scholarly journals The prevalence of physical inactivity amongst Brazilian university students: its association with sociodemographic variables

2009 ◽  
Vol 11 (5) ◽  
pp. 724-733 ◽  
Author(s):  
Teresa M. Bianchini de Quadros ◽  
Edio L. Petroski ◽  
Diego A. Santos-Silva ◽  
Alex Pinheiro-Gordia
Keyword(s):  
University Students ◽  
Physical Inactivity ◽  
Sociodemographic Variables

scholarly journals Physical Inactivity among University Students

2021 ◽  
Vol 11 (5) ◽  
Author(s):  
Annurizal Anuar ◽  
Nor Zaihan Mat Hasan @ Hussin ◽  
Siti Noorsuriani Maon ◽  
Naffisah Mohd Hassan ◽  
Mohd Zulkifli Abdullah ◽  
...  
Keyword(s):  
University Students ◽  
Physical Inactivity

scholarly journals Cluster analysis of risk factors for chronic non-communicable diseases in elderly Brazilians: population-based cross-sectional studies in a rural town

2021 ◽  
Vol 10 (17) ◽  
pp. e18101724202
Author(s):  
Saulo Vasconcelos Rocha ◽  
Sabrina Correia de Oliveira ◽  
Hector Luiz Rodrigues Munaro ◽  
Camila Fabiana Rossi Squarcini ◽  
Bruna Maria Palotino Ferreira ◽  
...  
Keyword(s):  
Risk Factors ◽  
Physical Inactivity ◽  
Economic Status ◽  
The Elderly ◽  
Tobacco Consumption ◽  
Population Based ◽  
Communicable Diseases ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Sociodemographic Variables

Negative health behaviors incorporated into lifestyle are considered the main risk factors for chronic non-communicable diseases (NCDs) in adults and the elderly. However, the relationship between the aggregation of these factors and the sociodemographic conditions of the elderly needs to be better elucidated. The aim of this study was to analyze the simultaneity of the five risk factors for NCDs in the elderly with low economic status living in a rural city in Brazil, and their association with sociodemographic variables. Cross-sectional study was conducted with elderly people from Family Health Units of the city of Ibicui-Bahia, Brazil, where 310 elderly were enrolled. Rates of physical inactivity in leisure (PIL), alcohol consumption, sedentary behavior, overweight/obesity and tobacco consumption were collected through a questionnaire in an individual interview. The average age among participants was 71.62 (± 8.16) years. The group presenting the five behaviors had high scores in both sexes (men O/E = 242.5; women O/E = 161.7). Among men and women, the highest scores found through clustering of simultaneous NCD risk factors were for the consumption of alcohol with smoking, and physical inactivity with smoking. When analyzing the association between groups and sociodemographic characteristics, men were more physically inactive than women (OR = 0.96, CI = 0.92-0.98) and concomitantly had unhealthy habits (smoking). In conclusion, the elderly are exposed to health risk factors for concurrent CNCDs and the accumulation of these risk factors was not associated with sociodemographic variables, it is suggested that further studies be carried out with the prevalent variables as well as to analyze why the elderly population presents these levels.

scholarly journals Level of physical activity and related factors in university health areas: a longitudinal study

1989 ◽  
Author(s):  
Elaynne Silva Oliveira ◽  
◽  
Camilla Silva Rodrigues ◽  
Alair Reis Araújo ◽  
Zilane Veloso de Barros Viegas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Longitudinal Study ◽  
University Students ◽  
Physical Inactivity ◽  
Descriptive Statistics ◽  
Northeastern Brazil ◽  
Related Factors ◽  
Health Area ◽  
The University ◽  
Health Field

Physical inactivity ranks fourth among the main risk factors for mortality worldwide. Aim to relate a change or increase in the level of physical activity with socioeconomic variables and lifestyle over a six-month period in university students in the health field. This is a longitudinal study, consisting of 167 university students in the health area in northeastern Brazil. Use the "Map of Physical Activity and Health-MAFIS" as an instrument or questionnaire. The data were analyzed using descriptive statistics in the form of frequency and percentage, square test, posterior assembly of the logistic regression model. The results show that the university students who responded are “barely able” to wake up an hour earlier to perform protected physical activities by 78% (OR: 0.217; CI: 0.056-0.83) against the practice of AFLAZ compared to those who consider " quite capable ". It was concluded that the willingness to wake up 1 hour earlier is related to doing physical activity over a period of six months in health students.

scholarly journals Variability in physical inactivity responses of university students during COVID-19 pandemic: A monitoring of daily step counts using a smartphone application

2021 ◽  
Author(s):  
Shoji Konda ◽  
Issei Ogasawara ◽  
Kazuki Fujita ◽  
Chisa Aoyama ◽  
Teruki Yokoyama ◽  
...  
Keyword(s):  
University Students ◽  
Clustering Analysis ◽  
Physical Inactivity ◽  
Moving Average ◽  
Smartphone Application ◽  
Daily Step ◽  
First Semester ◽  
Summer Vacation ◽  
Step Counts ◽  
Academic Calendar

This study investigated the changes in physical inactivity of college students during the COVID-19 pandemic, with reference to their academic calendar. We used the daily step counts recorded by a smartphone application (iPhone Health App) from April 2020 to January 2021 (287 days) for 603 students. The data for 287 days were divided into five periods based on their academic calendar. The median value of daily step counts across each period was calculated. A k-means clustering analysis was performed to classify the 603 participants into subgroups to demonstrate the variability in the physical inactivity responses. The median daily step counts, with a 7-day moving average, dramatically decreased from 5,000 to 2,000 steps/day in early April. It remained at a lower level (less than 2,000 steps/day) during the first semester, then increased to more than 5,000 steps/day at the start of summer vacation. The clustering analysis demonstrated the variability in physical inactivity responses. Independent of the academic calendar, many inactive students did not recover their original daily step counts after its dramatic decrement. Consequently, promoting physical activity is recommended for inactive university students over the course of the whole semester.

scholarly journals Avaliação dos Níveis de Atividade Física em Estudantes Universitários do Ensino a Distância

2017 ◽  
Vol 19 (3) ◽  
pp. 143
Author(s):  
Stefany Hulda Primo ◽  
Mario Molari ◽  
Amanda Alcântara Luna ◽  
Nuno de Noronha Da Costa Bispo ◽  
Vinicius Aparecido Yoshio Ossada ◽  
...  
Keyword(s):  
Physical Activity ◽  
Morbid Obesity ◽  
Health Promotion ◽  
University Students ◽  
Physical Inactivity ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
The Body ◽  
Cross Sectional ◽  
The Mean

Atualmente tem se observado que as incidências de mortes são ocasionadas por fatores relacionados ao comportamento humano, como no caso da inatividade física. Esta pesquisa se objetivou em avaliar o nível de atividade física habitual - AF em relação ao índice de massa corpórea - IMC em universitários do Ensino a distância - EaD, por meio do Questionário Internacional de Atividade Física - IPAQ. É um estudo do tipo transversal com o total de 107 universitários do EaD. Para as coletas de dados foi utilizado o questionário geral e o questionário IPAQ. O IMC foi calculado pela equação IMC= peso corporal (Kg)/ altura (m)2, considerando os valores <18,5 kg abaixo do peso; e entre 18,5-24,9 kg peso normal; 25-29,9 kg sobrepeso; 30-34,9 kg obesidade leve; 35-39,9 kg obesidade moderada e obesidade mórbida >40 kg (CUNHA, 2009). A média de idade foi de 30,1±9,7 anos, prevalecendo o sexo feminino com 61,6%. Dos 107 entrevistados, 64,4% são praticantes de AF. Quanto ao IMC, 6,5% estão abaixo do peso; 46% estão no peso normal; 33% estão com sobrepeso; 9,3% estão com obesidade leve; 2% com obesidade moderada; 3,8% com obesidade mórbida, sendo 1,8%. Através dos dados analisados por meio do questionário GERAL, IPAQ e pelo programa de análise estatística SPSS se verificou que quanto maior o IMC, pior é a classificação quanto ao nível de atividade física. Sendo assim, nota-se a importância de ações voltadas para os universitários praticarem atividade física, além de estratégicas voltadas para a promoção da saúde e prevenção de doenças provenientes do sedentarismo.Palavras-chave: Exercício. Obesidade. Promoção da Saúde.AbstractIt has now been observed that the incidence of deaths is caused by factors related to human behavior, as in the case of physical inactivity. This study aimed to evaluate the level of habitual physical activity (FA) in relation to the body mass index (BMI) in distance learning university students (EAD), through the International Questionnaire of Physical Activity (IPAQ). It is a cross-sectional study with a total of 107 university students. For data collection, the general questionnaire and the IPAQ questionnaire were used. The BMI was calculated by the equation BMI = body weight (kg) / height (m) 2, considering values <18.5 kg below weight; And between 18.5-24.9 kg normal weight; 25-29.9 kg overweight; 30-34.9 kg light obesity; 35-39.9 kg moderate obesity and morbid obesity> 40 kg (CUNHA, 2009). The mean age was 30.1 ± 9.7 years, prevailing the female sex with 61.6%. Of the 107 interviewees, 64.4% are AF practitioners. Regarding BMI 6.5% are underweight; 46% are in normal weight; 33% are overweight; 9.3% are lightly obese; 2% with moderate obesity; 3.8% with morbid obesity, being 1.8%. Through the data analyzed through the questionnaire GENERAL, IPAQ and the program of statistical analysis SPSS, it was verified that the higher the BMI, the worse the classification concerning the level of physical activity. Thus, we notice the importance of actions aimed at university students to practice physical activity, as well as strategies aimed at health promotion and prevention of sedentrary individuals’ diseases.Keywords: Exercise. Obesity. Health Promotion.

scholarly journals Burnout in master's students: A case study

2021 ◽  
Vol 11 (2) ◽  
pp. 65-68
Author(s):  
Vesna Miltojević ◽  
Ivana Ilić-Krstić ◽  
Anđelija Orlić
Keyword(s):  
University Students ◽  
Workplace Stress ◽  
Three Dimensions ◽  
Master's Students ◽  
Sociodemographic Variables ◽  
School Burnout ◽  
Inducing Factors ◽  
Tuition Fee

Burnout is associated with long-term exposure to workplace stress and it comprises exhaustion, cynicism, and the feeling of inadequacy as its dimensions. University students are exposed to a variety of stress-inducing factors during their studies regardless of the fact that they are not employees. The aim of this study is to examine the relations between specific sociodemographic variables and burnout dimensions among students of master academic studies. School Burnout Inventory (SBI-U 9) is used as the research instrument. The obtained results indicate that there is a connection between students' gender and tuition fee status and burnout. Gender is associated with exhaustion and the feeling of inadequacy, while tuition fee status affects all three dimensions.

Physical Inactivity in Nigerian Young Adults: Prevalence and Socio-Demographic Correlates

2011 ◽  
Vol 8 (8) ◽  
pp. 1135-1142 ◽  
Author(s):  
Babatunde O.A. Adegoke ◽  
Adewale L. Oyeyemi
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Physical Inactivity ◽  
Multinomial Logistic Regression ◽  
Sociodemographic Variables ◽  
Highly Active ◽  
Demographic Correlates ◽  
Sociodemographic Correlates ◽  
Nigerian University ◽  
Activity Questionnaire

Background:This study assessed the prevalence of physical inactivity and the influence of sociodemographic variables on physical activity categories, highlighting the correlates of physical inactivity in Nigerian young adults.Methods:A representative sample of young adults age 16 to 39 years (n = 1006) from a Nigerian University were categorized using the International Physical Activity Questionnaire as physically inactive, moderately active, and highly active. Prevalence rates were computed for the activity categories and the independent associations of sociodemographic correlates on each category were determined using the multinomial logistic regression.Results:Physical inactivity prevalence was 41%. More likely to be inactive were females (OR = 1.93; CI: 1.49−2.49), those of Hausa ethnicity (OR = 2.29; CI: 1.08−5.84), having BMI > 30 kg/m2 (OR = 2.88; CI: 1.16−7.17), and those whose parents’ annual income was < 180,000 NAIRA (OR = 1.69; CI: 1.04−2.95). Less likely to be moderately active were females (OR = 0.71; CI: 0.61−0.95), those with BMI between 25.0 to 29.9 kg/m2 (OR = 0.46; CI: 0.23−0.92), and those of Hausa ethnicity (OR = 0.17; CI: 0.04−0.74).Conclusion:Important sociodemographic variables that can contribute to the preliminary analysis of correlates of physical inactivity among Nigerian young adults were identified.

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