scholarly journals Objectively Measured Baseline Physical Activity Patterns in Women in the mPED Trial: Cluster Analysis (Preprint)

2017 ◽  
Author(s):  
Yoshimi Fukuoka ◽  
Mo Zhou ◽  
Eric Vittinghoff ◽  
William Haskell ◽  
Ken Goldberg ◽  
...  

BACKGROUND Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or physical activity guidelines in general and, in particular, for women who are less likely to be physically active than men. OBJECTIVE The aims of this report are to identify clusters of women based on accelerometer-measured baseline raw metabolic equivalent of task (MET) values and a normalized version of the METs ≥3 data, and to compare sociodemographic and cardiometabolic risks among these identified clusters. METHODS A total of 215 women who were enrolled in the Mobile Phone Based Physical Activity Education (mPED) trial and wore an accelerometer for at least 8 hours per day for the 7 days prior to the randomization visit were analyzed. The k-means clustering method and the Lloyd algorithm were used on the data. We used the elbow method to choose the number of clusters, looking at the percentage of variance explained as a function of the number of clusters. RESULTS The results of the k-means cluster analyses of raw METs revealed three different clusters. The unengaged group (n=102) had the highest depressive symptoms score compared with the afternoon engaged (n=65) and morning engaged (n=48) groups (overall P<.001). Based on a normalized version of the METs ≥3 data, the moderate-to-vigorous physical activity (MVPA) evening peak group (n=108) had a higher body mass index (P=.03), waist circumference (P=.02), and hip circumference (P=.03) than the MVPA noon peak group (n=61). CONCLUSIONS Categorizing physically inactive individuals into more specific activity patterns could aid in creating timing, frequency, duration, and intensity of physical activity interventions for women. Further research is needed to confirm these cluster groups using a large national dataset. CLINICALTRIAL ClinicalTrials.gov NCT01280812; https://clinicaltrials.gov/ct2/show/NCT01280812 (Archived by WebCite at http://www.webcitation.org/6vVyLzwft)

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Yoshimi Fukuoka ◽  
Mo Zhou ◽  
Eric Vittinghoff ◽  
William Haskell ◽  
Ken Goldberg ◽  
...  

Background: Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or physical activity guidelines in general, and in particular for women, who are less likely to be physically active than men. Objective: The aims of this report are to identify clusters of women based on accelerometer measured raw metabolic equivalent values (METs) and a normalized version of the METs ≥ 3 data and to compare sociodemographic and cardio metabolic risks among these identified clusters. Methods: 215 women wearing an accelerometer for at least 8 hours per day for the last 7 days prior to the randomization visit were analyzed. A K-means clustering method, the Lloyd’s algorithm, was used. To choose the number of clusters, we used the elbow method, looking at the percentage of variance explained as a function of the number of clusters. Results: The results of k means cluster analyses of raw METs revealed three different clusters (Figure 1) and the Low Active Group (n=102) had the highest depressive symptoms score compared to the Afternoon Active (n=65) and Morning Active (n=48) groups (overall P < .001). Based on a normalized version of the METs ≥ 3 data Figure 2), the moderate to vigorous physical activity (MVPA) Evening Peak group (n = 108) had higher BMI, and waist and hip circumference than the MVPA Noon Peak group (n=61) (overall P =.03, .02, and .03 respectively). Conclusions: Categorizing physical inactive individuals into more specific activity patterns could aid in creating timing, frequency, duration, and intensity of physical activity interventions for women. Further research is needed to confirm these cluster groups using a large national dataset.


2013 ◽  
Vol 52 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Tadeja Volmut ◽  
Rado Pišot ◽  
Boštjan Šimunič

AbstractObjective:Today, a majority of the world population is dealing with physical inactivity and related health problems.Moreover, while various interventions are being adopted to increase children’s physical activity, these are mostly lessoreven un-successful. One of the possible reasons for this could be the wrong timing for their instalment. Therefore,the purpose of our study is to analyse between-day and within-day physical activity in 5- to 8-year old children.Methods:Using accelerometers we monitored 97 Slovenian children (49 males) for five consecutive days.Results:We found that 5- to 8- year old Slovenian children are physically active on average between 689 and795 counts per minute, with age and gender significant factors, however both with low effect size. The averagedata was in line with the trends of the world’s population. Time spent in moderate-to-vigorous physical activity wasnever measured in 5- to 8- year old children and we found it to be significantly longer than in slightly older children.Furthermore, we have defined the time periods with the lowest physical activity, which is in the morning, after thebreakfast. Additionally, there are some age differences, with 5-year olds being most active before lunch but lessphysically active in the early afternoon.Conclusions:In conclusion we have to emphasize and implicate to next generation studies to indicate time periodswith the lowest physical activity and to promote physical activity interventions in those periods to achieve the greatestimpact.


2018 ◽  
Vol 53 (16) ◽  
pp. 1013-1020 ◽  
Author(s):  
Barbara J Jefferis ◽  
Tessa J Parsons ◽  
Claudio Sartini ◽  
Sarah Ash ◽  
Lucy T Lennon ◽  
...  

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.


2019 ◽  
Vol 10 (4) ◽  
pp. 1031-1038 ◽  
Author(s):  
Sandahl H Nelson ◽  
Lauren S Weiner ◽  
Loki Natarajan ◽  
Barbara A Parker ◽  
Ruth E Patterson ◽  
...  

Abstract Despite many potential benefits of physical activity during and after breast cancer treatment, activity levels typically decline from pre- to posttreatment. Most previous research has relied on self-reported activity. The purpose of this study were to assess patterns of daily, to objectively measured physical activity throughout chemotherapy for breast cancer, and to identify predictors of physical activity patterns. Participants were given a Fitbit before starting chemotherapy and asked to wear it throughout chemotherapy. Restricted cubic splines assessed nonlinear patterns of Fitbit measured total physical activity (TPA) and moderate-to-vigorous physical activity (MVPA) throughout the duration of chemotherapy (mean = 17 weeks, standard deviation [SD] = 6.3). Mixed-effects regression models assessed the rate of physical activity decline. Regressions of subject-level random slope assessed predictors of the rate of physical activity decline on participant and cancer characteristics and self-reported physical and cognitive functioning. Participants (n = 32) were on average 50 years old; the majority had stage II breast cancer. MVPA declined linearly at a mean rate of 1.4 min/day (p = .002) for every 10% of chemotherapy completed, whereas TPA declined linearly at an average rate of 13.4 min/day (p = .0007) for every 10% of chemotherapy completed, until around halfway through chemotherapy, when activity rates leveled off. HER+ receptor status was associated with a greater rate of MVPA decline, β = 13.3, p = .04. This novel study of objectively measured daily MVPA throughout chemotherapy showed that most reductions in activity occurred during the first half of a course of chemotherapy. Targeting this early period of chemotherapy may be important for preventing declines in activity levels throughout chemotherapy.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Shiho Amagasa ◽  
Shigeru Inoue ◽  
Hiroshi Murayama ◽  
Takeo Fujiwara ◽  
Hiroyuki Kikuchi ◽  
...  

Abstract Background Physical inactivity can be associated adversely with markers of eye health, but little is known about how ophthalmic disease (OD) may be related to sedentary behaviour (SB) and different intensities of physical activity in older adults. We compared device-assessed time spent in SB, light-intensity PA (LPA), and moderate-to-vigorous physical activity (MVPA) between older adults with and without OD. Methods A randomly-recruited sample of 512 community-dwelling older adults (47% male; aged 65–84 years) in Japan wore a valid tri-axial accelerometer for seven consecutive days in 2017. Prevalence of OD was assessed by medical interview. Times spent in SB, LPA, and MVPA were compared between those with and without OD by compositional multivariate analysis of covariance, adjusting for potential confounders (gender, age, residential area, living arrangement, working, body mass index, self-rated health, and cognitive function). Results Overall, percent times spent in SB, LPA, and MVPA during waking hours were 51.0, 44.6, and 4.4, respectively; and, 167 (36.5%) had OD. Activity patterns differed significantly between those with and without OD: in those with OD, the proportion of time spent in MVPA relative to other behaviours was lower, and the proportion of time spent in SB relative to other behaviours was higher. Conclusions Older adults with OD were found to be less physically active than those without. Key messages While these cross-sectional findings need to be confirmed by evidence from prospective studies, the reciprocal influences of OD and inactivity in older adults should be addressed as scientific, clinical and public health considerations.


Author(s):  
Kristina Larsson ◽  
Örjan Ekblom ◽  
Lena V. Kallings ◽  
Maria Ekblom ◽  
Victoria Blom

A physically active lifestyle incurs health benefits and physically active individuals show reduced reactivity to psychosocial stressors. However, the findings are inconclusive and are based on self-reported physical activity and sedentary time. The present study aimed at studying the associations between psychological stressors (job demand, control, support, JD-C-S) and objectively measured physical activity (PA) on various intensities from sedentary (SED) to vigorous physical activity. The participants were 314 employees from a cross-sectional study. PA data were collected with the accelerometer ActiGraph GT3X (Pensacola, FL, USA), SED data with the inclinometer activPAL (PAL Technologies Ltd., Glasgow, Scotland, UK), and psychosocial stressors with a web questionnaire. Results showed that vigorous-intensity PA was negatively associated with demand (β −0.15, p < 0.05), even when adjusted for the covariates. SED was negatively associated to support (β −0.13, p < 0.05). Stress significantly moderated relations between support and sedentary time (β −0.12, p < 0.05). Moderate PA (MVPA) was negatively associated with demand, but only when controlling for overtime (β −0.13, p < 0.05). MVPA was also negatively associated with control (β −0.15, p < 0.05) but not when work engagement was included in the model. Being more physically active and spending less time sedentary may help to handle job situations with high demand and low support.


Author(s):  
Emerald G. Heiland ◽  
Örjan Ekblom ◽  
Emil Bojsen-Møller ◽  
Lisa-Marie Larisch ◽  
Victoria Blom ◽  
...  

The bi-directional, day-to-day associations between daytime physical activity and sedentary behavior, and nocturnal sleep, in office workers are unknown. This study investigated these associations and whether they varied by weekday or weekend day. Among 324 Swedish office workers (mean age 42.4 years; 33.3% men), moderate-to-vigorous physical activity (MVPA), and sedentary behaviors and sleep (total sleep time (TST) and sleep efficiency (SE)) were ascertained by using accelerometers (Actigraph GT3X) over 8 days. Multilevel linear mixed models were used to assess the bi-directional, day-to-day, within-person associations. Additional analyses stratified by weekend/weekday were performed. On average, participants spent 6% (57 min) of their day in MVPA and 59% (9.5 h) sedentary, and during the night, TST was 7 hours, and SE was 91%. More daytime sedentary behavior was associated with less TST that night, and reciprocally, more TST at night was associated with less sedentary behavior on the following weekday. Greater TST during the night was also associated with less MVPA the next day, only on weekdays. However, daytime MVPA was not associated with TST that night. Higher nighttime SE was associated with greater time spent sedentary and in MVPA on the following day, regardless if weekday or weekend day. Sleep may be more crucial for being physically active the following day than vice versa, especially on weekdays. Nevertheless, sedentary behavior’s relation with sleep time may be bi-directional. Office workers may struggle with balancing sleep and physical activity time.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1293-1293
Author(s):  
Teresia Mbogori

Abstract Objectives U.S. Department of Health and Human Services provides physical activity guidelines for Americans. Current guidelines recommend at least 30–60 minutes of moderate to vigorous physical activity 5 days a week. This level of physical activity is associated with reduction of many adverse health outcomes. This study sought to investigate the awareness and adherence to these guidelines by adults in the United States. Methods A secondary data analysis was conducted using the Health Information National Trends Survey (HINTS-5 Cycle 3), a nationally-representative survey administered by the National Cancer Institute (NCI). Data were collected between January and May 2019 among 5438 adults. Participants were asked if they were aware of government guidelines on physical activity, where they had heard this information and the action they took. In addition, participants were asked the number of days in a week they were physically active or exercised and for how long. Descriptive and Chi square statistics were used to determine the level of awareness and adherence to physical activity guidelines and the relationship between awareness and actions taken. Results About 36% of the participants stated that they had not heard about government recommendations on physical activity. 46% stated that they heard about the guidelines but did not make any changes to their physical activity routine while 5.3% stated that they increased their physical activity. Sources of this information were, television (34%), social media or internet (25%), health professionals or doctor (24%), and magazines (19%). About 54% of the participants reported that they were physically active 3 or more days per week while 26% stated that they did no physical activity. About 68.4% of those who reported exercising did so for 30–60 minutes while 15% exercised for more than 60 minutes per day. Chi square analysis showed that a higher percentage of those who reported not exercising at all also reported that they had not heard about the government recommendations of physical activity (X2 = 29.6; P &lt; 0.0001). Conclusions There still remains a considerable section of the population that is not aware of the government guidelines on physical activity. There is need for continued public education on the benefits of physical activity and the amount of physical activity that is likely to result in such benefits. Funding Sources None.


2018 ◽  
Vol 25 (3) ◽  
pp. 816-829 ◽  
Author(s):  
Lijuan Wang

The two types of school days that are followed in China are physical education and physical exercise days. This study objectively measured the moderate-to-vigorous physical activity (MVPA) of children during the recess, lunch break, leisure time, physical education and physical exercise segments of the physical education and physical exercise days. Moreover, this research compared the gender and grade-level differences in MVPA during each segment. A total of 316 children aged 6–13 years (M = 9.28, SD = 1.87) in Grades One to Five from three elementary schools participated in this study. Accelerometers were utilised to measure the MVPA of children. The participants accumulated the most MVPA time during physical education classes, whereas the least MVPA time was recorded during lunch break. The boys were significantly more physically active than girls during recess ( F (1, 316) = 4.449, p = 0.037, η2 = 0.030), lunch break ( F (1, 316) = 4.525, p = 0.035, η2 = 0.030) and leisure time ( F (1, 316) = 4.795, p = 0.030, η2 = 0.032) on physical education days, and during recess ( F (1, 316) = 5.968, p = 0.017, η2 = 0.079) and leisure time ( F (1, 316) = 5.246, p = 0.025, η2 = 0.070) on physical exercise days. Significant grade-level differences in the MVPA time were observed during recess ( F (2, 316) = 20.209, p < 0.001, η2 = 0.219) on physical education days and during physical exercise classes ( F (2, 316) = 3.662, p = 0.031, η2 = 0.095) and recess ( F (2, 316) = 4.326, p = 0.017, η2 = 0.110) on physical exercise days. Children in Grades Two and Three engaged in the most MVPA time during the majority of segments. In conclusion, physical activity interventions during less structured or unstructured segments are recommended. Special attention should likewise be provided to girls and children in Grades One, Four and Five to increase their MVPA.


Author(s):  
Shanhu Qiu ◽  
Xue Cai ◽  
Lijing Jia ◽  
Zilin Sun ◽  
Tongzhi Wu ◽  
...  

Abstract Aims Current physical activity guidelines emphasize little on light-intensity physical activity (LPA) in terms of reducing the risk of cardiovascular mortality. This meta-analysis aimed to bridge this gap by assessing their association using objectively measured LPA data. Methods and results Databases of PubMed and Scopus were searched to April 2020 for prospective cohort studies that reported the association of LPA assessed by activity monitors with the risk of cardiovascular mortality in the general population. Multivariable-adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were pooled using a random-effects model. Dose–response and subgroup analyses were also performed. Six cohort studies with seven datasets enrolling 13 960 participants were included. LPA was all measured by accelerometers. The HR of LPA per 30 min/day for cardiovascular mortality was pooled to be 0.80 (95% CI 0.67–0.96). This association was non-linearly shaped (Pnonlinearity &lt; 0.01) and unaffected by sex difference. Moreover, substituting LPA for sedentary time of 30 min/day lowered the risk of cardiovascular mortality by 16% (95% CI 0.73–0.96). Results showed further that LPA was inferior to moderate-to-vigorous physical activity in reducing the risk of cardiovascular mortality when performed with an equal time-length set at 30 min/day (HR 0.83 vs. 0.54, Pcomparison = 0.046), but became comparable if at an equal activity-amount set at 150 metabolic equivalents-min/day (HR 0.67 vs. 0.54, Pcomparison = 0.41). Conclusion LPA shows potential in reducing the risk of cardiovascular mortality, and interventions targeting at LPA improvement are worth being encouraged.


Sign in / Sign up

Export Citation Format

Share Document