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      How to Tackle Key Challenges in the Promotion of Physical Activity among Older Adults (65+): The AEQUIPA Network Approach

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          Abstract

          The paper introduces the theoretical framework and methods/instruments used by the Physical Activity and Health Equity: Primary Prevention for Healthy Ageing (AEQUIPA) prevention research network as an interdisciplinary approach to tackle key challenges in the promotion of physical activity among older people (65+). Drawing on the social-ecological model, the AEQUIPA network developed an interdisciplinary methodological design including quantitative/qualitative studies and systematic reviews, while combining expertise from diverse fields: public health, psychology, urban planning, sports sciences, health technology and geriatrics. AEQUIPA tackles key challenges when promoting physical activity (PA) in older adults: tailoring of interventions, fostering community readiness and participation, strengthening intersectoral collaboration, using new technological devices and evaluating intervention generated inequalities. AEQUIPA aims to strengthen the evidence base for age-specific preventive PA interventions and to yield new insights into the explanatory power of individual and contextual factors. Currently, the empirical work is still underway. First experiences indicate that the network has achieved a strong regional linkage with communities, local stakeholders and individuals. However, involving inactive persons and individuals from minority groups remained challenging. A review of existing PA intervention studies among the elderly revealed the potential to assess equity effects. The results will add to the theoretical and methodological discussion on evidence-based age-specific PA interventions and will contribute to the discussion about European and national health targets.

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          Most cited references64

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          Role of built environments in physical activity, obesity, and cardiovascular disease.

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            Short form 36 (SF36) health survey questionnaire: normative data for adults of working age.

            To gain population norms for the short form 36 health survey questionnaire (SF36) in a large community sample and to explore the questionnaire's internal consistency and validity. Postal survey by using a booklet containing the SF36 and several other items concerned with lifestyles and illness. The sample was drawn from computerised registers of the family health services authorities for Berkshire, Buckinghamshire, Northamptonshire, and Oxfordshire. 13,042 randomly selected subjects aged 18-64 years. Scores for the eight health dimensions of the SF36. The survey achieved a response rate of 72% (n = 9332). Internal consistency of the different dimensions of the questionnaire was high. Normative data broken down by age, sex, and social class were consistent with those from previous studies. The SF36 is a potentially valuable tool in medical research. The normative data provided here may further facilitate its validation and use.
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              Mechanisms of health behavior change in persons with chronic illness or disability: the Health Action Process Approach (HAPA).

              The present article presents an overview of theoretical constructs and mechanisms of health behavior change that have been found useful in research on people with chronic illness and disability. A self-regulation framework (Health Action Process Approach) serves as a backdrop, making a distinction between goal setting and goal pursuit. Risk perception, outcome expectancies, and task self-efficacy are seen as predisposing factors in the goal-setting (motivational) phase, whereas planning, action control, and maintenance/recovery self-efficacy are regarded as being influential in the subsequent goal-pursuit (volitional) phase. The first phase leads to forming an intention, and the second to actual behavior change. Such a mediator model serves to explain social-cognitive processes in health behavior change. By adding a second layer, a moderator model is provided in which three stages are distinguished to segment the audience for tailored interventions. Identifying persons as preintenders, intenders, or actors offers an opportunity to match theory-based treatments to specific target groups. Numerous research and assessment examples, especially within the physical activity domain, serve to illustrate the application of the model to rehabilitation settings and health promotion for people with chronic illness or disability. The theoretical developments and research evidence for the self-regulation framework explain the cognitive mechanisms of behavior change and adherence to treatment in the rehabilitation setting.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                04 April 2017
                April 2017
                : 14
                : 4
                : 379
                Affiliations
                [1 ]Leibniz Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany; brand@ 123456leibniz-bips.de (T.B.); pischke@ 123456leibniz-bips.de (C.R.P.); zeeb@ 123456leibniz-bips.de (H.Z.)
                [2 ]Working Group Epidemiology of Demographic Change, Institute for Public Health und Nursing Research (IPP), Faculty for Human and Health Sciences, University of Bremen, 28359 Bremen, Germany; bammann@ 123456uni-bremen.de
                [3 ]Geriatrisches Zentrum, Universität Heidelberg, Agaplesion Bethanien-Krankenhaus, 69126 Heidelberg, Germany; juergen.bauer@ 123456bethanien-heidelberg.de
                [4 ]Media Informatics and Multimedia Systems, Department of Computing Science, Carl von Ossietzky University of Oldenburg, 26121 Oldenburg, Germany; Susanne.Boll@ 123456informatik.uni-oldenburg.de
                [5 ]Department of Social Epidemiology, Institute for Public Health and Nursing Research, University of Bremen, 28359 Bremen, Germany; gabriele.bolte@ 123456uni-bremen.de
                [6 ]Research Focus Health Sciences Bremen, University of Bremen, 28359 Bremen, Germany
                [7 ]Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, 26111 Oldenburg, Germany; andreas.hein@ 123456uni-oldenburg.de
                [8 ]Section Technology and Health for Humans, Jade University of Applied Sciences Oldenburg, 26121 Oldenburg, Germany; frauke.koppelin@ 123456jade-hs.de
                [9 ]Department of Psychology and Methods, Jacobs University Bremen, 28759 Bremen, Germany; s.lippke@ 123456jacobs-university.de
                [10 ]OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany; jochen.meyer@ 123456offis.de
                [11 ]Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, 09107 Chemnitz, Germany; claudia.voelcker-rehage@ 123456hsw.tu-chemnitz.de
                Author notes
                [* ]Correspondence: forberger@ 123456leibniz-bips.de ; Tel.: +49-(0)421-218-56900
                [†]

                AEQUIPA Consortium.

                Article
                ijerph-14-00379
                10.3390/ijerph14040379
                5409580
                28375177
                18154c2e-49db-4480-b0a0-143dc833067a
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 01 February 2017
                : 27 March 2017
                Categories
                Article

                Public health
                ageing,ageing research,older adults,physical activity
                Public health
                ageing, ageing research, older adults, physical activity

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