Background: Sport New Zealand conducts continuous representative “Active NZ” surveys. Between 2019 and 2020 (n = 13,887), these surveys asked International Physical Activity Questionnaire (IPAQ)—long-form questions, the single-item days (SI-days) per week question, and 1 question on hours per week (single-item hours [SI-hours] per week). This study examines relationships between the established SI-days question and meeting physical activity (PA) guidelines (150 min moderate-to-vigorous physical activity per week from SI-hours question and IPAQ). Methods: Analyses were descriptive, and the best fit between SI-days and the PA thresholds was estimated using area under the receiver operator characteristic curves and Youden index. Results: Using SI-hours, 60.6% achieved 150+ minutes; 85.2% reported the IPAQ-total minimum threshold, and 40.8% met the IPAQ-leisure time PA-only threshold. Receiver operator characteristic analyses showed area under the curve values with IPAQ between 0.63 and 0.76, but the SI-days showed a very good area under the curve of 0.82 (0.81–0.83) with the SI-hours 150-minute threshold. Youden index suggested the best fit was at 3+ days per week for maximizing Sensitivity and Specificity to meet IPAQ or SI-hours-defined PA guidelines. Discussion: The SI-days per week question reflects achieving PA guidelines, and the best fit was with the SI-hours per week question. This provides surveillance-relevant concurrent validity for the SI-days measure, but the cut point for broadly meeting guidelines appears to be at least 3 days per week, not 5 days per week as previously thought.
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Understanding of the Single-Item Physical Activity Question for Population Surveillance
Adrian E. Bauman and Justin A. Richards
Socioeconomic Differences in Physical Activity and Sedentary Behavior During the Retirement Transition: A Systematic Review of Longitudinal Studies
Nina Vansweevelt, Filip Boen, Jannique van Uffelen, and Jan Seghers
Background: The retirement transition constitutes both a risk and an opportunity for changes in physical activity (PA) and sedentary behavior (SB). The present systematic review aims to summarize the current evidence regarding the differences between socioeconomic status (SES) groups in changes in PA and SB across the retirement transition. Methods: The authors searched 5 databases. Inclusion criteria were: investigating statutory retirement, measuring PA and/or SB at least once before and once after retirement, and reporting information on SES differences. Results are reported by means of a narrative synthesis, combined with harvest plots based on direction of effect. Results: We included 24 papers from 19 studies. Sixteen papers focused on PA, 3 on SB, and 5 investigated both. For total PA, occupational PA, and total sedentary time, nearly all publications reported more favorable changes for high SES groups. For recreational PA, active transport, and screen time, there seemed to be a tendency toward more favorable changes for high SES groups. Changes in household/caregiving PA did not appear to differ between SES groups. Conclusions: Changes in movement behavior during the retirement transition are potentially more favorable for high SES adults. Nonetheless, the differences between SES groups seem to depend on the domain of movement behavior.
Moving Together to Advance Physical Activity Research in Low- and Middle-Income Countries: The Case of Latin America
Deborah Salvo, Andrea Ramírez Varela, and Alejandra Jáuregui
Erratum. Activity Behaviors in British 6-Year-Olds: Cross-Sectional Associations and Longitudinal Change During the School Transition
Erratum. Physical Behaviors and Their Association With Adiposity in Men and Women From a Low-Resourced African Setting
Time Trends of Step-Determined Physical Activity Among Adolescents With Different Activity Levels in Czech Republic
Karel Frömel, Josef Mitáš, and Catrine Tudor-Locke
Background: This study aimed to present step-determined physical activity trends in adolescents with different activity levels over a period of 10 years. Methods: Pedometers were used to monitor weekly physical activity in 1855 boys and 2648 girls aged 15–19 years recruited from 155 schools in the Czech Republic between 2009 and 2018. Trends for average steps/day and percent of accumulating various levels of steps/day (<10,000, 10,000–13,000, and >13,000 steps/d) were analyzed by sex. Results: There was a statistically significant decrease in average steps/day between 2009–2010 and 2017–2018 in boys from 12,355 (3936) steps/d to 10,054 (3730) steps/d and girls from 11,501 (3278) steps/d to 10,216 (3288) steps/d. The percent accumulating <10,000 steps/d increased by 21% in boys and 12% in girls. The percent achieving >13,000 steps/d decreased by 17% in boys and 10% in girls. Conclusions: Objectively collected evidence indicates an overall decrease in Czech adolescents’ steps/day over a 10-year period concurrent with an increase in the percent of boys and girls accumulating <10,000 steps/d. These trends are concerning as they portend a decline in physical activity as adolescents transition to adulthood and continue to age, which also may have major health implications.
Erratum. Energy Costs of Household and Eldercare Activities in Young to Middle-Aged Chinese Adults
Changes in Canadian Adolescent Time Use and Movement Guidelines During the Early COVID-19 Outbreak: A Longitudinal Prospective Natural Experiment Design
Markus Joseph Duncan, Negin Alivia Riazi, Guy Faulkner, Jenna Diane Gilchrist, Scott Thomas Leatherdale, and Karen Allison Patte
Background: Comprehensive, prospective, longitudinal data are lacking on the effects of the COVID-19 outbreak on adolescents’ movement behaviors (moderate to vigorous physical activity [MVPA], sleep, recreational screen use, and strengthening exercises). The purpose was to compare movement behavior changes among adolescents affected by the pandemic with controls. Methods: Survey data from 10,659 students at 82 Canadian secondary schools (aged 12–19 y) during the 2018–2019 and 2019–2020 school years were analyzed. One-year change in time spent in movement behaviors and likelihood of meeting Canadian 24-hour movement guidelines was compared between preoutbreak controls (October 2019–March 2020) and early outbreak respondents (May–July 2020) after controlling for sociodemographic factors. Results: Compared with controls, the early outbreak group reported a greater decrease in time spent in MVPA and greater increases in time spent in sleep and recreational screen use. The early outbreak group was less likely to meet MVPA and recreational screen time guidelines but more likely to meet guidelines for strengthening exercises and sleep duration. Conclusions: Findings for MVPA and screen time changes were in the same direction as retrospective reports from children and youth samples. Sleep adherence may have improved due to no longer having to commute to school. Strengthening exercises may represent physical activity that is easier to do in the home with minimal equipment leading to improved adherence during restrictions.
Calling out for Change Makers to Move Beyond Disciplinary Perspectives
Katja Siefken
Activity Behaviors in British 6-Year-Olds: Cross-Sectional Associations and Longitudinal Change During the School Transition
Kathryn R. Hesketh, Soren Brage, Hazel M. Inskip, Sarah R. Crozier, Keith M. Godfrey, Nicholas C. Harvey, Cyrus Cooper, and Esther M.F. Van Sluijs
Background: To explore activity behaviors at school entry, we describe temporal/demographic associations with accelerometer-measured physical activity in a population-based sample of British 6-year-olds, and examine change from ages 4 to 6. Methods: A total of 712 six-year-olds (308 at both ages) wore Actiheart accelerometers for ≥3 (mean 6.0) days. We derived minutes per day sedentary (<20 cpm) and moderate to vigorous physical activity (MVPA, ≥460 cpm), also segmented across mornings (06:00 AM to 09:00 AM), school (09:00 AM to 3:00 PM), and evenings (3:00 PM to 11:00 PM). Using mixed effects linear regression, we analyzed associations between temporal/demographic factors and children’s activity intensities at age 6, and change between ages 4 and 6. Results: Six-year-old children engaged in MVPA (mean [SD]): 64.9 (25.7) minutes per day (53% met UK guidelines). Girls did less MVPA than boys, particularly during school hours. Children were less active on weekends (vs weekdays) and more active on spring/summer evenings (vs winter). Longitudinally, 6-year-old children did less light physical activity (−43.0; 95% confidence interval, −47.5 to −38.4 min/d) but were more sedentary (29.4; 24.6 to 34.2), and engaged in greater MVPA (7.1; 5.2 to 9.1) compared to when they were aged 4. Conclusion: Half of 6-year-old children met current activity guidelines; MVPA levels were lower in girls and at weekends. UK children became more sedentary but did more MVPA as they entered formal schooling. Physical activity promotion efforts should capitalize on these changes in MVPA, to maintain positive habits.