Prevalence of Physical Activity Level in Public Schools, Sao Paulo, Brazil

2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 388-389
Author(s):  
Leonardo J. Silva ◽  
Sandra M. Matsudo ◽  
Timoteo L. Araujo ◽  
Luis C. Oliveira ◽  
Victor K. Matsudo
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Physical Activity Level ◽  
Sao Paulo ◽  
Activity Level ◽  
São Paulo

scholarly journals Factors Associated with Reduction in Physical Activity during the COVID-19 Pandemic in São Paulo, Brazil: An Internet-Based Survey Conducted in June 2020

2021 ◽  
Vol 18 (21) ◽  
pp. 11397
Author(s):  
Gabriela Togni ◽  
Paulo José Puccinelli ◽  
Taline Costa ◽  
Aldo Seffrin ◽  
Claudio Andre Barbosa de Lira ◽  
...  
Keyword(s):  
Physical Activity ◽  
Minimum Wage ◽  
Physical Activity Level ◽  
Family Income ◽  
Sao Paulo ◽  
Activity Level ◽  
Activity Levels ◽  
São Paulo ◽  
Factors Associated ◽  
The City

Background: The COVID-19 pandemic negatively affected physical activity levels. This study investigated the factors associated with the change in physical activity level in Brazilians residing in the city of São Paulo. Methods: A self-administered questionnaire, addressing personal data, restriction level, education level, family income, daily working hours, and physical activity level, was answered by 2140 volunteers, of which 1179 were excluded because the answers were either incomplete or the respondents were not from São Paulo. The total number of participants selected was 961 (581 female and 380 male). Results: The physical activity level adopted prior to the pandemic period (p < 0.001) and family income (p = 0.001) correlated significantly with physical activity level reduction during the pandemic. The proportion of people who reduced their physical activity was greater among those who were very active than those who were active (adjusted prevalence ratio [aPR]: 0.65 [confidence interval (CI): 0.52–0.80]) or insufficiently active [aPR: 0.39 (0.18–0.82)]. The proportion of people who reduced their physical activity was greater among those who received a salary less than minimum wage (MW) than those who received a salary between three to six times minimum wage [(aPR: 0.50 (CI 0.35–0.70)] or more than 6 MW [(aPR: 0.56 (CI 0.40–0.79)]. Conclusions: A higher prevalence of Brazilians residing in the city of São Paulo reduced their physical activity who had a vigorous level of physical activity prior to the pandemic and who received less than a MW.

Impact of the Seven Years the Agita São Paulo of Physical Activity Level on Sedentarism of Adults Over 50 years-old

2008 ◽  
Vol 40 (Supplement) ◽  
pp. S487
Author(s):  
Sandra M. Matsudo ◽  
Victor KR Matsudo ◽  
Douglas R. Andrade ◽  
Luis Carlos Oliveira ◽  
Timóteo L. Araújo
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Sao Paulo ◽  
Activity Level ◽  
São Paulo

scholarly journals Physical Activity Level, Anthropometric and Cardiovascular Profile Among Students in Sergipe State Attending Public Schools

2020 ◽  
Author(s):  
Luan Morais Azevêdo ◽  
Lucas Souza Santos ◽  
Emerson Pardono ◽  
Jeeser Alves Almeida ◽  
Aldemir Smith Menezes
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Physical Activity Level ◽  
Activity Level ◽  
Cardiovascular Profile

scholarly journals Prospective association between dietary patterns and BMI Z-score in Brazilian adolescents

2021 ◽  
pp. 1-8
Author(s):  
Adélia CP Arruda Neta ◽  
José Cazuza Farias Junior ◽  
Flávia EL Lima Ferreira ◽  
Dirce M Marchioni
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Longitudinal Study ◽  
Dietary Patterns ◽  
Physical Activity Level ◽  
Dietary Pattern ◽  
Eating Habits ◽  
High Energy ◽  
Activity Level ◽  
High Energy Density

Abstract Objective: To identify dietary patterns and prospectively evaluate their influence on the BMI Z-score of adolescents. Design: A longitudinal study, using data from the Longitudinal Study on Sedentary Behavior, Physical Activity, Eating Habits and Adolescent Health – LONCAAFS. Setting: To obtain data on food consumption, a 24-h recall survey was conducted; a second 24-h recall was applied to 30 % of the sample in all waves. Dietary patterns were identified by exploratory factor analysis using principal components. BMI Z-score was determined according to the recommendation of the WHO, based on the BMI for age and sex. Socio-economic data, sedentary behaviour and physical activity level were obtained. Associations between BMI Z-score and dietary patterns and between BMI Z-score and variables of interest were determined using generalised estimating equations. Participants: Totally, 1431 adolescents were assessed in 2014, 1178 in 2015, 959 in 2016 and 773 in 2017, belonging to the public schools of João Pessoa, Northeast Brazil. Results: Three dietary patterns were identified throughout the study: ‘traditional’, ‘snacks’ and ‘Western’. The ‘Western’ dietary pattern was positively associated with BMI Z-score (β = 0·025; 95 % CI 0·002, 0·048), regardless of sex and physical activity level, prospectively. Conclusion: A dietary pattern composed of foods with high energy density, high fat and sugars, and low fibre influences the BMI Z-score of adolescents over time.

PHYSICAL ACTIVITY LEVEL ACCORDING NUTRITIONAL STATUS AMONG CHILDREN OF PUBLIC SCHOOLS IN BRAZIL

2001 ◽  
Vol 33 (5) ◽  
pp. S232
Author(s):  
M M. BRACCO ◽  
J F. JENOVESI ◽  
C T. CUNHA ◽  
J A.A.C. TADDEI
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Nutritional Status ◽  
Physical Activity Level ◽  
Activity Level

scholarly journals Is the association between unhealthy weight and academic performance influenced by children’s physical activity level?

2015 ◽  
Vol 20 (3) ◽  
pp. 252
Author(s):  
Carla Santana ◽  
Liane Azevedo ◽  
Lisianny Ferreira ◽  
Pedro Neves ◽  
Edna Prado ◽  
...  
Keyword(s):  
Physical Activity ◽  
Elementary School ◽  
Academic Performance ◽  
Public Schools ◽  
Physical Activity Level ◽  
Normal Weight ◽  
Activity Level ◽  
Font Size ◽  
School Students ◽  
Unhealthy Weight

<p class="MsoNormal" style="margin-bottom: .0001pt; line-height: 200%; mso-layout-grid-align: none; text-autospace: none;"><span style="font-size: 12.0pt; line-height: 200%; font-family: ";Times New Roman";,serif; mso-ansi-language: EN-US;" lang="EN-US">The purpose of this study was to verify the association between unhealthy weight and academic performance and the influence of physical activity level (PAL) in elementary school children. This study was conducted with 450 elementary school students (50% girls) enrolled in 1<sup>st</sup> to 4<sup>th</sup> grades. PAL was assessed by self-reported questionnaire of typical physical activity and daily food intake (DAFA). </span><span style="font-size: 12.0pt; mso-bidi-font-size: 11.0pt; line-height: 200%; font-family: ";Times New Roman";,serif; mso-fareast-font-family: ";Arial Unicode MS";; mso-hansi-font-family: ";Arial Unicode MS";; mso-bidi-font-family: ";Times New Roman";; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US;" lang="EN-US">Academic achievement (Portuguese and Mathematics) was </span><span style="font-size: 12.0pt; line-height: 200%; font-family: ";Times New Roman";,serif; mso-ansi-language: EN-US;" lang="EN-US">estimated based on the academic performance system of public schools from Recife/Brazil. Binary logistic regression was used to verify the association between unhealthy weight (underweight and overweight) and normal weight with academic performance. The results showed that 26.6% of the students presented overweight, 11.1% presented underweight, 49.1% and 50.9% were classified as high and low PAL, respectively. In addition, 56.9% had sufficient academic performance in Portuguese and 51.1% had sufficient academic performance in Mathematics. Students with overweight presented higher <em>odds</em> for insufficient  performance in Portuguese when compared to normal weight counterparts, even when adjusted for reported PAL, gender and age (OR = 1.69; 95%CI: 1.08-2.64). The results corroborate with evidences that unhealthy weight is associated with poor academic performance in children.</span><span style="font-size: 12.0pt; line-height: 200%; font-family: ";Times New Roman";,serif; mso-fareast-font-family: Calibri; mso-ansi-language: EN-US;" lang="EN-US"></span></p>

Self-Referent Thoughts in Exercise: The Self-Perception in Exercise Questionnaire

1997 ◽  
Vol 13 (3) ◽  
pp. 195-205 ◽  
Author(s):  
Marit Sorensen
Keyword(s):  
Physical Activity ◽  
Pilot Study ◽  
Physical Activity Level ◽  
Convergent Validity ◽  
English Language ◽  
Lifestyle Changes ◽  
Activity Level ◽  
Language Version ◽  
Social Comfort ◽  
And Gender

Adherence to lifestyle changes - beginning to exercise, for example - is assumed to be mediated by self-referent thoughts. This paper describes a pilot study and three studies conducted to develop and validate a questionnaire for adults to determine their self-perceptions related to health-oriented exercise. The pilot study identified items pertinent to the domains considered important in this context, and began the process of selecting items. Study 2 examined the factor structure, reduced the number of items, determined the internal consistency of the factors, and explored the discriminative validity of the questionnaire as to physical activity level and gender. Four factors with a total of 24 items were accepted, measuring mastery of exercise, body perception, social comfort/discomfort in the exercise setting, and perception of fitness. All subscales had acceptable internal consistencies. Preliminary validity was demonstrated by confirming hypothesized differences in scores as to gender, age, and physical activity level. The third study examined and demonstrated convergent validity with similar existing subscales. The fourth study examined an English-language version of the questionnaire, confirming the existence of the factors and providing preliminary psychometric evidence of the viability of the questionnaire.

Meta-Analysis of Physical Activity Level (PAL) Data for U.S. Youth1

2005 ◽  
Vol 2 (3-4) ◽  
pp. 297-319
Author(s):  
Thomas McCurdy ◽  
Jianping Xue
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Meta Analysis ◽  
Activity Level
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