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Bauman A, Schranz N, Bellew W, Fisher G, Krumeich B, Crozier AJ. Evaluation of the 'A walk can work wonders' mass media campaign in South Australia. Health Promot J Austr 2025; 36:e923. [PMID: 39362827 PMCID: PMC11806409 DOI: 10.1002/hpja.923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 08/21/2024] [Accepted: 08/24/2024] [Indexed: 10/05/2024] Open
Abstract
ISSUE ADDRESSED Few population-wide efforts have targeted physical activity in Australia. Mass media campaigns are used to promote physical activity and walking, and World Health Organisation recommends their linkage to broader cross-government initiatives. This project evaluates a South Australian (SA) walking mass media campaign linked to the overall SA Walking Strategy. METHODS Between January and June 2022, Wellbeing SA (a SA government agency) conducted two waves of a mass media campaign, 'A walk can work wonders', to promote walking. The campaign was part of the SA Walking Strategy, targeting the goal to change the 'community culture towards recognising walking' as convenient, affordable and health-promoting. Evaluation was formative (pre-campaign), process (campaign implementation and delivery) and impact. Formative evaluation comprised concept and tagline testing with adult SAs to develop the campaign messages and theme. Process evaluation was comprised of media monitoring of social media, mainstream media and other media monitoring metrics. The process evaluation was dominated by social media marketing in Wave 1, with substantially more paid TV media and radio in Wave 2. The impact evaluation comprised two independent sample surveys of adult SAs (n = 800 each) following each wave of the campaign. Measures included generic and prompted campaign recall and attitudes to physical activity. An independent South Australian Population Health Survey (SAPHS) tracked walking and physical activity behaviours from 2021 to the end of 2022. RESULTS Process evaluation showed intensive social media usage in Wave 1, and through increased paid television and radio in Wave 2. Generic recall of any walking message (23.9%) and prompted recall of the specific campaign message (27.8%) reached most socio-demographic groups, especially those with chronic health problems. Increases in intention to increase activity and increased self-reported activity were seen between the campaign Wave 1 and Wave 2 notable as the Wave 2 increase followed substantial television advertising. The SAPHS data showed increased population walking following the campaign waves, compared to the same period in 2021. CONCLUSIONS Detailed and structured evaluation of a comprehensive mass media campaign showed good reach, and population changes in intentions and walking behaviour amongst SAs. SO WHAT?: It is likely that comprehensive approaches are needed to support mass media campaigns and amplify their effects. Serial, sustained campaigns are needed to monitor ongoing effects.
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Affiliation(s)
- Adrian Bauman
- Level 6, Charles Perkins Centre D17, School of Public HealthSydney UniversitySydneyNew South WalesAustralia
| | - Natasha Schranz
- Preventive Health SA (formerly Wellbeing SA)Government of South AustraliaAdelaideSouth AustraliaAustralia
| | - William Bellew
- Level 6, Charles Perkins Centre D17, School of Public HealthSydney UniversitySydneyNew South WalesAustralia
| | - Gabrielle Fisher
- Preventive Health SA (formerly Wellbeing SA)Government of South AustraliaAdelaideSouth AustraliaAustralia
| | - Benjamin Krumeich
- Preventive Health SA (formerly Wellbeing SA)Government of South AustraliaAdelaideSouth AustraliaAustralia
| | - Alyson J. Crozier
- Alliance for Research in Exercise, Nutrition and ActivityUniversity of South AustraliaAdelaideSouth AustraliaAustralia
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Castro O, Mair JL, Zheng S, Tan SYX, Jabir AI, Yan X, Chakraborty B, Tai ES, van Dam RM, von Wangenheim F, Fleisch E, Griva K, Kowatsch T, Müller-Riemenschneider F. The LvL UP trial: Protocol for a sequential, multiple assignment, randomised controlled trial to assess the effectiveness of a blended mobile lifestyle intervention. Contemp Clin Trials 2025; 150:107833. [PMID: 39900289 DOI: 10.1016/j.cct.2025.107833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Revised: 01/08/2025] [Accepted: 01/31/2025] [Indexed: 02/05/2025]
Abstract
BACKGROUND Blended mobile health (mHealth) interventions - combining self-guided and human support components - could play a major role in preventing non-communicable diseases (NCDs) and common mental disorders (CMDs). This protocol describes a sequential, multiple assignment, randomised trial aimed at (i) evaluating the effectiveness and cost-effectiveness of LvL UP, an mHealth lifestyle intervention for the prevention of NCDs and CMDs, and (ii) establishing the optimal blended approach in LvL UP that balances effective personalised lifestyle support with scalability. METHODS LvL UP is a 6-month mHealth holistic intervention targeting physical activity, diet, and emotional regulation. In this trial, young and middle-aged Singaporean adults at risk of developing NCDs or CMDs will be randomly allocated to one of two initial conditions ('LvL UP' or 'comparison'). After 4 weeks, participants categorised as non-responders from the LvL UP group will be re-randomised into second-stage conditions: (i) continuing with the initial intervention (LvL UP) or (ii) additional motivational interviewing (MI) support sessions by trained health coaches (LvL UP + adaptive MI). The primary outcome is mental well-being. Secondary outcomes include anthropometric measurements, resting blood pressure, blood metabolic profile, health status, and health behaviours (physical activity, diet). Outcomes will be measured at baseline, 6 months (post-intervention), and 12 months (follow-up). DISCUSSION In addition to evaluating the effectiveness of LvL UP, the proposed study design will contribute to increasing evidence on how to introduce human support in mHealth interventions to maximise their effectiveness while remaining scalable. TRIAL REGISTRATION The LvL UP Pilot trial was prospectively registered with ClinicalTrials.gov (NCT06360029).
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Affiliation(s)
- Oscar Castro
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.
| | - Jacqueline Louise Mair
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Shenglin Zheng
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Sarah Yi Xuan Tan
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Ahmad Ishqi Jabir
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Xiaoxi Yan
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore
| | - Bibhas Chakraborty
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore; Department of Statistics and Data Science, National University of Singapore, Singapore; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - E Shyong Tai
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - Florian von Wangenheim
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Elgar Fleisch
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland; Centre for Digital Health Interventions, Institute of Technology Management, University of St. Gallen, St. Gallen, Switzerland
| | - Konstadina Griva
- Office of Research, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Tobias Kowatsch
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland; Centre for Digital Health Interventions, Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland; Centre for Digital Health Interventions, School of Medicine, University of St. Gallen, St. Gallen, Switzerland
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Latijnhouwers DAJM, Hoogendoorn KG, Nelissen RGHH, Putter H, Vliet Vlieland TPM, Gademan MGJ. Adherence to the Dutch recommendation for physical activity: prior to and after primary total hip and knee arthroplasty. Disabil Rehabil 2024; 46:2862-2870. [PMID: 37496462 DOI: 10.1080/09638288.2023.2237409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 07/03/2023] [Accepted: 07/05/2023] [Indexed: 07/28/2023]
Abstract
PURPOSE To determine the course of adherence to physical activity (PA) recommendation in hip/knee osteoarthritis patients before and after hip/knee arthroplasty (THA/TKA). Moreover, we explored predictors for non-adherence 12 months postoperatively. MATERIALS AND METHODS Primary THA/TKA were included in a multicenter observational study. Preoperatively and 6/12 months postoperatively, patients reported engagement in moderate-intensity PA in days/week in the past 6 months (PA-recommendation (≥30 min of moderate-intensity ≥5 days/week)). We included predictors stratified by preoperative adherence: sex, age, BMI, comorbidities, smoking, living/working status, season, mental health, HOOS/KOOS subscales before and 6 months postoperatively, and 6-month adherence. RESULTS (1005 THA/972 TKA) Preoperatively, 50% of the population adhered. Adherence increased to 59% at 6 and 12 months. After 12 months, most patients remained at their preoperative PA level, 11% of the preoperative adherers decreased, while 20% of the preoperative non-adherers increased their PA level. In all different groups, adherence to the PA recommendation at 6 months was identified as a predictor (OR-range: 0.16-0.29). In addition, BMI was identified as predictor in the THA adherent (OR = 1.07; 95%CI [1.02-1.15]) and TKA non-adherent groups (OR = 1.08; 95%CI [1.03-1.12]). THA non-adherent group not having paid work (OR = 0.53; 95%CI [0.33-0.85]), and in the TKA adherent group, lower KOOS subscale symptoms (OR = 1.03; 95%CI [1.01-1.05]) were associated with non-adherence. CONCLUSIONS Majority of patients remained at their preoperative PA level. Non-adherence at 6 months was highly predictive for 12-month non-adherence.Implications for rehabilitationPhysical activity (PA) is crucial to decrease mortality risk, especially among patients suffering from osteoarthritis, as these patients have the potential to become more physically active after arthroplasty surgery.We found that physical function and pain improved, but 69% of the patients remained at their preoperative PA level, while 11% decreased and 20% increased their PA levels.Using this information shortly after surgery, orthopedic surgeons and other health care professionals can address patients at risk for decreased PA levels and provide PA advice.
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Affiliation(s)
| | | | - Rob G H H Nelissen
- Department of Orthopaedics, Leiden University Medical Center, Leiden, The Netherlands
| | - Hein Putter
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Thea P M Vliet Vlieland
- Department of Orthopedics, Rehabilitation and Physical Therapy, Leiden University Medical Center, Leiden, The Netherlands
| | - Maaike G J Gademan
- Department of Orthopaedics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
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Tcymbal A, Messing S, Mait R, Perez RG, Akter T, Rakovac I, Gelius P, Abu-Omar K. Validity, reliability, and readability of single-item and short physical activity questionnaires for use in surveillance: A systematic review. PLoS One 2024; 19:e0300003. [PMID: 38470871 PMCID: PMC10931432 DOI: 10.1371/journal.pone.0300003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Accurate and fast measurement of physical activity is important for surveillance. Even though many physical activity questionnaires (PAQ) are currently used in research, it is unclear which of them is the most reliable, valid, and easy to use. This systematic review aimed to identify existing brief PAQs, describe and compare their measurement properties, and assess their level of readability. METHODS We performed a systematic review based on the PRISMA statement. Literature searches were conducted in six scientific databases. Articles were included if they evaluated validity and/or reliability of brief (i.e., with a maximum of three questions) physical activity or exercise questionnaires intended for healthy adults. Due to the heterogeneity of studies, data were summarized narratively. The level of readability was calculated according to the Flesch-Kincaid formula. RESULTS In total, 35 articles published in English or Spanish were included, evaluating 32 distinct brief PAQs. The studies indicated moderate to good levels of reliability for the PAQs. However, the majority of results showed weak validity when validated against device-based measurements and demonstrated weak to moderate validity when validated against other PAQs. Most of the assessed PAQs met the criterion of being "short," allowing respondents to complete them in less than one minute either by themselves or with an interviewer. However, only 17 questionnaires had a readability level that indicates that the PAQ is easy to understand for the majority of the population. CONCLUSIONS This review identified a variety of brief PAQs, but most of them were evaluated in only a single study. Validity and reliability of short and long questionnaires are found to be at a comparable level, short PAQs can be recommended for use in surveillance systems. However, the methods used to assess measurement properties varied widely across studies, limiting the comparability between different PAQs and making it challenging to identify a single tool as the most suitable. None of the evaluated brief PAQs allowed for the measurement of whether a person fulfills current WHO physical activity guidelines. Future development or adaptation of PAQs should prioritize readability as an important factor to enhance their usability.
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Affiliation(s)
- Antonina Tcymbal
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Sven Messing
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Rachel Mait
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Roberto Galindo Perez
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Taiyeba Akter
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Ivo Rakovac
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Peter Gelius
- Institute of Sport Sciences, Université de Lausanne, Lausanne, Switzerland
| | - Karim Abu-Omar
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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Fagan MJ, Vanderloo LM, Banerjee A, Ferguson LJ, Lee EY, O'Reilly N, Rhodes RE, Spence JC, Tremblay MS, Faulkner G. Assessing Support for Policy Actions With Co-Benefits for Climate Change and Physical Activity in Canada. J Phys Act Health 2024; 21:256-265. [PMID: 38154019 DOI: 10.1123/jpah.2023-0617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/28/2023] [Accepted: 11/28/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Calls to action addressing the interconnections between physical (in)activity and the climate crisis are increasing. The current study aimed to investigate public support for policy actions that potentially have co-benefits for physical activity promotion and climate change mitigation. METHODS In 2023, a survey through the Angus Reid Forum was completed by 2507 adults living in Canada. Binary logistic regressions were conducted. Separate models were created to reflect support or opposition to the 8 included policy items. Several covariates were included in the models including age, gender, political orientation, physical activity levels, income, urbanicity climate anxiety, and attitudes surrounding physical activity and climate change. The data were weighted to reflect the gender, age, and regional composition of the country. RESULTS Most individuals living in Canada strongly or moderately supported all actions (ranging from 71% to 85%). Meeting the physical activity guidelines, higher self-reported income, and scoring high on personal experience of climate change were associated with higher odds of supporting the policy actions related to climate actions. CONCLUSIONS Most adults living in Canada support policies that align with the recommended policy actions related to physical activity and climate change. National campaigns enhancing awareness and understanding of the bidirectional relationship between physical activity and climate change are warranted, and these should consider the consistent demographic differences (eg, gender, age, and political orientation) seen in public support for physical activity-related policies.
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Affiliation(s)
- Matthew J Fagan
- School of Kinesiology, The University of British Columbia, Vancouver, BC, Canada
| | - Leigh M Vanderloo
- ParticipACTION, Toronto, ON, Canada
- School of Occupational Therapy, Western University, London, ON, Canada
| | - Ananya Banerjee
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Leah J Ferguson
- College of Kinesiology, University of Saskatchewan, Saskatoon, SK, Canada
| | - Eun-Young Lee
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Norman O'Reilly
- Graduate School of Business, The University of Maine, Orono, ME, USA
| | - Ryan E Rhodes
- Behavioural Medicine Laboratory, School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - John C Spence
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Mark S Tremblay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada
- Department of Pediatrics, University of Ottawa, Ottawa, ON, Canada
| | - Guy Faulkner
- School of Kinesiology, The University of British Columbia, Vancouver, BC, Canada
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6
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Fagan MJ, Vanderloo LM, Banerjee A, Ferguson LJ, Lee EY, O'Reilly N, Rhodes RE, Spence JC, Tremblay MS, Faulkner G. Re-assessing the social climate of physical (in)activity in Canada. BMC Public Health 2023; 23:2548. [PMID: 38124062 PMCID: PMC10734048 DOI: 10.1186/s12889-023-17436-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023] Open
Abstract
Social-ecological models suggest that a strategy for increasing population physical activity participation is to reconstruct the "social climate" through changing social norms and beliefs about physical activity (PA). In this study, we assessed whether the PA social climate in Canada has changed over a five-year period after controlling for sociodemographic factors and PA levels. Replicating a survey administered in 2018, a sample of adults in Canada (n = 2,507) completed an online survey assessing social climate dimensions, including but not limited to descriptive and injunctive norms. Descriptive statistics were calculated, and binary logistic regressions were conducted to assess the associations of sociodemographic factors and year of the survey with social climate dimensions. Results suggest some social climate constructs are trending in a positive direction between 2018 and 2023. Physical inactivity was considered a serious public health concern by 49% of respondents, second to unhealthy diets (52%). Compared to those who participated in the 2018 survey, participants in 2023 were less likely to see others walking or wheeling in their neighbourhood (OR = 1.58, 95% CI: 1.41, 1.78), but more likely to see people exercising (OR = 0.82, 95% CI: 0.73, 0.92) and kids playing in their neighbourhood (OR = 0.75, 95% CI: 0.66, 0.85). No changes were reported between 2018 and 2023 in individuals' perceptions of whether physical inactivity is due to individual versus external factors (OR = 0.99, 95% CI: 0.87, 1.13). The findings of this work indicate a modest positive shift in some measured components of the social climate surrounding PA although attributing causes for these changes remain speculative.
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Affiliation(s)
- Matthew James Fagan
- School of Kinesiology, University of British Columbia, Vancouver, BC, Canada
| | - Leigh M Vanderloo
- , ParticipACTION, 77 Bloor Street West, Suite 1205, Toronto, ON, Canada
- School of Occupational Therapy, Western University, London, ON, Canada
| | - Ananya Banerjee
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Leah J Ferguson
- College of Kinesiology, University of Saskatchewan, 87 Campus Drive, Saskatoon, SK, Canada
| | - Eun-Young Lee
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Norman O'Reilly
- Graduate School of Business, University of Maine, Orono, ME, USA
| | - Ryan E Rhodes
- Behavioural Medicine Laboratory, School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - John C Spence
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, 1-153 Van Vliet Complex, Edmonton, AB, Canada
| | - Mark S Tremblay
- Children's Hospital of Eastern Ontario Research Institute, 401 Smyth Road, Ottawa, ON, Canada
- Department of Pediatrics, University of Ottawa, 401 Smyth Road, Ottawa, ON, Canada
| | - Guy Faulkner
- School of Kinesiology, University of British Columbia, Vancouver, BC, Canada.
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