Effects of physical activity intensity, frequency, and activity type on 10-y weight change in middle-aged men and women

Adolescence is characterized as a period of change and adaptation typically marked by a decline in physical activity participation and accompanied by an increase in substance use. The purpose of this study was to examine the relationships among the type (team and individual activity) and intensity (high, medium, and low intensity) of physical activity and substance use (tobacco, marijuana, and alcohol use, and binge drinking) in a sample of 738 adolescents. Results indicated differing relationships among study variables depending on the type and intensity of physical activity and the type of substance used For instance, a positive relationship was found for physical activity intensity and alcohol use, but negative relationships were found for physical activity and tobacco and marijuana use. Collectively, the results reveal that the relationships between physical activity type and intensity and substance use are more complex than previously believed.

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Accelerometer-measured Physical Activity of Older Adults with Type 2 Diabetes: A scoping review (Preprint)

10.2196/preprints.34433 ◽

2021 ◽

Author(s):

Ioana A. Moldovan ◽

Alexa Bragg ◽

Anna Nidhiry ◽

Barbara A. De La Cruz ◽

Suzanne E. Mitchell

Keyword(s):

Physical Activity ◽

Type 2 Diabetes ◽

Older Adults ◽

Scoping Review ◽

Self Report ◽

Physical Activity Intensity ◽

Middle Aged ◽

Promising Alternative ◽

Activity Intensity

BACKGROUND Incorporating physical activity in lifestyle routines is recommended for individuals living with type 2 diabetes. Accelerometer devices offer a promising alternative to self-report methods for measuring physical activity performance. However, the extant literature for accelerometer-measured physical activity among middle-aged/older adults with chronic conditions is lacking. OBJECTIVE We conducted a comprehensive scoping review of the literature to capture accelerometry methodologies in older adults with type 2 diabetes, specifically in relation to cutpoints that classify physical activity into intensity categories (sedentary, light, moderate, vigorous, very vigorous). METHODS Applying the Joanna Briggs Institute’s methodology, we searched PubMed, Web of Science, EMBASE, and Engineering Village to identify studies that used research-grade accelerometers to objectively measure physical activity intensity levels of adults with type 2 diabetes using cutpoints in participant samples of mean age 50 years and older. RESULTS We identified 46 studies that met our inclusion criteria. The ActiGraph was the most popular accelerometer among researchers, and the Freedson (1998) and Troiano (2008) cutpoints were favored the most. The Lopes (2009) cutpoints were developed by calibrating the ActiGraph accelerometer in middle-aged and older adults with overweight/ obesity and type 2 diabetes. Several studies noted limitations of accelerometry use that could lead to an underestimation or inaccurate representation of physical activity for our population of interest. Limitations included decreased accuracy due to variation in device placement and underestimation of activity intensity attributed to using cutpoints in older adults with lower fitness levels that were originally validated with younger adults. CONCLUSIONS Considering the high variability among accelerometry methodologies, more work needs to be done to understand activity intensity cut-offs for populations with a high burden of chronic disease, older age, and suboptimal physical functioning.

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Physical Activity Intensity and Biopsychosocial Correlates in Chinese Middle-Aged and Older Adults With Chronic Kidney Disease

Journal of Aging and Physical Activity ◽

10.1123/japa.2018-0078 ◽

2019 ◽

Vol 27 (6) ◽

pp. 871-878

Author(s):

Jieling Chen ◽

Emily Joy Nicklett ◽

Yaping He ◽

Vivian W.Q. Lou

Keyword(s):

Physical Activity ◽

Older Adults ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Urban Areas ◽

Mobility Limitations ◽

Physical Activity Intensity ◽

Middle Aged ◽

Activity Intensity ◽

Light Activity

The study aims to characterize physical activity (PA) participation by intensity and examine the biopsychosocial correlates among middle-aged and older adults with chronic kidney disease (CKD) in China. Data were examined from the 2011 China Health and Retirement Longitudinal Study. The percentages of participation in vigorous, moderate, and light activity among participants with CKD were 22.7%, 42.1%, and 76.3%, respectively. The participants were less likely to engage in vigorous and moderate PA if they were 70 years of age or older, were not married/partnered, were unemployed, lived in urban areas, had an advanced stage of disease, had heart disease, and/or experienced mobility limitations. The magnitude of the associations between biophysical factors and PA participation was small for light PA. The higher the intensity of regular PA, the less likely older adults with CKD were to participate. Practitioners could consider the psychosocial characteristics of the older adults with CKD and facilitate their participation in PA.

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The Association of Natural Elements With Physical Activity Intensity During Trail Use by Older Adults

Journal of Physical Activity and Health ◽

10.1123/jpah.9.5.718 ◽

2012 ◽

Vol 9 (5) ◽

pp. 718-723 ◽

Cited By ~ 11

Author(s):

Anna Elizabeth Price ◽

Julian A. Reed ◽

Savannah Long ◽

Andrea L. Maslow ◽

Steven P. Hooker

Keyword(s):

Physical Activity ◽

Older Adults ◽

South Carolina ◽

Effective Strategy ◽

Activity Type ◽

Physical Activity Intensity ◽

Trail Use ◽

Activity Intensity ◽

Natural Element ◽

Sunny Weather

Background:Public health efforts to promote trail use among older adults could be an effective strategy for increasing physical activity among older adults. However, research is needed to better understand factors that influence older adults’ use of trails.Purpose:To examine the association between variations in natural elements (ie, season, weather, temperature) and older adults’ overall trail use and physical activity intensity during trail use.Methods:A rail-trail in South Carolina was systematically evaluated (2006–2009) using The System for Observing Play and Recreation in Communities.Results:The majority (74.2%) of the 1053 older trail users observed were walking; 25.9% were observed in vigorous activity. Older adults were most often observed using the trail in the spring (40.1%), sunny weather (76.8%), and moderate temperatures (56.2%). Significant differences in activity type by natural element variables were identified.Conclusions:When promoting trail use among older adults, natural elements should be considered.

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Employing Machine Learning to Estimate Hallmark Measures of Physical Activities from Wrist-worn Devices Across Age Groups

10.20944/preprints202103.0333.v1 ◽

2021 ◽

Author(s):

Mamoun T. Mardini ◽

Chen Bai ◽

Amal A. Wanigatunga ◽

Santiago Saldana ◽

Ramon Casanova ◽

...

Keyword(s):

Physical Activity ◽

Machine Learning ◽

Energy Expenditure ◽

Age Groups ◽

Physical Activities ◽

Accelerometer Data ◽

Activity Type ◽

Physical Activity Intensity ◽

Activity Intensity ◽

Score Range

Wrist-worn fitness trackers and smartwatches are proliferating with an incessant attention towards health tracking. Given the growing popularity of wrist-worn devices across all age groups, a rigorous evaluation for recognizing hallmark measures of physical activities and estimating energy expenditure is needed to compare their accuracy across the lifespan. The goal of the study was to build machine learning models to recognize physical activity type (sedentary, locomotion, and lifestyle) and intensity (low, light, and moderate), identify individual physical activities, and estimate energy expenditure. The primary aim of this study was to build and compare models for different age groups: young [20-50 years], middle (50-70 years], and old (70-89 years]. Participants (n = 253, 62% women, aged 20-89 years old) performed a battery of 33 daily activities in a standardized laboratory setting while wearing a portable metabolic unit to measure energy expenditure that was used to gauge metabolic intensity. Tri-axial accelerometer collected data at 80-100 Hz from the right wrist that was processed for 49 features. Results from random forests algorithm were quite accurate in recognizing physical activity type, the F1-Score range across age groups was: sedentary [0.955 – 0.973], locomotion [0.942 – 0.964], and lifestyle [0.913 – 0.949]. Recognizing physical activity intensity resulted in lower performance, the F1-Score range across age groups was: sedentary [0.919 – 0.947], light [0.813 – 0.828], and moderate [0.846 – 0.875]. The root mean square error range was [0.835 – 1.009] for the estimation of energy expenditure. The F1-Score range for recognizing individual physical activities was [0.263 – 0.784]. Performances were relatively similar and the accelerometer data features were ranked similarly between age groups. In conclusion, data features derived from wrist worn accelerometers lead to high-moderate accuracy estimating physical activity type, intensity and energy expenditure and are robust to potential age-differences.

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A Prospective Study of Physical Activity Intensity and Change in Adiposity in Middle-Aged Women

American Journal of Health Promotion ◽

10.4278/0890-1171-21.6.492 ◽

2007 ◽

Vol 21 (6) ◽

pp. 492-497 ◽

Cited By ~ 15

Author(s):

Bruce W. Bailey ◽

Larry A. Tucker ◽

Travis R. Peterson ◽

James D. LeCheminant

Keyword(s):

Physical Activity ◽

Body Composition ◽

Body Fat ◽

Weight Maintenance ◽

Management Strategies ◽

Physical Activity Intensity ◽

Middle Aged ◽

Measured Intensity ◽

Activity Intensity ◽

Mountain West

Purpose. To determine the extent to which objectively measured intensity of physical activity (PA) predicts change in body fat (BF%) in women. Design. Prospective cohort study of PA intensity and body composition in middle-aged women. Setting. The study took place in a metropolitan Mountain West community. Subjects. Two hundred and twenty-eight women participated in two assessment periods separated by 20 months. Measures. Each assessment period consisted of seven consecutive days of monitoring, followed by body composition testing. Analysis. The general linear model using partial correlations and Mantel-Haenszel χ2 tests were performed. Results. At baseline and follow-up, women who participated in vigorous PA were leaner than women who participated in moderate or light PA (p < .05). Longitudinal results indicated that a greater proportion of women who decreased PA intensity over the 20 months also increased BF% (66%), compared to participants who increased or maintained PA intensity (47%) (p < .05). Conclusions. PA intensity seems to play a role in long-term weight maintenance. Reducing PA intensity increases the risk of BF% gain in women. Efforts to help women maintain PA intensity along with other weight management strategies may prove beneficial in preventing unwanted body fat gain in middle-aged women.

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