Dataset Information

Informing Behaviour Change: What Sedentary Behaviours Do Families Perform at Home and How Can They Be Targeted?

ABSTRACT: Home-based interventions targeting children's sedentary behaviours have had limited and inconsistent effectiveness, possibly due to a mismatch between the behaviours targeted, the behaviours actually performed, and health-risk messages parents need to initiate change. Between October 2017-February 2018, 540 parents completed an online survey indicating their own and their child's participation in 15 home-based sedentary behaviours (child mean age 11.1 ± 2.61 years, 52% male; parent mean age 40.7 ± 6.14, 93% female). Parents also indicated which home-based sedentary behaviours they and their child could reduce, and what health-risk messages would make them change their child's behaviours. The most prevalent sedentary behaviours among children (particularly older children) and parents were screen-based leisure-time activities, specifically TV/video/DVD use (67.5 and 62.5 min/day, respectively) and using a tablet/smart phone for leisure (53.6 and 80.8 min/day, respectively). Importantly, these were also perceived as the most feasible behaviours parents and children could reduce. Parents reported that the following messages would help them reduce their child's sedentary behaviour: sitting may increase the risk of poor mental health (85.2% of parents) and adversely impact future health as an adult (85.1%). These findings highlight feasible behavioural targets and intervention content for programs aiming to reduce sedentary behaviours in the home environment. Further research is needed to test these strategies.

SUBMITTER: Arundell L

PROVIDER: S-EPMC6888231 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Informing Behaviour Change: What Sedentary Behaviours Do Families Perform at Home and How Can They Be Targeted?

Arundell Lauren L Parker Kate K Salmon Jo J Veitch Jenny J Timperio Anna A

International journal of environmental research and public health 20191118 22

Home-based interventions targeting children's sedentary behaviours have had limited and inconsistent effectiveness, possibly due to a mismatch between the behaviours targeted, the behaviours actually performed, and health-risk messages parents need to initiate change. Between October 2017-February 2018, 540 parents completed an online survey indicating their own and their child's participation in 15 home-based sedentary behaviours (child mean age 11.1 ± 2.61 years, 52% male; parent mean age 40.7 ...[more]

PMID: 31752203

Similar Datasets

Project description:IntroductionScarce evidence is available about the minimum number of valid days wearing the activPAL3 to obtain a precise estimate of sedentary behaviour (SB) and awake-time movement behaviours (ATMB) in nursing home (NH) residents. The study aimed to determine the minimum number of valid days required for accurately estimate SB and ATMB using the activPAL3 device in NH residents. It also investigated how the starting point of a day (the 24-h period) impacted reliability.MethodsParticipants wore an activPAL3 for 7 consecutive days. The data was classified in two-time blocks (00:00 Ante Meridiem (AM)-00:00 AM midnight vs 12:00 Post Meridiam (PM) -12:00 PM midday) and the sample was stratified into two groups according to their capacity to stand and walk, to examine if timing of sampling or physical functioning affected minimum wear time. SB, ATMB, sociodemographic, and health-related variables were collected. Sensitivity of the time-blocks were tested through the dispersion frequencies and differences between blocks through Kolmogorov-Smirnov test for normality; parametric variables through two-related means T-test and Wilcoxon test for non-parametric data. Reliability was assessed with the Cronbach's Alpha and the intra-class correlation coefficient (ICC), using a one-factor model estimating the reliability for each measurement day loading in the same latent factor.ResultsNinety-five NH residents (81.1% women; age = 85.8 ± 7.2 years) were included. The midnight block had higher reliability, sensitivity and no statistically significant differences between days were found. At least three consecutive days of monitoring were necessary to achieve a reliability of ICC ≥ 0.8 for those NH residents able to stand and walk and six days for those unable.ConclusionsNH residents who are able to stand and walk require a minimum of three consecutive days wearing the device, while those who are unable require at least six days due to their highly homogenous daily routines and sensitivity to PA events. Regardless of the activPAL3 recording start time, data processing should reference the midnight time block.

Project description:BackgroundRegistered dietitians working in team-based primary care settings (e.g., family health teams [FHTs]) are positioned to counsel on physical activity and sedentary behaviour when providing nutrition-related services to promote health and prevent disease. This qualitative study explored FHT registered dietitians' beliefs and behaviours related to counselling patients on physical activity and sedentary behaviour.MethodsTwenty registered dietitians in FHTs in Ontario, Canada were interviewed in person. Theory of planned behaviour guided the development of this cross-sectional, descriptive study. Thematic analysis was used to identify themes within each of the following theoretical constructs (topics): registered dietitians' behaviour (practice), behavioural intention, attitude, subjective norm, and perceived behavioural control related to physical activity and sedentary behaviour counselling.ResultsAll participants counselled patients on physical activity, using some motivational interviewing strategies, and most counselled on sedentary behaviour. Many participants intended to continue their current physical activity counselling practices and increase sedentary behaviour counselling. Some participants had a positive attitude about the effectiveness of counselling on physical activity and sedentary behaviour, but their belief about effectiveness was dependent on factors such as time frame for behaviour change. Many participants felt that other health care professionals expected them to counsel on physical activity and they believed that other registered dietitians counsel on physical activity and sedentary behaviour. Facilitators to counselling included FHT dynamics and time with patients. In terms of barriers, almost all participants were confident in basic PA counselling only and contended that only this is within their scope of practice. Many participants posited that exercise prescription is outside their scope of practice. Other barriers included registered dietitians' lack of knowledge and not having a physical activity expert on the team.ConclusionsThe results suggest that strategies are warranted to improve FHT registered dietitians' knowledge, attitude, and counselling skills related to physical activity and sedentary behaviour. This study provides a strong foundation to develop a theory-based, quantitative measure to assess physical activity and sedentary behaviour counselling practices and determinants among registered dietitians.

Project description:BackgroundSmartphone apps are increasingly used to deliver physical activity and sedentary behaviour interventions for people with cardiovascular disease. However, the active components of these interventions which aim to change behaviours are unclear.AimsTo identify behaviour change techniques used in smartphone app interventions for improving physical activity and sedentary behaviour in people with cardiovascular disease. Secondly, to investigate the association of the identified techniques on improving these behaviours.MethodsSix databases (Medline, CINAHL Plus, Cochrane Library, SCOPUS, Sports Discus, EMBASE) were searched from 2007 to October 2020. Eligible studies used a smartphone app intervention for people with cardiovascular disease and reported a physical activity and/or sedentary behaviour outcome. The behaviour change techniques used within the apps for physical activity and/or sedentary behaviour were coded using the Behaviour Change Technique Taxonomy (v1). The association of behaviour change techniques on physical activity outcomes were explored through meta-regression.ResultsForty behaviour change techniques were identified across the 19 included app-based interventions. Only two studies reported the behaviour change techniques used to target sedentary behaviour change. The most frequently used techniques for sedentary behaviour and physical activity were habit reversal and self-monitoring of behaviour respectively. In univariable analyses, action planning (β =0.42, 90%CrI 0.07-0.78) and graded tasks (β =0.33, 90%CrI -0.04-0.67) each had medium positive associations with increasing physical activity. Participants in interventions that used either self-monitoring outcome(s) of behaviour (i.e. outcomes other than physical activity) (β = - 0.47, 90%CrI -0.79--0.16), biofeedback (β = - 0.47, 90%CrI -0.81--0.15) and information about health consequences (β = - 0.42, 90%CrI -0.74--0.07) as behaviour change techniques, appeared to do less physical activity. In the multivariable model, these predictors were not clearly removed from zero.ConclusionThe behaviour change techniques action planning and graded tasks are good candidates for causal testing in future experimental smartphone app designs.

Project description:BackgroundStroke survivors are highly sedentary; thus, breaking up long uninterrupted bouts of sedentary behaviour could have substantial health benefit. However, there are no intervention strategies specifically aimed at reducing sedentary behaviour tailored for stroke survivors. The purpose of this study was to use co-production approaches to develop an intervention to reduce sedentary behaviour after stroke.MethodsA series of five co-production workshops with stroke survivors, their caregivers, stroke service staff, exercise professionals, and researchers were conducted in parallel in two-stroke services (England and Scotland). Workshop format was informed by the behaviour change wheel (BCW) framework for developing interventions and incorporated systematic review and empirical evidence. Taking an iterative approach, data from activities and audio recordings were analysed following each workshop and findings used to inform subsequent workshops, to inform both the activities of the next workshop and ongoing intervention development.FindingsCo-production workshop participants (n = 43) included 17 staff, 14 stroke survivors, six caregivers and six researchers. The target behaviour for stroke survivors is to increase standing and moving, and the target behaviour for caregivers and staff is to support and encourage stroke survivors to increase standing and moving. The developed intervention is primarily based on co-produced solutions to barriers to achieving the target behaviour. The developed intervention includes 34 behaviour change techniques. The intervention is to be delivered through stroke services, commencing in the inpatient setting and following through discharge into the community. Participants reported that taking part in intervention development was a positive experience.ConclusionsTo our knowledge, this is the first study that has combined the use of co-production and the BCW to develop an intervention for use in stroke care. In-depth reporting of how a co-production approach was combined with the BCW framework, including the design of bespoke materials for workshop activities, should prove useful to other researchers and practitioners involved in intervention development in stroke.

Dataset Information

Informing Behaviour Change: What Sedentary Behaviours Do Families Perform at Home and How Can They Be Targeted?

Publications

Informing Behaviour Change: What Sedentary Behaviours Do Families Perform at Home and How Can They Be Targeted?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets