scholarly journals Changes in Device-Measured Physical Activity Patterns in U.K. Adults Related to the First COVID-19 Lockdown

2021 ◽  
pp. 1-10
Author(s):  
Andrew P. Kingsnorth ◽  
Mhairi Patience ◽  
Elena Moltchanova ◽  
Dale W. Esliger ◽  
Nicola J. Paine ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Sharp Decrease ◽  
Credible Interval ◽  
Future Research ◽  
Light Activity ◽  
Spread Of Infection ◽  
Study Participants ◽  
Key Worker

The response to COVID-19 resulted in behavioral restrictions to tackle the spread of infection. Initial data indicates that step counts were impacted by lockdown restrictions; however, there is little evidence regarding changes of light and moderate to vigorous physical activity (MVPA) behavioral intensities. In this study, participants were asked to provide longitudinal wearable data from Fitbit devices over a period of 30 weeks, from December 2019 to June 2020. Self-assessed key worker status was captured, along with wearable estimates of steps, light activity, and MVPA. Bayesian change point analyses of data from 97 individuals found that there was a sharp decrease of 1,473 steps (95% credible interval [CI] [−2,218, −709]) and light activity minutes (41.9; 95% CI [−54.3, −29.3]), but an increase in MVPA minutes (11.7; 95% CI [2.9, 19.4]) in the mean weekly totals for nonkey workers. For the key workers, the total number of steps (207; 95% CI [−788, 1,456]) and MVPA minutes increased (20.5; 95% CI [12.6, 28.3]) but light activity decreased by an average of 46.9 min (95% CI [−61.2, −31.8]). Interestingly, the change in steps was commensurate with that observed during Christmas (1,458; 95% CI [−2,286, −554]) for nonkey workers and behavioral changes occurred at different time points and rates depending on key worker status. Results indicate that there were clear behavioral modifications before and during the initial COVID-19 lockdown period, and future research should assess whether any behavioral modifications were sustained over time.

scholarly journals Accounting for Sitting and Moving: An Analysis of Sedentary Behavior in Mass Media Campaigns

2015 ◽  
Vol 12 (9) ◽  
pp. 1198-1204 ◽  
Author(s):  
Emily Knox ◽  
Stuart Biddle ◽  
Dale W. Esliger ◽  
Joe Piggin ◽  
Lauren Sherar
Keyword(s):  
Physical Activity ◽  
Mass Media ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Lessons Learned ◽  
Future Research ◽  
Health Campaigns ◽  
Media Campaigns ◽  
Light Activity ◽  
Health Related

Background:Mass media campaigns are an important tool for promoting health-related physical activity. The relevance of sedentary behavior to public health has propelled it to feature prominently in health campaigns across the world. This study explored the use of messages regarding sedentary behavior in health campaigns within the context of current debates surrounding the association between sedentary behavior and health, and messaging strategies to promote moderate-to-vigorous physical activity (MVPA).Methods:A web-based search of major campaigns in the United Kingdom, United States, Canada, and Australia was performed to identify the main campaign from each country. A directed content analysis was then conducted to analyze the inclusion of messages regarding sedentary behavior in health campaigns and to elucidate key themes. Important areas for future research were illustrated.Results:Four key themes from the campaigns emerged: clinging to sedentary behavior guidelines, advocating reducing sedentary behavior as a first step on the activity continuum and the importance of light activity, confusing the promotion of MVPA, and the demonization of sedentary behavior.Conclusions:Strategies for managing sedentary behavior as an additional complicating factor in health promotion are urgently required. Lessons learned from previous health communication campaigns should stimulate research to inform future messaging strategies.

scholarly journals Annual rhythms in adults’ lifestyle and health (ARIA): protocol for a 12-month longitudinal study examining temporal patterns in weight, activity, diet, and wellbeing in Australian adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rachel G. Curtis ◽  
Timothy Olds ◽  
François Fraysse ◽  
Dorothea Dumuid ◽  
Gilly A. Hendrie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Intervention Strategy ◽  
Temporal Patterns ◽  
Trial Registration ◽  
Multi Level

Abstract Background Almost one in three Australian adults are now obese, and the rate continues to rise. The causes of obesity are multifaceted and include environmental, cultural and lifestyle factors. Emerging evidence suggests there may be temporal patterns in weight gain related, for example, to season and major festivals such as Christmas, potentially due to changes in diet, daily activity patterns or both. The aim of this study is to track the annual rhythm in body weight, 24 h activity patterns, dietary patterns, and wellbeing in a cohort of Australian adults. In addition, through data linkage with a concurrent children’s cohort study, we aim to examine whether changes in children’s body mass index, activity and diet are related to those of their parents. Methods A community-based sample of 375 parents aged 18 to 65 years old, residing in or near Adelaide, Australia, and who have access to a Bluetooth-enabled mobile device or a computer and home internet, will be recruited. Across a full year, daily activities (minutes of moderate to vigorous physical activity, light physical activity, sedentary behaviour and sleep) will be measured using wrist-worn accelerometry (Fitbit Charge 3). Body weight will be measured daily using Fitbit wifi scales. Self-reported dietary intake (Dietary Questionnaire for Epidemiological Studies V3.2), and psychological wellbeing (WHOQOL-BREF and DASS-21) will be assessed eight times throughout the 12-month period. Annual patterns in weight will be examined using Lowess curves. Associations between changes in weight and changes in activity and diet compositions will be examined using repeated measures multi-level models. The associations between parent’s and children’s weight, activity and diet will be investigated using multi-level models. Discussion Temporal factors, such as day type (weekday or weekend day), cultural celebrations and season, may play a key role in weight gain. The aim is to identify critical opportunities for intervention to assist the prevention of weight gain. Family-based interventions may be an important intervention strategy. Trial registration Australia New Zealand Clinical Trials Registry, identifier ACTRN12619001430123. Prospectively registered on 16 October 2019.

scholarly journals Feasibility of a Digital Intervention to Promote Healthy Weight Management among Postpartum African American/Black Women

2021 ◽  
Vol 18 (4) ◽  
pp. 2178
Author(s):  
Melissa A. Napolitano ◽  
Cherise B. Harrington ◽  
Loral Patchen ◽  
Lindsey P. Ellis ◽  
Tony Ma ◽  
...  
Keyword(s):  
Physical Activity ◽  
African American ◽  
Black Women ◽  
Vegetable Intake ◽  
Vigorous Physical Activity ◽  
Future Research ◽  
Healthy Weight ◽  
Weight Outcomes ◽  
Postpartum Weight ◽  
American Black

The study aim was to implement and evaluate the feasibility of a culturally informed (“BeFAB”) app for African American/Black women to address postpartum weight. Women (n = 136; mean age = 27.8 ± 5.4; mean BMI = 32.5 ± 4.3) were recruited from postpartum units, and randomly assigned to receive BeFAB (n = 65) or usual care (n = 71) for 12 weeks. App content included didactic lessons delivered via a virtual coach, app-based messages, goal setting and tracking, and edutainment videos. Feasibility outcomes included recruitment, retention and engagement, and self-reported acceptability. Behavioral (i.e., diet, physical activity), psychosocial (i.e., stress, coping, support, self-efficacy) and weight outcomes were also examined. Recruitment goals were met, but attrition was high, with 56% retention at 12 weeks. Approximately half of participants accessed the app and set a goal ≥one time, but <10% reported achieving a nutrition or activity goal. Among study completers, ≥60% found the app content at least somewhat helpful. Within-group changes for BeFAB among completers were found for increased moderate-to-vigorous physical activity and decreased fruit/vegetable intake and weight. Findings indicate initial feasibility of recruiting postpartum women to participate in a digital healthy body weight program but limited use, reflecting low acceptability and challenges in engagement and retention. Future research is needed on strategies to engage and retain participants in postpartum interventions.

scholarly journals Feelings of safety during daytime walking: associations with mental health, physical activity and cardiometabolic health in high vacancy, low-income neighborhoods in Detroit, Michigan

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amber L. Pearson ◽  
Kimberly A. Clevenger ◽  
Teresa H. Horton ◽  
Joseph C. Gardiner ◽  
Ventra Asana ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Low Income ◽  
Spatial Data ◽  
Vigorous Physical Activity ◽  
Future Research ◽  
Cardiometabolic Health ◽  
Multilevel Regression ◽  
Critical Pathway ◽  
Perceived Safety

Abstract Introduction Individuals living in low-income neighborhoods have disproportionately high rates of obesity, Type-2 diabetes, and cardiometabolic conditions. Perceived safety in one’s neighborhood may influence stress and physical activity, with cascading effects on cardiometabolic health. Methods In this study, we examined relationships among feelings of safety while walking during the day and mental health [perceived stress (PSS), depression score], moderate-to-vigorous physical activity (PA), Body Mass Index (BMI), and hemoglobin A1C (A1C) in low-income, high-vacancy neighborhoods in Detroit, Michigan. We recruited 69 adults who wore accelerometers for one week and completed a survey on demographics, mental health, and neighborhood perceptions. Anthropometrics were collected and A1C was measured using A1CNow test strips. We compiled spatial data on vacant buildings and lots across the city. We fitted conventional and multilevel regression models to predict each outcome, using perceived safety during daytime walking as the independent variable of interest and individual or both individual and neighborhood-level covariates (e.g., number of vacant lots). Last, we examined trends in neighborhood features according to perceived safety. Results In this predominantly African American sample (91%), 47% felt unsafe during daytime walking. Feelings of perceived safety significantly predicted PSS (β = − 2.34, p = 0.017), depression scores (β = − 4.22, p = 0.006), and BMI (β = − 2.87, p = 0.01), after full adjustment. For PA, we detected a significant association for sex only. For A1C we detected significant associations with blighted lots near the home. Those feeling unsafe lived in neighborhoods with higher park area and number of blighted lots. Conclusion Future research is needed to assess a critical pathway through which neighborhood features, including vacant or poor-quality green spaces, may affect obesity—via stress reduction and concomitant effects on cardiometabolic health.

scholarly journals mHealth Interventions to Address Physical Activity and Sedentary Behavior in Cancer Survivors: A Systematic Review

2021 ◽  
Vol 18 (11) ◽  
pp. 5798
Author(s):  
Selina Khoo ◽  
Najihah Mohbin ◽  
Payam Ansari ◽  
Mahfoodha Al-Kitani ◽  
Andre Matthias Müller
Keyword(s):  
Physical Activity ◽  
Cancer Survivors ◽  
Sedentary Behavior ◽  
Total Activity ◽  
Personal Contact ◽  
Future Research ◽  
Controlled Trials ◽  
Cancer Types ◽  
Study Participants ◽  
Multicomponent Interventions

This review aimed to identify, evaluate, and synthesize the scientific literature on mobile health (mHealth) interventions to promote physical activity (PA) or reduce sedentary behavior (SB) in cancer survivors. We searched six databases from 2000 to 13 April 2020 for controlled and non-controlled trials published in any language. We conducted best evidence syntheses on controlled trials to assess the strength of the evidence. All 31 interventions included in this review measured PA outcomes, with 10 of them also evaluating SB outcomes. Most study participants were adults/older adults with various cancer types. The majority (n = 25) of studies implemented multicomponent interventions, with activity trackers being the most commonly used mHealth technology. There is strong evidence for mHealth interventions, including personal contact components, in increasing moderate-to-vigorous intensity PA among cancer survivors. However, there is inconclusive evidence to support mHealth interventions in increasing total activity and step counts. There is inconclusive evidence on SB potentially due to the limited number of studies. mHealth interventions that include personal contact components are likely more effective in increasing PA than mHealth interventions without such components. Future research should address social factors in mHealth interventions for PA and SB in cancer survivors.

scholarly journals Longitudinal Changes in Sitting Patterns, Physical Activity, and Health Outcomes in Adolescents

Children ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
Ana Contardo Ayala ◽  
Jo Salmon ◽  
David Dunstan ◽  
Lauren Arundell ◽  
Kate Parker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Sitting Time ◽  
Linear Regression Models ◽  
Anthropometric Measures ◽  
Prolonged Sitting ◽  
Intensity Physical Activity ◽  
Changes Over Time

This study examined two-year changes in patterns of activity and associations with body mass index (BMI) and waist circumference (WC) among adolescents. Inclinometers (activPAL) assessed sitting, sitting bouts, standing, stepping, and breaks from sitting. ActiGraph-accelerometers assessed sedentary time (SED), light-intensity physical activity (LIPA, stratified as low- and high-LIPA), and moderate-to-vigorous physical activity (MVPA). Anthropometric measures were objectively assessed at baseline and self-reported at follow-up. Data from 324 and 67 participants were obtained at baseline and follow-up, respectively. Multilevel mixed-effects linear regression models examined changes over time, and associations between baseline values and BMI and WC at follow-up. There were significant increases in BMI (0.6 kg/m2) and durations of prolonged sitting (26.4 min/day) and SED (52 min/day), and significant decreases in stepping (−19 min/day), LIPA (−33 min/day), low-LIPA (−26 min/day), high-LIPA (−6.3 min/day), MVPA (−19 min/day), and the number of breaks/day (−8). High baseline sitting time was associated (p = 0.086) with higher BMI at follow-up. There were no significant associations between baseline sitting, prolonged sitting, LIPA, or MVPA with WC. Although changes in daily activity patterns were not in a favourable direction, there were no clear associations with BMI or WC. Research with larger sample sizes and more time points is needed.

scholarly journals Youth Physical Activity Patterns During School and Out-of-School Time

Children ◽  
2018 ◽  
Vol 5 (9) ◽  
pp. 118 ◽  
Author(s):  
Pedro Saint-Maurice ◽  
Yang Bai ◽  
Spyridoula Vazou ◽  
Gregory Welk
Keyword(s):  
Physical Activity ◽  
High School Students ◽  
Discrete Time ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
After School ◽  
Activity Levels ◽  
School Students ◽  
Time Periods ◽  
Out Of School

This study describes age, sex, and season patterns in children’s physical activity behaviors during discrete time periods, both in school and at home. Participants were 135 elementary, 67 middle, and 89 high-school students (128 boys and 163 girls) involved in a larger school activity monitoring project. We examined time spent in moderate-to-vigorous physical activity (MVPA) at recess, physical education (PE), lunch, commuting to/from school, before-school, after-school, evening, and weekend segments. Differences in MVPA by age, sex, and season were examined using a three-way analysis of variance and separately for each individual segment. Moderate-to-vigorous physical activity levels varied by context and were higher during recess (15.4 ± 8.5 min) while at school, and on Saturdays (97.4 ± 89.5 min) when youth were out-of-school. Elementary children were more active than their older counterparts only during lunch time, after-school, and Sunday (p < 0.05). Boys were consistently more active than girls at all segments. Participants were only more active during non-winter than winter months during PE (p = 0.006), after-school (p < 0.001), and Sunday (p = 0.008) segments. These findings showed that activity levels in youth vary during the day and season. The segments reflect discrete time periods that can potentially be targeted and evaluated to promote physical activity in this population.

scholarly journals Validation of self-reported physical activity by accelerometry among primary school children in Kilimanjaro, Tanzania: a pilot study

2020 ◽  
Vol 3 ◽  
pp. 40
Author(s):  
Mary Vincent Mosha ◽  
Elizabeth Kasagama ◽  
Philip Ayieko ◽  
Jim Todd ◽  
Sia E. Msuya ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
School Children ◽  
Primary Schools ◽  
Vigorous Physical Activity ◽  
Primary School Children ◽  
Positive Correlation ◽  
Self Reports ◽  
Study Participants ◽  
Moderate Positive Correlation

Background: Self-reports are commonly used to assess physical activity in children.  Existing self-reports for physical activity have not been validated for use among primary school children in Kilimanjaro, Tanzania. In order to understand if primary school children can accurately report their physical activity, we examined the validity of self-reported physical activity against accelerometer measured physical activity. Methods: A community based cross-sectional study was conducted from May to July, 2018 among four primary schools in Moshi municipal and Moshi rural districts, Kilimanjaro, Tanzania.  A total of 51 primary school children aged 9–11 years were enrolled using a simple random sampling technique. A self-reported questionnaire was used to collect physical activity related variables. In addition, children wore accelerometers for seven consecutive days to capture physical activity movements. Spearman’s rank test and Bland Altman plots were used for assessing validity and agreement between self-reports and accelerometer moderate to vigorous physical activity (MVPA). Results: The mean age of the study participants was 10 (SD=0.8) years. Majority of the study participants were female 32 (63%). A moderate, positive correlation was found between self-reports and accelerometer MVPA (rho=0.36, p=0.009). Accelerometer had higher MVPA compared to self-reports. Children who reported walking to school had higher MVPA for both accelerometer and self- reports compared to children who use other means of transport to school, e.g. school buses (p < 0.001). Conclusions: This study found the moderate positive correlation between self-reports and accelerometers. Self-reports are prone to errors due to recall bias, and this interferes their validity.  More research is needed to develop better self-reported measures with specific activities which can easily be recalled by children. Also, researchers have to be aware of self-reports validity limitation.

1. The Effects of an Aerobic Exercise Intervention on Daily Activity Patterns

2016 ◽  
Author(s):  
James Bouma
Keyword(s):  
Physical Activity ◽  
Aerobic Exercise ◽  
Daily Activity ◽  
Exercise Intervention ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Low Intensity ◽  
Low Volume ◽  
Low Intensity Exercise ◽  
Daily Activity Patterns

The purpose of this study was to examine the effects of participation in an aerobic exercise intervention on daily activity occurring outside of the structured exercise sessions. Participants were randomized into one of the following 4 conditions: 1) No-exercise, 2) Low volume, low intensity exercise (LVLI), 3) High volume, low intensity exercise (HVLI), 4) Low volume, high intensity (LVHI). Physical activity was measured over 7 days with an accelerometer at baseline and during week 8 of the intervention. Activity was defined as: sedentary behaviour (SED; < 100 counts/minute), light physical activity (LPA; 100 to 1951 counts/minute), moderate-to-vigorous physical activity (MVPA; ≥1952 counts/minute), and total physical activity (TPA; LPA + MVPA). Activity was quantified as average total minutes per day of each SED, LPA, MVPA, and TPA. A one-way ANOVA was used to determine if time spent in SED, LPA, MVPA, and TPA changed from baseline to week 8. Seventy-one participants (No-exercise; n=12, LVLI n=17, HVLI n=24, LVHI; n=18,) with a mean age of 54 y and waist circumference of 110 cm completed 8 weeks of the intervention. There were no significant differences in SED, LPA, MVPA, or TPA between groups at baseline. There was no significant change in SED, LPA, MVPA, or TPA at week 8 compared to baseline (p>0.05). Similarly, there were no significant differences in activity variables between exercise conditions. Our observations suggest that daily activity patterns do not change with the implementation of an exercise intervention in men and women.

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