A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy

2011 ◽  
Vol 26 (11) ◽  
pp. 1479-1498 ◽  
Author(s):  
Susan Michie ◽  
Stefanie Ashford ◽  
Falko F. Sniehotta ◽  
Stephan U. Dombrowski ◽  
Alex Bishop ◽  
...  
Keyword(s):  
Physical Activity ◽  
Behaviour Change ◽  
Healthy Eating ◽  
Behaviour Change Techniques ◽  
Eating Behaviours

scholarly journals Quantifying Canadians' use of the Internet as a source of information on behavioural risk factor modifications related to cancer prevention

2013 ◽  
Vol 33 (3) ◽  
pp. 123-128 ◽  
Author(s):  
CG Richardson ◽  
LG Hamadani ◽  
C Gotay
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Cancer Prevention ◽  
Behaviour Change ◽  
Healthy Eating ◽  
The Internet ◽  
Quit Smoking ◽  
Key Stakeholders ◽  
Internet Searches ◽  
Use Of The Internet

Introduction The purpose of this study was to quantify the frequency and timing of Canadians' Internet searches for information on modifying cancer prevention-related behavioural risk factors. Methods We used the Google AdWords Keyword tool to estimate the number of Internet searches in Canada from July 2010 to May 2011 for content associated with the keywords "physical activity / exercise", "healthy eating / weight loss" and "quit smoking". Results For ''physical activity / exercise,'' 663 related keywords resulted in 117 951 699 searches. For ''healthy eating / weight loss,'' 687 related search terms yielded 98 277 954 searches. ''Quit smoking'' was associated with 759 related keywords with 31 688 973 searches. All search patterns noticeably peaked in January 2011. Conclusion Many Canadians are actively searching for information on the Internet to support health behaviour change associated with cancer prevention, especially during the month of January. To take advantage of this opportunity, key stakeholders in cancer prevention need to identify knowledge translation priorities and work with health agencies to develop evidence-based strategies to support Internet-facilitated behaviour change.

scholarly journals Healthy Eating and Active Lifestyle After Bowel Cancer (HEAL ABC): feasibility randomised controlled trial protocol

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jana Sremanakova ◽  
Anne Marie Sowerbutts ◽  
Chris Todd ◽  
Richard Cooke ◽  
Sorrel Burden
Keyword(s):  
Physical Activity ◽  
Colorectal Cancer ◽  
Randomised Controlled Trial ◽  
Behaviour Change ◽  
Healthy Eating ◽  
Controlled Trial ◽  
Bowel Cancer ◽  
Active Lifestyle ◽  
Feasibility Randomised Controlled Trial ◽  
Randomised Controlled

Abstract Background Targeting modifiable lifestyle factors including diet and physical activity represents a potentially cost-effective strategy that could support a growing population of colorectal cancer survivors and improve their health outcomes. Currently, effective, evidence-based interventions and resources helping people after bowel cancer to adopt new lifestyle habits are lacking. The aim of this trial is to test the Healthy Eating and Active Lifestyle After Bowel Cancer (HEAL-ABC) intervention to inform a future definitive randomised controlled trial. Methods/design This is a feasibility randomised controlled trial. A total of 72 survivors who have completed surgery and all anticancer treatments will be recruited. The intervention group will receive HEAL-ABC resources based on behaviour change theory combined with supportive telephone calls informed by motivational interviewing every 2 weeks during the 3-month intervention, and once a month for 6 months to follow-up. Participants in the control group will follow usual care and have access to resources available in the public domain. The study is testing feasibility of the intervention including adherence and ability to collect data on anthropometry, body composition, diet, physical activity, behaviour change, quality of life, blood markers, contact with healthcare services, morbidities and overall survival. Discussion The proposed study will add to the evidence base by addressing an area where there is a paucity of data. This study on lifestyle interventions for people after colorectal cancer follows the Medical Research Council guidance on evaluating complex interventions in clinical practice. It focuses on people living after treatment for colorectal cancer and targets an important research area identified by cancer survivors as a research priority reported by the National Cancer Institute and James Lind Alliance UK. Trial registration ClinicalTrials.gov NCT04227353 approved on the 13th of January 2020

scholarly journals A modified Delphi study to gain consensus for a taxonomy to report and classify physical activity referral schemes (PARS)

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Coral L. Hanson ◽  
Emily J. Oliver ◽  
Caroline J. Dodd-Reynolds ◽  
Alice Pearsons ◽  
Paul Kelly
Keyword(s):  
Physical Activity ◽  
Behaviour Change ◽  
Delphi Study ◽  
Policy Research ◽  
Monitoring And Evaluation ◽  
Health Improvement ◽  
Behaviour Change Techniques ◽  
Policy And Practice ◽  
Modified Delphi ◽  
The Uk

Abstract Background Physical Activity Referral Schemes (PARS), including exercise referral schemes, are a popular approach to health improvement, but understanding of effectiveness is limited by considerable heterogeneity in reporting and evaluation. We aimed to gain consensus for a PARS taxonomy as a comprehensive method for reporting and recording of such schemes. Methods We invited 62 experts from PARS policy, research and practice to complete a modified Delphi study. In round one, participants rated the need for a PARS taxonomy, the suitability of three proposed classification levels and commented on proposed elements. In round two, participants rated proposed taxonomy elements on an 11-point Likert scale. Elements scoring a median of ≥7, indicating high agreement, were included in the final taxonomy. Results Of those invited, 47 (75.8%) participated in round one, with high retention in round two (n = 43; 91.5%). 42 were UK-based, meaning the resultant taxonomy has been scrutinised for fit to the UK context only. The study gained consensus for a three-level taxonomy: Level 1: PARS classification (primary classification, provider, setting, conditions accepted [have or at risk of], activity type and funding). Level 2: scheme characteristics (staff structure, staff qualifications, behaviour change theories, behaviour change techniques, referral source, referrers, referral process, scheme duration, session frequency, session length, session times, session type, exit routes, action in case of non-attendance, baseline assessment, exit assessment, feedback to referrer and exclusion criteria) and Level 3: participant measures (demographics, monitoring and evaluation, and measures of change). Conclusion Using a modified Delphi method, this study developed UK-based consensus on a PARS classification taxonomy. We encourage PARS practitioners and public health colleagues, especially those working with similar service models internationally, to test, refine and use this taxonomy to inform policy and practice.

scholarly journals Mediators of Lifestyle Behaviour Changes in Obese Pregnant Women. Secondary Analyses from the DALI Lifestyle Randomised Controlled Trial

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 311 ◽  
Author(s):  
Mireille NM van Poppel ◽  
Judith G.M. Jelsma ◽  
David Simmons
Keyword(s):  
Physical Activity ◽  
Behaviour Change ◽  
Healthy Eating ◽  
Self Efficacy ◽  
Perceived Risk ◽  
Controlled Trial ◽  
Outcome Expectancy ◽  
Care Group ◽  
Lifestyle Behaviour ◽  
Intervention Effects

A better understanding of what drives behaviour change in obese pregnant overweight women is needed to improve the effectiveness of lifestyle interventions in this group at risk for gestational diabetes (GDM). Therefore, we assessed which factors mediated behaviour change in the Vitamin D and Lifestyle Intervention for GDM Prevention (DALI) Lifestyle Study. A total of 436 women, with pre-pregnancy body mass index ≥29 kg/m2, ≤19 + 6 weeks of gestation and without GDM, were randomised for counselling based on motivational interviewing (MI) on healthy eating and physical activity, healthy eating alone, physical activity alone, or to a usual care group. Lifestyle was measured at baseline, and at 24–28 and 35–37 weeks of gestation. Outcome expectancy, risk perception, task self-efficacy and social support were measured at those same time points and considered as possible mediators of intervention effects on lifestyle. All three interventions resulted in increased positive outcome expectancy for GDM reduction, perceived risk to the baby and increased task self-efficacy. The latter mediated intervention effects on physical activity and reduced sugared drink consumption. In conclusion, our MI intervention was successful in increasing task self-efficacy, which was related to improved health behaviours.

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