10 research outputs found

    Drawings or 3D models: Do illustration methods matter when assessing perceived body size and body dissatisfaction?

    Full text link
    Research has reported that both men and women experience body dissatisfaction. Among other instruments, a widely used method to assess perceived body size and body dissatisfaction are figure rating scales. Although a variety of illustration methods (e.g., three-dimensional, or 3D, models and line-drawing models) have been used to create these figure rating scales, to date, they have not been directly compared to one another. Thus, in the first study, which includes 511 participants at a mean age of 46 years old (range: 20–70), the present research work aims to assess how the line-drawing and 3D model scales, representing different body illustration methods, relate to each other. Furthermore, the first study assesses the validity of the indication of body dissatisfaction measured using these figure rating scales by comparing them to body checking or scrutinizing behavior and body appreciation levels. The project’s second study examines the two figure rating scales using objectively measured anthropometric data. In total, 239 participants at a mean age of 54 years (range: 18–94) were included. The results show that figure rating scales can be considered tools that measure perceptual body image due to their positive correlations with body checking behavior (for women) and their negative correlations with body appreciation. The 3D model and line-drawing scales show good to excellent inter-scale reliability, and both scales agree equally well with body mass index (BMI) measurements. Thus, the 3D model and line-drawing scales both seem well suited for assessing perceived body size and perceptual body dissatisfaction, suggesting that neither illustration method is superior to the other

    Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study

    Full text link
    Background 3D laser-based photonic scanners are increasingly used in health studies to estimate body composition. However, too little is known about whether various 3D body scan measures estimate body composition better than single standard anthropometric measures, and which body scans best estimate it. Furthermore, little is known about differences by sex and age. Methods 105 men and 96 women aged between 18 and 90 years were analysed. Bioelectrical Impedance Analysis was used to estimate whole relative fat mass (RFM), visceral adipose tissue (VAT) and skeletal muscle mass index (SMI). An Anthroscan VITUSbodyscan was used to obtain 3D body scans (e.g. volumes, circumferences, lengths). To reduce the number of possible predictors that could predict RFM, VAT and SMI backward elimination was performed. With these selected predictors linear regression on the respective body compositions was performed and the explained variations were compared with models using standard anthropometric measurements (Body Mass Index (BMI), waist circumference (WC) and waist-to-height-ratio (WHtR)). Results Among the models based on standard anthropometric measures, WC performed better than BMI and WHtR in estimating body composition in men and women. The explained variations in models including body scan variables are consistently higher than those from standard anthropometrics models, with an increase in explained variations between 5% (RFM for men) and 10% (SMI for men). Furthermore, the explained variation of body composition was additionally increased when age and lifestyle variables were added. For each of the body composition variables, the number of predictors differed between men and women, but included mostly volumes and circumferences in the central waist/chest/hip area and the thighs. Conclusions 3D scan models performed better than standard anthropometric measures models to predict body composition. Therefore, it is an advantage for larger health studies to look at body composition more holistically using 3D full body surface scans

    The Positive Eating Scale: Associations with eating behavior, food choice, and body mass index

    No full text
    To further investigate the effects of positive eating on health, the present study focused on associations of the Positive Eating Scale (PES, the Pleasure when Eating and Satisfaction with Eating subscales) with eating behaviors, food intake, and body mass index (BMI) in a large sample of the general Swiss population. Participants (T1: n = 2795, 46.7 % men; T2: n = 1931, 46.5 % men) with a mean age of 60 (SD = 16) years at T1 (2019) and 62 (SD = 15) years at T2 (2021) completed the Swiss Food Panel 2.0 paper-and-pencil questionnaire which included the PES, eating behaviors, food intake, and BMI. The results showed that both restrained and reward eating in response to positive emotions were mostly negatively correlated with the PES subscales for men and women, whereas intuitive eating, diet-related health consciousness, and perceived health status were positively related to the PES subscales. Women tended to choose healthier foods and recorded higher eating satisfaction. BMI was negatively related to the PES subscale Satisfaction with Eating (β = −0.17) and positively related to the subscale Pleasure when Eating (β = 0.08) despite rather small correlations with healthier food choices and better diet quality. No significant effects of the PES subscales on change in BMI were detected over the two-year period. Since the PES subscales showed diverging associations with other eating behavior constructs, a combination into a total score may not be optimal. Overall, positive eating may be associated with more balanced eating habits and better perceived health status

    Positive Effect of Teriparatide on Areal Bone Mineral Density in Young Women with Anorexia Nervosa: A Pilot Study

    Get PDF
    The present pilot study investigated the effect of Teriparatide 1-34 rh-PTH (TPT) in young women diagnosed with anorexia nervosa (AN), and markedly compromised Bone Mineral Density (BMD). Patients were included who had (i) very low BMD (defined as Z-Score <  - 2.5 or T-Score <  - 2.5 if available) in at least one of the assessed localizations (lumbar spine L1-L4, total hip, femoral neck) without any previous fragility fracture; or (ii) low bone mineral density (defined as Z-Score <  - 1.5 or T-Score <  - 1.5 if available) in at least one of the assessed localizations (lumbar spine L1-L4, total hip, femoral neck) and at least one previous fragility fracture. Ten patients with an age range of 21-33 were recruited and their bone outcome was assessed after 12, 18, and 24 months. After 24 months of TPT treatment, BMD improved by 13.5% in the spine, 5.0% in the femoral neck, and 4.0% in the hip. Radius cortical bone density (- 2.6%) and radius cortical thickness (- 6.4%) decreased significantly, while in tibia there was no significant decrease. Neither in radius nor in tibia a significant change in trabecular bone parameters occurred. During the treatment, the patients' body weight did not increase significantly. Patients did not experience severe adverse events; only mild side effects were observed. Although these results emerged from a single-arm prospective study, it seems that AN patients with a severely compromised bone situation can benefit from TPT. Larger studies are needed to ascertain the effect of this promising substance

    Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study

    No full text
    Background: 3D laser-based photonic scanners are increasingly used in health studies to estimate body composition. However, too little is known about whether various 3D body scan measures estimate body composition better than single standard anthropometric measures, and which body scans best estimate it. Furthermore, little is known about differences by sex and age. Methods: 105 men and 96 women aged between 18 and 90 years were analysed. Bioelectrical Impedance Analysis was used to estimate whole relative fat mass (RFM), visceral adipose tissue (VAT) and skeletal muscle mass index (SMI). An Anthroscan VITUSbodyscan was used to obtain 3D body scans (e.g. volumes, circumferences, lengths). To reduce the number of possible predictors that could predict RFM, VAT and SMI backward elimination was performed. With these selected predictors linear regression on the respective body compositions was performed and the explained variations were compared with models using standard anthropometric measurements (Body Mass Index (BMI), waist circumference (WC) and waist-to-height-ratio (WHtR)). Results: Among the models based on standard anthropometric measures, WC performed better than BMI and WHtR in estimating body composition in men and women. The explained variations in models including body scan variables are consistently higher than those from standard anthropometrics models, with an increase in explained variations between 5% (RFM for men) and 10% (SMI for men). Furthermore, the explained variation of body composition was additionally increased when age and lifestyle variables were added. For each of the body composition variables, the number of predictors differed between men and women, but included mostly volumes and circumferences in the central waist/chest/hip area and the thighs. Conclusions: 3D scan models performed better than standard anthropometric measures models to predict body composition. Therefore, it is an advantage for larger health studies to look at body composition more holistically using 3D full body surface scans.ISSN:0954-3007ISSN:1476-564

    Drawings or 3D models: Do illustration methods matter when assessing perceived body size and body dissatisfaction?

    No full text
    Research has reported that both men and women experience body dissatisfaction. Among other instruments, a widely used method to assess perceived body size and body dissatisfaction are figure rating scales. Although a variety of illustration methods (e.g., three-dimensional, or 3D, models and line-drawing models) have been used to create these figure rating scales, to date, they have not been directly compared to one another. Thus, in the first study, which includes 511 participants at a mean age of 46 years old (range: 20-70), the present research work aims to assess how the line-drawing and 3D model scales, representing different body illustration methods, relate to each other. Furthermore, the first study assesses the validity of the indication of body dissatisfaction measured using these figure rating scales by comparing them to body checking or scrutinizing behavior and body appreciation levels. The project's second study examines the two figure rating scales using objectively measured anthropometric data. In total, 239 participants at a mean age of 54 years (range: 18-94) were included. The results show that figure rating scales can be considered tools that measure perceptual body image due to their positive correlations with body checking behavior (for women) and their negative correlations with body appreciation. The 3D model and line-drawing scales show good to excellent inter-scale reliability, and both scales agree equally well with body mass index (BMI) measurements. Thus, the 3D model and line-drawing scales both seem well suited for assessing perceived body size and perceptual body dissatisfaction, suggesting that neither illustration method is superior to the other.ISSN:1932-620

    Associations between hydration status, body composition, sociodemographic and lifestyle factors in the general population: a cross-sectional study

    Full text link
    Background: Whole-body hydration status is associated with several health outcomes, such as dehydration, edema and hypertension, but little is known about the nonclinical determinants. Therefore, we studied the associations of sex, age, body composition, nutrition, and physical activity on several body hydration measures. Methods: We assessed sociodemographic variables, dietary habits, and physical activity by questionnaire and body composition by bioelectric impedance analysis (BIA). We compared determinants between the sexes and calculated associations between determinants and BIVA hydration measures by multivariable linear regressions. Results: A total of 242 adults from the general population (age 18-94, 47% women) were included. Women were younger, smaller, lighter, and had a smaller BMI (kg/m2) than men (p < 0.05). Women had less muscle mass, less visceral fat mass and less extracellular and intracellular water than men (p < 0.001). Women showed less intracellular water per extracellular water than men, while men showed higher phase angle values than women (both p < 0.001). Men had a stronger association of hydration measures with physical activity than women. Both sexes showed a decrease in hydration measures with age. Conclusions: Sex, age, body composition, and physical activity influence body hydration. There seem to be differences in body water regulation between the sexes. Especially interesting are factors susceptible to preventive measures such as physical activity. Keywords: BIA; Body hydration; Overweight; Physical activity; Sex differences

    Associations between hydration status, body composition, sociodemographic and lifestyle factors in the general population: a cross-sectional study

    No full text
    Background Whole-body hydration status is associated with several health outcomes, such as dehydration, edema and hypertension, but little is known about the nonclinical determinants. Therefore, we studied the associations of sex, age, body composition, nutrition, and physical activity on several body hydration measures. Methods We assessed sociodemographic variables, dietary habits, and physical activity by questionnaire and body composition by bioelectric impedance analysis (BIA). We compared determinants between the sexes and calculated associations between determinants and BIVA hydration measures by multivariable linear regressions. Results A total of 242 adults from the general population (age 18–94, 47% women) were included. Women were younger, smaller, lighter, and had a smaller BMI (kg/m2) than men (p < 0.05). Women had less muscle mass, less visceral fat mass and less extracellular and intracellular water than men (p < 0.001). Women showed less intracellular water per extracellular water than men, while men showed higher phase angle values than women (both p < 0.001). Men had a stronger association of hydration measures with physical activity than women. Both sexes showed a decrease in hydration measures with age. Conclusions Sex, age, body composition, and physical activity influence body hydration. There seem to be differences in body water regulation between the sexes. Especially interesting are factors susceptible to preventive measures such as physical activity.ISSN:1471-245

    Hydrogen Intensity and Real-Time Analysis Experiment: 256-element array status and overview

    No full text
    International audienceThe Hydrogen Intensity and Real-time Analysis Experiment (HIRAX) is a radio interferometer array currently in development, with an initial 256-element array to be deployed at the South African Radio Astronomy Observatory Square Kilometer Array site in South Africa. Each of the 6 m, f  /  0.23 dishes will be instrumented with dual-polarization feeds operating over a frequency range of 400 to 800 MHz. Through intensity mapping of the 21 cm emission line of neutral hydrogen, HIRAX will provide a cosmological survey of the distribution of large-scale structure over the redshift range of 0.775  <  z  <  2.55 over ∼15,000 square degrees of the southern sky. The statistical power of such a survey is sufficient to produce ∼7  %   constraints on the dark energy equation of state parameter when combined with measurements from the Planck satellite. Additionally, HIRAX will provide a highly competitive platform for radio transient and HI absorber science while enabling a multitude of cross-correlation studies. We describe the science goals of the experiment, overview of the design and status of the subcomponents of the telescope system, and describe the expected performance of the initial 256-element array as well as the planned future expansion to the final, 1024-element array
    corecore