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      Built environment and cardio‐metabolic health: systematic review and meta‐analysis of longitudinal studies

      1 , 2 , 2 , 3 , 2 , 2 , 4 , 5 , 6 , 7 , 2 , 3 , 8 , 3 , 1 , 4 , 5
      Obesity Reviews
      Wiley

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          Abstract

          Built environment attributes may be related to cardio-metabolic diseases (e.g. type 2 diabetes, heart disease and stroke) and their risk factors, potentially by influencing residents' physical activity. However, existing literature reviews on the built environment and health for the most part focus on obesity as the outcome and rely on cross-sectional studies. This systematic review synthesized current evidence on longitudinal relationships between built environment attributes and cardio-metabolic health outcomes among adults and on the potential mediating role of physical inactivity. By searching eight databases for peer-reviewed journal articles published in the English language between January 2000 and July 2016, the review identified 36 articles. A meta-analysis method, weighted Z-test, was used to quantify the strength of evidence by incorporating the methodological quality of the studies. We found strong evidence for longitudinal relationships of walkability with obesity, type 2 diabetes and hypertension outcomes in the expected direction. There was strong evidence for the impact of urban sprawl on obesity outcomes. The evidence on potential mediation by physical activity was inconclusive. Further longitudinal studies are warranted to examine which specific built environment attributes influence residents' cardio-metabolic health outcomes and how physical inactivity may be involved in these relationships.

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          Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996-2011.

          To systematically review and provide an informative synthesis of findings from longitudinal studies published since 1996 reporting on relationships between self-reported sedentary behavior and device-based measures of sedentary time with health-related outcomes in adults. Studies published between 1996 and January 2011 were identified by examining existing literature reviews and by systematic searches in Web of Science, MEDLINE, PubMed, and PsycINFO. English-written articles were selected according to study design, targeted behavior, and health outcome. Forty-eight articles met the inclusion criteria; of these, 46 incorporated self-reported measures including total sitting time; TV viewing time only; TV viewing time and other screen-time behaviors; and TV viewing time plus other sedentary behaviors. Findings indicate a consistent relationship of self-reported sedentary behavior with mortality and with weight gain from childhood to the adult years. However, findings were mixed for associations with disease incidence, weight gain during adulthood, and cardiometabolic risk. Of the three studies that used device-based measures of sedentary time, one showed that markers of obesity predicted sedentary time, whereas inconclusive findings have been observed for markers of insulin resistance. There is a growing body of evidence that sedentary behavior may be a distinct risk factor, independent of physical activity, for multiple adverse health outcomes in adults. Prospective studies using device-based measures are required to provide a clearer understanding of the impact of sedentary time on health outcomes. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
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            Mediation Analysis: A Practitioner's Guide

            This article provides an overview of recent developments in mediation analysis, that is, analyses used to assess the relative magnitude of different pathways and mechanisms by which an exposure may affect an outcome. Traditional approaches to mediation in the biomedical and social sciences are described. Attention is given to the confounding assumptions required for a causal interpretation of direct and indirect effect estimates. Methods from the causal inference literature to conduct mediation in the presence of exposure-mediator interactions, binary outcomes, binary mediators, and case-control study designs are presented. Sensitivity analysis techniques for unmeasured confounding and measurement error are introduced. Discussion is given to extensions to time-to-event outcomes and multiple mediators. Further flexible modeling strategies arising from the precise counterfactual definitions of direct and indirect effects are also described. The focus throughout is on methodology that is easily implementable in practice across a broad range of potential applications.
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              Long-term health benefits of physical activity – a systematic review of longitudinal studies

              Background The treatment of noncommunicable diseases (NCD), like coronary heart disease or type 2 diabetes mellitus, causes rising costs for the health system. Physical activity is supposed to reduce the risk for these diseases. Results of cross-sectional studies showed that physical activity is associated with better health, and that physical activity could prevent the development of these diseases. The purpose of this review is to summarize existing evidence for the long-term (>5 years) relationship between physical activity and weight gain, obesity, coronary heart disease, type 2 diabetes mellitus, Alzheimer’s disease and dementia. Methods Fifteen longitudinal studies with at least 5-year follow up times and a total of 288,724 subjects (>500 participants in each study), aged between 18 and 85 years, were identified using digital databases. Only studies published in English, about healthy adults at baseline, intentional physical activity and the listed NCDs were included. Results The results of these studies show that physical activity appears to have a positive long-term influence on all selected diseases. Conclusions This review revealed a paucity of long-term studies on the relationship between physical activity and the incidence of NCD.
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                Author and article information

                Journal
                Obesity Reviews
                Obesity Reviews
                Wiley
                1467-7881
                1467-789X
                October 10 2018
                January 2019
                September 25 2018
                January 2019
                : 20
                : 1
                : 41-54
                Affiliations
                [1 ]Mary MacKillop Institute for Health ResearchAustralian Catholic University Melbourne Victoria Australia
                [2 ]Melbourne School of Population and Global HealthUniversity of Melbourne Melbourne Victoria Australia
                [3 ]Centre for Urban ResearchRMIT University Melbourne Victoria Australia
                [4 ]Baker Heart and Diabetes Institute Melbourne Victoria Australia
                [5 ]Centre for Urban TransitionsSwinburne University of Technology Melbourne Victoria Australia
                [6 ]School of Public HealthThe University of Queensland Brisbane Queensland Australia
                [7 ]Central Clinical School, Faculty of Medicine, Nursing and Health SciencesMonash University Melbourne Victoria Australia
                [8 ]School of Public Health and Social WorkQueensland University of Technology Brisbane Queensland Australia
                Article
                10.1111/obr.12759
                30253075
                bffc2270-7898-4111-94ab-9d567a1fdf2b
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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

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