Outcome evaluation of Active Herts: A community-based physical activity programme for inactive adults at risk of cardiovascular disease and/or low mental wellbeing

Angel M Chater, Joerg Schulz, Andy Jones, Amanda Burke, Shelby Carr, Dora Kukucska, Nick Troop, Daksha Trivedi, Neil Howlett, Angel M Chater, Joerg Schulz, Andy Jones, Amanda Burke, Shelby Carr, Dora Kukucska, Nick Troop, Daksha Trivedi, Neil Howlett

Abstract

Background: A high proportion of UK adults are inactive, which can lead to a range of physical and mental health concerns. Active Herts is a community-based physical activity programme for inactive adults at risk of cardiovascular disease and/or low mental wellbeing. This paper provides a pragmatic evaluation of this programme.

Method: This longitudinal study observed 717 adults (68% female, mean age = 56.9 years) from the "Active Herts" programme. Programme users were provided with a 45-min consultation with a "Get Active Specialist," who talked them through an Active Herts self-help booklet and then signposted them to free or subsidized local exercise sessions. Programme users were followed up with a booster call 2 weeks later. The Get Active Specialist was a registered exercise professional (REPS Level 3), with additional training from the study team in motivational interviewing, health coaching, COM-B behavioral diagnosis and delivery of behavior change techniques (BCTs) in practice. The Active Herts booklet contained theoretically-driven and evidence-based BCTs to translate behavioral science into public health practice. Physical activity (Metabolic Equivalent Time [METs], measured using the International Physical Activity Questionnaire (IPAQ), perceived health (EQ-5D-5L) and mental wellbeing (Warwick-Edinburgh Mental Wellbeing Scale: WEMWBS) were measured at baseline, 3, 6 and 12 months.

Results: At the end of the 12-month programme, users showed sustained improvements in physical activity (by +1331 METS), exceeding weekly recommendations. Sitting (reducing by over an hour per day), sporting participation, and perceptions of health were also improved, with improvements in mental wellbeing in the first 3 months.

Conclusion: Designing and delivering a community-based physical activity programme that is theoretically-driven and evidence-based with frequent behavior change training and supervision can yield a significant increase in self-reported physical activity, reduction in sitting behavior and improvements to perceived health and mental wellbeing. Future research should extend this approach, utilizing a real-world, pragmatic evaluation.

Trial registration: ClinicalTrials.gov, identifier (NCT number): NCT03153098.

Keywords: COM-B; behavior change intervention; cardiovascular risk; exercise; inactivity; mental wellbeing; motivational interviewing; physical activity.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2022 Chater, Schulz, Jones, Burke, Carr, Kukucska, Troop, Trivedi and Howlett.

Figures

Figure 1
Figure 1
Participant flowchart for referrals, programme enrolment, consultation, evaluation baseline questionnaire, and follow-up questionnaire completion.

References

    1. Public Health England. Physical Activity: Applying All Our Health. (2019). Available online at: (accessed March 12, 2022).
    1. World Health Organization. WHO Guidelines on Physical Activity and Sedentary Behaviour. (2020). Available online at: (accessed March 12, 2022).
    1. UK Government,. UK Chief Medical Officers' Physical Activity Guidelines. (2019). Available online at: (accessed March 12, 2022).
    1. Sport England. Active Lives Adult Survey . (2020). Available online at: (accessed March 12, 2022).
    1. Giles-Corti B, Donovan RJ. Socioeconomic status differences in recreational physical activity levels and real and perceived access to a supportive physical environment. Prev Med. (2002) 35:601–11. 10.1006/pmed.2002.1115
    1. Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, et al. . Sedentary behavior research network (SBRN)–terminology consensus project process and outcome. Int J Behav Nutr Phys Act. (2017) 14:1–7. 10.1186/s12966-017-0525-8
    1. Dempsey PC, Owen N, Yates TE, Kingwell BA, Dunstan DW. Sitting less and moving more: improved glycaemic control for type 2 diabetes prevention and management. Curr Diab Rep. (2016) 16:1–15. 10.1007/s11892-016-0797-4
    1. Health and Social Care Information Centre . Health Survey for England 2016: Physical Activity in Adults. Surrey: NHS Digital; (2017).
    1. Brierley ML, Chater AM, Smith LR, Bailey DP. The effectiveness of sedentary behaviour reduction workplace interventions on cardiometabolic risk markers: a systematic review. Sports Med. (2019) 49:1739–67. 10.1007/s40279-019-01168-9
    1. Wahid A, Manek N, Nichols M, Kelly P, Foster C, Webster P, et al. . Quantifying the association between physical activity and cardiovascular disease and diabetes: a systematic review and meta-analysis. J Am Heart Assoc. (2016) 5:e002495. 10.1161/JAHA.115.002495
    1. Buecker S, Simacek T, Ingwersen B, Terwiel S, Simonsmeier BA. Physical activity and subjective well-being in healthy individuals: a meta-analytic review. Health Psychol Rev. (2021) 15:574–92. 10.1080/17437199.2020.1760728
    1. Marconcin P, Werneck AO, Peralta M, Ihle A, Gouveia ÉR, Ferrari G, et al. . The association between physical activity and mental health during the first year of the COVID-19 pandemic: a systematic review. BMC Public Health. (2022) 22:1–4. 10.1186/s12889-022-12590-6
    1. Cassidy S, Chau JY, Catt M, Bauman A, Trenell MI. Cross-sectional study of diet, physical activity, television viewing and sleep duration in 233 110 adults from the UK Biobank; the behavioural phenotype of cardiovascular disease and type 2 diabetes. BMJ Open. (2016) 6:e010038. 10.1136/bmjopen-2015-010038
    1. Sport England. We Are Undefeatable . (2019). Available online at: (accessed June 14, 2020).
    1. Michie S, Van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. (2011) 6:1–12. 10.1186/1748-5908-6-42
    1. Michie S, Atkins L, West R. The Behaviour Change Wheel: A Guide to Designing Interventions. London: Silverback Publishing. (2014). Available online at: (accessed June 23, 2022).
    1. Howlett N, Schulz J, Trivedi D, Troop N, Chater A. A prospective study exploring the construct and predictive validity of the COM-B model for physical activity. J Health Psychol. (2019) 24:1378–91. 10.1177/1359105317739098
    1. Howlett N, Schulz J, Trivedi D, Troop N, Chater A. Determinants of weekly sitting time: construct validation of an initial COM-B model and comparison of its predictive validity with the theory of planned behaviour. Psychol Health. (2021) 36:96–114. 10.1080/08870446.2020.1763994
    1. Howlett N, Trivedi D, Troop NA, Chater AM. Are physical activity interventions for healthy inactive adults effective in promoting behavior change and maintenance, and which behavior change techniques are effective? A systematic review and meta-analysis. Transl Behav Med. (2019) 9:147–57. 10.1093/tbm/iby010
    1. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. . The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. (2013) 46:81–95. 10.1007/s12160-013-9486-6
    1. Chater A. Motivational Interviewing, Health Coaching and Behaviour Change. Enhancing Communication Skills for Effective Consultations. Training Manual. Bedfordshire: SEPIA Health; (2015).
    1. Chater AC. Seven steps to help patients overcome a ‘Fear of Finding Out - FOFO'. Nurs Stand. (2018) 33:24–5. Available online at: (accessed August 02, 2022).
    1. Miller WR, Rollnick S. Motivational Interviewing: Preparing People for Change. 2nd ed. New York, NY: The Guilford Press (2002). Available online at: (accessed August 02, 2022).
    1. Rubak S, Sandbæk A, Lauritzen T, Christensen B. Motivational interviewing: a systematic review and meta-analysis. Br J General Practice. (2005) 55:305–12.
    1. O'Halloran PD, Blackstock F, Shields N, Holland A, Iles R, Kingsley M, et al. . Motivational interviewing to increase physical activity in people with chronic health conditions: a systematic review and meta-analysis. Clin Rehabil. (2014) 28:1159–71. 10.1177/0269215514536210
    1. Whitmore J. Coaching for Performance: A Practical Guide to Growing Your Own Skills. London: Nicholas Brealey Publishing; (1992).
    1. Howlett N, Jones A, Chater A. Active Herts: Translating behavioural science into public health. Behav Sci Public Health. (2019) 1:29–39. Available online at: (accessed August 02, 2022).
    1. Carr S, Burke A, Chater AM, Howlett N, Jones A. An evolving model of best practice in a community physical activity program: a case study of “Active Herts”. J Phys Activity Health. (2021) 18:1555–62. 10.1123/jpah.2021-0078
    1. Hagger MS, Weed M. DEBATE. Do interventions based on behavioral theory work in the real world? Int J Behav Nutr Phys Act. (2019) 16:1–10. 10.1186/s12966-019-0795-4
    1. Howlett N, Jones A, Bain L, Chater A. How effective is community physical activity promotion in areas of deprivation for inactive adults with cardiovascular disease risk and/or mental health concerns? Study protocol for a pragmatic observational evaluation of the ‘Active Herts' physical activity programme. BMJ Open. (2017) 7:e017783.
    1. Des Jarlais DC, Lyles C, Crepaz N. Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. Am J Public Health. (2004) 94:361–6. 10.2105/ajph.94.3.361
    1. Local Government Association Website . Case Studies: Active Herts. (2019). Available online at: (accessed March 12, 2022).
    1. Active Herts Website . Active Herts. (2015). Available online at: (accessed March 12, 2022).
    1. Refer All . Refer All. (2021). Available online at: (accessed March 12, 2022).
    1. Chater A. Behavioural problems: The power of language: Why patient consultations often fail to change behaviour. In: Health and Behaviour Special Issue. London: The Brewery at Freuds; (2015). p. 68–71. Available online at: (accessed July 31, 2022).
    1. Rollnick S, Miller WR, Butler CC. Motivational Interviewing in Health Care. New York, NY: Guilford Press; (2008).
    1. Miller WR, Rollnick S. Motivational Interviewing: Helping People to Change. 3rd ed. New York, NY: Guilford Press; (2013).
    1. Chater AM. The power of language and emotion in specialist obesity services. Eur Health Psychologist. (2016) 18:184–8. Available online at: (accessed August 02, 2022).
    1. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. . International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exercise. (2003) 35:1381–95. 10.1249/01.MSS.0000078924.61453.FB
    1. International Physical Activity Questionnaire Website,. Guidelines for Data Processing an Analysis of the International Physical Activity Questionnaire (IPAQ). (2005). Available online at: (accessed March 12, 2022).
    1. Tennant R, Hiller L, Fishwick R, Platt S, Joseph S, Weich S, et al. . The Warwick-Edinburgh mental well-being scale (WEMWBS): development and UK validation. Health Qual Life Outcomes. (2007) 5:1–13. 10.1186/1477-7525-5-63
    1. Rabin R, Charro FD. EQ-SD a measure of health status from the EuroQol Group. Ann Med. (2001) 33:337–43. 10.3109/07853890109002087
    1. Cumming G, Finch S. Inference by eye: confidence intervals and how to read pictures of data. Am Psychologist. (2005) 60:170. 10.1037/0003-066X.60.2.170
    1. Kline RB. Beyond Significance Testing. Reforming Data Analysis Methods in Behavioural Research. 2nd ed. Washington, DC: American Psychological Association; (2013).
    1. Wilcox R. Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction. Boca Raton, FL: Chapman and Hall/CRC; (2017).
    1. Algina J, Keselman HJ, Penfield RD. An alternative to Cohen's standardized mean difference effect size: a robust parameter and confidence interval in the two independent groups case. Psychol Methods. (2005) 10:317. 10.1037/1082-989X.10.3.317
    1. Shadish W, Cook TD, Campbell DT. Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston, MA: Houghton Mifflin; (2002).
    1. Bailey DP, Locke CD. Breaking up prolonged sitting with light-intensity walking improves postprandial glycemia, but breaking up sitting with standing does not. J Sci Med Sport. (2015) 18:294–8. 10.1016/j.jsams.2014.03.008
    1. Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the international physical activity questionnaire short form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. (2011) 8:1–1. 10.1186/1479-5868-8-115
    1. Whitmore J. Coaching for Performance. The Principles and Practice of Coaching and Leadership. 5th ed. London: Nicholas Brealey Publishing; (2017).
    1. Persson G, Brorsson A, Ekvall Hansson E, Troein M, Strandberg EL. Physical activity on prescription (PAP) from the general practitioner's perspective–a qualitative study. BMC Fam Pract. (2013) 14:1–8. 10.1186/1471-2296-14-128

Source: PubMed

3
購読する