Sociocultural Correlates of Physical Activity in Adolescents

2000 ◽  
Vol 12 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Lennart Raudsepp ◽  
Roomet Viira
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Social Class ◽  
Family Income ◽  
Significant Others ◽  
Activity Level ◽  
Activity Levels ◽  
Best Friend ◽  
The Family ◽  
Physical Activity Recall

This study examined the relative contributions of sex, social class, socioeconomic status of the family, and exercise behavior of significant others (father, mother, sister, brother, best friend) to the variability of physical activities of 13–15-year-old urban adolescents (N = 475). Physical activity was measured using 7-day physical activity recall. Family income was negatively correlated with physical activity of adolescents. Physical activity of the father, older brother, and best friend was associated with a higher activity level of adolescents (r = 0.24–0.33). Sex and social class of the families accounted for 18% of the variance of the adolescents’ physical activity. When the physical activity of the father, older brother, and best friend were entered into regression analysis, a total of 32% of the variation in adolescents’ physical activity was explained. Physical activity of adolescents is associated with sex, activity levels of significant others, and socioeconomic status of the family.

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.

Health, Physical Activity Level, and Employment Status in Canada

1993 ◽  
Vol 23 (4) ◽  
pp. 743-761 ◽  
Author(s):  
J. Paul Grayson
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Employment Status ◽  
Family Income ◽  
Activity Level ◽  
Poor Health ◽  
Activity Levels ◽  
The Past ◽  
Physical Activity Levels ◽  
The Unemployed

Over the past few years, research from several countries has demonstrated an association between unemployment and poor health. In addition, a number of studies have established a link between physical activity level and health. As yet, however, there has been no comparison of the physical activity levels of the employed and the unemployed in a national population and of the extent to which the health of the employed and unemployed varies with physical activity levels. The research presented in this article demonstrates that in Canada, while the unemployed report comparable levels of physical activity to the employed, for all levels of physical activity, they are less healthy than the employed, even after adjustments are made for age, gender, and adequacy of family income. The effects of unemployment on health, however, vary by duration of employment. Overall, the findings suggest that some benefits of elevated levels of physical activity are dampened by the consequences of unemployment.

scholarly journals Lifestyle E-Coaching for Physical Activity Level Improvement: Short-Term and Long-Term Effectivity in Low Socioeconomic Status Groups

2019 ◽  
Vol 16 (22) ◽  
pp. 4427 ◽  
Author(s):  
Hanne Spelt ◽  
Thomas Tsiampalis ◽  
Pania Karnaki ◽  
Matina Kouvari ◽  
Dina Zota ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Behavioral Control ◽  
Cost Effective ◽  
Activity Level ◽  
Control Group ◽  
Perceived Behavioral Control ◽  
Low Ses ◽  
Activity Levels

E-coaching applications can improve people’s lifestyles; however, their impact on people from a lower socioeconomic status (low SES) is unknown. This study investigated the effectiveness of a lifestyle e-coaching application in encouraging people facing low SES disadvantages to engage in a more active lifestyle over a course of 19 weeks. In this bicountry study, 95 people with low activity level (GR: 50, NL: 45) used a mobile application linked to a wearable activity tracker. At the start and after 6 and 19 weeks, self-reported physical activity levels, attitudes, and intention towards increasing activity levels, perceived behavioral control, and wellbeing were measured. Results indicated that participants using the lifestyle e-coaching application reported significantly more often an increase in activity levels than a parallel control group. Additionally, the people using the application also more often reported increased levels of wellbeing and perceived behavioral control. Therefore, lifestyle e-coaching applications could be a cost-effective solution for promoting healthier lifestyles in low-SES populations.

scholarly journals Impact of Social Distancing Associated with The COVID-19 Pandemic on Physical Activity Levels and Associations With Mood State: An Internet-Based Survey

2020 ◽  
Author(s):  
Paulo Puccinelli ◽  
Taline da Costa ◽  
Aldo Seffrin ◽  
Claudio de Lira ◽  
Rodrigo Vancini ◽  
...  
Keyword(s):  
Physical Activity ◽  
Mood Disorders ◽  
Family Income ◽  
Negative Impact ◽  
Mood State ◽  
Activity Level ◽  
Activity Levels ◽  
Social Distancing ◽  
Physical Activity Levels ◽  
The Impact

Abstract BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has resulted in a strong negative impact on economic and social life worldwide. It has also negatively influenced people’s general health and quality of life. The aim of the present study was to study the impact of social distancing on physical activity level, and the association between mood state (depression and anxiety level) or sex with actual physical activity levels, the change in physical activity during social distancing period, the adhesion level to social distancing, the adoption time of social distancing, family income and age. METHODS: A self-administered questionnaire with personal, quarantine, physical activity, and mood state disorders information’s was answered by 2,140 female and male Brazilians who were recruited through online advertising. RESULTS: Thirty percent of the participants presented symptoms of moderate/severe depression and 23.3% displayed moderate/severe anxiety symptoms. A greater presence of symptoms related to anxiety and depression were associated with low physical activity levels, low family monthly income, and younger age. A higher percentage of men who had no mood disorders was observed among those who were very active than among those less active. CONCLUSION: The COVID-19 pandemic has a negative impact on physical activity. Those who reduced their level of physical activity had the highest levels of mood disorders. Therefore, considering all the non-communicable diseases and mental diseases associated with physical inactivity, humans are likely to be much more vulnerable during this period of social distancing, including that of combating a possible COVID-19 disease. Therefore, physical activity programs should be encouraged, while respecting the necessary social distancing to prevent the spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2).

scholarly journals Later sleep timing predicts accelerated summer weight gain among elementary school children: a prospective observational study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jennette P. Moreno ◽  
Javad Razjouyan ◽  
Houston Lester ◽  
Hafza Dadabhoy ◽  
Mona Amirmazaheri ◽  
...  
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Sleep Duration ◽  
Obesity Prevention ◽  
Prospective Observational Study ◽  
Light Exposure ◽  
Activity Level ◽  
Activity Levels ◽  
School Year ◽  
Children’S Sleep

Abstract Objectives and background Social demands of the school-year and summer environment may affect children’s sleep patterns and circadian rhythms during these periods. The current study examined differences in children’s sleep and circadian-related behaviors during the school-year and summer and explored the association between sleep and circadian parameters and change in body mass index (BMI) during these time periods. Methods This was a prospective observational study with 119 children ages 5 to 8 years with three sequential BMI assessments: early school-year (fall), late school-year (spring), and beginning of the following school-year in Houston, Texas, USA. Sleep midpoint, sleep duration, variability of sleep midpoint, physical activity, and light exposure were estimated using wrist-worn accelerometry during the school-year (fall) and summer. To examine the effect of sleep parameters, physical activity level, and light exposure on change in BMI, growth curve modeling was conducted controlling for age, race, sex, and chronotype. Results Children’s sleep midpoint shifted later by an average of 1.5 h during summer compared to the school-year. After controlling for covariates, later sleep midpoints predicted larger increases in BMI during summer, (γ = .0004, p = .03), but not during the school-year. Sleep duration, sleep midpoint variability, physical activity levels, and sedentary behavior were not associated with change in BMI during the school-year or summer. Females tended to increase their BMI at a faster rate during summer compared to males, γ = .06, p = .049. Greater amounts of outdoor light exposure (γ = −.01, p = .02) predicted smaller increases in school-year BMI. Conclusions Obesity prevention interventions may need to target different behaviors depending on whether children are in or out of school. Promotion of outdoor time during the school-year and earlier sleep times during the summer may be effective obesity prevention strategies during these respective times.

scholarly journals Choroidal Thickness and Volume Modifications Induced by Aerobic Exercise in Healthy Young Adults

2020 ◽  
Author(s):  
Gema Insa-Sánchez ◽  
Lorena Fuentes-Broto ◽  
Alberto Cobos ◽  
Elvira Orduna Hospital ◽  
Francisco Segura ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Physical Exercise ◽  
Choroidal Thickness ◽  
Activity Level ◽  
Enhanced Depth Imaging ◽  
Activity Levels ◽  
Imaging Protocol ◽  
Post Exercise ◽  
Physical Activity Levels

<b><i>Introduction:</i></b> Our aim was to evaluate the changes in choroidal thickness (CT) and volume (CV) following aerobic physical exercise in healthy young adults. <b><i>Methods:</i></b> This study included 72 eyes from healthy volunteers between 22 and 37 years old. Using the International Physical Activity Questionnaire, total physical activity was computed. Measurements using an autorefractometer, ocular biometry, and spectral-domain optical coherence tomography using the Enhanced Depth Imaging protocol were taken. OCT was performed as a baseline measurement and after performing 10 min of dynamic physical exercise (3 and 10 min post-exercise). The choroidal layer was manually segmented, and the CT and CV in different areas from the Early Treatment Diabetic Retinopathy Study grid were obtained. <b><i>Results:</i></b> In healthy adults, at 3 min post-exercise, CT was higher in the subfoveal, the 3-mm nasal, and the 6-mm superior areas. Between 3 and 10 min post-exercise, the CT was reduced in all areas, and in some areas, the values were even smaller than the baseline measurements. The CV values showed changes after exercise similar to those of thickness. The total CV recovery after exercise was related to sex and physical activity level. <b><i>Conclusion:</i></b> Individuals with higher physical activity habits had greater CV at rest than those with lower physical activity levels. During exercise, healthy young people adjust CT and CV. At 3 min post-exercise, CT and CV increase. Women and individuals with greater physical activity levels reduce their total CV more than others during recovery.

scholarly journals Reduced level of physical activity during COVID-19 pandemic is associated with depression and anxiety levels: an internet-based survey

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Paulo José Puccinelli ◽  
Taline Santos da Costa ◽  
Aldo Seffrin ◽  
Claudio Andre Barbosa de Lira ◽  
Rodrigo Luiz Vancini ◽  
...  
Keyword(s):  
Physical Activity ◽  
Mood Disorders ◽  
Physical Activity Level ◽  
Negative Impact ◽  
Mood State ◽  
Activity Level ◽  
Activity Levels ◽  
Depression And Anxiety ◽  
Social Distancing ◽  
Physical Activity Levels

Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has resulted in a strong negative impact on economic and social life worldwide. It has also negatively influenced people’s general health and quality of life. The aim of the present study was to study the impact of social distancing on physical activity level, and the association between mood state (depression and anxiety level) or sex with actual physical activity levels, the change in physical activity caused by social distancing period, the adhesion level to social distancing, the adoption time of social distancing, family income and age. Methods A self-administered questionnaire with personal, quarantine, physical activity, and mood state disorders information’s was answered by 2140 Brazilians of both sex who were recruited through online advertising. Results The physical activity level adopted during the period of social distancing (3.5 ± 0.8) was lower than that the adopted prior to the pandemic period (2.9 ± 1.1, p < 0.001). Thirty percent of the participants presented symptoms of moderate/severe depression and 23.3% displayed moderate/severe anxiety symptoms. A greater presence of symptoms related to anxiety and depression were associated with low physical activity levels, low family monthly income, and younger age. A higher percentage of men who had no mood disorders was observed among those who were very active than among those less active. Conclusion The COVID-19 pandemic has a negative impact on physical activity. Those who reduced their level of physical activity had the highest levels of mood disorders. Therefore, physical activity programs should be encouraged, while respecting the necessary social distancing to prevent the spread of Severe Acute Respiratory Syndrome Coronavirus 2.

scholarly journals Physical activity level of adult cats with varied feeding frequency

2011 ◽  
Vol 106 (S1) ◽  
pp. S166-S169 ◽  
Author(s):  
Ping Deng ◽  
Ryan W. Grant ◽  
Kelly S. Swanson
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Body Condition ◽  
Body Condition Score ◽  
Activity Level ◽  
Feeding Time ◽  
Activity Levels ◽  
Feeding Frequency ◽  
Condition Score ◽  
Adult Cats

The prevalence of feline obesity is influenced by numerous factors, including inactivity and overconsumption of food. The objective of the present study was to evaluate the effect of feeding frequency on physical activity in adult cats. A total of twelve healthy adult cats were used in a cross-over study consisting of 32 d. In each of the two periods, six cats were fed either two meals or four meals daily. Throughout the study, cats were fed the same diet at amounts to maintain body weight and body condition score. Cats were individually housed 4 h/d at each scheduled feeding time, while for the other 20 h, cats were group-housed to allow for voluntary physical activity in the room with a 16 h light–8 h dark cycle. Voluntary activity levels were evaluated using Actical activity collars for seven consecutive days in each period. Daily average activity level for two-meal-fed cats (20·04 (sem 2·19), activity counts/epoch (15 s)) was not different from four-meal-fed cats (20·14 (sem 2·15), activity counts/epoch (15 s); P>0·05). In conclusion, when group-housed cats are fed to maintain their body weight and body condition score, varied feeding frequency between twice and four times daily may not affect activity levels.

scholarly journals How Much Observation Is Enough? Refining the Administration of SOPARC

2011 ◽  
Vol 8 (8) ◽  
pp. 1117-1123 ◽  
Author(s):  
Deborah A. Cohen ◽  
Claude Setodji ◽  
Kelly R. Evenson ◽  
Phillip Ward ◽  
Sandra Lapham ◽  
...  
Keyword(s):  
Physical Activity ◽  
Los Angeles ◽  
Interobserver Reliability ◽  
Intraclass Correlation ◽  
Activity Level ◽  
Activity Levels ◽  
User Characteristics ◽  
Systematic Observation ◽  
Robust Estimate ◽  
Neighborhood Parks

Background:The Systematic Observation of Play and Recreation in Communities (SOPARC) was designed to estimate the number and characteristics of people using neighborhood parks by assessing them 4 times/day, 7 days/week. We tested whether this schedule was adequate and determined the minimum number of observations necessary to provide a robust estimate of park user characteristics and their physical activity levels.Methods:We conducted observations every hour for 14 hours per day during 1 summer and 1 autumn week in 10 urban neighborhood parks: 2 each in Los Angeles, CA; Albuquerque, NM; Columbus, OH; Durham, NC; and Philadelphia, PA. We counted park users by gender, age group, apparent race/ethnicity, and activity level. We used a standardized Cronbach’s alpha and intraclass correlation coefficients to test the reliability of using fewer observations.Results:We observed 76,632 individuals, an average of 547/park/day (range 155−786). Interobserver reliability ranged from 0.80 to 0.99. Obtaining a robust estimate of park user characteristics and their physical activity required a schedule of 4 days/week, 4 times/day.Conclusion:An abbreviated schedule of SOPARC was sufficient for estimating park use, park user characteristics, and physical activity. Applying these observation methods can augment physical activity surveillance.

Maximal Oxygen Uptake and Daily Physical Activity in 7- to 12-Year-Old Boys

1993 ◽  
Vol 5 (4) ◽  
pp. 357-366 ◽  
Author(s):  
Hazzaa M. Al-Hazzaa ◽  
Mohammed A. Sulaiman
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Oxygen Uptake ◽  
Maximal Oxygen Uptake ◽  
Open Circuit ◽  
Daily Physical Activity ◽  
Activity Level ◽  
Activity Levels ◽  
School Time ◽  
The Relationship

The present study examined the relationship between maximal oxygen uptake (V̇O2max) and daily physical activity in a group of 7- to 12-year-old boys. V̇O2max was assessed through the incremental treadmill test using an open circuit system. Physical activity level was obtained from heart rate telemetry outside of school time for 8 hrs during weekdays and during 40 min of physical education classes. The findings indicated that the absolute value of V̇O2max increased with age, while relative to body weight it remained almost the same across age, with a mean of 48.4 ml · kg−1 · min−1. Moreover, heart rate telemetry showed that the boys spent a limited amount of time on activities that raise the heart rate to a level above 160 bpm (an average of 1.9%). In addition, V̇O2max was found to be significantly related to the percentage of time spent at activity levels at or above a heart rate of 140 bpm, but not with activity levels at or above a heart rate of 160 bpm.

Sign in / Sign up

Export Citation Format

Share Document