Background We investigate the association between different muscle strength(MS)indices with cardiometabolic variables in adolescents.Methods Cross-sectional study comprising 351 adolescents(male 44.4%,age 16.6±1....Background We investigate the association between different muscle strength(MS)indices with cardiometabolic variables in adolescents.Methods Cross-sectional study comprising 351 adolescents(male 44.4%,age 16.6±1.0 years)from Brazil.MS was assessed by handgrip strength and analyzed in live difrerent ways:absolute MS and MS normalized for body weight,body mass index(BMI),height,and fat mass,respectively.Cardiometabolic variables investigated as outcomes were systolic and diastolic blood pressure(DBP),waist circumference(WC),high-sensitive C-reactive protein(hs-CRP),lipid and glucose metabolism markers.Multiple linear regression models adjusted for confounding factors were used.Results Absolute MS and/or MS normalized for height was directly associated with WC[up to 32.8 cm.standard error(SE)=4.7]and DBP(up to 8.8 mmHg,SE=0.8),and inversely associated with high-density lipoprotein cholesterol(up to-8.0 mg/dL.SE=14.1).MS normalized for body weight.BMI or fat inass was inversely associated with WC(up to-17.5 cm,SE=2.2).According tesex,MS normalized for fat mass was inversely associated with triglycerides(male:0.02 times lower,SE=0.01;female:0.05 times lower,SE=0.01)and homeostatic model assessment for insulin resistance(male:0.02 times lower,SE=0.01;female:0.06 times lower.SE=0.01).and inversely associated with hs-CRP only among male(0.03 times lower,SE=0.01).Conclusion When normalized for body weight,BMI or fat mass,MS was superior to absolute MS or MS normalized for height in representing adequately cardiometabolic variables among adolescents.展开更多
Purpose To summarize current non-exercise prediction models to estimate cardiorespiratory fitness(CRF),cross-validate these models,and apply them to predict health outcomes.Methods PubMed search was up to August 2018 ...Purpose To summarize current non-exercise prediction models to estimate cardiorespiratory fitness(CRF),cross-validate these models,and apply them to predict health outcomes.Methods PubMed search was up to August 2018 for eligible publications.The current review was comprised of three steps.The first step was to search the literature on non-exercise prediction models.The key words combined non-exercise,CRF and one among prediction,prediction model,equation,prediction equation and measurement.The second step was to search the literature about cross-validation of non-exercise equations.The key words included non-exercise,CRF and one among validation,cross-validation and validity.The last step was to search for application of CRF assessed from non-exercise equations.The key words were non-exercise,CRF,mortality,all-cause mortality,cardiovascular disease(CVD)mortality and cancer mortality.Results Sixty non-exercise equations were identified.Age,gender,percent body fat,body mass index,weight,height and physical activity status were commonly used in the equations.Several researchers cross-validated non-exercise equations and proved their validity.In addition,non-exercise estimated CRF was significantly associated with all-cause mortality and fatal and nonfatal CVD.Conclusions Measurement of CRF from non-exercise models is practical and viable when exercise testing is not feasible.Despite the limitations of equations,application of CRF from non-exercise methods showed accuracy and predictive ability.展开更多
This retrospective cohort study examined the relationship between self-reported participation in flexibility and muscular strengthening activities and the development of functional limitation(i.e.,once an individual h...This retrospective cohort study examined the relationship between self-reported participation in flexibility and muscular strengthening activities and the development of functional limitation(i.e.,once an individual has difficulty with or becomes unable to perform activities of daily living).Data were obtained from 1318 adults(mean age 49.59.7 years;98.7%Caucasian;14.9%female)enrolled in the Aerobics Center Longitudinal Study from 1979 to 2004 and free of functional limitation at baseline.Mail-back health surveys were used to prospectively determine incident functional limitation.Participation in muscle-strengthening and flexibility activities was assessed via self-report.Adjusted logistic regression analyses were used to determine the odds ratios(OR)and corresponding 95%confidence intervals for developing functional limitation during follow-up based on participation in general and specific categories of flexibility(‘Stretching’,‘Calisthenics’,or‘Exercise Class’)and musclestrengthening activities(‘Calisthenics’,‘Free Weights’,‘Weight Training Machines’,or‘Other’).Overall,42.6%of the sample reported incident functional limitation.After adjusting for potential confounders(e.g.,age,sex,cardiometabolic risk factors),those who reported performing muscle-strengthening activities in general(n=685)were at lower risk of developing functional limitation[OR=0.79(0.63–1.00)].In addition,the specific flexibility activities of stretching(n=491)and calisthenics(n=122)were associated with 24%and 38%decreased odds of incident functional limitation,respectively.General muscle-strengthening,stretching,and calisthenics activities are prospectively associated with decreased risk of incident functional limitation in generally healthy,middleaged and older adults.Thus,both public health and rehabilitation programs should highlight the importance of flexibility and muscle-strengthening activities during adulthood to help preserve functional capacity.展开更多
文摘Background We investigate the association between different muscle strength(MS)indices with cardiometabolic variables in adolescents.Methods Cross-sectional study comprising 351 adolescents(male 44.4%,age 16.6±1.0 years)from Brazil.MS was assessed by handgrip strength and analyzed in live difrerent ways:absolute MS and MS normalized for body weight,body mass index(BMI),height,and fat mass,respectively.Cardiometabolic variables investigated as outcomes were systolic and diastolic blood pressure(DBP),waist circumference(WC),high-sensitive C-reactive protein(hs-CRP),lipid and glucose metabolism markers.Multiple linear regression models adjusted for confounding factors were used.Results Absolute MS and/or MS normalized for height was directly associated with WC[up to 32.8 cm.standard error(SE)=4.7]and DBP(up to 8.8 mmHg,SE=0.8),and inversely associated with high-density lipoprotein cholesterol(up to-8.0 mg/dL.SE=14.1).MS normalized for body weight.BMI or fat inass was inversely associated with WC(up to-17.5 cm,SE=2.2).According tesex,MS normalized for fat mass was inversely associated with triglycerides(male:0.02 times lower,SE=0.01;female:0.05 times lower,SE=0.01)and homeostatic model assessment for insulin resistance(male:0.02 times lower,SE=0.01;female:0.06 times lower.SE=0.01).and inversely associated with hs-CRP only among male(0.03 times lower,SE=0.01).Conclusion When normalized for body weight,BMI or fat mass,MS was superior to absolute MS or MS normalized for height in representing adequately cardiometabolic variables among adolescents.
文摘Purpose To summarize current non-exercise prediction models to estimate cardiorespiratory fitness(CRF),cross-validate these models,and apply them to predict health outcomes.Methods PubMed search was up to August 2018 for eligible publications.The current review was comprised of three steps.The first step was to search the literature on non-exercise prediction models.The key words combined non-exercise,CRF and one among prediction,prediction model,equation,prediction equation and measurement.The second step was to search the literature about cross-validation of non-exercise equations.The key words included non-exercise,CRF and one among validation,cross-validation and validity.The last step was to search for application of CRF assessed from non-exercise equations.The key words were non-exercise,CRF,mortality,all-cause mortality,cardiovascular disease(CVD)mortality and cancer mortality.Results Sixty non-exercise equations were identified.Age,gender,percent body fat,body mass index,weight,height and physical activity status were commonly used in the equations.Several researchers cross-validated non-exercise equations and proved their validity.In addition,non-exercise estimated CRF was significantly associated with all-cause mortality and fatal and nonfatal CVD.Conclusions Measurement of CRF from non-exercise models is practical and viable when exercise testing is not feasible.Despite the limitations of equations,application of CRF from non-exercise methods showed accuracy and predictive ability.
文摘This retrospective cohort study examined the relationship between self-reported participation in flexibility and muscular strengthening activities and the development of functional limitation(i.e.,once an individual has difficulty with or becomes unable to perform activities of daily living).Data were obtained from 1318 adults(mean age 49.59.7 years;98.7%Caucasian;14.9%female)enrolled in the Aerobics Center Longitudinal Study from 1979 to 2004 and free of functional limitation at baseline.Mail-back health surveys were used to prospectively determine incident functional limitation.Participation in muscle-strengthening and flexibility activities was assessed via self-report.Adjusted logistic regression analyses were used to determine the odds ratios(OR)and corresponding 95%confidence intervals for developing functional limitation during follow-up based on participation in general and specific categories of flexibility(‘Stretching’,‘Calisthenics’,or‘Exercise Class’)and musclestrengthening activities(‘Calisthenics’,‘Free Weights’,‘Weight Training Machines’,or‘Other’).Overall,42.6%of the sample reported incident functional limitation.After adjusting for potential confounders(e.g.,age,sex,cardiometabolic risk factors),those who reported performing muscle-strengthening activities in general(n=685)were at lower risk of developing functional limitation[OR=0.79(0.63–1.00)].In addition,the specific flexibility activities of stretching(n=491)and calisthenics(n=122)were associated with 24%and 38%decreased odds of incident functional limitation,respectively.General muscle-strengthening,stretching,and calisthenics activities are prospectively associated with decreased risk of incident functional limitation in generally healthy,middleaged and older adults.Thus,both public health and rehabilitation programs should highlight the importance of flexibility and muscle-strengthening activities during adulthood to help preserve functional capacity.
