Understanding the Relationship Between Dog Ownership and Children’s Physical Activity and Sedentary Behavior

2018 ◽  
pp. 113-130
Author(s):  
Hayley Christian ◽  
Carri Westgarth ◽  
Danny Della Vedova
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Dog Ownership ◽  
The Relationship ◽  
Children’S Physical Activity

scholarly journals Understanding the relationship between dog ownership and children's physical activity and sedentary behaviour

2012 ◽  
Vol 8 (5) ◽  
pp. 392-403 ◽  
Author(s):  
H. Christian ◽  
G. Trapp ◽  
C. Lauritsen ◽  
K. Wright ◽  
B. Giles-Corti
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Dog Ownership ◽  
The Relationship ◽  
Children’S Physical Activity

scholarly journals Cannabis use, sedentary behavior, and physical activity in a nationally representative sample of US adults

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Lydia Q. Ong ◽  
John Bellettiere ◽  
Citlali Alvarado ◽  
Paul Chavez ◽  
Vincent Berardi
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Health Impact ◽  
Cannabis Use ◽  
Objective Measures ◽  
Health And Nutrition ◽  
Nationally Representative ◽  
The Relationship ◽  
Potential Public Health

Abstract Background Prior research examining the relationship between cannabis use, sedentary behavior, and physical activity has generated conflicting findings, potentially due to biases in the self-reported measures used to assess physical activity. This study aimed to more precisely explore the relationship between cannabis use and sedentary behavior/physical activity using objective measures. Methods Data were obtained from the 2005–2006 National Health and Nutrition Examination Survey. A total of 2,092 participants (ages 20–59; 48.8% female) had accelerometer-measured sedentary behavior, light physical activity, and moderate-to-vigorous physical activity. Participants were classified as light, moderate, frequent, or non-current cannabis users depending on how often they used cannabis in the previous 30 days. Multivariable linear regression estimated minutes in sedentary behavior/physical activity by cannabis use status. Logistic regression modeled self-reported moderate-to-vigorous physical activity in relation to current cannabis use. Results Fully adjusted regression models indicated that current cannabis users’ accelerometer-measured sedentary behavior did not significantly differ from non-current users. Frequent cannabis users engaged in more physical activity than non-current users. Light cannabis users had greater odds of self-reporting physical activity compared to non-current users. Conclusions This study is the first to evaluate the relationship between cannabis use and accelerometer-measured sedentary behavior and physical activity. Such objective measures should be used in other cohorts to replicate our findings that cannabis use is associated with greater physical activity and not associated with sedentary behavior in order to fully assess the potential public health impact of increases in cannabis use.

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

scholarly journals Relationship Between Sedentary Behavior and the Incidence of Constipation During the COVID-19 Pandemic

2013 ◽  
Vol 9 (2) ◽  
pp. 219-228
Author(s):  
Elvira Sari Dewi ◽  
◽  
Bella Cendie Asteria ◽  
Yulian Wiji Utami
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
International Physical Activity Questionnaire ◽  
Short Form ◽  
Rank Test ◽  
Exclusion Criteria ◽  
Cross Sectional ◽  
Spearman Rank ◽  
The Relationship ◽  
Activity Questionnaire

The COVID-19 pandemic has caused changes in a variety of sectors, including education. Changes in online learning methods during the COVID-19 pandemic can increase the risk of sedentary behavior in students. Sedentary behavior is one of the factors related to constipation. This study aims to determine the relationship between sedentary behavior and the incidence of constipation during the COVID-19 pandemic in students at Universitas Brawijaya. This research is correlation research with a cross-sectional approach. Sampling used total sampling with a sample of 87 students according to the inclusion and exclusion criteria. Sedentary behavior was measured using the International Physical Activity Questionnaire – Short Form (IPAQ-SF) and the incidence of constipation was measured using the Constipation Scoring System (CSS). The correlation between sedentary behavior and the incidence of constipation was statistically analyzed using the Spearman Rank test with alpha=0.05. The results show that As many as 82.8% of students at Universitas Brawijaya have sedentary behavior and 17.2% are constipated. There was a correlation between sedentary behavior and the incidence of constipation (p=0.020; r=+0,249). In conclusion, there is a relationship between sedentary behavior and the incidence of constipation during the COVID-19 pandemic in students at Universitas Brawijaya.

scholarly journals Leading by Example: Association Between Mother and Child Objectively Measured Physical Activity and Sedentary Behavior

2020 ◽  
pp. 1-12
Author(s):  
Brad R. Julius ◽  
Amy M.J. O’Shea ◽  
Shelby L. Francis ◽  
Kathleen F. Janz ◽  
Helena Laroche
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Low Income ◽  
Multivariate Regression ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Mother And Child ◽  
Low Income Mothers ◽  
Objectively Measured ◽  
The Relationship

Purpose: The authors examined the relationship between mother and child activity. Methods: The authors compared moderate–vigorous physical activity (MVPA) and sedentary time of low-income mothers with obesity and their 6- to 12-year-old children on week (WD) and weekend (WE) days. A total of 196 mother–child pairs wore accelerometers simultaneously for a week. Mothers completed questionnaires. Spearman correlation and multivariate regression were used. Results: WE MVPA (accelerometry) was significantly correlated between mothers with children aged 6–7 (rs = .35) and daughters (rs = .27). Self-reported maternal PA time spent with one of their children was significantly correlated with the WE MVPA of all children (rs = .21) and children aged 8–10 (rs = .22) and with the WD MVPA of all children (rs = .15), children aged 8–10 (rs = .23), aged 11–12 (rs = .52), and daughters (rs = .37), and inversely correlated to the WD sedentary time of all children (rs = −.21), children aged 8–10 (rs = −.30), aged 11–12 (rs = −.34), daughters (rs = −.26), and sons (rs = −.22). In multivariate regression, significant associations were identified between reported child–mother PA time together and child MVPA and sedentary time (accelerometry). Conclusions: Mothers may influence the PA levels of their children with the strongest associations found in children aged 6–7 and daughters. Mother–child coparticipation in PA may lead to increased child MVPA and decreased sedentary behavior.

scholarly journals Impact of parents’ physical activity on preschool children’s physical activity: a cross-sectional study

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4405 ◽  
Author(s):  
Chang Xu ◽  
Minghui Quan ◽  
Hanbin Zhang ◽  
Chenglin Zhou ◽  
PeiJie Chen
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Maternal Influence ◽  
Activity Levels ◽  
Cross Sectional ◽  
Physical Activity Levels ◽  
Paternal Influence ◽  
Children’S Physical Activity

Purpose This study examined the associations of physical activity levels between parents and their pre-school children based on gender and weekday/weekend. Method A total of 247 parent-preschool child triads from Shanghai, China were analyzed. The children had a mean age of 57.5 ± 5.2 months. Both sedentary behavior and physical activity were measured in all participants using an ActiGraph GT3X+ accelerometer over seven consecutive days from Monday through the following Sunday. A multivariate regression model was derived to identify significant relationships between parental and child physical activity according to gender and weekday/weekend. Results There was a significant correlation between mothers’ and girls’ moderate-to-vigorous physical activity (MVPA) and total physical activity (TPA) on weekdays. Fathers’ MPVA levels correlated significantly with those of boys and girls, with paternal influence appearing to be stronger than maternal influence. However, there was not a significant correlation between fathers’ and children’s TPA. TPA levels of both mothers and fathers correlated with those of girls, but not with those of boys. Parental sedentary levels on the weekend correlated significantly with girls’ levels, but not with boys’ levels. Children’s physical activity levels on weekends were influenced more by fathers’ activity levels than by mothers’, while the opposite was observed on weekdays. Conclusion Sedentary behavior and physical activity levels of parents can strongly influence those of their preschool children, with maternal influence stronger during the weekdays and paternal influence stronger on the weekends. Parents’ activity levels influence girls’ levels more strongly than they influence boys’ levels.

Exploring Potential Mediation Pathways on the Relationship Between Acculturation and Body Mass Index (BMI) Among Latino Adolescents

2021 ◽  
pp. 154041532110298
Author(s):  
Christopher Johansen ◽  
Kim D. Reynolds ◽  
Bin Xie ◽  
Paula Palmer
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Sedentary Behavior ◽  
Body Mass ◽  
Self Report ◽  
Latino Adolescents ◽  
Future Research ◽  
Public High Schools ◽  
Multiple Mediation ◽  
The Relationship

Background: Positive associations have been observed between acculturation and body mass index (BMI), but the mediators of this relationship are not well established. Acculturation researchers have called for investigating the influence of socio-contextual variables as mediators. The objective of this study was to test the mediating effects of salty snacks, sweet snacks, physical activity, and sedentary behavior on the relationship between acculturation and BMI among Latino adolescents. Methods: Adolescents who self-identified as Latino ( n = 431) at public high schools in Southern California were recruited and completed a self-report survey. A bootstrapped multiple mediation model was used to test mediation pathways. Results: Acculturation was positively associated with physical activity ( B = 0.09, p < .05). The indirect effects of salty snacks, sweet snacks, physical activity, and sedentary behavior were not associated with BMI, suggesting no mediation. Conclusions: Future research should examine additional mediating variables on the relationship between acculturation and BMI.

The Relationship between Physical Activity, Sedentary Behavior and Intention to Quit Smoking in Adult Smokers

2018 ◽  
Vol 8 (5) ◽  
pp. 735-740
Author(s):  
Nojin Lee ◽  
Seokhan Lee ◽  
Semi Park ◽  
Kyung Hwan Cho ◽  
Yang Hyun Kim ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Intention To Quit ◽  
Quit Smoking ◽  
The Relationship
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