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.

scholarly journals Concordance between Stages of Behavior Change Questionnaire and IPAQ

2013 ◽  
Vol 19 (4) ◽  
pp. 776-782
Author(s):  
Priscila Missaki Nakamura ◽  
Camila Bosquiero Papini ◽  
Inaian Pignatti Teixeira ◽  
Emerson Sebastião ◽  
Sebastião Gobbi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Leisure Time ◽  
International Physical Activity Questionnaire ◽  
Leisure Time Physical Activity ◽  
Maintenance Stage ◽  
Preparation Stage ◽  
Good Concordance ◽  
Middle Aged Adults ◽  
Activity Questionnaire

A low rate of physical activity (PA) participation is observed worldwide. The identification of feasible and reliable instruments able to accurately measuring PA and help in the development of interventions to promote PA are necessary. This study aimed to analyze the concordance between the Stages of Behavior Change Questionnaire (SBCQ) and the International Physical Activity Questionnaire (IPAQ long-version) in assessing adult leisure-time physical activity (LTPA). A total of 1.588 adults completed the IPAQ to assess LTPA and the participants who performed more than 10 min/week were classified in active individuals. Using the SBCQ, active individuals were those classified in the action or maintenance stage and inactive individuals were those classified in the precontemplation, contemplation or preparation stage. The concordance between SBCQ and IPAQ was found to be 0.80. Separated by gender, it was observed a concordance between the two instruments of 0.82 for women, and 0.77 for men. Regarding age group, it was found to be 0.81 for young and middle-aged adults, and 0.77 for older people. The SBCQ presented a very good concordance with IPAQ to assess LTPA.

scholarly journals Prática de atividade física no lazer e fatores associados em frequentadores de academias ao ar Livre

2017 ◽  
Vol 19 (2) ◽  
pp. 185 ◽  
Author(s):  
Marcelo Cozzensa da Silva ◽  
Alice Meyer Iepsen ◽  
Eduardo Lucia Caputo ◽  
Patrícia Becker Engers ◽  
Carla Francieli Spohr ◽  
...  
Keyword(s):  
Physical Activity ◽  
Skin Color ◽  
Associated Factors ◽  
Leisure Time ◽  
International Physical Activity Questionnaire ◽  
Health Perception ◽  
Physical Education Teacher ◽  
White Skin ◽  
Leisure Physical Activity ◽  
Activity Questionnaire

DOI: http://dx.doi.org/10.5007/1980-0037.2017v19n2p185 Fitness zones (FZ) are a great alternative to physical activity practice. The aim of this study was verify physical activity practice and associated factors among FZ users of Pelotas. Participants answered a questionnaire containing demographic, socioeconomic, behavioral, health and on the use of FZs. A long version of the International Physical Activity Questionnaire was used to determine the level of physical activity and those who reported at least 150 minutes / week of PA in the leisure time were considered sufficiently active. The study included 323 subjects (65.3% women), mean age 52.5 years, 83.6% white skin color and 61.9% married. Almost half of respondents were overweight (48.0%), 45.8% had high blood pressure, 10.5% had diabetes and 64.4% used medications. About 77.7% of respondents were classified as sufficiently active. Health perception was associated to leisure physical activity, and the better the health perception, the higher the prevalence of sufficient physical activity. Collective programs with participation of Physical Education teacher can contribute to interaction of practitione with the use of fitness zones and increase the level of physical activity of individuals.

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.

Validation of the Minnesota Leisure Time Physical Activity Questionnaire in Spanish Women

2000 ◽  
Vol 32 (8) ◽  
pp. 1431-1437 ◽  
Author(s):  
ROBERTO ELOSUA ◽  
MONTSERRAT GARCIA ◽  
AMPARO AGUILAR ◽  
LUIS MOLINA ◽  
MAR??A-ISABEL COVAS ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Physical Activity Questionnaire ◽  
Spanish Women ◽  
Activity Questionnaire

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.

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.

scholarly journals A population-based survey on physical inactivity and leisure time physical activity among adults in Chiang Mai, Thailand, 2014

2017 ◽  
Vol 75 (1) ◽  
Author(s):  
Sanhapan Thanamee ◽  
Kanokporn Pinyopornpanish ◽  
Apichai Wattanapisit ◽  
Suparerk Suerungruang ◽  
Kanittha Thaikla ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Chiang Mai ◽  
Population Based Survey
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