scholarly journals Descriptive Epidemiology of Physical Activity in Adolescents

1994 ◽  
Vol 6 (4) ◽  
pp. 434-447 ◽  
Author(s):  
Russell R. Pate ◽  
Barbara J. Long ◽  
Greg Heath
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Large Population ◽  
Population Based ◽  
Activity Levels ◽  
Vigorous Activity ◽  
Descriptive Epidemiology ◽  
Physical Activity Guidelines ◽  
Objective Monitoring ◽  
Number Of Males

This paper reviews the descriptive epidemiology of physical activity in adolescents. Large population-based studies were reviewed, along with smaller studies using objective monitoring of physical activity. Estimates showed that adolescents engage in physical activity of any intensity for a mean of one hour per day. Approximately two thirds of males and one quarter of females participate in moderate to vigorous activity for 20 min 3 or more days per week. Activity levels decline with increasing age across adolescence, and this decrease is more marked in females than in males. Comparison of these data to physical activity guidelines for adolescents suggests the vast majority are meeting the guideline of accumulating physical activity. However, a substantial number of males, and the majority of females, are not meeting the guideline for moderate to vigorous physical activity.

Compliance With Vigorous Physical Activity Guidelines in Brazilian Adults: Prevalence and Correlates

2004 ◽  
Vol 1 (4) ◽  
pp. 389-397 ◽  
Author(s):  
Pedro Curi Hallal ◽  
Fernando Vinholes Siqueira
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Population Based ◽  
Short Version ◽  
Moderate Activity ◽  
Vigorous Activity ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Face To Face

Background:Physical inactivity is now a public health priority because of the high rates of inactivity observed worldwide. Achievement of physical activity guidelines could be attained with vigorous, moderate, or both activities combined. Our aim was to explore the prevalence and correlates of compliance with vigorous physical activity guidelines (CVAG).Methods:Cross-sectional population-based survey in Pelotas, a southern Brazilian city, including 3182 adults (≥ 20 years). The short version of the International Physical Activity Questionnaire was applied by face-to-face interviews. CVAG was defined as at least 60 min/wk of vigorous activity.Results:Only 29% of the subjects achieved the vigorous activity threshold. Women, older adults, individuals with low BMI (< 18.5 kg/m2) or obese (≥ 30 kg/m2) were less likely to present CVAG. Compliance with moderate activity guidelines was associated with a higher likelihood of CVAG.Conclusions:Concurrent promotion of moderate and vigorous physical activities is warranted in terms of public health.

scholarly journals Objectively measured physical activity, sedentary behaviour and all-cause mortality in older men: does volume of activity matter more than pattern of accumulation?

2018 ◽  
Vol 53 (16) ◽  
pp. 1013-1020 ◽  
Author(s):  
Barbara J Jefferis ◽  
Tessa J Parsons ◽  
Claudio Sartini ◽  
Sarah Ash ◽  
Lucy T Lennon ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Older Men ◽  
Population Based ◽  
Physical Activity Guidelines ◽  
All Cause Mortality ◽  
Sedentary Breaks ◽  
Objectively Measured

ObjectivesTo understand how device-measured sedentary behaviour and physical activity are related to all-cause mortality in older men, an age group with high levels of inactivity and sedentary behaviour.MethodsProspective population-based cohort study of men recruited from 24 UK General Practices in 1978–1980. In 2010–2012, 3137 surviving men were invited to a follow-up, 1655 (aged 71–92 years) agreed. Nurses measured height and weight, men completed health and demographic questionnaires and wore an ActiGraph GT3x accelerometer. All-cause mortality was collected through National Health Service central registers up to 1 June 2016.ResultsAfter median 5.0 years’ follow-up, 194 deaths occurred in 1181 men without pre-existing cardiovascular disease. For each additional 30 min in sedentary behaviour, or light physical activity (LIPA), or 10 min in moderate to vigorous physical activity (MVPA), HRs for mortality were 1.17 (95% CI 1.10 to 1.25), 0.83 (95% CI 0.77 to 0.90) and 0.90 (95% CI 0.84 to 0.96), respectively. Adjustments for confounders did not meaningfully change estimates. Only LIPA remained significant on mutual adjustment for all intensities. The HR for accumulating 150 min MVPA/week in sporadic minutes (achieved by 66% of men) was 0.59 (95% CI 0.43 to 0.81) and 0.58 (95% CI 0.33 to 1.00) for accumulating 150 min MVPA/week in bouts lasting ≥10 min (achieved by 16% of men). Sedentary breaks were not associated with mortality.ConclusionsIn older men, all activities (of light intensity upwards) were beneficial and accumulation of activity in bouts ≥10 min did not appear important beyond total volume of activity. Findings can inform physical activity guidelines for older adults.

scholarly journals Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study)

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Tim Lindsay ◽  
Kate Westgate ◽  
Katrien Wijndaele ◽  
Stefanie Hollidge ◽  
Nicola Kerrison ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Vigorous Physical Activity ◽  
Large Population ◽  
Population Based ◽  
Normal Weight ◽  
Physical Activity Energy Expenditure ◽  
Cardiometabolic Disorders ◽  
Sociodemographic Correlates ◽  
Activity Energy

Abstract Background Physical activity (PA) plays a role in the prevention of a range of diseases including obesity and cardiometabolic disorders. Large population-based descriptive studies of PA, incorporating precise measurement, are needed to understand the relative burden of insufficient PA levels and to inform the tailoring of interventions. Combined heart and movement sensing enables the study of physical activity energy expenditure (PAEE) and intensity distribution. We aimed to describe the sociodemographic correlates of PAEE and moderate-to-vigorous physical activity (MVPA) in UK adults. Methods The Fenland study is a population-based cohort study of 12,435 adults aged 29–64 years-old in Cambridgeshire, UK. Following individual calibration (treadmill), participants wore a combined heart rate and movement sensor continuously for 6 days in free-living, from which we derived PAEE (kJ•day− 1•kg− 1) and time in MVPA (> 3 & > 4 METs) in bouts greater than 1 min and 10 min. Socio-demographic information was self-reported. Stratum-specific summary statistics and multivariable analyses were performed. Results Women accumulated a mean (sd) 50(20) kJ•day− 1•kg− 1 of PAEE, and 83(67) and 33(39) minutes•day− 1 of 1-min bouted and 10-min bouted MVPA respectively. By contrast, men recorded 59(23) kJ•day− 1•kg− 1, 124(84) and 60(58) minutes•day− 1. Age and BMI were also important correlates of PA. Association with age was inverse in both sexes, more strongly so for PAEE than MVPA. Obese individuals accumulated less PA than their normal-weight counterparts, whether considering PAEE or allometrically-scaled PAEE (− 10 kJ•day− 1•kg− 1 or − 15 kJ•day− 1•kg-2/3 in men). Higher income and manual work were associated with higher PA; manual workers recorded 13–16 kJ•kg− 1•day− 1 more PAEE than sedentary counterparts. Overall, 86% of women and 96% of men accumulated a daily average of MVPA (> 3 METs) corresponding to 150 min per week. These values were 49 and 74% if only considering bouts > 10 min (15 and 31% for > 4 METs). Conclusions PA varied by age, sex and BMI, and was higher in manual workers and those with higher incomes. Light physical activity was the main driver of PAEE; a component of PA that is currently not quantified as a target in UK guidelines.

scholarly journals Temporal trends in physical activity levels across more than a decade – a national physical activity surveillance system among Norwegian children and adolescents

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jostein Steene-Johannessen ◽  
Sigmund Alfred Anderssen ◽  
Elin Kolle ◽  
Bjørge Herman Hansen ◽  
Mari Bratteteig ◽  
...  
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Large Population ◽  
Temporal Trends ◽  
Population Based ◽  
School Level ◽  
Cluster Sampling ◽  
Activity Levels ◽  
Gender And Age ◽  
Nationally Representative

Abstract Background There is a scarcity of device measured data on temporal changes in physical activity (PA) in large population-based samples. The purpose of this study is to describe gender and age-group specific temporal trends in device measured PA between 2005, 2011 and 2018 by comparing three nationally representative samples of children and adolescents. Methods Norwegian children and adolescents (6, 9 and 15-year-olds) were invited to participate in 2005 (only 9- and 15-year-olds), 2011 and 2018 through cluster sampling (schools primary sampling units). A combined sample of 9500 individuals participated. Physical activity was assessed by hip worn accelerometers, with PA indices including overall PA (counts per minute), moderate-to-vigorous intensity PA (MVPA), and PA guideline adherence (achieving on average ≥ 60 min/day of moderate-to-vigorous PA). Random-effects linear regressions and logistic regressions adjusted for school-level clusters were used to analyse temporal trends. Findings In total, 8186 of the participating children and adolescents provided valid PA data. Proportions of sufficiently active 6-year-olds were almost identical in 2011 and 2018; boys 95% (95% CI: 92, 97) and 94% (95%CI: 92, 96) and girls 86% (95% CI: 83, 90) and 86% (95% CI: 82, 90). Proportions of sufficiently active 15-year-olds in 2005 and 2018 were 52% (95% CI: 46, 59) and 55% (95% CI: 48, 62) in boys, and 48% (95% CI: 42, 55) and 44% (95% CI: 37, 51) in girls, respectively, resulting from small differences in min/day of MVPA. Among 9-year-old boys and girls, proportions of sufficiently active declined between 2005 and 2018, from 90% (95% CI: 87, 93) to 84% (95% CI: 80, 87)) and 74% (95% CI: 69, 79) to 68% (95% CI: 64, 72), respectively. This resulted from 9.7 min/day less MVPA in boys (95% CI: − 14.8, − 4.7; p < 0.001) and 3.2 min/day less MVPA (95% CI: − 7.0, 0.7; p = 0.106) in girls. Conclusions PA levels have been fairly stable between 2005, 2011 and 2018 in Norwegian youth. However, the declining PA level among 9-year-old boys and the low proportion of 15-year-olds sufficiently active is concerning. To evaluate the effect of, and plan for new, PA promoting strategies, it is important to ensure more frequent, systematic, device-based monitoring of population-levels of PA.

scholarly journals Physical activity phenotyping with activity bigrams, and their association with BMI

2017 ◽  
Author(s):  
Louise AC Millard ◽  
Kate Tilling ◽  
Debbie A Lawlor ◽  
Peter A Flach ◽  
Tom R Gaunt
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Moderate Activity ◽  
List Type ◽  
Activity Levels ◽  
Vigorous Activity ◽  
Parents And Children ◽  
Health Advice ◽  
Avon Longitudinal Study

ABSTRACTBackgroundAnalysis of physical activity usually focuses on a small number of summary statistics derived from accelerometer recordings: average counts per minute, and the proportion of time spent in moderate-vigorous physical activity or in sedentary behaviour. We show how bigrams, a concept from the field of text mining, can be used to describe how a person’s activity levels change across (brief) time points. These variables can, for instance, differentiate between two people with the same time in moderate activity, where one person often stays in moderate activity from one moment to the next and the other does not.MethodsWe use data on 4810 participants of the Avon Longitudinal Study of Parents and Children (ALSPAC). We generate a profile of bigram frequencies for each participant and test the association of each frequency with body mass index (BMI), as an exemplar.ResultsWe found several associations between changes in bigram frequencies and BMI. For instance, a 1 standard deviation decrease in the number of adjacent minutes in sedentary then moderate activity (or vice versa), with a corresponding increase in the number of adjacent minutes in moderate then vigorous activity (or vice versa), was associated with a 2.36 kg/m2 lower BMI [95% CI: -3.47, -1.26], after accounting for the time spent at sedentary, low, moderate and vigorous activity.ConclusionsActivity bigrams are novel variables that capture how a person’s activity changes from one moment to the next. These variables can be used to investigate how sequential activity patterns associate with other traits.Key MessagesEpidemiologists typically use only a small number of variables to analyse the association of physical activity with other traits, such as the average counts per minute and the proportion of time spent in moderate-vigorous physical activity or being sedentary.We demonstrate how activity bigrams can be used as a set of interpretable variables describing how a person’s activity levels change from one moment to the next.Testing the association of activity bigrams with exposures or outcomes can help us gain further understanding of how physical activity is associated with other traits; with further research they might provide evidence for more refined public health advice.

scholarly journals Perceptions of Visualizing Physical Activity as a 3D-Printed Object: Formative Study (Preprint)

2018 ◽  
Author(s):  
Sam Graeme Morgan Crossley ◽  
Melitta Anne McNarry ◽  
Joanne Hudson ◽  
Parisa Eslambolchilar ◽  
Zoe Knowles ◽  
...  
Keyword(s):  
Physical Activity ◽  
3D Printing ◽  
3D Model ◽  
Vigorous Physical Activity ◽  
3D Models ◽  
Primary School Children ◽  
Activity Levels ◽  
Activity Data ◽  
Physical Activity Guidelines ◽  
Technological Advances

BACKGROUND The UK government recommends that children engage in moderate-to-vigorous physical activity for at least 60 min every day. Despite associated physiological and psychosocial benefits of physical activity, many youth fail to meet these guidelines partly due to sedentary screen-based pursuits displacing active behaviors. However, technological advances such as 3D printing have enabled innovative methods of visualizing and conceptualizing physical activity as a tangible output. OBJECTIVE The aim of this study was to elicit children’s, adolescents’, parents’, and teachers’ perceptions and understanding of 3D physical activity objects to inform the design of future 3D models of physical activity. METHODS A total of 28 primary school children (aged 8.4 [SD 0.3] years; 15 boys) and 42 secondary school adolescents (aged 14.4 [SD 0.3] years; 22 boys) participated in semistructured focus groups, with individual interviews conducted with 8 teachers (2 male) and 7 parents (2 male). Questions addressed understanding of the physical activity guidelines, 3D model design, and both motivation for and potential engagement with a 3D physical activity model intervention. Pupils were asked to use Play-Doh to create and describe a model that could represent their physical activity levels (PAL). Data were transcribed verbatim and thematically analyzed, and key emergent themes were represented using pen profiles. RESULTS Pupils understood the concept of visualizing physical activity as a 3D object, although adolescents were able to better analyze and critique differences between low and high PAL. Both youths and adults preferred a 3D model representing a week of physical activity data when compared with other temporal representations. Furthermore, all participants highlighted that 3D models could act as a motivational tool to enhance youths’ physical activity. From the Play-Doh designs, 2 key themes were identified by pupils, with preferences indicated for models of abstract representations of physical activity or bar charts depicting physical activity, respectively. CONCLUSIONS These novel findings highlight the potential utility of 3D objects of physical activity as a mechanism to enhance children’s and adolescents’ understanding of, and motivation to increase, their PAL. This study suggests that 3D printing may offer a unique strategy for promoting physical activity in these groups.

scholarly journals Descriptive epidemiology of physical activity energy expenditure in UK adults. The Fenland Study

2019 ◽  
Author(s):  
Tim Lindsay ◽  
Kate Westgate ◽  
Katrien Wijndaele ◽  
Stefanie Hollidge ◽  
Nicola Kerrison ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Vigorous Physical Activity ◽  
Large Population ◽  
Population Based ◽  
Normal Weight ◽  
Physical Activity Energy Expenditure ◽  
Cardiometabolic Disorders ◽  
Sociodemographic Correlates ◽  
Activity Energy

AbstractBackgroundPhysical activity (PA) plays a role in the prevention of a range of diseases including obesity and cardiometabolic disorders. Large population-based descriptive studies of PA, incorporating precise measurement, are needed to understand the relative burden of insufficient PA levels and to inform the tailoring of interventions. Combined heart and movement sensing enables the study of physical activity energy expenditure (PAEE) and intensity distribution. We aimed to describe the sociodemographic correlates of PAEE and moderate-to-vigorous physical activity (MVPA) in UK adults.MethodsThe Fenland study is a population-based cohort study of 12,435 adults aged 29–64 years-old in Cambridgeshire, UK. Following individual calibration (treadmill), participants wore a combined heart rate and movement sensor continuously for 6 days in free-living, from which we derived PAEE (kJ•day-1•kg-1) and time in MVPA (>3 & >4 METs) in bouts greater than 1 minute and 10 minutes. Socio-demographic information was self-reported. Stratum-specific summary statistics and multivariable analyses were performed.ResultsWomen accumulated a mean(sd) 50(20) kJ•day-1•kg-1 of PAEE, and 83(67) and 33(39) minutes•day-1 of 1-min bouted and 10-min bouted MVPA respectively. By contrast, men recorded 59(23) kJ•day-1•kg-1, 124(84) and 60(58) minutes•day-1. Age and BMI were also important correlates of PA. Association with age was inverse in both sexes, more strongly so for PAEE than MVPA. Obese individuals accumulated less PA than their normal-weight counterparts whether considering PAEE or allometrically-scaled PAEE (-10 kJ•day-1•kg-1 vs -15 kJ•day-1•kg-2/3 in men). Higher income and manual work were associated with higher PA; manual workers recorded 13-16 kJ•kg-1•day-1 more PAEE than sedentary counterparts. Overall, 86% of women and 96% of men accumulated 21.4 min•day-1 of MVPA (>3 METs) on average (150 minutes per week). These values were 49% and 74% if only considering bouts >10 min (15% and 31% for >4 METs).ConclusionsPA varied by age, sex and BMI, and was higher in manual workers and those with higher incomes. Light physical activity was the main driver of PAEE; a component of PA that is currently not quantified as a target in UK guidelines.

scholarly journals The relationship between sleep habits, lifestyle factors, and achieving guideline-recommended physical activity levels in ten-to-fourteen-year-old Japanese children: A cross-sectional study

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242517
Author(s):  
Takumi Aoki ◽  
Kazuhiko Fukuda ◽  
Chiaki Tanaka ◽  
Yasuko Kamikawa ◽  
Nobuhiro Tsuji ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Eighth Grade ◽  
Physical Activity Guideline ◽  
Activity Levels ◽  
Sleep Habits ◽  
Japanese Children ◽  
Cross Sectional ◽  
Physical Activity Guidelines

The current focus of meeting the physical activity guidelines for children and young people include preventing conditions such as high blood cholesterol, high blood pressure, metabolic syndrome, obesity, low bone density, depression, and injuries. However, the relationship between sleep habits and meeting physical activity guidelines is still unclear. This study aimed to assess this relationship among fifth- to eighth-grade (ages 10–14) Japanese children. This cross-sectional study included 3,123 children (boys: 1,558, girls: 1,565, mean age: 12.5 ± 1.2 years). Questionnaires were used to assess parameters such as moderate-to-vigorous physical activity per day, school and weekend night sleep durations, social jetlag, daytime sleepiness, napping, screen time, and breakfast intake. Participants were divided into an achievement and a non-achievement group depending on their physical activity guideline achievement status (i.e., whether they met the children’s physical activity guideline of 60 min or more of moderate-to-vigorous physical activity per day). Then, to determine the sleep habits in relation to the children’s achievement of guideline-recommended physical activity levels, multivariate logistic regression analyses were conducted. In fifth- and sixth-grade (ages 10–12) boys, an inverse association was observed between physical activity guideline achievement and daytime sleepiness. In seventh- and eighth-grade (ages 12–14) boys, physical activity guideline achievement was inversely associated with social jetlag and skipping breakfast. Additionally, in seventh- and eighth-grade girls, physical activity guideline achievement was inversely associated with inappropriate sleep duration on weekends and screen time. These results suggest that meeting the physical activity guideline is related to favorable sleep habits in Japanese children. However, their relevance may differ by school type and gender.

scholarly journals Joint associations between objectively measured physical activity volume and intensity with body-fatness. The Fenland Study

2021 ◽  
Author(s):  
Tim Lindsay ◽  
Katrien Wijndaele ◽  
Kate Westgate ◽  
Paddy Dempsey ◽  
Tessa Strain ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Large Population ◽  
Population Based ◽  
Fat Percentage ◽  
Body Fatness ◽  
Light Activity ◽  
Intense Activity ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

AbstractBackground/ObjectivesPhysical activity energy expenditure (PAEE) represents the total volume of all physical activity. This can be accumulated as different underlying intensity profiles. Although volume and intensity have been studied in isolation, less is known about their joint association with health. We examined this association with body-fatness in a population-based sample of middle-aged British women and men.Methods6148 women and 5320 men from the Fenland study with objectively-measured physical activity from individually calibrated combined heart rate and movement sensing and DXA-derived body-fat percentage (BF%) were included in the analyses. We used linear and compositional isocaloric substitution analysis to examine associations of PAEE and its intensity composition with body-fatness. Sex-stratified models were adjusted for socio-economic and dietary covariates.ResultsPAEE was inversely associated with body-fatness in women (beta=-0.16 (95%CI: −0.17; −0.15) BF% per kJ·day-1·kg-1) and men (beta=−0.09 (95%CI: −0.10; −0.08) BF% per kJ·day-1·kg-1). Intensity composition was significantly associated with body-fatness, beyond that of PAEE; the reallocation of energy to vigorous physical activity (>6 METs) from other intensities was associated with less body-fatness, whereas light activity (1.5-3 METs) was positively associated. However, light activity was the main driver of overall PAEE volume, and the relative importance of intensity was marginal compared to that of volume; the difference between PAEE in tertile 1 and 2 in women was associated with 3 percentage-point lower BF%. Higher vigorous physical activity in the same group to the maximum observed value was associated with 1 percentage-point lower BF%.ConclusionsIn this large, population-based cohort study with objective measures, PAEE was inversely associated with body-fatness. Beyond the PAEE association, greater levels of intense activity were also associated with lower body-fatness. This contribution was marginal relative to PAEE. These findings support current guidelines for obesity prevention which emphasise moving more over the specific intensity or duration of that activity.

Quantifying Physical Activity and the Associated Barriers for Women With Ovarian Cancer

2015 ◽  
Vol 25 (4) ◽  
pp. 577-583 ◽  
Author(s):  
David Mizrahi ◽  
Fiona Naumann ◽  
Carolyn Broderick ◽  
Juliane Samara ◽  
Mary Ryan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Ovarian Cancer ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Activity Levels ◽  
Behavioral Strategies ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Physical Activity Adherence ◽  
Barriers To Physical Activity

ObjectiveThe purpose of this study was to quantify physical activity levels and determine the barriers to physical activity for women with ovarian cancer.Materials and MethodsWomen with ovarian cancer from 3 oncology clinics enrolled in the cross-sectional study. Physical activity and barriers to physical activity were measured using the International Physical Activity Questionnaire and Perceived Physical Activity Barriers scale, respectively. Demographic, medical, and anthropometric data were obtained from medical records.ResultsNinety-five women (response rate, 41%), with a mean (SD) age of 61 (10.6) years, a body mass index of 26.5 (6.8) kg/m2, and 36.6 (28.2) months since diagnosis, participated in the study. The majority of the participants had stage III (32%) or IV (32%) ovarian cancer, were undergoing chemotherapy (41%), and had a history of chemotherapy (93%). The majority of the participants reduced their physical activity after diagnosis, with 19% meeting recommended physical activity guidelines. The participants undergoing treatment reported lower moderate-vigorous physical activity compared with those not undergoing active treatment (mean [SD], 42 [57] vs 104 [119] min/wk; P < 0.001) and less total physical activity barriers (mean [SD], 49 vs 47; P > 0.4). The greatest barriers to physical activity included fatigue (37.8%), exercise not in routine (34.7%), lack of self-discipline (32.6%), and procrastination (27.4%).ConclusionsWomen with ovarian cancer have low levels of physical activity. There are disease-specific general barriers to physical activity participation. The majority of the participants reduced their physical activity after diagnosis, with these patients reporting a higher number of total barriers. Behavioral strategies are required to increase physical activity adherence in this population to ensure that recommended guidelines are met to achieve the emerging known benefits of exercise oncology.

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