scholarly journals Factors associated with physical inactivity and sedentary behavior among women living in the urban area of Santos City, Brazil

2016 ◽  
Vol 21 (2) ◽  
pp. 162 ◽  
Author(s):  
Angela Trude ◽  
Gabriela Vedovato ◽  
Yeeli Mui ◽  
Maria Oliveira ◽  
Paula Martins

We aimed to assess the association between individual, socioeconomic, and environmental variables and sedentary behavior and physical inactivity (PI) among urban Brazilian women of varying economic status in Santos. Through a cross-sectional design in a home-based study, we interviewed 538 women with children under 10 years. We assessed PI through two different indices: the International Physical Activity Questionnaire (IPAQ) and the physical activity time/week as recommended by the World Health Organization (WHO). Sedentary behavior was assessed by sitting-time (>360min/week). Using adjusted logistic regression, walking and driving remained significantly correlated to IPAQ’s score (OR 0.24 95% CI 0.11; 0.50; OR 1.87 95% IC 1.25; 2.81) and to WHO’s guideline (OR 0.20 95% CI 0.08; 0.48; OR 1.77 95% CI 1.16; 2.70). Sedentary behavior was associated with having housekeeper in the household (OR 2.14 95% IC 1.31; 3.50) and perceiving as a barrier for physical activity not having money (OR 0.29 95% CI 0.12; 0.65). Physical inactivity and sedentary behavior were associated with individual, psychosocial and environmental perceptions factors among women with children. Therefore, environmental and policy interventions with multilevel approach may be considered in urban areas to promote health and to prevent obesity among maternal-infant group.

2021 ◽  
Vol 18 (S1) ◽  
pp. S74-S83
Author(s):  
Emily N. Ussery ◽  
Geoffrey P. Whitfield ◽  
Janet E. Fulton ◽  
Deborah A. Galuska ◽  
Charles E. Matthews ◽  
...  

Background: High levels of sedentary behavior and physical inactivity increase the risk of premature mortality and several chronic diseases. Monitoring national trends and correlates of sedentary behavior and physical inactivity can help identify patterns of risk in the population over time. Methods: The authors used self-reported data from the National Health and Nutrition Examination Surveys (2007/2008–2017/2018) to estimate trends in US adults’ mean daily sitting time, overall, and stratified by levels of leisure-time and multidomain physical activity, and in the joint prevalence of high sitting time (>8 h/d) and physical inactivity. Trends were tested using orthogonal polynomial contrasts. Results: Overall, mean daily sitting time increased by 19 minutes from 2007/2008 (332 min/d) to 2017/2018 (351 min/d) (Plinear < .05; Pquadratic < .05). The highest point estimate occurred in 2013/2014 (426 min/d), with a decreasing trend observed after this point (Plinear < .05). Similar trends were observed across physical activity levels and domains, with one exception: an overall linear increase was not observed among sufficiently active adults. The mean daily sitting time was lowest among highly active adults compared with less active adults when using the multidomain physical activity measure. Conclusions: Sitting time among adults increased over the study period but decreased in recent years.


2018 ◽  
Vol 15 (5) ◽  
pp. 331-337
Author(s):  
Rafaela Costa Martins ◽  
Luiza Isnardi Cardoso Ricardo ◽  
Gerfeson Mendonça ◽  
Daiana Lopes de Rosa ◽  
Letícia Lemos Ayres da Gama Bastos ◽  
...  

Objective: To evaluate trends in physical activity and sedentary behavior simultaneity among Brazilian students from 2009 to 2015 and its association with independent variables. Methods: This study presents a panel of 3 cross-sectional studies carried out in 2009, 2012, and 2015 (Pesquisa Nacional de Saúde do Escolar—PeNSE). The population was comprised of ninth-grade public and private schools students from Brazilian capitals. Physical activity and sedentary behavior variables were combined to create the outcome of simultaneity of these risk factors. Results: A large proportion of students were simultaneously inactive and sedentary in the 3 surveys. However, it was possible to observe a downward trend (2009: 56.4%; 95% confidence interval, 55.7–57.1; 2012: 53.7%; 95% confidence interval, 53.0–54.4; 2015: 51.9%; 95% confidence interval, 51.2–52.7). In 2015, estimates of physical inactivity and sedentary behavior simultaneity were greater than 48% for 20 out of 27 of the Brazilian states. Significant declining trends were observed among mideast residents, females, nonwhite, and those attending private schools. Only around 5%–7% of the adolescents were both active and nonsedentary in the 3 surveys. Conclusion: Despite of a slight decreasing trend in the proportion of Brazilian students simultaneously inactive and sedentary throughout the period, the prevalence remained elevated across the surveys.


2019 ◽  
Vol 7 ◽  
pp. 205031211982708 ◽  
Author(s):  
Francisco José Gondim Pitanga ◽  
Sheila Maria Alvim Matos ◽  
Maria da Conceição C. Almeida ◽  
Ana Luísa Patrão ◽  
Maria del Carmen Bisi Molina ◽  
...  

Objectives: To assess associations, both individually and in combination, between leisure-time physical activity and sedentary behavior, and cardiometabolic health. Methods: This cross-sectional study included 13,931 civil servants participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Leisure-time physical activity was analyzed using the leisure-time domain of the long-form International Physical Activity Questionnaire, while questions related to cumulative sitting time and leisure-based screen time on a weekday and on one day on the weekend were used to establish sedentary behavior. Data analysis was performed using multivariate logistic regression. Results: Following adjustment for confounding variables, high levels of leisure-time physical activity and low levels of sedentary behavior were both associated with favorable cardiometabolic health markers in both genders. When these two factors were analyzed in conjunction, taking the combination of low levels of leisure-time physical activity and high levels of sedentary behavior as the reference, the inverse associations with cardiometabolic variables became even more significant. Conclusion: High levels of leisure-time physical activity and low levels of sedentary behavior were both inversely associated with the cardiometabolic variables analyzed; however, the two variables when evaluated in conjunction appear to produce more consistent associations, particularly when sedentary behavior is evaluated according to leisure-based screen time.


2018 ◽  
Vol 26 (4) ◽  
pp. 608-613 ◽  
Author(s):  
Alex S. Ribeiro ◽  
Luiz C. Pereira ◽  
Danilo R.P. Silva ◽  
Leandro dos Santos ◽  
Brad J. Schoenfeld ◽  
...  

The purpose of the study was to clarify the independent association between sedentary behavior and physical activity with multiple chronic diseases and medicine intake in older individuals. Sedentary behavior and physical activity were measured by questionnaires. Diseases and medication use were self-reported. Poisson’s regression was adopted for main analysis, through crude and adjusted prevalence ratio and confidence interval of 95%. For men, sedentary time >4 hr/day presented a 76% higher prevalence of ≥2 chronic diseases, while physical inactivity increases the likelihood of using ≥2 medicines in 95%. For women, sedentary behavior >4 hr/day presented an 82% and 43% greater prevalence for ≥2 chronic diseases and the intake of ≥2 medicines, respectively. Sedentary behavior represents an independent associated factor of multiple chronic diseases in older men and women. In addition, inactivity for men and sedentarism for women are associated with the amount of medicine intake.


2008 ◽  
Vol 5 (s1) ◽  
pp. S30-S44 ◽  
Author(s):  
Dori E. Rosenberg ◽  
Fiona C. Bull ◽  
Alison L. Marshall ◽  
James F. Sallis ◽  
Adrian E. Bauman

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.


2010 ◽  
Vol 14 (2) ◽  
pp. 246-254 ◽  
Author(s):  
Katrien De Cocker ◽  
Charlene Ottevaere ◽  
Michael Sjöström ◽  
Luis A Moreno ◽  
Julia Wärnberg ◽  
...  

AbstractObjectiveTo describe self-reported physical activity (PA) patterns in the various domains (school, home, transport, leisure time) and intensity categories (walking, moderate PA, vigorous PA) in European adolescents. Furthermore, self-reported PA patterns were evaluated in relation to gender, age category, weight status category and socio-economic status (SES).DesignCross-sectional study.SettingTen European cities.SubjectsIn total, 3051 adolescents (47·6 % boys, mean age 14·8 (sd1·2) years) completed an adolescent-adapted version of the validated International Physical Activity Questionnaire.ResultsThe total sample reported most PA during leisure time (485 min/week) and least PA at home (140 min/week). Boys reported significantly more school-based PA (P< 0·001), leisure-time PA (P= 0·003), vigorous PA (P< 0·001) and total PA (P= 0·002) than girls, while girls reported more home-based PA (P< 0·001) and walking (P= 0·002) than boys. Self-reported PA at school (P< 0·001), moderate PA (P< 0·001), vigorous PA (P< 0·001) and total PA (P< 0·001) were significantly higher in younger age groups than in older groups. Groups based on weight status differed significantly only in leisure-time PA (P= 0·004) and total PA (P= 0·003), while groups based on SES differed in all PA domains and intensities except transport-related PA and total PA.ConclusionsThe total sample of adolescents reported different scores for the different PA domains and intensity categories. Furthermore, patterns were different according the adolescents’ gender, age, weight status and SES.


1989 ◽  
Vol 32 ◽  
Author(s):  
Marcelo Barros Vasconcellos ◽  
◽  
Isabela Matta ◽  
Danilo Dias Santana ◽  
Gloria Valeria da Veija ◽  
...  

The study investigated changes in the prevalence of obesity, sedentary behavior (SB) and physical inactivity (PI) in adolescents. Two cross-sectional studies were analyzed, 2010 and 2017, with probabilistic samples from students (328 and 366, respectively) in 12 municipal schools in Niterói, RJ. Obesity was classified based on body mass index (BMI = weight / height2) Z score values ≥ +2, according to the World Health Organization criteria. The weight classification was made with body mass index (BMI = weight/height2), the SB for those with some screen behavior (television, video game) for ≥ 2 hours/day and IF those who performed <300 min / week moderate to intense physical activity. The comparison between the studies was based on the chi-square test (categorical variables) and Student's t test (continuous variables). The prevalence of obesity increased in boys (6.2% to 15.6% p <0.001) and decreased in girls (8.4% to 6.9% p = 0.035). The frequency of SB decreased from (90.7% to 67.7% p <0.001) in boys and from (90.3 to 52.8% p <0.001) in girls and the PI did not change in boys and increased in girls (84.6% to 89.9% p <0.001). The changes observed were sex-dependent, with boys more vulnerable to increased obesity, girls more PI and both sexes less SB in the investigated period.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Elżbieta Biernat ◽  
Monika Piątkowska

Purpose. The aim of the study was to evaluate general physical activity (PA) level on the basis of leisure time and transportation physical activity (LTPA and TPA), assess the percentage of persons not meeting PA recommendations by the World Health Organisation (WHO), and evaluate the relationship between selected sociodemographic factors and physical inactivity. Methods. The paper is based on data ( n = 7,347 ) retrieved from five large-scale surveys (2014-2018) used to collect information on the PA of Polish society. In order to meet the aim of the paper, we selected a sample of 2,023 Poles aged ≥ 60 years old. In each wave, the Polish long version of the International Physical Activity Questionnaire was used. Mann–Whitney U and Kruskal-Wallis tests were used to investigate the differences between the types and volume of PA and sociodemographic variables. Relationships between physical inactivity and analysed variables were evaluated using log-linear analysis. To capture relationships between physical inactivity and a set of explanatory variables, a predictive model was built. Results. The total average energy expenditure amounted to 1879.5 ± 2352.5 MET-min/week, including LTPA ( 938.5 ± 1491.9 MET-min/week) and TPA ( 944.8 ± 1322.4 MET-min/week). Over the course of the last two years of the study, the average value of MET-min/week increased significantly ( p < 0.05 ); however, prohealth WHO norms are not met by nearly 40% of Poles. Sex determines the volume of LTPA and TPA ( p < 0.05 ) but does not determine the inactivity of seniors. Place of residence and education differentiate participation in LTPA and TPA. The lower the education level and the smaller the place of residence, the greater the inactivity. Conclusions. The target for future interventions should be people aged 60+ living in villages and small towns (especially those with primary education). It is necessary to undertake educational and motivational programmes promoting PA. It is essential to develop detailed recommendations and to create a friendly and supportive environment.


2020 ◽  
Vol 318 (6) ◽  
pp. H1441-H1446 ◽  
Author(s):  
Tiago Peçanha ◽  
Karla Fabiana Goessler ◽  
Hamilton Roschel ◽  
Bruno Gualano

Emerging data indicate a substantial decrease in global physical activity levels during the period of social isolation adopted worldwide to contain the spread of the coronavirus disease 2019 (COVID-19). Confinement-induced decreases in physical activity levels and increases in sedentary behavior may provoke a rapid deterioration of cardiovascular health and premature deaths among populations with increased cardiovascular risk. Even short-term (1–4 wk) inactivity has been linked with detrimental effects in cardiovascular function and structure and increased cardiovascular risk factors. In this unprecedented and critical scenario, home-based physical activity programs arise as a clinically relevant intervention to promote health benefits to cardiac patients. Many studies have demonstrated the feasibility, safety, and efficacy of different models of home-based exercise programs in the primary and secondary prevention of cardiovascular diseases and major cardiovascular events among different populations. This body of knowledge can inform evidence-based policies to be urgently implemented to counteract the impact of increased physical inactivity and sedentary behavior during the COVID-19 outbreak, thereby alleviating the global burden of cardiovascular disease.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Dedele ◽  
A Miskinyte

Abstract Background Physical activity (PA) influences people’s individual health and quality of life and contributes to prevent non-communicable diseases. Research shows that only one third of the EU inhabitants satisfy the World Health Organisation’s recommendations for PA levels. Global decline in PA levels is associated with economic development, an increase in urbanization, communication technologies and the use of passive modes of transport. The aim of the study was to assess the levels of PA depending on socioeconomic factors and health among adults. Methods A cross sectional study of a random sample of Kaunas residents was conducted to investigate the habits of PA. A representative sample of 1111 individuals who completed the questionnaire were included in the study. Validated questionnaires were used to collect data. Multivariate logistic regressions were used to assess the relationship between the levels of PA and socioeconomic factors and health, adjusting for confounders. Results Our findings showed that non-workers were three times (OR 3.16; 95% CI 1.23-8.13) more likely to reach the levels of recommended PA compared to workers. The results revealed that car disposal and the increase in body mass index (BMI) were the two most important factors that reduced odds of reaching recommended levels of PA by 64 % (OR 0.36; 95% CI 0.14-0.93) and 13 % (OR 0.87; 95% CI 0.80-0.96). Conclusions The differences in PA levels by individual socioeconomic factors and health were investigated in this study. The European Commission actively promotes Sustainable Urban Mobility Planning by developing guidelines for the local authorities to promote active mobility and increase PA. Key messages The study highlights the importance of considering different individual characteristics when assessing PA and evaluating related health effects. It is important to improve the accessibility of urban areas and create cleaner and more sustainable transport modes to increase PA.


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