Development and validation of a very brief questionnaire measure of physical activity in adults with coronary heart disease

2007 ◽  
Vol 14 (5) ◽  
pp. 615-623 ◽  
Author(s):  
Alison Orrell ◽  
Patrick Doherty ◽  
Jeremy Miles ◽  
Robert Lewin
Keyword(s):  
Physical Activity ◽  
Heart Disease ◽  
Confidence Intervals ◽  
Total Activity ◽  
Activity Level ◽  
Activity Score ◽  
Moderate Intensity ◽  
Accelerometer Data ◽  
Metabolic Equivalent ◽  
Activity Measure

Background The aim of this study was to validate the Total Activity Measure, a brief questionnaire, to measure physical activity in an older adult population with heart disease. Methods Two versions of the Total Activity Measure were administered twice, 7 days apart. The Total Activity Measure 1 asked respondents for the frequency and average duration of bouts of physical activity at three different intensity levels per week, whereas the Total Activity Measure 2 asked respondents for the total time spent in activity at each activity level per week. Questionnaire accuracy was studied in 62 men and 15 women aged 47-84 years, by repeatability and comparison of both administrations of the Total Activity Measure 1 and Total Activity Measure 2 with 7-day RT3 accelerometer data. Results Seventy-three adults (58 men, 15 women) were used for all statistical analyses. Intraclass correlation coefficients for the Total Activity Measure 1 and Total Activity Measure 2 total activity scores (metabolic equivalent per minute) were r = 0.73 (95% confidence intervals, 0.56-0.83) and r = 0.82 (95% confidence intervals, 0.71-0.88), respectively. Correlations between the Total Activity Measure 1 and RT3 accelerometer for total activity score (metabolic equivalent per minute) were significant, r = 0.26 at time 1 and r = 0.27 at time 2 for moderate intensity activities. Correlations between the Total Activity Measure 2 and RT3 accelerometer for total activity score (metabolic equivalent per minute) were also significant, r = 0.38 at time 1 and r = 0.36 at time 2, r = 0.31 at time 2 for strenuous intensity activities and r = 0.29 at time 1 and r = 0.25 at time 2 for moderate intensity activities. Participants overestimated the amount of physical activity on both questionnaires as compared with the RT3 accelerometer. Conclusions The Total Activity Measure 2 was reasonably accurate in assessing total and moderate intensity activity over a 7-day period and demonstrated good test-retest reliability. The Total Activity Measure 1 was less accurate. The Total Activity Measure 2 is a suitable measure of total or moderate intensity physical activity for surveys and audits in an adult cardiac population. Eur J Cardiovasc Prev Rehabil 14:615-623 © 2007 The European Society of Cardiology

The effect of prenatal maternal physical activity and lifestyle in perinatal outcome: results from a Greek study

2019 ◽  
Vol 30 (2) ◽  
pp. 328-332
Author(s):  
Maria G Babili ◽  
Charalampia Amerikanou ◽  
Efstathia Papada ◽  
Georgios Christopoulos ◽  
Chara Tzavara ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vaginal Delivery ◽  
Gestational Age ◽  
Educational Level ◽  
Activity Level ◽  
Activity Score ◽  
Large For Gestational Age ◽  
Moderate Intensity ◽  
Sports Activity ◽  
Anthropometric Characteristics

Abstract Background Several maternal characteristics, including lifestyle, have been associated with perinatal outcomes and birth anthropometric characteristics of the offspring. This study aimed to identify whether physical activity (PA) and other lifestyle parameters of the mother are associated with the pregnancy outcomes or with the infant’s birth anthropometric characteristics. Methods Participants were recruited in Mitera Maternity Hospital, Athens, Greece. Socio-demographic, medical history and anthropometric assessment took place. PA during pregnancy was assessed with the Pregnancy Physical Activity Questionnaire. Dietary assessment was conducted with the Food Frequency Questionnaire and adherence to the Mediterranean diet was evaluated with the MedDiet score. Birth weight and gestational age data were also collected. Results Sedentary-intensity activity scores increased with increased educational level, while moderate-intensity activity scores decreased with increased educational level. Pregnant women who delivered large for gestational age infants had lower sports activity score. Higher vigorous and sports activity score was demonstrated in cases with a vaginal delivery compared with caesarean section. PA score was significantly and positively correlated with several nutrient intakes and PA was higher in women with a healthier nutritional pattern. Increased MedDiet scores were found in mothers with increased educational level. Conclusions Overall, PA was higher in women with a healthier nutritional pattern. An increased vs. a low activity level during pregnancy is positively associated with vaginal delivery and with the size of the offspring.

scholarly journals Effect of Physical Activity on Blood Pressure Distribution among School Children

2015 ◽  
Vol 2015 ◽  
pp. 1-4 ◽  
Author(s):  
Anisa M. Durrani ◽  
Waseem Fatima
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
School Children ◽  
Total Activity ◽  
Activity Level ◽  
Activity Score ◽  
24 Hour Recall ◽  
Working Day ◽  
The Relationship

The present study analyzed the relationship between physical activity and blood pressure in 701 school children aged 12–16 years (girls = 338, boys = 363). During the baseline examination, systolic blood pressure (SBP) and diastolic blood pressure (DBP), height, weight, and 24-hour recall of the working day activity with duration were recorded. Total activity score and type of activity were calculated by weighing the activity level. Mean, standard deviation, and correlation coefficient were calculated by using SPSS 12.0 version. The results revealed that rise in blood pressure was directly proportional to the increase in age. The range of systolic blood pressure was found to be high in low risk blood pressure (LBP) group than in elevated blood pressure (EBP) group showing direct association of activity level and systolic blood pressure. Physical activity score was found to be more in LBP group than in EBP group. Our results support the hypothesis that SBP is independently related to the level of habitual physical activity in children.

scholarly journals Comparative analysis of reported physical activity from leisure centres’ members versus the general population in Spain

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e043963
Author(s):  
Jorge López Fernández ◽  
Alejandro López-Valenciano ◽  
Xián Mayo ◽  
Elizabeth Horton ◽  
Ivan Clavel ◽  
...  
Keyword(s):  
Physical Activity ◽  
General Population ◽  
Spanish Population ◽  
Moderate Intensity ◽  
Short Version ◽  
Lower Prevalence ◽  
Metabolic Equivalent ◽  
Outcomes Measures ◽  
Gender And Age ◽  
And Gender

Objectives(1) To describe the physical activity (PA) levels of the members of a Spanish leisure centre operator according to age and gender; (2) to describe the differences in the three PA levels between the members of a Spanish leisure centre operator and the general Spanish population considering the PA Eurobarometer data according to their gender and age and (3) to explore the intensity origin of the PA either in Spanish members of leisure centres or the Spanish population considering their gender.DesignDescriptive epidemiology study.ParticipantsData from 16 Spanish leisure centres (n=3627) and from the 2017 Eurobarometer 472 for Spain (n=1002) were used for this research.Primary and secondary outcomes measuresThe PA levels were analysed with the International Physical Activity Questionnaire short version, and respondents were grouped into physical inactivity (PIA), moderate-PA and high-PA. Moreover, gender (men or women) and age (18–29 years; 30–44 years; 45–59 years; 60–69 years; ≥70 years) were considered. Total metabolic equivalent (MET)-min/week, as well as total MET-min/week for walking intensity, moderate intensity and vigorous intensity were recorded.ResultsLeisure centres showed a lower prevalence of PIA and a higher prevalence of high-PA than the general population (p<0.05). Women displayed a higher prevalence of PIA and lower prevalence of high-PA than men (p<0.05). The prevalence of PIA increases with age while the prevalence of high-PA decreases.ConclusionLeisure centres engage most of their members in regular PA, including women and older adults, and these members also perform a higher number of MET in vigorous PA, than the general population.

scholarly journals ‘Tracking Together’—Simultaneous Use of Human and Dog Activity Trackers: Protocol for a Factorial, Randomized Controlled Pilot Trial

2021 ◽  
Vol 18 (4) ◽  
pp. 1561
Author(s):  
Wasantha Jayawardene ◽  
Lesa Huber ◽  
Jimmy McDonnell ◽  
Laurel Curran ◽  
Sarah Larson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Controlled Trial ◽  
Pilot Trial ◽  
Activity Level ◽  
Analysis Of Covariance ◽  
Moderate Intensity ◽  
Randomized Controlled ◽  
Activity Trackers ◽  
Dog Owners ◽  
Simultaneous Use

Dog-walkers are more likely to achieve moderate-intensity physical activity. Linking the use of activity trackers with dog-walking may be beneficial both in terms of improving the targeted behavior and increasing the likelihood of sustained use. This manuscript aims to describe the protocol of a pilot study which intends to examine the effects of simultaneous use of activity trackers by humans and their dogs on the physical activity level of humans and dogs. This study uses nonprobability sampling of dog owners of age 25–65 (N = 80) and involves four parallel groups in an observational randomized controlled trial with a 2 × 2 factorial design, based on use of dog or human activity trackers for eight weeks. Each group consists of dog-human duos, in which both, either or none are wearing an activity tracker for eight weeks. At baseline and end, all human subjects wear ActiGraph accelerometers that quantify physical activity for one week. Commercial activity trackers are used for tracking human and dog activity remotely. Additional measures for humans are body composition and self-reported physical activity. Dog owners also report dog’s weight and physical activity using a questionnaire. A factorial analysis of covariance (ANCOVA) is used to compare physical activity across the four groups from baseline to week-10.

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.

Classification and Processing of 24-Hour Wrist Accelerometer Data

2018 ◽  
Vol 1 (2) ◽  
pp. 51-59 ◽  
Author(s):  
Anna Pulakka ◽  
Eric J. Shiroma ◽  
Tamara B. Harris ◽  
Jaana Pentti ◽  
Jussi Vahtera ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Time ◽  
Total Activity ◽  
Sleep Time ◽  
Accelerometer Data ◽  
Classification Methods ◽  
Wake Time ◽  
Wear Time ◽  
Aging Study ◽  
Activity Measures

Background: An important step in accelerometer data analysis is the classification of continuous, 24-hour data into sleep, wake, and non-wear time. We compared classification times and physical activity metrics across different data processing and classification methods.Methods: Participants (n = 576) from the Finnish Retirement and Aging Study (FIREA) wore an accelerometer on their non-dominant wrist for seven days and nights and filled in daily logs with sleep and waking times. Accelerometer data were first classified as sleep or wake time by log, and Tudor-Locke, Tracy, and ActiGraph algorithms. Then, wake periods were classified as wear or non-wear by log, Choi algorithm, and wear sensor. We compared time classification (sleep, wake, and wake wear time) as well as physical activity measures (total activity volume and sedentary time) across these classification methods.Results:M(SD) nightly sleep time was 467 (49) minutes by log and 419 (88), 522 (86), and 453 (74) minutes by Tudor-Locke, Tracy, and ActiGraph algorithms, respectively. Wake wear time did not differ substantially when comparing Choi algorithm and the log. The wear sensor did not work properly in about 29% of the participants. Daily sedentary time varied by 8–81 minutes after excluding sleep by different methods and by 1–18 minutes after excluding non-wear time by different methods. Total activity volume did not substantially differ across the methods.Conclusion: The differences in wear and sedentary time were larger than differences in total activity volume. Methods for defining sleep periods had larger impact on outcomes than methods for defining wear time.

scholarly journals Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data

2011 ◽  
Vol 5 ◽  
pp. 328-335 ◽  
Author(s):  
Stephan Bosch ◽  
Raluca Marin-Perianu ◽  
Paul Havinga ◽  
Mihai Marin-Perianu
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Energy Efficient ◽  
Activity Level ◽  
Accelerometer Data

scholarly journals Using Accelerometers in Youth Physical Activity Studies: A Review of Methods

2013 ◽  
Vol 10 (3) ◽  
pp. 437-450 ◽  
Author(s):  
Kelli L. Cain ◽  
James F. Sallis ◽  
Terry L. Conway ◽  
Delfien Van Dyck ◽  
Lynn Calhoon
Keyword(s):  
Physical Activity ◽  
Decision Rule ◽  
Decision Rules ◽  
Moderate Intensity ◽  
Accelerometer Data ◽  
Cut Points ◽  
Moderate Intensity Physical Activity ◽  
Youth Physical Activity ◽  
Intensity Physical Activity ◽  
Over Time

Background:In 2005, investigators convened by the National Cancer Institute recommended development of standardized protocols for accelerometer use and reporting decision rules in articles. A literature review was conducted to document accelerometer methods and decision rule reporting in youth physical activity articles from 2005−2010.Methods:Nine electronic databases identified 273 articles that measured physical activity and/or sedentary behavior using the most-used brand of accelerometer (ActiGraph). Six key methods were summarized by age group (preschool, children, and adolescents) and trends over time were examined.Results:Studies using accelerometers more than doubled from 2005−2010. Methods included 2 ActiGraph models, 6 epoch lengths, 6 nonwear definitions, 13 valid day definitions, 8 minimum wearing day thresholds, 12 moderate-intensity physical activity cut points, and 11 sedentary cut points. Child studies showed the most variation in methods and a trend toward more variability in cut points over time. Decision rule reporting improved, but only 54% of papers reported on all methods.Conclusion:The increasing diversity of methods used to process and score accelerometer data for youth precludes comparison of results across studies. Decision rule reporting is inconsistent, and trends indicate declining standardization of methods. A methodological research agenda and consensus process are proposed.

Knowledge of the Adult and Youth 2008 Physical Activity Guidelines for Americans

2019 ◽  
Vol 16 (8) ◽  
pp. 616-622 ◽  
Author(s):  
Eric T. Hyde ◽  
John D. Omura ◽  
Kathleen B. Watson ◽  
Janet E. Fulton ◽  
Susan A. Carlson
Keyword(s):  
Physical Activity ◽  
Confidence Interval ◽  
Parental Education ◽  
The United States ◽  
National Sample ◽  
Activity Level ◽  
Moderate Intensity ◽  
National Guidelines ◽  
Physical Activity Guidelines ◽  
Youth Physical Activity

Background: To estimate the proportion of adults’ and parents’ knowledge of the adult aerobic and youth physical activity guidelines, respectively, in the United States. Methods: Data were analyzed from a national sample of adults in the 2017 ConsumerStyles survey. Prevalence of knowledge of the adult aerobic guideline (ie, 150 min/wk of moderate-intensity activity) was estimated among all respondents (n = 3910) and of the youth guideline (ie, 60 min/d of physical activity on 7 d/wk) among parents (n = 1288). Odds ratios were estimated using logistic regression models adjusting for demographic characteristics. Results: Overall, 2.5% (95% confidence interval, 2.0–3.1) of adults and 23.0% (95% confidence interval, 20.5–25.7) of parents were knowledgeable of the adult aerobic and youth guidelines, respectively. After adjustment, odds of knowledge of the adult guideline differed significantly by sex and physical activity level, whereas knowledge of the youth guideline differed by parental education level. Conclusions: Despite the release of the 2008 Physical Activity Guidelines for Americans nearly a decade ago, most US adults and parents lack knowledge of the adult aerobic and youth physical activity guidelines. Effective communication strategies may help raise awareness of current and future editions of national guidelines for physical activity.

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