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Background To combat the high prevalence of physical inactivity among children, there is an urgent need to develop and implement real-world interventions and policies that promote physical activity (PA) and reduce sedentary behaviour (SB). To inform policy makers, the current body of evidence for children’s PA/SB interventions needs to be translated. Objectives The current systematic review and meta-analysis aimed to identify modifiable determinants of device-measured PA and SB targeted in available intervention studies with randomized controlled trial (RCT) and controlled trial (CT) designs in children and early adolescents (5–12 years) and to quantify the effects of the interventions within their respective settings on the determinants of PA/SB and the outcomes PA and SB. Methods A systematic search was conducted in MEDLINE, PsycINFO, Web of Science, SPORTDiscus and CENTRAL. Studies were considered if they were randomized controlled trials (RCTs) or controlled trials (CTs), included children and/or early adolescents (5–12 years; henceforth termed children), measured PA and/or SB using device-based methods and measured PA and/or SB and determinants of PA/SB at least at two timepoints. Risk of bias was assessed using the Cochrane Risk of Bias Tool for Randomised Trials (RoB2) for RCTs and Risk of Bias in Non-randomised Studies of Interventions (ROBINS-I) for CTs. The quality of the generated evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation (GRADE). Robust Bayesian meta-analysis was conducted to quantify the effects of the interventions on the determinants of PA/SB, and the outcomes PA and SB, stratifying by study design, duration of PA/SB measurement, intervention setting and duration of follow-up measurement. Study characteristics and interventions were summarized. Results Thirty-eight studies were included with a total sample size of n = 14,258 (67% girls). Settings identified were school, family/home, community and combinations of these. The review identified 38 modifiable determinants, spanning seven categories on individual, interpersonal and physical environmental levels, with 66% of determinants on the individual level. Overall, the results indicated trivial-to-moderate effects of the interventions on the determinants of PA and SB, with mostly trivial level of evidence for the presence of an effect (as indicated by a small Bayes factor; BF10 < 3.00). The exceptions were moderate effects on parental PA modelling in the family/home setting and SB measured during specific parts of the school day. Higher quality of evidence was found in the family/home setting compared with other settings. Discussion Overall, the results indicated that interventions have neither been effective in modifying the determinants of PA/SB, nor changing the PA/SB outcomes in children. In general, the approach in the current review revealed the breadth of methodological variability in children’s PA interventions. Research is needed to address novel approaches to children’s PA research and to identify potential determinants to inform policy and future interventions. Registration International prospective register of systematic reviews (PROSPERO): CRD42021282874.
Background To combat the high prevalence of physical inactivity among children, there is an urgent need to develop and implement real-world interventions and policies that promote physical activity (PA) and reduce sedentary behaviour (SB). To inform policy makers, the current body of evidence for children’s PA/SB interventions needs to be translated. Objectives The current systematic review and meta-analysis aimed to identify modifiable determinants of device-measured PA and SB targeted in available intervention studies with randomized controlled trial (RCT) and controlled trial (CT) designs in children and early adolescents (5–12 years) and to quantify the effects of the interventions within their respective settings on the determinants of PA/SB and the outcomes PA and SB. Methods A systematic search was conducted in MEDLINE, PsycINFO, Web of Science, SPORTDiscus and CENTRAL. Studies were considered if they were randomized controlled trials (RCTs) or controlled trials (CTs), included children and/or early adolescents (5–12 years; henceforth termed children), measured PA and/or SB using device-based methods and measured PA and/or SB and determinants of PA/SB at least at two timepoints. Risk of bias was assessed using the Cochrane Risk of Bias Tool for Randomised Trials (RoB2) for RCTs and Risk of Bias in Non-randomised Studies of Interventions (ROBINS-I) for CTs. The quality of the generated evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation (GRADE). Robust Bayesian meta-analysis was conducted to quantify the effects of the interventions on the determinants of PA/SB, and the outcomes PA and SB, stratifying by study design, duration of PA/SB measurement, intervention setting and duration of follow-up measurement. Study characteristics and interventions were summarized. Results Thirty-eight studies were included with a total sample size of n = 14,258 (67% girls). Settings identified were school, family/home, community and combinations of these. The review identified 38 modifiable determinants, spanning seven categories on individual, interpersonal and physical environmental levels, with 66% of determinants on the individual level. Overall, the results indicated trivial-to-moderate effects of the interventions on the determinants of PA and SB, with mostly trivial level of evidence for the presence of an effect (as indicated by a small Bayes factor; BF10 < 3.00). The exceptions were moderate effects on parental PA modelling in the family/home setting and SB measured during specific parts of the school day. Higher quality of evidence was found in the family/home setting compared with other settings. Discussion Overall, the results indicated that interventions have neither been effective in modifying the determinants of PA/SB, nor changing the PA/SB outcomes in children. In general, the approach in the current review revealed the breadth of methodological variability in children’s PA interventions. Research is needed to address novel approaches to children’s PA research and to identify potential determinants to inform policy and future interventions. Registration International prospective register of systematic reviews (PROSPERO): CRD42021282874.
Purpose To (1) examine how physical activity and sedentary behavior are related to mental distress and (2) identify and compare how various levels of sedentary behaviors may differentially predict mental distress after accounting for physical activity, among caregivers vs non-caregivers. Design Cross-sectional secondary data. Setting National Cancer Institute’s Health Information National Trends Survey Cycle 6 fielded online from March-November 2022. Participants U.S. adults aged 18 and older. Measures The Patient Health Questionnaire-4 was administered along with caregiving status, moderate weekly physical activity, sedentary behavior, and sociodemographic characteristics. Analysis After applying population weights, we conducted multiple adjusted logistic regression models and estimated predictive margins to understand whether a specific dose of sedentary behavior (hours/day) is associated with risk of mental distress, at different levels of physical activity. Results Caregivers (15.41% of sample) reporting 10-hour of daily sedentary behavior were significantly more likely to experience mental distress, than those reporting lower amounts of sedentary behavior (OR = 3.372, 95%CI = 1.968, 5.776, P < 0.001). Regardless of physical activity amount, 10 hours of sedentary behavior may be a risk factor for mental distress among non-caregivers. Just 6 hours of sedentary behavior may be related to mental distress among caregivers. Conclusion Physical activity interventions tailored to caregivers’ needs, responsibilities, and circumstances are required. Innovative methodologies are needed to understand caregivers’ daily behaviors and the intensity of their caregiving activities.
Background:Intergenerational physical activity programming is a promising approach to increase (co-)physical activity in children and older adults. Unfortunately, most of these programs do not take into account the needs and preferences of the target group and mostly focus on children and older adults who are not family-related. Furthermore, the development process of an intergenerational physical activity program often remains underexamined. This study aims to comprehensively describe the systematic development of an evidence-based, co-created intergenerational physical activity intervention, the ‘Ages get Active’ intervention, which jointly engages grandparents and their grandchildren in physical activity. Methods: The three stages and seven steps of the theoretical framework, the Behaviour Change Wheel, were described. This theoretical framework was combined with a participatory co-creation approach to develop an intergenerational physical activity program for grandparents and grandchildren. Six grandchildren (1 boy and 5 girls, M age 6.83; Std 1.17) and four grandparents (3 women and 1 man, M age 63.5; Std 3.11) participated in the co-creation sessions. A meeting with organizational stakeholders was organized to gain additional input. Results: Four intervention components emerged from the development phase: 1) an educational component; 2) organized group-based intergenerational movement sessions; 3) home-based (intergenerational) activities and 4) the promotion of community-based events. The intervention will start with an educational component where grandparents and parents will receive information about the intervention. During six weeks, six movement sessions will take place where grandparents and grandchildren will work on different aspects (coordination, strength,…) together. Grandparents and grandchildren will use a booklet with physical activities they can do together or individually at home and will also receive a list of events they can do together in the community. Conclusions: The ‘Ages get Active’ intervention was developed using the Behaviour Change Wheel in combination with co-creation. The comprehensive and transparent description of the steps of the Behaviour Change Wheel and how these steps were integrated into the co-creation sessions, findings and insights into the process development can help future researchers and health professionals in developing interventions for older adults (grandparents) and children (grandchildren).
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