BACKGROUNDThis systematic review and meta-analysis evaluates the additional effects of exercise to hypocaloric diet on body weight, body composition, glycaemic control, and cardio-respiratory fitness in adults with overweight or obesity and type 2 diabetes.METHODSEmbase, Medline, Web of Science, and Cochrane Central databases were evaluated and 11 studies were included. Random-effects meta-analysis was performed on body weight and measures of body composition and glycaemic control, to compare the effect of hypocaloric diet plus exercise with hypocaloric diet alone.RESULTSExercise interventions consisted of walking or jogging, cycle ergometer training, football training, or resistance training, and duration varied from 2 to 52!weeks. Body weight and measures of body composition and glycemic control decreased during both the combined intervention and hypocaloric diet alone. Mean difference in change of body weight (0.77 kg [95% CI: 2.03; 0.50]), BMI (0.34 kg/m2 [95% CI 0.73; 0.05]), waist circumference (1.42 cm [95% CI: 3.84; 1.00]), fat-free mass (0.18 kg [95% CI 0.52; 0.17]), fat mass (1.61 kg [95% CI 4.42; 1.19]), fasting glucose (+0.14 mmol/l [95% CI 0.02; 0.30]), HbA1c (0.06 % [95% CI 0.25; 0.13]), and HOMA-IR (+0.01 [95% CI: 0.40; 0.42]) was not statistically different between the combined intervention and hypocaloric diet alone. Two studies reported VO2max and showed significant increases upon addition of exercise to hypocaloric diet.CONCLUSIONAdditional effects of exercise to hypocaloric diet in adults with overweight or obesity and type 2 diabetes were not shown for body weight, body composition, or glycaemic control, while cardio-respiratory fitness improves.
MULTIFILE
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.
LINK
Background: A positive association between obesity based on body mass index (BMI) and periodontitis has been reported. Fat tissue-related systemic inflammation acts as the link to periodontal comorbidities of obesity. However, the BMI is unable to distinguish fat and fat-free tissues. More precise measures are required to evaluate body composition, including fat and fat-free tissues. This study aimed to determine the sex differences in the association between dual-energy x-ray absorptiometry (DXA)-measured body composition (i.e., fat mass and muscle mass) and phenotypes with periodontitis. Methods: Cross-sectional data of 3892 participants from the National Health and Nutrition Examination Survey (NHANES) study 2011‒2014 were analyzed. Adiposity indices (fat mass index [FMI] and percentage body fat [%BF]) and muscle mass index (MMI) were calculated. The participants were categorized by the quintiles of FMI, MMI, and %BF. Body composition phenotypes were categorized as: low adiposity-low muscle (LA-LM), low adiposity-high muscle (LA-HM), high adiposity-low muscle (HA-LM), or high adiposity-high muscle (HA-HM), respectively. Periodontitis was defined by the CDC/AAP (Centers for Disease Control and Prevention/American Academy of Periodontology) criteria. Multivariable logistic regression analysis was conducted, stratified by sex. We further adjusted for white blood cell (WBC) counts in the sensitivity analysis. Results: Restricted cubic splines revealed non-linear associations between body composition indices and periodontitis risk. Women with a higher FMI (odds ratio for Q5 vs. Q1 [ORQ5vs1] = 1.787, 95% confidence interval: 1.209–2.640) or %BF (ORQ5vs1 = 2.221, 1.509–3.268) had increased odds of periodontitis. In addition, women with HA-LM phenotype were more likely to develop periodontitis (OR = 1.528, 1.037–2.252). Interestingly, the WBC count, a systemic inflammatory biomarker, attenuated these associations. No statistically significant associations were found in men. Conclusions: The association between DXA-measured body composition and phenotypes with periodontitis differs per sex. Only in women higher adiposity indices and HA-LM phenotype were associated with an increased risk of periodontitis.
met Vrije Universiteit Brussel, Faculteit Lichamelijke opvoeding en Kinesitherapie, in kader van Movement and Rehabilitation Fellowship aan de VUB van lector Harriet Jager-Wittenaar.
Wheelchair users with a spinal cord injury (SCI) or amputation generally lead an inactive lifestyle, associated with reduced fitness and health. Digital interventions and sport and lifestyle applications (E-platforms) may be helpful in achieving a healthy lifestyle. Despite the potential positive effects of E-platforms in the general population, no studies are known investigating the effects for wheelchair users and existing E-platforms can not be used to the same extent and in the same manner by this population due to differences in physiology, body composition, exercise forms and responses, and risk injury. It is, therefore, our aim to adapt an existing E-platform (Virtuagym) within this project by using existing data collections and new data to be collected within the project. To reach this aim we intend to make several relevant databases from our network available for analysis, combine and reanalyze these existing databases to adapt the existing E-platform enabling wheelchair users to use it, evaluate and improve the use of the adapted E-platform, evaluate changes in healthy active lifestyle parameters, fitness, health and quality of life in users of the E-platform (both wheelchair users and general population) and identify determinants of these changes, identify factors affecting transitions from an inactive lifestyle, through an intermediate level, to an athlete level, comparing wheelchair users with the general population, and comparing Dutch with Brazilian individuals. The analysis of large datasets of exercise and fitness data from various types of individuals with and without disabilities, collected over the last years both in the Netherlands and Brazil, is an innovative and potentially fruitful approach. It is expected that the comparison of e.g. wheelchair users in Amsterdam vs. Sao Paulo or recreative athletes vs. elite athletes provides new insight in the factors determining a healthy and active lifestyle.
Wheelchair users with a spinal cord injury (SCI) or amputation generally lead an inactive lifestyle, associated with reduced fitness and health. Digital interventions and sport and lifestyle applications (E-platforms) may be helpful in achieving a healthy lifestyle. Despite the potential positive effects of E-platforms in the general population, no studies are known investigating the effects for wheelchair users and existing E-platforms can not be used to the same extent and in the same manner by this population due to differences in physiology, body composition, exercise forms and responses, and risk injury. It is, therefore, our aim to adapt an existing E-platform (Virtuagym) within this project by using existing data collections and new data to be collected within the project. To reach this aim we intend to make several relevant databases from our network available for analysis, combine and reanalyze these existing databases to adapt the existing E-platform enabling wheelchair users to use it, evaluate and improve the use of the adapted E-platform, evaluate changes in healthy active lifestyle parameters, fitness, health and quality of life in users of the E-platform (both wheelchair users and general population) and identify determinants of these changes, identify factors affecting transitions from an inactive lifestyle, through an intermediate level, to an athlete level, comparing wheelchair users with the general population, and comparing Dutch with Brazilian individuals. The analysis of large datasets of exercise and fitness data from various types of individuals with and without disabilities, collected over the last years both in the Netherlands and Brazil, is an innovative and potentially fruitful approach. It is expected that the comparison of e.g. wheelchair users in Amsterdam vs. Sao Paulo or recreative athletes vs. elite athletes provides new insight in the factors determining a healthy and active lifestyle.