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The Resistance Training Revolution: The No-Cardio Way to Burn Fat and Age-Proof Your Body--In Only 60 Minutes a Week

為了解決workout benefits的問題，作者Di Stefano, Sal 這樣論述：

＂Sal Di Stefano’s raw fitness truths about motivation, resistance training and intuitive eating can help anyone, at any age, at any level.＂--Jason Fung, MD, New York Times bestselling authorTired of spending hours on the treadmill? Dealing with the joint paint of high impact exercise? And seeing

very few results in terms of fat-burning and weight loss? If so, it’s time to join the revolution. Sal Di Stefano, the founder of the mega popular Mind Pump podcast, reveals how resistance training is the best form of exercise to burn fat, boost metabolism, and achieve health benefits you cannot obt

ain from other forms of exercise. Based on Mind Pump’s Muscular Adaptation Programming System (MAPS), The Resistance Training Revolution features: How to optimize your workout time with over 60 fat-burning, metabolism-boosting workouts you can do at homeRaw fitness truths about what works and what d

oesn’tThe newly discovered health benefits of resistance training in terms of heart health, bone strength, joint protection, and especially antiagingThe exact formula for nutrition that makes losing fat while sculpting your body a breezeDozens of self-assessments to track your progress, and much mor

e＂Stop those mindless hours of ’cardio’ and make real gains in health and weight loss... Resistance exercise that builds muscle is key to weight loss, metabolic health, even healthy aging.＂--William Davis, MD, #1 New York Times bestselling author of the Wheat Belly book series

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健身網紅教練職能建構-使用一個多屬性決策制定模型

為了解決workout benefits的問題，作者葉璟樹 這樣論述：

近年來，健康意識抬頭使得運動產業逐年增長，健身產業更是其中的熱門之一，越來越多人投身健身教練的行列。然而，在2019年時，因為 Coronavirus disease 2019 (COVID-19) 疫情開始大流行，健身產業受到衝擊並且開始改變營運模式。然而，健身教練們為了能夠不受疫情影響，開始將健身課程開始朝向網路化進行發展。健身教練們開始在社群媒體平台上經營自己的社群帳號，因此，運動網紅及健身網紅教練人數不斷開始增加，想成為健身網紅教練的人也越來越多。然而，目前政府對於健身網紅教練這一職業卻沒有相關的規範以及該職業之職能需求。因此，建立一個具有全面性與可靠性的健身網紅教練職能建構是非常重

要的任務。本研究建立了一個混合多屬性決策制定 (Multi-Attribute Decision-Making, MADM) 模型來討論上述問題，並且使用Bayesian Best Worst Method (Bayesian BWM) 來整合多位專家的意見，產生群組最佳準則權重，該方法克服了傳統BWM整合專家意見的缺點。接著，Modified Visekriterijumska Optimizacija i Kompromisno Resenje (VIKOR) 技術加入渴望水準的概念，以確定了健身網紅教練的職能績效與其優先順序。

Keto Pressure Cooker Cookbook for Women Over 50: The Quick & Easy Ketogenic Diet Guide for Senior Beginners After 50 with 145+ W

為了解決workout benefits的問題，作者Ramos Hughes, Suzanne 這樣論述：

If you have ever felt negatively towards your feed habits, then keep reading... Have you ever thought about your happiness? And what about your health?Have you ever really thought about what’s better to eat for you?The truth is: It is more difficult to lose weight as you get older. This is becaus

e, with age, our metabolism rate starts to decline.Every woman wants to have a fit physique no matter what her age is. But it has been found that weight loss programs are more effective with the increasing age of a person. The reason behind it being his or her metabolism. In general, the metabolism

speed starts slowing down by 5% every decade after a person turns 40. This means it slows down by 10% when the woman reaches 50 years of age.Another reason is that people tend to have more pains and aches in old age, so it is not always possible to practice heavy workout sessions.Thus maintaining a

proper dietary plan becomes the best way to lose weight. Although several diets are available in the present times, Keto seems to be the most popular amongst them.This book explains all about Keto Diet and includes more than 145 Keto recipes and tips on foods you should and should not be eating to b

ecome and stay healthy.You will learn: What is Keto Diet?Benefits of following Keto diet for women over 50Guidelines and rules for eating in the Keto DietWhat to eat and what to avoidAdvice away from homeMeasurement conversion tablesShopping List30 Day Meal PlanInstant Pot recipesBread Machine recip

esVegetarian Recipes * * * So, what are you waiting for? Buy NOW and let your customers become addicted to this Cookbook!* * *

Energy expenditure during a resistance training exercise in the healthy population

為了解決workout benefits的問題，作者MUHAMMAD ADEEL 這樣論述：

Background: Energy expenditure (EE) during resistance or strength training (RT/ST) exercise produces great fitness and health benefits for humans, but limited studies have investigated EE directly during resistance exercises. EE through metabolic equivalent (MET) and oxygen consumption (VO2) estima

tion during resistance workouts in humans can be modeled by using cardiorespiratory parameters and surface electromyography (sEMG) of local muscles.Objective: To determine energy cost during three resistance workouts comprising three exercises in stage 1. And to estimate energy cost during six resis

tance workouts consisting of three different exercises from cardiorespiratory parametersand sEMG of body muscles during stage 2.Methods: During stage 1, ten participants were enrolled into two groups: an untrained (n = 5, with no weight training experience) and a trained group (n = 5, with 2 months’

weight training experience). Each participant completed three training sessions on separate days. While wearing a mask for indirect calorimetric measurements, each participant completed training sessions carried out with three dumbbell exercises: bent-over row (BOR), deadlift (DL), and lunge (Lg).

METs, EE, respiratory exchange ratio (RER), heart rate (HR), systolic and diastolic blood pressure (SBP & DBP), and Borg rate of perceived exertion (RPE) were measured. During stage 2, eleven participants were recruited into two groups; an untrained (n = 5) and a trained group (n = 6) and they compl

eted six training sessions. The three types of dumbbell exercises performed are shoulder press, deadlift, and squat. The METs, RER, HR, SBP, DBP, blood lactate (BL), RPE, and sEMG of both sidesmiddle deltoid, lumbar erector spinae, quadriceps, and hamstring were measured. The MET from cardiorespirat

ory parameters and VO2 from the sEMG root mean square (RMS) of the investigated muscles were predicted using generalized estimating equations (GEE) for repeated measure data collected during exercise and rest periods.Results: During stage 1, the total cost of energy was derived from VO2 during each

exercise. Our results presented that the METs of a single training workout were 3.3 kcal for the untrained and 3.4 kcal for the trained groups, whereas the total EE was 683~688 kcal and 779~840 kcal, respectively. The respiratory exchange ratio (p = 0.010*) for the three exercises differed considera

bly, while the heart rate, systolic and diastolic blood pressure, and Borg rate of perceived exertion did not reach significant levels. During the stage 2 exercise period, RER, HR, SBP, and BL for the training group [quasi-likelihood under an independence model criterion] (QIC = 187, p = 0.0001***~0

.033*) while RER, HR, SBP, DBP, and RPE (QIC = 48, p = 0.0001***~0.002*) during the resting period for untrained group significantly estimated MET for moderate-intensity resistance training exercises. The sEMG of untrained vs. trained groups significantly computed GEE (QIC = 344, p = 0.020* vs. QIC

= 867, p = 0.018*), respectively. The predicted models for the three types of exercises for the untrained vs. trained groups were shoulder press (QIC = 129, p = 0.009* vs. QIC = 116, p = 0.001**), deadlift (QIC = 164, p = 0.003* vs. QIC = 309, p = 0.016*), and squat (QIC = 67, p = 0.009* vs. QIC = 3

65, p = 0.031*),respectively.Conclusion: The stage 1 exercise protocol of this study involved a moderate-intensity exercise of 2.4~3.9 METs. The energy cost of each training exercise was between 179~291 kcal. It is also inferred that the cardiorespiratory variables are significantly related to MET.

During stage 2, RER and HR significantly estimated MET for two groups along with SBP and BL for the training group. While during the resting period, RER, HR, SBP, DBP, and RPE related significantly for untrained and BL for training groups respectively. The models significantly predicted for the thre

e types of exercises using the right and left middle deltoid, right and left lumbar erector spinae, left rectus femoris, and right and left biceps femoris sEMG RMS for the untrained and trained groups during moderate-intensity strength training exercises.