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Comparative effectiveness of adjunct non-pharmacological interventions on maternal and neonatal outcomes in gestational diabetes mellitus patients: A systematic review and network meta-analysis protocol of randomized controlled trials.
Saha, S
PloS one. 2022;(1):e0263336
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) in pregnancy leads to a range of perinatal complications. Although several randomized controlled trials (RCT) have tested the effect of non-pharmacological standard GDM care adjuncts on these outcomes, there is no agglomerated statistical evidence on how their occurrence risk varies across interventions and with placebo. Therefore, a systematic review and network meta-analysis (NMA) protocol is proposed here to address this evidence gap. MATERIALS AND METHODS A search for above RCTs published in the English language will transpire in PubMed, Embase, and Scopus databases irrespective of date and geographic boundary. The RCTs must test nutritional supplementation, digital intervention, structured exercise program, educational program, counseling service, or a combination of these prenatally in GDM patients. These should report ≥1 of the following outcomes- cesarean section, pre-eclampsia, polyhydramnios, preterm birth, macrosomia, prolonged labor, gestational hypertension, premature rupture of membranes, congenital anomaly, Apgar scores, birth weight, birth length, gestational age at birth, neonatal hypoglycemia, neonatal hyperbilirubinemia, and neonatal Corpulence Index. The risk of bias assessment of the recruited trials will transpire using the Revised Cochrane risk-of-bias tool. Determination of the comparative effectiveness between interventions will occur by the frequentist method NMA for respective outcomes. The categorical and continuous outcomes effect size will get calculated in risk ratio and weighted or standardized mean difference, respectively. For each NMA model, network maps and league tables will show the connections between interventions and effect sizes with their 95% confidence intervals for each intervention pair compared, respectively. The publication bias assessment will occur using comparison-adjusted funnel plots. Best intervention prediction for NMA models with statistically significant intervention effect will happen by determining the surface under the cumulative ranking curve values. Statistical analysis will ensue using Stata software (v16). The statistical significance estimation will happen at p<0.05 and 95% confidence interval. TRIAL REGISTRATION PROSPERO registration no: CRD42021271199; https://clinicaltrials.gov/.
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The Effect of Exercise Training on Lean Body Mass in Breast Cancer Patients: A Systematic Review and Meta-analysis.
Fraser, SF, Gardner, JR, Dalla Via, J, Daly, RM
Medicine and science in sports and exercise. 2022;(2):211-219
Abstract
PURPOSE Reduced lean body mass (LBM) is common during and after treatment for breast cancer, and it is associated with increased treatment-induced toxicity, shorter time to tumor progression, and decreased survival. Exercise training is a potential intervention for maintaining or increasing LBM. We conducted a systematic review and a meta-analysis to investigate the effects of exercise training on LBM in breast cancer. METHODS A comprehensive search was performed to November 2020 for randomized controlled trials reporting the effects of structured exercise training on LBM compared with control in women with breast cancer during or after cancer treatment. A random-effects meta-analysis was completed using the absolute net difference in the change in LBM between intervention and control groups as the outcome measure. Sensitivity and subgroup analyses were also performed. RESULTS Data from 17 studies involving 1743 breast cancer survivors were included in the meta-analysis. Overall, there was a significant benefit of exercise training compared with control on LBM (0.58 kg, 95% confidence interval = 0.27 to 0.88, P < 0.001). Subgroup analysis showed positive effects for resistance training (0.59 kg) and aerobic training (0.29 kg), and for exercise training conducted during (0.47 kg) or after (0.66 kg) cancer treatment. Exercise training was beneficial in studies enrolling postmenopausal women (0.58 kg) as well as in those with participants of mixed menopausal status (1.46 kg). CONCLUSIONS Compared with usual care, exercise training has a beneficial effect on LBM in women with breast cancer, both during and after cancer treatment. Given the physiological and functional importance of LBM in women with breast cancer, oncologists should encourage their patients to engage in regular exercise training, with particular emphasis on resistance training.
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Effects of a Lifestyle Intervention on Bone Turnover in Persons with Type 2 Diabetes: A Post Hoc Analysis of the U-TURN Trial.
Abildgaard, J, Johansen, MY, Skov-Jeppesen, K, Andersen, LB, Karstoft, K, Hansen, KB, Hartmann, B, Holst, JJ, Pedersen, BK, Ried-Larsen, M
Medicine and science in sports and exercise. 2022;(1):38-46
Abstract
INTRODUCTION/PURPOSE The increased risk of fractures with type 2 diabetes (T2D) is suggested to be caused by decreased bone turnover. Current international guidelines recommend lifestyle modifications, including exercise, as first-line treatment for T2D. The aim of this study was to investigate the effects of an exercise-based lifestyle intervention on bone turnover and bone mineral density (BMD) in persons with T2D. METHODS Persons with T2D were randomized to either a 12-month lifestyle intervention (n = 64) or standard care (n = 34). The lifestyle intervention included five to six weekly aerobic training sessions, half of them combined with resistance training. Serum markers of bone turnover (osteocalcin, N-terminal propeptide of type-I procollagen, reflecting bone formation, and carboxyterminal collagen I crosslinks, reflecting bone resorption) and BMD (by DXA) were measured before the intervention and at follow-up. RESULTS From baseline to follow-up, s-propeptide of type-I procollagen increased by 34% (95% confidence interval [CI], 17%-50%), serum-carboxyterminal collagen I crosslink by 36% (95% CI, 1%-71%), and s-osteocalcin by 31% (95% CI, 11-51%) more in the lifestyle intervention group compared with standard care. Loss of weight and fat mass were the strongest mediators of the increased bone turnover. Bone mineral density was unaffected by the intervention (ΔBMD, 0.1%; 95% CI, -1.1% to 1.2%). CONCLUSIONS A 12-month intensive exercise-based lifestyle intervention led to a substantial but balanced increase in bone turnover in persons with T2D. The increased bone turnover combined with a preserved BMD, despite a considerable weight loss, is likely to reflect improved bone health and warrants further studies addressing the impact of exercise on risk of fractures in persons with T2D.
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Personal Activity Intelligence e-Health Program in People with Type 2 Diabetes: A Pilot Randomized Controlled Trial.
Coombes, JS, Keating, SE, Mielke, GI, Fassett, RG, Coombes, BK, O'Leary, KP, Cox, ER, Burton, NW
Medicine and science in sports and exercise. 2022;(1):18-27
Abstract
INTRODUCTION Innovative strategies are needed to enable people with type 2 diabetes (T2D) to self-manage physical activity (PA). Personal Activity Intelligence (PAI) is a new metric that uses the heart rate response to PA to inform the user as to whether they are doing enough PA to reduce the risk of premature mortality. The PAI score reflects PA over the previous 7 d with the goal to maintain a score ≥100. The aim of this study was to investigate the feasibility, acceptability, and efficacy of the PAI e-Health Program in people with T2D. METHODS Thirty participants with T2D who were not meeting PA guidelines were randomly assigned to 12 wk of either 1) PAI e-Health Program or 2) PA attention control. The PAI e-Health Program consisted of receiving a wrist-worn heart rate monitor and an app with the PAI metric, and attending 4 × 2 h·wk-1 sessions of exercise and counseling. Feasibility and acceptability of the program were evaluated by achievement of a PAI score ≥100 and participant feedback. Efficacy was determined from changes in glycemic control, cardiorespiratory fitness, exercise capacity (time-on-test), body composition, sleep time, and health-related quality of life. RESULTS Program participants in the PAI e-Health Program had a mean ± SD PAI score of 119.7 ± 60.6 and achieved ≥100 PAI on 56.4% of the days. The majority of participants (80%) intended to continue to use PAI monitoring. Compared with control, the PAI group significantly improved their exercise capacity (mean difference, 95% confidence interval) (63 s, 17.9-108.0 s), sleep time (67.2 min, 7.2-127.1 min), total percent body fat (-1.3%, -2.6% to -0.1%), and gynoid fat percent (-1.5%, -2.6 to -0.5). CONCLUSIONS The PAI e-Health Program is feasible, acceptable, and efficacious in people with T2D.
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The Effect of High-intensity Interval Training vs Moderate-intensity Continuous Training on Liver Fat: A Systematic Review and Meta-Analysis.
Sabag, A, Barr, L, Armour, M, Armstrong, A, Baker, CJ, Twigg, SM, Chang, D, Hackett, DA, Keating, SE, George, J, et al
The Journal of clinical endocrinology and metabolism. 2022;(3):862-881
Abstract
CONTEXT Non-alcoholic fatty liver disease, characterized by excess fat accumulation in the liver, is considered the hepatic manifestation of metabolic syndrome. Recent findings have shown that high-intensity interval training (HIIT) can reduce liver fat but it is unclear whether this form of exercise is superior to traditional moderate-intensity continuous training (MICT). OBJECTIVE The aim of this systematic review was to determine the effect of HIIT vs MICT on liver fat in adults. A secondary aim was to investigate the interaction between total weekly exercise volume and exercise-related energy expenditure and change in liver fat. METHODS Relevant databases were searched up to December 2020 for randomized trials, comparing HIIT to control, MICT to control, or HIIT to MICT. Studies were excluded if they did not implement 2 or more weeks' intervention or assess liver fat using magnetic resonance-based techniques. Weighted mean differences and 95% CIs were calculated. Regression analyses were undertaken to determine the interaction between weekly exercise volume in minutes and kilocalories (kcal) with change in liver fat content. RESULTS Of the 28 268 studies screened, 19 were included involving 745 participants. HIIT and MICT both elicited moderate reductions in liver fat content when compared to control (HIIT: -2.85%, 95% CI, -4.86 to -0.84, P = .005, I2 = 0%, n = 114, low-certainty evidence; MICT -3.14%, 95% CI, -4.45 to -1.82, P < .001, I2 = 5.2%, n = 533, moderate-certainty evidence). There was no difference between HIIT and MICT (-0.34%, 95% CI, -2.20 to 1.52, P = .721, I2 = 0%, n = 177, moderate-certainty evidence). Neither total exercise volume in minutes (β = .0002, SE = 0.0017, Z = 0.13, P = .89) nor exercise-related energy expenditure in kcal (β = .0003, SE = 0.0002, Z = 1.21, P = .23) were related to changes in liver fat content. CONCLUSION HIIT elicits comparable improvements in liver fat to MICT despite often requiring less energy and time commitment. Further studies should be undertaken to assess the relative importance of aerobic exercise prescription variables, such as intensity, on liver fat.
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What non-pharmacological treatments do people with polymyalgia rheumatica try: results from the PMR Cohort Study.
Weddell, J, Hider, SL, Mallen, CD, Muller, S
Rheumatology international. 2022;(2):285-290
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Abstract
Polymyalgia rheumatica (PMR) is common. The mainstay of treatment, glucocorticoids, are associated with significant adverse effects and many patients remain on high doses for a number of years. Little is known about the use of other, non-pharmacological therapies as adjuncts in PMR. The PMR Cohort Study is an inception cohort study of patients diagnosed with PMR in primary care. This analysis presents data on the use and perceived impact of non-pharmacological therapies from a long-term follow-up survey. Non-pharmacological treatments were classified as either diet, exercise, or complementary therapies. Results are presented as adjusted means, medians, and raw counts where appropriate. One hundred and ninety-seven participants completed the long-term follow-up questionnaire, of these 81 (41.1%) reported using non-pharmacological therapy. Fifty-seven people reported using a form of complementary therapy, 35 used exercise and 20 reported changing their diet. No individual non-pharmacological therapy appeared to be associated with long-term outcomes. The use of non-pharmacological therapies is common amongst PMR patients, despite the paucity of evidence supporting their use. This suggests that people perceive a need for treatment options in addition to standard glucocorticoid regimens. Further research is needed to understand patients' aims when seeking additional treatments and to strengthen the evidence base for their use so that patients can be guided towards effective options.
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Non-pharmacological interventions for bone health after stroke: A systematic review.
Sallehuddin, H, Ong, T, Md Said, S, Ahmad Tarmizi, NA, Loh, SP, Lim, WC, Nadarajah, R, Lim, HT, Mohd Zambri, NH, Ho, YY, et al
PloS one. 2022;(2):e0263935
Abstract
OBJECTIVE To examine the effectiveness and safety of non-pharmacological interventions to reduce bone loss among post-stroke adult patients. DATA SOURCES Cochrane Central Register of Controlled Trials (CENTRAL), Cochrane Database for Systematic Reviews, MEDLINE, CINAHL, ScienceDirect, Scopus, PubMed and PeDRO databases were searched from inception up to 31st August 2021. METHODS A systematic review of randomized controlled trials, experimental studies without randomization and prospective cohort studies with concurrent control of non-pharmacological interventions for adult stroke patients compared with placebo or other stroke care. The review outcomes were bone loss, fall and fracture. The Cochrane Risk of Bias Tools were used to assess methodological quality, and Grading of Recommendations, Assessment, Development and Evaluations Framework to assess outcome quality. Synthesis Without Meta-Analysis (SWiM) was used for result synthesis. RESULTS Seven studies (n = 453) were included. The methodological and outcome qualities varied from low to moderate. There were statistically significant changes between the intervention and parallel/placebo group in bone mineral density, bone mineral content, cortical thickness and bone turnover markers with specific physical and vibration therapies (p<0.05). Falls were higher in the intervention group, but no fracture was reported. CONCLUSION There was low to moderate evidence that physical and vibration therapies significantly reduced bone loss in post-stroke patients at the expense of a higher falls rate. The sample size was small, and the interventions were highly heterogeneous with different duration, intensities and frequencies. Despite osteoporosis occurring with ageing and accelerated by stroke, there were no studies on vitamin D or protein supplementation to curb the ongoing loss. Effective, high-quality non-pharmacological intervention to improve post-stroke bone health is required.
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Effect of Application of Treadmill Training on Metabolic Control and Vitamin D Level in Saudi Patients with Type 2 Diabetes Mellitus.
El Askary, A, Shafie, A, Almehmadi, M, Allam, HH, Elsayyad, LK, Hassan, AF, Althobaiti, BB, Khalifa, MM, Saber, T, Alharthi, AH, et al
Computational and mathematical methods in medicine. 2022;:3059629
Abstract
BACKGROUND Diabetes mellitus type 2 and vitamin D deficiency are both prevalent in the Saudi Arabia. Vitamin D deficiency treatment with supplements carries a risk of intoxication. AIM: The present study is aimed at elucidating the effect of exercise on modulation of metabolic status and vitamin D level in patients with type 2 diabetes mellitus (T2DM). METHODS A sum of 110 type 2 diabetic patients were voluntarily enrolled for the present investigation by dividing them into two separate groups (55 individuals for each group), the diabetic study group and diabetic control group. The diabetic study group was engaged in the training program using treadmill exercise. Laboratory parameters were monitored before and after the training program. RESULTS There were significant elevation in the diabetic study group compared to diabetic control group regarding postexercise vitamin D level, high-density lipoprotein (HDL) (p value ≤ 0.001, 0.045; respectively). In addition, triglycerides, low-density lipoprotein (LDL), glycosylated hemoglobin (HbA1C), and homeostatic model assessment-insulin resistance (HOMA-IR) were significantly decreased (p value < 0.001 for all mentioned parameters). Moreover, there were significant higher level in postexercise parameters as compared to preexercise level in the diabetic study group. CONCLUSION The exercise training program improved the metabolic control and vitamin D level after three months of intervention.
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A Comparative Study of Health Efficacy Indicators in Subjects with T2DM Applying Power Cycling to 12 Weeks of Low-Volume High-Intensity Interval Training and Moderate-Intensity Continuous Training.
Li, J, Cheng, W, Ma, H
Journal of diabetes research. 2022;:9273830
Abstract
This study is aimed at comparing the effects of different exercise intensities, namely, high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT), on body composition, heart and lung fitness, and blood glucose, and blood pressure indices in patients with type 2 diabetes mellitus (T2DM), using power cycling. A total of 96 T2DM volunteers who met the inclusion criteria were recruited from a hospital in Yangpu, Shanghai. Based on the blood index data of their medical examination results which comprised blood pressure, fasting blood glucose, hemoglobin A1c (HbA1c), and insulin, 37 volunteers were included in the study. Exercise prescription was determined based on T2DM exercise guidelines combined with medical diagnosis and exercise test results, and the patients were randomly assigned to three groups: HIIT group, MICT group, and control (CON) group. HIIT involved one-minute power cycling (80%-95% maximal oxygen uptake (VO2max)), one-minute passive or active rest (25%-30% VO2max), and two-minute rounds of eight groups. MICT required the use of a power bike for 30 minutes of continuous training (50%-70% VO2max) five times a week. The CON group was introduced to relevant medicine, exercise, and nutrition knowledge. The exercise interventions were completed under the supervision of an exercise instructor and hospital doctors. The same indicators were measured after 12 weeks of intervention, and the results of the two tests within and between groups were analyzed for comparison. The weight index of the MICT intervention showed statistically significant within-group differences (difference = 3.52, 95% CI = 2.11-4.92, p = 0.001 < 0.01); group differences for the MICT and CON groups were also statistically significant (difference = 3.52 ± 2.09, Cd1 = -0.39 ± 1.25, p = 0.004 < 0.01). Body mass index (BMI) analysis revealed that the overall means of BMI indicators were not statistically different between groups (F = 0.369, p = 0.694 > 0.05) and the before and after values of the MICT and CON (difference = -1.30 ± 0.79, Cd1 = -0.18 ± 0.45, p = 0.001 < 0.01). No statistically significant difference was observed in the overall mean VO2max index between the groups after the 12-week intervention (F = 2.51, p = 0.100 > 0.05). A statistically significant difference was found in the overall means of the data between the two groups (difference = 0.32, 95% CI = 0.23-0.40, p = 0.001 < 0.01). Analysis of fasting blood glucose (FBG) indicators revealed statistically significant differences between the MICT and control groups (p = 0.028 < 0.05). Analysis of HbA1c and fasting insulin (FI) indicators revealed no statistically significant difference in the overall HbA1c index after the 12-week exercise intervention (F = 0.523, p = 0.598 > 0.05), and the overall difference before and after the experiment between the groups was statistically significant (F = 6.13, p = 0.006 < 0.01). No statistically significant difference was found in the FI index overall after the 12-week exercise intervention (F = 2.50, p = 0.1 > 0.05). Analysis of systolic blood pressure (SBP) revealed statistically significant difference before and after the HIIT and CON interventions (Hd7 = -1.10 ± 1.79, Cd7 = 1.2 ± 1.31, p = 0.018 < 0.05) and statistically significant difference before and after the MICT and CON interventions (Md7 = -0.99 ± 0.91, Cd7 = 1.40 ± 1.78, p = 0.02 < 0.05). The diastolic blood pressure (DBP) revealed no statistically significant within-group differences before and after. Exercise interventions applying both low-volume HIIT and MICT, with both intensity exercises designed for power cycling, improved health-related indicators in the participants; low-volume HIIT had more time advantage. The current experiment compared HIIT with MICT in a safe manner: 50% of the exercise time produced similar benefits and advantages in the two indicators of VO2max and FI. However, MICT was superior to HIIT in the two indicators of body weight (weight) and BMI. The effect of power cycling on FI has the advantages of both aerobic and resistance exercise, which may optimize the type, intensity, and time of exercise prescription according to the individual or the type of exercise program. Our results provide a reference for the personalization of exercise prescription for patients with T2DM.
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Exercise Interventions Targeting Obesity in Persons With Spinal Cord Injury.
McMillan, DW, Maher, JL, Jacobs, KA, Nash, MS, Gater, DR
Topics in spinal cord injury rehabilitation. 2021;(1):109-120
Abstract
Spinal cord injury (SCI) results in an array of cardiometabolic complications, with obesity being the most common component risk of cardiometabolic disease (CMD) in this population. Recent Consortium for Spinal Cord Medicine Clinical Practice Guidelines for CMD in SCI recommend physical exercise as a primary treatment strategy for the management of CMD in SCI. However, the high prevalence of obesity in SCI and the pleiotropic nature of this body habitus warrant strategies for tailoring exercise to specifically target obesity. In general, exercise for obesity management should aim primarily to induce a negative energy balance and secondarily to increase the use of fat as a fuel source. In persons with SCI, reductions in the muscle mass that can be recruited during activity limit the capacity for exercise to induce a calorie deficit. Furthermore, the available musculature exhibits a decreased oxidative capacity, limiting the utilization of fat during exercise. These constraints must be considered when designing exercise interventions for obesity management in SCI. Certain forms of exercise have a greater therapeutic potential in this population partly due to impacts on metabolism during recovery from exercise and at rest. In this article, we propose that exercise for obesity in SCI should target large muscle groups and aim to induce hypertrophy to increase total energy expenditure response to training. Furthermore, although carbohydrate reliance will be high during activity, certain forms of exercise might induce meaningful postexercise shifts in the use of fat as a fuel. General activity in this population is important for many components of health, but low energy cost of daily activities and limitations in upper body volitional exercise mean that exercise interventions targeting utilization and hypertrophy of large muscle groups will likely be required for obesity management.