Determinants Of Sedentary Behaviour Research Articles

Determinanten für ein günstiges Sitzund Bewegungsverhalten in der Präsenzarbeit im Büro und im Homeoffice

Determinants of favourable sitting and movement behaviour when working in the office and at home – results of an interview study (SITFLEX-2) Objective: Office workers spend about 70 % of their working time seated. Sitting for more than 8h per day is associated with health problems such as hypertension and type II diabetes mellitus. This study aims to reveal what office workers, in interview, consider to be the facilitators and barriers to breaking up sitting time in the office and when working remotely, and to make recommendations based on their insights. Methods: Qualitative semi-structured interviews were conducted with 25 employees performing sedentary work in an international company. The analysis was carried out using Mayring’s content analysis on the basis of the COM-B model of behaviour (Capability, Opportunity, Motivation, and Behaviour). The modified model of possible determinants of sedentary behaviour in the work context was used to identify preliminary guidance for enabling healthier sedentary behaviour at work. Results: The interviews indicate that awareness of the importance of sitting breaks and movement, and their association with health, was a prerequisite for promoting healthy behaviour. In addition to spatial and social incentives, work task organisation that allows employees to take a break from sitting is perceived as beneficial. Spatial and social incentives are often particularly lacking when working from home. Regardless of the working environment, a work culture that supports and encourages sitting breaks and movement is important. There are several barriers to this. Sitting at a desk for long periods of time, for instance, is perceived to be associated with higher productivity, while time pressure masks physical sensations so that sitting breaks are often forgotten. Conclusions: Due to the increasing prevalence of working from home, there is a clear need for appropriate procedures and a working culture that promote breaks from sitting and movement during remote work. Keywords: sedentary behaviour – sitting interruptions – movement promotion – qualitative research – interviews

Social Experiences, Social Support and Residence as Determinants of Sedentary Behaviour Among Indigenous Adults in Saskatchewan

Centuries of ongoing colonization, assimilation and historic trauma have changed social structures, roles and responsibilities among Indigenous Peoples: First Nations, Métis and Inuit. Social factors and experiences can influence sedentary behaviour; however, relationships between social determinants and sedentary behaviour among Indigenous Peoples in Saskatchewan are unclear. Objective: The purpose of this study is to examine historic trauma, social support and residence as determinants of sedentary behaviour for Indigenous Peoples in Saskatchewan. Design: Historic trauma, social support, discriminatory experiences, residence type and sedentary behaviour were evaluated through questionnaires by 111 Indigenous adults from the University of Saskatchewan in 2018-2019. Results: Regression associated community, family and positive perceptions of social support, as well as rural/urban home communities, northern/southern home communities and age with continuous sitting among Métis (N=38, R=0.88, p<0.001). Among First Nations (N=69), regression associated age and friend support (R=0.40, p=0.01) with screen time, and community support (R=0.27, p=0.04) with continuous sitting. Regression among Indigenous participants (N=111) associated discrimination, on- and off-reserve home communities, and age (R=0.40, p=0.001) with sedentary behaviour, and discrimination and positive perceptions of support (R=0.33, p=0.01) with continuous sitting. Conclusion: Social supports, home communities and discrimination experiences are important determinants of sedentary behaviour, screen time and continuous sitting for First Nations and Métis, with experiences specific to each identity.

Determinants of sedentary behavior in community-dwelling older adults with type 2 diabetes based on the behavioral change wheel: a path analysis

BackgroundSedentary behavior (SB) is deeply ingrained in the daily lives of community-dwelling older adults with type 2 diabetes mellitus (T2DM). However, the specific underlying mechanisms of the determinants associated with SB remain elusive. We aimed to explore the determinants of SB based on the behavior change wheel framework as well as a literature review.MethodsThis cross-sectional study recruited 489 community-dwelling older adults with T2DM in Jinan City, Shandong Province, China. Convenience sampling was used to select participants from relevant communities. This study used the Measure of Older Adults’ Sedentary Time-T2DM, the Abbreviated-Neighborhood Environment Walkability Scale, the Social Support Rating Scale, the Lubben Social Network Scale 6, the Subjective Social Norms Questionnaire for Sedentary Behavior, the Functional Activities Questionnaire, the Numerical Rating Scale, the Short Physical Performance Battery, and the Montreal Cognitive Assessment Text to assess the levels of and the determinants of SB. Descriptive statistical analysis and path analysis were conducted to analyze and interpret the data.ResultsPain, cognitive function, social isolation, and social support had direct and indirect effects on SB in community-dwelling older adults with T2DM (total effects: β = 0.426, β = -0.171, β = -0.209, and β = -0.128, respectively), and physical function, walking environment, and social function had direct effects on patients’ SB (total effects: β = -0.180, β = -0.163, and β = 0.127, respectively). All the above pathways were statistically significant (P < 0.05). The path analysis showed that the model had acceptable fit indices: RMSEA = 0.014, χ 2/df = 1.100, GFI = 0.999, AGFI = 0.980, NFI = 0.997, RFI = 0.954, IFI = 1.000, TLI = 0.996, CFI = 1.000.ConclusionCapability (physical function, pain, and cognitive function), opportunity (social isolation, walking environment, and social support), and motivation (social function) were effective predictors of SB in community-dwelling older adults with T2DM. Deeper knowledge regarding these associations may help healthcare providers design targeted intervention strategies to decrease levels of SB in this specific population.

Identifying risk profiles for excess sedentary behaviour in youth using individual, family and neighbourhood characteristics

There are few known determinants of sedentary behaviour (SB) in children. We generated and compared profiles associated with risk of excess SB among children (n = 294) both at 8–10 and 10–12 years of age (Visits 1 and 2, respectively), using data from the QUebec Adipose and Lifestyle InvesTigation in Youth. Excess SB was measured by accelerometry and defined as >50% of total wear time at <100 counts/minutes. Recursive partitioning analyses were performed with candidate individual-, family-, and neighbourhood-level factors assessed at Visit 1, and distinct groups at varying risk of excess SB were identified for both timepoints. From the ages of 8–10 to 10–12 years, the prevalence of excess SB more than doubled (24.5% to 57.1%). At Visit 1, excess SB was greatest (73%) among children simultaneously not meeting physical activity guidelines, reporting >2 h/day of weekday non-academic screen time, living in low-dwelling density neighbourhoods, having poor park access, and living in neighbourhoods with greater disadvantage. At Visit 2, the high-risk group (70%) was described by children simultaneously not meeting physical activity guidelines, reporting >2 h/day of non-academic screen time on weekends, and living in neighbourhoods with low disadvantage. Risk factors related to individual lifestyle behaviours are generally consistent, and neighbourhood factors generally inconsistent, as children age from late childhood to pre-adolescence. Multiple factors from developmental, behavioural and contextual domains increase risk for excess sedentary behaviour; these warrant consideration to devise effective prevention or management strategies.

Relationship Between Pain and Sedentary Behavior in Rheumatoid Arthritis Patients: A Cross-Sectional Study.

Despite the known benefits of physical activity, high numbers of individuals with rheumatoid arthritis (RA) remain physically inactive and sedentary. Little is known about the determinants of sedentary behavior (SB) in RA. This cross-sectional study was undertaken to examine a range of pain characteristics and RA-related symptoms and their relationship with objectively measured SB. In total, 76 adults with RA wore an activPAL4 accelerometer (PAL Technologies) over a 7-day period. Pain characteristics (pain intensity, painful joint count, nonarticular pain), fatigue, sleep, depression, anxiety, and disease activity were assessed. Analyses were first conducted to evaluate correlations with sedentary time. The independent contribution of pain characteristics to variation in SB was analyzed with multivariable linear regression (adjusted for demographic data and disease activity). Participants with valid accelerometer data (n = 72) spent a mean ± SD of 533.7 ± 100.1 minutes/day in SB. Positive associations with daily SB were found for pain intensity (r = 0.31, P < 0.01) and number of painful joints (r = 0.24, P < 0.05) but not nonarticular pain. In multivariable analyses, pain characteristics were not independently associated with SB. Analyses indicated that disease activity had an indirect association with SB mediated by pain intensity. Other correlates of daily SB included anxiety and depression but not fatigue or sleep. Results suggest that while pain and other RA-related factors do play a role in SB, they do not appear to have a significant influence after accounting for other variables. Future research should investigate SB and the role of factors unrelated to the symptoms of RA.

Sedentary behaviour research in adults: A scoping review of systematic reviews and meta-analyses

ABSTRACT Sedentary behaviour research is rapidly growing. Scoping reviews are important to inform policy and practice.The aim of this scoping a review was to map the available evidence from systematic reviews and meta-analyses of sedentary behaviour research on adults (≥18 years), within the phases of the behavioural epidemiology framework, and to identify bibliometric parameters of studies included in this review. Nine bibliographic databases were searched. Studies were screened and relevant information (e.g., general information, inclusion criteria, findings and reporting quality) was extracted independently by two authors. In total, 108 systematic reviews and/or meta-analyses of sedentary behaviour research in adults (≥18 years) were included. Most papers (91.7%) were published between 2010 and 2020. Studies on the relationship of sedentary behaviour with health (53.7%) and interventions to reduce sedentary behaviour (25.9%) were most common. Forty-five (41.7%) studies reported quality assessment with categorization, and 887 out of 1268 (70%) included primary studies were categorized having moderate-to-high quality. Sedentary behaviour research on adults (≥18 years) has grown exponentially in the last decade and demonstrates strength in several stages of the behavioural epidemiology framework. However, more research should focus on the measurement, prevalence/epidemiology and determinants of sedentary behaviour, to better inform policy development.

Personal and Environmental Contributors to Sedentary Behavior of Older Adults in Independent and Assisted Living Facilities.

Sedentary behavior is associated with negative health outcomes and unhealthy aging. Older adults are the most sedentary age group, and decreasing sitting time represents an intervention target for improving health. Determinants of sedentary behavior have been examined in older adults living in their own homes, yet less is known about sedentary behavior of older adults in residential care facilities. The purpose of this study was to explore factors contributing to sedentary behavior among residents of independent and assisted living facilities. We conducted eight focus groups with residents (n = 44) and semi-structured interviews with staff (n = 6) across four living facilities. Audio recordings were transcribed and analyzed using an iterative, inductive approach. Three salient themes were identified. Residents and staff both viewed sedentary behavior negatively unless it was in the context of social engagement. Additionally, fear of falling was discussed as a significant contributor to sedentary behavior. Finally, residents felt the community living environment contributed to their sedentary behavior while staff did not. Our findings provide valuable insight for designing targeted interventions for older adults in residential facilities and suggest thinking beyond the individual and considering environmental influences on sedentary behavior in the residential care setting.

Determinants of Sedentary Behaviour in Individuals with COPD: A Qualitative Exploration Guided by the Theoretical Domains Framework

In people with chronic obstructive pulmonary disease (COPD), there is increasing recognition that the prolonged accumulation of sedentary time (ST) is associated with adverse cardio-metabolic health outcomes. Nevertheless, changing this lifestyle, which has evolved over several decades, is likely to be challenging. This study reports the determinants, perceived by individuals with COPD, as being important for reducing ST. An in-depth understanding of this information is essential when planning an intervention to reduce ST. Fourteen individuals with COPD completed semi-structured one-on-one interviews, which were audio recorded and transcribed verbatim. Both the interview schedule and mapping of data items extracted from the interview transcripts were informed by the Theoretical Domains Framework (TDF). A total of 867 quotes were mapped to the 14 TDF domains. Seven of the fourteen domains were identified as being important determinants for reducing ST: knowledge, beliefs about consequences, beliefs about capabilities, environmental context and resources, social influences, social/professional role and identity, and behavioural regulation. There was a lack of knowledge regarding the meaning of sedentary behaviour. Participants’ desire to be educated by knowledgeable health professionals in a formal programme was a dominant theme across multiple domains. The most frequently reported barriers to reducing ST related to the domains of social/professional role and identity and environmental context and resources, while the most frequently reported enablers were related to the domains pertaining to beliefs about consequences and social influences. Potential strategies to reduce ST among people with COPD include education and other determinants identified in this research.

Why Do Children Engage in Sedentary Behavior? Child- and Parent-Perceived Determinants.

Todays children spend a large amount of their time sedentary. There is limited evidence on the determinants of sedentary behavior in children, and qualitative studies are especially lacking. Therefore, this study aimed to explore determinants of children’s sedentary behavior from the child- and parent perspective. Qualitative data were collected during concept mapping sessions with four groups of 11–13 years old children (n = 38) and two online sessions with parents (n = 21). Children and parents generated sedentary behavior motives, sorted related motives, and rated their importance in influencing children’s sedentary time. Next, multidimensional scaling and hierarchical cluster analysis was performed to create clusters of motives resulting in a concept map. Finally, the researchers named the clusters in the concept map. Concept maps of children yielded eight to ten perceived determinants, and concept maps of parents six to seven. Children and parents identified six similar potential determinants, and both rated as important: Sitting because… “it is the norm (I have to)”, and “I can work/play better that way”. In addition, children rated “there is nobody to play with” as an important potential determinant for engaging in sedentary behavior. The most important child- and parent perceived determinants were related to the social/cultural and physical environment, indicating that these are promising targets for future interventions.

A mobile system for sedentary behaviors classification based on accelerometer and location data

BackgroundSedentary behaviors are associated to the development of noncommunicable diseases (NCD) such as cardiovascular diseases (CVD), type 2 diabetes, and cancer. Accelerometers and inclinometers have been used to estimate sedentary behaviors, however a major limitation is that these devices do not provide enough contextual information in order to recognize the specific sedentary behavior performed, e.g., sitting or lying watching TV, using the PC, sitting at work, driving, etc. ObjectivePropose and evaluate the precision of a mobile system for objectively measuring six sedentary behaviors using accelerometer and location data. ResultsThe system is implemented as an Android Mobile App, which identifies individual’s sedentary behaviors based on accelerometer data taken from the smartphone or a smartwatch, and symbolic location data obtained from Bluetooth Low Energy (BLE) beacons. The system infers sedentary behaviors by means of a supervised Machine Learning Classifier. The precision of the classification of five of the six studied sedentary behaviors exceeded 95% using accelerometer data from a smartwatch attached to the wrist and 98% using accelerometer data from a smartphone put into the pocket. Statistically significant improvement in the average precision of the classification due to the use of BLE beacons was found by comparing the precision of the classification using accelerometer data only, and BLE beacons localization technology. ConclusionsThe proposed system provides contextual information of specific sedentary behaviors by inferring with very high precision the physical location where the sedentary event occurs. Moreover, it was found that, when accelerometers are put in the user’s pocket, instead of the wrist and, when symbolic location is inferred using BLE beacons; the precision in the classification is improved. In practice, the proposed system has the potential to contribute to the understanding of the context and determinants of sedentary behaviors, necessary for the implementation and monitoring of personalized noncommunicable diseases prevention programs, for instance, sending sedentary behavior alerts, or providing personalized recommendations on physical activity. The system could be used at work to promote active breaks and healthy habits.

The utility of a protection motivation theory framework for understanding sedentary behavior

ABSTRACTMultilevel determinants of sedentary behavior (SB), including constructs couched within evidence-based psychological frameworks, can contribute to more efficacious interventions designed to decrease sitting time. This study aimed to: (1) examine the factor structure and composition of sedentary-derived protection motivation theory (PMT) constructs and (2) determine the utility of these constructs in predicting general and leisure sedentary goal intention (GI), implementation intention (II), and self-reported SB. Sedentary-derived PMT (perceived severity, PS; perceived vulnerability, PV; response efficacy, RE; self-efficacy, SE), GI, and II constructs, and a modified SB questionnaire were completed by undergraduate students (n = 596). SE was broken into three psychological (productive, focused, tired), and two situational (studying, leisure) constructs to capture the main barriers to reducing sitting time. After completing socio-demographics and the PMT items, participants were randomized to complete general or leisure GI and II. Based on model assignment, they completed either the general or leisure SB questionnaire one week later. Irrespective of model, exploratory followed by confirmatory factor analysis revealed that the PMT items grouped into eight coherent and interpretable factors consistent with the theory's threat and coping appraisal tenets: PV, PS, RE, and five scheduling SE constructs (tired, productive/focused, TV/video games/computer, studying at home, studying in library/Wi-Fi area). Using linear regression, general and leisure models predicted 5% and 1% of the variance in GI, 10% and 16% of the variance in II, and 3% and 1% of the variance in SB, respectively. Variables that made unique and significant contributions were: RE (general) and SE (leisure) for goal intention; PV and RE (general), PV, RE, and SE (leisure) for implementation intention; and only goal intention (leisure) for SB. Support now exists for the tenability of an eight-factor PMT sedentary model and its utility in predicting II and to a lesser extent GI and behavior.

Determinants of engaging in sedentary behavior across the lifespan; lessons learned from two systematic reviews conducted within DEDIPAC.

The present commentary provides a brief overview of and reflections on the joint findings of two reviews of the present evidence regarding correlates, predictors and/or determinants of sedentary behavior among youth and older adults published in the International Journal of Behavioral Nutrition & Physical Activity.In both reviews, the included studies were predominantly conducted in Europe, the US, and Australia. Most studies were limited to TV or ‘screen’ time rather than sedentary behavior and relied on self-report. In both age groups there is a lack of qualitative studies as well as studies looking into the more motivational and contextual potential determinants of sedentary behavior. Both reviews indicate that to date there is limited evidence on the determinants of sedentary behaviour in youth and older adults. In youth, age and weight status were identified as determinants of sedentary behavior, with more sedentary time among older and heavier kids. In adults, age and retirement were determinants, with older and retired elderly sitting more.

Individual, social and physical environmental correlates of sedentary behaviours in adults: a systematic review protocol.

BackgroundAdults spend the majority of their time being sedentary, and evidence suggests that those who spend more of their day engaged in sedentary activities (TV viewing, sitting, screen-based activities) are at increased risk for morbidity and mortality, regardless of whether they exercise regularly. In order to develop effective interventions to reduce sedentary time, it is necessary to identify and understand the strongest modifiable factors of these behaviours. Therefore, the objective of this systematic review is to examine the available evidence in order to identify individual, social, environmental and policy correlates and determinants of sedentary behaviours (TV time, sitting time, screen time) and total sedentary time among adults.Methods/designSix electronic databases will be searched to identify all studies that report on individual, social and/or environmental correlates and determinants of sedentary behaviours and total sedentary time in adults. Grey literature sources including theses, published conference abstracts and websites from relevant organizations will also be included. Articles that report on modifiable individual (e.g. health behaviours and status, self-efficacy, socio-economic status), social (e.g. crime, safety, social support, climate and capital), environmental (e.g. weather, workplace, home, neighbourhood, recreation environment, transportation environment) and policy correlates and determinants (based on study design) of sedentary behaviours in an adult population (mean age ≥18 years) will be included. Study quality and risk of bias will be assessed within and across all included studies. Harvest plots will be used to synthesize results across all correlates, and meta-analyses will be conducted where possible among studies with sufficient homogeneity.DiscussionThis review will provide a comprehensive examination of evidence in the field and will serve to highlight gaps for future research on the determinants of sedentary behaviours and inform intervention design.Systematic review registrationPROSPERO CRD42014009814

What is Sedentary Behavior? Parents’ Perceptions and Key Determinants of Sedentary Behavior in Young Children

What is Sedentary Behavior? Parents’ Perceptions and Key Determinants of Sedentary Behavior in Young Children

Advancing the Science of Sedentary Behavior Measurement

Until recently, the health risks associated with a sedentary lifestyle were thought to be a result of insufficient moderate- to vigorous-intensity physical activity (MVPA), leading many to inaccurately assume that sedentary behavior and MVPA were opposite ends of the same continuum. 1 DHHSPhysical activity and health: a report of the Surgeon General. DHHS, CDC, National Center for Chronic Disease Prevention and Health Promotion, Atlanta GA1996 Google Scholar This assumption was first challenged by Owen and colleagues 2 Owen N. Leslie E. Salmon J. Fotheringham M.J. Environmental determinants of physical activity and sedentary behaviour. Exerc Sport Sci Rev. 2000; 28: 165-170 PubMed Google Scholar who reported that the determinants of sedentary behavior and physical activity might be distinct. Over the past 10 years, more than 350 articles have been published that have measured or conceptualized sedentary behavior as a concept distinct from physical activity, and there is now widespread conceptual and empirical support that the two exert independent and interdependent influences on health. 3 Biddle S.J. Sedentary behavior. Am J Prev Med. 2007; 33: 502-504 Abstract Full Text Full Text PDF PubMed Scopus (67) Google Scholar , 4 Marshall S.J. Ramirez E. Reducing sedentary behavior: a new paradigm for physical activity promotion. Am J Lifestyle Med. 2011; 5: 518-530 Crossref Scopus (105) Google Scholar , 5 Owen N. Sparling P.B. Healy G.N. Dunstan D.W. Matthews C.E. Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc. 2010; 85: 1138-1141 Abstract Full Text Full Text PDF PubMed Scopus (504) Google Scholar , 6 Pate R. O'Neill J.R. Lobelo F. The evolving definition of “sedentary.”. Exerc Sport Sci Rev. 2008; 36: 171-172 Crossref PubMed Scopus (803) Google Scholar Commuting by Car: Weight Gain Among Physically Active AdultsAmerican Journal of Preventive MedicineVol. 44Issue 2PreviewProlonged sitting, including time spent sitting in cars, is detrimentally associated with health outcomes. Full-Text PDF Sitting Behavior and Obesity: Evidence from the Whitehall II StudyAmerican Journal of Preventive MedicineVol. 44Issue 2PreviewProspective studies report associations between indicators of time spent sitting and obesity risk. Most studies use a single indicator of sedentary behavior and are unable to clearly identify whether sedentary behavior is a cause or a consequence of obesity. Full-Text PDF Open Access

Familial determinants of sedentary behaviour in children 5 to 18 years from Colombia*

Familial determinants of sedentary behaviour in children 5 to 18 years from Colombia*

Physical Activity and Determinants of Sedentary Behavior in Brazilian Adolescents from an Underdeveloped Region

The purpose of the study was to analyze the physical activity and the determinants of sedentary behavior in 1,268 Brazilian adolescents (638 girls, 630 boys) between the ages of 15 and 18 years, randomly selected from a relatively underdeveloped region. Data were collected from a community-based survey in the city of João Pessoa, Paraiba, Brazil. Information related to physical activity was derived on the short version of the International Physical Activity Questionnaire. The prevalence of sedentary behavior was 28.2% for girls and 19.1% for boys, whilst 28.9% of the girls and 36.7% of the boys showed high physical activity. The sedentary behavior varied by sociodemographic and environmental determinants studied. Parents' education, socioeconomic status, school's characteristics, transport to school, paid work, smoking, alcohol use, and BMI scores were significantly related to sedentary behavior for boys and girls.

Evidence of Health Risks from Occupational Sitting: Where Do We Stand?

Evidence of Health Risks from Occupational Sitting: Where Do We Stand?

Tackling the obesity pandemic: a call for sedentary behaviour research.

An emerging threat to public health is seen in the dramatic rise in obesity status of Canadians, especially among young people. In addressing the possible factors responsible for these dramatic increases, this paper outlines the importance of understanding sedentariness as an important health behaviour, distinct from physical activity, and identifying the modifiable determinants of sedentary behaviours.