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      Physical activity and all-cause mortality across levels of overall and abdominal adiposity in European men and women: the European Prospective Investigation into Cancer and Nutrition Study (EPIC) 1 2 3 4 5 6

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      , , , , ,   ,   ,   , , , , , , , , , , , , , , , , , , , , , , , , , , , ,   , , , , , , , , , , , ,
      The American Journal of Clinical Nutrition
      American Society for Nutrition
      cohort study, epidemiology, obesity, physical activity, exercise, mortality, population attributable fraction

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          Abstract

          Background: The higher risk of death resulting from excess adiposity may be attenuated by physical activity (PA). However, the theoretical number of deaths reduced by eliminating physical inactivity compared with overall and abdominal obesity remains unclear.

          Objective: We examined whether overall and abdominal adiposity modified the association between PA and all-cause mortality and estimated the population attributable fraction (PAF) and the years of life gained for these exposures.

          Design: This was a cohort study in 334,161 European men and women. The mean follow-up time was 12.4 y, corresponding to 4,154,915 person-years. Height, weight, and waist circumference (WC) were measured in the clinic. PA was assessed with a validated self-report instrument. The combined associations between PA, BMI, and WC with mortality were examined with Cox proportional hazards models, stratified by center and age group, and adjusted for sex, education, smoking, and alcohol intake. Center-specific PAF associated with inactivity, body mass index (BMI; in kg/m 2) (>30), and WC (≥102 cm for men, ≥88 cm for women) were calculated and combined in random-effects meta-analysis. Life-tables analyses were used to estimate gains in life expectancy for the exposures.

          Results: Significant interactions (PA × BMI and PA × WC) were observed, so HRs were estimated within BMI and WC strata. The hazards of all-cause mortality were reduced by 16–30% in moderately inactive individuals compared with those categorized as inactive in different strata of BMI and WC. Avoiding all inactivity would theoretically reduce all-cause mortality by 7.35% (95% CI: 5.88%, 8.83%). Corresponding estimates for avoiding obesity (BMI >30) were 3.66% (95% CI: 2.30%, 5.01%). The estimates for avoiding high WC were similar to those for physical inactivity.

          Conclusion: The greatest reductions in mortality risk were observed between the 2 lowest activity groups across levels of general and abdominal adiposity, which suggests that efforts to encourage even small increases in activity in inactive individuals may be beneficial to public health.

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          Most cited references14

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          Physical Activity and Public Health: Updated Recommendation for Adults From the American College of Sports Medicine and the American Heart Association

          In 1995 the American College of Sports Medicine and the Centers for Disease Control and Prevention published national guidelines on Physical Activity and Public Health. The Committee on Exercise and Cardiac Rehabilitation of the American Heart Association endorsed and supported these recommendations. The purpose of the present report is to update and clarify the 1995 recommendations on the types and amounts of physical activity needed by healthy adults to improve and maintain health. Development of this document was by an expert panel of scientists, including physicians, epidemiologists, exercise scientists, and public health specialists. This panel reviewed advances in pertinent physiologic, epidemiologic, and clinical scientific data, including primary research articles and reviews published since the original recommendation was issued in 1995. Issues considered by the panel included new scientific evidence relating physical activity to health, physical activity recommendations by various organizations in the interim, and communications issues. Key points related to updating the physical activity recommendation were outlined and writing groups were formed. A draft manuscript was prepared and circulated for review to the expert panel as well as to outside experts. Comments were integrated into the final recommendation. To promote and maintain health, all healthy adults aged 18 to 65 yr need moderate-intensity aerobic (endurance) physical activity for a minimum of 30 min on five days each week or vigorous-intensity aerobic physical activity for a minimum of 20 min on three days each week. [I (A)] Combinations of moderate- and vigorous-intensity activity can be performed to meet this recommendation. [IIa (B)] For example, a person can meet the recommendation by walking briskly for 30 min twice during the week and then jogging for 20 min on two other days. Moderate-intensity aerobic activity, which is generally equivalent to a brisk walk and noticeably accelerates the heart rate, can be accumulated toward the 30-min minimum by performing bouts each lasting 10 or more minutes. [I (B)] Vigorous-intensity activity is exemplified by jogging, and causes rapid breathing and a substantial increase in heart rate. In addition, every adult should perform activities that maintain or increase muscular strength and endurance a minimum of two days each week. [IIa (A)] Because of the dose-response relation between physical activity and health, persons who wish to further improve their personal fitness, reduce their risk for chronic diseases and disabilities or prevent unhealthy weight gain may benefit by exceeding the minimum recommended amounts of physical activity. [I (A)]
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            Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.

            To assess the validity and repeatability of a simple index designed to rank participants according to their energy expenditure estimated by self-report, by comparison with objectively measured energy expenditure assessed by heart-rate monitoring with individual calibration. Energy expenditure was assessed over one year by four separate episodes of 4-day heart-rate monitoring, a method previously validated against whole-body calorimetry and doubly labelled water. Cardio-respiratory fitness was assessed by four repeated measures of sub-maximum oxygen uptake. At the end of the 12-month period, participants completed a physical activity questionnaire that assessed past-year activity. A simple four-level physical activity index was derived by combining occupational physical activity together with time participating in cycling and other physical exercise (such as keep fit, aerobics, swimming and jogging). One hundred and seventy-three randomly selected men and women aged 40 to 65 years. The repeatability of the physical activity index was high (weighted kappa=0.6, ). There were positive associations between the physical activity index from the questionnaire and the objective measures of the ratio of daytime energy expenditure to resting metabolic rate and cardio-respiratory fitness As an indirect test of validity, there was a positive association between the physical activity index and the ratio of energy intake, assessed by 7-day food diaries, to predicted basal metabolic rate. The summary index of physical activity derived from the questions used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study suggest it is useful for ranking participants in terms of their physical activity in large epidemiological studies. The index is simple and easy to comprehend, which may make it suitable for situations that require a concise, global index of activity.
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              Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men.

              Obesity is a strong risk factor for type 2 diabetes. However, few studies have compared the predictive power of overall obesity with that of central obesity. The cutoffs for waist circumference (WC) and waist-to-hip ratio (WHR) as measures of abdominal adiposity remain controversial. The objective was to compare body mass index (BMI), WC, and WHR in predicting type 2 diabetes. A prospective cohort study (Health Professionals Follow-Up Study) of 27 270 men was conducted. WC, WHR, and BMI were assessed at baseline. Covariates and potential confounders were assessed repeatedly during the follow-up. During 13 y of follow-up, we documented 884 incident type 2 diabetes cases. Age-adjusted relative risks (RRs) across quintiles of WC were 1.0, 2.0, 2.7, 5.0, and 12.0; those of WHR were 1.0, 2.1, 2.7, 3.6, and 6.9; and those of BMI were 1.0, 1.1, 1.8, 2.9, and 7.9 (P for trend /=24.8), WC (>/=94 cm), and WHR (>/=0.94) were 82.5%, 83.6%, and 74.1%, respectively. The corresponding proportions were 78.9%, 50.5%, and 65.7% according to the recommended cutoffs. Both overall and abdominal adiposity strongly and independently predict risk of type 2 diabetes. WC is a better predictor than is WHR. The currently recommended cutoff for WC of 102 cm for men may need to be reevaluated; a lower cutoff may be more appropriate.
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                Author and article information

                Journal
                Am J Clin Nutr
                Am. J. Clin. Nutr
                ajcn
                The American Journal of Clinical Nutrition
                American Society for Nutrition
                0002-9165
                1938-3207
                March 2015
                14 January 2015
                14 January 2015
                : 101
                : 3
                : 613-621
                Affiliations
                [1 ]From the Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, United Kingdom (UE, JL, SJS, SB, and NJW); the Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway (UE); Imperial College, London, United Kingdom (HAW, TN, PV, HBB-d-M, and ER; University Medical Centre Utrecht, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands (AMM, PHP, and EM); the Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway (EW); the Department of Research, Cancer Registry of Norway, Oslo, Norway (EW); the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (EW); Samfundet Folkhälsan, Helsinki, Finland (EW); the Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark (KO and JNØ); the Department of Cardiology, Center for Cardiovascular Research, Aalborg University Hospital, Aalborg, Denmark (KO and JNØ); Danish Cancer Society, Copenhagen, Denmark (A Tjønneland and NFJ); Inserm, Centre for Research in Epidemiology and Population Health, Nutrition, Hormones and Women’s Health team, Villejuif, France (SM, AF, and GF); the Univeristy of Paris Sud, UMRS 1018, Villejuif, France (SM, AF, and GF); IGR, Villejuif, France (SM, AF, and GF); WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece (A Trichopoulou and PL); Hellenic Health Foundation, Athens Greece (A Trichopoulou and DT); the Department of Epidemiology, Harvard School of Public Health, Boston, MA (PL and DT); the Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece (PL and DT); the Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany (KL and RK); International Agency for Research on Cancer (IARC), Lyon, France (PF, IL, and MJ); the Department of Epidemiology, Deutsches Institut für Ernährungsforschung, Potsdam-Rehbrücke, Germany (MB and HB); Molecular and Nutrional Epidemiology Unit, ISPO, Cancer Prevention and Research Institute, Florence, Italy (DP); Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy (SS); Dipartimento di Medicina Clinica e Chirurgia, Federico ii University, Naples, Italy (SP); UOS Registro Tumori e UOC Anatomia Patologica, Ospedale “Civile MP Arezzo” ASP 7, Ragusa, Italy (RT); HuGEF Foundation, Turin, Italy (PV); National Institute for Public Health and the Environment, Bilthoven, The Netherlands (HBB-d-M); the Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands (HBB-d-M); Public Health Directorate, Asturias, Spain (JRQ); Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Barcelona, Spain (AA); Andalusian School of Public Health, Granada, Spain (M-JS); CIBER de Epidemiología y Salud Pública (CIBERESP), Spain (M-JS, JMH, and EA); the Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain (JMH); Navarre Public Health Institute, Pamplona, Spain (EA); Public Health Division of Gipuzkoa, Instituto BIO-Donostia, Basque Government, CIBER Epidemiología y Salud Pública-CIBERESP, Spain (LA); Cardiovascular Epidemiology (BH) and Nutritional Epidemiology (EW), Department of Clinical Sciences, Lund University, Malmö, Sweden; the Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden (MS and MJ); Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom (TJK and RCT); and Clinical Gerontology Unit, University of Cambridge, Cambridge, United Kingdom (K-TK).
                Author notes
                [2]

                The EPIC is supported by grants from the European Commission: Public Health and Consumer Protection Directorate 1993–2004; Research Directorate-General 2005–present; Deutsche Krebshilfe; German Cancer Research Center; German Federal Ministry of Education and Research; Danish Cancer Society; Health Research Fund of the Spanish Ministry of Health (Network of Centers of Research in Epidemiology and Public Health C03/09); the Spanish Regional Governments of Andalucia, Asturias, Basque Country, Murcia, and Navarra; Cancer Research United Kingdom; Medical Research Council, United Kingdom; the Stroke Association, United Kingdom; British Heart Foundation; Department of Health, United Kingdom; Food Standards Agency, United Kingdom; the Wellcome Trust, United Kingdom; Greek Ministry of Health and Social Solidarity and Hellenic Health Foundation; Greek Ministry of Education; Italian Association for Research on Cancer; Dutch Ministry of Public Health, Welfare, and Sports; National Cancer Registry and the Regional Cancer Registries Amsterdam, East, and Maastricht of the Netherlands; World Cancer Research Fund; Statistics Netherlands; Swedish Cancer Society; Swedish Scientific Council; Regional Government of Skåne, Sweden; French League Against Cancer; the 3M Company; Mutuelle Generale de l’Education Nationale, France; Institut Gustave Roussy, France; and Institut National de la Sante et de la Recherche Medicale, France. UE, JL, SJS, SB, and NJW were funded by the MRC Epidemiology Unit Programmes (MC_UU_12015/1 and MC_UU_12015/4). This is an open access article distributed under the CC-BY license ( http://creativecommons.org/licenses/by/3.0/).

                [3]

                Supplemental Tables 1–7 are available from the “Supplemental data” link in the online posting of the article and from the same link in the online table of contents at http://ajcn.nutrition.org.

                [4]

                UE and HAW are joint first authors.

                [5]

                NJW and ER contributed equally to this work.

                [6 ]Address correspondence to U Ekelund, MRC Epidemiology Unit, University of Cambridge, Box 285, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom. E-mail: ulf.ekelund@ 123456mrc-epid.cam.ac.uk .
                Article
                100065
                10.3945/ajcn.114.100065
                4340064
                25733647
                /ajcn.nutrition.org/content/early/2015/01/14/ajcn.114.100065.full.pdf
                5cdf11ac-f847-4114-998f-92d31b158fec

                This is an open access article distributed under the CC-BY license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 24 September 2014
                : 12 December 2014
                Page count
                Pages: 9
                Categories
                Nutritional Epidemiology and Public Health

                Nutrition & Dietetics
                cohort study,epidemiology,obesity,physical activity,exercise,mortality,population attributable fraction

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