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• Not meeting sleep duration and activity guidelines increased mortality risk • Mortality risks of short or long sleep are reduced by meeting activity guidelines • Interventions targeting physical activity and sleep duration may be beneficial To examine the joint associations between meeting guidelines for physical activity (PA) and sleep duration and all-cause mortality risk among adults. Participants were adults (n = 282,473) aged 18–84 years who participated in the 2004–2014 U.S. National Health Interview Survey. Mortality status was ascertained using the National Death Index through December 2015. Self-reported PA (Active: meeting both aerobic (AER) and muscle-strengthening (MSA) guidelines, AER only (AER), MSA only (MSA), or not meeting either AER or MSA (Inactive)) and sleep duration (Short, recommended (Rec), or Long) were classified according to guidelines, and 12 PA–sleep categories were derived. Adjusted hazard ratios and 95% confidence intervals (95%CIs) for all-cause mortality risk were estimated using Cox proportional hazards regression models. A total of 282,473 participants (55% females) were included; 18,793 deaths (6.7%) occurred over an average follow-up of 5.4 years. Relative to the Active-Rec group, all other PA-sleep groups were associated with increased mortality risk except for the Active-Short group (hazard ratio = 1.08; 95%CI: 0.92–1.26). The combination of long sleep with either MSA or Inactive appeared to be synergistic. For a given sleep duration, mortality risk progressively increased among participants classified as AER, MSA, and Inactive. Within each activity level, the mortality risk was greatest among adults with long sleep. Relative to adults meeting guidelines for both PA and sleep duration, adults who failed to meet guidelines for both AER and muscle strengthening PA and who also failed to meet sleep duration guidelines had elevated all-cause mortality risks. These results support interventions targeting both PA and sleep duration to reduce mortality risk. [Display omitted] [ABSTRACT FROM AUTHOR]

• Acceptability of the TaylorActive intervention website was rated mostly high in the video-tailored and text-tailored intervention groups. • Usability was rated high across the 3 groups with no significant between-group differences. • Usage of the TaylorActive website was modest in both video-tailored and text-tailored intervention groups. • Perceived usefulness of the TaylorActive website for increasing physical activity was rated low in both intervention groups, albeit significantly higher compared to the control group. • Satisfaction with the TaylorActive website was mixed. Intervention participants liked its ease of use, personalized feedback, and tracking of progress; however, they found completing action plans and survey questions each week repetitive and tedious. This study aimed to examine the usage, acceptability, usability, perceived usefulness, and satisfaction of a web-based video-tailored physical activity (PA) intervention (TaylorActive) in adults. In 2013–2014, 501 Australian adults aged 18+ years were randomized into a video-tailored intervention, text-tailored intervention, or control group. Over 3 months, the intervention groups received access to 8 sessions of personally tailored PA advice delivered via the TaylorActive website. Only the delivery method differed between the intervention groups: video-tailored vs. text-tailored. Google Analytics and telephone surveys conducted at post intervention (3 months) were used to assess intervention usage, acceptability, usability, perceived usefulness, and satisfaction. Quantitative and qualitative process data were analyzed using descriptive statistics and thematic content analysis. Of 501 recruited adults, 259 completed the 3-month post-intervention survey (52% retention). Overall, usage of the TaylorActive website with respect to number of website visits, intervention sessions, and action plans completed was modest in both the video-tailored (7.6 ± 7.2 visits, mean ± SD) and text-tailored (7.3 ± 5.4 visits) groups with no significant between-group differences. The majority of participants in all groups used the TaylorActive website less than once in 2 weeks (66.7% video-tailored, 62.7% text-tailored, 87.5% control; p < 0.001). Acceptability was rated mostly high in all groups and, in some instances, significantly higher in the intervention groups compared to the control group (p < 0.010). Usability was also rated high; mean Systems Usability Scores were 77.3 (video-tailored), 75.7 (text-tailored), and 74.1 (control) with no significant between-group differences. Perceived usefulness of the TaylorActive intervention was low, though mostly rated higher in the intervention groups compared to the control group (p < 0.010). Satisfaction with the TaylorActive website was mixed. Participants in both intervention groups liked its ease of use, personalized feedback, and tracking of progress, but also found completing action plans and survey questions for each session repetitive and tedious. Providing personally tailored PA advice on its own (through either video or text) is likely insufficient to ensure good retention, usage, perceived usefulness, and satisfaction with a web-based PA intervention. Strategies to address this may include the incorporation of additional intervention components such as activity trackers, social interactions, gamification, as well as the use of advanced artificial intelligence and machine learning technologies to allow more personalized dialogue with participants. [Display omitted] [ABSTRACT FROM AUTHOR]

Supporting healthy ageing is a key priority worldwide. Physical activity, diet quality and sleep are all associated with health outcomes, but few studies have explored their independent associations with all-cause mortality in an older population in the same model. The study aim was to examine associations between step-count, self-reported diet quality, restless sleep, and all-cause mortality in adults aged 55–85 years. A prospective cohort study of adults in Newcastle, New South Wales, Australia. Data were from 1697 participants (49.3% women; baseline mean age 65.4 ± 7.1 years). Daily steps (measured by pedometer), diet quality (from a modified Australian Recommended Food Score), and frequency of restless sleep (by self-report) were assessed in relation to all-cause mortality using Cox proportional hazard regression with adjustment for sex, age, household income and smoking. Baseline data were collected between January 2005 and April 2008, and last follow-up was in March 2017 (median follow-up 9.6 years). Higher step count (HR: 0.93, 95%CI: 0.88–0.98 per 1000-step increment) and higher diet quality (HR: 0.86, 95%CI: 0.74–0.99 per 8-point increment in diet quality score) were associated with reduced mortality risk. Restless sleep for ≥3 nights/week was not associated with mortality risk (HR: 1.03, 95%CI: 0.78–1.39). Sensitivity analyses, adjusting for chronic disease and excluding deaths <1 year after baseline, did not change these estimates. Increased daily steps and consumption of a greater variety of nutrient-dense foods every week would result in substantial health benefits for older people. Future research should include a greater variety of sleep measures. [ABSTRACT FROM AUTHOR]

Objectives: While outdoor gyms are being rapidly installed around the globe, little is known about their implications on physical activity, and fitness and other health-related outcomes. The primary objective of this systematic review was to examine the effects of outdoor gyms on physical activity, fitness and other health-related outcomes. Secondary objectives were to describe outdoor gym characteristics, user characteristics, and outdoor gym usage.Design: Systematic review.Methods: Peer-reviewed papers published in English were obtained through online database searches of the following databases; EBSCO, SPORTdiscus, Medline, PsycINFO, Web of Science, Scopus and Informit. Searches covered the periods from database inception to January 2019. Studies that reported on the efficacy of outdoor gym use for physical activity, health-related outcomes or descriptive aspects of outdoor gyms and their users were eligible for inclusion.Results: There was some support that outdoor gyms may improve physical activity, fitness and other health-related outcomes, however few experimental studies have been conducted. There was no consistency between outdoor gyms in terms types and number of installed equipment for each facility. Further, this review found discrepancies of whom were the most likely users of outdoor gyms and when they were mainly used.Conclusions: This review contributes to the limited evidence on the impact and characteristics of outdoor gyms on physical activity and fitness and health-related outcomes. [ABSTRACT FROM AUTHOR]

Many adults without a diagnosed sleep disorder report poor sleep health, which is defined by dissatisfactory levels of sleep duration, sleep quality, or the timing of sleep. No previous review has summarized and described interventions targeting poor sleep health in this population. This meta-analysis aimed to quantify the efficacy of behavioral and cognitive sleep interventions in adults with poor sleep health, who do not have a sleep disorder. Electronic databases (Medline, Embase, PsycInfo, Cinahl) were searched with restrictions for age (18-64 y) and English language full-text, resulting in 18,009 records being screened and 592 full-texts being assessed. Eleven studies met inclusion criteria, seven of which reported a measure of overall sleep health (Pittsburgh sleep quality index [PSQI]). Following appraisal for risk of bias, extracted data were meta-analyzed using random-effects models. Meta-analyses showed interventions had a medium effect on sleep quality (Hedge's g = -0.54, [95% confidence interval (CI)] -0.90 to -0.19, p < 0.01). Baseline sleep health was the only significant effect moderator (p = 0.01). The most frequently used intervention components were stress management and relaxation practice, stimulus control, sleep hygiene, and exercise. Interventions targeting cognitive and behavioral self-regulation improve sleep quality in adults without clinical sleep disorder. [ABSTRACT FROM AUTHOR]

Objective: To determine the comparability and feasibility of wrist- and hip-worn accelerometers among free-living adolescents.Design: 89 adolescents (age=13-14years old) from eight secondary schools in New South Wales (NSW), Australia wore wrist-worn GENEActiv and hip-worn ActiGraph (GT3X+) accelerometers simultaneously for seven days and completed an accelerometry behavior questionnaire.Methods: Bivariate correlations between the wrist- and hip-worn out-put were used to determine concurrent validity. Paired samples t-test were used to compare minutes per day in moderate-to-vigorous physical activity (MVPA). Group means and paired sample t-tests were used to analyze participants' perceptions of the wrist- and hip-worn monitoring protocols to assist with determining the feasibility.Results: Wrist-worn accelerometry compared favorably with the hip-worn in average activity (r=0.88, p<0.001) and MVPA (r=0.84 p<0.001, mean difference=3.54min/day, SD=12.37). The wrist-worn accelerometer had 50% fewer non-valid days (75 days, 12%) than the hip-worn accelerometer (n=152, 24.4%). Participants reported they liked to wear the device on the wrist (p<0.01), and that it was less uncomfortable (p=0.02) and less embarrassing to wear on the wrist (p<0.01). Furthermore, that they would be more willing to wear the device again on the wrist over the hip (p<0.01).Conclusions: Our findings reveal there is a strong linear relationship between wrist- and hip-worn accelerometer out-put among adolescents in free-living conditions. Adolescent compliance was significantly higher with wrist placement, with participants reporting that it was more comfortable and less embarrassing to wear on the wrist. [ABSTRACT FROM AUTHOR]

Introduction The primary aim was to examine longitudinal associations between changes in screen-time and mental health outcomes among adolescents. Methods Adolescents (N = 322, 65.5% females, mean age = 14.4 ± 0.6 years) reported screen-time and mental health at two time points over a school year. Multi-level linear regression analyses were conducted after adjusting for covariates. Results Changes in total recreational screen-time ( β = −0.09 p = 0.048) and tablet/mobile phone use ( β = −0.18, p < 0.001) were negatively associated with physical self-concept. Changes in total recreational screen-time ( β = −0.20, p = 0.001) and computer use ( β = −0.23, p = 0.003) were negatively associated with psychological well-being. A positive association was found with television/DVD use and psychological difficulties ( β = 0.16, p = 0.015). No associations were found for non-recreational screen-time. Conclusion Changes in recreational screen-time were associated with changes in a range of mental health outcomes. [ABSTRACT FROM AUTHOR]

Few studies have investigated the impact of web-based physical activity interventions on mental health outcomes. Therefore, this study examined the impact of a web-based personally tailored physical activity intervention on depression, anxiety, stress and quality of life. 501 participants were randomised into either a control group or a pooled intervention condition who received a 3-month web-based personally tailored physical activity intervention. Previously, this intervention has demonstrated to improve self-reported physical activity, but not device-measured physical activity. At baseline, 3- and 9-months, depression, anxiety and stress were assessed using the DASS21, and quality of life was assessed using the SF-12V2. General linear mixed models examined differences between groups over time. Most participants (>80%) reported normal levels of depression, anxiety or stress. Relative to baseline levels, significant reductions of depression, anxiety, stress and the SF12 mental health component were observed in the pooled intervention group at 3 and 9 months. Relative to the control group, significant reductions were observed in the pooled intervention group for depression and stress (3-months only) and anxiety (3- and 9-months), but not quality of life. A web-based physical activity intervention can result in positive mental health outcomes, even in the absence of device-measured physical activity improvements. However, these findings need to be confirmed in future studies. ACTRN12615000057583. • The web-based intervention was able to improve depression, anxiety and stress. • The web-based physical activity intervention had little impact on quality of life. • Mental health outcomes improved even when device-measured physical activity did not. [ABSTRACT FROM AUTHOR]

Background: Web-based physical activity interventions that apply computer tailoring have shown to improve engagement and behavioral outcomes but provide limited accountability and social support for participants. It is unknown how video calls with a behavioral expert in a Web-based intervention will be received and whether they improve the effectiveness of computer-tailored advice.Objective: The purpose of this study was to determine the feasibility and effectiveness of brief video-based coaching in addition to fully automated computer-tailored advice in a Web-based physical activity intervention for inactive adults.Methods: Participants were assigned to one of the three groups: (1) tailoring + video-coaching where participants received an 8-week computer-tailored Web-based physical activity intervention ("My Activity Coach") including 4 10-minute coaching sessions with a behavioral expert using a Web-based video-calling program (eg, Skype; n=52); (2) tailoring-only where participants received the same intervention without the coaching sessions (n=54); and (3) a waitlist control group (n=45). Demographics were measured at baseline, intervention satisfaction at week 9, and physical activity at baseline, week 9, and 6 months by Web-based self-report surveys. Feasibility was analyzed by comparing intervention groups on retention, adherence, engagement, and satisfaction using t tests and chi-square tests. Effectiveness was assessed using linear mixed models to compare physical activity changes between groups.Results: A total of 23 tailoring + video-coaching participants, 30 tailoring-only participants, and 30 control participants completed the postintervention survey (83/151, 55.0% retention). A low percentage of tailoring + video-coaching completers participated in the coaching calls (11/23, 48%). However, the majority of those who participated in the video calls were satisfied with them (5/8, 71%) and had improved intervention adherence (9/11, 82% completed 3 or 4 modules vs 18/42, 43%, P=.01) and engagement (110 minutes spent on the website vs 78 minutes, P=.02) compared with other participants. There were no overall retention, adherence, engagement, and satisfaction differences between tailoring + video-coaching and tailoring-only participants. At 9 weeks, physical activity increased from baseline to postintervention in all groups (tailoring + video-coaching: +150 minutes/week; tailoring only: +123 minutes/week; waitlist control: +34 minutes/week). The increase was significantly higher in the tailoring + video-coaching group compared with the control group (P=.01). No significant difference was found between intervention groups and no significant between-group differences were found for physical activity change at 6 months.Conclusions: Only small improvements were observed when video-coaching was added to computer-tailored advice in a Web-based physical activity intervention. However, combined Web-based video-coaching and computer-tailored advice was effective in comparison with a control group. More research is needed to determine whether Web-based coaching is more effective than stand-alone computer-tailored advice.Trial Registration: Australian New Zealand Clinical Trials Registry (ACTRN): 12614000339651; http://www.anzctr.org.au/TrialSearch.aspx?searchTxt=ACTRN12614000339651+&isBasic=True (Archived by WebCite at http://www.webcitation.org/6jTnOv0Ld). [ABSTRACT FROM AUTHOR]

Youth participation in organised sport and physical activity is important for healthy development, growth and wellbeing. In 2014, Active Healthy Kids Australia released its inaugural Report Card on Physical Activity for Children and Young People, which synthesised the best available national- and state-level data for children and young people (<18 years). This paper provides a more detailed examination of the evidence informing the grade for Organised Sport from the 2014 Report Card, compares Australia's Organised Sport grade with other countries, identifies future directions for research and surveillance, and explores possible beneficial strategies. The Report Card highlighted that between 64% and 85% of Australians aged 5-17 years participate in organised sports, a rate higher than alternate forms of physical activity such as active transportation, active play and school based physical activity. This finding reflects Australia's position as one of the global leaders for participating in organised sport. Future research and surveillance methodologies however, need to incorporate standardised metrics that aim to capture more detailed data regarding organised sport participation. Facilitating access for all children and preventing dropout from organised sports are important initiatives to improve current levels of sport participation. However, given that 80% of Australians aged 5-17 years are not sufficiently physically active to achieve the daily recommendation, participation in sport alone is not enough to ensure that children can accrue the health benefits associated with being physically active. As such, there is a pressing need to develop strategies that engage children in other forms of physical activity such as active transportation and active play. [ABSTRACT FROM AUTHOR]

Objective: To determine whether time spent outdoors was associated with increased moderate-to-vigorous physical activity (MVPA) and related health benefits in youth. Study design: We performed a cross-sectional study of 306 youth aged 13.6 ± 1.4 years. The exposure of interest was self-reported time spent outdoors after school, stratified into three categories: none, some, and most/all of the time. The main outcome of interest was accelerometer-derived MVPA (Actical: 1500 to >6500 counts/min). Secondary outcomes included sedentary behavior, cardiorespiratory fitness, overweight status, and blood pressure. Results: Among the 306 youth studied, those who reported spending most/all of their after-school time outdoors (n = 120) participated in more MVPA (61.0 ± 24.3 vs 39.9 ± 19.1 min/day; adjusted P < .001), were more likely to achieve the recommended minimum 60 min/day of MVPA (aOR 2.8; 95% CI, 1.3-6.4), spent less time in sedentary activities (539 ± 97 min/day vs 610 ± 146 min/day; adjusted P < .001), and had higher cardiorespiratory fitness (49 ± 5 vs 45 ± 6 mL/kg/min; adjusted P < .001) than youth who reported no time outdoors (n = 52). No differences in overweight/obesity or blood pressure were observed across the groups. Conclusions: Time spent outdoors is positively associated with MVPA and cardiorespiratory fitness in youth and negatively associated with sedentary behavior. Experimental trials are needed to determine whether strategies designed to increase time spent outdoors exert a positive influence on physical activity and fitness levels in youth. [ABSTRACT FROM AUTHOR]

Abstract: Objective: To evaluate the impact of a 12-month school-based multi-component program on adolescent girls’ physical activity and sedentary behaviors, and hypothesized mediators of physical activity behavior change. Design: Group randomized controlled trial with 12-month follow-up. Methods: The intervention, guided by Social Cognitive Theory, involved 357 adolescent girls (13.2±0.5 years) from 12 secondary schools (6 intervention schools, 6 control schools) in low-income communities in the Hunter and Central Coast regions of New South Wales, Australia. The intervention included enhanced school sport, lunchtime physical activity sessions, interactive seminars, student handbooks, nutrition workshops, pedometers, parent newsletters and text messages to encourage physical activity and healthy eating, and a decrease in sedentary behavior. Outcomes were assessed at baseline and 12-months and included: physical activity (accelerometers), sedentary behaviors (questionnaire and accelerometers), and social-cognitive mediators of physical activity (questionnaire). Results: There were significant between group differences in favor of the intervention group for self-reported recreational computer use (−26.0min; 95% CI, −46.9 to −5.1), and sedentary activities summed (−56.4min; 95% CI, −110.1 to −2.7), however objective sedentary behavior showed no differences. There were no group-by-time effects for any of the physical activity outcomes or hypothesized mediators. Conclusions: A school-based intervention tailored for adolescent girls from schools located in low-income communities significantly reduced time spent in sedentary activities. However, improvements in physical activity and hypothesized mediators of physical activity behavior were not observed. Future studies are encouraged to explore alternative mechanisms of behavior change derived from integrated and socio-ecological theories. [Copyright &y& Elsevier]

Objective: The Health Action Process Approach (HAPA) proposes principles that can be translated into testable hypotheses. This is one of the first studies to have explicitly tested HAPA's first 2 principles, which are (1) health behavior change process can be subdivided into motivation and volition, and (2) volition can be grouped into intentional and action stages. The 3 stage groups are labeled preintenders, intenders, and actors. Method: The hypotheses of the HAPA model were investigated in a sample of 1,193 individuals with Type 2 diabetes. Study participants completed a questionnaire assessing the HAPA variables. The hypotheses were evaluated by examining mean differences of test variables and by the use of multigroup structural equation modeling (MSEM). Results: Findings support the HAPA's 2 principles and 3 distinct stages. The 3 HAPA stages were significantly different in several stage-specific variables, and discontinuity patterns were found in terms of nonlinear trends across means. In terms of predicting goals, action planning, and behavior, differences transpired between the 2 motivational stages (preintenders and intenders), and between the 2 volitional stages (intenders and actors). Conclusions: Results indicate implications for supporting behavior change processes, depending on in which stage a person is at: All individuals should be helped to increase self-efficacy. Preintenders and intenders require interventions targeting outcome expectancies. Actors benefit from an improvement in action planning to maintain and increase their previous behavior. Overall, the first 2 principles of the HAPA were supported and some evidence for the other principles was found. Future research should experimentally test these conclusions. [ABSTRACT FROM AUTHOR]

Community-based participatory research (CBPR) is an evidence-based approach that can guide the development, implementation, and evaluation of childhood obesity prevention initiatives at the community level. The goal of this paper is to describe the CBPR process and resulting experiences from a childhood obesity prevention study in Alexander First Nation, Alberta, Canada. University-based researchers and an Elder from the Alexander First Nation co-created the study aims and objectives. A research steering committee (including community members, professionals who worked in the community, Elders, and university researchers and trainees) and a research agreement were established to guide research and dissemination activities. From 2006 on, the CBPR partnership between community-based stakeholders and university-based researchers facilitated: (1) capacity building, which promoted community protection, increased research capacity, and created an opportunity for long-term engagement; (2) knowledge transfer and exchange, which facilitated dissemination within the community, improved access to culturally bound knowledge, and created external opportunities to positively portray the community and share experiences; (3) novel research findings; and (4) unexpected consequences including new projects. Our experiences highlight the advantages of CBPR and are relevant for stakeholders (e.g., community members, health professionals, and researchers) considering a community-based solution for community-based health challenges such as preventing childhood obesity. [ABSTRACT FROM AUTHOR]

Abstract: Purpose: Evidence suggests sitting time is independently associated with a range of health issues in adults, yet the relationship between sedentary behavior and health indicators in young people is less clear. Age-related increases in sedentary behavior are well-documented; the behavioral patterns of adolescent girls are of particular concern. More than one third of adolescent girls’ sedentary behavior time is accumulated through use of recreational screen-based behaviors. The objective of this review was to investigate the association between recreational screen-based sedentary behavior and the physical, behavioral, and psychosocial health indicators for adolescent girls. A secondary objective was to identify studies that have adjusted sedentary behavior indicators for physical activity. Methods: A structured electronic search of all publication years (through December 2011) was conducted to identify studies in: CINAHL, Communications and Mass Media Complete, ERIC, MEDLINE with Full Text, PsycINFO, and SPORTDiscus with Full Text. Included publications were observational and interventional studies involving adolescent girls (12–18 years) that examined associations between screen-based, sedentary behavior and health indicators (physical, psychosocial, and/or behavioral). The search identified 33 studies that evaluated health indicators of screen-based sedentary behaviors among adolescent girls. Results: Strong evidence for a positive association between screen-based sedentary behavior and weight status was found. A positive association was observed between screen-time and sleep problems, musculoskeletal pain and depression. Negative associations were identified between screen time and physical activity/fitness, screen time and psychological well-being, and screen time and social support. The relationship between screen-based sedentary behavior and diet quality was inconclusive. Less than half of the studies adjusted sedentary behavior indicators for physical activity. Conclusions: Screen-based sedentary behavior is associated with a range of adverse health consequences, but additional longitudinal studies are needed to better understand the health impacts. In addition, screen-time guidelines for youth should be regularly revised and updated to reflect rapid technological changes. [Copyright &y& Elsevier]

Abstract: Background: Adverse health effects of sedentary behaviour on cancer risk and health outcomes in cancer survivors have been reported but few studies have examined quality of life (QoL) and no study has focused on kidney cancer survivors (KCS). The purpose of this study was to estimate the prevalence of sitting time among KCS and to determine any associations with QoL. Methods: All 1985 KCS diagnosed between 1996 and 2010 identified through a Canadian provincial Registry were mailed a survey that consisted of the modified domain-specific sitting time questionnaire, the Godin Leisure Time Exercise Questionnaire and several Functional Assessment of Cancer Therapy (FACT) QoL scales. Standard demographic and medical variables were also reported. Results: Completed surveys were received from 540 KCS. The mean hours of sitting time were 8.0 ± 4.7 for a work-day and 6.5 ± 3.8 for a non-work day. After adjustment for key covariates, analyses of covariance indicated that the only significant relationship was an unexpected positive association between sitting time on a work day and emotional well-being (p = 0.019). Moreover, the only variable to moderate these associations was age, with younger KCS under age 60 showing the expected negative associations between sitting time and physical and functional aspects of QoL. Conclusion: KCS sit for a significant amount of time on work days and non-work days, however, there were few associations with QoL. Future observational studies and randomized controlled trials are warranted to examine sitting time and health outcomes among KCS. [Copyright &y& Elsevier]

The article discusses a study which examined the prevalence of physical activity (PA) in kidney cancer survivors (KCS) and identified any linkage with quality of life (QoL). The Godin Leisure Time Exercise Questionnaire and several Functional Assessment of Cancer Therapy QoL scales were mailed to KCS diagnosed between 1996 and 2010. Results showed that 56.3% of KCS were completely sedentary and 14.1% exceeded public health guidelines. The study also found a dose-response association between PA and QoL outcomes.

Purpose: The objective of this investigation was to examine the mechanisms of physical activity and dietary behavior change in the Program X intervention. Methods: Program X involved a clustered randomized controlled design with six schools (N=124 participants, mean age=14.1±0.8 years) randomized to intervention or control conditions for the 6-month study period. Physical activity and fruit and vegetable consumption were assessed using pedometers and questionnaires, respectively. The theoretical framework of the intervention was assessed using structural equation modeling, mediation, and moderation analyses. Results: The model explained 56% of the variance in physical activity at 6-months, but did not represent a good fit to the data, χ2 =87.43, df =19, p < .001. The model explaining fruit and vegetable consumption explained 31% of the variance and provided a good fit to the data, χ2 =12.40, df =10, p =.259. None of the variables satisfied the criteria for mediation or moderation in the physical activity model, but gender moderated the effects of intervention on fruit and vegetable consumption. Conclusions: None of the hypothesized mediators were responsible for behavior change in the Program X intervention. Future studies should address the limitations of existing psychosocial scales and continue to explore the mechanisms of behavior change using model testing, mediation, and moderation analyses. [Copyright &y& Elsevier]

The article presents a study which aims to examine the physical activity (PA) promotion of the Protection Motivation Theory (PMT), considering practical and theoretical situation. A cross-sectional test was conducted in examining the application of PMT among 800 Australian adults. The results indicate that PMT may not be useful as a model in the promotion of PA behavior, considering other moderating variables, such as ethnicity and income.

Abstract: This study examined the prevalence, clustering, age trends, and gender differences of chronic-disease related risk factors among a large sample of adolescents (N = 4932) in Alberta, Canada. Approximately 43% of boys and 53% of girls displayed two or more risk factors. Age trends and gender differences were also observed. [Copyright &y& Elsevier]

Intention is theorized as the proximal determinant of behavior in some theories of motivation, but the need to understand predictors of action control (i.e., translating an intention into behavior) is warranted to tailor physical activity intervention efforts. The purpose of this study was to examine constructs of the transtheoretical model of behavior change (TTM) as predictors of physical activity intention -- behavior profiles across 6 months in a large Canadian sample (N = 1,192). Results showed that 5 of the 8 possible intention -- behavior profiles had a substantial number of participants: nonintenders, unsuccessful adopters, successful adopters, unsuccessful maintainers, and successful maintainers. Constructs of the TTM distinguished (p < .01) intention -- behavior profiles. Self-efficacy and the behavioral processes of change were particularly good predictors of action control (p < .01), but disaggregated beliefs and processes identified specific intervention targets for successful physical activity adoption and maintenance. The results validate that both action planning and action control are important when understanding physical activity behavior. [ABSTRACT FROM AUTHOR]

Background: More information is needed to document the prevalence of health risk factors in youth. The purpose of this study is to compare the prevalence of physical inactivity, smoking and overweight/obesity among youth in urban and rural schools.Methods: Data were obtained from a Student Physical Activity and Smoking Survey of 2,697 high school students in four urban schools in Ontario and four rural schools in Alberta. Prevalence of physical inactivity was assessed by examining compliance with Canada's Physical Activity Guide to Healthy Active Living, and with daily energy expenditure classification values. Prevalence of smoking was assessed by examining current smoking status. Overweight and obesity prevalences were examined by comparing BMI values to the BMI index for age and sex percentiles set by the Centers for Disease Control and Prevention.Results: Physical activity prevalence was found to be low in our study, with only 57.0% of youth achieving Canada's Physical Activity Guidelines, and with 26.0% classified as sedentary based on the daily energy expenditure classification values. A higher proportion of rural students reported "trying smoking" than urban school students (73.0% versus 64.4%, p<0.001). A significantly higher proportion of rural males were 'overweight' than urban males, and a significantly higher proportion of rural females were 'obese' in comparison to urban females.Conclusion: Our findings add further support for an urgent need to promote physical activity among Canadian youth. Additionally, our results suggest that it is especially important to target rural students, particularly girls, for smoking prevention programs. Future studies are required to examine such rural and urban differences within provinces. [ABSTRACT FROM AUTHOR]

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Copyright of AVANTE is the property of PHE Canada and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)