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      Objectively Measured Physical Activity and Fat Mass in Children: A Bias-Adjusted Meta-Analysis of Prospective Studies

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          Abstract

          Background

          Studies investigating the prevention of weight gain differ considerably in design and quality, which impedes pooling them in conventional meta-analyses, the basis for evidence-based policy making. This study is aimed at quantifying the prospective association between measured physical activity and fat mass in children, using a meta-analysis method that allows inclusion of heterogeneous studies by adjusting for differences through eliciting and incorporating expert opinion.

          Methods

          Studies on prevention of weight gain using objectively measured exposure and outcome were eligible; they were adopted from a recently published systematic review. Differences in study quality and design were considered as internal and external biases and captured in checklists. Study results were converted to correlation coefficients and biases were considered either additive or proportional on this scale. The extent and uncertainty of biases in each study were elicited in a formal process by six quantitatively-trained assessors and five subject-matter specialists. Biases for each study were combined across assessors using median pooling. Results were combined across studies by random-effects meta-analysis.

          Results

          The combined correlation of the unadjusted results from the six studies was −0.04 (95%CI: −0.22, 0.14) with considerable heterogeneity (I 2 = 78%), which makes it difficult to interpret the result. After bias-adjustment the pooled correlation was −0.01 (95%CI: −0.18, 0.16) with apparent study compatibility (I 2 = 0%).

          Conclusion

          By using this method the prospective association between physical activity and fat mass could be quantitatively synthesized; the result suggests no association. Objectively measured physical activity may not be the key determinant of unhealthy weight gain in children.

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          Most cited references20

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          Health consequences of obesity in youth: childhood predictors of adult disease.

          W Dietz (1998)
          Obesity now affects one in five children in the United States. Discrimination against overweight children begins early in childhood and becomes progressively institutionalized. Because obese children tend to be taller than their nonoverweight peers, they are apt to be viewed as more mature. The inappropriate expectations that result may have an adverse effect on their socialization. Many of the cardiovascular consequences that characterize adult-onset obesity are preceded by abnormalities that begin in childhood. Hyperlipidemia, hypertension, and abnormal glucose tolerance occur with increased frequency in obese children and adolescents. The relationship of cardiovascular risk factors to visceral fat independent of total body fat remains unclear. Sleep apnea, pseudotumor cerebri, and Blount's disease represent major sources of morbidity for which rapid and sustained weight reduction is essential. Although several periods of increased risk appear in childhood, it is not clear whether obesity with onset early in childhood carries a greater risk of adult morbidity and mortality. Obesity is now the most prevalent nutritional disease of children and adolescents in the United States. Although obesity-associated morbidities occur more frequently in adults, significant consequences of obesity as well as the antecedents of adult disease occur in obese children and adolescents. In this review, I consider the adverse effects of obesity in children and adolescents and attempt to outline areas for future research. I refer to obesity as a body mass index greater than the 95th percentile for children of the same age and gender.
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            Conducting accelerometer-based activity assessments in field-based research.

            The purpose of this review is to address important methodological issues related to conducting accelerometer-based assessments of physical activity in free-living individuals. We review the extant scientific literature for empirical information related to the following issues: product selection, number of accelerometers needed, placement of accelerometers, epoch length, and days of monitoring required to estimate habitual physical activity. We also discuss the various options related to distributing and collecting monitors and strategies to enhance compliance with the monitoring protocol. No definitive evidence exists currently to indicate that one make and model of accelerometer is more valid and reliable than another. Selection of accelerometer therefore remains primarily an issue of practicality, technical support, and comparability with other studies. Studies employing multiple accelerometers to estimate energy expenditure report only marginal improvements in explanatory power. Accelerometers are best placed on hip or the lower back. Although the issue of epoch length has not been studied in adults, the use of count cut points based on 1-min time intervals maybe inappropriate in children and may result in underestimation of physical activity. Among adults, 3-5 d of monitoring is required to reliably estimate habitual physical activity. Among children and adolescents, the number of monitoring days required ranges from 4 to 9 d, making it difficult to draw a definitive conclusion for this population. Face-to-face distribution and collection of accelerometers is probably the best option in field-based research, but delivery and return by express carrier or registered mail is a viable option. Accelerometer-based activity assessments requires careful planning and the use of appropriate strategies to increase compliance.
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              Bias in clinical intervention research.

              Research on bias in clinical trials may help identify some of the reasons why investigators sometimes reach the wrong conclusions about intervention effects. Several quality components for the assessment of bias control have been suggested, but although they seem intrinsically valid, empirical evidence is needed to evaluate their effects on the extent and direction of bias. This narrative review summarizes the findings of methodological studies on the influence of bias in clinical trials. A number of methodological studies suggest that lack of adequate randomization in published trial reports may be associated with more positive estimates of intervention effects. The influence of double-blinding and follow-up is less clear. Several studies have found a significant association between funding sources and pro-industry conclusions. However, the methodological studies also show that bias is difficult to detect and appraise. The extent of bias in individual trials is unpredictable. A-priori exclusion of trials with certain characteristics is not recommended. Appraising bias control in individual trials is necessary to avoid making incorrect conclusions about intervention effects.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                23 February 2011
                : 6
                : 2
                : e17205
                Affiliations
                [1 ]Medical Research Council Collaborative Centre for Human Nutrition Research, Cambridge, United Kingdom
                [2 ]Department of Prevention and Sports Medicine, Technische Universität München, Germany
                [3 ]Medical Research Council Epidemiology Unit, Cambridge, United Kingdom
                [4 ]Medical Research Council Biostatistics Unit, Cambridge, United Kingdom
                University of Swansea, United Kingdom
                Author notes

                Conceived and designed the experiments: DCW SJS UE SGT APM RMT SAJ AKL. Performed the experiments: DCW SJS UE SGT APM RMT SAJ AKL. Analyzed the data: SJS. Contributed reagents/materials/analysis tools: DCW SJS UE SGT APM RMT SAJ AKL. Wrote the manuscript: DCW.

                Article
                PONE-D-10-01392
                10.1371/journal.pone.0017205
                3044163
                21383837
                caf02c61-0e4a-4db8-9031-c24f9bc9977a
                Wilks et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 18 August 2010
                : 25 January 2011
                Page count
                Pages: 8
                Categories
                Research Article
                Medicine
                Clinical Research Design
                Epidemiology
                Longitudinal Studies
                Meta-Analyses
                Modeling
                Observational Studies
                Prospective Studies
                Statistical Methods
                Epidemiology
                Epidemiological Methods
                Pediatric Epidemiology
                Non-Clinical Medicine
                Health Care Policy
                Child and Adolescent Health Policy
                Nutrition
                Obesity
                Pediatrics
                Public Health
                Behavioral and Social Aspects of Health
                Child Health
                Sports and Exercise Medicine

                Uncategorized
                Uncategorized

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