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Chiaki Tanaka, Shigeho Tanaka, Shigeru Inoue, Motohiko Miyachi, Koya Suzuki and John J. Reilly

Background:

The Report Card on Physical Activity for Children and Youth aims to consolidate existing evidence, encourage greater evidence-informed physical activity, and improve surveillance of physical activity.

Methods:

The Japan report card followed the methodology of the Canadian and Scottish report cards, but was adapted to reflect the Japanese context. Nationally representative data were used to score each of the respective indicators.

Results:

The 2016 Japan Report Card on Physical Activity for Children and Youth consists of Health Behaviors and Outcomes (7 indicators), and Influences on Health Behaviors (4 indicators). Three Health Behaviors and Outcomes received C grades (Participation in Sport; Sedentary Behavior; Recreational Screen Time; Physical Fitness), while 2 indicators could not be graded (Overall Physical Activity, and Active Play). The indicators Active Transportation (B) and Weight Status were favorable (A). In the Influences domain, Family Influence and Community and the Built Environment were graded as D, while School and Government Strategies and Investments were favorable (B).

Conclusions:

The Japan report card illustrated some favorable health behaviors, health outcomes, and influences. There is a need for more evidence especially on overall physical activity levels, active play, and community and the built environment.

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Barbara Sternfeld and Lisa Goldman-Rosas

Context:

Numerous instruments to measure self-reported physical activity (PA) exist, but there is little guidance for determining the most appropriate choice.

Objective:

To provide a systematic framework for researchers and practitioners to select a self-reported PA instrument.

Process:

The framework consists of 2 components: a series of questions and a database of instruments. The questions encourage users to think critically about their specific needs and to appreciate the strengths and limitations of the available options. Instruments for the database were identified through existing literature and expert opinion.

Findings:

Ten questions, ranging from study aim and study design to target population and logistical consideration, guide the researcher or practitioner in defining the criteria for an appropriate PA instruments for a given situation. No one question on its own determines the optimal choice, but taken together, they narrow the potential field. The database currently includes 38 different self-reported PA instruments, characterized by 18 different parameters.

Conclusions:

The series of questions presented here, in conjunction with a searchable database of self-report PA instruments, provides a needed step toward the development of guiding principles and good practices for researchers and practitioners to follow in making an informed selection of a self-reported PA instrument.

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Lynette L. Craft, Frank M. Perna, Karen M. Freund and Larry Culpepper

Background:

Exercise effectively reduces symptoms of depression. However, correlates of regular exercise in depressed women are unknown. This study assessed psychosocial determinants of exercise in a sample of women with depressive symptoms.

Methods:

Sixty-one women completed demographic, depression, and exercise-related questionnaires.

Results:

The average Primary Health Ques-tionnaire-9 (PHQ-9) depression score was 12.1 (SD = 5.0), indicating moderate depressive symptoms. In the previous week, the women reported 12.8 metabolic equivalents (METs) of exercise. Low levels of self-efficacy and social support for exercise were also reported. Depressive symptoms were positively associated with barriers to exercise (r = .35, P < .01), and barriers were inversely related to exercise METs (r = –.37, P < .05). Barriers to activity and education level were significant determinants of exercise.

Conclusions:

Women with depressive symptoms report minimal exercise involvement, numerous barriers to exercise, and low exercise self-efficacy and social support for exercise.

Open access

Anna E. Saw, Michael Kellmann, Luana C. Main and Paul B. Gastin

Athlete self-report measures (ASRM) have the potential to provide valuable insight into the training response; however, there is a disconnect between research and practice that needs to be addressed; namely, the measure or methods used in research are not always reflective of practice, or data primarily obtained from practice lacks empirical quality. This commentary reviews existing empirical measures and the psychometric properties required to be considered acceptable for research and practice. This information will allow discerning readers to make a judgment on the quality of ASRM data being reported in research papers. Fastidious practitioners and researchers are also provided with explicit guidelines for selecting and implementing an ASRM and reporting these details in research papers.

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Michael W. Beets, Arissa G. Eilert, Kenneth H. Pitetti and John T. Foley

Child-parent pairs (n = 109) completed a questionnaire assessing whether changes in normal physical activity levels occurred (child) or were observed (parent) when the children wore a pedometer for 7 days. Over two-thirds of the children (78.5%) and almost half of the parents (47.3%) indicated an increase in the child’s normal physical activity. Reduced television viewing (75.2%) and increased outdoor play on the weekend (35.8%) were the most frequently reported means of behavior change as reported by the children and parents, respectively. Results indicate that both children and parents perceive a reactive effect to wearing an unsealed pedometer.

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James J. McClain, David Grant, Gordon Willis and David Berrigan

Background:

Question design can influence the validity and reliability of physical activity (PA) self-report instruments. This study assesses the effect of temporal domain (“days” walked versus “times” walked) on survey questions about walking behavior.

Methods:

A 2005 California Health Interview Survey (CHIS) sub-sample (n = 6332) reported the number of days or times they walked for leisure or transportation in the past 7 days and the usual time spent per day or per time. Question order was randomized by temporal domain. Minutes walked per week (mean ± SE) and adherence to PA guidelines (≥150 min/wk) were assessed.

Results:

Estimates of leisure walking remained stable across temporal domain (days = 71.4 ± 2.5 min; times = 73.4 ± 2.4 min), but transportation walking differed depending on domain (days = 70.4 ± 3.2 min; times = 52.5 ± 2.6 min). Adherence to PA guidelines based on leisure walking was stable across temporal domain (days = 14.9 ± 0.6%; times = 14.9 ± 0.6%), but again differed by domain for transportation walking (days = 10.4 ± 0.6%; times = 7.8 ± 0.5%). A large order effect (number-of-days versus number-of-times asked first) was observed for reports of days walking for transportation (days first = 87.8 ± 2.9 min; times first = 52.3 ± 2.5 min).

Conclusion:

Temporal domain influences estimates of self-reported transportation walking behavior. Current efforts to capture PA from both transportation and leisure activities in health research appear to present distinct methodological challenges.

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Helene Buch Pedersen, Morten Helmer-Nielsen, Karin Brochstedt Dieperink and Birte Østergaard

Background:

Exercise on prescription (EOP) is an attempt to increase physical activity among sedentary adults with signs of lifestyle diseases. Until now, no studies have focused on patients with chronic diseases and how they assess the long-term effect of participating in EOP consisting of supervised interventions of different intensities. This study aimed to describe and compare self-reported physical activity in the long term among participants in 3 EOP modules of different intensities.

Methods:

A cross-sectional survey was conducted among 1152 former participants in EOP between July 2005 and May 2007 in 2 Danish counties. Physical activity was measured as number of days with a minimum 30 minutes of moderate/vigorous activity.

Results:

Seventy-five percent (n = 854) returned the questionnaire. Of these, 36% reported being physically active ≥ 5 days/week. Comparing leisure-time activities before EOP 29% was sedentary vs. 15% (P < 0 .01) after, moderate + hard leisure-time activities was 7% before vs. 19% after EOP (P < 0 .01). Time postintervention did not influence the numbers reporting to be physical active negatively.

Conclusions:

This study in community-dwelling adults with chronic diseases participating in EOP finds that approximately one-third reported being physically active in the long term postintervention, but no differences between the modalities were found.

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Marjolein Visser, Robert J. Brychta, Kong Y. Chen and Annemarie Koster

We aimed to compare self-reported adherence to the physical activity recommendation with accelerometry in older adults and to identify determinants of misperception. The sample included 138 adults age 65–75 yr old participating in the Longitudinal Aging Study Amsterdam. Participants completed a lifestyle questionnaire and wore an accelerometer for one week. More than half (56.8%) of the participants reported to adhere to the physical activity recommendation (in 5-min bouts), however, based on accelerometry, this percentage was only 24.6%. Of those who reported to adhere, 65.3% did not do so based on accelerometry. The misperceivers were older (p < .009), more often female (p = .007), had a poorer walking performance (p = .02), reported a lower social support (p = .04), and tended to have a lower self-efficacy (p = .09) compared with those who correctly perceived their adherence to the recommendation. These results suggest that misperception of adherence to the physical activity recommendation is highly prevalent among specific subgroups of older adults.

Open access

Razinah Sharif, Kar Hau Chong, Nur Hadiyani Zakaria, Min Li Ong, John J. Reilly, Jyh Eiin Wong, Hazizi Abu Saad and Bee Koon Poh

Background:

The 2016 Malaysia Active Healthy Kids Report Card aims to collect, assess, and grade current and comprehensive data on physical activity (PA) and associated factors in Malaysian children and adolescents aged 5 to 17 years.

Methods:

This report card was developed following the Active Healthy Kids Canada Report Card protocol. The Research Working Group identified the core matrices, assessed the key data sources, and evaluated the evidence gathered for grade assignments. A grade was assigned to each indicator by comparing the best available evidence against relevant benchmark using a standardized grading scheme.

Results:

Overall Physical Activity, Active Transportation, and Sedentary Behavior were assigned the D grade. The lowest grade of F was assigned to Diet, while School and Government Strategies and Investments were graded higher with a B. Five indicators were assigned INC (incomplete) due to a lack of representative data.

Conclusions:

The report card demonstrates that Malaysian children and adolescents are engaging in low levels of PA and active commuting, high levels of screen time, and have extremely low compliance with dietary recommendations. More efforts are needed to address the root causes of physical inactivity while increasing the opportunities for children and adolescents to be more physically active.

Open access

Joel D. Barnes, Christine Cameron, Valerie Carson, Jean-Philippe Chaput, Guy E.J. Faulkner, Katherine Janson, Ian Janssen, Roger Kramers, Allana G. LeBlanc, John C. Spence and Mark S. Tremblay

Background:

The ParticipACTION Report Card on Physical Activity for Children and Youth is the most comprehensive assessment of child and youth physical activity in Canada and provides an update or “state of the nation” that assesses how Canada is doing at promoting and facilitating physical activity opportunities for children and youth. The purpose of this paper is to summarize the results of the 2016 ParticipACTION Report Card.

Methods:

Twelve physical activity indicators 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-; Organized Sport and Physical Activity Participation: B; Active Play: D+; Active Transportation: D; Physical Literacy: D+; Sleep: B; Sedentary Behaviors: F), Settings and Sources of Influence (Family and Peers: C+; School: B; Community and Environment: A-), and Strategies and Investments (Government: B-; Nongovernment: A-).

Conclusions:

Similar to previous years of the Report Card, Canada generally received good grades for indicators relating to investment, infrastructure, strategies, policies, and programming, and poor grades for behavioral indicators (eg, Overall Physical Activity, Sedentary Behaviors).