scholarly journals Correlates of device-measured physical activity, sedentary behaviour and sleeping in children aged 9-11 years from Chile: ESPACIOS study (Factores asociados con actividad física, conducta sedentaria y sueño medidos con acelerómetros en niños de 9-11 años

Retos ◽  
2019 ◽  
pp. 1-10
Author(s):  
Nicolas Aguilar-Farias ◽  
Pia Martino-Fuentealba ◽  
Damian Chandia-Poblete
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
School Environment ◽  
Self Efficacy ◽  
Screen Time ◽  
Family Income ◽  
Healthy Lifestyle ◽  
Parent Support ◽  
Cross Sectional ◽  
Sleeping Time

Abstract. Background: Little is known about of correlates of physical activity (PA), sedentary behaviour (SB), and sleeping in children from Latin America. The aim of this study was to assess the association between potential correlates with device-measured PA, SB and sleeping time in children from 9 to 11 years in Carahue, Chile. Methods: A cross-sectional study was conducted to assess correlates of physical behaviours (demographic, psychological, behavioural, home and school environment factors) from data reported by participants and caregivers. Each participant wore an ActiGraph GT3X+ accelerometer on the hip during seven consecutive days to measure PA, SB and sleeping time. Results: In total, 148 participants completed the study (47.3% male, 10.0±0.8 years). SB was positively associated with age, being female, family income, total screen time and distance to places, and negatively with higher scores of parent support for PA. Light PA was associated with age, family income, total screen time (all negative), and parent support for PA (positive). Moderate PA was associated with being male, self-efficacy and established healthy lifestyle committee at school. Vigorous PA was associated with being male, self-efficacy (both positive) and BMI z-score (negatively). Sleeping time was associated with age, portable videogame ownership (both negative) and PE minutes/week (positive).Conclusion: Variables from different levels explained each behaviour, reinforcing the need for multilevel strategies for promoting and helping to ensure healthier lifestyles in children.Resumen. Antecedentes: se sabe poco sobre los correlatos de la actividad física (PA), el comportamiento sedentario (SB) y el sueño en niños de América Latina. El objetivo de este estudio fue evaluar la asociación entre los posibles correlatos con la PA, la SB y el tiempo de sueño medidos por el dispositivo en niños de 9 a 11 años en Carahue, Chile. Métodos: se realizó un estudio transversal para evaluar los correlatos de los comportamientos físicos (factores demográficos, psicológicos, de comportamiento, del entorno escolar y del hogar) a partir de los datos informados por los participantes y los cuidadores. Cada participante usó un acelerómetro ActiGraph GT3X + en la cadera durante siete días consecutivos para medir la PA, SB y el tiempo de sueño. Resultados: En total, 148 participantes completaron el estudio (47.3% hombres, 10.0 ± 0.8 años). SB se asoció positivamente con la edad, el hecho de ser mujer, el ingreso familiar, el tiempo total de la pantalla y la distancia a los lugares, y negativamente con puntuaciones más altas de apoyo de los padres para PA. La PA leve se asoció con la edad, el ingreso familiar, el tiempo total de la pantalla (todo negativo) y el apoyo de los padres para la PA (positivo). La PA moderada se asoció con ser hombre, autoeficacia y un comité de estilo de vida saludable establecido en la escuela. La PA vigorosa se asoció con ser hombre, autoeficacia (ambos positivos) y puntaje BMI (negativo). El tiempo de sueño se asoció con la edad, la propiedad de los videojuegos portátiles (ambos negativos) y los minutos / semana de PE (positivo) .Conclusión: las variables de diferentes niveles explicaron cada comportamiento, lo que refuerza la necesidad de estrategias multinivel para promover y ayudar a garantizar estilos de vida más saludables en los niños.

Participants at Norwegian Healthy Life Centres: Who are they, why do they attend and how are they motivated? A cross-sectional study

2018 ◽  
Vol 46 (7) ◽  
pp. 774-781 ◽  
Author(s):  
Gro Beate Samdal ◽  
Eivind Meland ◽  
Geir Egil Eide ◽  
Sveinung Berntsen ◽  
Eirik Abildsnes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Sedentary Behaviour ◽  
Self Efficacy ◽  
Family Income ◽  
Controlled Trial ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Healthy Life

Aims: We examine the characteristics of participants entering Norwegian Healthy Life Centres, their reasons for attending and whether socio-economic status, motivation, self-efficacy and social support relate to physical activity and sedentary behaviour. Methods: This cross-sectional study is part of a randomised controlled trial. Inclusion criteria are that participants should be ≥ 18 years old and able to take part in a physical activity group intervention. Exclusion criteria are severe mental illness and general learning disability. We analysed data using simple and multiple linear regression analyses. Results: We recruited 118 participants from eight Norwegian municipalities between June 2014 and September 2015. Of these, 77% were female, mean (standard deviation) age 48.6 (13.4) years, body mass index 34.0 (5.8) kg/m2 and mean gross family income €61,000. The proportion of participants with upper-secondary school or less as their highest level of education was 55%. The most frequent reasons given for attendance at Healthy Life Centres were being overweight, increasing physical activity, improving diet and having musculoskeletal health challenges. Participants had high levels of autonomous motivation and 79% achieved national recommendations for physical activity. Respect and appreciation in childhood, self-esteem and self-rated health were associated with self-efficacy and social support for physical activity. Conclusions: Participants were predominantly obese, physically active, female and motivated for change. A high proportion had low educational attainment and low incomes. The trial will reveal whether interventions succeed in increasing physical activity further, or in decreasing sedentary behaviour, and whether health inequalities narrow or widen across groups.

scholarly journals Simultaneous presence of excess weight and insufficient hours of sleep in adolescents: prevalence and related factors

2017 ◽  
Vol 27 (2) ◽  
pp. 148
Author(s):  
Tiago Rodrigues de Lima ◽  
Gabriel Renaldo de Sousa ◽  
João Antônio Chula de Castro ◽  
Diego Augusto Santos Silva
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Body Fat ◽  
School Environment ◽  
Paediatric Population ◽  
Health Problems ◽  
Related Factors ◽  
Cross Sectional ◽  
Insufficient Sleep ◽  
School Based

Introduction: An increase in excess body fat and a decrease in the number of hours of sleep per day are health problems affecting the paediatric population. Objective: To estimate the combined prevalence of overweight and insufficient sleep/day in adolescents, and the association with sociodemographic characteristics, physical activity and sedentary behaviour. Methods: A cross-sectional school-based study was conducted with 1,132 participants from 14 to 19 years old in São José, Santa Catarina, Brazil. Body fat was assessed by body mass index (BMI) and classified by the Z-score, while adolescents reported the total hours of sleep/day. Sociodemographic data, physical activity and sedentary behaviour were collected by self-filled questionnaire. Results: The simultaneous prevalence of overweight and insufficient sleep/day was 17.5%. The factors associated with this condition were to meet the recommendations of the practice of physical activity per week, participate in gym class twice/week and period greater/equal to four hours/day in front of the screen. Conclusion: Guidelines in the school environment in relation to health problems posed by weight excess and the amount of insufficient hours sleep can be present when recommendations on physical activity and sedentary behaviour are given to students.

Better health indicators of FitSpirit participants meeting 24-h movement guidelines for Canadian children and youth

2020 ◽  
Author(s):  
Roseane de Fátima Guimarães ◽  
Jo-Anne Gilbert ◽  
Jean Lemoyne ◽  
Marie-Eve Mathieu
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Self Efficacy ◽  
Screen Time ◽  
Vigorous Physical Activity ◽  
Health Indicators ◽  
Perceived Health ◽  
Online Questionnaire ◽  
Cross Sectional

Summary This study aims to determine the proportion of girls who meet the recommendations for moderate-to-vigorous physical activity (MVPA), screen time and sleep duration among FitSpirit participants and evaluate the associations of these recommendations with perceived health-related quality of life (QOL), perceived health, physical activity (PA), self-efficacy and body mass index. Cross-sectional analyses of FitSpirit data were performed. All variables were collected through an online questionnaire. The proportion of girls meeting all recommendations was 2.2%, while 72.5% met either one or two and 25.4% met none. A greater percentage of girls with ≥3 years in FitSpirit met MVPA and sleep recommendations combined when compared with fewer years (12.9% vs. 1.7% with 1 year; vs. 10.1% with 2 years; p < 0.05). Meeting the combinations of MVPA and screen time (β = 0.19, 95% CI = 0.40, 1.68), MVPA and sleep (β = 0.20, 95% CI = 0.27, 1.04) and all three combined (β = 0.17, 95% CI = 0.33, 1.71) was the most significant predictors of better perceived QOL. Respecting MVPA recommendations predicted a better perceived health (β = 0.18, 95% CI = 0.18, 0.87) while girls who slept as recommended had a better PA-related self-efficacy (β = 0.23, 95% CI = 0.51, 2.11). Not meeting any recommendation was associated with inferior PA-related self-efficacy (β = −0.32, 95% CI = −3.03, −1.21). Lastly, meeting MVPA and sleep recommendations was significantly associated with lower body mass index z-scores (β = −0.14, 95% CI = −1.16, −0.11). There was a small percentage of girls following all of the recommendations. Furthermore, meeting individual and combined recommendations was associated with better perceived QOL and health, PA self-efficacy as well as healthier body mass index z-score.

scholarly journals Association of screen time with physical activity and BMI in middle school children at Tamil Nadu, India

2019 ◽  
Vol 7 (1) ◽  
pp. 78
Author(s):  
S. Santha Kumar ◽  
S. Alph Shirley
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
School Children ◽  
Screen Time ◽  
Tamil Nadu ◽  
Healthy Lifestyle ◽  
Vigorous Physical Activity ◽  
Age Group ◽  
Middle School Children ◽  
Cross Sectional

Background: The objective of this study was to find the association of screen time with physical activity and BMI in middle school children in the age group of 11 to 13 years in Tamil Nadu, India.Methods: This cross-sectional observational study was conducted among 139 middle school children aged 11 to 13 years at the state of Tamil Nadu, India from June 2019 to August 2019. Data regarding screen time and physical activity were collected from the children using a predesigned questionnaire and anthropometric measurements done. The data collected were analyzed with suitable statistical methods using SPSS 25 software.Results: Of the 139 children, 46(33.1%) were 11 years, 48(34.5%) were 12 years and 45(32.4%) were 13 years old. 74(53.2%) were male and 65(46.8%) were female. Majority of the study subjects (52.5%) had an average daily screen time of >120 minutes followed by 61 to 120 minutes (28.8%) and ≤60 minutes (18.7%). Of the 139 children studied, only 31.7% (44 children) followed the WHO recommendations of moderate to vigorous physical activity of at least 60 minutes per day, 57.5% of the children had normal BMI, 10.8 % had thinness, 25.2% were overweight and 6.5% were obese. Physical activity was found to decrease with increasing screen time, and this was found to be statistically significant. No statistically significant correlation between screen time and BMI was found. There was statistically significant correlation between physical activity and BMI.Conclusions: There is a significant correlation of screen time with physical activity in this study. Urgent measures need to be taken to decrease screen time and promote a healthy lifestyle.

scholarly journals Physical activity levels in 10- to 11-year-olds: clustering of psychosocial correlates

2005 ◽  
Vol 8 (7) ◽  
pp. 896-903 ◽  
Author(s):  
Greet Cardon ◽  
Renaat Philippaerts ◽  
Johan Lefevre ◽  
Lynn Matton ◽  
Katrien Wijndaele ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Sedentary Behaviour ◽  
Self Efficacy ◽  
Cross Sectional Study ◽  
Perceived Barriers ◽  
Activity Levels ◽  
Cross Sectional ◽  
Psychosocial Correlates ◽  
Physical Activity Levels

AbstractObjectivesTo evaluate gender differences for levels of physical activity, for sedentary behaviour and for psychosocial correlates in children, to evaluate whether psychosocial correlates cluster in meaningful ways and to examine whether physical activity and sedentary behaviour differ between children of clusters, differentiated by the level of perceived barriers and benefits, attitudes, social support and self-efficacy.DesignCross-sectional study using the Flemish Physical Activity Questionnaire.SettingQuestionnaires to be filled out by the children and one of their parents, contacted through the school system.SubjectsA sample of 1124 10- to 11-year-olds (579 boys and 545 girls).ResultsGirls were found to be less active than boys, with boys scoring better for social support, perceived benefits and self-efficacy compared with girls. The way of clustering differed between boys and girls. Boys were allocated to three clusters: one cluster with positive correlates towards physical activity, labelled ‘positives’; one with negative correlates, labelled ‘negatives’; and one characterised mainly by high perceived barriers, labelled ‘hindered’;. In both genders the highest levels of physical activity were found in the ‘positives’;, the lowest in the ‘negatives’;. In girls a fourth cluster was identified, characterised mainly by low perceived barriers and low social support. Physical activity levels in the girls of this cluster, labelled ‘indifferents’;, were the second highest.ConclusionsMore research is needed to further characterise these clusters. To prevent the physical activity decline during the transition from childhood to adulthood, novel interventions need to be explored that focus on children of the clusters with the most negative correlates.

scholarly journals Understanding Correlates of Physical Activity in American Indian Families: The Healthy Children Strong Families-2 Study

2018 ◽  
Vol 15 (11) ◽  
pp. 866-873
Author(s):  
Vernon M. Grant ◽  
Emily J. Tomayko ◽  
Ronald J. Prince ◽  
Kate Cronin ◽  
Alexandra Adams
Keyword(s):  
Physical Activity ◽  
American Indian ◽  
Screen Time ◽  
Family Income ◽  
Healthy Lifestyle ◽  
Sleep Time ◽  
Healthy Children ◽  
Logistic Regression Models ◽  
Child Sleep ◽  
Adults And Children

Background: Little is known about factors contributing to physical activity (PA) in American Indian (AI) populations. Addressing this gap is paramount as sedentary activity and obesity continue to increase in this population. The purpose of this study was to determine factors associated with PA among AI families with young children. Methods: Height and weight of both adult (n = 423) and child (n = 390) were measured, and surveys assessed demographics, PA, stress (adult only), sleep, and screen time. Separate multivariate logistic regression models were constructed for adults and children (reported as adjusted odds ratios, aORs). Results: For adults, age (aOR = 0.952; P ≤ .001), television viewing (aOR = 0.997; P = .01), and computer use (aOR = 0.996; P = .003) decreased the odds of being active. For children, high adult activity (aOR = 1.795; P ≤ .01), longer weekday sleep (aOR = 1.004; P = .01), and family income >$35,000 (aOR = 2.772; P = .01) increased the odds of being active. We found no association between adult PA with stress or adult sleep or between child PA with body mass index and screen time. Conclusions: Given the complexity of the factors contributing to obesity among AI families, multigenerational interventions focused on healthy lifestyle change such as decreasing adult screen time and increasing child sleep time may be needed to increase PA within AI families.

scholarly journals Concurrent Associations between Physical Activity, Screen Time, and Sleep Duration with Childhood Obesity

ISRN Obesity ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Kelly R. Laurson ◽  
Joey A. Lee ◽  
Douglas A. Gentile ◽  
David A. Walsh ◽  
Joey C. Eisenmann
Keyword(s):  
Physical Activity ◽  
Childhood Obesity ◽  
Sleep Duration ◽  
Screen Time ◽  
Healthy Lifestyle ◽  
Total Sample ◽  
Lifestyle Behaviors ◽  
Cross Sectional ◽  
Healthy Lifestyle Behaviors ◽  
Simultaneous Influence

Aim. To examine the simultaneous influence of physical activity, screen time, and sleep duration recommendations on the odds of childhood obesity (including overweight). Methods. Physical activity was assessed via pedometer and screen time, and sleep duration were assessed via survey in a cross sectional sample of 674 children (aged 7–12 years) from two Midwestern communities in the fall of 2005. Participants were cross tabulated into four groups depending on how many recommendations were being met (0, 1, 2, or all 3). Linear and logistic regression were used to examine the influence of physical activity, screen time and sleep duration on obesity and interactions among the three variables. Results. Children achieving all three recommendations simultaneously (9.2% of total sample) were the least likely to be obese. Approximately 16% of boys and 9% of girls achieving all recommendations were overweight or obese compared to 53% of boys and 42.5% of girls not achieving any. Conclusions. The odds of obesity increased in a graded manner for each recommendation which was not met. Meeting all three recommendations appears to have a protective effect against obesity. Continued efforts are warranted to promote healthy lifestyle behaviors that include meeting physical activity, screen time, and sleep duration recommendations concurrently.

Higher Healthy Lifestyle Score is associated with lower presence of non-alcoholic fatty liver disease in middle-aged and older Chinese adults: a community-based cross-sectional study

2021 ◽  
pp. 1-9
Author(s):  
Yun-yang Deng ◽  
Qing-wei Zhong ◽  
Hai-li Zhong ◽  
Feng Xiong ◽  
Yue-bin Ke ◽  
...  
Keyword(s):  
Physical Activity ◽  
Liver Disease ◽  
Fatty Liver Disease ◽  
Healthy Lifestyle ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

Abstract Objective: Previous studies have reported inverse associations between certain healthy lifestyle factors and non-alcoholic fatty liver disease (NAFLD), but limited evidence showed the synergistic effect of those lifestyles. This study examined the relationship of a combination of lifestyles, expressed as Healthy Lifestyle Score (HLS), with NAFLD. Design: A community-based cross-sectional study. Questionnaires and body assessments were used to collect data on the six-item HLS (ranging from 0 to 6, where higher scores indicate better health). The HLS consists of non-smoking (no active or passive smoking), normal BMI (18·5–23·9 kg/m2), physical activity (moderate or vigorous physical activity ≥ 150 min/week), healthy diet pattern, good sleep (no insomnia or <6 months) and no anxiety (Self-rating Anxiety Scale < 50), one point each. NAFLD was diagnosed by ultrasonography. Setting: Guangzhou, China. Participants: Two thousand nine hundred and eighty-one participants aged 40–75 years. Results: The overall prevalence of NAFLD was 50·8 %. After adjusting for potential covariates, HLS was associated with lower presence of NAFLD. The OR of NAFLD for subjects with higher HLS (3, 4, 5–6 v. 0–1 points) were 0·68 (95 % CI 0·51, 0·91), 0·58 (95 % CI 0·43, 0·78) and 0·35 (95 % CI 0·25, 0·51), respectively (P-values < 0·05). Among the six items, BMI and physical activity were the strongest contributors. Sensitivity analyses showed that the association was more significant after weighting the HLS. The beneficial association remained after excluding any one of the six components or replacing BMI with waist circumference. Conclusions: Higher HLS was associated with lower presence of NAFLD, suggesting that a healthy lifestyle pattern might be beneficial to liver health.

Sign in / Sign up

Export Citation Format

Share Document