scholarly journals Relationship of Weekly Activity Minutes to Metabolic Syndrome in Prediabetes: The Healthy Living Partnerships to Prevent Diabetes

2013 ◽  
Vol 10 (5) ◽  
pp. 690-698 ◽  
Author(s):  
Erica Rosenberger Hale ◽  
David C. Goff ◽  
Scott Isom ◽  
Caroline Blackwell ◽  
Melicia C. Whitt-Glover ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Diabetes Prevention ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Diabetes Prevention Program ◽  
Total Activity ◽  
Healthy Living ◽  
Relationship Of ◽  
Activity Questionnaire

Background:Physical inactivity contributes to metabolic syndrome (MetS) in overweight/obesity. However, little is known about this relationship in prediabetes.Methods:The study purpose is to examine relationships between physical activity (PA) and MetS in prediabetes. The Healthy Living Partnerships to Prevent Diabetes tested a community translation of the Diabetes Prevention Program (DPP). Three hundred one overweight/obese prediabetics provided walking minutes/week (WM) and total activity minutes/week (AM) via the International Physical Activity Questionnaire. MetS was at least 3 of waist (men ≥ 102 cm, women ≥ 88 cm), triglycerides (≥150 mg·dl), blood pressure (≥130·85 mm Hg), glucose (≥100mg·dl), and HDL (men < 40mg·dl, women < 50mg·dl).Results:The sample was 57.5% female, 26.7% nonwhite/Hispanic, 57.9 ± 9.5 years and had a body mass index (BMI) 32.7 ± 4 kg·m2. Sixty percent had MetS. Eighteen percent with MetS reported at least 150 AM compared with 29.8% of those without MetS. The odds of MetS was lower with greater AM (Ptrend = .041) and WM (Ptrend = .024). Odds of MetS with 0 WM were 2.08 (P = .046) and with no AM were 2.78 (P = .009) times those meeting goal. One hour additional WM led to 15 times lower MetS odds.Conclusions:Meeting PA goals reduced MetS odds in this sample, which supported PA for prediabetes to prevent MetS.

Test–Retest Reliability of the Twin Cities Walking Survey

2009 ◽  
Vol 6 (1) ◽  
pp. 119-131 ◽  
Author(s):  
Ann Forsyth ◽  
J. Michael Oakes ◽  
Kathryn H. Schmitz
Keyword(s):  
Physical Activity ◽  
International Physical Activity Questionnaire ◽  
Total Activity ◽  
Twin Cities ◽  
Kappa Statistics ◽  
Good Reliability ◽  
Retest Reliability ◽  
Social Features ◽  
Test Retest Reliability ◽  
Activity Questionnaire

Background:The Twin Cities Walking Study measured the associations of built environment versus socioeconomic and psychosocial variables with total physical activity and walking for 716 adults.Methods:This article reports on the test–retest reliability of the survey portion of the study. To test the reliability of the study measures, 158 respondents completed measures twice within 1 to 4 weeks. Agreement between participants’ responses was measured using Pearson r and Spearman rho, and kappa statistics.Results:Demographic questions are highly reliable (R > .8). Questions about environmental and social features are typically less reliable (rho range = 0.42– 0.91). Reliability of the International Physical Activity Questionnaire (last 7 days version) was low (rho = 0.15 for total activity).Conclusions:Much of the survey has acceptable-to-good reliability. The low test–retest reliability points to potential limitations of using a single administration of the IPAQ to characterize habitual physical activity. Implications for sound inference are accordingly complicated.

scholarly journals The active living gender’s gap challenge: 2013–2017 Eurobarometers physical inactivity data show constant higher prevalence in women with no progress towards global reduction goals

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
X. Mayo ◽  
G. Liguori ◽  
E. Iglesias-Soler ◽  
R. J. Copeland ◽  
I. Clavel San Emeterio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
World Health ◽  
Activity Levels ◽  
The World ◽  
Health Organization ◽  
Global Reduction ◽  
Activity Questionnaire ◽  
The Eu

Abstract Background The World Health Organization (WHO) considers physical inactivity (PIA) as a critical noncommunicable factor for disease and mortality, affecting more women than men. In 2013, the WHO set a 10% reduction of the PIA prevalence, with the goal to be reached by 2025. Changes in the 2013–2017 period of physical inactivity prevalence in the 28 European Union (EU) countries were evaluated to track the progress in achieving WHO 2025 target. Methods In 2013 and 2017 EU Special Eurobarometers, the physical activity levels reported by the International Physical Activity Questionnaire of 53,607 adults were analyzed. Data were considered as a whole sample and country-by-country. A χ2 test was used to analyze the physical inactivity prevalence (%) between countries, analyzing women and men together and separately. Additionally, PIA prevalence was analyzed between years (2013–2017) for the overall EU sample and within-country using a Z-Score for two population proportions. Results The PIA prevalence increased between 2013 and 2017 for the overall EU sample (p <  0.001), and for women (p = 0.04) and men (p < 0.001) separately. Data showed a higher PIA prevalence in women versus men during both years (p <  0.001). When separately considering changes in PIA by gender, only Belgium’s women and Luxembourg’s men showed a reduction in PIA prevalence. Increases in PIA prevalence over time were observed in women from Austria, Croatia, Germany, Lithuania, Malta, Portugal, Romania, and Slovakia and in men from Bulgaria, Croatia, Czechia, Germany, Italy, Lithuania, Portugal, Romania, Slovakia, and Spain. Conclusions PIA prevalence showed an overall increase across the EU and for both women and men between 2013 and 2017, with higher rates of PIA reported for women versus men during both years. PIA prevalence was reduced in only Belgium’s women and Luxembourg’s men. Our data indicate a limited gender-sensible approach while tacking PIA prevalence with no progress reaching global voluntary reductions of PIA for 2025.

scholarly journals Assessment of Sedentary Behavior With the International Physical Activity Questionnaire

2008 ◽  
Vol 5 (s1) ◽  
pp. S30-S44 ◽  
Author(s):  
Dori E. Rosenberg ◽  
Fiona C. Bull ◽  
Alison L. Marshall ◽  
James F. Sallis ◽  
Adrian E. Bauman
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Population Surveillance ◽  
Sitting Time ◽  
Time Activity ◽  
Physical Activity Questionnaire ◽  
The Relationship ◽  
Activity Questionnaire

Purpose:This study explored definitions of sedentary behavior and examined the relationship between sitting time and physical inactivity using the sitting items from the International Physical Activity Questionnaire (IPAQ).Methods:Participants (N = 289, 44.6% male, mean age = 35.93) from 3 countries completed self-administered long- and short-IPAQ sitting items. Participants wore accelero-meters; were classified as inactive (no leisure-time activity), insufficiently active, or meeting recommendations; and were classified into tertiles of sitting behavior.Results:Reliability of sitting time was acceptable for men and women. Correlations between total sitting and accelerometer counts/min <100 were significant for both long (r = .33) and short (r = .34) forms. There was no agreement between tertiles of sitting and the inactivity category (kappa = .02, P = .68).Conclusion:Sedentary behavior should be explicitly measured in population surveillance and research instead of being defined by lack of physical activity.

Associations of Type, Organization, and Number of Recreational Activities With Total Activity

2007 ◽  
Vol 4 (4) ◽  
pp. 470-481
Author(s):  
Heather R. Bowles ◽  
Dafna Merom ◽  
Tien Chey ◽  
Ben J. Smith ◽  
Adrian Bauman
Keyword(s):  
Physical Activity ◽  
International Physical Activity Questionnaire ◽  
Total Activity ◽  
Population Based ◽  
Recreational Activity ◽  
Activity Type ◽  
Active Lifestyle ◽  
Physical Activity Questionnaire ◽  
Recreational Activities ◽  
Activity Questionnaire

Background:The aim of this study was to examine the associations between characteristics of recreational activity and total physical activity (PA).Methods:Recreational activity type and number were assessed for 3,385 adult respondents to the population-based Exercise Recreation and Sport Survey and categorized as “no recreational activity,” “walking only,” “sport only,” or “combined walking and sport.” Total PA was assessed by the International Physical Activity Questionnaire and categorized as “low,” “moderate,” or “high.”Results:Odds of high total PA were 1.7 times greater among walking-only participants, 2.9 times greater among sport-only participants, and 3.3 times greater among participants in combined walking and sport compared to no recreational activity participants. Greater number of recreational activities related to increased odds of high total PA. Similar associations were observed between recreational activity and moderate total PA.Conclusion:Participants in more than one type of recreational activity were less likely to have a low-active lifestyle.

Ten-Year Trends in Total Physical Activity Practice in Brazilian Adults: 2002-2012

2014 ◽  
Vol 11 (8) ◽  
pp. 1525-1530 ◽  
Author(s):  
Pedro C. Hallal ◽  
Kelly Cordeira ◽  
Alan G. Knuth ◽  
Grégore Iven Mielke ◽  
Cesar G. Victora
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Population Based ◽  
Short Version ◽  
Middle Income ◽  
Middle Income Countries ◽  
Trend Data ◽  
Activity Trends ◽  
Activity Questionnaire

Background:One-third of adults worldwide are physically inactive causing over 5.3 million deaths annually. Despite a growing focus on physical activity and health, population-based data on physical activity trends in low- and middle-income countries are still limited. To help fill the gap, this study provides trend data over a 10-year period in Pelotas, a southern Brazilian city.Methods:The short version of the International Physical Activity Questionnaire was used to assess the prevalence of physical inactivity in 2002 (n = 3119), 2007 (n = 2969), and 2012 (n = 2868). Levels of inactivity and trends were assessed according to sex, age, schooling, and socioeconomic position (SEP).Results:The prevalence of physical inactivity rose from 41.1% (95% CI: 37.4–44.9) in 2002 and 52.0% (95% CI: 49.1–53.8) in 2007 to 54.4% (95% CI: 51.8–56.9) in 2012 (P < .001). Physical inactivity significantly increased in all subgroups except in the highest SEP and 70+ year age subgroups.Conclusions:After a sharp increase in the prevalence of physical inactivity from 2002–2007, levels plateaued from 2007–2012. However, it is important to stress that current levels are still unacceptably high, and that efforts must be intensified to reverse the trend.

scholarly journals Changes in total physical activity, leisure and commuting in the largest city in Latin America, 2003-2015

2021 ◽  
Vol 24 ◽  
Author(s):  
Tatiane Kosimenko Ferrari Figueiredo ◽  
Ricardo Goes de Aguiar ◽  
Alex Antonio Florindo ◽  
Maria Cecília Goi Porto Alves ◽  
Marilisa Berti de Azevedo Barros ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Sao Paulo ◽  
Total Physical Activity ◽  
Female Adolescents ◽  
São Paulo ◽  
The City ◽  
Activity Questionnaire ◽  
Total Item

ABSTRACT: Objective: To analyze the prevalence of physical inactivity and the average time of practice of total physical activity and by domains (leisure and commuting), according to gender, age group and schooling, between 2003 and 2015, in residents of the urban area of the city of São Paulo. Methods: Data from Household Health Surveys in the Municipality of São Paulo (2003: n = 2,514; 2015: n = 4,043). The International Physical Activity Questionnaire was used to measure total, leisure, and commuting physical activity. Results were presented in < 10 minute/week periods, physical inactivity and minutes/week, according to evaluation period, sex, age and schooling. Results: Prevalence of < 10 minutes/week periods in 2003 and 2015 were: 22.5 and 28.9% for the total; 56.7 and 58.3% for leisure; and 35.2 and 39.9% for commuting, with significant change only in the total item, among adolescents (10.3 to 18.8%). For physical inactivity, prevalence rates were: 54.9 and 61.6% (total); 78.2 and 78.9% (leisure); and 72 and 79.9% (commuting), with significant changes only for commuting among adults (67.8 to 77.4%). For the average in minutes per week, in total, there was a significant decrease for female adolescents (138.2 minute/week) and adults with 0–8 (122.6 minutes/week) and 9–11 years (96.7 minutes/week) years of schooling; in commuting, there was a reduction for female adolescents (95 minutes/week); and male adults (95 minutes/week) and female adults (82 minutes/week). Conclusions: There were no reductions in the prevalence of < 10 min/week periods or leisure physical inactivity. Commuting physical inactivity has become even more common.

Abstract P268: Assessing Physical Inactivity Using Accelerometers in Comparison to International Physical Activity Questionnaire

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Rodrigo P Silva ◽  
Rodolfo L Arantes ◽  
Agatha C Matheus ◽  
Alan C Barbosa ◽  
Evandro F Sperandio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cardiovascular Disease ◽  
Family History ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Combined Method ◽  
Physical Activity Questionnaire ◽  
History Of ◽  
Activity Questionnaire ◽  
Physically Inactive

Introduction: Among the instruments to assess the level of physical activity in daily life (LPADL), questionnaires are cost advantageous and accelerometers are more accurate. Recent studies have shown poor agreement between these methods. Hypothesis: We tested the hypothesis that the combination of the questionnaire and the accelerometer is the best strategy to assess the prevalence of physical inactivity in adults. Objective: To evaluate and compare the prevalence of physical inactivity in adults, identified by the International Physical Activity Questionnaire (IPAQ), by triaxial accelerometry and by the combination of both. Methods: Two hundred and fifty-one participants older than 18 years were enrolled. After obtaining clinical, demographic and anthropometric data, participants underwent the following assessments: spirometry, cardiopulmonary exercise testing, body composition (bioimpedance), isokinetic muscle function, balance (force platform), and six-minute walk test. Participants who obtained the total score < 600 MET-min/wk were considered physically inactive using IPAQ. Those that performed < 150 min/wk of moderate to vigorous physical activity were considered physically inactive in the accelerometer-based method. In the combined method we considered physically inactive those who presented the IPAQ and/or the accelerometer-based criteria. Additionally, for participants who reported practicing aquatic, martial arts or cycling, only the IPAQ total score was considered. We compared the prevalence of physical inactivity and agreement between the methods. Three multivariate logistic regression models for each one of the methods were developed and predictors were mutualy compared. Results: The prevalence of physical inactivity was significantly different between the methods (IPAQ = 10%; accelerometry = 20%, and combined method = 25%). The agreement between IPAQ and accelerometry was poor (kappa = 0.152, p = 0.01). The main predictors using the IPAQ were age, fat mass, family history of cardiovascular disease, dyslipidemia, and obesity. The determinants using accelerometry were age, sex, lean body mass (LBM), family history of cardiovascular disease and smoking. The combined method selected age, sex, LBM, family history of cardiovascular disease, dyslipidemia, obesity, smoking, peak V’O2 and balance. With the exception of dyslipidemia and family history of cardiovascular disease, the combined method showed better odds ratio values. Conclusion: The combination of the IPAQ and accelerometry to determine physical inactivity was more valid when compared to the aforementioned instruments separately. The prevalence of physical inactivity and its predictors were more consistent in the combined approach in the present study. Our results suggest that the most popular methods for assessing LPADL in epidemiological studies are complementary.

scholarly journals Health-enhancing physical activity among Saudi adults using the International Physical Activity Questionnaire (IPAQ)

2007 ◽  
Vol 10 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Hazzaa M Al-Hazzaa
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Moderate Intensity ◽  
Physically Active ◽  
Physical Activity Questionnaire ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Health Enhancing Physical Activity ◽  
Activity Questionnaire

AbstractObjectivesTo describe the physical activity profile of Saudi adults living in Riyadh, using the International Physical Activity Questionnaire (IPAQ) short-version telephone format.MethodsPhysical activity was assessed using the official Arabic short form of IPAQ, intended for use in telephone interview. The instrument asks for times spent in walking, moderate- and vigorous-intensity physical activity of at least 10 min duration. The sample consisted of 1616 Saudis, between 15 and 78 years of age, living in Riyadh. Participants were drawn from a list of names in the telephone book using a simple random method. Telephone interviews were administered during the spring of 2003 by trained male interviewers.ResultsThe final sample size was 1064 Saudi males and females (response rate of 66%), with males comprising about 66% of the respondents. Over 43% of Saudis did not participate in any type of moderate-intensity physical activity lasting for at least 10 min. More than 72% of the sample did not engage in any type of vigorous-intensity physical activity lasting for at least 10 min. The proportion of Saudis who walked for 150 min or more per week was 33.3%. Females were engaged more in moderate physical activity than males, whereas males participated more in vigorous activity compared with females. Activity levels did not show significant relationships with education level or job hours per week. Based on the three activity categories established by IPAQ, 40.6% of Saudis were inactive, 34.3% were minimally active and 25.1% were physically active. Physical inactivity increased with advancing age.ConclusionThe data suggest that the prevalence of physical inactivity among Saudis adults is relatively high. Efforts are needed to encourage Saudis to be more physically active, with the goal of increasing the proportion of Saudis engaging in health-enhancing physical activity.

scholarly journals Use of combined method, accelerometer and international physical activity questionnaire, to determinate occurence of physical inactivity in adults

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
Rodrigo Pereira da Silva ◽  
Evandro Forneas Sperandio ◽  
Agatha Caveda Matheus ◽  
Vinicius Tonon Lauria ◽  
Flavio Rossi de Almeida ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Combined Method ◽  
Physical Activity Questionnaire ◽  
Activity Questionnaire

scholarly journals SLC16A1 SNPs and leisure-time physical activity in young Brazilian adults

2020 ◽  
Author(s):  
Fernando Pires Hartwig ◽  
Rafaela Martins ◽  
Bernardo Lessa Horta ◽  
Airton Rombaldi ◽  
Ulf Ekelund ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Birth Cohort ◽  
Physical Inactivity ◽  
Leisure Time ◽  
International Physical Activity Questionnaire ◽  
Leisure Time Physical Activity ◽  
Genetic Determinants ◽  
Effective Interventions ◽  
Activity Questionnaire

Abstract Background: Physical inactivity is a pandemic risk factor for non-communicable diseases. Investigating its determinants is critical to inform effective interventions. However, little is known about genetic determinants of physical activity. Methods: Adults from 1982 Pelotas Birth Cohort were investigated. Five SLC16A1 SNPs were assessed for association with physical activity measured by the International Physical Activity Questionnaire. Results: At a mean age of 22.8 years, rs1049434-AT and TT genotypes (compared to AA) were associated with 4.9 (95% CI: -32.8; 41.5) and 20.6 (-29.1; 69.4) more minutes per week of self-reported leisure-time physical activity in males, respectively. rs3849174-AT and TT males reported 7.9 (95% CI: -43.1; 27.3) and 41.6 (95% CI: -111.5; 28.2) less minutes per week compared to AA, respectively. At a mean age of 30.2 years, the results for the rs1049434 in males were very similar. Effect estimates of 22.6 (95% CI: 53.8; 8.6) and 28.7 (95% CI: -90.8; 33.4) less minutes were observed for rs3849174-TG and GG males, respectively. Results were inconsistent for the rs17493313 SNP and for females. Conclusion: Our results suggest that rs1049434 and rs3849174 SNPs may be genetic determinants of physical activity. However, our findings need replication in larger samples with more precise measures of physical activity.

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