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      Trajectories of physical activity from midlife to old age and associations with subsequent cardiovascular disease and all-cause mortality

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          Abstract

          Introduction

          It is well established that physical activity (PA) protects against mortality and morbidity, but how long-term patterns of PA are associated with mortality and cardiovascular disease (CVD) remains unclear.

          Methods

          3231 men recruited to the British Regional Heart Study, a prospective cohort study, reported usual PA levels at baseline in 1978–1980 (aged 40–59 years) and at 12-year, 16-year and 20-year follow ups. Twenty-year trajectories of PA, spanning from 1978/1980 to 2000, were identified using group-based trajectory modelling. Men were subsequently followed up until 30 June 2016 for mortality through National Health Service central registers and for non-fatal CVD events through primary and secondary care records. Data analyses were conducted in 2019.

          Results

          Three PA trajectories were identified: low/decreasing (22.7%), light/stable (51.0%) and moderate/increasing (26.3%). Over a median follow-up of 16.4 years, there were 1735 deaths. Compared with the low/decreasing group, membership of the light/stable (HR 0.83, 95% CI 0.74 to 0.94) and moderate/increasing (HR 0.76, 95% CI 0.66 to 0.88) groups was associated with a lower risk of all-cause mortality. Similar associations were observed for CVD mortality, major coronary heart disease and all CVD events. Associations were only partially explained by a range of confounders. Sensitivity analyses suggested that survival benefits were largely driven by most recent/current PA.

          Conclusions

          A dose-response relationship was observed, with higher levels of PA from midlife to old age associated with additional benefits. However, even fairly modest and sustained PA was protective and may be more achievable for the most inactive.

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          Most cited references50

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          Group-based trajectory modeling in clinical research.

          Group-based trajectory models are increasingly being applied in clinical research to map the developmental course of symptoms and assess heterogeneity in response to clinical interventions. In this review, we provide a nontechnical overview of group-based trajectory and growth mixture modeling alongside a sampling of how these models have been applied in clinical research. We discuss the challenges associated with the application of both types of group-based models and propose a set of preliminary guidelines for applied researchers to follow when reporting model results. Future directions in group-based modeling applications are discussed, including the use of trajectory models to facilitate causal inference when random assignment to treatment condition is not possible.
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            Life course epidemiology.

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              Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms.

              Higher levels of physical activity are associated with fewer cardiovascular disease (CVD) events. Although the precise mechanisms underlying this inverse association are unclear, differences in several cardiovascular risk factors may mediate this effect. In a prospective study of 27,055 apparently healthy women, we measured baseline levels of hemoglobin A1c, traditional lipids (total, low-density lipoprotein, and high-density lipoprotein cholesterol), novel lipids [lipoprotein(a) and apolipoprotein A1 and B-100], creatinine, homocysteine, and inflammatory/hemostatic biomarkers (high-sensitivity C-reactive protein, fibrinogen, soluble intracellular adhesion molecule-1) and used women's self-reported physical activity, weight, height, hypertension, and diabetes. Mean follow-up was 10.9+/-1.6 years, and 979 incident CVD events occurred. The risk of CVD decreased linearly with higher levels of activity (P for linear trend or = 1500 kcal/wk of 27%, 32%, and 41%, respectively. Differences in known risk factors explained a large proportion (59.0%) of the observed inverse association. When sets of risk factors were examined, inflammatory/hemostatic biomarkers made the largest contribution to lower risk (32.6%), followed by blood pressure (27.1%). Novel lipids contributed less to CVD risk reduction compared with traditional lipids (15.5% and 19.1%, respectively). Smaller contributions were attributed to body mass index (10.1%) and hemoglobin A1c/diabetes (8.9%), whereas homocysteine and creatinine had negligible effects (< 1%). The inverse association between physical activity and CVD risk is mediated in substantial part by known risk factors, particularly inflammatory/hemostatic factors and blood pressure.
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                Author and article information

                Journal
                J Epidemiol Community Health
                J Epidemiol Community Health
                jech
                jech
                Journal of Epidemiology and Community Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0143-005X
                1470-2738
                February 2020
                8 November 2019
                : 74
                : 2
                : 130-136
                Affiliations
                [1 ] departmentPrimary Care and Population Health , University College London , London, UK
                [2 ] departmentDepartment of Psychology & Human Development , University College London , London, UK
                [3 ] departmentPopulation Health Research Institute , St George’s University of London , London, UK
                Author notes
                [Correspondence to ] Daniel Aggio, Primary Care and Population Health, University College London, London NW3 2PF, UK; d.aggio@ 123456ucl.ac.uk
                Author information
                http://orcid.org/0000-0001-6752-0180
                Article
                jech-2019-212706
                10.1136/jech-2019-212706
                6993021
                31704805
                0e602a33-7bf3-4526-8162-8fe28e2c2417
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

                History
                : 23 May 2019
                : 09 August 2019
                : 19 October 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award ID: 2010–03–023
                Funded by: FundRef http://dx.doi.org/10.13039/501100000274, British Heart Foundation;
                Award ID: FS/15/70/32044
                Award ID: PG/13/86/30546
                Award ID: RG/13/16/30528
                Categories
                Original Research
                1506
                Custom metadata
                unlocked

                Public health
                ageing,cardiovascular disease,chd/coronorary heart,life course epidemiology,physical activity

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