scholarly journals Physically Active Lessons Meta-Analysis - Norris et al. POST-PRINT

2019 ◽  
Author(s):  
Emma Norris ◽  
Tommy van Steen ◽  
Artur Direito ◽  
Emmanuel Stamatakis

Objective: This review provides the first meta-analysis of the effects of physically active lessons on lesson-time and overall physical activity (PA), as well as health, cognition and educational outcomes. Design: Systematic review and meta-analysis. Six meta-analyses pooled effects on lesson-time PA, overall PA, in-class educational and overall educational outcomes, cognition and health outcomes. Meta-analyses were conducted using the metafor package in R. Risk of bias was assessed using the Cochrane tool for risk of bias. Data sources: PubMed, Embase, PsycINFO, ERIC and Web of Science, grey literature and reference lists were searched in December 2017 and April 2019. Studies eligibility criteria: Physically active lessons compared to a control group in a randomised or non-randomised design, within single component interventions in general school populations. Results: 42 studies (39 in preschool or elementary school settings, 27 randomised controlled trials) were eligible for inclusion in the systematic review and 37 of them were included across the six meta-analyses (n=12,663). Physically active lessons were found to produce large, significant increases in lesson-time PA (d=2.33; 95%CI 1.42, 3.25: k=16) and small, significant effects on overall PA (d= 0.32, 95%CI 0.18, 0.46: k=8). A large, significant effect was shown on lesson-time educational outcomes (d=0.81; 95%CI 0.47, 1.14: k=7) and a small, significant effect on overall educational outcomes (d=0.36, 95%CI [0.09, 0.63], k=25). No effects were seen on cognitive (k=3) or health outcomes (k=3). 25/42 studies had high risk of bias in at least 2 domains. Conclusion: In elementary and preschool settings, when physically active lessons were added into the curriculum they had a positive impact on both physical activity and educational outcomes. These findings support policy initiatives encouraging the incorporation of physically active lessons into teaching in elementary and preschool settings.

2019 ◽  
Vol 54 (14) ◽  
pp. 826-838 ◽  
Author(s):  
Emma Norris ◽  
Tommy van Steen ◽  
Artur Direito ◽  
Emmanuel Stamatakis

ObjectiveThis review provides the first meta-analysis of the impact of physically active lessons on lesson-time and overall physical activity (PA), as well as health, cognition and educational outcomes.DesignSystematic review and meta-analysis of controlled studies. Six meta-analyses pooled effects on lesson-time PA, overall PA, in-class educational and overall educational outcomes, cognition and health outcomes. Meta-analyses were conducted using the metafor package in R. Risk of bias was assessed using the Cochrane tool for risk of bias.Data sourcesPubMed, Embase, PsycINFO, ERIC and Web of Science, grey literature and reference lists were searched in December 2017 and April 2019.Studies eligibility criteriaPhysically active lessons compared with a control group in a randomised or non-randomised design, within single component interventions in general school populations.Results42 studies (39 in preschool or elementary school settings, 27 randomised controlled trials) were eligible to be included in the systematic review and 37 of them were included across the six meta-analyses (n=12 663). Physically active lessons were found to produce large, significant increases in lesson-time PA (d=2.33; 95% CI 1.42 to 3.25: k=16) and small, increases on overall PA (d=0.32; 95% CI 0.18 to 0.46: k=8), large, improvement in lesson-time educational outcomes (d=0.81; 95% CI 0.47 to 1.14: k=7) and a small improvement in overall educational outcomes (d=0.36; 95% CI 0.09 to 0.63: k=25). No effects were seen on cognitive (k=3) or health outcomes (k=3). 25/42 studies had high risk of bias in at least two domains.ConclusionIn elementary and preschool settings, when physically active lessons were added into the curriculum they had positive impact on both physical activity and educational outcomes. These findings support policy initiatives encouraging the incorporation of physically active lessons into teaching in elementary and preschool setting.Trial registration numberCRD42017076933.


2021 ◽  
Vol 5 (1) ◽  
pp. e001129
Author(s):  
Bill Stevenson ◽  
Wubshet Tesfaye ◽  
Julia Christenson ◽  
Cynthia Mathew ◽  
Solomon Abrha ◽  
...  

BackgroundHead lice infestation is a major public health problem around the globe. Its treatment is challenging due to product failures resulting from rapidly emerging resistance to existing treatments, incorrect treatment applications and misdiagnosis. Various head lice treatments with different mechanism of action have been developed and explored over the years, with limited report on systematic assessments of their efficacy and safety. This work aims to present a robust evidence summarising the interventions used in head lice.MethodThis is a systematic review and network meta-analysis which will be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement for network meta-analyses. Selected databases, including PubMed, Embase, MEDLINE, Web of Science, CINAHL and Cochrane Central Register of Controlled Trials will be systematically searched for randomised controlled trials exploring head lice treatments. Searches will be limited to trials published in English from database inception till 2021. Grey literature will be identified through Open Grey, AHRQ, Grey Literature Report, Grey Matters, ClinicalTrials.gov, WHO International Clinical Trials Registry and International Standard Randomised Controlled Trials Number registry. Additional studies will be sought from reference lists of included studies. Study screening, selection, data extraction and assessment of methodological quality will be undertaken by two independent reviewers, with disagreements resolved via a third reviewer. The primary outcome measure is the relative risk of cure at 7 and 14 days postinitial treatment. Secondary outcome measures may include adverse drug events, ovicidal activity, treatment compliance and acceptability, and reinfestation. Information from direct and indirect evidence will be used to generate the effect sizes (relative risk) to compare the efficacy and safety of individual head lice treatments against a common comparator (placebo and/or permethrin). Risk of bias assessment will be undertaken by two independent reviewers using the Cochrane Risk of Bias tool and the certainty of evidence assessed using the Grading of Recommendations, Assessment, Development and Evaluations guideline for network meta-analysis. All quantitative analyses will be conducted using STATA V.16.DiscussionThe evidence generated from this systematic review and meta-analysis is intended for use in evidence-driven treatment of head lice infestations and will be instrumental in informing health professionals, public health practitioners and policy-makers.PROSPERO registration numberCRD42017073375.


2019 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Objectives To examine the effectiveness and safety of yoga for women with sleep problems by performing a systematic review and meta-analysis.Methods Medline/PubMed, Clincalkey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality or the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep Quality Index (PSQI), Insomnia severity index (ISI), or objective instruments, such as polysomnography, actigraphy, and safety of the intervention. For each outcome, standardized mean difference (SMD) and 95% confidence intervals (CIs) were determined. Results Nineteen studies including 1832 participants were included in this systematic review. Meta-analyses revealed positive effects of yoga using PSQI or ISI scores in 16 randomized control trials (RCTs) compared with the control group in improving sleep quality in women, PSQI (SMD = −0.54; 95% CI = −0.89 to −0.19 ; P = 0.003). However, three RCTs revealed no effects of yoga compared with the control group in reducing the severity of insomnia in women using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69). Seven RCTs revealed no evidence for effects of yoga compared with the control group in improving sleep quality for women with breast cancer using PSQI (SMD = −0.15 ; 95% CI = −0.31 to 0.01; P = 0.5). Four RCTs revealed no evidence for the effects of yoga compared with the control group in improving the sleep quality for peri-or postmenopausal women using PSQI (SMD = −0.31; 95% CI = −0.95 to 0.33; P = 0.34).Yoga was not associated with serious adverse events. Discussion This systematic review and meta-analysis found that yoga intervention in some groups of women was beneficial in managing sleep problems. Despite certain disadvantages in methodology in the included studies, yoga may be recommended as a complementary therapy to women.


2020 ◽  
Author(s):  
Alexandra Rhodes ◽  
Andrea D. Smith ◽  
Paul Chadwick ◽  
Helen Croker ◽  
Clare H. Llewellyn

BACKGROUND Interventions to promote a healthy diet, physical activity, and weight management during pregnancy are increasingly embracing digital technologies. Although some interventions have combined digital with interpersonal (face-to-face or telephone) delivery, others have relied exclusively on digital delivery. Exclusively digital interventions have the advantages of greater cost-effectiveness and broader reach and as such can be a valuable resource for health care providers. OBJECTIVE This systematic review aims to focus on exclusively digital interventions to determine their effectiveness, identify behavior change techniques (BCTs), and investigate user engagement. METHODS A total of 6 databases (Medical Literature Analysis and Retrieval System Online [MEDLINE], Excerpta Medica dataBASE [EMBASE], PsycINFO, Cumulated Index to Nursing and Allied Health Literature [CINAHL] Plus, Web of Science, and ProQuest) were searched for randomized controlled trials or pilot control trials of exclusively digital interventions to encourage healthy eating, physical activity, or appropriate weight gain during pregnancy. The outcome measures were gestational weight gain (GWG) and changes in physical activity and dietary behaviors. Study quality was assessed using the Cochrane Risk of Bias tool 2.0. Where possible, pooled effect sizes were calculated using a random effects meta-analysis. RESULTS In total, 11 studies met the inclusion criteria. The risk of bias was mostly high (n=5) or moderate (n=3). Of the 11 studies, 6 reported on GWG as the primary outcome, 4 of which also measured changes in physical activity and dietary behaviors, and 5 studies focused either on dietary behaviors only (n=2) or physical activity only (n=3). The meta-analyses showed no significant benefit of interventions on total GWG for either intention-to-treat data (−0.28 kg; 95% CI −1.43 to 0.87) or per-protocol data (−0.65 kg; 95% CI −1.98 to 0.67). Substantial heterogeneity in outcome measures of change in dietary behaviors and physical activity precluded further meta-analyses. BCT coding identified 7 BCTs that were common to all effective interventions. Effective interventions averaged over twice as many BCTs from the <i>goals and planning</i>, and <i>feedback and monitoring</i> domains as ineffective interventions. Data from the 6 studies reporting on user engagement indicated a positive association between high engagement with key BCTs and greater intervention effectiveness. Interventions using proactive messaging and feedback appeared to have higher levels of engagement. CONCLUSIONS In contrast to interpersonal interventions, there is little evidence of the effectiveness of exclusively digital interventions to encourage a healthy diet, physical activity, or weight management during pregnancy. In this review, effective interventions used proactive messaging, such as reminders to engage in BCTs, feedback on progress, or tips, suggesting that interactivity may drive engagement and lead to greater effectiveness. Given the benefits of cost and reach of digital interventions, further research is needed to understand how to use advancing technologies to enhance user engagement and improve effectiveness.


2019 ◽  
Author(s):  
Isaac Nkrumah ◽  
Madelon North ◽  
Emily Jane Kothe ◽  
Tze Lin Chai ◽  
Stephanie Pirotta ◽  
...  

Introduction: Healthy preconception and antenatal diet and physical activity behaviours are crucial to prevent adverse maternal and offspring outcomes. These behaviours are thought to be linked to pregnancy intentions. The aim of this study was to conduct a systematic review and meta-analysis to determine the association between women’s pregnancy intentions and diet or physical activity behaviours in the preconception and antenatal periods. Methods: Medline Complete, PsycINFO, CINAHL Complete, Global Health, Embase, and INFORMIT: Health Subset were searched in September 2018 for studies that evaluated relationships between pregnancy intentions and dietary and physical activity behaviours. Risk of bias was assessed and random effects meta-analyses were conducted for dietary (food groups; energy and macronutrients; diet quality; and caffeine, iodine and folate intake) and physical activity outcomes.Results: Of 2623 screened records, 19 eligible studies were identified. Overall risk of bias was moderate to high. Twelve studies measured diet/physical activity behaviours during preconception, 5 during pregnancy, and 2 across both periods. Eleven studies measured pregnancy intention retrospectively, and 8 prospectively measured pregnancy intention. The number of studies available for meta-analyses of individual dietary and physical activity outcomes ranged from 2 to 5. Pregnancy intentions were not associated with preconception fruit, vegetable, or caffeine intake or physical activity. Antenatally, women with intended pregnancies were more likely to report healthier diets, lower caffeine intake and higher physical activity. Insufficient studies were available to conduct subgroup comparisons for prospective/retrospective assessment.Discussion: Pregnancy intentions were not associated with preconception diet or physical activity behaviours. In contrast, antenatally, women with intended pregnancies demonstrated better diet and physical activity behaviours. Given the small number of studies available for meta-analyses, further research is needed to consolidate our findings. Meanwhile, health professionals can assess women’s pregnancy intentions during preconception and pregnancy and encourage a healthy lifestyle.PROSPERO registration number CRD42018107854.


10.2196/18255 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e18255
Author(s):  
Alexandra Rhodes ◽  
Andrea D Smith ◽  
Paul Chadwick ◽  
Helen Croker ◽  
Clare H Llewellyn

Background Interventions to promote a healthy diet, physical activity, and weight management during pregnancy are increasingly embracing digital technologies. Although some interventions have combined digital with interpersonal (face-to-face or telephone) delivery, others have relied exclusively on digital delivery. Exclusively digital interventions have the advantages of greater cost-effectiveness and broader reach and as such can be a valuable resource for health care providers. Objective This systematic review aims to focus on exclusively digital interventions to determine their effectiveness, identify behavior change techniques (BCTs), and investigate user engagement. Methods A total of 6 databases (Medical Literature Analysis and Retrieval System Online [MEDLINE], Excerpta Medica dataBASE [EMBASE], PsycINFO, Cumulated Index to Nursing and Allied Health Literature [CINAHL] Plus, Web of Science, and ProQuest) were searched for randomized controlled trials or pilot control trials of exclusively digital interventions to encourage healthy eating, physical activity, or appropriate weight gain during pregnancy. The outcome measures were gestational weight gain (GWG) and changes in physical activity and dietary behaviors. Study quality was assessed using the Cochrane Risk of Bias tool 2.0. Where possible, pooled effect sizes were calculated using a random effects meta-analysis. Results In total, 11 studies met the inclusion criteria. The risk of bias was mostly high (n=5) or moderate (n=3). Of the 11 studies, 6 reported on GWG as the primary outcome, 4 of which also measured changes in physical activity and dietary behaviors, and 5 studies focused either on dietary behaviors only (n=2) or physical activity only (n=3). The meta-analyses showed no significant benefit of interventions on total GWG for either intention-to-treat data (−0.28 kg; 95% CI −1.43 to 0.87) or per-protocol data (−0.65 kg; 95% CI −1.98 to 0.67). Substantial heterogeneity in outcome measures of change in dietary behaviors and physical activity precluded further meta-analyses. BCT coding identified 7 BCTs that were common to all effective interventions. Effective interventions averaged over twice as many BCTs from the goals and planning, and feedback and monitoring domains as ineffective interventions. Data from the 6 studies reporting on user engagement indicated a positive association between high engagement with key BCTs and greater intervention effectiveness. Interventions using proactive messaging and feedback appeared to have higher levels of engagement. Conclusions In contrast to interpersonal interventions, there is little evidence of the effectiveness of exclusively digital interventions to encourage a healthy diet, physical activity, or weight management during pregnancy. In this review, effective interventions used proactive messaging, such as reminders to engage in BCTs, feedback on progress, or tips, suggesting that interactivity may drive engagement and lead to greater effectiveness. Given the benefits of cost and reach of digital interventions, further research is needed to understand how to use advancing technologies to enhance user engagement and improve effectiveness.


BMJ Open ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. e034541
Author(s):  
Charlotte Wahlich ◽  
Umar A R Chaudhry ◽  
Rebecca Fortescue ◽  
Derek G Cook ◽  
Shashivadan Hirani ◽  
...  

ObjectiveTo identify randomised controlled trials (RCTs) of physical activity (PA) interventions with objective PA outcomes in adults and to evaluate whether intervention effects were sustained beyond 12 months.DesignSystematic review and meta-analysis.Data sourcesSeven databases (Medline, Embase, PsycINFO, Web of Science, Cochrane library, CINAHL (Cumulative Index of Nursing and Allied Health Literature) and ASSIA (Applied Social Sciences Index and Abstracts)) were searched from January 2000 until December 2019.Eligibility criteriaRCTs reporting objective PA outcomes beyond 12 months with community-based participants aged ≥18 years were included; those where controls received active interventions, including advice to increase PA levels, were excluded.Data extraction and synthesisTwo independent reviewers completed extraction of aggregate data and assessed risk of bias. Meta-analyses used random-effects models at different follow-up points. Primary outcomes were daily steps and weekly minutes of moderate-to-vigorous PA (MVPA).ResultsOf 33 282 records identified, nine studies (at generally low risk of bias) were included, five in meta-analyses with 12 months to 4 year follow-up. We observed 12 month increases for intervention vs control participants in steps/day (mean difference (MD)=554 (95% CIs: 384 to 724) p<0.0001, I2=0%; 2446 participants; four studies) and weekly MVPA minutes (MD=35 (95% CI: 27 to 43) p<0.0001, I2=0%; 2647 participants; four studies). Effects were sustained up to 4 years for steps/day (MD=494 (95% CI: 251 to 738) p<0.0001, I2=0%; 1944 participants; four studies) and weekly MVPA minutes (MD=25 (95% CI: 13 to 37) p<0.0001, I2=0%; 1458 participants; three studies).ConclusionsThere are few PA interventions with objective follow-up beyond 12 months, more studies are needed. However, this review provided evidence of PA intervention effects beyond 12 months and sustained up to 4 years for both steps/day and MVPA. These findings have important implications for potential long-term health benefits.PROSPERO registration numberCRD42017075753.


2020 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Background: To examine the effectiveness and safety of yoga of women with sleep problems by performing a systematic review and meta-analysis. Methods: Medline/PubMed, ClinicalKey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June, 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality or the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep QualityIndex (PSQI),Insomnia Severity Index (ISI), or objective instruments such as polysomnography, actigraphy, and safety of the intervention. For each outcome, a standardized mean difference (SMD) and confidence intervals (CIs) of 95% were determined. Results: Nineteen studies in this systematic review included 1832 participants. The meta-analysis of the combined data conducted according to Comprehensive Meta-Analysis showed a significant improvement in sleep (SMD =−0.327, 95% CI=−0.506 to −0.148,P<0.001).Meta-analyses revealed positive effects of yoga using PSQI scores in 16 randomized control trials (RCTs), compared with the control group in improving sleep quality among women usingPSQI (SMD = −0.54; 95% CI = −0.89 to −0.19; P = 0.003). However, three RCTs revealed no effects of yoga compared to the control groupin reducing insomnia among women using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69).Yoga was not associated with any serious adverse events. Discussion: This systematic review and meta-analysis demonstrated that yoga intervention in women can be beneficial whencompared to non-active control conditions in term of managing sleep problems.The moderator analyses suggest that participants in the non-breast cancer subgroup and participants in the non-peri/postmenopausal subgroup were associated with greater benefits, with a direct correlation of total class time with quality of sleep among other related benefits.


2019 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Objectives To examine the effectiveness and safety of yoga for women with sleep problems by performing a systematic review and meta-analysis.Methods Medline/PubMed, Clincalkey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep qualityor the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep Quality Index (PSQI), Insomnia severity index (ISI), or objective instruments, such as polysomnography, actigraphy, and safety of the intervention. For each outcome, standardized mean difference (SMD) and 95% confidence intervals (CIs) were determined.Results Nineteen studies including 1832 participants were included in this systematic review. Meta-analyses revealed positive effects of yoga using PSQI or ISI scores in 16 randomized control trials (RCTs) compared with the control group in improving sleep quality in women, PSQI (SMD = −0.54; 95% CI = −0.89 to −0.19 ; P = 0.003). However, three RCTs revealed no effects of yoga compared with the control group in reducing the severity of insomnia in women using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69). Seven RCTs revealed no evidence for effects of yoga compared with the control group in improving sleep quality for women with breast cancer using PSQI (SMD = −0.15 ; 95% CI = −0.31 to 0.01; P = 0.5). Four RCTs revealed no evidence for the effects of yoga compared with the control group in improving the sleep quality for peri-or postmenopausal women using PSQI (SMD = −0.31; 95% CI = −0.95 to 0.33; P = 0.34).Yoga was not associated with serious adverse events.Discussion This systematic review and meta-analysis found that yoga intervention in some groups of women was beneficial in managing sleep problems. Despite certain disadvantages in methodology in the included studies, yoga may be recommended as a complementary therapy to women.


2020 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Objectives: To examine the effectiveness and safety of yoga of women with sleep problems by performing a systematic review and meta-analysis. Methods: Medline/PubMed, ClinicalKey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June, 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality or the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep QualityIndex (PSQI),Insomnia Severity Index (ISI), or objective instruments such as polysomnography, actigraphy, and safety of the intervention. For each outcome, a standardized mean difference (SMD) and confidence intervals (CIs) of 95% were determined. Results: Nineteen studies in this systematic review included 1832 participants. The meta-analysis of the combined data conducted according to Comprehensive Meta-Analysis showed a significant improvement in sleep (SMD =−0.327, 95% CI=−0.506 to −0.148,P<0.001).Meta-analyses revealed positive effects of yoga using PSQI scores in 16 randomized control trials (RCTs), compared with the control group in improving sleep quality among women usingPSQI (SMD = −0.54; 95% CI = −0.89 to −0.19; P = 0.003). However, three RCTs revealed no effects of yoga compared to the control groupin reducing insomnia amongwomen using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69).Yoga was not associated with any serious adverse events. Discussion: This systematic review and meta-analysis demonstrated that yoga intervention in women can be beneficial whencompared to non-active control conditions in term of managing sleep problems.The moderator analyses suggest that participants in the non-breast cancer subgroup and participants in the non-peri/postmenopausal subgroup were associated with greater benefits, with a direct correlation of total class time with quality of sleep among other related benefits.


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