The Relationship between Cell Phone Use, Physical Activity, and Sedentary Behavior in Adults Aged 18-80

Objective “Active couch potato” describes an individual who is sufficiently physically active yet highly sedentary. Cell phones promote activities understood as sedentary behaviors (e.g. watching videos). Research demonstrates that cell phone use is positively associated with sedentary behavior. Although sedentary behavior typically displaces physical activity, no relationship between cell phone use and physical activity has been found. Thus, it is possible that some sufficiently active individuals are also high-frequency cell phone users and therefore highly sedentary. In other words, cell phone use may predict being an “active couch potato” among active people. Testing this hypothesis was the purpose of this study. “Active couch potatoes” are of concern as the negative effects of excessive sedentary behavior are independent of the benefits of physical activity. Methods College students (228) completed validated surveys assessing physical activity, sedentary behavior, and cell phone use. Using a previously validated method, participants were rated as sufficiently active or not based upon their physical activity survey score. Participants who were not sufficiently active were excluded from further analysis resulting in a final sample of 171. These sufficiently active individuals were categorized as “active couch potatoes” if they were also highly sedentary (i.e. sitting for eight or more hours/day). Logistic regression determined if cell phone use predicted being categorized as an “active couch potato.” Results Cell phone use was a significant, positive predictor of being an “active couch potato.” With each additional hour of daily cell phone use, the odds of becoming an “active couch potato” increased by 11.4% (Wald = 5.934, P = 0.015, Exp(B) = 1.114). On average, active couch potatoes used their cell phone 1.7 hours more each day than their sufficiently active but not overly sedentary peers. Conclusion Increased cell phone use was a significant predictor of being an “active couch potato.” Explanations and implications are discussed.

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

Harm Reduction Journal ◽

10.1186/s12954-021-00496-2 ◽

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.

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

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.641 ◽

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

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

Jurnal Ilmu Keperawatan (Journal of Nursing Science) ◽

10.21776/ub.jik.2021.009.02.10 ◽

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.

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Cell Phone Related Violations and Motorcycle Accidents: A Bayesian Approach

Operational Research in Engineering Sciences Theory and Applications ◽

10.31181/oresta091221107a ◽

2021 ◽

Vol 4 (3) ◽

pp. 107-121

Author(s):

Biranchi Adhikari ◽

◽

Ajay Behera ◽

Rabindra Mahapatra ◽

Harish Das ◽

...

Keyword(s):

Cell Phone ◽

Path Model ◽

Near Miss ◽

Human Errors ◽

Web Based ◽

Cell Phone Use ◽

Measuring Cell ◽

Motorcycle Accidents ◽

Age Range ◽

The Relationship

The effects of cell phone use on motorcycle riders’ behaviour are studied in smart city, Bhubaneswar, capital of state odisha, India. Most of motorcycle riders confess using cell phone devices while driving. Moreover, relationship between near miss and accidents has been found with the use of cell phone, reflecting a risk factor for motorcycle riders.“ This study examines the relationship between such type of behaviours, comprising calling and manipulating the screen, and the frequency of near miss and actual accidents among motorcycle riders. We conducted a web based survey measuring cell phone-specific violations, human errors, near miss and accident to motorcycle riders (N=289; age range; 18-60). We hypothesized that the relationship between cell phone use and near miss would be explained by an increase in the number of human errors committed, thus increasing the likelihood of being involved in near miss. Moreover, we hypothesized that near miss will predict actual accidents. Outcomes of path analysis showed that cell phone-specific violations predicted accidents throughout their consecutive effects on human errors and near miss only in the subsample of men. These findings offer an explanation of how cell phone use contributes to increase the likelihood of getting involved in near miss and actual accidents. The current study builds a path model explaining how cell phone-specific violations lead to more near miss among motorcycle riders.

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

Pediatric Exercise Science ◽

10.1123/pes.2020-0058 ◽

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.

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

Hispanic Health Care International ◽

10.1177/15404153211029893 ◽

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.

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