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      Effect of exercise training interventions on energy intake and appetite control in adults with overweight or obesity: A systematic review and meta‐analysis

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          Abstract

          <p id="d3004802e571">This systematic review examined the impact of exercise training interventions on energy intake (EI) and appetite control in adults with overweight/obesity (≥18 years including older adults). Articles were searched up to October 2019. Changes in EI, fasting appetite sensations, and eating behavior traits were examined with random effects meta‐analysis, and other outcomes were synthesized qualitatively. Forty‐eight articles were included (median [range] BMI = 30.6 [27.0–38.4] kg/m <sup>2</sup>). Study quality was rated as poor, fair, and good in 39, seven, and two studies, respectively. Daily EI was assessed objectively ( <i>N</i> = 4), by self‐report ( <i>N</i> = 22), with a combination of the two ( <i>N</i> = 4) or calculated from doubly labeled water ( <i>N</i> = 1). In studies rated fair/good, no significant changes in pre‐post daily EI were found and a small but negligible (SMD &lt; 0.20) postintervention difference when compared with no‐exercise control groups was observed (five study arms; MD = 102 [1, 203] kcal). There were negligible‐to‐small pre‐post increases in fasting hunger and dietary restraint, decrease in disinhibition, and some positive changes in satiety and food reward/preferences. Within the limitations imposed by the quality of the included studies, exercise training (median duration of 12 weeks) leads to a small increase in fasting hunger and a small change in average EI only in studies rated fair/good. Exercise training may also reduce the susceptibility to overconsumption (PROSPERO: CRD42019157823). </p>

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          Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range

          Background In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third quartiles. Hence, in order to combine results, one may have to estimate the sample mean and standard deviation for such trials. Methods In this paper, we propose to improve the existing literature in several directions. First, we show that the sample standard deviation estimation in Hozo et al.’s method (BMC Med Res Methodol 5:13, 2005) has some serious limitations and is always less satisfactory in practice. Inspired by this, we propose a new estimation method by incorporating the sample size. Second, we systematically study the sample mean and standard deviation estimation problem under several other interesting settings where the interquartile range is also available for the trials. Results We demonstrate the performance of the proposed methods through simulation studies for the three frequently encountered scenarios, respectively. For the first two scenarios, our method greatly improves existing methods and provides a nearly unbiased estimate of the true sample standard deviation for normal data and a slightly biased estimate for skewed data. For the third scenario, our method still performs very well for both normal data and skewed data. Furthermore, we compare the estimators of the sample mean and standard deviation under all three scenarios and present some suggestions on which scenario is preferred in real-world applications. Conclusions In this paper, we discuss different approximation methods in the estimation of the sample mean and standard deviation and propose some new estimation methods to improve the existing literature. We conclude our work with a summary table (an Excel spread sheet including all formulas) that serves as a comprehensive guidance for performing meta-analysis in different situations. Electronic supplementary material The online version of this article (doi:10.1186/1471-2288-14-135) contains supplementary material, which is available to authorized users.
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            World Health Organization 2020 guidelines on physical activity and sedentary behaviour

            Objectives To describe new WHO 2020 guidelines on physical activity and sedentary behaviour. Methods The guidelines were developed in accordance with WHO protocols. An expert Guideline Development Group reviewed evidence to assess associations between physical activity and sedentary behaviour for an agreed set of health outcomes and population groups. The assessment used and systematically updated recent relevant systematic reviews; new primary reviews addressed additional health outcomes or subpopulations. Results The new guidelines address children, adolescents, adults, older adults and include new specific recommendations for pregnant and postpartum women and people living with chronic conditions or disability. All adults should undertake 150–300 min of moderate-intensity, or 75–150 min of vigorous-intensity physical activity, or some equivalent combination of moderate-intensity and vigorous-intensity aerobic physical activity, per week. Among children and adolescents, an average of 60 min/day of moderate-to-vigorous intensity aerobic physical activity across the week provides health benefits. The guidelines recommend regular muscle-strengthening activity for all age groups. Additionally, reducing sedentary behaviours is recommended across all age groups and abilities, although evidence was insufficient to quantify a sedentary behaviour threshold. Conclusion These 2020 WHO guidelines update previous WHO recommendations released in 2010. They reaffirm messages that some physical activity is better than none, that more physical activity is better for optimal health outcomes and provide a new recommendation on reducing sedentary behaviours. These guidelines highlight the importance of regularly undertaking both aerobic and muscle strengthening activities and for the first time, there are specific recommendations for specific populations including for pregnant and postpartum women and people living with chronic conditions or disability. These guidelines should be used to inform national health policies aligned with the WHO Global Action Plan on Physical Activity 2018–2030 and to strengthen surveillance systems that track progress towards national and global targets.
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              Cochrane Handbook for Systematic Reviews of Interventions

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                Author and article information

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                Journal
                Obesity Reviews
                Obesity Reviews
                Wiley
                1467-7881
                1467-789X
                July 2021
                May 05 2021
                July 2021
                : 22
                : S4
                Affiliations
                [1 ]Appetite Control and Energy Balance Research Group (ACEB), School of Psychology, Faculty of Medicine and Health University of Leeds Leeds UK
                [2 ]NUTRIM School for Nutrition and Translational Research in Metabolism, Department of Human Biology Maastricht University Maastricht The Netherlands
                [3 ]Sport and Exercise Medicine Division, Department of Medicine University of Padova Padova Italy
                [4 ]Obesity Management Task Force (OMTF) European Association for the Study of Obesity (EASO) Teddington UK
                [5 ]Department of Medicine University of Padova Padova Italy
                [6 ]Faculdade de Educação Física e Desporto CIDEFES, Universidade Lusófona de Humanidades e Tecnologias Lisbon Portugal
                [7 ]Department of Internal Medicine D, Hasharon Hospital, Rabin Medical Center, Sackler School of Medicine Tel Aviv University Tel Aviv Israel
                [8 ]APPsyCI – Applied Psychology Research Center Capabilities &amp; Inclusion ISPA – University Institute Lisbon Portugal
                [9 ]Obesity Prevention and Care Program Contrepoids, Service of Therapeutic Education for Chronic Diseases, Department of Community Medicine, Primary Care and Emergency University Hospitals of Geneva and University of Geneva Geneva Switzerland
                [10 ]INSERM, Nutrition and obesities: systemic approaches, NutriOmics Sorbonne University Paris France
                [11 ]UFR SESS‐STAPS University Paris‐Est Créteil Créteil France
                [12 ]Assistance Publique‐Hôpitaux de Paris (AP‐HP), Pitié‐Salpêtrière hospital, Department of Nutrition, Institute of Cardiometabolism and Nutrition Sorbonne Université Paris France
                Article
                10.1111/obr.13251
                e0947c66-aa2a-4347-9796-c3b5d36e7064
                © 2021

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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