in the middle of a previously purchased (or one provided through a subscription based streaming service) movie. The relevance of this scientific problem is that movies and the interest they generate in either mass or niche segments of consumers represent an excellent opportunity for any company to use in the development of their promotional campaign. The reason for this opportunity is that movies themselves are already equipped with many unique features (examples being the genre or the talent involved on either side of the camera) that aid tremendously in the practical implementation of targeted marketing, as in many cases they too are aiming to attract certain consumer segments. The main purpose of the literature study is to sort the various seemingly ordinary advertisement methods by the types of movie mediums they are attached to, to showcase their main features, possibilities and restrictions which was conducted by summarizing the arguments and counterarguments within the scientific discussion on the topic. The systematization of literary sources and approaches indicate that we are witnessing the effects of the changing movie consumption mechanisms – which mostly occur due to technological changes – on the advertisements that are bounded to them. Last, but not least, through the reassessment of previous studies, we aim to measure the effects of advertisements coming from various mediums and newer solutions have had on consumers, what is the consensus on them in the current scientific discussion and how these might have changed over the past years. The results of the study can be useful for content creators and marketers to have a better grasp on how they could and should approach various kinds of consumer markets. All the while it will serve as one of the main pillars in a future empirical research on consumer behavior regarding movie consumption. Keywords: consumer behavior, cultural marketing, movie consumption, advertising.

Prevalence of Sarcopenia Obesity in Patients Treated at a Rural, Multidisciplinary Weight and Wellness Center.

Sarcopenic obesity portends poor outcomes, yet it is under-recognized in practice. We collected baseline clinical data including data on body composition (total and segmental muscle mass and total body fat), grip strength, and 5-times sit-to-stand. We defined sarcopenia using cut-points for appendicular lean mass (ALM) and obesity using body-fat cut-points. A total of 599 clinic patients (78.5% female; mean age was 51.3 ± 14.2 years) had bioelectrical impedance analysis (BIA) data (83.8%). Mean body mass index (BMI) and waist circumference were 43.1 ± 8.9 kg/m2 and 132.3 ± 70.7 cm, respectively. All patients had elevated body fat. There were 284 (47.4%) individuals fulfilling criteria for ALM-defined sarcopenia. Sarcopenic obese persons had a lower BMI (38.2 ± 6.4 vs 47.6 ± 8.6; P < 0.001), fat-free mass (113.0 kg ± 16.1 vs 152.1 kg ± 29.4; P < 0.001), fat mass (48.4% ± 5.9 vs 49.5% ± 6.2; P = 0.03), and visceral adipose tissue (216.8 ± 106.3 vs 242.7 ± 133.6 cm3; P = 0.009) than those without sarcopenic obesity. Grip strength was lower in those with sarcopenic obesity (25.1 ± 8.0 vs 30.5 ± 11.3 kg; P < 0.001) and sit-to-stand times were longer (12.4 ± 4.4 vs 10.8 second ± 4.6; P = 0.03). Sarcopenic obesity was highly prevalent in a rural, tertiary care weight and wellness center.

Physical activity in healthy urban adults and its association with body composition parameters

An adequate amount of physical activity (PA) in adults improves cardio-respiratory fitness, metabolic health and helps maintain a normal body weight and composition. Here we examined sex- and occupation-related PA patterns and their association with body composition parameters. Healthy volunteers (n = 97) aged 21–49 years completed a self-administered PA questionnaire and characterized their occupational duties depending on the volume of the physical work involved. A bio-impedance analyser was used to determine body composition. Men reported more metabolic equivalent of task (MET) minutes/week of vigorous PA than women (p &lt; 0.05). Participants with low occupational PA had less walking, moderate and total MET minutes/week, and more sitting time than those with moderate and vigorous occupational PA (p &lt; 0.05), but their body composition parameters did not differ. In males, negative correlations were found between body fat percentage, visceral fat range, segmental fat mass, and moderate MET minutes/week, whereas positive associations were observed between muscle mass in legs and vigorous MET minutes/week (p&lt;0.05). In females, negative correlations were found between visceral fat and vigorous MET minutes/week but positive – between lean body mass, trunk and leg muscle mass, and moderate PA (p &lt; 0.05). These observed associations might be used to develop interventions to promote sex- and occupation-specific PA.