scholarly journals Exploring the Association Between Electronic Wearable Device Use and Levels of Physical Activity Among Individuals With Depression and Anxiety: A Population Level Study

2021 ◽  
Vol 3 ◽  
Author(s):  
Henry Onyeaka ◽  
Joe Firth ◽  
Valentine Enemuo ◽  
Chioma Muoghalu ◽  
John Naslund ◽  
...  
Keyword(s):  
Physical Activity ◽  
United States ◽  
Large Scale ◽  
Population Level ◽  
The United States ◽  
Individual Characteristics ◽  
Activity Levels ◽  
Depression And Anxiety ◽  
Related Factors ◽  
Cross Sectional

Aim: The present study aimed to investigate the cross-sectional association between self-reported use of electronic wearable devices (EWDs) and the levels of physical activity among a representative sample of adults with depression and anxiety in the United States.Methods: For this cross-sectional study, data were pooled from the Health Information National Trends Survey 2019. A sample of 1,139 adults with self-reported depression and anxiety (60.9% women; mean age of 52.5 years) was analyzed. The levels of physical activity and prevalence of EWD utilization were self-reported. The chi-square tests were used to compare individual characteristics through the use of EWDs. Multivariable logistic regression was employed to investigate the association between EWDs and physical activity levels while adjusting for sociodemographic and health-related factors.Results: From the 1,139 adults with self-reported depression and anxiety, 261 (weighted percentage 28.1%) endorsed using EWD in the last year. After adjusting for covariates, the use of EWDs was only significantly associated with a higher odds of reporting intention to lose weight (OR 2.12; 95% CI 1.04, 4.35; p = 0.04). We found no association between the use of EWDs and meeting the national weekly recommendation for physical activity or resistance/strength exercise training.Conclusion: About three in 10 adults suffering from depression and anxiety in the United States reported using EWDs in the last year. The current study findings indicate that among people living with mental illness, EWD use is associated with higher odds of weight loss intent suggesting that EWDs may serve as an opening for the clinical interactions around physical health through identifying patients primed for behavior change. Further large-scale studies using randomized trial designs are needed to examine the causal relationships between EWDs and the physical activity of people with mental health conditions.

scholarly journals Association of Social Networks and Physical Activity in South Asians: The Mediators of Atherosclerosis in South Asians Living in America Cohort Study

2020 ◽  
Vol 17 (2) ◽  
pp. 149-155 ◽  
Author(s):  
Mitali S. Thanawala ◽  
Juned Siddique ◽  
John A. Schneider ◽  
Alka M. Kanaya ◽  
Andrew J. Cooper ◽  
...  
Keyword(s):  
Physical Activity ◽  
United States ◽  
Social Networks ◽  
Confidence Interval ◽  
Leisure Time Physical Activity ◽  
South Asians ◽  
Ethnic Disparities ◽  
The United States ◽  
Activity Levels ◽  
Cross Sectional

Background: Eliminating racial/ethnic disparities in physical activity remains a challenge in the United States. South Asian immigrants in the United States have particularly low physical activity levels, and evidence suggests that social context may be important. This study examined associations between personal social networks and moderate to vigorous leisure-time physical activity (MVPA) among South Asians in the United States. Methods: We used cross-sectional data (2014–2017) from 689 South Asians (aged 43–85 y) who participated in the Mediators of Atherosclerosis in South Asians Living in America study. Self-reported physical activity and egocentric network data were collected from participants about their network members. Regression models were used to determine associations between social network characteristics and participants’ MVPA. Results: Participants were on average 59 years old (SD = 9) and reported 1335 metabolic equivalent minutes per week of MVPA (interquartile range = 735, 2212). Having network members who exercised or who were exercise partners associated with increased MVPA in men (β coefficient = 241 MET min/wk [95% confidence interval, 63 to 419] and β = 520 MET min/wk [95% confidence interval, 322 to 718], respectively). For women, the association was only significant if the exercise partner was a spouse. Conclusion: Physical activity interventions utilizing network members as exercise partners may have potential in South Asians but must consider gender differences.

scholarly journals Effects of trees, gardens, and nature trails on heat index and child health: design and methods of the Green Schoolyards Project

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kevin Lanza ◽  
Melody Alcazar ◽  
Deanna M. Hoelscher ◽  
Harold W. Kohl
Keyword(s):  
Physical Activity ◽  
United States ◽  
Relative Humidity ◽  
Air Temperature ◽  
The United States ◽  
Heat Index ◽  
Activity Levels ◽  
Natural Setting ◽  
Physical Activity Levels ◽  
Nature Trails

Abstract Background Latinx children in the United States are at high risk for nature-deficit disorder, heat-related illness, and physical inactivity. We developed the Green Schoolyards Project to investigate how green features—trees, gardens, and nature trails—in school parks impact heat index (i.e., air temperature and relative humidity) within parks, and physical activity levels and socioemotional well-being of these children. Herein, we present novel methods for a) observing children’s interaction with green features and b) measuring heat index and children’s behaviors in a natural setting, and a selection of baseline results. Methods During two September weeks (high temperature) and one November week (moderate temperature) in 2019, we examined three joint-use elementary school parks in Central Texas, United States, serving predominantly low-income Latinx families. To develop thermal profiles for each park, we installed 10 air temperature/relative humidity sensors per park, selecting sites based on land cover, land use, and even spatial coverage. We measured green features within a geographic information system. In a cross-sectional study, we used an adapted version of System for Observing Play and Recreation in Communities (SOPARC) to assess children’s physical activity levels and interactions with green features. In a cohort study, we equipped 30 3rd and 30 4th grade students per school during recess with accelerometers and Global Positioning System devices, and surveyed these students regarding their connection to nature. Baseline analyses included inverse distance weighting for thermal profiles and summing observed counts of children interacting with trees. Results In September 2019, average daily heat index ranged 2.0 °F among park sites, and maximum daily heat index ranged from 103.4 °F (air temperature = 33.8 °C; relative humidity = 55.2%) under tree canopy to 114.1 °F (air temperature = 37.9 °C; relative humidity = 45.2%) on an unshaded playground. 10.8% more girls and 25.4% more boys interacted with trees in September than in November. Conclusions We found extreme heat conditions at select sites within parks, and children positioning themselves under trees during periods of high heat index. These methods can be used by public health researchers and practitioners to inform the redesign of greenspaces in the face of climate change and health inequities.

scholarly journals Using multilevel regression and poststratification to estimate physical activity levels from health surveys

2021 ◽  
Author(s):  
Marina Christofoletti ◽  
Tânia R. B. Benedetti ◽  
Felipe Goedert Mendes ◽  
Humberto M. Carvalho
Keyword(s):  
Physical Activity ◽  
Health Surveys ◽  
Large Scale ◽  
Leisure Time Physical Activity ◽  
Health Indicators ◽  
Activity Levels ◽  
Multilevel Regression ◽  
Cross Sectional ◽  
Single Level ◽  
Uncertainty Estimates

Background: Large-scale health surveys often consider sociodemographic characteristics and several health indicators influencing physical activity that often vary across units (regions or states). Data in a survey for some small units are often not representative of the larger population. This study developed a relatively simple multilevel regression and poststratification (MRP) model to estimate the proportion of leisure-time physical activity across Brazilian state capitals, based on the Brazilian cross-sectional national survey VIGITEL (2018). Methods: We used various approaches to evaluate whether the MRP approach outperforms single-level aggregated estimates, with various subsample proportions tested. Results: The mean absolute errors were consistently smaller for the MRP estimates than single-level regression estimates, particularly with smaller sample sizes. MRP consistently had predictions closer to the estimation target than single-level aggregated estimations. MRP presented substantially smaller uncertainty estimates compared to aggregated estimates. Conclusions: Our results confirm that MRP is a promising strategy to derive disaggregated data for health-related outcomes and, in particular, physical activity indicators from aggregated-level surveys. Overall, the MRP is superior to single-level aggregated estimates and disaggregation, yielding smaller errors and more accurate estimates. MRP significantly expands the scope of issues for which researchers can better address participation bias and interpret interactions to estimate descriptive population quantities. The observations present in this study highlight the need for further research, potentially incorporating more information in the models to better interpret interactions and types of activities across target populations.

Results from the United States’ 2014 Report Card on Physical Activity for Children and Youth

2014 ◽  
Vol 11 (s1) ◽  
pp. S105-S112 ◽  
Author(s):  
Kara N. Dentro ◽  
Kim Beals ◽  
Scott E. Crouter ◽  
Joey C. Eisenmann ◽  
Thomas L. McKenzie ◽  
...  
Keyword(s):  
Physical Activity ◽  
United States ◽  
Sport Participation ◽  
Comprehensive Evaluation ◽  
The United States ◽  
Report Card ◽  
Children And Youth ◽  
Activity Levels ◽  
Sedentary Behaviors ◽  
Physical Activity Levels

Background:The National Physical Activity Plan Alliance partnered with physical activity experts to develop a report card that provides a comprehensive assessment of physical activity among United States children and youth.Methods:The 2014 U.S. Report Card on Physical Activity for Children and Youth includes 10 indicators: overall physical activity levels, sedentary behaviors, active transportation, organized sport participation, active play, health-related fitness, family and peers, school, community and the built environment, and government strategies and investments. Data from nationally representative surveys were used to provide a comprehensive evaluation of the physical activity indicators. The Committee used the best available data source to grade the indicators using a standard rubric.Results:Approximately one-quarter of children and youth 6 to 15 years of age were at least moderately active for 60 min/day on at least 5 days per week. The prevalence was lower among youth compared with younger children, resulting in a grade of D- for overall physical activity levels. Five of the remaining 9 indicators received grades ranging from B- to F, whereas there was insufficient data to grade 4 indicators, highlighting the need for more research in some areas.Conclusions:Physical activity levels among U.S. children and youth are low and sedentary behavior is high, suggesting that current infrastructure, policies, programs, and investments in support of children’s physical activity are not sufficient.

Physical activity levels and differences in the prevalence of diabetes between the United States and Canada☆

2010 ◽  
Vol 50 (5-6) ◽  
pp. 241-245 ◽  
Author(s):  
Xuanping Zhang ◽  
Linda S. Geiss ◽  
Carl J. Caspersen ◽  
Yiling J. Cheng ◽  
Michael M. Engelgau ◽  
...  
Keyword(s):  
Physical Activity ◽  
United States ◽  
The United States ◽  
Activity Levels ◽  
Physical Activity Levels

scholarly journals Effects of trees, gardens, and nature trails on heat index and child health: Design and methods of the Green Schoolyards Project

2021 ◽  
Author(s):  
Kevin Lanza ◽  
Melody Alcazar ◽  
Deanna M. Hoelscher ◽  
III Harold W. Kohl
Keyword(s):  
Physical Activity ◽  
United States ◽  
Relative Humidity ◽  
Air Temperature ◽  
The United States ◽  
Heat Index ◽  
Activity Levels ◽  
Natural Setting ◽  
Physical Activity Levels ◽  
Nature Trails

Abstract Background: Latinx children in the United States are at high risk for nature-deficit disorder, heat-related illness, and physical inactivity. We developed the Green Schoolyards Project to investigate how green features—trees, gardens, and nature trails—in school parks impact heat index (i.e., air temperature and relative humidity) within parks, and physical activity levels and socioemotional well-being of these children. Herein, we present novel methods for a) observing children’s interaction with green features and b) measuring heat index and children’s behaviors in a natural setting, and a selection of baseline results.Methods: During two September weeks (high temperature) and one November week (moderate temperature) in 2019, we examined three joint-use elementary school parks in Central Texas, United States, serving predominantly low-income Latinx families. To develop thermal profiles for each park, we installed 10 air temperature/relative humidity sensors per park, selecting sites based on land cover, land use, and even spatial coverage. We measured green features within a geographic information system. In a cross-sectional study, we used an adapted version of System for Observing Play and Recreation in Communities (SOPARC) to assess children’s physical activity levels and interactions with green features. In a cohort study, we equipped 30 3rd and 30 4th grade students per school during recess with accelerometers and Global Positioning System devices, and surveyed these students regarding their connection to nature. Baseline analyses included inverse distance weighting for thermal profiles and summing observed counts of children interacting with trees.Results: In September 2019, average daily heat index ranged 2.0°F among park sites, and maximum daily heat index ranged from 103.4°F (air temperature = 33.8°C; relative humidity = 55.2%) under tree canopy to 114.1°F (air temperature = 37.9°C; relative humidity = 45.2%) on an unshaded playground. 10.8% more girls and 25.4% more boys interacted with trees in September than in November.Conclusions: We found extreme heat conditions at select sites within parks, and children positioning themselves under trees during periods of high heat index. These methods can be used by public health researchers and practitioners to inform the redesign of greenspaces in the face of climate change and health inequities.

scholarly journals Effects of trees, gardens, and nature trails on heat index and child health: Design and methods of the Green Schoolyards Project

2020 ◽  
Author(s):  
Kevin Lanza ◽  
Melody Alcazar ◽  
Deanna M. Hoelscher ◽  
III Harold W. Kohl
Keyword(s):  
Physical Activity ◽  
United States ◽  
Relative Humidity ◽  
Air Temperature ◽  
The United States ◽  
Heat Index ◽  
Activity Levels ◽  
Natural Setting ◽  
Physical Activity Levels ◽  
Nature Trails

Abstract Background: Latinx children in the United States are at high risk for nature-deficit disorder, heat-related illness, and physical inactivity. We developed the Green Schoolyards Project to investigate how green features—trees, gardens, and nature trails—in school parks impact heat index (i.e., air temperature and relative humidity) within parks, and physical activity levels and socioemotional well-being of these children. Herein, we present novel methods for a) observing children’s interaction with green features and b) measuring heat index and children’s behaviors in a natural setting, and a selection of baseline results.Methods: During two September weeks (high temperature) and one November week (moderate temperature) in 2019, we examined three joint-use elementary school parks in Central Texas, United States, serving predominantly low-income Latinx families. To develop thermal profiles for each park, we installed 10 air temperature/relative humidity sensors per park, selecting sites based on land cover, land use, and even spatial coverage. We measured green features within a geographic information system. In a cross-sectional study, we used an adapted version of System for Observing Play and Recreation in Communities (SOPARC) to assess children’s physical activity levels and interactions with green features. In a cohort study, we equipped 30 3rd and 30 4th grade students per school during recess with accelerometers and Global Positioning System devices, and surveyed these students regarding their connection to nature. Baseline analyses included inverse distance weighting for thermal profiles and summing observed counts of children interacting with trees.Results: In September 2019, average daily heat index ranged 2.0°F among park sites, and maximum daily heat index ranged from 103.4°F (air temperature = 33.8°C; relative humidity = 55.2%) under tree canopy to 114.1°F (air temperature = 37.9°C; relative humidity = 45.2%) on an unshaded playground. 10.8% more girls and 25.4% more boys interacted with trees in September than in November.Conclusions: We found extreme heat conditions at select sites within parks, and children positioning themselves under trees during periods of high heat index. These methods can be used by public health researchers and practitioners to inform the redesign of greenspaces in the face of climate change and health inequities.

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