The aim of the study was to investigate if and how body image, taken from a contextual perspective, contributes to the eating disorder history. This qualitative study investigated the process of eating disorder development in eight elite women athletes in at-risk sports. The results showed that the relationship between eating disorder symptomatology and the sports environment was clearly recognized by the elite women athletes. Contextual body image, more specifically negative body-evaluations and upward body comparisons, appeared as an important factor in the development of eating disorders, particularly in the athletic context. It became clear that the two aesthetic and two endurance athletes as well as the two weight-class athletes in rowing described quite negative body evaluations in the context of sport, while some of them also recognized an impact of body image experiences in daily life. However, for both judokas, their eating disorder had nothing to do with their body image but was attributed to the weight-classes in their sport and accompanying weight making. Several unique trajectories and individual eating disorder histories were distinguished which confirms the value of taking a qualitative approach in investigating eating disorders in sport. We also discovered links between what the athletes had reported as contributors to their eating disorder history and how they told their stories by combining content analysis and narrative inquiry. Furthermore, the present study also highlights several critical aspects for prevention and treatment that should support sport federations and clinical sport psychologists in taking appropriate actions to deal more effectively with eating disorders in athletes.
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Objective The purpose of this study was to investigate the relationship between body mass index (BMI) class and physical activity and sedentary behavior in patients with acute coronary syndrome (ACS) during cardiac rehabilitation (CR). Methods This study was a secondary analysis of the OPTICARE trial. Physical activity and sedentary behavior were measured in participants with ACS (n = 359) using actigraphy at baseline, directly after completion of a multidisciplinary 12-week exercise-based CR program and 9 months thereafter. Outcome measures were step count and duration of time (percentage of wear time) spent in light physical activity, moderate-to-vigorous physical activity, and sedentary behavior. Participants were classified as normal weight (BMI = 18.5–24.99 kg/m2; n = 82), overweight (BMI = 25.0–29.99 kg/m2; n = 182), or obese (BMI ≥ 30.0 kg/m2; n = 95). Linear mixed-effects models were applied to study the relationship between BMI class and physical activity and sedentary behavior. Results At the start of CR, compared with participants with normal weight, participants with obesity made on average 1.11 steps fewer per minute (952 steps/d), spent 2.9% (25 min/d) less time in light physical activity, and spent 3.31% (28 min/d) more time in sedentary behavior. Participants of all BMI classes improved their physical activity and sedentary behavior levels similarly during CR, and these improvements were maintained after completion of CR. Conclusion Participants with ACS who had obesity started CR with a less favorable physical activity and sedentary behavior profile than that of participants with normal weight. Because all BMI classes showed similar improvement during CR, this deficit was preserved. Impact This study indicates that reconsideration of the CR program in the Netherlands for patients with ACS and obesity is warranted, and development of more inclusive interventions for specific populations is needed. A new program for people with obesity should include added counseling on increasing physical activity and preventing sedentary behavior to facilitate weight loss and reduce mortality risk. Lay Summary People with ACS who have obesity are less active and sit more than individuals with normal weight, both during and after CR. This study suggests that CR needs to be changed to help individuals increase their physical activity to help them lose weight and reduce their risk of death.
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Background: Haemodialysis patients have a high risk of malnutrition which is associated with increased mortality. Nocturnal haemodialysis (NHD) is associated with a significant increase in protein intake compared with conventional haemodialysis (CHD). It is unclear whether this leads to improved nutritional status. Therefore, we studied whether 1 year of NHD is associated with a change in body composition. Methods: Whole-body composition using dual-energy X-ray absorptiometry (DEXA) and normalised protein catabolic rate (nPCR) were measured in 11 adult patients before and 1 year after the transition from CHD (12 h dialysis/week) to NHD (28-48 h dialysis/week). Similar measurements were performed in a matched control group of 13 patients who stayed on CHD. Differences between groups were analysed with linear mixed models. Results: At baseline, nPCR, total mass, fat-free mass, and fat mass did not differ significantly between the CHD and NHD groups. nPCR increased in the NHD group (from 0.96 ± 0.23 to 1.12 ± 0.20 g/kg/day; p = 0.027) whereas it was stable in the CHD group (0.93 ± 0.21 at baseline and 0.87 ± 0.09 g/kg/day at 1 year, n.s.). The change in nPCR differed significantly between the two groups (p = 0.027). We observed no significant differences in the course of total mass, fat-free mass, and fat mass during the 1-year observation period between the NHD and CHD groups. Conclusions: One year of NHD had no significant effect on body composition in comparison with CHD, despite a significantly higher protein intake in patients on NHD.
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In sports, inertial measurement units are often used to measure the orientation of human body segments. A Madgwick (MW) filter can be used to obtain accurate inertial measurement unit (IMU) orientation estimates. This filter combines two different orientation estimates by applying a correction of the (1) gyroscope-based estimate in the direction of the (2) earth frame-based estimate. However, in sports situations that are characterized by relatively large linear accelerations and/or close magnetic sources, such as wheelchair sports, obtaining accurate IMU orientation estimates is challenging. In these situations, applying the MW filter in the regular way, i.e., with the same magnitude of correction at all time frames, may lead to estimation errors. Therefore, in this study, the MW filter was extended with machine learning to distinguish instances in which a small correction magnitude is beneficial from instances in which a large correction magnitude is beneficial, to eventually arrive at accurate body segment orientations in IMU-challenging sports situations. A machine learning algorithm was trained to make this distinction based on raw IMU data. Experiments on wheelchair sports were performed to assess the validity of the extended MW filter, and to compare the extended MW filter with the original MW filter based on comparisons with a motion capture-based reference system. Results indicate that the extended MW filter performs better than the original MW filter in assessing instantaneous trunk inclination (7.6 vs. 11.7◦ root-mean-squared error, RMSE), especially during the dynamic, IMU-challenging situations with moving athlete and wheelchair. Improvements of up to 45% RMSE were obtained for the extended MW filter compared with the original MW filter. To conclude, the machine learning-based extended MW filter has an acceptable accuracy and performs better than the original MW filter for the assessment of body segment orientation in IMU-challenging sports situations.
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Objective: This study evaluated the effect of an after-school group-based medium-intensity multicomponent behavioural intervention programme for children aged 8–12 years classified as overweight, obese or at risk for overweight on body mass index standard deviation score (BMI SDS). In accordance with standardized protocols body weight and height were measured in 195 participants (88 boys, 107 girls) at baseline and at the end of the programme. A total of 166 children derived from a school-based monitoring system served as control group. Multivariate regression analyses examined the effect of the intervention and the independent factors associated with better outcomes in the intervention group. Results: Analysis of covariance showed a significant intervention effect on BMO SDS in favour of the intervention group (b-coefficient - 0.13 ± 0.03; p < 0.01) compared with the control group. Change in BMI SDS between baseline and follow-up in the intervention group was associated with baseline age (b-coefficient 0.03 ± 0.02; p=0.04) but was independent from gender, ethnicity, baseline BMI SDS, time between baseline and follow-up, school year and attendance rate.
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ObjectiveMany patients with coronavirus disease 2019 (COVID-19) infections were admitted to an intensive care unit (ICU). Physical impairments are common after ICU stays and are associated with clinical and patient characteristics. To date, it is unknown if physical functioning and health status are comparable between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The primary objective of this study was to compare handgrip strength, physical functioning, and health status between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The second objective was to identify factors associated with physical functioning and health status in patients in the ICU with COVID-19. Methods In this observational, retrospective chart review study, handgrip strength (handheld dynamometer), physical functioning (Patient-Reported Outcomes Measurement Information System Physical Function), and health status (EuroQol 5 Dimension 5 Level) were compared between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 using linear regression. Multilinear regression analyses were used to investigate whether age, sex, body mass index, comorbidities in medical history (Charlson Comorbidity Index), and premorbid function illness (Identification of Seniors At Risk-Hospitalized Patients) were associated with these parameters in patients in the ICU with COVID-19. Results In total, 183 patients (N = 92 with COVID-19) were included. No significant between-group differences were found in handgrip strength, physical functioning, and health status 3 months after ICU discharge. The multilinear regression analyses showed a significant association between sex and physical functioning in the COVID-19 group, with better physical functioning in men compared with women. Conclusion Current findings suggest that handgrip strength, physical functioning, and health status are comparable for patients who were in the ICU with COVID-19 and patients who were in the ICU without COVID-19 3 months after ICU discharge. Impact Aftercare in primary or secondary care in the physical domain of postintensive care syndrome after ICU discharge in patients with COVID-19 and in patients without COVID-19 who had an ICU length of stay >48 hours is recommended. Lay Summary Patients who were in the ICU with and without COVID-19 had a lower physical status and health status than healthy people, thus requiring personalized physical rehabilitation. Outpatient aftercare is recommended for patients with an ICU length of stay >48 hours, and functional assessment is recommended 3 months after hospital discharge.
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In this chapter the autor explores the contours and possible effects of the WMO for the local government level. First she gives a short overview of the main features of the WMO (PAR. 2.5). Then she describes the challenges that local government is confronted with, especially the political decisions that have to be taken at the local level (PAR. 2.3). The question to be answered is whether or not the WMO means an impulse for local democracy in the Netherlands. To that purpose, two quick comparisons are made (PAR. 2.4): with other decentralisation operations in the Netherlands, and with the decentralisation of social care and welfare in Sweden. These comparisons make it possible to determine two main conditions for creating an impulse for local politics, which are presented in PAR. 2.5. The article ends by some concluding remarks on the effect of the WMO on the local democracy in the Netherlands.
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Objective: Many patients with COVID-19 infections were admitted to an intensive care unit (ICU). Physical impairments are common after ICU stays and are associated with clinical and patient characteristics. To date, it is unknown if physical functioning and health status are comparable between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The primary objective of this study was to compare handgrip strength, physical functioning, and health status between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The second objective was to identify factors associated with physical functioning and health status in patients in the ICU with COVID-19. Methods: In this observational, retrospective chart review study, handgrip strength (handheld dynamometer), physical functioning (Patient-Reported Outcomes Measurement Information System Physical Function), and health status (EuroQol 5 Dimension 5 Level) were compared between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 using linear regression. Multilinear regression analyses were used to investigate whether age, sex, body mass index, comorbidities in medical history (Charlson Comorbidity Index), and premorbid function illness (Identification of Seniors At Risk-Hospitalized Patients) were associated with these parameters in patients in the ICU with COVID-19. Results: In total, 183 patients (N = 92 with COVID-19) were included. No significant between-group differences were found in handgrip strength, physical functioning, and health status 3 months after ICU discharge. The multilinear regression analyses showed a significant association between sex and physical functioning in the COVID-19 group, with better physical functioning in men compared with women. Conclusions: Current findings suggest that handgrip strength, physical functioning, and health status are comparable for patients who were in the ICU with COVID-19 and patients who were in the ICU without COVID-19 3 months after ICU discharge. Impact: Aftercare in primary or secondary care in the physical domain of postintensive care syndrome after ICU discharge in patients with COVID-19 and in patients without COVID-19 who had an ICU length of stay >48 hours is recommended.
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Bioelectrical impedance analysis (BIA) may be used to assess fat free mass (FFM) with reasonable validity based on mean-level comparisons, but differences between BIA and DXA may vary by about 4 kg in an individual patient. These results require confirmation in a larger sample of HNC (Head and neck cancer) patients.
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Achtergrond: Er is in de literatuur over morfodysforie al uitgebreid onderzoek gedaan naar de invloed van heersende schoonheidsidealen op het lichaamsbeeld vanuit de psychologie, sociologie en filosofie, maar nog niet naar de vraag hoe de stoornis volgens de genoemde zienswijzen cultuurhistorisch en technologisch wordt ‘gemedieerd’. Doel: Betogen dat de heersende normen en waarden rondom het uiterlijk die voorschrijven hoe lichaam en geest zich tot elkaar moeten verhouden, in verschillende tijdsperioden door het gebruik van de op dat moment in zwang zijnde technologieën, invloed hebben op de totstandkoming of het verloop van de stoornis. Methode: Literatuurstudie. Resultaten: Een cultuurhistorische vergelijking tussen de glasziekte en de morfodysfore stoornis. Conclusie: Het voert te ver om te zeggen dat de glasziekte van toen de morfodysforie van nu is als we kijken naar het type patiënten of hun symptomen. Echter, als we de relaties vergelijken tussen de notie van een verstoord lichaamsbeeld, en de technologische mediatie van de heersende normen en waarden rondom het perfecte lichaam, kunnen we toch stellen dat beide ziektes gemeenschappelijke kenmerken vertonen. LinkedIn: https://www.linkedin.com/in/elkemuller/
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