2024 Adult Compendium of Physical Activities:A third update of the energy costs of human activities

Background:The Compendium of Physical Activities was published in 1993 to improve the comparability of energy expenditure values assigned to self-reported physical activity(PA)across studies.The original version was updated in 2000,and again in 2011,and has been widely used to support PA research,practice,and public health guidelines.Methods:This 2024 update was tailored for adults 19-59 years of age by removing data from those≥60 years.Using a systematic review and supplementary searches,we identified new activities and their associated measured metabolic equivalent(MET)values(using indirect calorimetry)published since 2011.We replaced estimated METs with measured values when possible.Results:We screened 32,173 abstracts and 1507 full-text papers and extracted 2356 PA energy expenditure values from 701 papers.We added303 new PAs and adjusted 176 existing MET values and descriptions to reflect the addition of new data and removal of METs for older adults.We added a Major Heading(Video Games).The 2024 Adult Compendium includes 1114 PAs(912 with measured and 202 with estimated values)across 22 Major Headings.Conclusion:This comprehensive update and refinement led to the creation of The 2024 Adult Compendium,which has utility across research,public health,education,and healthcare domains,as well as in the development of consumer health technologies.The new website with the complete lists of PAs and supporting resources is available at https://pacompendium.com.

Older Adult Compendium of Physical Activities:Energy costs of human activities in adults aged 60 and older

Purpose:To describe the development of a Compendium for estimating the energy costs of activities in adults>60 years(OA Compendium).Methods:Physical activities(PAs)and their metabolic equivalent of task(MET)values were obtained from a systematic search of studies published in 4 sport and exercise databases(PubMed,Embase,SPORTDiscus(EBSCOhost),and Scopus)and a review of articles included in the 2011 Adult Compendium that measured PA in older adults.MET values were computed as the oxygen cost(VO_(2),mL/kg/min)during PA divided by 2.7 m L/kg/min(MET_(60+))to account for the lower resting metabolic rate in older adults.Results:We identified 68 articles and extracted energy expenditure data on 427 PAs.From these,we derived 99 unique Specific Activity codes with corresponding MET_(60+)values for older adults.We developed a website to present the OA Compendium MET_(60+)values:https://pacompendium.com.Conclusion:The OA Compendium uses data collected from adults>60 years for more accurate estimation of the energy cost of PAs in older adults.It is an accessible resource that will allow researchers,educators,and practitioners to find MET_(60+)values for older adults for use in PA research and practice.

Walking pace and the risk of stroke:A meta-analysis of prospective cohort studies

Purpose:The extent to which walking pace is associated with a reduced risk for stroke remains unclear.This study examined the association between walking pace and stroke risk based on prospective cohort studies.Methods:Databases of PubMed,EMBASE,Web of Science,Scopus,and China National Knowledge Internet were searched from the inception dates to January 31,2019,for prospective cohort studies focusing on walking pace and risk of stroke in adults.Two reviewers independently extracted data and assessed the quality of the studies.The dependent measure was stroke incidence.Using random-effects models,a metaanalysis was performed to estimate the overall relative risks(RR)of stroke incidence and 95%confidence intervals(CIs)for the individuals with the fastest walking paces vs.individuals with the slowest walking paces.A dose-response relationship was also examined.Results:After screening 1294 titles/abstracts and 14 full-text studies identified in the search,7 studies(from 8 cohorts)were included in the metaanalysis.The 7 studies included a total of 135,645 participants(95.2%women;mean age 63.6 years)and 2229 stroke events(median follow-up time=8.0 years).Compared to individuals in the slowest walking-pace category(median=1.6 km/h),individuals in the fastest walking-pace category(median=5.6 km/h)had a 44%lower risk of stroke(pooled RR=0.56,95%CI:0.48-0.65).There was also a linear dose-response relationship(RR=0.87;95%CI:0.83-0.91),with the risk of stroke decreased by 13%for every 1 km/h increment in baseline walking pace.We observed similar results across walking-pace assessment,type of stroke ascertainment,stroke subtypes,sex,sample size,and duration of follow-up.Conclusion:Findings from this meta-analysis indicate that walking pace is inversely associated with the risk of stroke.

Application of network meta-analysis in the field of physical activity and health promotion

Continued advancement in the field of physical activity and health promotion relies heavily on the synthesis of rigorous scientific evidence.As such,systematic reviews and meta-analyses of randomized controlled trials have led to a better understanding of which intervention strategies are superior(i.e.,produce the greatest effects)in physical activity-based health behavior change interventions.Indeed,standard meta-analytic approaches have allowed researchers in the field to synthesize relevant experimental evidence using pairwise procedures that produce reliable estimates of the homogeneity,magnitude,and potential biases in the observed effects.However,pairwise meta-analytic procedures are only capable to discerning differences in effects between a select intervention strategy and a select comparison or control condition.In order to maximize the impact of physical activity interventions on health-related outcomes,it is necessary to establish evidence concerning the comparative efficacy of all relevant physical activity intervention strategies.The development of network meta-analysis(NMA)-most commonly used in medical-based clinical trials-has allowed for the quantification of indirect comparisons,even in the absence of direct,head-to-head trials.Thus,it stands to reason that NMA can be applied in physical activity and health promotion research to identify the best intervention strategies.Given that this analysis technique is novel and largely unexplored in the field of physical activity and health promotion,care must be taken in its application to ensure reliable estimates and discernment of the effect sizes among interventions.Therefore,the purpose of this review is to comment on the potential application and importance of NMA in the field of physical activity and health promotion,describe how to properly and effectively apply this technique,and suggest important considerations for its appropriate application in this field.In this paper,overviews of the foundations of NMA and commonly used approaches for conducting NMA are provided,followed by assumptions related to NMA,opportunities and challenges in NMA,and a step-by-step example of developing and conducting an NMA.

Effects of interrupting prolonged sitting on postprandial glycemia and insulin responses:A network meta-analysis

Purpose:This study aimed to evaluate the effectiveness of physical activity(PA)interrupting prolonged sitting(PS)on postprandial glycemia and insulin responses among adults.Methods:PubMed,EMBASE,Cochrane Library,Web of Science,CINAHL,PsycINFO,and the China National Knowledge Infrastructure databases were searched through September 30,2020.Randomized controlled trials(RCTs)that examined the effect of all forms of PA interrupting PS on postprandial glycemia and/or insulin responses among adults without chronic diseases were included in this study.The risk of bias of included studies was evaluated based on the Cochrane tool.A network meta-analysis was performed to estimate the summary standardized mean differences(SMDs)with 95%confidence intervals(95%CIs)with random effects.Results:Thirty crossover RCTs were included in our review.These RCTs included 9 types of interventions that interrupted PS.When compared to PS by itself,light-intensity PA intermittent interrupting(LPA-INT)PS and moderate-intensity PA intermittent interrupting(MPA-INT)PS significantly lowered postprandial glycemia(SMD=-0.46,95%CI:-0.70 to-0.21;SMD=-0.69,95%CI:-1.00 to-0.37,respectively)and significantly reduced postprandial insulin response(SMD=-0.46,95%CI:-0.66 to-0.26;SMD=-0.47,95%CI:-0.77 to-0.17,respectively).Results of the clustered ranking plot indicated that MPA-INT was the most effective intervention in lowering postprandial glycemia and insulin responses.Conclusion:Replacing PS with MPA-INT or LPA-INT has a positive effect in reducing postprandial glycemia and insulin responses,with MPA-INT being the optimal intervention strategy.