{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T16:41:31Z","timestamp":1787848891488,"version":"build-2784847793"},"reference-count":40,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2013,3,11]],"date-time":"2013-03-11T00:00:00Z","timestamp":1362960000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["British J Health Psychol"],"published-print":{"date-parts":[[2013,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>\n                      The physical activity (\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      ) intention\u2013behaviour gap is a topic of considerable contemporary research, given that most of our models used to understand physical activity suggest that intention is the proximal antecedent of behavioural enactment. The purpose of this study was to quantify the intention\u2013\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      gap at public health guidelines with a meta\u2010analysis of the action control framework.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Systematic review and meta\u2010analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Literature searches were conducted in July 2012 among five key search engines. This search yielded a total of 2,865 potentially relevant records; of these, 10 studies fulfilled the full eligibility criteria (\n                      <jats:italic>N<\/jats:italic>\n                      \u00a0=\u00a03,899).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Random\u2010effects meta\u2010analysis procedures with correction for sampling bias were employed in the analysis for estimates of non\u2010intenders who subsequently did not engage in physical activity (21%), non\u2010intenders who subsequently performed physical activity (2%), intenders who were not successful at following through with their\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      (36%), and successful intenders (42%). The overall intention\u2013\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      gap was 46%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      These results emphasize the weakness in early intention models for understanding\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      and suggest this would be a problem during intervention. Contemporary research that is validating and exploring additional constructs (e.g., self\u2010regulation, automaticity) that augment intention or improving the measurement of motivation seems warranted.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Statement of contribution<\/jats:title>\n                    <jats:p>\n                      <jats:italic>\n                        <jats:bold>What is already known on this subject?<\/jats:bold>\n                      <\/jats:italic>\n                      Intention is considered the proximal antecedent of behaviour in many popular models. Intention is also an established correlate of physical activity behaviour, yet discordance is considerable in experimental research.\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:italic>\n                        <jats:bold>What does this study add?<\/jats:bold>\n                      <\/jats:italic>\n                      This meta\u2010analysis of studies that have assessed concordance\/discordance of physical activity intention and behaviour at public health guidelines shows the intention\u2013behaviour gap at 48% and the discordance is from intenders who do not act. The results demonstrate that discordance is not just from extreme levels of intention or behaviour (e.g., intend to exercise six times but only exercise five), but from levels that are relevant to health promotion.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/bjhp.12032","type":"journal-article","created":{"date-parts":[[2013,3,13]],"date-time":"2013-03-13T01:21:02Z","timestamp":1363137662000},"page":"296-309","source":"Crossref","is-referenced-by-count":585,"title":["How big is the physical activity intention\u2013behaviour gap? 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