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Giuseppe delli Paoli, Denise van de Laarschot, Edith C.H. Friesema, Remco Verkaik, Antonia Giacco, Rosalba Senese, Pascal P. Arp, P. Mila Jhamai, Stefano M. Pagnotta, Linda Broer, André G. Uitterlinden, Antonia Lanni, M. Carola Zillikens and Pieter de Lange

Fasting enhances the beneficial metabolic outcomes of exercise; however, it is unknown whether body composition is favorably modified on the short term. A baseline–follow-up study was carried out to assess the effect of an established protocol involving short-term combined exercise with fasting on body composition. One hundred seven recreationally exercising males underwent a 10-day intervention across 15 fitness centers in the Netherlands involving a 3-day gradual decrease of food intake, a 3-day period with extremely low caloric intake, and a gradual 4-day increase to initial caloric intake, with daily 30-min submaximal cycling. Using dual-energy X-ray absorptiometry analysis, all subjects substantially lost total body mass (−3.9 ± 1.9 kg; p < .001) and fat mass (−3.3 ± 1.3 kg; p < .001). Average lean mass was lost (−0.6 ± 1.5 kg; p < .001), but lean mass as a percentage of total body mass was not reduced. The authors observed a loss of −3.9 ± 1.9% android fat over total fat mass (p < .001), a loss of −2.2 ± 1.9% gynoid over total fat mass (p < .001), and reduced android/gynoid ratios (−0.05 ± 0.1; p < .001). Analyzing 15 preselected single-nucleotide polymorphisms in 13 metabolism-related genes revealed trending associations for thyroid state–related single-nucleotide polymorphisms rs225014 (deiodinase 2) and rs35767 (insulin-like growth factor1), and rs1053049 (PPARD). In conclusion, a short period of combined fasting and exercise leads to a substantial loss of body and fat mass without a loss of lean mass as a percentage of total mass.

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James A. Betts

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Alanna Weisberg, Alexandre Monte Campelo, Tanzeel Bhaidani and Larry Katz

Traditional physical activity tracking tools, such as self-report questionnaires, are inherently subjective and vulnerable to bias. Physical activity tracking technology, such as activity tracking wristbands, is becoming more reliable and readily available. As such, researchers are employing these objective measurement tools in both observational- and intervention-based studies. There remains a gap in the literature on how to properly select activity tracking wristbands for research, specifically for the older adult population. This paper outlines considerations for choosing the most appropriate wrist-worn wearable device for use in research with older adults. Device features, outcome measures, population, and methodological considerations are explored.

Open access

Kimberly Bigelow and Michael L. Madigan

Open access

Nicole K. Nathan, Rachel L. Sutherland, Kirsty Hope, Nicole J. McCarthy, Matthew Pettett, Ben Elton, Rebecca Jackson, Stewart G. Trost, Christophe Lecathelinais, Kathryn Reilly, John H. Wiggers, Alix Hall, Karen Gillham, Vanessa Herrmann and Luke Wolfenden

Aim: To assess the impact of a multistrategy intervention designed to improve teachers’ implementation of a school physical activity (PA) policy on student PA levels. Methods: A cluster-randomized controlled trial was conducted in 12 elementary schools. Policy implementation required schools to deliver 150 minutes of organized PA for students each week via physical education, sport, or class-based activities such as energizers. Schools received implementation support designed using the theoretical domains framework to help them implement the current policy. Results: A total of 1,502 children in kindergarten to grade 6 participated. At follow-up compared with control, students attending intervention schools had, measured via accelerometer, significantly greater increases in school day counts per minute (97.5; 95% confidence interval [CI], 64.5 to 130.4; P < .001) and moderate to vigorous physical activity (MVPA) (3.0; 95% CI, 2.2–3.8, P < .001) and a greater decrease in sedentary time (−2.1; 95% CI, −3.9 to −0.4, P = .02) per school day. Teachers in intervention schools delivered significantly more minutes (36.6 min) of PA to their students at follow-up (95% CI, 2.7–70.5, P = .04). Conclusions: Supporting teachers to implement a PA policy improves student PA. Additional strategies may be needed to support teachers to implement activities that result in larger gains in student MVPA.

Open access

Nicholas A. Koemel, Christina M. Sciarrillo, Katherine B. Bode, Madison D. Dixon, Edralin A. Lucas, Nathaniel D.M. Jenkins and Sam R. Emerson

The consumption of a high-fat meal can induce postprandial lipemia and endothelial dysfunction. The authors assessed the impact of age and physical activity on metabolic and vascular outcomes following meal consumption in healthy adults. The authors recruited four groups: younger active (age 22.1 ± 1.4 years; n = 9), younger inactive (age 22.6 ± 3.7 years; n = 8), older active (age 68.4 ± 7.7 years; n = 8), and older inactive (age 67.7 ± 7.2 years; n = 7). The metabolic outcomes were measured at the baseline and hourly for 6 hr post high-fat meal consumption (12 kcal/kg; 63% fat). Flow-mediated dilation was measured at the baseline, 2 hr, and 4 hr postmeal. The total area under the curve for triglycerides was significantly lower in the more active groups, but did not differ based on age (younger active = 6.5 ± 1.4 mmol/L × 6 hr, younger inactive = 11.7 ± 4.8, older active = 6.8 ± 2.7, older inactive = 12.1 ± 1.7; p = .0004). After adjusting for artery diameter, flow-mediated dilation differed between groups at the baseline (younger active = 4.8 ± 1.6%, younger inactive = 2.5 ± 0.5, older active = 3.4 ± 0.9, older inactive = 2.2 ± 0.4; p < .001) and decreased significantly across groups 4 hr postmeal (mean difference = 0.82; 95% CI [0.02, 1.6]; p = .04). These findings highlight the beneficial effect of regular physical activity on postprandial lipemia, independent of age.

Open access

Abby Haynes, Catherine Sherrington, Geraldine Wallbank, David Lester, Allison Tong, Dafna Merom, Chris Rissel and Anne Tiedemann

The Coaching for Healthy Ageing trial evaluated the impact on physical activity (PA) and falls based on a year-long intervention in which participants aged 60+ receive a home visit, regular health coaching by physiotherapists, and a free activity monitor. This interview study describes the participants’ experiences of the intervention and ideas for improvement. The authors sampled purposively for maximum variation in experiences. The data were analyzed thematically by two researchers. Most of the 32 participants reported that the intervention increased PA levels, embedded activities, and generated positivity about PA. They were motivated by quantified PA feedback, self-directed goals, and person-centered coaching. Social connectivity motivated some, but the intervention did not support this well. The intervention structure allowed participants to trial and embed activities. Autonomy and relatedness were emphasized and should be included in future program theory. The authors identified synergistic effects, likely “essential ingredients,” and potential areas for improving this and similar interventions.

Open access

Nicole McCarthy, Kirsty Hope, Rachel Sutherland, Elizabeth Campbell, Rebecca Hodder, Luke Wolfenden and Nicole Nathan

Background: To determine Australian primary school principals’, teachers’, and parents’ attitudes to changing school uniform policies to allow students to wear sports uniforms every day and to assess associations between participant characteristics and their attitudes. A secondary aim was to identify principals’ and teachers’ perceived barriers to uniform changes. Methods: Cross-sectional surveys of principals, teachers, and parents of children in grades 2 to 3 (age 7–10 y) from 62 Australian primary schools (Oct 2017–Mar 2018) were undertaken. Mixed logistic regression analyses assessed the associations between participant characteristics and attitudes toward uniform changes. Results: In total, 73% of the principals (38/52) who responded reported that their school only allowed children to wear a sports uniform on sports days. Overall, 38% of the principals (18/47), 63% of the teachers (334/579), and 78% of the parents (965/1231) reported they would support a policy that allowed children to wear daily sports uniforms. The most commonly reported barrier was the perception that sports uniforms were not appropriate for formal occasions. Conclusions: Although the majority of the principals were not supportive of a change to a daily sports uniform, the majority of the teachers and parents were. Strategies to improve principal support may be required if broader adoption of physical activity–supporting uniforms is to be achieved.

Open access

Soultana Macridis, Christine Cameron, Jean-Philippe Chaput, Tala Chulak-Bozzer, Patricia Clark, Margie H. Davenport, Guy Faulkner, Jonathon Fowles, Lucie Lévesque, Michelle M. Porter, Ryan E. Rhodes, Robert Ross, Elaine Shelton, John C. Spence, Leigh M. Vanderloo and Nora Johnston

Background: The ParticipACTION Report Card on Physical Activity for Adults is a knowledge exchange tool representing a synthesis of the literature and data available at the national level. The purpose of this paper is to summarize the results of the inaugural 2019 edition. Methods: Thirteen physical activity indicators, grouped into 4 categories, were graded by a committee of experts using a process that was informed by the best available evidence. Sources included national surveys, peer-reviewed literature, and gray literature such as government and nongovernment reports and online content. Results: Grades were assigned to Daily Behaviors (overall physical activity: D; daily movement: C; moderate to vigorous physical activity: F; muscle and bone strength: INC; balance: INC; sedentary behavior: INC; sleep: B−), Individual Characteristics (intentions: B+), Settings and Sources of Influence (social support: INC; workplace: INC; community and environment: B−; health and primary care settings: C−), and Strategies and Investments (government: B−). Conclusions: Generally, lower grades were given to behavior-related indicators (eg, overall physical activity) and better grades for indicators related to investments, community supports, and strategies and policies. Research gaps and future recommendations and directions are identified for each indicator to support future practice, policy, and research directions.