scholarly journals The Impact of Prescribed Exercise and Short-Term Caloric Restriction on Moderate-to-Vigorous Physical Activity (P08-011-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Alexandra Martin ◽  
Birgit Wallmann-Sperlich ◽  
Billy Sperlich ◽  
Karsten Koehler
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Energy Balance ◽  
Caloric Restriction ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Energy Deficit ◽  
Short Term ◽  
Food And Agriculture ◽  
The Impact

Abstract Objectives Weight loss, especially when achieved by caloric restriction (CR), reduces total daily energy expenditure (EE), which can attenuate further weight loss. Although exercise is a common countermeasure to the decline in EE, it is unknown whether prescribed exercise leads to compensatory changes in moderate-to-vigorous physical activities (MVPA) during non-exercise periods in the context of CR. The present study sought to quantify changes in MVPA in response to an energetically-matched energy deficit induced by CR alone or combined with exercise. We hypothesized that MVPA outside of prescribed exercise would be greater during non-exercise conditions, regardless of energy balance. Methods In a repeated-measures crossover design, active men (n = 6, 25 ± 1.0 y) underwent four 4-day conditions: CR with exercise (CR + X), CR without exercise (CR–X), energy-balanced control (CON) with exercise (CON + X) and without exercise (CON–X). Dietary intake was manipulated such that energy availability (EA) was 15 kcal·kg FFM−1·day−1 (CR) or 40 kcal·kg FFM−1·day−1 (CON). Prescribed exercise EE was 15 kcal·kg FFM−1·day−1. Physical activity was assessed using the SenseWear Pro3 armband (Bodymedia, Pittsburgh, USA) to quantify time spent in MVPA and light activities (sleep, lying down without sleep, and non-lying light activities) as % of total wear time. Results EA did not differ between CR (P = 0.87) nor CON (P = 0.42). As expected, weight loss was significant (P < 0.001) in CR + EX (–1.8 ± 0.4 kg) and CR-EX (–2.4 ± 0.3 kg). After deducting prescribed exercise, there was a significant effect of exercise on time spent in MVPA (P = 0.02), in that MVPA was lower during CON-EX vs. CON + EX (11.4 ± 2.0% vs. 17.9 ± 2.1%, P = 0.03) and trended lower during CR-EX vs. CR + EX (13.6 ± 1.5% vs. 15.5 ± 1.6%, P = 0.08). In exercise conditions, MVPA was lower during CR + EX when compared to CON + EX (P = 0.03). Conclusions Independent of energy balance, engaging in short-term exercise led to more, not less, time spent in non-exercise MVPA. These findings indicate the prevention of reductions in non-exercise activity as an additional benefit of incorporating exercise into weight loss interventions. Funding Sources The study was supported in part by the USDA National Institute of Food and Agriculture and institutional funding from the University of Nebraska-Lincoln.

scholarly journals Engagement in a Multi-Feature Digital Health Lifestyle Change Program as a Predictor of Weight Loss

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A12-A12
Author(s):  
Eldin Dzubur ◽  
Roberta James ◽  
Bimal Shah ◽  
Tejaswi Kompala
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Digital Health ◽  
Vigorous Physical Activity ◽  
Health Lifestyle ◽  
Telephonic Coaching ◽  
The Individual ◽  
Scale Usage ◽  
The Impact ◽  
Time Varying Covariates

Abstract Background: Modern digital health interventions targeting weight loss employ multiple evidence-based strategies, including nutrition tracking, coaching, and activity monitoring, providing users with choice as they set and achieve their own goals. Still, limited research exists on the partial effects of each component of such interventions, and whether participants choose to use all of the features of a program. The objective of this study was to test the individual components of a fully-featured digital health lifestyle intervention as predictors of weight loss in a single statistical model. Methods: Participants in the study (N=25,273) were enrolled in the Livongo for Weight Loss program as part of their employee wellness benefit across 57 states/territories of the US from April, 2019 to January, 2021. Participants received a cellular-connected scale to use daily in the program; they were asked to track their eating via the app and physical activity via smartphones or wearables. Additionally, participants could engage with coaches voluntarily or by receiving feedback from coaches on their recorded food logs. A mixed-effects generalized linear model was used to test the effects of scale usage, physical activity, human telephonic coaching, and food logs without and without coaching feedback on the percent weight loss the following month. Predictors were disaggregated into between- and within-subject components to understand the impact of each component relative to one’s own mean. The month in the program and whether or not that month occurred during the COVID-19 pandemic were entered as time-varying covariates. Baseline age, gender, and BMI were entered as time-invariant covariates. Results: Participants were 45% male and had average age of 54.3 years old (SD =11.4), with an average BMI of 33.10 kg/m2 (SD: 6.2). On average, participants were enrolled in the program for 10.4 months (SD: 5.1). Each additional use of the scale above one’s own average was associated with an overall 7.4% weight loss (z=21.06,p&lt;0.001). Similarly, each additional minute of moderate-vigorous physical activity (MVPA) above one’s own average was associated with an overall 2.4% weight loss (z=3.14, p&lt;0.01). Lastly, coaching and food logging with coaching feedback at a frequency above one’s own average were associated with approximately a 6% weight loss throughout the program (z=3.08 and 2.35, respectively; p&lt;0.05 for both). Conclusion: We found that frequency of use of a scale in a weight loss intervention was most predictive of weight loss, followed by human coaching interaction and physical activity. However, food logging without feedback did not significantly impact weight loss among participants. Additional work is needed to understand drivers associated with increased utilization of beneficial program features, including optimizing the use of coaching, which offers great benefit, but may be costly to scale.

scholarly journals Hormonal and Psychobehavioral Predictors of Weight Loss in Response to a Short-Term Weight Reduction Program in Obese Women

2008 ◽  
pp. S17-S27
Author(s):  
V Hainer ◽  
K Hlavatá ◽  
M Gojová ◽  
M Kunešová ◽  
M Wagenknecht ◽  
...  
Keyword(s):  
Physical Activity ◽  
Growth Hormone ◽  
Weight Loss ◽  
Weight Management ◽  
Weight Reduction ◽  
Lifestyle Changes ◽  
Short Term ◽  
Weight Reduction Program ◽  
Reduction Program ◽  
The Impact

Among the factors influencing weight loss and maintenance, psychobehavioral, nutritional, metabolic, hormonal and hereditary predictors play an important role. Psychobehavioral factors influence adherence to lifestyle changes and thus weight loss maintenance. The outcome of short-term weight reduction treatment is mainly affected by changes in energy and nutrient intake and physical activity and thus the impact of hormones can possibly be obscured. In order to reveal hormonal determinants of weight loss, a 4-week in-patient comprehensive weight reduction program was introduced in which food intake and physical activity were under the strict control. Women (n = 67, BMI: 32.4+/-4.4 kg; age: 48.7+/-12.2 years) who exhibited stable weight on a 7 MJ/day diet during the first week of weight management were given a hypocaloric diet yielding daily energy deficit 2.5 MJ over the subsequent 3-week period. This treatment resulted in a mean weight loss of 3.80+/-1.64 kg. Correlation analysis revealed that baseline concentrations of several hormones were significantly associated either with a higher (free triiodothyronine, C-peptide, growth hormone, pancreatic polypeptide) or with a lower (insulin-like growth factor-I, cortisol, adiponectin, neuropeptide Y) reduction of anthropometric parameters in response to weight management. In a backward stepwise regression model age, initial BMI together with baseline levels of growth hormone, peptide YY, neuropetide Y and C-reactive protein predicted 49.8 % of the variability in weight loss. Psychobehavioral factors (items of the Eating Inventory, Beck Depression score) did not contribute to weight change induced by a well-controlled short-term weight reduction program.

Enrolling Caregivers in Obesity Interventions to Improve Obesity-Related Outcomes in Children

2021 ◽  
pp. 019394592110370
Author(s):  
Hannah Bessette ◽  
MinKyoung Song ◽  
Karen S. Lyons ◽  
Sydnee Stoyles ◽  
Christopher S. Lee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Weight Loss ◽  
Linear Regression ◽  
Body Mass ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Weight Loss Program ◽  
Weight Loss Programs ◽  
Obesity Interventions

In this study, we assessed the influences of change in moderate-to-vigorous physical activity (MVPA)/sedentary time (ST) of caregivers participating in a commercial weight-loss program on their children’s change in MVPA/ST. Data from 29 caregivers and their children were collected over 8 weeks. We used multivariable linear regression to assess associations of changes in caregiver’s percent of time spent in MVPA/ST and changes in their child’s percent of time spent in MVPA/ST. For caregivers that decreased body mass index (BMI) over 8 weeks, changes in caregivers’ MVPA was strongly associated with the change in children’s MVPA (β = 2.61 [95% CI: 0.45, 4.77]) compared to caregivers who maintained/increased BMI (β = 0.24 [–2.16, 2.64]). Changes in caregivers’ ST was strongly associated with changes in children’s ST (β = 2.42 [1.02, 3.81]) compared to caregivers who maintained/increased BMI (β = 0.35 [–0.45, 1.14]). Findings reinforce encouraging caregivers to enroll in weight-loss programs for the benefit of their children as well as for themselves.

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.

Accelerometry and Self-Report Are Congruent for Children’s Moderate-to-Vigorous and Higher Intensity Physical Activity

2021 ◽  
pp. 1-8
Author(s):  
Claudio R. Nigg ◽  
Xanna Burg ◽  
Barbara Lohse ◽  
Leslie Cunningham-Sabo
Keyword(s):  
Physical Activity ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Fourth Grade ◽  
Assessment Method ◽  
Self Report ◽  
Upper Elementary ◽  
Upper Elementary School ◽  
Intensity Physical Activity

Purpose: This study used different analytic approaches to compare physical activity (PA) metrics from accelerometers (ACC) and a self-report questionnaire in upper elementary youth participating in the Fuel for Fun intervention. Methods: The PA questionnaire and ACC were assessed at baseline/preintervention (fall fourth grade), Follow-up 1/postintervention (spring fourth grade), and Follow-up 2 (fall fifth grade) of 564 fourth grade students from three elementary schools (50% females, 78% White, and 28% overweight or obese). Different analytic approaches identified similarities and differences between the two methods. Results: On average, self-report was higher than ACC for vigorous PA (range = 9–15 min/day), but lower than ACC for moderate PA (range = 24–30 min/day), light PA (range = 30–36 min/day), and moderate-to-vigorous physical activity (MVPA; range = 9–21 min/day). Spearman’s correlations for vigorous PA (.30, .26, and .32); moderate PA (.12, .13, and .14); and MVPA (.25, .25, and .24) were significant at each time point (all ps ≤ .01), whereas correlations for light PA were not significant (.06, .04, and .07; all ps > .05). In repeated-measures analyses, ACC and questionnaire measures were significantly different from each other across the three time points; however, change difference of the two measures over time was only 5.5 MVPA min/day. Conclusions: The PA questionnaire and ACC validated each other and can be used to assess MVPA in upper elementary school children in a similar population to the current study. However, each assessment method captures unique information, especially for light-intensity PA. Multiple PA measurement methods are recommended to be used in research and application to provide a more comprehensive understanding of children’s activity.

Impact of the implantable cardioverter defibrillator on confidence to undertake physical activity in inherited heart disease: A cross-sectional study

2017 ◽  
Vol 16 (8) ◽  
pp. 742-752 ◽  
Author(s):  
Joanna Sweeting ◽  
Kylie Ball ◽  
Julie McGaughran ◽  
John Atherton ◽  
Christopher Semsarian ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Disease ◽  
Implantable Cardioverter Defibrillator ◽  
Vigorous Physical Activity ◽  
Survey Study ◽  
Accelerometer Data ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Cardioverter Defibrillator ◽  
The Impact

Background: Physical activity is associated with improved quality of life. Patients with an implantable cardioverter defibrillator (ICD) face unique clinical and psychological challenges. Factors such as fear of ICD shock may negatively impact on physical activity, while a sense of protection gained from the ICD may instil confidence to be active. Aim: We aimed to examine the impact of an ICD on physical activity levels and factors associated with amount of activity. Methods: Two cross-sectional studies were conducted. Accelerometer data (seven-day) was collected in March–November 2015 for 63 consecutively recruited hypertrophic cardiomyopathy patients, with or without an ICD, aged ⩾18 years. A survey study was conducted in July–August 2016 of 155 individuals aged ⩾18 years with an inherited heart disease and an ICD in situ. Results: Based on the International Physical Activity Questionnaire, mean leisure time physical activity was 239 ± 300 min/week with 51% meeting physical activity guidelines. Accelerometry showed that mean moderate–vigorous physical activity was the same for patients with and without an ICD (254 ± 139 min/week versus 300 ± 150 min/week, p=0.23). Nearly half of survey participants ( n=73) said their device made them more confident to exercise. Being anxious about ICD shocks was the only factor associated with not meeting physical activity guidelines. Conclusions: Patients with inherited heart disease adjust differently to their ICD device, and for many it has no impact on physical activity. Discussion regarding the appropriate level of physical activity and potential barriers will ensure best possible outcomes in this unique patient group.

scholarly journals Children’s segment specific moderate to vigorous physical activity through a school-initiated physical activity program

2015 ◽  
Vol 7 (2) ◽  
pp. 19-32
Author(s):  
ARTO GRÅSTÉN
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
After School ◽  
Physical Activity Guidelines ◽  
School Activities ◽  
Before And After ◽  
Before School ◽  
Out Of School

Background: Since less than one-third of 13-year-olds in many Western countries meet the physical activity guidelines, there is a major need to promote physical activity. The aim of this study was to examine children’s segment specific moderate to vigorous physical activity (MVPA) through the school-initiated program. Material/Methods: The sample comprised 76 Finnish elementary school children. Accelerometers were used to investigate the patterns of segmented MVPA through 2012-2014. Repeated Measures Analysis was implemented to summarize variability between time and segments of MVPA. Results: The examination of children’s MVPA revealed that their total, weekend, and before-school activity were significant predictors for their subsequent activity. Children’s MVPA in physical education classes, before- and after-school, and during school breaks decreased through the program. Both girls and boys accumulated the majority of their weekly MVPA during weekdays and out-of-school. Conclusions: The program provedto be effective in order to sustain children’s total MVPA levels, although physical education, before- and after-school, and recess MVPA decreased through the program. Out-of-school activities seemed to be more important than in-school activities in relation to children’s total MVPA minutes, when they transfer to the higher grades. Attention should be paid to out-of-school, especially weekend, activities.

scholarly journals Objective Behavioral Measures in Children before, during, and after the COVID-19 Lockdown in Israel

2021 ◽  
Vol 18 (16) ◽  
pp. 8732
Author(s):  
Einat Shneor ◽  
Ravid Doron ◽  
Jonathan Levine ◽  
Deena Rachel Zimmerman ◽  
Julia S. Benoit ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Exposure ◽  
Vigorous Physical Activity ◽  
Rank Test ◽  
Long Term Effects ◽  
Wake Time ◽  
Signed Rank ◽  
Social Restriction ◽  
Signed Rank Test ◽  
The Impact

Studies using questionnaires report that COVID-19 restrictions resulted in children spending significantly less time outdoors. This study used objective measures to assess the impact of pandemic-related restrictions on children’s behavior. A total of 19 healthy 8–12-year-old boys were observed before and during social restriction periods. Of these, 11 boys were reassessed after restrictions were lifted. For each session, Actiwatches were dispensed for measures of time outdoors, activity, and sleep. Changes overall and by school status were assessed using signed-rank test and Wilcoxon rank sum tests. During restrictions, children spent significantly less time outdoors (p = 0.001), were less active (p = 0.001), and spent less time engaged in moderate-to-vigorous physical activity (p = 0.004). Sleep duration was not significantly different between sessions (p > 0.99), but bedtime and wake time shifted to a later time during restrictions (p < 0.05 for both). Time outdoors and activity returned close to pre-pandemic levels after restrictions were lifted (p > 0.05 for both). Children’s behaviors significantly changed during the COVID-19 pandemic. The reduction in outdoor light exposure is of importance due to the role of light in the etiology of myopia and vitamin D production. The reduction in physical activity may have negative health effects in terms of obesity and depression, although further research is required to ascertain the long-term effects.

Abstract P267: New Urbanism and Its Impact on Active Living among Inner City Children/Youth

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Gregory W Heath ◽  
Sarah White-Woerner
Keyword(s):  
Physical Activity ◽  
Inner City ◽  
Low Income ◽  
Vigorous Physical Activity ◽  
Active Living ◽  
The South ◽  
City Community ◽  
New Urbanist ◽  
The Impact ◽  
Urban Trail

Introduction: Although it is known that urban design and land use at the community level contributes to active living, there remains a paucity of such information among low income and diverse populations affected by such infrastructure. Reconstruction of an inner city community in Chattanooga, Tennessee afforded the opportunity to assess the impact of new urbanist construction on active living among African-American children/youth living in the inner city. Hypothesis: Transportation and recreational physical activity levels among children/youth residing in a new urbanist community was hypothesized to be higher compared to demographically similar children/youth who reside in a more traditional inner city community. Methods: Using the System for Observing Physical Activity and Recreation in Communities (SOPARC) we examined an urban trail and recreational park areas of two distinct communities to assess physical activity, sports, and recreational of children/youth. SOPARC data were collected in each of 4 settings in each community (East, a traditional and South, a new urbanist) during four 1-h observation periods during 7 days of clement weather. Observations were made during each day of the week in each setting (i.e., Sunday through Saturday). Results: The SOPARC assessments of the urban trail and pedestrian/bicycle routes in the South and East yielded a total of 672 and 436 children/youth observations, respectively. South children/youth were over three times more likely to engage in vigorous physical activity compared to their East counterparts (Mantel-Haenszel Chi Square = 19.67; P< 0.00001). Conclusions: The present findings support the hypothesis that enhanced environmental supports, such as those found within the South community, increase the likelihood of greater levels of activity among children/youth compared to children/youth that were not exposed to these environmental enhancements. This comparative difference was most remarkable when examining the SOPARC assessment differences along the transport path/sidewalk routes, with South children/youth being significantly more likely than the East children/youth to engage in more vigorous forms of physical activity along this transport/recreational corridor, providing evidence that access to these types of ‘urban’ trails appears to translate into increased opportunities for physical activity among children/youth.

Abstract P495: Trends in Physical Activity Among US Older Adults With Heart Failure 2007-2016

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Fan Ye ◽  
Li Zhou ◽  
Joseph Yeboah ◽  
Peter H Brubaker ◽  
Alain G Bertoni
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Older Adults ◽  
Vigorous Physical Activity ◽  
Public Health Problem ◽  
Moderate Intensity ◽  
Recreational Activities ◽  
Aerobic Activity ◽  
Vigorous Intensity ◽  
The Impact

Introduction: Heart failure (HF) is a growing public health problem which is the leading cause of hospitalization. About half of people who develop HF die within 5 years of diagnosis. Recent evidence suggests that physical inactivity may be an important risk for HF. However, the importance of physical activity in the prevention and treatment have not been adequately recognized. Self-reported physical activity can provide insights into the impact of lifestyle behaviors on mortality. The objective of this study was to determine the relationship between physical activity and HF in a nationally representative sample of United States (US) adults. Methods: The 2007-2016 National Health and Nutrition Examination Survey data collection cycles were used for this analysis. Participants aged 65 and older with HF were defined as those who answered “yes” to the question: “Has a doctor or other health professional ever told you that you had congestive HF?” Frequency and duration of self-reported moderate-intensity (“Days moderate recreational activities” and “Minutes moderate recreational activities”) and vigorous-intensity Days vigorous recreational activities” and “Minutes vigorous recreational activities”) physical activity were collected through questionnaires as well in all data cycles. We used 2018 Physical Activity Guidelines for Americans Older Adults, which recommended that most older adults (age≥65 years) participate in at least 150 minutes of moderate-intensity aerobic activity or 75 minutes of vigorous-intensity aerobic activity per week as our cut-off points for calculating moderate-to-vigorous physical activity. Results: Between 2007-2008 and 2015-2016, the percentage of US adults ≥65 years with HF increased from 2.76% to 3.69% (p=0.04). Although a similar percentage of participants who met the criteria of at least 150 minutes of moderate-intensity activity per week was noted in both groups from 2007 to 2016 (on average, HF: 56.9% vs. HF-free: 56.7%, respectively, p>0.05), more HF-free participants reported at least 75 minutes of vigorous-intensity recreational activities per week compared to HF participants in each calendar year (82.8% vs. 66.7%, 85.0% vs. 70.0%, 83.5% vs. 55.0%, 87.0% vs.75%, 85.2% vs. 63.6%, respectively, p<0.01). Additionally, among those who reported activities, older adults with HF were less than 20 times as likely to report moderate or vigorous recreational activities compared to those without HF. Conclusions: Our findings illustrate lower self-reported physical recreational activities, especially vigorous activities, in older participants who report a diagnosis of HF and more participants without HF report vigorous-intensity recreational activities. Future study should focus on understanding the physical limitations of HF patients, which is paramount in developing cardiac rehabilitation strategies to improve their function capacity.

Sign in / Sign up

Export Citation Format

Share Document