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Natalie Taylor

Bio: Natalie Taylor is an academic researcher from University of Sydney. The author has contributed to research in topics: Medicine & Patient safety. The author has an hindex of 23, co-authored 111 publications receiving 3795 citations. Previous affiliations of Natalie Taylor include Cancer Council New South Wales & Bradford Royal Infirmary.


Papers
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Journal ArticleDOI
TL;DR: In this article, a meta-analysis explored the efficacy of the theory of Planned Behaviour (TPB) dependent on behaviour and methodological moderators and found that behavioural type moderated the model; physical activity and diet behaviours were better predicted (23.9% and 21.2% variance explained, respectively).
Abstract: This meta-analysis explored the efficacy of the Theory of Planned Behaviour (TPB) dependent on behaviour and methodological moderators. A lack of hierarchical analysis in previous reviews risks confounding these moderators. Here moderating roles of behaviour type, length of follow-up, sample age and behavioural measure are explored hierarchically amongst prospective tests of the TPB, controlling for past behaviour where possible. Searching identified 237 prospective tests from 206 articles. Random-effects meta-analytic procedures were used to correcting correlations for sampling and measurement error. Behaviour type moderated the model; physical activity and diet behaviours were better predicted (23.9% and 21.2% variance explained, respectively) whilst risk, detection, safer sex and abstinence from drugs were poorly predicted (between 13.8 and 15.3% variance explained). Methodological moderators were also apparent: age of sample moderated relations with student samples better predicted for physical activi...

1,759 citations

Journal ArticleDOI
TL;DR: The RAA subcomponents have utility in predicting and understanding health behaviors, and all constructs except autonomy were significant independent predictors of intention in regressions.
Abstract: Background Reasoned action approach (RAA) includes subcomponents of attitude (experiential/instrumental), perceived norm (injunctive/descriptive), and perceived behavioral control (capacity/autonomy) to predict intention and behavior

457 citations

Journal ArticleDOI
TL;DR: Overall, worksite physical activity interventions were effective, but only produced small sized effects on physical activity.
Abstract: Background. Despite the potential importance of worksite physical activity interventions, reviews suggest there is currently a lack of clarity regarding their effectiveness. Aim. This meta-analysis assessed the effectiveness of worksite interventions designed to promote physical activity and investigate whether (1) interventions explicitly designed based on theory are more effective, and (2) inclusion of specific behaviour change techniques (BCTs) improves effectiveness. Methods. Worksite interventions with a primary aim of increasing physical activity were systematically reviewed. Designs were experimental or quasi-experimental and outcome measures were objective or validated self-report. Interventions were coded based on the extent to which theory/predictors were used to select/develop intervention techniques. A standardised theory-linked taxonomy of 26 BCTs was also used to code interventions. Effects of explicit use of theory, individual techniques and number of BCTs used were assessed using ...

192 citations

Journal ArticleDOI
TL;DR: Both AA and AAR are important predictors of health behaviors and can have independent effects on intentions and action, controlling for theory of planned behavior variables.
Abstract: Objective: Two measures of affect-affective attitude (AA) and anticipated affective reaction (AAR)- have frequently been used individually, but rarely simultaneously, in correlational studies predicting health behaviors. This research assessed their individual and combined impact in predicting intention and action for a range of health behaviors, controlling for theory of planned behavior (TPB) variables. Method: Self-reported intentions and performance of health behaviors were the main outcome measures. Design: Study 1 is a meta-analysis of published studies (k = 16) measuring the relevant variables. In Study 2, adults (N = 426) completed questionnaires assessing TPB variables, past behavior, AA, AAR, and subsequent behavior for a range of health behaviors. Results: Across both studies, AA and AAR were only moderately intercorrelated, although both had significant correlations with both intentions and behavior. AA was a significant predictor of intentions and behavior after controlling for TPB variables (Studies 1 and 2) plus past behavior (Study 2). In Study 1, AAR was a significant predictor of behavior, but not intentions, when controlling for TPB variables. In Study 2, AAR was a significant predictor of intentions when controlling for both TPB variables plus past behavior (Study 2), but was not a significant predictor of behavior when controlling for either of these variables. Several relationships were moderated by health-behavior category. Conclusions: Both AA and AAR are important predictors of health behaviors and can have independent effects on intentions and action. Studies manipulating both variables to test their independent and combined effects on behavior change are required.

175 citations

Journal ArticleDOI
TL;DR: Interventions that incorporated self-monitoring, provided feedback on performance, prompted review of behavioural goals, provided contingent rewards, or planned for social support/social change increased dietary self-efficacy significantly more than interventions that did not.
Abstract: Targeting individuals' beliefs that they are able to eat healthily can improve dietary-related behaviours. However, the most effective behaviour change techniques (BCTs) to promote dietary self-efficacy have not been systematically reviewed. This research addressed this gap. Studies testing the effect of interventions on healthy eating and underlying dietary-related self-efficacy, within randomised controlled trials, were systematically reviewed in MEDLINE, EMBASE and PSYCINFO. Two reviewers independently coded intervention content in both intervention and comparison groups. Data pertaining to study quality were also extracted. Random effects meta-analysis was used to calculate an overall effect size on dietary self-efficacy for each study. The associations between 26 BCTs and self-efficacy effects were calculated using meta-regression. In some of the analyses, interventions that incorporated self-monitoring (tracking one's own food-related behaviour), provided feedback on performance, prompted review of behavioural goals, provided contingent rewards (rewarding diet success), or planned for social support/social change increased dietary self-efficacy significantly more than interventions that did not. Stress management was consistently associated with self-efficacy effects across all analyses. There was strong evidence for stress management and weaker evidence for a number of other BCTs. The findings can be used to develop more effective, theory- and evidence-based behavioural interventions.

159 citations


Cited by
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Journal ArticleDOI
TL;DR: It is concluded that saturation should be operationalized in a way that is consistent with the research question(s), and the theoretical position and analytic framework adopted, but also that there should be some limit to its scope, so as to risk saturation losing its coherence and potency if its conceptualization and uses are stretched too widely.
Abstract: Saturation has attained widespread acceptance as a methodological principle in qualitative research. It is commonly taken to indicate that, on the basis of the data that have been collected or analysed hitherto, further data collection and/or analysis are unnecessary. However, there appears to be uncertainty as to how saturation should be conceptualized, and inconsistencies in its use. In this paper, we look to clarify the nature, purposes and uses of saturation, and in doing so add to theoretical debate on the role of saturation across different methodologies. We identify four distinct approaches to saturation, which differ in terms of the extent to which an inductive or a deductive logic is adopted, and the relative emphasis on data collection, data analysis, and theorizing. We explore the purposes saturation might serve in relation to these different approaches, and the implications for how and when saturation will be sought. In examining these issues, we highlight the uncertain logic underlying saturation—as essentially a predictive statement about the unobserved based on the observed, a judgement that, we argue, results in equivocation, and may in part explain the confusion surrounding its use. We conclude that saturation should be operationalized in a way that is consistent with the research question(s), and the theoretical position and analytic framework adopted, but also that there should be some limit to its scope, so as not to risk saturation losing its coherence and potency if its conceptualization and uses are stretched too widely.

4,750 citations

Journal ArticleDOI
TL;DR: Ajzen et al. as discussed by the authors discussed the nature of intentions and the limits of predictive validity, rationality, affect and emotions; past behaviour and habit; the prototype/willingness model; and the role of such background factors as the big five personality traits and social comparison tendency.
Abstract: The seven articles in this issue, and the accompanying meta-analysis in Health Psychology Review [McEachan, R.R.C., Conner, M., Taylor, N., & Lawton, R.J. (2011). Prospective prediction of health-related behaviors with the theory of planned behavior: A meta-analysis. Health Psychology Review, 5, 97–144], illustrate the wide application of the theory of planned behaviour [Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211] in the health domain. In this editorial, Ajzen reflects on some of the issues raised by the different authors. Among the topics addressed are the nature of intentions and the limits of predictive validity; rationality, affect and emotions; past behaviour and habit; the prototype/willingness model; and the role of such background factors as the big five personality traits and social comparison tendency.

2,902 citations

Book
01 Jan 1997
TL;DR: This new edition of Ann Bowling's well-known and highly respected text is a comprehensive, easy to read, guide to the range of methods used to study and evaluate health and health services.
Abstract: This new edition of Ann Bowling's well-known and highly respected text has been thoroughly revised and updated to reflect key methodological developments in health research. It is a comprehensive, easy to read, guide to the range of methods used to study and evaluate health and health services. It describes the concepts and methods used by the main disciplines involved in health research, including: demography, epidemiology, health economics, psychology and sociology.The research methods described cover the assessment of health needs, morbidity and mortality trends and rates, costing health services, sampling for survey research, cross-sectional and longitudinal survey design, experimental methods and techniques of group assignment, questionnaire design, interviewing techniques, coding and analysis of quantitative data, methods and analysis of qualitative observational studies, and types of unstructured interviewing. With new material on topics such as cluster randomization, utility analyses, patients' preferences, and perception of risk, the text is aimed at students and researchers of health and health services. It has also been designed for health professionals and policy makers who have responsibility for applying research findings in practice, and who need to know how to judge the value of that research.

2,602 citations

Journal ArticleDOI
TL;DR: The effectiveness of a range of interventions that include diet or physical activity components, or both, designed to prevent obesity in children is evaluated to determine overall certainty of the evidence.
Abstract: The current evidence suggests that many diet and exercise interventions to prevent obesity in children are not effective in preventing weight gain, but can be effective in promoting a healthy diet and increased physical activity levels.Being very overweight (obese) can cause health, psychological and social problems for children. Children who are obese are more likely to have weight and health problems as adults. Programmes designed to prevent obesity focus on modifying one or more of the factors considered to promote obesity.This review included 22 studies that tested a variety of intervention programmes, which involved increased physical activity and dietary changes, singly or in combination. Participants were under 18 and living in Asia, South America, Europe or North America. There is not enough evidence from trials to prove that any one particular programme can prevent obesity in children, although comprehensive strategies to address dietary and physical activity change, together with psycho-social support and environmental change may help. There was a trend for newer interventions to involve their respective communities and to include evaluations.Future research might usefully assess changes made on behalf of entire populations, such as improvements in the types of foods available at schools and in the availability of safe places to run and play, and should assess health effects and costs over several years.The programmes in this review used different strategies to prevent obesity so direct comparisons were difficult. Also, the duration of the studies ranged from 12 weeks to three years, but most lasted less than a year.

2,464 citations

Journal ArticleDOI
Frank L.J. Visseren, François Mach, Yvo M. Smulders, David Carballo, Konstantinos C. Koskinas, Maria Bäck, Athanase Benetos, Alessandro Biffi, José-Manuel Boavida1, Davide Capodanno, Bernard Cosyns, Carolyn Crawford, Constantinos H. Davos, Ileana Desormais, Emanuele Di Angelantonio, Oscar H. Franco, Sigrun Halvorsen, FD Richard Hobbs, Monika Hollander, Ewa A. Jankowska, Matthias Michal, Simona Sacco, Naveed Sattar, Lale Tokgozoglu, Serena Tonstad, Konstantinos P Tsioufis2, Ineke van Dis, Isabelle C. Van Gelder, Christoph Wanner3, Bryan Williams, Guy De Backer, Vera Regitz-Zagrosek, Anne Hege Aamodt, Magdy Abdelhamid, Victor Aboyans, Christian Albus, Riccardo Asteggiano, Magnus Bäck, Michael A. Borger, Carlos Brotons, Jelena Čelutkienė, Renata Cifkova, Maja Čikeš, Francesco Cosentino, Nikolaos Dagres, Tine De Backer, Dirk De Bacquer, Victoria Delgado, Hester Den Ruijter, Paul Dendale, Heinz Drexel, Volkmar Falk, Laurent Fauchier, Brian A. Ference, Jean Ferrières, Marc Ferrini4, Miles Fisher4, Danilo Fliser3, Zlatko Fras, Dan Gaita, Simona Giampaoli, Stephan Gielen, Ian D. Graham, Catriona Jennings, Torben Jørgensen, Alexandra Kautzky-Willer, Maryam Kavousi, Wolfgang Koenig, Aleksandra Konradi, Dipak Kotecha, Ulf Landmesser, Madalena Lettino, Basil S. Lewis, Aleš Linhart, Maja-Lisa Løchen1, Konstantinos Makrilakis1, Giuseppe Mancia2, Pedro Marques-Vidal, John W. McEvoy, Paul McGreavy, Béla Merkely, Lis Neubeck, Jens Cosedis Nielsen, Joep Perk, Steffen E. Petersen, Anna Sonia Petronio, Massimo F Piepoli, Nana Pogosova, Eva Prescott, Kausik K. Ray, Zeljko Reiner, Dimitrios J. Richter, Lars Rydén, Evgeny Shlyakhto, Marta Sitges, Miguel Sousa-Uva, Isabella Sudano, Monica Tiberi, Rhian M. Touyz, Andrea Ungar, W. M. Monique Verschuren, Olov Wiklund, David A. Wood, José Luis Zamorano, Carolyn A Crawford, Oscar H Franco Duran 

1,650 citations