scholarly journals Physical Activity and Sedentary Behaviors of Young Children: Trends from 2009 to 2018

2020 ◽  
Vol 17 (5) ◽  
pp. 1645
Author(s):  
Fotini Venetsanou ◽  
Kyriaki Emmanouilidou ◽  
Olga Kouli ◽  
Evangelos Bebetsos ◽  
Nikolaos Comoutos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Educational Level ◽  
Strong Predictor ◽  
Practical Importance ◽  
Sedentary Behaviors ◽  
Cross Sectional ◽  
Family Affluence ◽  
School Time ◽  
Parental Educational Level ◽  
The One

Over the last decade, the lives of children in several countries, including Greece, have been affected by recession. The aim of the present study was (a) to examine time trends in physical activity (PA) and screen time (ST) of Greek preschool children, together with their family affluence (FA), from 2009 until 2018, and to explore the associations among them; and (b) to investigate the connections of parental educational level and children’s BMIs to their achieving ST (<1 h/day) and PA (11,500 steps/day) guidelines. A total of 652 children from four cross-sectional cohorts participated. PA was recorded with Omron HJ-720IT-E2 pedometers, whereas ST, family affluence (FA) and parental educational level were reported by participants’ parents. The results of the one-way ANOVAs that were computed revealed statistically significant differences among cohorts, albeit of no practical importance, in PA, ST and FA. According to the regressions calculated, neither BMI nor the educational level was related to membership in ST and PA guidelines groups. ST was a significant predictor of children’s PA in all week periods (school-time, leisure-time, weekend), whereas FA was not such a strong predictor. Multilevel interventions aiming at both ST and PA seem to be imperative for the benefit of young children’s health.

scholarly journals Influence of the Parental Educational Level on Physical Activity in Schoolchildren

2020 ◽  
Vol 12 (9) ◽  
pp. 3920 ◽  
Author(s):  
Inés M. Muñoz-Galiano ◽  
Jonathan D. Connor ◽  
Miguel A. Gómez-Ruano ◽  
Gema Torres-Luque
Keyword(s):  
Physical Activity ◽  
Secondary School ◽  
Primary School ◽  
Sedentary Behavior ◽  
Educational Level ◽  
Parental Education ◽  
Sedentary Behaviors ◽  
School Students ◽  
Parental Educational Level ◽  
Watching Tv

The factors influencing physical activity participation in children are varied, although there is evidence that the educational level of parents may be one important factor. The aim of this study is to analyze the influence of parental education on the level of physical activity and the sedentary behavior of their children. The parents of 727 students, separated based on school group (preschool: n = 179; primary: n = 284; secondary: n = 230; high: n = 34), were invited to complete a series of questionnaires assessing their educational level (low, intermediate, and high) and their child’s level of physical activity and sedentary behavior. Primary school students with high- and intermediate-educated parents were found to engage in significantly more physical activity per week and spent more time engaged in homework than children with lower-educated parents. Secondary school students with higher-educated parents were found to spend significantly less time engaged in sedentary behavior than children with lower- or intermediate-educated parents, and high schoolers with higher-educated parents engaged in less tablet time than children with lower-educated parents. Multiple linear regression demonstrated that greater physical activity was precipitated by certain sedentary behaviors in children with more educated parents, such as total time watching TV (primary school), doing homework (secondary school), and total time using a tablet/similar (high school), which increased total time engaged in physical activity. These findings suggest that more educated parents may implement structured time for their children to engage in a balance of physical activity and sedentary behaviors.

Prevalence of Physical Activity and Sedentary Behaviors in US High School Students by Metropolitan Status and Geographic Region

2006 ◽  
Vol 3 (4) ◽  
pp. 365-380 ◽  
Author(s):  
Andrew E. Springer ◽  
Deanna M. Hoelscher ◽  
Steven H. Kelder
Keyword(s):  
Physical Activity ◽  
High School Students ◽  
Sedentary Behavior ◽  
Geographic Region ◽  
Sedentary Behaviors ◽  
The South ◽  
School Students ◽  
Cross Sectional ◽  
Nationally Representative ◽  
Tv Watching

Background:Geographic differences in the prevalence of physical activity (PA) have been found among adults in the US; similar studies have not been conducted among adolescents.Methods:Using nationally representative cross-sectional data from the CDC’s 2003 Youth Risk Behavior Survey, we estimated the prevalence of PA and sedentary behaviors by metropolitan status and geographic region.Results:The prevalence of PA was lowest and prevalence of sedentary behavior highest for urban students. Students from the South reported the lowest prevalence of PA and the highest prevalence of TV watching, while students from the West generally reported the highest PA prevalence and lowest sedentary behavior prevalence. Prevalence differences ranged from < 1.0% to > 15%, with most differences falling between 5% and 10%.Conclusions:Findings mirror regional variations previously observed in adult PA. We need to understand factors that contribute to lower PA in youth living in the South and in urban settings.

scholarly journals Deteksi Dini Faktor Risiko Penyakit Jantung dan Pembuluh Darah, Hubungan Antara Obesitas, Aktivitas Fisik dan Kolesterol Total di Kecamatan Kertapati, Kota Palembang

2020 ◽  
Vol 5 (2) ◽  
pp. 96-103
Author(s):  
Achmad Ridwanmo ◽  
Mariatul Fadillah ◽  
Tri Hari Irfani
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Total Cholesterol ◽  
P Value ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
Multistage Sampling ◽  
The One ◽  
High Level

Background: Cardiovascular disease is the first cause of death in Indonesia. The prevalence of stroke based on diagnosis rose from 7 (2013) to 10.9 per mil (2018), The prevalence of cardiovascular disease is 1.5 per mil. Research on the detection of risk factors for cardiovascular disease using a cardiovascular risk score according to WHO and the Jakarta Score has never been conducted in Palembang. The purpose of this study is to conduct early detection of risk factors to predict cardiovascular disease in the next 10 years, and find out the relationship between obesity, physical activity to reduce cholesterol.Methods: This research was conducted using an observational analytic study with cross sectional design and multistage sampling method. Samples in this study were 126 people from 3 village in Kertapati district in Palembang City.Result: The research showed that high level risk to cardiovascular disease in 10 years by using WHO non laboratory, laboratory and Jakarta Score was 4,8%, 6,7%, 61,9% respectively. Whereas, the moderate risk was 20%, 26,2% and 25,4%. There was no association between obesity and total cholesterol (p=0.682), but there was an association between physical activity and total cholesterol (p=0.030, OR 3,1). Moreover, there was a total cholesterol’s mean difference between none/mild, moderate, and severe physical activity that is 36,6 mg/dl (t test, p-value: 0,005).Conclusion: Lack of physical activity could be the one of cholesterol risk factor. Therefore, doing the physical activity could prevent the cardiovascular disease.

scholarly journals Associations Between Leisure-Time Sedentary Behaviors with Unhealthy Dietary Behaviors and Leisure-Time Physical Activity Among Chinese Adults: A Cross-Sectional Study

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1771-1771
Author(s):  
Yun Wang ◽  
Yi-Fei Ouyang ◽  
Xiao-Fang Jia ◽  
Bing Zhang ◽  
Zhihong Wang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Computer Time ◽  
Cross Sectional Study ◽  
Dietary Behaviors ◽  
Sedentary Behaviors ◽  
Chinese Adults ◽  
Cross Sectional ◽  
Television Time

Abstract Objectives Evidence that sedentary behaviors were correlated with unhealthy diet and physical activity were mostly among children and adolescents, but still limited for adults. The aim of this study was to examine the associations between screen-based leisure-time sedentary behaviors (LTSB) including television time and computer time with unhealthy dietary behaviors, and leisure-time physical activity (LTPA) among Chinese adults. Methods Participants (n = 10,108, aged 18–59 years) from a recent cross-sectional study of CHNS (China Health and Nutrition Survey) conducted in 2015 were analyzed. Time spent in LTSB and LTPA were collected from questionnaire. Unhealthy dietary behaviors were collected from three consecutive 24-hour food recalls and the food frequency method. Multivariable logistic regression models were produced to study the odds ratios for unhealthy dietary behaviors and LTPA as the function of the quintile of LTSB. Results Versus the lowest quartile, the OR(95%CI) of the highest quintile of computer time for insufficient vegetable intake (&lt; 300 g/d) was 1.4(1.0,2.0) for male and 1.5(1.1,2.2) for female; the OR(95%CI) for excessive snack intake (≥1 time/day) was 1.6(1.0,2.3) for male and 1.7(1.3,2.4) for female; the OR(95%CI) for excessive western fast food intake (≥1 time/week) was 2.4(1.2,4.4) for male and 2.7(1.4,4.9) for female. The OR(95%CI) of the highest quintile of television time for no LTPA group (0 Mets.h/w) was 1.8(1.3,2.6) for male and 1.5(1.1,2.0) for female; the OR(95%CI) for sufficient LTPA group (≥8 Mets.h/w) was 0.5(0.4,0.8) for male and 0.7(0.5,0.9) for female. The OR(95%CI) of the highest quintile of computer time for no LTPA group (0 Mets.h/w) was 0.4(0.3,0.6) for male and 0.5(0.4,0.7) for female; the OR(95%CI) for sufficient LTPA (≥8 Mets.h/w) group was 2.4(1.7,3.3) for male and was 2.1(1.5,2.9) for female. Conclusions LTSB were associated with unhealthy dietary behaviors and mixed LTPA among Chinese adults. The patterns of “Television time-less LTPA” and “Computer time-unhealthy diet-more LTPA” for Chinese adults were principal associations. Our findings suggest the need for different behavior preventive intervention on different types of screen-based LTSB among Chinese adults. Funding Sources The survey received funding from NIH and from Ministry of Finance of the People's Republic of China.

Effect of contrasted levels of habitual physical activity on metabolic flexibility

2013 ◽  
Vol 114 (3) ◽  
pp. 371-379 ◽  
Author(s):  
Audrey Bergouignan ◽  
Edwina Antoun ◽  
Iman Momken ◽  
Dale A. Schoeller ◽  
Guillemette Gauquelin-Koch ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Diseases ◽  
Bed Rest ◽  
Normal Weight ◽  
Activity Level ◽  
Habitual Physical Activity ◽  
Metabolic Flexibility ◽  
Sedentary Behaviors ◽  
Cross Sectional ◽  
Metabolic Inflexibility

The factors regulating the body's ability to switch from fat to carbohydrate oxidation in response to fuel availability changes, or metabolic flexibility (MF), are currently intensively investigated in the context of metabolic diseases. Although numerous metabolic diseases are associated with sedentary behaviors and metabolic inflexibility, the effect of habitual physical activity level (PAL) on MF regulation is surprisingly poorly known. We investigated how PAL affects MF in cross-sectional and interventional studies. MF was assessed in 44 subjects: normal-weight and overweight sedentary men submitted to 2 mo of exercise at current recommendations, normal-weight active men submitted to 1 mo of reduced PAL and normal-weight women submitted to 1 mo of bed rest, with or without exercise. MF was evaluated, before and after interventions, following two standard meals as the relationship between individual mathematical variances in insulin and nonprotein respiratory quotient (NPRQ) daily kinetics. Daily NPRQ and insulin variances differed according to habitual PAL ( P = 0.002 and P = 0.009, respectively); active subjects had higher variances in NPRQ for lower variances in insulin than sedentary subjects, indicating a better MF. Detraining increased insulin variance ( P = 0.009) and decreased NPRQ variance ( P = 0.003), while training tended to have opposite effects. Insulin and NPRQ variances were negatively related along the PAL continuum ( R2 = 0.70, P < 0.001). Variance in NPRQ was also positively related to PAL ( R2 = 0.52, P < 0.001). By assessing MF with mathematical surrogates in conditions of daily pattern in meal's intake, we showed that habitual PAL is associated with MF status, and that MF is modulated by changes in PAL.

scholarly journals Knowledge and Public Awareness of Cancer Risk Factors and Determinants among Yemeni adults- A Community Based Cross-Sectional Study

2021 ◽  
Vol 319 ◽  
pp. 01051
Author(s):  
Amran Ibrahim ◽  
Karima El Rhazi ◽  
Bouchra Benazzouz ◽  
Sawson Mohammed
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cancer Risk ◽  
Educational Level ◽  
Public Awareness ◽  
Process Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Cancer Risk Factors ◽  
Fresh Vegetables

Cancer is the second biggest cause of premature death after cardiovascular diseases. However, the majority of cancers are caused by risk factors that may be changed. Knowledge is frequently a component of the behavior modification process. Data on the target population’s level of knowledge is required. A cross-sectional survey about nine risk factors for cancer was conducted in four areas in Yemen. The data was analyzed using spss statistics (version20). Among the (571) subjects who took part in the research. The majority of respondents agreed that active smoking, alcohol consumptions are cancer risk factors and physical activity as a preventive factor for developing cancer. However, fewer respondents agreed that passive smoking, lack of fresh vegetables and fruits, sun overexposure, obesity, air pollution in cities and indoor smoke, physical inactivity are cancer risk factors. Participants’ responses were shown to have a strong relationship with their educational level, residency, and gender. The higher the educational level and whenever the gender was male and residency urban the higher the probability that respondents identified cancer risk factors including smoking and physical activity as a preventive factor (p<0.0005). The findings show that this community has little knowledge of prevalent cancer risk factors.

scholarly journals Are associations between home environment and preschool children’s sedentary time influenced by parental educational level in a cross-sectional survey?

2020 ◽  
Author(s):  
Elviira Lehto ◽  
Reetta Lehto ◽  
Carola Ray ◽  
Riikka Pajulahti ◽  
Nina Sajaniemi ◽  
...  
Keyword(s):  
Sedentary Behaviour ◽  
Home Environment ◽  
Educational Level ◽  
Screen Time ◽  
Psychological Control ◽  
Sedentary Time ◽  
Statistical Significance ◽  
Health Concern ◽  
Cross Sectional ◽  
Parental Educational Level

Abstract Background: Childhood obesity is a major public health concern, especially in low socioeconomic groups. Sedentary time (SED) is an important predictor of obesity. To be able to diminish SED it is important to find modifiable predictors of sedentary behavior. The home environment associated with children’s SED may vary by parental socioeconomic status. This study aims to clarify the association between parental educational level (PEL) and the home environment of 3–6-year-old children, and to examine how home environment associates with children’s SED, and whether PEL modifies these associations. Methods: A cross-sectional Increased health and wellbeing in preschools (DAGIS) study was conducted in 2015–2016 in Finland. The parents (n=809) filled in questionnaires assessing PEL, and the home physical and social environment related to children’s SED. Children’s SED was measured with accelerometers, which the children (n=745) wore for one week. Results: High PEL was associated with a home environment restraining sedentary behaviour compared with low PEL. Stricter descriptive norms about screen time, considering it important to limit the child’s screen time, and satisfaction about the child’s screen time associated with children’s lower SED. The association with parental psychological control and SED was influenced by PEL. In the PEL stratified analyses, however, the associations between psychological control and SED did not reach statistical significance. Conclusions: Future interventions aiming to decrease SED should pay attention to relevant factors in children’s sedentary behaviour home environment. It is important to acknowledge the possible PEL differences in these factors.

scholarly journals Physical activity and sedentary behaviors (screen time and homework) among overweight or obese adolescents: a cross-sectional observational study in Yazd, Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ali Mohammad Hadianfard ◽  
Hassan Mozaffari-Khosravi ◽  
Majid Karandish ◽  
Maryam Azhdari
Keyword(s):  
Physical Activity ◽  
Online Education ◽  
Family Size ◽  
Screen Time ◽  
Physical Inactivity ◽  
Normal Weight ◽  
Sedentary Behaviors ◽  
Food Record ◽  
Cross Sectional ◽  
Passive Transportation

Abstract Background The growing number of adolescents who are overweight or obese (OW / OB) is a public concern. The present study was aimed to evaluate physical activity (PA) and sedentary behaviors (SB) (screen time (ST) and homework time (HT)) among Yazd OW/OB adolescents. Methods This cross-sectional study was performed among 510 students aged 12-16 in Yazd, Iran. The general information, PA, and SB (ST and HT) were collected by interview based on the WHO standard questionnaire. Anthropometric data were assessed by precise instruments. Daily energy intake (Energy) was obtained from a 7-day food record. Nutritionist 4 software (version I) was run to estimate the energy. Results There was a high prevalence of SB > 2h/day (97.6), ST > 2h/day (70.3%), overweight or obesity (40%), abdominal obesity (36.9%), physical inactivity (29.8%) among the students. The younger age (p = 0.014), energy (p < 0.001), no access to the yard (p < 0.001), family size ≤ 2 (p = 0.023), passive transportation, (p = 0.001), the highest school days’ HT (p = 0.033) and SB (p = 0.021), and the highest weekends’ HT among the students were the risk factors for OW/OB. The highest PA level was associated with a lower risk of OW/OB (p < 0.001). The findings were not the same in both sexes. Compared to the normal weight students, OW / OB spent more time on school days and weekdays for ST (P <0.001), HT (P <0.001, P = 0.005) and SB (P <0.001), respectively. OW/OB students showed a higher weekends’ ST (p < 0.001) and lower HT (p = 0.048) than normal-weight students. Conclusion The prevalence of SB, ST, OW/OB, and physical inactivity were common. The school days and weekends’ HT, the school days’ SB and HT, age, energy, PA, and access to the yard, family size, and passive transportation were related to the greater chances of OW/OB students. Given that the expansion of online education and self-isolation in a new situation with COVID-19, it seems we will meet the worrying results.

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