Moral identity and moral disengagement have been linked with doping likelihood. However, experiments testing the temporal direction of these relationships are absent. The authors conducted one cross-sectional and two experimental studies investigating the conjunctive effects of moral identity and moral disengagement on doping likelihood (or intention). Dispositional moral identity was inversely (marginally), and doping moral disengagement, positively, associated with doping intention (Study 1). Manipulating situations to amplify opportunities for moral disengagement increased doping likelihood via anticipated guilt (Study 2). Moreover, dispositional moral identity (Study 2) and inducing moral identity (Study 3) were linked with lower doping likelihood and attenuated the relationship between doping moral disengagement and doping likelihood. However, the suppressing effect of moral identity on doping likelihood was overridden when opportunities for moral disengagement were amplified. These findings support multifaceted antidoping efforts, which include simultaneously enhancing athlete moral identity and personal responsibility alongside reducing social opportunities for moral disengagement.
Nicholas Stanger and Susan H. Backhouse
Alison Griffin, Tim Roselli, and Susan L. Clemens
Background: Health benefits of physical activity (PA) accrue with small increases in PA, with the greatest benefits for those transitioning from inactivity to any level of PA. This study examined whether self-reported PA time in Queensland adults changed between 2004 and 2018. Methods: The Queensland government conducts regular cross-sectional telephone surveys. Between 2004 and 2018, adults aged 18–75 years answered identical questions about their weekly minutes of walking, moderate PA, and vigorous PA. Hurdle regression estimated the average annual change in weekly minutes of PA overall and by activity type, focusing on sociodemographic differences in trends. Results: The sample size averaged 1764 (2004–2008) and 10,188 (2009–2018), totaling 107,171 participants aged 18–75 years. Unadjusted PA increased by 10 minutes per week per year (95% confidence interval [CI], 8.8–11.1) overall, with increases for most subgroups. Adjusted PA increased by 10.5 minutes per week per year (95% CI, 9.4–11.7). Trends differed by employment—employed adults and those not in the labor force increased by 14.3 (95% CI, 12.8–15.8) and 2.2 minutes per week per year (95% CI, 0.4–4.0), respectively, with no increase for unemployed adults. The increases were due to both an increased prevalence of doing any activity and an increased average duration among active adults. Conclusions: Since 2004, PA time has increased for Queensland adults, with substantial variability by employment status.
Jillian J. Haszard, Kim Meredith-Jones, Victoria Farmer, Sheila Williams, Barbara Galland, and Rachael Taylor
Although 24-hour time-use data are increasingly being examined in relation to indices of health, consensus has yet to be reached about the best way to present estimates from compositional analyses. This analysis explored the impact of different presentations of results when assessing the relationship between 24-hour time-use and body mass index (BMI) z-score using compositional analysis of 5-day actigraphy data in 742 children. First it was found that reallocating non-wear time to day-time components only (sedentary behavior, light physical activity, and moderate-to-vigorous physical activity [MVPA]) before normalization to 24 hours provided stronger estimates with BMI z-score than simply removing non-wear time before normalization. Estimates for sleep time were substantially affected, where associations with BMI z-score nearly doubled (mean difference [95% CI] in BMI z-score for 10% longer sleep were −0.20 [−0.32, −0.08] compared to −0.11 [−0.23, 0.002]). Presenting estimates in terms of a greater number of minutes in a component, relative to all others, showed MVPA to be the strongest predictor of BMI z-score, while estimates in terms of the proportion of minutes showed sleep to be the strongest predictor. Both presentations have value. However, presentations in terms of one-to-one “substitutions” of time may need careful interpretation due to the uneven distribution of time in each component. In conclusion, when analyzing relationships between 24-hour time-use and health outcomes, non-wear time and presentation of estimates can impact final conclusions. As a result, the current understanding of the importance of sleep for child health may be underestimated.
Stephanie Field, Jeff Crane, Patti-Jean Naylor, and Viviene Temple
Children who underestimate their physical abilities have lower motivation, higher anxiety, and lack of understanding as to why they may be succeeding or struggling in sports settings, which can result in withdrawal from physical activities. Theoretically, middle childhood is a time when perceptions of physical competence (PPC) become more accurate as children develop the cognitive capacity to interpret new sources of feedback and develop a realistic sense of their physical abilities. The purpose of this study was to investigate the extent to which accuracy of PPC changed from grade 2 to grade 4. Participants were 238 boys and girls (M age = 7.8 yrs) from eight participating elementary schools in Victoria, British Columbia, Canada. The Test of Gross Motor Development–Second Edition was used to assess motor skills. PPC were assessed using the Pictorial Scale of Perceived Competence and Social Acceptance for Young Children (for grade 2) and the Self-Perception Profile for Children (for grades 3 and 4). Results revealed that participants who underestimated or overestimated their physical competence in grade 2 saw an improvement in accuracy, and, by grade 4, had similar accuracy scores to their peers who were considered ‘accurate’ estimators. These results reinforce theory that suggests PPC become more accurate in middle childhood.
Keith R. Lohse
Ignacio Perez-Pozuelo, Thomas White, Kate Westgate, Katrien Wijndaele, Nicholas J. Wareham, and Soren Brage
Background: Wrist-worn accelerometry is the commonest objective method for measuring physical activity in large-scale epidemiological studies. Research-grade devices capture raw triaxial acceleration which, in addition to quantifying movement, facilitates assessment of orientation relative to gravity. No population-based study has yet described the interrelationship and variation of these features by time and personal characteristics. Methods: 2,043 United Kingdom adults (35–65 years) wore an accelerometer on the non-dominant wrist and a chest-mounted combined heart-rate-and-movement sensor for 7 days free-living. From raw (60 Hz) wrist acceleration, we derived movement (non-gravity acceleration) and pitch and roll (forearm) angles relative to gravity. We inferred physical activity energy expenditure (PAEE) from combined sensing and sedentary time from approximate horizontal arm angle coupled with low movement. Results: Movement differences by time-of-day and day-of-week were associated with forearm angles; more movement in downward forearm positions. Mean (SD) movement was similar between sexes ∼31 (42) mg, despite higher PAEE in men. Women spent longer with the forearm pitched >0°, above horizontal (53% vs 36%), and less time at <0° (37% vs 53%). Diurnal pitch was 2.5–5° above and 0–7.5°below horizontal during night and daytime, respectively; corresponding roll angles were ∼0° (hand flat) and ∼20° (thumb-up). Differences were more pronounced in younger participants. All diurnal profiles indicated later wake-times on weekends. Daytime pitch was closer to horizontal on weekdays; roll was similar. Sedentary time was higher (17 vs 15 hours/day) in obese vs normal-weight individuals. Conclusions: More movement occurred in forearm positions below horizontal, commensurate with activities including walking. Findings suggest time-specific population differences in behaviors by age, sex, and BMI.
Matthew Pearce, Tom R.P. Bishop, Stephen Sharp, Kate Westgate, Michelle Venables, Nicholas J. Wareham, and Søren Brage
Harmonization of data for pooled analysis relies on the principle of inferential equivalence between variables from different sources. Ideally, this is achieved using models of the direct relationship with gold standard criterion measures, but the necessary validation study data are often unavailable. This study examines an alternative method of network harmonization using indirect models. Starting methods were self-report or accelerometry, from which we derived indirect models of relationships with doubly labelled water (DLW)-based physical activity energy expenditure (PAEE) using sets of two bridge equations via one of three intermediate measures. Coefficients and performance of indirect models were compared to corresponding direct models (linear regression of DLW-based PAEE on starting methods). Indirect model beta coefficients were attenuated compared to direct model betas (10%–63%), narrowing the range of PAEE values; attenuation was greater when bridge equations were weak. Directly and indirectly harmonized models had similar error variance but most indirectly derived values were biased at group-level. Correlations with DLW-based PAEE were identical after harmonization using continuous linear but not categorical models. Wrist acceleration harmonized to DLW-based PAEE via combined accelerometry and heart rate sensing had the lowest error variance (24.5%) and non-significant mean bias 0.9 (95%CI: −1.6; 3.4) kJ·day−1·kg−1. Associations between PAEE and BMI were similar for directly and indirectly harmonized values, but most fell outside the confidence interval of the criterion PAEE-to-BMI association. Indirect models can be used for harmonization. Performance depends on the measurement properties of original data, variance explained by available bridge equations, and similarity of population characteristics.
Melanna F. Cox, Greg J. Petrucci Jr., Robert T. Marcotte, Brittany R. Masteller, John Staudenmayer, Patty S. Freedson, and John R. Sirard
Purpose: Develop a direct observation (DO) system to serve as a criterion measure for the calibration of models applied to free-living (FL) accelerometer data. Methods: Ten participants (19.4 ± 0.8 years) were video-recorded during four, one-hour FL sessions in different settings: 1) school, 2) home, 3) community, and 4) physical activity. For each setting, 10-minute clips from three randomly selected sessions were extracted and coded by one expert coder and up to 20 trained coders using the Observer XT software (Noldus, Wageningen, the Netherlands). The coder defines each whole-body movement which was further described with three modifiers: 1) locomotion, 2) activity type, and 3) MET value (used to categorize intensity level). Percent agreement was calculated for intra- and inter-rater reliability. For intra-rater reliability, the criterion coder coded all 12 clips twice, separated by at least one week between coding sessions. For inter-rater reliability, coded clips by trained coders were compared to the expert coder. Intraclass correlations (ICCs) were calculated to assess the agreement of intensity category for intra- and inter-rater comparisons described above. Results: For intra-rater reliability, mean percent agreement ranged from 91.9 ± 3.9% to 100.0 ± 0.0% across all variables in all settings. For inter-rater reliability, mean percent agreement ranged from 88.2 ± 3.5% to 100.0 ± 0.0% across all variables in all settings. ICCs for intensity category ranged from 0.74–1.00 and 0.81–1.00 for intra- and inter-rater comparisons, respectively. Conclusion: The DO system is reliable and feasible to serve as a criterion measure of FL physical activity in young adults to calibrate accelerometers, subsequently improving interpretation of surveillance and intervention research.
Katrina L. Piercy, Frances Bevington, Alison Vaux-Bjerke, Sandra Williams Hilfiker, Sean Arayasirikul, and Elizabeth Y. Barnett
Background: The Office of Disease Prevention and Health Promotion completed research to understand factors that could encourage Americans to follow the Physical Activity Guidelines for Americans, second edition, released in 2018. This study describes survey research assessing demographic characteristics that might be related to knowledge and awareness of the guidelines. Methods: An online survey of 2050 adult physical activity contemplators assessed knowledge of physical activity, awareness of the guidelines, and knowledge of dosage recommendations. Univariate and bivariate analyses were performed, and demographic differences in knowledge and awareness were analyzed using Pearson chi-square tests and Fisher exact tests. Results: Respondents had medium to high knowledge of physical activity, although knowledge varied significantly by socioeconomic factors. Knowledge of dosage recommendations was very low, with 2% and 3% of respondents correctly identifying recommended moderate- and vigorous-intensity doses, respectively. Only 22% were aware of the guidelines; awareness was greater among those with a higher education or income and those without a disability. Conclusions: These findings guided the development of the Office of Disease Prevention and Health Promotion’s Move Your Way campaign and reinforced the need to raise awareness of the guidelines and promote behavior change among physical activity contemplators—particularly those from lower socioeconomic groups.
Frances Bevington, Katrina L. Piercy, Kate Olscamp, Sandra W. Hilfiker, Dena G. Fisher, and Elizabeth Y. Barnett
Background: The Move Your Way campaign, developed by the Office of Disease Prevention and Health Promotion, aims to improve Americans’ adherence to the Physical Activity Guidelines for Americans. This article describes the research that informed the campaign’s products, messaging, and strategy. Methods: A mixed-methods approach was used to understand participants’ preferences for physical activity messages and information seeking. Two rounds (round 1 [n = 95] and round 2 [n = 73]) of focus groups and an online survey (n = 2050) were conducted with adult physical activity contemplators. A third round (n = 84) of focus groups was conducted with children, teens, and parents of young children. Results: Adults, parents, teens, and children preferred messages that reflected diverse examples of activities; most participants disliked “one-size-fits-all” recommendations. Adults and parents preferred messages that emphasized specific health benefits over generic messages about overall health. Although some participants preferred getting physical activity information from digital search tools and social media platforms, many preferred getting this information from family members and friends. Conclusion: The Office of Disease Prevention and Health Promotion translated these findings into 3 themes used for Move Your Way implementation: (1) leverage social and community connections, (2) emphasize representation through inclusion and diversity, and (3) customize physical activity recommendations to make them more achievable.