Specific Types Of Physical Activity Research Articles

Participation in organized sports, physical education, therapeutic exercises, and non-organized leisure-time physical activity: how does participation differ between childhood cancer outpatients and healthy peers?

Most childhood cancer survivors are insufficiently active. Researchers are focusing on strategies to increase physical activity (PA). However, a detailed understanding of participation in specific types of PA is missing, meaning current strategies may lack relevant information. Thus, our study sought to analyze participation in different types of PA commonly engaged in by children: organized sports, physical education in school (PES), therapeutic exercise, and non-organized leisure-time PA. Thirty-eight childhood cancer outpatients and 51 healthy children completed questionnaires. Compared to healthy children, childhood cancer outpatients, especially those who are shortly after cessation of inpatient treatment, participated significantly less often in organized sports and PES and significantly more often in therapeutic exercise compared to the healthy children. Considering organized sports and PES afford children unique social benefits and provide the potential to motivate lifelong activity, future efforts should be placed on ensuring children with cancer can access these types of PA. Educating parents, teachers, and coaches, exploring referral pathways to exercise professionals and providing individual support may enhance participation rates in organized PA and should be investigated.

Patterns of physical activity in sedentary older individuals with type 2 diabetes

BackgroundThe Community Healthy Activities Model Program for Seniors (CHAMPS) survey, summarized into weekly caloric expenditures, is a common physical activity (PA) assessment tool among older adults. Specific types of PA reported in the CHAMPS have not been systematically analyzed. We applied latent class analysis to identify the patterns of PA among sedentary older adults with diabetes reported in the CHAMPS survey.MethodsLatent class models of PA were identified using the CHAMPS survey data reported by 115 individuals aged ≥60 years with type 2 diabetes whom volunteered for a clinical study of PA. Multinomial logistic regression was used to assess independent predictors of a specific latent class, including age, sex, and performance in physical function tests.ResultsNinety-three percent of the participants were classified into 3 latent classes. Participants in latent class 1 (60.9%) primarily reported domestic-focused activities. Participants in latent class 2 and 3 (19.5% and 19.6%, respectively) reported domestic-focused activities, in addition to leisure-time physical activities and structured exercise activities. Latent class 1, with more women than men (73% vs.27%), had the lowest caloric expenditure, whereas class 3, with fewer women than men (28% vs. 72%), had the highest caloric expenditure (all p < 0.001). Latent class 2 had the fastest Timed-Up- and Go (7.65 ± 1.28 s; p = 0.03).ConclusionsIndividual PA response in CHAMPS can be categorized using latent class models into meaningful patterns which can inform PA interventions. Customized PA programs should consider the heterogeneity of the activities among sedentary older adults.Trial RegistrationClinicalTrials.gov Identifier NCT00344240; retrospectively registered 23 June 2006.

Development of a measurement approach to assess time children participate in organized sport, active travel, outdoor active play,\xa0and curriculum-based physical activity

BackgroundChildren participate in four main types of physical activity: organized sport, active travel, outdoor active play, and curriculum-based physical activity. The objective of this study was to develop a valid approach that can be used to concurrently measure time spent in each of these types of physical activity.MethodsTwo samples (sample 1: n = 50; sample 2: n = 83) of children aged 10–13 wore an accelerometer and a GPS watch continuously over 7 days. They also completed a log where they recorded the start and end times of organized sport sessions. Sample 1 also completed an outdoor time log where they recorded the times they went outdoors and a description of the outdoor activity. Sample 2 also completed a curriculum log where they recorded times they participated in physical activity (e.g., physical education) during class time.ResultsWe describe the development of a measurement approach that can be used to concurrently assess the time children spend participating in specific types of physical activity. The approach uses a combination of data from accelerometers, GPS, and activity logs and relies on merging and then processing these data using several manual (e.g., data checks and cleaning) and automated (e.g., algorithms) procedures. In the new measurement approach time spent in organized sport is estimated using the activity log. Time spent in active travel is estimated using an existing algorithm that uses GPS data. Time spent in outdoor active play is estimated using an algorithm (with a sensitivity and specificity of 85%) that was developed using data collected in sample 1 and which uses all of the data sources. Time spent in curriculum-based physical activity is estimated using an algorithm (with a sensitivity of 78% and specificity of 92%) that was developed using data collected in sample 2 and which uses accelerometer data collected during class time. There was evidence of excellent intra- and inter-rater reliability of the estimates for all of these types of physical activity when the manual steps were duplicated.ConclusionsThis novel measurement approach can be used to estimate the time that children participate in different types of physical activity.

Unified Health Gamification can significantly improve well-being in corporate environments.

There is a multitude of mHealth applications that aim to solve societal health problems by stimulating specific types of physical activities via gamification. However, physical health activities cover just one of the three World Health Organization (WHO) dimensions of health. This paper introduces the novel notion of Unified Health Gamification (UHG), which covers besides physical health also social and cognitive health and well-being. Instead of rewarding activities in the three WHO dimensions using different mHealth competitions, UHG combines the scores for such activities on unified leaderboards and lets people interact in social circles beyond personal interests. This approach is promising in corporate environments since UHG can connect the employees with intrinsic motivation for physical health with those who have quite different interests. In order to evaluate this approach, we realized an app prototype and we evaluated it in two corporate pilot studies. In total, eighteen pilot users participated voluntarily for six weeks. Half of the participants were recruited from an occupational health setting and the other half from a treatment setting. Our results suggest that the UHG principles are worth more investigation: various positive health effects were found based on a validated survey. The mean mental health improved significantly at one pilot location and at the level of individual pilot participants, multiple other effects were found to be significant: among others, significant mental health improvements were found for 28% of the participants. Most participants intended to use the app beyond the pilot, especially if it would be further developed.

Classifiers for Accelerometer-Measured Behaviors in Older Women.

Machine learning methods could better improve the detection of specific types of physical activities and sedentary behaviors from accelerometer data. No studies in older populations have developed and tested algorithms for walking and sedentary time in free-living daily life. Our goal was to rectify this gap by leveraging access to data from two studies in older women. In study 1, algorithms were developed and tested in a sample of older women (N = 39, age range = 55-96 yr) in the field. Women wore accelerometers and SenseCam (ground truth annotation) devices for 7 d, yielding 3191 h and 320 d of data. Images were annotated and time matched to accelerometer data, and random forest classifiers labeled behaviors (sitting, riding in a vehicle, standing still, standing moving, and walking/running). In study 2, we examined the concurrent validity of the algorithms using accelerometer data from an observed 400-m walk test (2983 min of data available) and 6 d of wearing both accelerometers and global positioning systems devices in a sample of 222 women (age range = 67-100; 313,290 min of data available). Analyses included sensitivity, specificity balanced accuracy, and precision, as appropriate, averaged over each test participant at the minute level for each behavior. In study 1, the algorithms had 82.2% balanced accuracy. In study 2, the classifier had 87.9% accuracy for predicting walking. Overall machine learning classifiers and global positioning systems had 88.6% agreement. Free-living algorithms for walking and sedentary time yielded high levels of accuracy and concurrent validity and can be applied to existing accelerometer data from older women.

Socioeconomic differences in physical activity in the middle-aged working population: The role of education, occupation, and income

Regular physical activity has positive effects on health at all ages. This study aims to investigate how far physical activity and regular sports engagement, as a more specific type of physical activity, are associated with socioeconomic factors in the middle-aged working population. Data were obtained from 21,699 working men and women aged between 30 and 64 years who participated in the 2009 and 2010 population-based national German Health Update (GEDA) surveys conducted by the Robert Koch Institute. Besides a multi-dimensional index of socioeconomic status (SES), three single dimensions of SES (education, occupation, and income) were used to analyse socioeconomic differences in total physical activity and regular sports engagement. While the prevalence of total physical activity increased with lower SES, the proportion of people with regular sports engagement decreased with lower SES. These associations remained after adjusting for age in men and women. After mutual adjustment of the three single socioeconomic dimensions, physical activity was independently associated with lower education and lower occupational status. Regular sports engagement was observed to be independently associated with higher education, higher occupational status, as well as higher income after mutual adjustment. This study demonstrates significant socioeconomic differences in physical and sports activity in the middle-aged working population. Education, occupation, and income show varying independent associations with physical activity behaviour. Such differences need to be considered when identifying target groups for health-enhancing physical activity interventions.

Association between physical activity motives and type of physical activity in children

Objectives: Motives for participating in a specific type of physical activity (PA) may differ across PA type in youth. We studied the relationship between PA motives and type of PA engaged in by youth. Design: Cross-sectional analysis using data from the Monitoring Activities of Teenagers to Comprehend their Habits (MATCH) study. Method: Eight hundred and two students age 10–11 years from 17 primary schools in New Brunswick, Canada completed a questionnaire that collected data on type of PA participated in (individual, group-based, organised and non-organised), PA motives (enjoyment, social affiliation, competence, fitness/health, and appearance) and attainment of PA guidelines (60 minutes of moderate-to-vigorous PA (MVPA) per day). The associations between PA motives and PA type and between PA motives and attainment of PA recommendations were assessed in multi-level logistic regression models. Results: Endorsing enjoyment motives was associated with participation in organised PA (odds ratio, 95% confidence interval (CI): 1.54, 1.24–1.91). Competence motives were associated with participation in group-based PA (1.27, 1.11–1.46) and achievement of PA recommendations (1.95, 1.37–2.78). Conclusion: Targeting enjoyment and competence motives may be associated with increased participation in organised and group-based PA as well as with an increased likelihood of meeting PA guidelines in youth.

Mortality Benefits for Replacing Sitting Time with Different Physical Activities.

Prolonged sitting has emerged as a risk factor for early mortality, but the extent of benefit realized by replacing sitting time with exercise or activities of everyday living (i.e., nonexercise activities) is not known. We prospectively followed 154,614 older adults (59-82 yr) in the National Institutes of Health-AARP Diet and Health Study who reported no major chronic diseases at baseline and reported detailed information about sitting time, exercise, and nonexercise activities. Proportional hazard models were used to estimate adjusted hazard ratios and 95% confidence intervals (HR (95% confidence interval)) for mortality. An isotemporal modeling approach was used to estimate associations for replacing sitting time with specific types of physical activity, with separate models fit for less active and more active participants to account for nonlinear associations. During 6.8 yr (SD, 1.0) of follow-up, 12,201 deaths occurred. Greater sitting time (≥12 vs < 5 h·d(-1)) was associated with increased risk for all-cause and cardiovascular mortality. In less active adults (<2 h·d(-1) total activity), replacing 1 h·d(-1) of sitting with an equal amount of activity was associated with lower all-cause mortality for both exercise (HR, 0.58 (0.54-0.63)) and nonexercise activities (HR, 0.70 (0.66-0.74)), including household chores, lawn and garden work, and daily walking. Among more active participants (2+ h·d(-1) total activity), replacement of sitting time with purposeful exercise was associated with lower mortality (HR, 0.91 (0.88-0.94)) but not with nonexercise activity (HR, 1.00 (0.98-1.02)). Similar results were noted for cardiovascular mortality. Physical activity intervention strategies for older adults often focus on aerobic exercise, but our findings suggest that reducing sitting time and engaging in a variety of activities is also important, particularly for inactive adults.

Do children walk where they bike? Exploring built environment correlates of children's walking and bicycling

Previous studies examined environmental correlates of children’s physical activity. While most of these studies used aggregated physical activity measures (i.e., overall physical activity, active travel), little is known about the contribution of specific environmental attributes to specific types of physical activity. This study examined associations between GIS-based environmental measures and children’s self-reported walking and bicycling. The study area included “traditional neighborhoods” (N=4), characterized by high-density, land-use mix and grid-street network, and “suburban neighborhoods” (N=3), characterized by low-density, land-use segregation, and cul-de-sac streets. Data on children’s physical activity and psychosocial and socio-demographic factors were obtained through a school survey (of fifth and sixth graders) (N=573). Urban-form measures (intersection density, residential density, and built coverage) were significantly positively associated with walking and negatively associated with bicycling. These associations remained significant after controlling for social, intra- and inter-personal factors. These findings suggest that certain environments may encourage children’s walking and hinder their bicycling at the same time (and vice versa) and therefore raise the need for a more clear distinction between child-related walkability and bikeablilty.

Community-wide promotion of physical activity in middle-aged and older Japanese: a 3-year evaluation of a cluster randomized trial.

BackgroundPromotion of physical activity (PA) is a key strategy to prevent non-communicable diseases. However, evidence on the effectiveness of community-wide interventions (CWIs) for promoting PA is limited.PurposeTo evaluate the effectiveness of a 3-year CWI for promoting PA in middle-aged and older adults compared with usual public health services. This study is an extension to an original 1-year investigation study.DesignCluster randomized controlled trial with community as unit of randomization and individual as unit of analysis.Setting/participants12 communities in Unnan, Japan were randomly allocated to the intervention (9) or the control (3). Additionally intervention communities were randomly allocated to aerobic activity promotion (Group A), flexibility and muscle-strengthening activities promotion (Group FM), or aerobic, flexibility, and muscle-strengthening activities promotion (Group AFM), each consisting of three communities. Randomly-sampled 4414 residents aged 40 to 79 years responded to the baseline survey (74 %), and were analyzed in 2013–2014.InterventionA 3-year CWI based on social marketing, to promote PA from 2009 to 2012.Main outcome measuresThe primary outcome was a change in regular aerobic, flexibility, and/or muscle-strengthening activities, defined by (1) engaging in 150 mins/week or more of walking, (2) engaging in daily flexibility activity, or (3) engaging 2 or more days/week in muscle-strengthening activities, evaluated at the individual level. Secondary outcomes were changes in specific types of PA and musculoskeletal pain. Outcomes were measured at baseline and at 1 and 3 years (2009, 2010, and 2012).ResultsThe CWI did not significantly increase the proportion of adults who reached recommended levels of aerobic, flexibility, and/or muscle-strengthening activities (adjusted change difference = 1.6 % [95 % CI: −3.5, 6.6]). In the subgroup analysis, compared to the controls, adults doing flexibility activity daily significantly increased in Group FM (6.3 % [95 % CI: 1.9, 10.7]). In Group A and AFM for PA outcomes and in all groups for pain outcomes, there was no significant change compared to controls.ConclusionsThe CWI did not achieve significant increase in the proportion of adults who reached recommended PA levels. However, it might be effective in promoting flexibility activity in middle-aged and older Japanese.Trial registrationUMIN-CTR UMIN000002683.Electronic supplementary materialThe online version of this article (doi:10.1186/s12966-015-0242-0) contains supplementary material, which is available to authorized users.

Physical activity and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis

We investigated the association between specific types of physical activity and the risk of type 2 diabetes in a systematic review and meta-analysis of published studies. PubMed, Embase and Ovid databases were searched for prospective studies and randomized trials up to 2nd of March 2015. Summary relative risks (RRs) were calculated using a random effects model. Eighty-one studies were included. The summary RRs for high versus low activity were 0.65 (95 % CI 0.59-0.71, I(2) = 18 %, n = 14) for total physical activity, 0.74 (95 % CI 0.70-0.79, I(2) = 84 %, n = 55) for leisure-time activity, 0.61 (95 % CI 0.51-0.74, I(2) = 73 %, n = 8) for vigorous activity, 0.68 (95 % CI 0.52-0.90, I(2) = 93 %, n = 5) for moderate activity, 0.66 (95 % CI 0.47-0.94, I(2) = 47 %, n = 4) for low intensity activity, and 0.85 (95 % CI 0.79-0.91, I(2) = 0 %, n = 7) for walking. Inverse associations were also observed for increasing activity over time, resistance exercise, occupational activity and for cardiorespiratory fitness. Nonlinear relations were observed for leisure-time activity, vigorous activity, walking and resistance exercise (p nonlinearity < 0.0001 for all), with steeper reductions in type 2 diabetes risk at low activity levels than high activity levels. This meta-analysis provides strong evidence for an inverse association between physical activity and risk of type 2 diabetes, which may partly be mediated by reduced adiposity. All subtypes of physical activity appear to be beneficial. Reductions in risk are observed up to 5-7 h of leisure-time, vigorous or low intensity physical activity per week, but further reductions cannot be excluded beyond this range.

Physical self-concept and participation in physical activity in college students.

The purpose of this study was to test for reciprocal relations between physical self-concept (PSC) and participation in physical activity (PA). We hypothesized specific bidirectional relations between PSC dimensions (i.e., perceived endurance, sport competence, and strength and body attractiveness) and participation in corresponding types of PA (i.e., aerobic exercise, team or individual sports, and strength training). Data were gathered from a questionnaire administered to 386 college students on two occasions (3-month interval) to assess PSC and participation in PA. Structural equation modeling revealed significant paths between each PSC dimension and a corresponding type of PA. Students reported more frequent participation in a specific PA when their PSC concerning the activity was high. However, participation in a given PA did not predict subsequent PSC in the corresponding PA, suggesting unidirectional effects of previous PSC on subsequent participation in PA. These results suggest that strategies that contribute to reinforce PSC are primordial and should be targeted as key components for designing effective PA behavior change interventions among college students.

Participation in Types of Physical Activities Among US Adults--National Health and Nutrition Examination Survey 1999-2006.

Information on specific types of physical activities in which US adults participate is important for community and program development to promote physical activity. Prevalence of participation and average time spent for 33 leisure-time aerobic activities and 10 activity categories were calculated using self-reported data from 22,545 participants aged ≥ 18 years in the National Health and Nutrition Examination Survey 1999-2006. Overall, 38% of US adults reported no leisure-time physical activities, and 43% reported 1 or 2 activities in the past 30 days. Walking was the most frequently reported activity for both men (29%) and women (38%). Among walkers, the average time spent walking was 198 minutes/week for men and 152 minutes/week for women. The most reported activities for men after walking were bicycling and yard work, and for women were aerobics and dance. For most activity categories, participation was lower among adults aged ≥ 65 years than among younger adults, and among Mexican Americans and non-Hispanic blacks than among non-Hispanic whites. Participation in most categories increased with increasing educational attainment. Participation in physical activity differs by types of activities and demographic characteristics. Physical activity promotion programs should take these differences into account when developing intervention strategies.

Long-Term Physical Activity and Risk of Age-Related Cataract: A Population-Based Prospective Study of Male and Female Cohorts

To examine the association of total and specific types of physical activity, including walking or bicycling, exercising, work or occupational activity, home or housework, and leisure time inactivity with the risk of age-related cataract in women and men. Population-based prospective cohort study. A total of 52 660 participants (23 853 women and 28 807 men) 45 to 83 years of age from the Swedish Mammography Cohort and the Cohort of Swedish Men. Physical activity was assessed using a self-administered questionnaire at baseline. Cataract diagnosis and extraction were identified through linkage to registers. Incident age-related cataract diagnosis and cataract extraction. During a mean 12.1 years of follow-up (between January 1, 1998, and December 31, 2011; 634 631 person-years), 11 580 incident age-related cataract cases were identified. After adjusting for potential confounders, the highest quartile of total physical activity was statistically significantly associated with 13% decreased risk of cataract compared with the lowest (hazard ratio [HR], 0.87; 95% confidence interval [CI], 0.82-0.92). Walking or bicycling (>60 minutes/day vs. hardly ever; HR, 0.88; 95% CI, 0.82-0.95) and work or occupational activity (heavy manual labor vs. mostly sitting; HR, 0.84; 95% CI, 0.78-0.91) also were associated with decreased risk of cataract. Exercise training and home or housework were not associated with cataract risk. Leisure time inactivity was associated with increased risk of cataract (>6 vs. <1 hours/day; HR, 1.27; 95% CI, 1.07-1.50). The HR for high long-term total physical activity compared with low levels both at 30 years of age and at baseline was 0.76 (95% CI, 0.69-0.85). Our findings indicate that high total physical activity, especially in the long term, and such specific types of physical activity as walking or bicycling and work or occupational activity, may be associated with decreased risk of age-related cataract. Conversely, high inactivity levels may be associated with increased risk of cataract.

Participation In Specific Types Of Physical Activity Among US Adults, NHANES 1999 - 2006

Participation In Specific Types Of Physical Activity Among US Adults, NHANES 1999 - 2006

Physical Activity and Risk of All-Cause and Cardiovascular Disease Mortality in Diabetic Adults From Great Britain: Pooled Analysis of 10 Population-Based Cohorts

OBJECTIVE To examine associations between specific types of physical activity and all-cause and cardiovascular disease (CVD) mortality in a large nationally representative sample of adults with diabetes from Great Britain. RESEARCH DESIGN AND METHODS There were a total of 3,038 participants (675 deaths) with diabetes in the Health Survey for England and the Scottish Health Surveys conducted between 1997 and 2008. Participants aged ≥50 years at baseline were followed up for an average of 75.2 months for all-cause and CVD mortality. Data were collected on self-reported frequency, duration, and intensity of participation in sports and exercise, walking, and domestic physical activity, from which the number of MET-hours/week were derived. Sex-specific medians of time spent in each type of physical activity (for those physically active) were calculated, and Cox proportional hazards regression conducted to examine type-specific associations between the level of physical activity and all-cause and CVD mortality risk. RESULTS Inverse associations with all-cause and CVD mortality were observed for overall physical activity in a dose-response manner after adjusting for covariates. Compared with those who individuals were inactive, participants who reported some activity, but below the recommended amount, or who met the physical activity recommendations had a 26% (95% CI 39-11) and 35% (95% CI 47-21) lower all-cause mortality, respectively. Similar results were found for below/above median physical activity levels. Sports and exercise participation was inversely associated with all-cause (but not CVD) mortality, as were above average levels of walking. Domestic physical activity was not associated with mortality. CONCLUSIONS Moderate physical activity levels were associated with better prognosis in diabetic adults.

Understanding the Contexts of Adolescent Female Participation in Sport and Physical Activity

Purpose: Participation in physical activity (PA) is reported to decline in adolescence, particularly for girls. However, we do not know if this decline in PA is consistent across modes and settings or whether there are transfers of participation between modes and settings. Nor do we understand the changes in specific types of PA or the interaction between types of participation and different modes/settings. This study investigated contexts of PA participation for female adolescents at two life transition points. Method: A survey of 489 Year 7 and 243 Year 11 adolescent girls was conducted, incorporating a measure of overall PA level and participation rates in seven modes/settings and in specific types of sport and PA. Results: Less than half of the respondents met or exceeded the recommended level of moderate or vigorous PA—60 min or more—on the previous day, and there was no statistically significant difference in the proportions in Years 7 and 11 (39.5% vs. 45.9%; p>.05). However, older adolescents shifted their participation away from organized, competitive modes and settings toward nonorganized and noncompetitive modes and settings and individual types of PA. Conclusions: An understanding of the changes in PA modes and settings identified here can inform the planning of policies and implementation of programs for the promotion of PA by adolescent girls.

Environmental and Individual Correlates of Various Types of Physical Activity among Community-Dwelling Middle-Aged and Elderly Japanese

Recent studies have suggested the importance of the neighborhood environment in determining the specific type of physical activity. However, few studies on this topic have been undertaken in Japan. This study examined the association of three types of physical activity and their associations with individual and neighborhood environmental factors among middle-aged and elderly Japanese. Participants were 2,449 adults aged 40–69 living in Fujisawa city who had undergone health checkups and responded to our survey by mail. Individual factors, the International Physical Activity Questionnaire (long form), and its environmental module acted as inputs to the study. The adjusted odds ratios (ORs) of high levels of moderate-to-vigorous intensity leisure-time physical activity (LTPA), walking for active recreation, and transportation were calculated in relation to individual and neighborhood environmental factors through multiple logistic regression models. Not working and good self-rated health were significantly associated with a higher level of each physical activity outcome. According to the adjusted ORs, higher educational attainment, higher economic status, good access to exercise facilities, and owning motor vehicles were associated with longer LTPA time. However, different sets of factors were associated with longer walking times for recreation and transportation. The results suggest that diverse individual and neighborhood environmental characteristics are associated with different physical activity outcomes. Therefore, customizing environments to become activity-friendly is necessary to increase physical activity effectively among middle-aged and elderly Japanese.

Physical activity and health related quality of life

BackgroundResearch on the relationship between Health Related Quality of Life (HRQoL) and physical activity (PA), to date, have rarely investigated how this relationship differ across objective and subjective measures of PA. The aim of this paper is to explore the relationship between HRQoL and PA, and examine how this relationship differs across objective and subjective measures of PA, within the context of a large representative national survey from England.MethodsUsing a sample of 5,537 adults (40–60 years) from a representative national survey in England (Health Survey for England 2008), Tobit regressions with upper censoring was employed to model the association between HRQoL and objective, and subjective measures of PA controlling for potential confounders. We tested the robustness of this relationship across specific types of PA. HRQoL was assessed using the summary measure of health state utility value derived from the EuroQol-5 Dimensions (EQ-5D) whilst PA was assessed via subjective measure (questionnaire) and objective measure (accelerometer- actigraph model GT1M). The actigraph was worn (at the waist) for 7 days (during waking hours) by a randomly selected sub-sample of the HSE 2008 respondents (4,507 adults – 16 plus years), with a valid day constituting 10 hours. Analysis was conducted in 2010.ResultsFindings suggest that higher levels of PA are associated with better HRQoL (regression coefficient: 0.026 to 0.072). This relationship is consistent across different measures and types of PA although differences in the magnitude of HRQoL benefit associated with objective and subjective (regression coefficient: 0.047) measures of PA are noticeable, with the former measure being associated with a relatively better HRQoL (regression coefficient: 0.072).ConclusionHigher levels of PA are associated with better HRQoL. Using an objective measure of PA compared with subjective shows a relatively better HRQoL.

Role of physical activity in new onset fractures after percutaneous vertebroplasty

Increased mobility and physical activity after successful vertebral augmentation procedure might increase the risk of new-onset fractures. To determine whether new-onset fracture following vertebroplasty is associated with specific type of physical activity. A total of 107 patients underwent at least two procedures of percutaneous vertebroplasty. Among them, 30 patients who sustained a post-vertebroplasty fracture(s), were stratified by fracture-causing activity and examined the incidence of the initial and post-vertebroplasty fractures, time to post-vertebroplasty fractures, duration of anti-osteoporotic therapy, T-score, and body mass index. The following percentages correspond to patients with fractures sustained pre- and post-vertebroplasty, respectively; spontaneous fractures in 17% and 7% (P = 0.20), sitting in 7% and 3% (P = 0.50), walking or standing in 7% and 20% (P = 0.10), housework in 3% and 3% (P > 0.99), coughing or sneezing in 0% and 20% (P = 0.003), exercise in 7% and 17% (P = 0.20), lifting in 10% and 17% (P = 0.40) and falling in 50% and 13% (P = 0.002). Different levels of activity were not significantly associated with time to incidence of post-vertebroplasty fractures. Anti-osteoporotic medications were administered to 33% of patients before vertebroplasty and 37% after the vertebroplasty (P = 0.78); medications were administered to these groups for 16 and 25 months, respectively (P = 0.39). A significantly elevated risk of new onset fracture with increased physical activity was not identified. However, patients should be carefully counseled after vertebroplasty to optimize medical therapy for osteoporosis and also to use extreme care when engaging in even moderate physical activity.