Tracy L. Washington

Expected Values for Pedometer-Determined Physical Activity in Youth

This review assembles pedometry literature focused on youth, with particular attention to expected values for habitual, school day, physical education class, recess, lunch break, out-of-school, weekend, and vacation activity. From 31 studies published since 1999, we constructed a youth habitual activity step-curve that indicates: (a) from ages 6 to 18 years, boys typically take more steps per day than girls; (b) for both sexes the youngest age groups appear to take fewer steps per day than those immediately older; and (c) from a young age, boys decline more in steps per day to become more consistent with girls at older ages. Additional studies revealed that boys take approximately 42–49% of daily steps during the school day; girls take 41–47%. Steps taken during physical education class contribute to total steps per day by 8.7–23.7% in boys and 11.4–17.2% in girls. Recess represents 8–11% and lunch break represents 15–16% of total steps per day. After-school activity contributes approximately 47–56% of total steps per day for boys and 47–59% for girls. Weekdays range from approximately 12,000 to 16,000 steps per day in boys and 10,000 to 14,000 steps per day in girls. The corresponding values for weekend days are 12,000–13,000 steps per day in boys and 10,000–12,000 steps per day in girls.

Expected values for steps/day in special populations

OBJECTIVE To assemble expected values for free-living steps/day in special populations living with chronic illnesses and disabilities. METHOD Studies identified since 2000 were categorized into similar illnesses and disabilities, capturing the original reference, sample descriptions, descriptions of instruments used (i.e., pedometers, piezoelectric pedometers, accelerometers), number of days worn, and mean and standard deviation of steps/day. RESULTS Sixty unique studies represented: 1) heart and vascular diseases, 2) chronic obstructive lung disease, 3) diabetes and dialysis, 4) breast cancer, 5) neuromuscular diseases, 6) arthritis, joint replacement, and fibromyalgia, 7) disability (including mental retardation/intellectual difficulties), and 8) other special populations. A median steps/day was calculated for each category. Waist-mounted and ankle-mounted instruments were considered separately due to fundamental differences in assessment properties. For waist-mounted instruments, the lowest median values for steps/day are found in disabled older adults (1214 steps/day) followed by people living with COPD (2237 steps/day). The highest values were seen in individuals with Type 1 diabetes (8008 steps/day), mental retardation/intellectual disability (7787 steps/day), and HIV (7545 steps/day). CONCLUSION This review will be useful to researchers/practitioners who work with individuals living with chronic illness and disability and require such information for surveillance, screening, intervention, and program evaluation purposes.

Pedometry Methods for Assessing Free-Living Youth

The purpose of this review is to integrate and summarize specific measurement topics (instrument and metric choice, validity, reliability, how many and what types of days, reactivity, and data treatment) appropriate to the study of youth physical activity. Research quality pedometers are necessary to aid interpretation of steps per day collected in a range of young populations under a variety of circumstances. Steps per day is the most appropriate metric choice, but steps per minute can be used to interpret time-in-intensity in specifically delimited time periods (e.g., physical education class). Reported intraclass correlations (ICC) have ranged from .65 over 2 days (although higher values also have been reported for 2 days) to .87 over 8 days (although higher values have been reported for fewer days). Reported ICCs are lower on weekend days (.59) versus weekdays (.75) and lower over vacation days (.69) versus school days (.74). There is no objective evidence of reactivity at this time. Data treatment includes (a) identifying and addressing missing values, (b) identifying outliers and reducing data appropriately if necessary, and (c) transforming the data as required in preparation for inferential analysis. As more pedometry studies in young populations are published, these preliminary methodological recommendations should be modified and refined.

Practical physical activity measurement in youth: a review of contemporary approaches.

BackgroundThe accurate evaluation of physical activity levels amongst youth is critical for quantifying physical activity behaviors and evaluating the effect of physical activity interventions. The purpose of this review is to evaluate contemporary approaches to physical activity evaluation amongst youth.Data sourcesThe literature from a range of sources was reviewed and synthesized to provide an overview of contemporary approaches for measuring youth physical activity.ResultsFive broad categories are described: selfreport, instrumental movement detection, biological approaches, direct observation, and combined methods. Emerging technologies and priorities for future research are also identified.ConclusionsThere will always be a trade-off between accuracy and available resources when choosing the best approach for measuring physical activity amongst youth. Unfortunately, cost and logistical challenges may prohibit the use of “gold standard” physical activity measurement approaches such as doubly labelled water. Other objective methods such as heart rate monitoring, accelerometry, pedometry, indirect calorimetry, or a combination of measures have the potential to better capture the duration and intensity of physical activity, while self-reported measures are useful for capturing the type and context of activity.

The association between motivation in school physical education and self-reported physical activity during Finnish junior high school A self-determination theory approach

The main purpose of this longitudinal study was to investigate the role of motivational climates, perceived competence and motivational regulations as antecedents of self-reported physical activity during junior high school years. The participants included 237 Finnish students (101 girls, 136 boys) that were 13 years old at the first stage of the study. Students completed the motivational climate and perceived competence questionnaires at Grade 7, motivation towards physical education questionnaire at Grade 8, and self-reported physical activity questionnaire at Grade 9. A path analysis revealed a path from task-involving motivational climate via perceived competence and intrinsic motivation to self-reported physical activity. Perceived competence and intrinsic motivation were statistically significant mediators between task-involving motivational climate and self-reported physical activity. This finding supports the four-stage causal sequence model of motivation.

Walk@Work: an automated intervention to increase walking in university employees not achieving 10,000 daily steps

OBJECTIVE This study assessed the workday step counts of lower active (<10,000 daily steps) university employees using an automated, web-based walking intervention (Walk@Work). METHODS Academic and administrative staff (n=390; 45.6±10.8years; BMI 27.2±5.5kg/m(2); 290 women) at five campuses (Australia [x2], Canada, Northern Ireland and the United States), were given a pedometer, access to the website program (2010-11) and tasked with increasing workday walking by 1000 daily steps above baseline, every two weeks, over a six week period. Step count changes at four weeks post intervention were evaluated relative to campus and baseline walking. RESULTS Across the sample, step counts significantly increased from baseline to post-intervention (1477 daily steps; p=0.001). Variations in increases were evident between campuses (largest difference of 870 daily steps; p=0.04) and for baseline activity status. Those least active at baseline (<5000 daily steps; n=125) increased step counts the most (1837 daily steps; p=0.001), whereas those most active (7500-9999 daily steps; n=79) increased the least (929 daily steps; p=0.001). CONCLUSIONS Walk@Work increased workday walking by 25% in this sample overall. Increases occurred through an automated program, at campuses in different countries, and were most evident for those most in need of intervention.

Development and Validation of a New Self-Report Instrument for Measuring Sedentary Behaviors and Light-Intensity Physical Activity in Adults

BACKGROUND Low levels of physical activity and high levels of sedentary behavior (SB) are major public health concerns. This study was designed to develop and validate the 7-day Sedentary (S) and Light Intensity Physical Activity (LIPA) Log (7-day SLIPA Log), a self-report measure of specific daily behaviors. METHOD To develop the log, 62 specific SB and LIPA behaviors were chosen from the Compendium of Physical Activities. Face-to-face interviews were conducted with 32 sedentary volunteers to identify domains and behaviors of SB and LIPA. To validate the log, a further 22 sedentary adults were recruited to wear the GT3x for 7 consecutive days and nights. RESULTS Pearson correlations (r) between the 7-day SLIPA Log and GT3x were significant for sedentary (r = .86, P < .001), for LIPA (r = .80, P < .001). Lying and sitting postures were positively correlated with GT3x output (r = .60 and r = .64, P < .001, respectively). No significant correlation was found for standing posture (r = .14, P = .53).The kappa values between the 7-day SLIPA Log and GT3x variables ranged from 0.09 to 0.61, indicating poor to good agreement. CONCLUSION The 7-day SLIPA Log is a valid self-report measure of SB and LIPA in specific behavioral domains.

Correction: Expected values for pedometer-determined physical activity in older populations.

Correction to Tudor-Locke C, Hart TL, Washington TL: Expected values for pedometer-determined physical activity in older populations. International Journal of Behavioral Nutrition and Physical Activity 2009, 6:59

Wellness programs at firefighter and police workplaces : a systematic review

Objectives This systematic review summarizes the literature on the health effects of wellness programs at police and firefighter workplaces. The review also considers process outcomes and economic evaluations of such programs. Methods A systematic search of articles published from January 1, 2000 through September 1, 2012 in 13 databases was conducted. Data on 7 studies from 9 articles were extracted. An assessment of the methodological quality of the studies was conducted. Results Studies showed acceptable completion rates and high satisfaction with programs, but mixed results for changes in individual outcomes. Conclusion Empirical evidence for effective health and wellness programs in police and firefighter populations is scarce. Better evaluation and documentation of such programs is needed to advance this field of research.

Adolescent's perceptions of parental influences on physical activity.

Abstract Background: Youth physical activity engagement is a key component of contemporary health promotion strategies. Parents have potential to influence the physical activity behaviours of their children. The purpose of this study was to explore associations between adolescent self-reported physical activity, parent physical activity and perceptions of parental influence as measured by the Children’s Physical Activity Correlates (CPAC) questionnaire. Methods: This investigation included a total of 146 adolescents and their parents. Self-reported measures of physical activity were obtained using the International Physical Activity Questionnaire for Adolescents and International Physical Activity Questionnaire for adolescents and their parents respectively. Adolescent perceptions of parental role modelling, support, and encouragement were measured with the parental influences scales of the CPAC. Results: Ordinary least squares regression indicated that perceptions of parental role modelling (β=197.41, 95% CI 34.33–360.49, p=0.031) was positively associated with adolescent self-reported moderate-to-vigorous physical activity with the overall model accounting for a small amount of the variance (R2=0.076). Conclusion: These results are in agreement with previous research indicating that parents play a small, albeit vital role in the physical activity engagement of their children. Public health campaigns with the aim of promoting youth physical activity should endeavour to incorporate parents into their interventions.