Changes in heart rate variability and post exercise blood pressure from manipulating load intensities of resistance-training

Background: The isolated effect of resistance training (RT) on heart rate variability (HRV) and blood pressure (BP) is crucial when prescribing suitable training programmes for healthy individuals. Objective: The purpose of this study was to compare BP and HRV responses in physically active men after an acute RT session with loads of 5-, 10- or 15-repetition maximums (5RM, 10RM and 15RM). Method: Eighty-one men (age: 21.6±1.1yr; body mass: 74.1±5.8 kg; height: 175.3 ±7.1cm) who performed moderate to vigorous physical activities for at least 30 min a day on most days of the week participated in this study. After the of 5RM loads for the bent-over row (BR), bench press (BEP), Dead-lift (DL) and squats (SQ), participants were divided into three training load groups (15RM = GrpL, 10RM = GrpM or 5RM = GrpH). During the experimental session, each group (n=27) performed 3 sets for each of the four exercise, with 2-min rest intervals between sets and exercises with their assigned training load. BP and HRV were measured prior to, immediately after, and at 15-min intervals until two hours post-experiment. Results: All three groups attained improved BP (p = .001) reductions and longer HRV (p = .0001) changes after an acute exercise session but the GrpM (10RM) and and GrpL (15RM) performed better than GrpH (5RM). Conclusion: Strength and conditioning professionals may prescribe exercises with 10-15RM loads if the aim is to obtain an acute reduction in BP after an RT session

The role of high-, moderate-, and low-intensity training in enhancing functional mobility and muscle strength of aged female: a randomized controlled trial

Resistance training provides many benefits to the older population, and it is considered one of the most effective ways to counter-attack age-related sarcopenia and dynapenia disorders. This article evaluates the impacts of high, moderate, and low training intensities on muscle strength and functional mobility of older adults. A single-blinded factorial design for 12 weeks was conducted among 60 healthy older Malaysian women (>65 years). The authors assessed the Five times Sit to Stand (5STS), the Timed Up and Go test (TUG), and the 6 Minutes Walking Test (6MWT). The participants were randomly divided to the HighIntensity Group (HIT; n=15) (69.60 ± 3.68); Moderate-Intensity Group (MIT; n=15) (69.27 ± 3.41); Low-Intensity Training (LIT; n=15) (69.27 ± 1.94); and Control Group (CG; n=15) (68.67 ± 2.38). In terms of time, there is a statistically noticeable difference in the means of all the variables (p< .001). Moreover, a statistically significant connection between the intervention and time was seen on all the variables (p< .001). However, there was a statistically significant difference between the means of 5STS (P< .001) and TUG (P= .025) in the intervention groups, there was no statistically significant difference observed in 6MWT (P= .90). The results suggested that all of these intensities training are beneficial for improving muscle strength and functional mobility. In addition, the HIT is more effective in improving the 5STS, TUG, and 6MWT, as compared to the MIT, LIT, and CG. These findings revealed that HIT tends to result in greater improvement of muscle strength and mobility

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Effects of manipulating resistance training variables on post exercise blood pressure and heart rate variability

The purpose of this study was to compare blood pressure (BP) and heart rate variability (HRV) responses in physical active men after resistance training (RT) with different rest interval (RI) between sets (1, 2 and 3 minutes) and 3 different number of sets (3, 5 and 7 sets) with loads of 5 repetition maximum 5RM, 10RM, and 15RM. The HRV frequency-domain analysis provided high frequency (HF) and low frequency (LF) measurements which reflects sympathetic and parasympathetic activation. BP responses were measured in systolic (SBP) and diastolic (DBP). Due to large number of study variables we conducted two studies. Eighty-one men (21.6 ± 1.1yr; body mass: 74.1 ± 8.1kg; height: 175.3 ±7.1cm) who performed moderate to vigorous activities for a minimum of 30mins a day on at least five days a week participated in this study. After determination of 5RM loads for bent-over row, bench press, deadlift and squats, participants were divided into nine groups to perform different RT protocol in each group. Each group received different mixture of loads (5RM, 10RM or 15RM), Sets (3 Sets, 5 Sets or 7 Sets) and Rest Interval (1- min, 2-min or 3-min) for each exercise. All experimental sessions were performed in the following exercise order: squat, bench press, barbell bentover row followed by deadlift. Before and for two hours after each session, BP and HRV were measured. The results of the first study demonstrated low, moderate and high loads intensities (5RM, 10RM and 15RM) decreased SBP up until 120 min post-exercise. However, the DBP value remained low up until 105 min in 5RM and 15RM loads. Low frequency value was increased in 5RM, 10RM and 15RM up until 75, 90 and 60 min post exercise. The LF and HF values for each RIs between sets were not significantly differed among load intensities after RT session. In the second study results demonstrated low, moderate and high loads intensities (5RM, 10RM and 15RM) decreased SBP up until 75, 90 and 120 min post-exercise respectively. However, the DBP value remained low up until 90 min for 10RM and 15RM loads and low DBP value up until 45 min for 5RM load. Low frequency value was increased in 3, 5 and 7 sets up until 90, 105 and 120 min post-exercise respectively. High Frequency value was decreased in 3, 5 and 7 sets up until 90, 75 and 75 min post exercise respectively. The findings of this study showed a significant postexercise BP and HRV changes after RT in physical active men. The extent of the cardiac response was related to extended number of sets, rest intervals between sets and load intensities performed during training. Higher sets with a heavier load caused a greater response in BP and HRV. Thus, strength and protocol experts may prescribe higher number of exercise, longer rest intervals between sets and exercises with higher loads when the goal is to reduce BP after RT sessions as well as to minimise cardiac stress

Effect of strength training programs on shoulder and scapular muscle among elite swimmers

On previous Olympic Games, swimming was one of the most popular events and it has encouraged improvement in conditioning, technical advances, and the use of sophisticated training equipment, but escalations in the level of competition and training have been allied to a concurrent rise in shoulder damages. Competitive swimmers exercise almost every day and swim on average 12000 meters each day, approximately 16000 times of shoulder rotation. Strength imbalances of the shoulder musculature and shoulder pain are suggestively correlated in swimming athletes and Shoulder instability can lead to pain, impingement, and decreased functioning in overhead athletes. Literatures have tried to examine whether changes occur in shoulder girdle muscle performance and strength by using the appropriate strengthening exercise. This study reviews those previous studies intervention and explains the result of each exercise protocols on rotator cuff muscles. All of previous studies commonly suggested that exercise interventions might encourage the proper posture of swimmers. They are recommending that their program had a protective effect pain but so far few studies have planned a prevention program design specifically for swimmers shoulder that addresses the weaknesses and changed movement pattern of swimmers

Changes in Heart Rate Variability and Post Exercise Blood Pressure from Manipulating Load Intensities of Resistance-Training

Background: The isolated effect of resistance training (RT) on heart rate variability (HRV) and blood pressure (BP) is crucial when prescribing suitable training programmes for healthy individuals. Objective: The purpose of this study was to compare BP and HRV responses in physically active men after an acute RT session with loads of 5-, 10- or 15-repetition maximums (5RM, 10RM and 15RM). Method: Eighty-one men (age: 21.6±1.1yr; body mass: 74.1±5.8 kg; height: 175.3 ±7.1cm) who performed moderate to vigorous physical activities for at least 30 min a day on most days of the week participated in this study. After the of 5RM loads for the bent-over row (BR), bench press (BEP), Dead-lift (DL) and squats (SQ), participants were divided into three training load groups (15RM = GrpL, 10RM = GrpM or 5RM = GrpH). During the experimental session, each group (n=27) performed 3 sets for each of the four exercise, with 2-min rest intervals between sets and exercises with their assigned training load. BP and HRV were measured prior to, immediately after, and at 15-min intervals until two hours post-experiment. Results: All three groups attained improved BP (p = .001) reductions and longer HRV (p = .0001) changes after an acute exercise session but the GrpM (10RM) and and GrpL (15RM) performed better than GrpH (5RM). Conclusion: Strength and conditioning professionals may prescribe exercises with 10-15RM loads if the aim is to obtain an acute reduction in BP after an RT session

The Effects of Different Exercise Intensities on the Static and Dynamic Balance of Older Adults: A randomised Controlled Trial

This study aims to find the effectiveness of different exercise intensities (high-, moderate-, and low-intensity) on the dynamic and static balance of elderly women. A single-blinded factorial design study was conducted in healthy older adults (>65 years) in 12 weeks. The authors have assessed the Forward Reach Test (FRT), Lateral Reach Test (LRT), One Leg Stand (OLS), Tandem Stand Test (TST) in 60 healthy older women at a gym centre, Fit House located in Bukit Rimau, Kuala Lumpur, Malaysia. Participants were randomly assigned to a High-Intensity Training (HIT) group; (n=15) (Mean age 69.60 ± 3.68) who performed four exercises [Leg Press (LP), Leg Extension (LE), Leg Curl (LC), and Calf Raises (CR)] at 80 to 90% of One-Repetition Maximum (1RM); Moderate-Intensity Training (MIT) group (n=15) (Mean age 69.27 ± 3.41) performed at 65 to 75% of 1RM; Low- Intensity Training (LIT) group (n=15) (Mean age 69.27 ± 1.94) performed at 50 to 60% of 1 RM; and a Control Group (CG) (n = 15) (Mean age 68.67 ± 2.38) with no training. Data was collected at pre-test, 4th, 8th, and 12th weeks of intervention. 60 participants were analysed and the main effect of time showed a statistically significant difference in the mean of all variables (all p < 0.001), and also there was a statistically significant interaction between intervention and time on all variables (all p < 0.001). Different levels of intensity on only the lower extremities muscles had a significant effect on the dynamic balance and static balance of the elderly population. After four weeks of training HIT, MIT, and LIT illustrated significant improvement in dynamic balance, as well as static balance