Validity of a brief self-report instrument for assessing compliance with physical activity guidelines amongst adolescents

2012 ◽  
Vol 15 (2) ◽  
pp. 136-141 ◽  
Author(s):  
Nicola D. Ridgers ◽  
Anna Timperio ◽  
David Crawford ◽  
Jo Salmon
Keyword(s):  
Physical Activity ◽  
Self Report ◽  
Physical Activity Guidelines

Likelihood of Meeting Physical Activity Guidelines of Veterans Who Are Obese by Disability Status

2019 ◽  
Vol 33 (8) ◽  
pp. 1194-1199
Author(s):  
Vijay Vasudevan ◽  
Erin Bouldin ◽  
Shannon Bloodworth ◽  
Linda Rocafort
Keyword(s):  
Physical Activity ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Self Report ◽  
Behavioral Risk ◽  
Mobility Limitations ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Aerobic Activity ◽  
Disability Status

Purpose:The purpose of this study was to explore the likelihood of meeting the physical activity guidelines in veterans who are obese by disability status.Design:We used data from the 2017 Behavioral Risk Factor Surveillance System, a cross-sectional telephone survey. The mean response rate was 44.9%.Setting:Respondents came from all 50 states, District of Columbia, and 3 US territories.Patients:Respondents included veterans self-reporting being obese (N = 13 798).Measures:We created a mutually exclusive disability variable: no disability, multiple disability, and limitations only with hearing, vision, cognitive, mobility, Activities of Daily Living, or Instrumental Activities of Daily Living. Physical activity guidelines were defined as 150 minutes/week of aerobic activity and 2 days/week of strength activities.Analysis:Prevalence ratios (PRs) were calculated by performing separate log-binomial regression models for meeting strength and aerobic recommendations on veterans who were obese.Results:Obese veterans with mobility limitations only or multiple disabilities were significantly less likely to meet the aerobic (PR = 0.74, P = .002 and PR = .62, P = .021, respectively) or strength (PR = .76, P < .001 and PR = 0.74, P < .001, respectively) recommendations, compared to not having a disability (n = 7964).Conclusions:Inactivity could be explained by a lack of inclusive weight loss programs for veterans with disabilities and barriers to physical activity encountered by people with disabilities. Two primary limitations of this study are self-report of obesity and physical activity and exclusion of adults in institutional settings.

scholarly journals Validity and Reliability of Three Self-Report Instruments for Assessing Attainment of Physical Activity Guidelines in University Students

2017 ◽  
Vol 21 (3) ◽  
pp. 134-141 ◽  
Author(s):  
Joseph J. Murphy ◽  
Marie H. Murphy ◽  
Ciaran MacDonncha ◽  
Niamh Murphy ◽  
Alan M. Nevill ◽  
...  
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Self Report ◽  
Validity And Reliability ◽  
Physical Activity Guidelines

scholarly journals Individual and Co-occurring SNAP Risk Factors

2016 ◽  
Vol 18 (6) ◽  
pp. 298-304 ◽  
Author(s):  
Julia M. Balto ◽  
Ipek Ensari ◽  
Elizabeth A. Hubbard ◽  
Naiman Khan ◽  
Jennifer L. Barnes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Smoking Status ◽  
Dietary Guidelines ◽  
Self Report ◽  
Activity Levels ◽  
Physical Activity Guidelines ◽  
Poor Diet ◽  
Physical Activity Levels ◽  
Insufficient Physical Activity

Background: Smoking, poor nutrition, excess alcohol consumption, and insufficient physical activity underlie most preventable causes of morbidity in the general population and may be associated with comorbidities and health outcomes in multiple sclerosis (MS). However, the frequency of co-occurrence of these risk factors in people with MS remains unclear. Methods: Sixty-nine individuals with MS completed self-report measures of smoking status, nutrition, alcohol use, physical activity levels, and sociodemographic and clinical characteristics. The data were analyzed using t tests and χ2 analyses. Results: Poor diet was the most common risk factor, with 85.5% of the sample not meeting dietary guidelines. Of participants with two risk factors, 90.3% were not meeting dietary and physical activity guidelines. Seventy-three percent of women were not meeting physical activity guidelines, compared with 38% of men (χ2 = 7.5, P &lt; .01). There were also differential rates by sex of the most commonly co-occurring risk factors: 65% of women reported the co-occurrence of insufficient physical activity and poor diet, compared with 38% of men (χ2 = 4.2, P = .05). Conclusions: These results indicate that 85.5% of the sample was not meeting nutrition guidelines, 90.3% of participants with two risk factors reported the co-occurrence of poor diet and insufficient levels of physical activity, and physical activity levels and the total number of risk factors varied across sex.

Relations Between Sedentary Behavior and FITNESSGRAM Healthy Fitness Zone Achievement and Physical Activity

2014 ◽  
Vol 11 (5) ◽  
pp. 1006-1011 ◽  
Author(s):  
Jacob S. Tucker ◽  
Scott Martin ◽  
Allen W. Jackson ◽  
James R. Morrow ◽  
Christy A. Greenleaf ◽  
...  
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
Physical Fitness ◽  
Sedentary Behavior ◽  
Self Report ◽  
Sedentary Behaviors ◽  
Middle School Children ◽  
Physical Activity Guidelines ◽  
Health Related ◽  
National Physical Activity

Purpose:To investigate the relations between sedentary behaviors and health-related physical fitness and physical activity in middle school boys and girls.Methods:Students (n = 1515) in grades 6–8 completed the Youth Risk Behavior Survey sedentary behavior questions, the FITNESSGRAM physical fitness items, and FITNESSGRAM physical activity self-report questions.Results:When students reported ≤ 2 hours per day of sedentary behaviors, their odds of achieving the FITNESSGRAM Healthy Fitness Zone for aerobic capacity, muscular strength and endurance, flexibility, and body composition increased. Similarly, the odds of achieving physical activity guidelines for children increased when students reported ≤ 2 hours per day of sedentary behaviors.Conclusions:Results illustrate the importance of keeping sedentary behaviors to ≤ 2 hours per day in middle school children, thus increasing the odds that the student will achieve sufficient health-related fitness benefits and be more likely to achieve the national physical activity guidelines.

Meeting Physical Activity Guidelines and Average Daily Steps in a Working Population

2004 ◽  
Vol 1 (3) ◽  
pp. 218-226 ◽  
Author(s):  
Ruth Miller ◽  
Wendy Brown
Keyword(s):  
Physical Activity ◽  
Standard Deviation ◽  
Self Report ◽  
Daily Step ◽  
Working Population ◽  
Physical Activity Guidelines ◽  
Significant Difference ◽  
Steps Per Day ◽  
National Physical Activity ◽  
Level Of Agreement

Purpose:The aims of this study were to investigate the relationships and agreement between average number of steps taken per day and compliance with Australian physical activity guidelines in a sample of working Australian adults.Methods:One hundred-eighty-five adults wore a pedometer and recorded the number of steps taken each day for 7 d. On the 8th day, they completed a self-report survey that asked about frequency and duration of different activities during the previous week.Results:The average number of steps per day was 8543 (standard deviation = 2466) for men (n = 74) and 9093 (2926) for women (n = 111; no significant difference). Just over half the men (53%) and 45% of the women met the current national physical activity guidelines (no significant difference). Average number of steps per day was higher in those who met the guidelines [9547 (2655), n = 89] than in those who did not [8220 (2702), n = 96; P < 0.0001]. In general, the level of agreement between the 2 measures was only moderate. There was, however, better agreement between the 2 measures in women (Spearman’s ρ = 0.35; % agreement 67.5%; κ = 0.33, P < 0.0001) than in men (ρ = 0.21; % agreement 52.7%; κ = 0.08, NS).Conclusions:This study provides an indication of average daily step counts among adults who do and do not meet physical activity guidelines and some evidence on which to base appropriate “step targets” that might be recommended for health benefits for adults.

Prevalence of Muscle-Strengthening Activities in Women: The WIN Study

2013 ◽  
Vol 10 (7) ◽  
pp. 1008-1015
Author(s):  
Jakob L. Vingren ◽  
James R. Morrow ◽  
Elaine Trudelle-Jackson ◽  
Merly T. Mathew
Keyword(s):  
Physical Activity ◽  
Resistance Exercise ◽  
Strength Training ◽  
Community Dwelling ◽  
Self Report ◽  
General Question ◽  
Physical Activity Guidelines ◽  
Muscle Strengthening ◽  
Time Period ◽  
National Physical Activity

Background:Aerobic and muscle-strengthening activities are related to morbidities and mortality. Resistance exercise/strength training items are included in national surveys, but the manner in which muscle-strengthening activity is queried varies among these surveys.Purpose:The purpose of this study was to use different self-report measures to examine the prevalence of meeting the 2008 Physical Activity Guidelines for Americans regarding muscle-strengthening activities among women.Methods:We surveyed 606 community-dwelling women at 4 points in time across a 1.5- to 3-year time period to determine whether the respondents met the national physical activity guidelines for performing muscle-strengthening activities ≥ 2 days per week.Results:Results were consistent across time but depended on the manner in which the question was asked. If asked to reflect over the past month or a general question about the typical number of days engaged, approximately 40% of women reported engaging in ≥ 2 days per week of resistance exercise/strength training. However, when reports were obtained weekly for 13 weeks, only approximately 18% of respondents met the guidelines.Conclusion:Results indicate that the timing and nature of questioning can substantially influence the self-reported prevalence of muscle-strengthening physical activities for community-dwelling women.

Physical activity and inactivity profiling: the next generationThis article is part of a supplement entitled Advancing physical activity measurement and guidelines in Canada: a scientific review and evidence-based foundation for the future of Canadian physical activity guidelines co-published by Applied Physiology, Nutrition, and Metabolism and the Canadian Journal of Public Health. It may be cited as Appl. Physiol. Nutr. Metab. 32(Suppl. 2E) or as Can. J. Public Health 98(Suppl. 2).

2007 ◽  
Vol 32 (S2E) ◽  
pp. S195-S207 ◽  
Author(s):  
Dale W. Esliger ◽  
Mark S. Tremblay
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Measurement Techniques ◽  
Self Report ◽  
Future Research ◽  
Activity Measurement ◽  
Physical Activity Guidelines ◽  
Physical Activity Measurement ◽  
Physical Activity Monitoring

The accurate measurement of habitual physical activity is fundamental to the study of the relationship between physical activity and health. However, many physical activity measurement techniques produce variables accurate to only the day level, such as total energy expenditure via self-report questionnaire, pedometer step counts, or accelerometer measurements of minutes of moderate to vigorous physical activity. Monitoring technologies providing more detailed information on physical activity and inactivity behaviour can now be used to explore the relationships between health and movement frequency, intensity, and duration more comprehensively. This paper explores the activity–inactivity profile that can be acquired through objective monitoring, with a focus on accelerometry. Using previously collected objective data, a detailed physical activity profile is presented and case study examples of data utilization and interpretation are provided. The rich detail captured through comprehensive profiling creates new surveillance and study possibilities and could possibly inform new physical activity guidelines. Data are presented in various formats to demonstrate the dangers of misinterpretation when monitoring population adherence to Canada’s physical activity guidelines. Recommendations for physical activity–inactivity profiling are provided and future research needs identified.

Source and Size of Emotional and Financial-Related Social Support Network on Physical Activity Behavior Among Older Adults

2016 ◽  
Vol 13 (7) ◽  
pp. 776-779 ◽  
Author(s):  
Paul D. Loprinzi ◽  
Chelsea Joyner
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Support Network ◽  
Social Support Network ◽  
Physical Activity Guidelines ◽  
Activity Behavior ◽  
Emotional Social Support

Objective:To examine the association of source of emotional- and financial-related social support and size of social support network on physical activity behavior among older adults.Methods:Data from the 1999–2006 NHANES were used (N = 5616; 60 to 85 yrs). Physical activity and emotional- and financial-related social support were assessed via self-report.Results:Older adults with perceived having emotional social support had a 41% increased odds of meeting physical activity guidelines (OR = 1.41; 95% CI: 1.01–1.97). The only specific sources of social support that were associated with meeting physical activity guidelines was friend emotional support (OR = 1.19; 95% CI: 1.01–1.41) and financial support (OR = 1.28; 95% CI: 1.09–1.49). With regard to size of social support network, a dose-response relationship was observed. Compared with those with 0 close friends, those with 1 to 2, 3 to 4, 5, and 6+ close friends, respectively, had a 1.70-, 2.38-, 2.57-, and 2.71-fold increased odds of meeting physical activity guidelines. There was some evidence of gender- and age-specific associations between social support and physical activity.Conclusions:Emotional- and financial-related social support and size of social support network are associated with higher odds of meeting physical activity guidelines among older adults.

Efficacy of an activity tracker-and app intervention to increase physical activity in the entire family: Pilot single-arm intervention study (Preprint)

2019 ◽  
Author(s):  
Stephanie Schoeppe ◽  
Jo Salmon ◽  
Susan L. Williams ◽  
Deborah Power ◽  
Stephanie Alley ◽  
...  
Keyword(s):  
Physical Activity ◽  
Intervention Study ◽  
Post Intervention ◽  
Entire Family ◽  
Physical Activity Guidelines ◽  
Mothers And Fathers ◽  
Activity Tracker ◽  
Activity Trackers ◽  
Family Program ◽  
Intervention Efficacy

BACKGROUND Interventions using activity trackers and smartphone apps have demonstrated their ability to increase physical activity in children and adults. However, they have not been tested in entire families. Further, few family-centred interventions have actively involved both parents, and assessed intervention efficacy separately for children, mothers and fathers. OBJECTIVE This study aimed to examine the short-term efficacy of an activity tracker and app intervention to increase physical activity in the entire family (children, mothers and fathers). METHODS This was a pilot single-arm intervention study with pre-post measures. Between 2017-2018, 40 families (58 children aged 6-10 years, 39 mothers, 33 fathers) participated in the 6-week Step it Up Family program in Queensland, Australia. Using commercial activity trackers combined with apps (Garmin Vivofit Jr for children, Vivofit 3 for adults), the intervention included individual and family-level goal-setting, self-monitoring, performance feedback, family step challenges, family social support and modelling, weekly motivational text messages, and an introductory session delivered face-to-face or via telephone. Parent surveys were used to assess intervention efficacy measured as pre-post intervention changes in moderate-to-vigorous physical activity (MVPA) in children, mothers and fathers. RESULTS Thirty-eight families completed the post intervention survey (95% retention). At post intervention, MVPA had increased in children by 58 min/day (boys: 54 min/day, girls: 62 min/day; all P < .001). In mothers, MVPA increased by 27 min/day (P < .001), and in fathers, it increased by 31 min/day (P < .001). Furthermore, the percentage of children meeting Australia’s physical activity guidelines for children (≥60 MVPA min/day) increased from 34% to 89% (P < .001). The percentage of mothers and fathers meeting Australia’s physical activity guidelines for adults (≥150 MVPA min/week) increased from 8% to 57% (P < .001) in mothers, and from 21% to 68% (P < .001) in fathers. CONCLUSIONS Findings suggest that an activity tracker and app intervention is an efficacious approach to increasing physical activity in entire families to meet national physical activity guidelines. The Step it Up Family program warrants further testing in a larger, randomised controlled trial to determine its long-term impact. CLINICALTRIAL No trial registration as this is not an RCT. It is a pilot single-arm intervention study

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