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Xu L, Zhao T, Perry L, Frost SA, Di Tanna GL, Wang S, Chen M, Kolt GS, Jan S, Si L. Return on investment of fracture liaison services: a systematic review and analysis. Osteoporos Int 2024:10.1007/s00198-024-07027-2. [PMID: 38300316 DOI: 10.1007/s00198-024-07027-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 01/12/2024] [Indexed: 02/02/2024]
Abstract
Fracture liaison services (FLS) have been proven clinically effective and cost-effective in preventing subsequent fractures among patients with an existing fragility fracture. Little is known about their monetary benefits such as their return on investment (ROI). This systematic review aimed to investigate the ROI of FLS and identify the FLS characteristics with better ROI. Studies on the cost-effectiveness of FLS published between January 2000 and December 2022 were searched from MEDLINE, EMBASE, PubMed, and Cochrane Central. Two independent reviewers conducted study selection and data extraction. ROI was calculated based on the difference between monetary benefits and FLS costs divided by the FLS costs. Subgroup analysis of ROI was performed across FLS types and FLS design details. A total of 23 FLS were included in this review. The majority of them were targeting patients aged over 50 years having fractures without identified sites. The mean ROI of these FLS was 10.49 (with a median ROI of 7.57), and 86.96% of FLS had positive ROI. FLS making treatment recommendations yielded the highest ROI (with a mean ROI of 18.39 and a median of 13.60). Incorporating primary care providers (with a mean ROI of 16.04 and a median of 13.20) or having them as program leaders (with a mean ROI of 12.07 and a median of 12.07) has demonstrated a high ROI. FLS for specific fracture sites had great monetary return. Intensive FLS such as type A and B FLS programs had higher ROI than non-intensive type C and D FLS. This review revealed a 10.49-fold monetary return of FLS. Identified characteristics contributing to greater economic return informed value-for-money FLS designs. Findings highlight the importance of FLS and the feasibility of expanding their contribution in mitigating the economic burden of osteoporotic fracture and are conducive to the promotion of FLS internationally.
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Affiliation(s)
- L Xu
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
| | - T Zhao
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - L Perry
- Faculty of Health, University of Technology Sydney, Ultimo, New South Wales, Australia
- South Eastern Sydney Local Health District, Randwick, New South Wales, Australia
| | - S A Frost
- University of Wollongong and South Western Sydney Local Health District, Wollongong, New South Wales, Australia
| | - G L Di Tanna
- Department of Business Economics, Health & Social Care, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland
| | - S Wang
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
| | - M Chen
- School of Health Policy and Management, Nanjing Medical University, No. 101, Longmian Avenue, Nanjing, 211166, China.
| | - G S Kolt
- School of Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia
| | - S Jan
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
| | - L Si
- School of Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia
- Translational Health Research Institute, Western Sydney University, Penrith, New South Wales, Australia
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Guagliano JM, Hliounakis H, El Masri A, Kolt GS, George ES. Determining priority areas for health promotion amongst Australian professional sporting organisations. J Sci Med Sport 2024; 27:30-36. [PMID: 37923649 DOI: 10.1016/j.jsams.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 10/15/2023] [Accepted: 10/16/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVES Professional sporting organisations (PSOs) are well-positioned to promote health through their reach and standing within communities. However, the health promotion (HP) priority areas of interest of PSOs are unknown. The objectives of this study were to: identify HP priority areas amongst Australian PSOs and explore the development, implementation, and evaluation of HP programming within the identified priority areas. DESIGN Delphi procedure with qualitative interviews. METHODS Participants were community-focussed employees from PSOs across Australia. To identify HP priory areas, three rounds of surveys were used in a Delphi procedure. Participants were then invited to participate in semi-structured interviews focussed on the development, implementation, and evaluation of HP programmes. RESULTS Of the 103 community employees invited to participate in the Delphi, 28 participated in at least one round and 16 completed all rounds. Overall, HP priorities fell under five main areas: access/participation in sport; general HP; physical activity promotion; community, culture, and inclusion; and support for HP initiatives. Eleven interviews were conducted, and central themes included needing support with programme design and evaluation, and the need to build employee capacity and greater inter-organisational collaboration. CONCLUSIONS This study determined HP priority areas amongst PSOs using a consensus-generating approach. Interview findings demonstrated that community-focussed employees are committed to delivering HP programmes, but encounter difficulty with funding, employee capacity, and programme design and evaluation expertise. The findings from these interviews reveal potential avenues of collaboration between organisations that can provide expertise in design and evaluation and sporting organisations for HP programming.
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Affiliation(s)
- Justin M Guagliano
- School of Health Sciences, Western Sydney University, Australia; Translational Health Research Institute, Western Sydney University, Australia.
| | | | - Aymen El Masri
- School of Health Sciences, Western Sydney University, Australia; Translational Health Research Institute, Western Sydney University, Australia
| | - Gregory S Kolt
- School of Health Sciences, Western Sydney University, Australia
| | - Emma S George
- School of Health Sciences, Western Sydney University, Australia; Translational Health Research Institute, Western Sydney University, Australia
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Buckland C, Hector D, Kolt GS, Thepsourinthone J, Arora A. Experiences of young Australian mothers with infant feeding. BMC Pregnancy Childbirth 2022; 22:489. [PMID: 35705921 PMCID: PMC9199343 DOI: 10.1186/s12884-022-04796-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 05/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Despite the overwhelming evidence of health and other benefits of breastfeeding and recommendations to breastfeed by peak health bodies, breastfeeding rates are significantly lower than recommended in Australia and globally. Young mothers are identified as being at high risk of not breastfeeding their infants according to infant feeding recommendations. This study aimed to gain an in-depth understanding of young Australian mothers' experiences of infant feeding, and to explore the factors which facilitated or hindered adherence to recommended breastfeeding practices. METHODS Purposive and snowball sampling were used to recruit young mothers in Australia (n = 17) aged 18-25 years who had given birth to their first child within the last two years. Data were collected through semi-structured interviews via online videoconferencing. Interviews were audio-recorded, transcribed verbatim, coded, and subsequently analysed. Thematic analysis was conducted using Quirkos, a qualitative data management and analysis software. RESULTS Four major themes were identified: Breastfeeding is challenging; Feeling judged about infant feeding choices; Experiences with breastfeeding support; and Experiences and views on breastfeeding education. Most mothers reported experiencing breastfeeding challenges, particularly those arising from lactation difficulties, yet many were able to overcome these challenges through their determination to breastfeed. Many mothers expressed perceiving judgement from others for breastfeeding in public. Some mothers who were bottle feeding their infants, whether with expressed breast milk or infant formula, felt that they were being judged for using a bottle. Many mothers reported professional, partner, family, and peer support as critical facilitators to the continuation of breastfeeding. Most mothers shared positive experiences of attending breastfeeding education sessions, but indicated the need for community education to reduce judgement toward mothers' infant feeding decisions. CONCLUSIONS The barriers and enablers to infant feeding experienced by young mothers are similar to those experienced by mothers of all ages. Young mothers experience significant breastfeeding challenges and need support from partner, family, peers, and professionals to continue breastfeeding in line with recommendations. Breastfeeding campaigns to support young mothers should be aimed at the wider community to increase awareness of breastfeeding challenges, reduce stigma associated with breastfeeding in public, and to support mothers in their infant feeding decisions.
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Affiliation(s)
- Christa Buckland
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia. .,Health Equity Laboratory, Campbelltown, NSW, 2560, Australia.
| | - Debra Hector
- Cancer Australia, Surry Hills, NSW, 2010, Australia
| | - Gregory S Kolt
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Jack Thepsourinthone
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.,Health Equity Laboratory, Campbelltown, NSW, 2560, Australia
| | - Amit Arora
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.,Health Equity Laboratory, Campbelltown, NSW, 2560, Australia.,Translational Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.,Discipline of Child and Adolescent Health, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, 2145, Australia.,Oral Health Services, Sydney Local Health District and Sydney Dental Hospital, NSW Health, Surry Hills, NSW, 2010, Australia
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Middleton J, Biberman D, Magana L, Saenz R, Low WY, Adongo P, Kolt GS, Surenthirakumaran R. Global Governance for Improved Human, Animal, and Planetary Health: The Essential Role of Schools and Programs of Public Health. Public Health Rev 2022; 42:1604610. [PMID: 35140997 PMCID: PMC8711018 DOI: 10.3389/phrs.2021.1604610] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 11/29/2021] [Indexed: 01/07/2023] Open
Affiliation(s)
- John Middleton
- Association of Schools of Public Health in the European Region, Brussels, Belgium
| | - Dorothy Biberman
- Association of Schools and Programs of Public Health, Washington, DC, United States
| | - Laura Magana
- Association of Schools and Programs of Public Health, Washington, DC, United States
| | - Rocio Saenz
- Alianza Latinoamericana de Salud Global, Santiago De, Chile
| | - Wah Yun Low
- Asia-Pacific Academic Consortium for Public Health, Kuala Lumpur, Malaysia
| | - Philip Adongo
- Association of Schools of Public Health Africa, Accra, Ghana
| | - Gregory S Kolt
- Council of Academic Public Health Institutions, Deakin, ACT, Australia
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El Masri A, Kolt GS, George ES. Physical activity interventions among culturally and linguistically diverse populations: a systematic review. Ethn Health 2022; 27:40-60. [PMID: 31446773 DOI: 10.1080/13557858.2019.1658183] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 07/30/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVES To systematically review physical activity interventions among culturally and linguistically diverse (CALD) populations and explore the strategies used to recruit CALD populations, the cultural adaptations made in these interventions, and the cultural adaptations used among successful interventions. DESIGN Four electronic databases (Embase, MEDLINE, CENTRAL, and CINAHL) was searched in March 2017 and re-run in January 2018. Manual screening of the reference lists of the included studies was also conducted. Eligibility criteria for inclusion in the systematic review were: intervention studies (e.g. controlled and non-controlled studies), physical activity as primary outcome and as the only health behaviour targeted, culturally and linguistically diverse population of interest, published in English, and targeted adult populations (i.e. aged ≥18). RESULTS A total of 19 articles were included in this review, comprising 15 unique studies. Most studies targeted Latino populations, published in the United States, and targeted women. An array of recruitment strategies were used, such as recruiting from religious establishments or religious and cultural events, and community organisations and events. The majority of studies made cultural adaptations to their intervention to suit the CALD population of interest, however, the level of detail of reported adjustments was limited. Successful interventions were those that generally included community consultation to inform their intervention, language adjustments, community health workers/bilingual/bicultural personnel for intervention delivery, recruitment, and data-collection, and using culturally-relevant intervention material. CONCLUSIONS Although many studies included in this review reported increases in physical activity at follow-up, the results need to be interpreted with caution due to the lower level of methodological quality and reporting on study methodology. Future interventions designed for CALD populations should be of greater methodological quality and also provide a greater level of transparency in terms of the cultural adaptations that have been made to the intervention.
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Affiliation(s)
- Aymen El Masri
- School of Science and Health, Western Sydney University, Sydney, Australia
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, Australia
| | - Emma S George
- School of Science and Health, Western Sydney University, Sydney, Australia
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George ES, El Masri A, Kwasnicka D, Romeo A, Cavallin S, Bennie A, Kolt GS, Guagliano JM. Effectiveness of Adult Health Promotion Interventions Delivered Through Professional Sport: Systematic Review and Meta-Analysis. Sports Med 2022; 52:2637-2655. [PMID: 35708886 PMCID: PMC9585012 DOI: 10.1007/s40279-022-01705-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/13/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Researchers are capitalising on the strong connections that sport fans have with their teams for health promotion programmes, yet no existing systematic reviews have evaluated the effectiveness of interventions delivered through professional sport. OBJECTIVE The aim of this study was to systematically collate, evaluate, and synthesise the evidence on health promotion interventions implemented in professional sport settings. METHODS Randomised controlled trials reporting on adult health promotion initiatives delivered in professional sport settings were identified through electronic database searches in CINAHL, MEDLINE, SPORTDiscus, Scopus, the Cochrane Central Register of Controlled Trials (CENTRAL), and Google Scholar. Data on health-related outcomes (e.g., weight, physical activity, dietary intake) were extracted and synthesised, and random effects meta-analyses were conducted to examine effects for weight and waist circumference. Risk of bias was examined using the Cochrane risk-of-bias tool for randomised controlled trials (RoB 2). RESULTS Six studies reporting on five unique interventions met the inclusion criteria, and all included studies were gender-sensitised and exclusively targeted men. Intervention effects were observed for several health outcomes, including physical activity, dietary intake, and psychosocial health. All studies aimed to reduce weight, and for most studies (n = 4), weight was a primary outcome, either of the included study or to inform a future definitive trial. Findings from the meta-analysis revealed an overall significant difference in change in weight of - 3.2 kg (95% confidence interval [CI] - 4.6 to - 1.8) and waist circumference of - 3.9 cm (95% CI - 4.9 to - 2.8), both in favour of the intervention group at 12 weeks. Intervention effects were also reported for several other health outcomes (e.g., physical activity, dietary intake, psychosocial health); however, they were not consistently measured across the studies and thus were not meta-analysed. CONCLUSION Health promotion interventions delivered through professional sporting organisations can significantly improve weight- and lifestyle-related health outcomes. Representation across the socioeconomic spectrum and across culturally and linguistically diverse groups was limited. As only a limited number of studies met the inclusion criteria for this review, a need exists for rigorously designed interventions, standardised intervention approaches, with long-term follow-up, and the potential for scalability. PROSPERO REGISTRATION NUMBER CRD42019123295.
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Affiliation(s)
- Emma S. George
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia ,grid.1029.a0000 0000 9939 5719Translational Health Research Institute (THRI), Western Sydney University, Sydney, NSW Australia
| | - Aymen El Masri
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
| | - Dominika Kwasnicka
- grid.433893.60000 0001 2184 0541SWPS University of Social Sciences and Humanities, Wroclaw, Poland ,grid.1008.90000 0001 2179 088XNHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
| | - Alannah Romeo
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
| | - Sarah Cavallin
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
| | - Andrew Bennie
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
| | - Gregory S. Kolt
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
| | - Justin M. Guagliano
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
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Fenton S, Burrows TL, Collins CE, Holliday EG, Kolt GS, Murawski B, Rayward AT, Stamatakis E, Vandelanotte C, Duncan MJ. Behavioural mediators of reduced energy intake in a physical activity, diet, and sleep behaviour weight loss intervention in adults. Appetite 2021; 165:105273. [PMID: 33945842 DOI: 10.1016/j.appet.2021.105273] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 03/29/2021] [Accepted: 04/16/2021] [Indexed: 10/21/2022]
Abstract
Reduced energy intake is a major driver of weight loss and evidence suggests that physical activity, dietary, and sleep behaviours interact to influence energy intake. Energy restriction can be challenging to sustain. Therefore to improve intervention efficacy, evaluation of how changes in physical activity, diet, and sleep behaviours mediate reduced energy intake in adults with overweight/obesity who participated in a six-month multiple-behaviour-change weight loss intervention was undertaken. This was a secondary analysis of a 3-arm randomised controlled trial. Adults with body mass index (BMI) 25-40 kg/m2 were randomised to either: a physical activity and diet intervention; physical activity, diet, and sleep intervention; or wait-list control. Physical activity, dietary intake, and sleep was measured at baseline and six-months using validated measures. The two intervention groups were pooled and compared to the control. Structural equation modelling was used to estimate the mediated effects (AB Coefficient) of the intervention on total energy intake. One hundred and sixteen adults (70% female, 44.5y, BMI 31.7 kg/m2) were enrolled and 70% (n = 81) completed the six-month assessment. The significant intervention effect on energy intake at six-months (-1011 kJ/day, 95% CI -1922, -101) was partially mediated by reduced fat intake (AB = -761.12, 95% CI -1564.25, -53.74) and reduced consumption of energy-dense, nutrient-poor foods (AB = -576.19, 95% CI -1189.23, -97.26). In this study, reducing fat intake and consumption of energy-dense, nutrient-poor foods was an effective strategy for reducing daily energy intake in adults with overweight/obesity at six-months. These strategies should be explicitly targeted in future weight loss interventions.
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Affiliation(s)
- Sasha Fenton
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia; School of Medicine & Public Health, College of Health, Medicine & Wellbeing, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Tracy L Burrows
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia; School of Health Sciences, College of Health, Medicine & Wellbeing, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Clare E Collins
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia; School of Health Sciences, College of Health, Medicine & Wellbeing, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Elizabeth G Holliday
- School of Medicine & Public Health, College of Health, Medicine & Wellbeing, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Gregory S Kolt
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Beatrice Murawski
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia; School of Medicine & Public Health, College of Health, Medicine & Wellbeing, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Anna T Rayward
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia; School of Education, College of Human and Social Futures, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Emmanuel Stamatakis
- University of Sydney, Faculty of Medicine and Health, Charles Perkins Centre, School of Health Sciences, New South Wales, Australia.
| | - Corneel Vandelanotte
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Bruce Highway, Rockhampton, QLD, 4702, Australia.
| | - Mitch J Duncan
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia; School of Medicine & Public Health, College of Health, Medicine & Wellbeing, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
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El Masri A, Kolt GS, George ES. Feasibility and acceptability of a culturally tailored physical activity intervention for Arab-Australian women. BMC Womens Health 2021; 21:131. [PMID: 33784997 PMCID: PMC8008684 DOI: 10.1186/s12905-021-01250-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 03/01/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Despite being one of the largest migrant groups in Australia, few physical activity interventions exist for Arab-Australians. The primary aim of this study was to test the feasibility and acceptability of a 12-week culturally tailored physical activity intervention for Arab-Australian women. METHODS This study used a single-group pretest-posttest design, and was informed by extensive formative research and consultation involving the Arab-Australian community. Participants were insufficiently active Arab-Australian women aged 35-64 with no current illness or injury that would limit physical activity participation. The intervention comprised 6 face-to-face physical activity and education sessions over 12 weeks. The intervention was conducted at 2 separate intervention sites in Western Sydney, Australia. Feasibility outcomes included recruitment, session attendance, and retention. The acceptability of the intervention was assessed through a process evaluation questionnaire completed post-intervention. Accelerometers and the short-form International Physical Activity Questionnaire were used to measure physical activity at baseline and post-intervention. Descriptive statistics were used for feasibility and acceptability outcomes, and changes in physical activity were examined using Wilcoxon signed-rank tests. RESULTS Of the 53 women who were contacted or expressed interest, 22 were eligible and enrolled in the study. Participants were primarily recruited through direct contact by Arab-Australian community workers and by word-of-mouth. Average session attendance was 63% and the retention rate post-intervention was 68%. The culturally-related intervention components, such as the appropriateness of content, and women-only setting, were rated highly favourably (4.33 to 4.87/5). General intervention elements, such as the face-to-face delivery, knowledge and approachability of facilitators, and session structure, were also rated favourably (4.33 to 4.93/5), and the lowest scored item was the intervention session frequency (3.2/5). There were no statistically significant changes in physical activity post-intervention. CONCLUSIONS The findings from this study highlighted factors related to recruitment and delivery that need to be considered when developing physical activity interventions for Arab-Australian women. Further research is required using a larger sample and a randomised controlled trial design to examine the longer-term impact on physical activity, and to also examine ways of increasing intervention engagement and retention among Arab-Australian women. TRIAL REGISTRATION ANZCTR, ACTRN12618001392257. Registered 20 August 2018, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375636 .
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Affiliation(s)
- Aymen El Masri
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Gregory S Kolt
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Emma S George
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
- Translational Health Research Institute, Western Sydney University, Penrith, Australia.
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El Masri A, Kolt GS, George ES. A systematic review of qualitative studies exploring the factors influencing the physical activity levels of Arab migrants. Int J Behav Nutr Phys Act 2021; 18:2. [PMID: 33407603 PMCID: PMC7788960 DOI: 10.1186/s12966-020-01056-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 11/09/2020] [Indexed: 12/22/2022] Open
Abstract
Background Evidence suggests that Arab migrant populations engage in low levels of physical activity. To our knowledge, there are no reviews that explore the perspectives of Arab migrant populations on the factors influencing physical activity. The aim of this systematic review was to thematically synthesise qualitative literature on the factors influencing physical activity among Arab migrant populations. Methods Five electronic databases (CINAHL, SPORTDiscus, PsychoInfo, MEDLINE, Embase) were searched in July 2018 and searched again in April 2020. A manual search in Google Scholar was also performed using keywords and the reference lists of included studies were also screened to identify further articles. The eligibility criteria for inclusion were studies that sampled adult (≥18 years) Arab migrant populations, used qualitative methodology, explored the factors influencing physical activity as a primary aim, and were published in English. The 10-item Critical Appraisal Skills Programme (CASP) checklist was used to assess methodological quality of individual studies. The results of the studies were thematically synthesised using the qualitative software Quirkos v1.6. Results A total of 15 studies were included, with the largest proportion of studies conducted in Australia, followed by the United States, Netherlands, Sweden, and then Canada. Five studies exclusively sampled Arab migrant populations in their study. A total of 7 major themes influencing physical activity among Arab migrants emerged from the synthesis: culture and religion, competing commitments and time, social factors, health-related influences, accessibility issues, outdoor environment, and the migratory experience. Conclusions The findings of this review highlighted the various factors influencing the physical activity levels of Arab migrant adults. While many of the factors influencing physical activity are shared with those experienced by other populations (e.g., time constraints), for Arab migrant populations there are other more unique factors closely associated with culture and religion that appear to influence their levels of physical activity. The findings of this review could be used to inform the design of physical activity interventions targeting Arab migrant populations. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-020-01056-w.
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Affiliation(s)
- Aymen El Masri
- School of Health Sciences, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Gregory S Kolt
- School of Health Sciences, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Emma S George
- School of Health Sciences, Western Sydney University, Penrith, NSW, 2751, Australia. .,Translational Health Research Institute, Western Sydney University, Penrith, Australia.
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Buckland C, Hector D, Kolt GS, Fahey P, Arora A. Interventions to promote exclusive breastfeeding among young mothers: a systematic review and meta-analysis. Int Breastfeed J 2020; 15:102. [PMID: 33256788 PMCID: PMC7706026 DOI: 10.1186/s13006-020-00340-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 11/03/2020] [Indexed: 12/05/2022] Open
Abstract
Background Exclusive breastfeeding rates in many high-income countries are considerably lower than the World Health Organization recommendations. Younger mothers are less likely than older mothers to exclusively breastfeed or to exclusively breastfeed for a long duration. This systematic review explores interventions to increase the rate of exclusive breastfeeding among young mothers in high-income countries. Methods A systematic search of the following databases was completed in August 2020: CINAHL, PubMed, MEDLINE, ProQuest, PsychInfo, Web of Science, Cochrane, Scopus and Embase. A manual search of the reference lists of all the included studies and published systematic reviews was also performed. The Cochrane Collaboration Risk of Bias Tool was used to assess the quality of the included studies. A random effects model meta-analyses was applied. Heterogeneity of outcomes between the studies was assessed using both the χ2 test and the I2 statistic. Results Of 955 records identified in the search, 392 duplicates were removed, and nine studies met the inclusion criteria. Seven studies were randomised controlled trial (RCTs) and two were quasi-experimental in design. Eight were conducted in the United States. The interventions included peer counselling, telephone support, massage, gift packs, financial incentive and antenatal education. Most studies included a combination of strategies, peer counselling being the most common. A meta-analysis of four of nine included studies did not detect a difference in rate of exclusive breastfeeding to 3 months postpartum (RR 1.44; 95% CI 0.82, 2.55; p = 0.204). This review is limited by the relatively few studies which met the inclusion criteria and the small sample sizes of most included studies. High rates of attrition and formula supplementation among the participants made it difficult to detect a statistically significant effect. Consistency in follow up times would enable more studies to be included in a meta-analysis. Conclusions Peer counselling was the most promising strategy associated with higher rates of exclusive breastfeeding. However, further studies are needed to understand the breastfeeding experiences of young mothers. Young mothers should be targeted specifically in intervention studies. Supplementary Information The online version contains supplementary material available at 10.1186/s13006-020-00340-6.
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Affiliation(s)
- Christa Buckland
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Debra Hector
- Cancer Australia, Surry Hills, NSW, 2010, Australia
| | - Gregory S Kolt
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Paul Fahey
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.,Translational Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Amit Arora
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.,Translational Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.,Discipline of Child and Adolescent Health, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, 2145, Australia.,Oral Health Services, Sydney Local Health District and Sydney Dental Hospital, NSW Health, Surry Hills, NSW, 2010, Australia
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11
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MacMillan F, Kolt GS, Le A, George ES. Systematic review of randomised control trial health promotion intervention studies in the fire services: study characteristics, intervention design and impacts on health. Occup Environ Med 2020; 78:oemed-2020-106613. [PMID: 33004434 DOI: 10.1136/oemed-2020-106613] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/13/2020] [Accepted: 08/20/2020] [Indexed: 12/26/2022]
Abstract
The objective of this study was to systematically review health promotion interventions in the fire services. Four databases were searched for articles reporting on health promotion interventions for firefighters evaluated in randomised controlled trials (RCT) and measuring efficacy on health or lifestyle behaviour outcomes. Data were extracted to create a narrative synthesis regarding study design, intervention characteristics and impact on outcomes. Risk of bias was assessed using a 13-item tool. Of 448 papers identified, after removal of duplicates, 209 were excluded based on title/abstract screening. A further 60 papers were excluded, mostly due to studies not being RCTs, not including a lifestyle behaviour intervention, or not focusing on health or lifestyle behaviour outcomes. Ten studies (reported in 11 papers) were eligible for inclusion. Six studies compared an intervention to usual practice, one compared a full intervention to a minimal intervention, one compared two exercise programmes and two compared two interventions to usual practice. Four studies evaluated structured physical activity interventions. Five studies evaluated physical activity and diet-focused behaviour change programmes, and one study included a mindfulness programme. When assessing risk of bias, three studies had low risk ratings for >8/13 items, leaving seven studies with high-risk ratings for ≥5/13 items. Eight of the 10 studies reported improvements in at least 1 outcome from baseline to final follow-up in the intervention group over a comparison group. The majority of lifestyle behaviour interventions targeted physical activity and/or diet. Findings from included studies suggest that programmes for firefighters initiated in the workplace can improve some health outcomes.
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Affiliation(s)
- Freya MacMillan
- School of Health Sciences, Western Sydney University, Penrith South, New South Wales, Australia
| | - Gregory S Kolt
- School of Health Sciences, Western Sydney University, Penrith South, New South Wales, Australia
| | - April Le
- School of Health Sciences, Western Sydney University, Penrith South, New South Wales, Australia
| | - Emma S George
- School of Health Sciences, Western Sydney University, Penrith South, New South Wales, Australia
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12
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Duncan MJ, Fenton S, Brown WJ, Collins CE, Glozier N, Kolt GS, Holliday EG, Morgan PJ, Murawski B, Plotnikoff RC, Rayward AT, Stamatakis E, Vandelanotte C, Burrows TL. Efficacy of a Multi-component m-Health Weight-loss Intervention in Overweight and Obese Adults: A Randomised Controlled Trial. Int J Environ Res Public Health 2020; 17:E6200. [PMID: 32859100 PMCID: PMC7503928 DOI: 10.3390/ijerph17176200] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND This study compared the efficacy of two multi-component m-health interventions with a wait-list control group on body weight (primary outcome), and secondary outcomes of cardiovascular risk factors, lifestyle behaviours, and mental health. METHODS Three-arm randomised controlled trial (Enhanced: physical activity, diet, sleep, Traditional: physical activity, diet, Control) with assessments conducted at baseline, 6 and 12 months. Participants (n = 116) were overweight or obese adults aged 19-65 (M = 44.5 [SD = 10.5]). The 6-month intervention was delivered via a smartphone app providing educational materials, goal-setting, self-monitoring and feedback, and also included one face-to-face dietary consultation, a Fitbit and scales. The trial was prospectively registered and conducted between May 2017 and September 2018. Group differences on primary and secondary outcomes were examined between the Pooled Intervention groups (Pooled Intervention = Enhanced and Traditional) and Control groups, and then between Enhanced and Traditional groups. RESULTS Nineteen participants (16.4%) formally withdrew from the trial. Compared with the Control group, average body weight of the Pooled Intervention group did not differ at 6 (between-group difference = -0.92, (95% CI -3.33, 1.48)) or 12 months (0.00, (95% CI -2.62, 2.62)). Compared with the Control group, the Pooled Intervention group significantly increased resistance training (OR = 7.83, (95% CI 1.08, 56.63)) and reduced energy intake at 6 months (-1037.03, (-2028.84, -45.22)), and improved insomnia symptoms at 12 months (-2.59, (-4.79, -0.39)). Compared with the Traditional group, the Enhanced group had increased waist circumferences (2.69, (0.20, 5.18)) and sedentary time at 6 months (105.66, (30.83, 180.48)), and improved bed time variability at 12 months (-1.08, (-1.86, -0.29)). No other significant differences were observed between groups. CONCLUSIONS Relative to Controls, the Pooled Intervention groups did not differ on body weight but improved resistance training, and reduced energy intake and insomnia symptom severity. No additional weight loss was apparent when targeting improvements in physical activity, diet and sleep in combination compared with physical activity and diet.
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Affiliation(s)
- Mitch J. Duncan
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (S.F.); (E.G.H.); (B.M.)
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
| | - Sasha Fenton
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (S.F.); (E.G.H.); (B.M.)
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
| | - Wendy J. Brown
- School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD 4067, Australia;
| | - Clare E. Collins
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Nicholas Glozier
- Brain and Mind Centre, Central Clinical School, The University of Sydney, 94 Mallett St, Camperdown, NSW 2050, Australia;
| | - Gregory S. Kolt
- School of Health Sciences, Western Sydney University, Penrith, NSW 2751, Australia;
| | - Elizabeth G. Holliday
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (S.F.); (E.G.H.); (B.M.)
| | - Philip J. Morgan
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Education, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Beatrice Murawski
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (S.F.); (E.G.H.); (B.M.)
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
| | - Ronald C. Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Education, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Anna T. Rayward
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Education, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Emmanuel Stamatakis
- Charles Perkins Centre, Faculty of Medicine and Health, School of Health Sciences, Sydney 2006, Australia;
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Science, Central Queensland University, Rockhampton, QLD 4700, Australia;
| | - Tracy L. Burrows
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
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13
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Kolt GS, Duncan MJ, Vandelanotte C, Rosenkranz RR, Maeder AJ, Savage TN, Tague R, van Italie A, Mummery WK, Caperchione CM. An IT-based Health Behaviour Change Program To Increase Physical Activity: Evaluation Of Successes And Challenges. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000678344.81609.99] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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14
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El Masri A, Kolt GS, George ES. The perceptions, barriers and enablers to physical activity and minimising sedentary behaviour among Arab-Australian adults aged 35-64 years. Health Promot J Austr 2020; 32:312-321. [PMID: 32291855 DOI: 10.1002/hpja.345] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 03/10/2020] [Accepted: 04/02/2020] [Indexed: 12/13/2022] Open
Abstract
ISSUES ADDRESSED The objective of this study was to explore the perceptions, barriers and enablers to physical activity (PA) and minimising sedentary behaviour among Arab-Australians, a group who have lower levels of PA and higher rates of certain chronic diseases when compared with the general Australian population. METHODS A total of 28 Arab-Australians aged 35-64 years participated in one of five focus groups conducted in Western Sydney during 2017-2018, a culturally diverse region in New South Wales, Australia. Focus group duration ranged from 35-90 minutes with 4-7 participants in each group. Focus group data were recorded and transcribed verbatim and analysed using inductive thematic analysis. RESULTS Participants had a general understanding of PA and the associated health benefits. Fewer participants were aware of the independent health effects associated with prolonged sitting. A lack of time and motivation due to work, familial duties, domestic roles and lack of effort reportedly influenced PA participation. Health was perceived to be both a barrier and an enabler to PA. Barriers related to health included pain and existing conditions and enablers included preventive and reactive measures. Social support and accessibility, such as a lack of support networks, the availability of services and costs were also discussed. Cultural and religious influences, such as traditional gender roles and the importance of gender-exclusive settings, were also important factors influencing the PA behaviours of participants. CONCLUSIONS This study highlighted the factors that influence the PA levels and sedentary behaviour of Arab-Australian adults aged 35-64 years. SO WHAT?: The findings of this study could help inform the design and development of culturally tailored PA interventions for Arab-Australian adults.
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Affiliation(s)
- Aymen El Masri
- School of Health Sciences, Western Sydney University, Sydney, Australia
| | - Gregory S Kolt
- School of Health Sciences, Western Sydney University, Sydney, Australia
| | - Emma S George
- School of Health Sciences, Western Sydney University, Sydney, Australia.,Translational Health Research Institute, Western Sydney University, Sydney, Australia
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15
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Abstract
BACKGROUND Carers provide both practical and emotional support and often play an important role in coordination of care for recipients. The demands of caring may lead to increased levels of stress for the carer, which can affect mental health and quality of life. This study examined the relationship between being a carer and psychological distress (assessed using the Kessler Psychological Distress Scale [K10]), and explored the moderating effect of social support in that relationship using a large sample. METHODS The study used data from the 45 and Up study, a large cohort study of individuals aged 45 years and over in New South Wales, Australia, and applied multiple regression methods and moderation analysis. The sample for the current study comprised 267,041 participants drawn from the baseline dataset, with valid data on the primary outcome (carer status). RESULTS The mean age of participants was 62.73 (±11.18) years, and 4.23% and 7.13% were identified as full-time and part-time carers, respectively. Compared to non-carers, full-time carers had K10 scores that were on average, higher by 1.87, while part-time carers' K10 scores were on average higher by 1.60 points. A perception of social support reduced the strength of the relationship between carer status and psychological distress by 40% for full-time carers and 60% for part-time carers. CONCLUSIONS The findings have important implications, for both prevention and treatment of psychological problems among carers. In terms of prevention, they suggest that public health campaigns focused on increasing awareness regarding the psychological burden faced by carers would be useful. In terms of intervention, potential treatments that focus on improving social support networks may be helpful. The results are particularly important in the current context of an ageing population in Australian and other developed countries, where caregiving is likely to play an increasing role in the care and support services.
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Affiliation(s)
- Emma S. George
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, Australia
| | - Milica Kecmanovic
- grid.1029.a0000 0000 9939 5719School of Psychology, Western Sydney University, Sydney, Australia
| | - Tanya Meade
- grid.1029.a0000 0000 9939 5719School of Psychology, Western Sydney University, Sydney, Australia
| | - Gregory S. Kolt
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, Australia
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16
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Patel A, Schofield GM, Kolt GS, Keogh JWL. Older adults' evaluations of the standard and modified pedometer-based Green Prescription. J Prim Health Care 2020; 12:41-48. [PMID: 32223849 DOI: 10.1071/hc19007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Accepted: 02/08/2020] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION The Green Prescription is a primary care programme designed to increase physical activity in individuals with low activity levels. Older adults tend to engage in insufficient physical activity to obtain health-related gain. AIM To examine participants' ratings of the Healthy Steps intervention and to assess how participants rated the use of a pedometer-based Green Prescription in aiding their physical activity. METHODS In total, 330 community-dwelling older adults who have low levels of activity were randomised to receive either a standard time-based Green Prescription or a modified pedometer-based Green Prescription. Post-intervention, 259 participants completed the participant evaluation questionnaire via postal survey. Data were analysed using descriptive statistics and Chi-squared analyses. RESULTS The standard components of the Green Prescription (general practitioner consultations and telephone counselling) received similar and higher ratings across both allocation groups than the use of print materials. A pedometer-based Green Prescription was rated as being helpful in aiding physical activity. DISCUSSION This study supports the importance of general practitioners' initial role in prescribing physical activity for older adults and of ongoing telephone support for longer-term adherence. Incorporating a pedometer can be effective in helping low-active older adults initiate and maintain regular physical activity.
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Affiliation(s)
- Asmita Patel
- School of Clinical Sciences, Faculty Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand; and South Pacific College of Natural Medicine, Auckland, New Zealand; and Corresponding author.
| | - Grant M Schofield
- Human Potential Centre, Faculty Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Justin W L Keogh
- Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, Australia; and Human Potential Centre, Faculty Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand; and Cluster for Health Improvement, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
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Kolt GS, Duncan MJ, Vandelanotte C, Rosenkranz RR, Maeder AJ, Savage TN, Tague R, Van Itallie A, Mummery WK, Caperchione CM. Successes and Challenges of an IT-Based Health Behaviour Change Program to Increase Physical Activity. Stud Health Technol Inform 2020; 268:31-43. [PMID: 32141877 DOI: 10.3233/shti200004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Health behaviour change programs that utilise IT-based delivery have great potential to improve health. Whilst more static Web 1.0 technologies have been somewhat effective, they often failed to promote longer-term user engagement required for greater health promotion impact. With Web 2.0 technologies, however, there is potential for greater engagement and retention, through allowing individuals to determine how information is generated, modified, and shared collaboratively. The WALK 2.0 study utilised a Web 2.0-based platform to engage participants in health behaviour change aimed at increasing physical activity levels. The program included two trials: (1) a three-arm randomised controlled trial (RCT) that compared the effectiveness of Web 2.0, Web 1.0, and paper-based logbook interventions; and (2) a real-world randomised ecological trial (RET) that compared a Web 2.0 and Web 1.0 intervention. The aim of this paper is not to focus on the research trial results per se, but rather the success factors and challenges in both the RCT and RET. Both the RCT and RET demonstrated successful outcomes, with greater improvements in physical activity for the Web 2.0 groups. A range of challenges, however, were identified in designing, implementing, and evaluating such interventions. These include IT-based intervention development within a research context, the ability to establish a self-sustaining online community, the rapid pace of change in web-based technology and implications for trial design, the selection of best outcome measures for ecological trials, and managing engagement, non-usage and study attrition in real-world trials. Future research and developments in this area must look to broader research designs that allow for the ever-changing IT-user landscape and behaviour, and greater reliance on development and testing in real-world settings.
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Duncan MJ, Kolt GS. Learning from community-led and co-designed m-health interventions. Lancet Digit Health 2019; 1:e248-e249. [PMID: 33323247 DOI: 10.1016/s2589-7500(19)30125-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 09/09/2019] [Indexed: 11/27/2022]
Affiliation(s)
- Mitch J Duncan
- School of Medicine & Public Health, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2308, Australia.
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Guagliano JM, Kolt GS, Rosenkranz RR, Dzewaltowski DA. Does self-determined motivation interact with environmental contexts to influence moderate-to-vigorous physical activity during a girls' youth sport camp? J Sports Sci 2019; 37:2720-2725. [PMID: 31480895 DOI: 10.1080/02640414.2019.1662537] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Objective: To explore whether basketball player's self-determined motivation interacts with environmental contexts and coach training to influence percentage time in moderate-to-vigorous physical activity (%MVPA). Methods: A secondary analysis of data from 76 girls (mean ± SD, 10.5 ± 1.0 years) was conducted. Players were classified as high self-determined motivation (HSDM) or low self-determined motivation (LSDM) and randomised to trained (intervention) or untrained (control) coaches. Training included 2 workshops on strategies for activity-promoting practices. Girls were exposed to environmental contexts (practices and games) led by a trained/untrained coach (depending on arm) and one without coaches (free time) daily. Girls wore accelerometers each day. Using mixed random-effects models, the influence of motivation, context and training on %MVPA was analysed. Results: Trained coaches' practices were associated with the greatest %MVPA with no difference between HSDM and LSDM players (38.28 ± 1.77%; 37.64 ± 1.80%; p = 0.66). HSDM players had significantly greater %MVPA versus LSDM players during untrained coaches' practices (23.58 ± 1.77%; 20.51 ± 1.78%; p = 0.03). During games with trained coaches, HSDM players had greater %MVPA compared to LSDM players (23.79 ± 1.76%; 18.56 ± 1.74%; p < 0.001). No between-group difference in %MVPA during free time was found (12.85 ± 0.82%; 13.39 ± 0.84%; p = 0.64). Conclusion: The impact of individual differences in self-determined motivation on %MVPA during practices was attenuated when coaches were trained to implement activity-promoting practices.
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Affiliation(s)
- Justin M Guagliano
- Department of Kinesiology, Kansas State University , Manhattan , KS , USA
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University , Sydney , Australia
| | - Richard R Rosenkranz
- Department of Food, Nutrition, Dietetics & Health, Kansas State University , Manhattan , KS , USA
| | - David A Dzewaltowski
- Department of Health Promotions and Buffett Early Childhood Institute, University of Nebraska Medical Center , Omaha , NE , USA
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El Masri A, Kolt GS, George ES. Country of birth differences in lifestyle-related chronic disease among middle-aged and older adults of Lebanese ethnicity. Aust N Z J Public Health 2019; 43:429-435. [PMID: 31339603 DOI: 10.1111/1753-6405.12919] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 05/01/2019] [Accepted: 05/01/2019] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE To examine country of birth differences in the odds of reporting chronic diseases among those of Lebanese ethnicity in comparison to those of Australian ethnicity. METHODS Participants were 41,940 Australians aged 45 years and older, sampled from the 45 and Up Study baseline dataset. Participants included those of Lebanese ethnicity born in Lebanon (n=401), Australia (n=331) and other countries (n=73); and those of Australian ethnicity (n=41,135). Logistic regression models were conducted to examine differences in the odds of reporting chronic disease between those of Lebanese ethnicity and those of Australian ethnicity. RESULTS Those of Lebanese ethnicity had higher odds of reporting diabetes (OR 1.62; 95%CI 1.32-2.00) and lower odds of reporting hypertension (OR 0.82; 95%CI 0.70-0.96) when compared with those of Australian ethnicity. After country of birth stratification, only those born in Lebanon had higher odds of reporting diabetes (OR 2.21; 95%CI 1.71-2.85) and also had lower odds of reporting cancer (OR 0.66; 95%CI 0.46-0.97), when compared with those of Australian ethnicity. CONCLUSIONS Country of birth differences in health exist among those of Lebanese ethnicity. Implications for public health: Country of birth is an important factor that could assist in explaining differences in health among ethnic groups of the same origin.
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Affiliation(s)
- Aymen El Masri
- School of Science and Health, Western Sydney University, New South Wales
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, New South Wales
| | - Emma S George
- School of Science and Health, Western Sydney University, New South Wales
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21
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Vandelanotte C, Duncan MJ, Stanton R, Rosenkranz RR, Caperchione CM, Rebar AL, Savage TN, Mummery WK, Kolt GS. Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness. BMC Public Health 2019; 19:407. [PMID: 30991980 PMCID: PMC6466730 DOI: 10.1186/s12889-019-6717-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 03/27/2019] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND This study aimed to investigate the validity of the Active Australia Survey across different subgroups and its responsiveness to change, as few previous studies have examined this. METHODS The Active Australia Survey was validated against the ActiGraph as an objective measure of physical activity. Participants (n = 465) wore the ActiGraph for 7 days and subsequently completed the Active Australia Survey. Moderate activity, vigorous activity and total moderate and vigorous physical activity were compared using Spearman rank-order correlations. Changes in physical activity between baseline and 3-month assessments were correlated to examine responsiveness to change. The data were stratified to assess outcomes according to different subgroups (e.g., gender, age, weight, activity levels). RESULTS With regards to the validity, a significant correlation of ρ = 0.19 was found for moderate physical activity, ρ = 0.33 for vigorous physical activity and ρ = 0.23 for moderate and vigorous physical activity combined. For vigorous physical activity correlations were higher than 0.3 for most subgroups, whereas they were only higher than 0.3 in those with a healthy weight for the other activity outcomes. With regards to responsiveness to change, a correlation of ρ = 0.32 was found for moderate physical activity, ρ = 0.19 for vigorous physical activity and ρ = 0.35 for moderate and vigorous physical activity combined. For moderate and vigorous activity combined correlations were higher than 0.4 for several subgroups, but never for vigorous physical activity. CONCLUSIONS Little evidence for the validity of Active Australia Survey was found, although the responsiveness to change was acceptable for several subgroups. Findings from studies using the Active Australia Survey should be interpreted with caution. TRIAL REGISTRATION World Health Organisation Universal Trial Number: U111-1119-1755. Australian New Zealand Clinical Trials Registry, ACTRN12611000157976 . Registration date: 8 March 2011.
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Affiliation(s)
- Corneel Vandelanotte
- Physical Activity Research Group, School of Human, Health and Social Sciences, Central Queensland University, Rockhampton, QLD Australia
| | - Mitch J. Duncan
- School of Medicine & Public Health; Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW Australia
| | - Rob Stanton
- School of Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD Australia
| | - Richard R. Rosenkranz
- Department of Food, Nutrition, Dietetics and Health, Kansas State University, Manhattan, KS USA
| | - Cristina M. Caperchione
- School of Health and Exercise Sciences, University of Technology Sydney, Sydney, NSW Australia
| | - Amanda L. Rebar
- Physical Activity Research Group, School of Human, Health and Social Sciences, Central Queensland University, Rockhampton, QLD Australia
| | - Trevor N. Savage
- School of Science and Health, Western Sydney University, Sydney, NSW Australia
| | - W. Kerry Mummery
- Faculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta Canada
| | - Gregory S. Kolt
- School of Science and Health, Western Sydney University, Sydney, NSW Australia
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Oftedal S, Kolt GS, Holliday EG, Stamatakis E, Vandelanotte C, Brown WJ, Duncan MJ. Associations of health-behavior patterns, mental health and self-rated health. Prev Med 2019; 118:295-303. [PMID: 30476503 DOI: 10.1016/j.ypmed.2018.11.017] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 11/19/2018] [Accepted: 11/22/2018] [Indexed: 12/31/2022]
Abstract
Diet quality, physical activity, alcohol use, smoking, sleep and sitting-time are behaviors known to influence health. The aims of this study were to identify how these behaviors co-occur to form distinct health-behavior patterns, and to investigate the relationship between these patterns, and mental and self-rated health. Members of the Australian 10,000 Steps project were invited to participate in an online survey in November-December 2011. The participants self-reported demographic and behavioral characteristics (fruit and vegetable intake, fast food, soft drink and alcohol consumption, smoking, physical activity, sitting-time and sleep), frequency of mental distress and self-rated health. Latent Class Analysis was used to identify health-behavior patterns. Latent class regression was used to examine relationships between behavior patterns, mental and self-rated health, and socio-demographic and economic factors. Data were analyzed in October 2017. Complete datasets were obtained from 10,638 participants. Four latent classes were identified, characterized by 'Low-Risk Behavior', 'Poor Sleep, Low-Risk Daytime Behavior', 'Sound Sleep, High-Risk Daytime Behavior' and 'High-Risk Behavior'. The latter two classes, both characterized by high-risk daytime behaviors, were associated with poor self-rated health. Participants in classes with high-risk daytime behaviors were more likely to be younger, non-partnered, non-university educated, from lower income households and work longer hours. Classes characterized by poor sleep quality were associated with higher frequency of mental distress. Findings suggest that experiencing poor sleep is partly independent of daytime behaviors, demographic and socioeconomic factors, but has a strong association with mental health.
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Affiliation(s)
- Stina Oftedal
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia.
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Penrith, NSW 2751, Australia
| | | | - Emmanuel Stamatakis
- Epidemiology Unit, Charles Perkins Centre, University of Sydney, Australia; Prevention Research Collaboration, School of Public Health, University of Sydney, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD 4700, Australia
| | - Wendy J Brown
- School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Mitch J Duncan
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
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23
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Duncan MJ, Brown WJ, Burrows TL, Collins CE, Fenton S, Glozier N, Kolt GS, Morgan PJ, Hensley M, Holliday EG, Murawski B, Plotnikoff RC, Rayward AT, Stamatakis E, Vandelanotte C. Examining the efficacy of a multicomponent m-Health physical activity, diet and sleep intervention for weight loss in overweight and obese adults: randomised controlled trial protocol. BMJ Open 2018; 8:e026179. [PMID: 30381313 PMCID: PMC6224765 DOI: 10.1136/bmjopen-2018-026179] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Traditional behavioural weight loss trials targeting improvements in physical activity and diet are modestly effective. It has been suggested that sleep may have a role in weight loss and maintenance. Improving sleep health in combination with physical activity and dietary behaviours may be one strategy to enhance traditional behavioural weight loss trials. Yet the efficacy of a weight loss intervention concurrently targeting improvements in physical activity, dietary and sleep behaviours remains to be tested. METHODS AND ANALYSIS The primary aim of this three-arm randomised controlled trial is to examine the efficacy of a multicomponent m-Health behaviour change weight loss intervention relative to a waitlist control group. The secondary aims are to compare the relative efficacy of a physical activity, dietary behaviour and sleep intervention (enhanced intervention), compared with a physical activity and dietary behaviour only intervention (traditional intervention), on the primary outcome of weight loss and secondary outcomes of waist circumference, glycated haemoglobin, physical activity, diet quality and intake, sleep health, eating behaviours, depression, anxiety and stress and quality of life. Assessments will be conducted at baseline, 6 months (primary endpoint) and 12 months (follow-up). The multicomponent m-Health intervention will be delivered using a smartphone/tablet 'app', supplemented with email and SMS and individualised in-person dietary counselling. Participants will receive a Fitbit, body weight scales to facilitate self-monitoring, and use the app to access educational material, set goals, self-monitor and receive feedback about behaviours. Generalised linear models using an analysis of covariance (baseline adjusted) approach will be used to identify between-group differences in primary and secondary outcomes, following an intention-to-treat principle. ETHICS AND DISSEMINATION The Human Research Ethics Committee of The University of Newcastle Australia provided approval: H-2017-0039. Findings will be disseminated via publication in peer-reviewed journals, conference presentations, community presentations and student theses. TRIAL REGISTRATION NUMBER ACTRN12617000735358; UTN1111-1219-2050.
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Affiliation(s)
- Mitch J Duncan
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, New South Wales, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Wendy J Brown
- School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Tracy L Burrows
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, New South Wales, Australia
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Clare E Collins
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, New South Wales, Australia
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Sasha Fenton
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, New South Wales, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Nicholas Glozier
- Brain and Mind Centre, Central Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Philip J Morgan
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, New South Wales, Australia
- School of Education, Faculty of Education and Arts, University of Newcastle, Callaghan, New South Wales, Australia
| | - Michael Hensley
- Department of Respiratory and Sleep Medicine, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Elizabeth G Holliday
- Centre for Clinical Epidemiology and Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Beatrice Murawski
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, New South Wales, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Ronald C Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, New South Wales, Australia
- School of Education, Faculty of Education and Arts, University of Newcastle, Callaghan, New South Wales, Australia
| | - Anna T Rayward
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, New South Wales, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Emmanuel Stamatakis
- Charles Perkins Centre, Faculty of Medicine and Health, School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, School for Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
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Vandelanotte C, Duncan MJ, Kolt GS, Caperchione CM, Savage TN, Van Itallie A, Oldmeadow C, Alley SJ, Tague R, Maeder AJ, Rosenkranz RR, Mummery WK. More real-world trials are needed to establish if web-based physical activity interventions are effective. Br J Sports Med 2018; 53:1553-1554. [PMID: 29970409 DOI: 10.1136/bjsports-2018-099437] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/21/2018] [Indexed: 11/04/2022]
Affiliation(s)
- Corneel Vandelanotte
- Physical Activity Research Group, School of Health, Medical and Applied Science, Central Queensland University, Rockhampton, Queensland, Australia
| | - Mitch J Duncan
- School of Medicine and Public Health, Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, Australian Capital Territory, Australia
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Cristina M Caperchione
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Trevor N Savage
- School of Allied Health Sciences, Griffith University, Southport, Queensland, Australia
| | - Anetta Van Itallie
- Physical Activity Research Group, School of Health, Medical and Applied Science, Central Queensland University, Rockhampton, Queensland, Australia
| | - Christopher Oldmeadow
- Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
| | - Stephanie J Alley
- Physical Activity Research Group, School of Health, Medical and Applied Science, Central Queensland University, Rockhampton, Queensland, Australia
| | - Rhys Tague
- School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, New South Wales, Australia
| | - Anthony J Maeder
- College of Nursing & Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Richard R Rosenkranz
- Department of Food Nutrition Dietetics and Health, Kansas State University, Manhattan, Kansas, USA
| | - W Kerry Mummery
- Faculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada
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25
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Kolt GS, Wood T, Duncan MJ, Caperchione CM, Maeder AJ, Rosenkranz RR, Savage TN, Van Italie A, Mummery WK, Vandelanotte C, George ES. The Effect ofa Web-based Physical Activity Promotion Program on Sedentary Behavior. Med Sci Sports Exerc 2018. [DOI: 10.1249/01.mss.0000537010.02629.ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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26
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MacMillan F, George ES, Feng X, Merom D, Bennie A, Cook A, Sanders T, Dwyer G, Pang B, Guagliano JM, Kolt GS, Astell-Burt T. Do Natural Experiments of Changes in Neighborhood Built Environment Impact Physical Activity and Diet? A Systematic Review. Int J Environ Res Public Health 2018; 15:E217. [PMID: 29373567 PMCID: PMC5858286 DOI: 10.3390/ijerph15020217] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2017] [Revised: 01/22/2018] [Accepted: 01/22/2018] [Indexed: 11/25/2022]
Abstract
Physical activity and diet are major modifiable risk factors for chronic disease and have been shown to be associated with neighborhood built environment. Systematic review evidence from longitudinal studies on the impact of changing the built environment on physical activity and diet is currently lacking. A systematic review of natural experiments of neighborhood built environment was conducted. The aims of this systematic review were to summarize study characteristics, study quality, and impact of changes in neighborhood built environment on physical activity and diet outcomes among residents. Natural experiments of neighborhood built environment change, exploring longitudinal impacts on physical activity and/or diet in residents, were included. From five electronic databases, 2084 references were identified. A narrative synthesis was conducted, considering results in relation to study quality. Nineteen papers, reporting on 15 different exposures met inclusion criteria. Four studies included a comparison group and 11 were pre-post/longitudinal studies without a comparison group. Studies reported on the impact of redeveloping or introducing cycle and/or walking trails (n = 5), rail stops/lines (n = 4), supermarkets and farmers' markets (n = 4) and park and green space (n = 2). Eight/15 studies reported at least one beneficial change in physical activity, diet or another associated health outcome. Due to limitations in study design and reporting, as well as the wide array of outcome measures reported, drawing conclusions to inform policy was challenging. Future research should consider a consistent approach to measure the same outcomes (e.g., using measurement methods that collect comparable physical activity and diet outcome data), to allow for pooled analyses. Additionally, including comparison groups wherever possible and ensuring high quality reporting is essential.
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Affiliation(s)
- Freya MacMillan
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
- Translational Health Research Institute, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Emma S George
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Xiaoqi Feng
- Population Wellbeing and Environment Research Lab (PowerLab), Faculty of Social Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.
- Menzies Centre for Health Policy, University of Sydney, Sydney, NSW 2006, Australia.
| | - Dafna Merom
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Andrew Bennie
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Amelia Cook
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Taren Sanders
- Institute for Positive Psychology and Education, Australian Catholic University, North Sydney, NSW 2060, Australia.
| | - Genevieve Dwyer
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Bonnie Pang
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Justin M Guagliano
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, NSW 2751, Australia.
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), Faculty of Social Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.
- Menzies Centre for Health Policy, University of Sydney, Sydney, NSW 2006, Australia.
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Alley SJ, Kolt GS, Duncan MJ, Caperchione CM, Savage TN, Maeder AJ, Rosenkranz RR, Tague R, Van Itallie AK, Kerry Mummery W, Vandelanotte C. The effectiveness of a web 2.0 physical activity intervention in older adults - a randomised controlled trial. Int J Behav Nutr Phys Act 2018; 15:4. [PMID: 29329587 PMCID: PMC5766986 DOI: 10.1186/s12966-017-0641-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 12/21/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Interactive web-based physical activity interventions using Web 2.0 features (e.g., social networking) have the potential to improve engagement and effectiveness compared to static Web 1.0 interventions. However, older adults may engage with Web 2.0 interventions differently than younger adults. The aims of this study were to determine whether an interaction between intervention (Web 2.0 and Web 1.0) and age group (<55y and ≥55y) exists for website usage and to determine whether an interaction between intervention (Web 2.0, Web 1.0 and logbook) and age group (<55y and ≥55y) exists for intervention effectiveness (changes in physical activity). METHODS As part of the WALK 2.0 trial, 504 Australian adults were randomly assigned to receive either a paper logbook (n = 171), a Web 1.0 (n = 165) or a Web 2.0 (n = 168) physical activity intervention. Moderate to vigorous physical activity was measured using ActiGraph monitors at baseline 3, 12 and 18 months. Website usage statistics including time on site, number of log-ins and number of step entries were also recorded. Generalised linear and intention-to-treat linear mixed models were used to test interactions between intervention and age groups (<55y and ≥55y) for website usage and moderate to vigorous physical activity changes. RESULTS Time on site was higher for the Web 2.0 compared to the Web 1.0 intervention from baseline to 3 months, and this difference was significantly greater in the older group (OR = 1.47, 95%CI = 1.01-2.14, p = .047). Participants in the Web 2.0 group increased their activity more than the logbook group at 3 months, and this difference was significantly greater in the older group (moderate to vigorous physical activity adjusted mean difference = 13.74, 95%CI = 1.08-26.40 min per day, p = .03). No intervention by age interactions were observed for Web 1.0 and logbook groups. CONCLUSIONS Results partially support the use of Web 2.0 features to improve adults over 55 s' engagement in and behaviour changes from web-based physical activity interventions. TRIAL REGISTRATION ACTRN ACTRN12611000157976 , Registered 7 March 2011.
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Affiliation(s)
- Stephanie J. Alley
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD 4702 Australia
| | - Gregory S. Kolt
- School of Science and Health, Western Sydney University, Sydney, NSW 2751 Australia
| | - Mitch J. Duncan
- School of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308 Australia
| | - Cristina M. Caperchione
- School of Health and Exercise Science, University of British Columbia, Kelowna, BC V1V 1V7 Canada
| | - Trevor N. Savage
- Griffith University, School of Allied Health Sciences, Gold Coast, QLD 4222 Australia
| | - Anthony J. Maeder
- School of Health Science, Flinders University, Adelaide, SA 5042 Australia
| | - Richard R. Rosenkranz
- Department of Food, Nutrition, Dietetics and Health, Kansas State University, Manhattan, KS 66506 USA
| | - Rhys Tague
- School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW 2560 Australia
| | - Anetta K. Van Itallie
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD 4702 Australia
| | - W. Kerry Mummery
- Faculty of Physical Education and Recreation, University of Alberta, Edmonton, AB T6G 2H9 Canada
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD 4702 Australia
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Kolt GS, Finch CF, Hargreaves M. Reflecting on 20 years of the Journal of Science and Medicine in Sport. J Sci Med Sport 2017; 20:1130-1131. [PMID: 29195656 DOI: 10.1016/j.jsams.2017.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Vandelanotte C, Kolt GS, Caperchione CM, Savage TN, Rosenkranz RR, Maeder AJ, Van Itallie A, Tague R, Oldmeadow C, Mummery WK, Duncan MJ. Effectiveness of a Web 2.0 Intervention to Increase Physical Activity in Real-World Settings: Randomized Ecological Trial. J Med Internet Res 2017; 19:e390. [PMID: 29133282 PMCID: PMC5703981 DOI: 10.2196/jmir.8484] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Revised: 09/02/2017] [Accepted: 09/04/2017] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The translation of Web-based physical activity intervention research into the real world is lacking and becoming increasingly important. OBJECTIVE To compare usage and effectiveness, in real-world settings, of a traditional Web 1.0 Web-based physical activity intervention, providing limited interactivity, to a Web 2.0 Web-based physical activity intervention that includes interactive features, such as social networking (ie, status updates, online "friends," and personalized profile pages), blogs, and Google Maps mash-ups. METHODS Adults spontaneously signing up for the freely available 10,000 Steps website were randomized to the 10,000 Steps website (Web 1.0) or the newly developed WALK 2.0 website (Web 2.0). Physical activity (Active Australia Survey), quality of life (RAND 36), and body mass index (BMI) were assessed at baseline, 3 months, and 12 months. Website usage was measured continuously. Analyses of covariance were used to assess change over time in continuous outcome measures. Multiple imputation was used to deal with missing data. RESULTS A total of 1328 participants completed baseline assessments. Only 3-month outcomes (224 completers) were analyzed due to high attrition at 12 months (77 completers). Web 2.0 group participants increased physical activity by 92.8 minutes per week more than those in the Web 1.0 group (95% CI 28.8-156.8; P=.005); their BMI values also decreased more (-1.03 kg/m2, 95% CI -1.65 to -0.41; P=.001). For quality of life, only the physical functioning domain score significantly improved more in the Web 2.0 group (3.6, 95% CI 1.7-5.5; P<.001). The time between the first and last visit to the website (3.57 vs 2.22 weeks; P<.001) and the mean number of days the website was visited (9.02 vs 5.71 days; P=.002) were significantly greater in the Web 2.0 group compared to the Web 1.0 group. The difference in time-to-nonusage attrition was not statistically significant between groups (Hazard Ratio=0.97, 95% CI 0.86-1.09; P=.59). Only 21.99% (292/1328) of participants (n=292 summed for both groups) were still using either website after 2 weeks and 6.55% (87/1328) were using either website after 10 weeks. CONCLUSIONS The website that provided more interactive and social features was more effective in improving physical activity in real-world conditions. While the Web 2.0 website was visited significantly more, both groups nevertheless displayed high nonusage attrition and low intervention engagement. More research is needed to examine the external validity and generalizability of Web-based physical activity interventions. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry: ACTRN12611000253909; https://anzctr.org.au /Trial/Registration/TrialReview.aspx?id=336588&isReview=true (Archived by WebCite at http://www.webcitation.org/6ufzw 2HxD).
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Affiliation(s)
| | | | | | - Trevor N Savage
- School of Allied Health Sciences, Griffith University, Southport, Australia
| | | | | | | | - Rhys Tague
- Western Sydney University, Sydney, Australia
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MacMillan F, Karamacoska D, El Masri A, McBride KA, Steiner GZ, Cook A, Kolt GS, Klupp N, George ES. A systematic review of health promotion intervention studies in the police force: study characteristics, intervention design and impacts on health. Occup Environ Med 2017; 74:913-923. [PMID: 29066612 DOI: 10.1136/oemed-2017-104430] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 09/04/2017] [Accepted: 09/08/2017] [Indexed: 11/03/2022]
Abstract
To systematically review studies of health promotion intervention in the police force. Four databases were searched for articles reporting on prepost single and multigroup studies in police officers and trainees. Data were extracted and bias assessed to evaluate study characteristics, intervention design and the impact of interventions on health. Database searching identified 25 articles reporting on 21 studies relevant to the aims of this review. Few studies (n=3) were of long duration (≥6 months). Nine of 21 studies evaluated structured physical activity and/or diet programmes only, 5 studies used education and behaviour change support-only interventions, 5 combined structured programmes with education and behaviour change support, and 2 studies used computer prompts to minimise sedentary behaviour. A wide array of lifestyle behaviour and health outcomes was measured, with 11/13 multigroup and 8/8 single-group studies reporting beneficial impacts on outcomes. High risk of bias was evident across most studies. In those with the lowest risk of bias (n=2), a large effect on blood pressure and small effects on diet, sleep quality, stress and tobacco use, were reported. Health promotion interventions can impact beneficially on health of the police force, particularly blood pressure, diet, sleep, stress and tobacco use. Limited reporting made comparison of findings challenging. Combined structured programmes with education and behaviour change support and programmes including peer support resulted in the most impact on health-related outcomes.
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Affiliation(s)
- Freya MacMillan
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
- Translational Health Research Institute, Western Sydney University, Sydney, New South Wales, Australia
| | - Diana Karamacoska
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
- Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Aymen El Masri
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Kate A McBride
- Translational Health Research Institute, Western Sydney University, Sydney, New South Wales, Australia
| | - Genevieve Z Steiner
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
- NICM, Western Sydney University, Sydney, New South Wales, Australia
| | - Amelia Cook
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Nerida Klupp
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Emma S George
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
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Lonsdale C, Lester A, Owen KB, White RL, Peralta L, Kirwan M, Diallo TMO, Maeder AJ, Bennie A, MacMillan F, Kolt GS, Ntoumanis N, Gore JM, Cerin E, Cliff DP, Lubans DR. An internet-supported school physical activity intervention in low socioeconomic status communities: results from the Activity and Motivation in Physical Education (AMPED) cluster randomised controlled trial. Br J Sports Med 2017; 53:341-347. [DOI: 10.1136/bjsports-2017-097904] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2017] [Revised: 08/25/2017] [Accepted: 09/10/2017] [Indexed: 11/03/2022]
Abstract
ObjectiveQuality physical education (PE) is the cornerstone of comprehensive school physical activity (PA) promotion programmes. We tested the efficacy of a teacher professional learning intervention, delivered partially via the internet, designed to maximise opportunities for students to be active during PE lessons and enhance adolescents’ motivation towards PE and PA.MethodsA two-arm cluster randomised controlled trial with teachers and Grade 8 students from secondary schools in low socioeconomic areas of Western Sydney, Australia. The Activity and Motivation in Physical Education (AMPED) intervention for secondary school PE teachers included workshops, online learning, implementation tasks and mentoring sessions. The primary outcome was the proportion of PE lesson time that students spent in moderate-to-vigorous physical activity (MVPA), measured by accelerometers at baseline, postintervention (7–8 months after baseline) and maintenance (14–15 months). Secondary outcomes included observed PE teachers’ behaviour during lessons, students’ leisure-time PA and students’ motivation.ResultsStudents (n=1421) from 14 schools completed baseline assessments and were included in linear mixed model analyses. The intervention had positive effects on students’ MVPA during lessons. At postintervention, the adjusted mean difference in the proportion of lesson time spent in MVPA was 5.58% (p<0.001, approximately 4 min/lesson). During the maintenance phase, this effect was 2.64% (p<0.001, approximately 2 min/lesson). The intervention had positive effects on teachers’ behaviour, but did not impact students’ motivation.ConclusionsAMPED produced modest improvements in MVPA and compares favourably with previous interventions delivered exclusively face-to-face. Online teacher training could help facilitate widespread dissemination of professional learning interventions.Trial registration numberACTRN12614000184673.
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Lonsdale C, Hall AM, Murray A, Williams GC, McDonough SM, Ntoumanis N, Owen K, Schwarzer R, Parker P, Kolt GS, Hurley DA. Communication Skills Training for Practitioners to Increase Patient Adherence to Home-Based Rehabilitation for Chronic Low Back Pain: Results of a Cluster Randomized Controlled Trial. Arch Phys Med Rehabil 2017; 98:1732-1743.e7. [DOI: 10.1016/j.apmr.2017.02.025] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 02/09/2017] [Accepted: 02/26/2017] [Indexed: 02/06/2023]
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El Masri A, Kolt GS, Astell-Burt T, George ES. Lifestyle behaviours of Lebanese-Australians: Cross-sectional findings from The 45 and Up Study. PLoS One 2017; 12:e0181217. [PMID: 28704508 PMCID: PMC5509310 DOI: 10.1371/journal.pone.0181217] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 06/28/2017] [Indexed: 11/23/2022] Open
Abstract
Little is known regarding the health and lifestyle behaviours of Australians of Lebanese ethnicity. The available evidence suggests that Australians of Lebanese ethnicity who were born in Lebanon reportedly have higher rates of cardiovascular disease-related and type 2 diabetes-related complications when compared with the wider Australian population. The aim of this study is to compare lifestyle behaviours of middle-aged to older adults of Lebanese ethnicity born in Lebanon, Australia, and elsewhere to those of Australian ethnicity. Participants were 37,419 Australians aged ≥45 years, from the baseline dataset of The 45 and Up Study which included 4 groups of interest: those of Australian ethnicity (n = 36,707) [Reference]; those of Lebanese ethnicity born in Lebanon (n = 346); 302 those of Lebanese ethnicity born in Australia (n = 302); and those of Lebanese ethnicity born elsewhere (n = 64). Multilevel logistic regression was used to examine the odds of those of Lebanese ethnicity reporting suboptimal lifestyle behaviours (insufficient physical activity, prolonged sitting, smoking, sleep duration, and various diet-related behaviours) relative to those of Australian ethnicity. Multilevel linear regression was used to examine the clustering of suboptimal lifestyle behaviours through a ‘lifestyle index’ score ranging from 0–9 (sum of all lifestyle behaviours for each subject). The lifestyle index score was lower among Lebanese-born (-0.36, 95% CI -0.51, -0.22, p<0.001) and Australian-born (-0.17, 95% CI -0.32, -0.02, p = 0.031) people of Lebanese ethnicity in comparison to those of Australian ethnicity. Those of Lebanese ethnicity born in Lebanon had higher odds of reporting suboptimal lifestyle behaviours for physical activity, smoking, and sleep duration, and lower odds of reporting optimal lifestyle behaviours for sitting time, fruit, processed meat, and alcohol consumption, when compared with those of Australian ethnicity. Differences in the individual lifestyle behaviours for those of Lebanese ethnicity born in Australia and elsewhere compared with those of Australian ethnicity were fewer. Lifestyle behaviours of those of Lebanese ethnicity vary by country of birth and a lower level of suboptimal lifestyle behaviour clustering was apparent among Lebanese-born and Australian-born middle-aged to older adults of Lebanese ethnicity.
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Affiliation(s)
- Aymen El Masri
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia.,Early Start Research Institute, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Emma S George
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
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Abstract
Psychological factors related to injury were investigated in 115 competitive gymnasts. The subjects were administered the Profile of Mood States-Bipolar Form (POMS-BI) and Competitive State Anxiety Inventory-2 (CSAI-2). Direct discriminant function analysis showed that the best predictors for distinguishing between gymnasts with four or more injuries and those with fewer than four injuries were CSAI-2 Cognitive Anxiety and the POMS-BI Composed-Anxious and Energetic-Tired scores. The more-injured gymnasts were more anxious and tired, and reported higher scores on the CSAI-2 Cognitive Anxiety scale. Males could be differentiated from females by scores on the CSAI-2 Self-confidence and the POMS-BI Composed-Anxious, Confident-Unsure, Energetic-Tired, and Clearheaded-Confused scales. The female gymnasts were more anxious, unsure, tired, and confused, and reported lower levels of CSAI-2 Self-confidence. The findings were interpreted as further evidence of the anxiety-injury link in athletes.
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Affiliation(s)
- G S Kolt
- School of Physiotherapy, Faculty of Health Sciences, La Trobe University, Carlton, Victoria, Australia
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Kolt GS, Demirdjian R, George ES, Smith E. Relationship Between Time Spent Sedentary and Psychological Distress in Middle-Aged and Older Adults. Med Sci Sports Exerc 2017. [DOI: 10.1249/01.mss.0000518183.34937.f9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Arora A, Doan J, Martinez J, Phan C, Kolt GS, Bhole S, Harris MF, Scott JA, Hector D. Content analysis of nutritional information in paediatric oral health education leaflets. BMC Pediatr 2017; 17:58. [PMID: 28219353 PMCID: PMC5319061 DOI: 10.1186/s12887-017-0814-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 02/16/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The aim of this study was to determine if paediatric oral health education leaflets with a food and nutritional focus provide messages that are clear and consistent with the current Australian Dietary Guidelines and the Infant Feeding Guidelines. METHODS Forty-three leaflets aimed at parents were sourced from Australian state and territory Health Departments, oral health industry partners and commercial organisations, and a content analysis was performed. Recommendations on food and drink type, consumption frequency and general diet and nutrition advice were considered and cross-referenced with the Australian Dietary Guidelines and the Infant Feeding Guidelines to identify areas of consistency and discrepancy. RESULTS Twenty leaflets recommended reducing the consumption of sugary and/or acidic food, while 23 leaflets recommended reducing the consumption of sugary and/or acidic drinks. The majority of the leaflets advised water (n = 35) and milk (n = 23) to drink. Although 33 leaflets encouraged a healthy diet, seven of these did not specify what a healthy diet was. Twenty-eight leaflets provided early childhood-related (0-2 years) feeding advice. Confusing messages were found in nine leaflets, with ambiguous recommendations that were open to individual interpretation. CONCLUSIONS There were some inconsistencies between the leaflets and the dietary and infant feeding guidelines in Australia; and across the leaflets, as not all important messages were included in any one leaflet. Government Health Departments and other relevant agencies should ensure that advisory messages regarding diet, particularly those with dental implications, are clear, complete and consistent across all dental educational leaflets.
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Affiliation(s)
- Amit Arora
- School of Science and Health, Western Sydney University, Campbelltown, NSW Australia
- Discipline of Paediatrics and Child Health, Sydney Medical School, Westmead, NSW Australia
- Oral Health Service, Sydney Local Health District and Sydney Dental Hospital, NSW Health, Surry Hills, NSW Australia
- COHORTE Research Group, Ingham Institute of Applied Medical Research, Liverpool, NSW Australia
| | - Jenny Doan
- Faculty of Dentistry, The University of Sydney, Westmead, NSW Australia
| | | | - Colin Phan
- Faculty of Dentistry, The University of Sydney, Westmead, NSW Australia
| | - Gregory S. Kolt
- School of Science and Health, Western Sydney University, Campbelltown, NSW Australia
| | - Sameer Bhole
- Oral Health Service, Sydney Local Health District and Sydney Dental Hospital, NSW Health, Surry Hills, NSW Australia
- Faculty of Dentistry, The University of Sydney, Westmead, NSW Australia
| | - Mark Fort Harris
- Centre for Primary Health Care and Equity, UNSW Australia, Randwick, NSW Australia
| | - Jane Anne Scott
- School of Public Health, Curtin University, Perth, WA Australia
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Kolt GS, Rosenkranz RR, Vandelanotte C, Caperchione CM, Maeder AJ, Tague R, Savage TN, Van IA, Mummery WK, Oldmeadow C, Duncan MJ. Using Web 2.0 applications to promote health-related physical activity: findings from the WALK 2.0 randomised controlled trial. Br J Sports Med 2017; 51:1433-1440. [PMID: 28049624 PMCID: PMC5654748 DOI: 10.1136/bjsports-2016-096890] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2016] [Indexed: 12/22/2022]
Abstract
Background/Aim Web 2.0 internet technology has great potential in promoting physical activity. This trial investigated the effectiveness of a Web 2.0-based intervention on physical activity behaviour, and the impact on website usage and engagement. Methods 504 (328 women, 126 men) insufficiently active adult participants were randomly allocated to one of two web-based interventions or a paper-based Logbook group. The Web 1.0 group participated in the existing 10 000 Steps programme, while the Web 2.0 group participated in a Web 2.0-enabled physical activity intervention including user-to-user interaction through social networking capabilities. ActiGraph GT3X activity monitors were used to assess physical activity at four points across the intervention (0, 3, 12 and 18 months), and usage and engagement were assessed continuously through website usage statistics. Results Treatment groups differed significantly in trajectories of minutes/day of physical activity (p=0.0198), through a greater change at 3 months for Web 2.0 than Web 1.0 (7.3 min/day, 95% CI 2.4 to 12.3). In the Web 2.0 group, physical activity increased at 3 (mean change 6.8 min/day, 95% CI 3.9 to 9.6) and 12 months (3.8 min/day, 95% CI 0.5 to 7.0), but not 18 months. The Logbook group also increased physical activity at 3 (4.8 min/day, 95% CI 1.8 to 7.7) and 12 months (4.9 min/day, 95% CI 0.7 to 9.1), but not 18 months. The Web 1.0 group increased physical activity at 12 months only (4.9 min/day, 95% CI 0.5 to 9.3). The Web 2.0 group demonstrated higher levels of website engagement (p=0.3964). Conclusions In comparison to a Web 1.0 intervention, a more interactive Web 2.0 intervention, as well as the paper-based Logbook intervention, improved physical activity in the short term, but that effect reduced over time, despite higher levels of engagement of the Web 2.0 group. Trial registration number ACTRN12611000157976.
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Affiliation(s)
- Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Richard R Rosenkranz
- Department of Food, Nutrition, Dietetics and Health, Kansas State University, Manhattan, Kansas, USA
| | - Corneel Vandelanotte
- School of Human Health and Social Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - Cristina M Caperchione
- School of Health and Exercise Science, University of British Columbia, Kelowna, British Columbia, Canada
| | - Anthony J Maeder
- School of Health Science, Flinders University, Adelaide, South Australia, Australia
| | - Rhys Tague
- School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, New South Wales, Australia
| | - Trevor N Savage
- School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia
| | - Itallie Anetta Van
- School of Human Health and Social Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - W Kerry Mummery
- Faculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | | | - Mitch J Duncan
- School of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia
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Bennell KL, Campbell PK, Egerton T, Metcalf B, Kasza J, Forbes A, Bills C, Gale J, Harris A, Kolt GS, Bunker SJ, Hunter DJ, Brand CA, Hinman RS. Telephone Coaching to Enhance a Home‐Based Physical Activity Program for Knee Osteoarthritis: A Randomized Clinical Trial. Arthritis Care Res (Hoboken) 2016; 69:84-94. [DOI: 10.1002/acr.22915] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 03/24/2016] [Accepted: 04/12/2016] [Indexed: 01/22/2023]
Affiliation(s)
| | | | | | - Ben Metcalf
- University of MelbourneMelbourne Victoria Australia
| | | | | | | | - Janette Gale
- HealthChange AustraliaSydney New South Wales Australia
| | | | | | - Stephen J. Bunker
- Medibank, Docklands, Victoria, Australia, and Monash UniversityMelbourne Victoria Australia
| | - David J. Hunter
- Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of SydneySydney New South Wales Australia
| | - Caroline A. Brand
- Melbourne EpiCentre, University of Melbourne, Melbourne Health, and Monash UniversityMelbourne Victoria Australia
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Astell-Burt T, Feng X, Kolt GS, Jalaludin B. Is More Area-Level Crime Associated With More Sitting and Less Physical Activity? Longitudinal Evidence From 37,162 Australians. Am J Epidemiol 2016; 184:913-921. [PMID: 27856450 PMCID: PMC5161084 DOI: 10.1093/aje/kww106] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Accepted: 02/23/2016] [Indexed: 11/14/2022] Open
Abstract
Does a rise in crime result in increased sitting time and a reduction in physical activity? We used unobserved ("fixed")-effects models to examine associations between change in objectively measured crime (nondomestic violence, malicious damage, breaking and entering, and stealing, theft, and robbery) in Australia and measures of sitting time, walking, and moderate-to-vigorous physical activity (MVPA) in a residentially stable sample of 17,474 men and 19,688 women at baseline (2006-2008) and follow-up (2009-2010). Possible sources of time-varying confounding included age, income, economic status, relationship (couple) status, and physical functioning. In adjusted models, an increase in all crimes of 10 counts per 1,000 residents was associated with an increase in sitting time (hours/day) among men (β = 0.21, 95% confidence interval (CI): 0.17, 0.25) and women (β = 0.18, 95% CI: 0.15, 0.22). Counterintuitively, the same increase in crime was also associated with an increase in the weekly number of ≥10-minute walking sessions (men: rate ratio (RR) = 1.01 (95% CI: 1.01, 1.02); women: RR = 1.00 (95% CI: 0.99, 1.01)) and MVPA sessions (men: RR = 1.02 (95% CI: 1.02, 1.03); women: RR = 1.01 (95% CI: 1.00, 1.02)). Similar associations were found for the other area-level crime indicators. While area-level crime prevention may be considered a lever for promoting more active lifestyles, these results suggest that the association is not unequivocal.
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Affiliation(s)
- Thomas Astell-Burt
- Correspondence to Dr. Thomas Astell-Burt, Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, University of Wollongong, Northfields Avenue, Wollongong, NSW 2522, Australia (e-mail: )
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Duncan MJ, Rosenkranz RR, Vandelanotte C, Caperchione CM, Rebar AL, Maeder AJ, Tague R, Savage TN, van Itallie A, Mummery WK, Kolt GS. What is the impact of obtaining medical clearance to participate in a randomised controlled trial examining a physical activity intervention on the socio-demographic and risk factor profiles of included participants? Trials 2016; 17:580. [PMID: 27927226 PMCID: PMC5142331 DOI: 10.1186/s13063-016-1715-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Accepted: 11/17/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Requiring individuals to obtain medical clearance to exercise prior to participation in physical activity interventions is common. The impact this has on the socio-demographic characteristic profiles of participants who end up participating in the intervention is not clear. METHODS As part of the multi-component eligibility screening for inclusion in a three-arm randomised controlled trial examining the efficacy of a web-based physical activity intervention, individuals interested in participating were required to complete the Physical Activity Readiness Questionnaire (PAR-Q). The PAR-Q identified individuals as having lower or higher risk. Higher-risk individuals were required to obtain medical exercise clearance prior to enrolment. Comparisons of the socio-demographic characteristics of the lower- and higher-risk individuals were performed using t tests and chi-square tests (p = 0.05). RESULTS A total of 1244 individuals expressed interest in participating, and 432 were enrolled without needing to undergo further screening. Of the 251 individuals required to obtain medical clearance, 148 received clearance, 15 did not receive clearance and 88 did not return any form of clearance. A total of 105 individuals were enrolled after obtaining clearance, and the most frequent reason for being required to seek clearance was for using blood pressure/heart condition medication. Higher-risk individuals were significantly older, had a higher body mass index and engaged in more sedentary behaviour than lower-risk individuals. CONCLUSIONS Use of more inclusive participant screening protocols that maintain high levels of participant safety are encouraged. Allowing individuals to obtain medical clearance to participate can result in including a more diverse population likely to benefit most from participation. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ( ACTRN12611000157976 ). Registered on 9 February 2011.
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Affiliation(s)
- Mitch J Duncan
- School of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW, Australia.
| | - Richard R Rosenkranz
- Department of Food, Nutrition, Dietetics and Health, Kansas State University, Manhattan, KS, USA
| | - Corneel Vandelanotte
- School of Human Health and Social Sciences, Central Queensland University, Rockhampton, QLD, Australia
| | - Cristina M Caperchione
- School of Health and Exercise Science, University of British Columbia, Kelowna, BC, Canada
| | - Amanda L Rebar
- School of Human Health and Social Sciences, Central Queensland University, Rockhampton, QLD, Australia
| | - Anthony J Maeder
- School of Health Science, Flinders University, Adelaide, SA, Australia
| | - Rhys Tague
- School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW, Australia
| | - Trevor N Savage
- School of Science and Health, Western Sydney University, Sydney, NSW, Australia
| | - Anetta van Itallie
- School of Human Health and Social Sciences, Central Queensland University, Rockhampton, QLD, Australia
| | - W Kerry Mummery
- Faculty of Physical Education and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Sydney, NSW, Australia
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Lonsdale C, Sanders T, Cohen KE, Parker P, Noetel M, Hartwig T, Vasconcellos D, Kirwan M, Morgan P, Salmon J, Moodie M, McKay H, Bennie A, Plotnikoff R, Cinelli RL, Greene D, Peralta LR, Cliff DP, Kolt GS, Gore JM, Gao L, Lubans DR. Erratum to: Scaling-up an efficacious school-based physical activity intervention: Study protocol for the 'Internet-based Professional Learning to help teachers support Activity in Youth' (iPLAY) cluster randomized controlled trial and scale-up implementation evaluation. BMC Public Health 2016; 16:1026. [PMID: 27716137 PMCID: PMC5043574 DOI: 10.1186/s12889-016-3724-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Chris Lonsdale
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia.
| | - Taren Sanders
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Kristen E Cohen
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Philip Parker
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Michael Noetel
- Institute for Positive Psychology and Education and School of Exercise Science, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Tim Hartwig
- School of Exercise Science, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Diego Vasconcellos
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Morwenna Kirwan
- Physical Activity Research Group, School of Human Health and Social Sciences, Central Queensland University, Building 18, Yaamba Road, Rockhampton, QLD, 4702, Australia
| | - Philip Morgan
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Jo Salmon
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Marj Moodie
- Deakin Health Economics, Centre for Population Health Research, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Heather McKay
- Center for Hip Health and Mobility, University of British Columbia, 7/F, 2635 Laurel Street, Vancouver, BC, V5Z 1 M9, Canada
| | - Andrew Bennie
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Ron Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Renata L Cinelli
- School of Education, Australian Catholic University, 250 Victoria Parade East, Melbourne, VIC, 3002, Australia
| | - David Greene
- School of Exercise Science, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Louisa R Peralta
- Faculty of Education and Social Work, University of Sydney, Sydney, NSW, 2006, Australia
| | - Dylan P Cliff
- Early Start Research Institute, School of Education, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Jennifer M Gore
- Teachers and Teaching Research Centre, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Lan Gao
- Deakin Health Economics, Centre for Population Health Research, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - David R Lubans
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
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Lonsdale C, Sanders T, Cohen KE, Parker P, Noetel M, Hartwig T, Vasconcellos D, Kirwan M, Morgan P, Salmon J, Moodie M, McKay H, Bennie A, Plotnikoff R, Cinelli RL, Greene D, Peralta LR, Cliff DP, Kolt GS, Gore JM, Gao L, Lubans DR. Scaling-up an efficacious school-based physical activity intervention: Study protocol for the 'Internet-based Professional Learning to help teachers support Activity in Youth' (iPLAY) cluster randomized controlled trial and scale-up implementation evaluation. BMC Public Health 2016; 16:873. [PMID: 27557641 PMCID: PMC4997792 DOI: 10.1186/s12889-016-3243-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 06/20/2016] [Indexed: 12/02/2022] Open
Abstract
Background Despite the health benefits of regular physical activity, most children are insufficiently active. Schools are ideally placed to promote physical activity; however, many do not provide children with sufficient in-school activity or ensure they have the skills and motivation to be active beyond the school setting. The aim of this project is to modify, scale up and evaluate the effectiveness of an intervention previously shown to be efficacious in improving children’s physical activity, fundamental movement skills and cardiorespiratory fitness. The ‘Internet-based Professional Learning to help teachers support Activity in Youth’ (iPLAY) study will focus largely on online delivery to enhance translational capacity. Methods/Design The intervention will be implemented at school and teacher levels, and will include six components: (i) quality physical education and school sport, (ii) classroom movement breaks, (iii) physically active homework, (iv) active playgrounds, (v) community physical activity links and (vi) parent/caregiver engagement. Experienced physical education teachers will deliver professional learning workshops and follow-up, individualized mentoring to primary teachers (i.e., Kindergarten – Year 6). These activities will be supported by online learning and resources. Teachers will then deliver the iPLAY intervention components in their schools. We will evaluate iPLAY in two complementary studies in primary schools across New South Wales (NSW), Australia. A cluster randomized controlled trial (RCT), involving a representative sample of 20 schools within NSW (1:1 allocation at the school level to intervention and attention control conditions), will assess effectiveness and cost-effectiveness at 12 and 24 months. Students’ cardiorespiratory fitness will be the primary outcome in this trial. Key secondary outcomes will include students’ moderate-to-vigorous physical activity (via accelerometers), fundamental movement skill proficiency, enjoyment of physical education and sport, cognitive control, performance on standardized tests of numeracy and literacy, and cost-effectiveness. A scale-up implementation study guided by the RE-AIM framework will evaluate the reach, effectiveness, adoption, implementation, and maintenance of the intervention when delivered in 160 primary schools in urban and regional areas of NSW. Discussion This project will provide the evidence and a framework for government to guide physical activity promotion throughout NSW primary schools and a potential model for adoption in other states and countries. Trial registration Australia and New Zealand Clinical Trials Registry (ACTRN12616000731493). Date of registration: June 3, 2016.
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Affiliation(s)
- Chris Lonsdale
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia.
| | - Taren Sanders
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Kristen E Cohen
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Philip Parker
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Michael Noetel
- Institute for Positive Psychology and Education and School of Exercise Science, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Tim Hartwig
- School of Exercise Science, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Diego Vasconcellos
- Institute for Positive Psychology and Education, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Morwenna Kirwan
- Physical Activity Research Group, School of Human Health and Social Sciences, Central Queensland University, Building 18, Yaamba Road, Rockhampton, QLD, 4702, Australia
| | - Philip Morgan
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Jo Salmon
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Marj Moodie
- Deakin Health Economics, Centre for Population Health Research, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Heather McKay
- Center for Hip Health and Mobility, University of British Columbia, 7/F, 2635 Laurel Street, Vancouver, BC, V5Z 1 M9, Canada
| | - Andrew Bennie
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Ron Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Renata L Cinelli
- School of Education, Australian Catholic University, 250 Victoria Parade East, Melbourne, VIC, 3002, Australia
| | - David Greene
- School of Exercise Science, Australian Catholic University, Edward Clancy Building 167-169 Albert St, Strathfield, NSW, 2135, Australia
| | - Louisa R Peralta
- Faculty of Education and Social Work, University of Sydney, Sydney, NSW, 2006, Australia
| | - Dylan P Cliff
- Early Start Research Institute, School of Education, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Jennifer M Gore
- Teachers and Teaching Research Centre, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Lan Gao
- Deakin Health Economics, Centre for Population Health Research, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - David R Lubans
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
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Feng X, Croteau K, Kolt GS, Astell-Burt T. Does retirement mean more physical activity? A longitudinal study. BMC Public Health 2016; 16:605. [PMID: 27439914 PMCID: PMC4955250 DOI: 10.1186/s12889-016-3253-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2015] [Accepted: 06/29/2016] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Evidence on physical activity (PA) and transitions out of full-time employment in middle-to-older age is mainly cross-sectional and focused upon retirement. The purpose was to examine trajectories in PA before and after transitions out of full-time employment. METHODS Data were obtained for 5,754 people in full-time employment aged 50-75 from the US Health and Retirement Survey. Logistic regression was used to examine trajectories in twice-weekly participation in light, moderate and vigorous PA among those transitioning to part-time work, semi-retirement, full retirement, or economic inactivity due to disability, in comparison to those remaining in full-time employment. RESULTS Twice weekly participation in vigorous and light physical activity changed little for those who remained in full-time employment, while moderate physical activity decreased between baseline and follow-up (OR 0.95, 95 % CI 0.91, 0.99). Differences in physical activity according to transitional categories at follow-up were evident. Baseline differences in physical activity across all intensities were greatest among participants transitioning from full-time to part-time employment compared to those who remained in full-time employment throughout the study period (vigorous OR 1.41 95 % CI 1.23, 1.61; moderate OR 1.28 95 % CI 1.12, 1.46; light OR 1.29 95 % CI 1.12, 1.49). Those transitioning to unemployment were already among the least physically active at baseline, irrespective of intensity (albeit, with 95 % CIs spanning unity). Those transitioning to full-time retirement were also among the least active (e.g. vigorous OR 0.71 95 % CI 0.61, 0.81; moderate OR 0.80 95 % CI 0.71, 0.90). Declines in physical activity were reported for those transitioning to economic inactivity due to a disability (vigorous OR 0.29 95 % CI 0.14, 0.64; moderate OR 0.56 95 % CI 0.33, 0.95; light OR 0.34 95 % CI 0.19, 0.63). Physical activity increased regardless of intensity among participants transitioning to semi-retirement (p > 0.05) and full retirement (e.g. vigorous OR 1.28 95 % CI 1.09, 1.51; moderate OR 1.24 95 % CI 1.07, 1.43). Light physical activity increased for those transitioning to unemployment (OR 1.40 95 % CI 1.02, 1.93), though less change was evident in moderate or vigorous physical activity. CONCLUSIONS The amount and intensity of PA varies by the type of transition out of full-time employment among people in middle-to-older age.
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Affiliation(s)
- Xiaoqi Feng
- Early Start Research Institute, University of Wollongong, Northfields Ave, Wollongong, NSW, 2522, Australia. .,School of Health and Society, University of Wollongong, Northfields Ave, Wollongong, 2522, NSW, Australia. .,Illawarra Health and Medical Research Institute, Northfields Ave, Wollongong, 2522, NSW, Australia.
| | - Karen Croteau
- St Joseph's College of Maine, Standish, 04084, Maine, USA
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Thomas Astell-Burt
- Early Start Research Institute, University of Wollongong, Northfields Ave, Wollongong, NSW, 2522, Australia.,School of Health and Society, University of Wollongong, Northfields Ave, Wollongong, 2522, NSW, Australia.,Illawarra Health and Medical Research Institute, Northfields Ave, Wollongong, 2522, NSW, Australia
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Kolt GS, Campbell PK, Egerton T, Metcalf B, Kasza J, Forbes A, Bills C, Gale J, Harris A, Bunker SJ, Hunter DJ, Brand CA, Hinman RS, Bennell KL. Telephone Coaching to Enhance Physiotherapy-Prescribed Physical Activity for Knee Osteoarthritis. Med Sci Sports Exerc 2016. [DOI: 10.1249/01.mss.0000486796.41096.d9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Caperchione CM, Duncan MJ, Rosenkranz RR, Vandelanotte C, Van Itallie AK, Savage TN, Hooker C, Maeder AJ, Mummery WK, Kolt GS. Recruitment, screening, and baseline participant characteristics in the WALK 2.0 study: A randomized controlled trial using web 2.0 applications to promote physical activity. Contemp Clin Trials Commun 2016; 2:25-33. [PMID: 29736444 PMCID: PMC5935835 DOI: 10.1016/j.conctc.2015.12.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Revised: 11/25/2015] [Accepted: 12/02/2015] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE To describe in detail the recruitment methods and enrollment rates, the screening methods, and the baseline characteristics of a sample of adults participating in the Walk 2.0 Study, an 18 month, 3-arm randomized controlled trial of a Web 2.0 based physical activity intervention. METHODS A two-fold recruitment plan was developed and implemented, including a direct mail-out to an extract from the Australian Electoral Commission electoral roll, and other supplementary methods including email and telephone. Physical activity screening involved two steps: a validated single-item self-report instrument and the follow-up Active Australia Questionnaire. Readiness for physical activity participation was also based on a two-step process of administering the Physical Activity Readiness Questionnaire and, where needed, further clearance from a medical practitioner. RESULTS Across all recruitment methods, a total of 1244 participants expressed interest in participating, of which 656 were deemed eligible. Of these, 504 were later enrolled in the Walk 2.0 trial (77% enrollment rate) and randomized to the Walk 1.0 group (n = 165), the Walk 2.0 group (n = 168), or the Logbook group (n = 171). Mean age of the total sample was 50.8 years, with 65.2% female and 79.1% born in Australia. CONCLUSION The results of this recruitment process demonstrate the successful use of multiple strategies to obtain a diverse sample of adults eligible to take part in a web-based physical activity promotion intervention. The use of dual screening processes ensured safe participation in the intervention. This approach to recruitment and physical activity screening can be used as a model for further trials in this area.
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Affiliation(s)
| | - Mitch J. Duncan
- School of Medicine and Public Health & Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
| | | | - Corneel Vandelanotte
- School of Human, Health and Social Sciences, CQUniversity, Rockhampton, Australia
| | | | - Trevor N. Savage
- School of Science and Health, Western Sydney University, Sydney, Australia
| | - Cindy Hooker
- School of Human, Health and Social Sciences, CQUniversity, Rockhampton, Australia
| | - Anthony J. Maeder
- School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia
| | - W. Kerry Mummery
- Faculty of Physical Education and Recreation, University of Alberta, Edmonton, Canada
| | - Gregory S. Kolt
- School of Science and Health, Western Sydney University, Sydney, Australia
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Astell-Burt T, Feng X, Kolt GS. Large-scale investment in green space as an intervention for physical activity, mental and cardiometabolic health: study protocol for a quasi-experimental evaluation of a natural experiment. BMJ Open 2016; 6:e009803. [PMID: 27053266 PMCID: PMC4823445 DOI: 10.1136/bmjopen-2015-009803] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
INTRODUCTION 'Green spaces' such as public parks are regarded as determinants of health, but evidence from tends to be based on cross-sectional designs. This protocol describes a study that will evaluate a large-scale investment in approximately 5280 hectares of green space stretching 27 km north to south in Western Sydney, Australia. METHODS AND ANALYSIS A Geographic Information System was used to identify 7272 participants in the 45 and Up Study baseline data (2006-2008) living within 5 km of the Western Sydney Parklands and some of the features that have been constructed since 2009, such as public access points, advertising billboards, walking and cycle tracks, BBQ stations, and children's playgrounds. These data were linked to information on a range of health and behavioural outcomes, with the second wave of data collection initiated by the Sax Institute in 2012 and expected to be completed by 2015. Multilevel models will be used to analyse potential change in physical activity, weight status, social contacts, mental and cardiometabolic health within a closed sample of residentially stable participants. Comparisons between persons with contrasting proximities to different areas of the Parklands will provide 'treatment' and 'control' groups within a 'quasi-experimental' study design. In line with expectations, baseline results prior to the enhancement of the Western Sydney Parklands indicated virtually no significant differences in the distribution of any of the outcomes with respect to proximity to green space preintervention. ETHICS AND DISSEMINATION Ethical approval was obtained for the 45 and Up Study from the University of New South Wales Human Research Ethics Committee. Ethics approval for this study was obtained from the University of Western Sydney Ethics Committee. Findings will be disseminated through partner organisations (the Western Sydney Parklands and the National Heart Foundation of Australia), as well as to policymakers in parallel with scientific papers and conference presentations.
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Affiliation(s)
- Thomas Astell-Burt
- School of Health and Society, University of Wollongong, Wollongong, NSW, Australia
- Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia
- Early Start Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Xiaoqi Feng
- School of Health and Society, University of Wollongong, Wollongong, NSW, Australia
- Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia
- Early Start Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Penrith, NSW, Australia
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Lonsdale C, Lester A, Owen KB, White RL, Moyes I, Peralta L, Kirwan M, Maeder A, Bennie A, MacMillan F, Kolt GS, Ntoumanis N, Gore JM, Cerin E, Diallo TMO, Cliff DP, Lubans DR. An Internet-supported Physical Activity Intervention Delivered in Secondary Schools Located in Low Socio-economic Status Communities: Study Protocol for the Activity and Motivation in Physical Education (AMPED) Cluster Randomized Controlled Trial. BMC Public Health 2016; 16:17. [PMID: 26740092 PMCID: PMC4704292 DOI: 10.1186/s12889-015-2583-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Accepted: 12/08/2015] [Indexed: 12/12/2022] Open
Abstract
Background School-based physical education is an important public health initiative as it has the potential to provide students with regular opportunities to participate in moderate-to-vigorous physical activity (MVPA). Unfortunately, in many physical education lessons students do not engage in sufficient MVPA to achieve health benefits. In this trial we will test the efficacy of a teacher professional development intervention, delivered partially via the Internet, on secondary school students’ MVPA during physical education lessons. Teaching strategies covered in this training are designed to (i) maximize opportunities for students to be physically active during lessons and (ii) enhance students’ autonomous motivation towards physical activity. Method A two-arm cluster randomized controlled trial with allocation at the school level (intervention vs. usual care control). Teachers and Year 8 students in government-funded secondary schools in low socio-economic areas of the Western Sydney region of Australia will be eligible to participate. During the main portion of the intervention (6 months), teachers will participate in two workshops and complete two implementation tasks at their school. Implementation tasks will involve video-based self-reflection via the project’s Web 2.0 platform and an individualized feedback meeting with a project mentor. Each intervention school will also complete two group peer-mentoring sessions at their school (one per term) in which they will discuss implementation with members of their school physical education staff. In the booster period (3 months), teachers will complete a half-day workshop at their school, plus one online implementation task, and a group mentoring session at their school. Throughout the entire intervention period (main intervention plus booster period), teachers will have access to online resources. Data collection will include baseline, post-intervention (7–8 months after baseline) and maintenance phase (14–15 months after baseline) assessments. Research assistants blinded to group allocation will collect all data. The primary outcome will be the proportion of physical education lesson time that students spend in MVPA. Secondary outcomes will include leisure-time physical activity, subjective well-being, and motivation towards physical activity. Discussion The provision of an online training platform for teachers could help facilitate more widespread dissemination of evidence-based interventions compared with programs that rely exclusively on face-to-face training. Trial registration Australia and New Zealand Clinical Trials Registry-ACTRN12614000184673. Registration date: February 19, 2014. Electronic supplementary material The online version of this article (doi:10.1186/s12889-015-2583-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Chris Lonsdale
- Institute for Positive Psychology and Education, Australian Catholic University, 25A Barker Road, Strathfield, NSW, 2135, Australia.
| | - Aidan Lester
- Institute for Positive Psychology and Education, Australian Catholic University, 25A Barker Road, Strathfield, NSW, 2135, Australia.
| | - Katherine B Owen
- Institute for Positive Psychology and Education, Australian Catholic University, 25A Barker Road, Strathfield, NSW, 2135, Australia.
| | - Rhiannon L White
- Institute for Positive Psychology and Education, Australian Catholic University, 25A Barker Road, Strathfield, NSW, 2135, Australia.
| | - Ian Moyes
- Institute for Positive Psychology and Education, Australian Catholic University, 25A Barker Road, Strathfield, NSW, 2135, Australia.
| | - Louisa Peralta
- Faculty of Education and Social Work, University of Sydney, Sydney, NSW, 2006, Australia.
| | - Morwenna Kirwan
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Anthony Maeder
- School Computing, Engineering and Mathematics, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Andrew Bennie
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Freya MacMillan
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Gregory S Kolt
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Nikos Ntoumanis
- School of Psychology and Speech Pathology, Curtin University, Kent Street, Bentley, Perth, Western Australia, 6102, Australia.
| | - Jennifer M Gore
- School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia.
| | - Ester Cerin
- Center for Physical Activity and Nutrition, Faculty of Health, Deakin University, 221 Burwood Highway, Burwood, Victoria, 3125, Australia. .,School of Public Health, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
| | - Thierno M O Diallo
- Institute for Positive Psychology and Education, Australian Catholic University, 25A Barker Road, Strathfield, NSW, 2135, Australia.
| | - Dylan P Cliff
- Early Start Research Institute, School of Education, University of Wollongong, Wollongong, NSW, 2522, Australia.
| | - David R Lubans
- Priority Research Center in Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia.
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Kolt GS. 12 is bigger and better than 6 – Moving to monthly issues. J Sci Med Sport 2016; 19:1. [DOI: 10.1016/j.jsams.2015.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Rosenkranz RR, Duncan MJ, Caperchione CM, Kolt GS, Vandelanotte C, Maeder AJ, Savage TN, Mummery WK. Validity of the Stages of Change in Steps instrument (SoC-Step) for achieving the physical activity goal of 10,000 steps per day. BMC Public Health 2015; 15:1197. [PMID: 26620188 PMCID: PMC4666193 DOI: 10.1186/s12889-015-2539-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 11/23/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Physical activity (PA) offers numerous benefits to health and well-being, but most adults are not sufficiently physically active to afford such benefits. The 10,000 steps campaign has been a popular and effective approach to promote PA. The Transtheoretical Model posits that individuals have varying levels of readiness for health behavior change, known as Stages of Change (Precontemplation, Contemplation, Preparation, Action, and Maintenance). Few validated assessment instruments are available for determining Stages of Change in relation to the PA goal of 10,000 steps per day. The purpose of this study was to assess the criterion-related validity of the SoC-Step, a brief 10,000 steps per day Stages of Change instrument. METHODS Participants were 504 Australian adults (176 males, 328 females, mean age = 50.8 ± 13.0 years) from the baseline sample of the Walk 2.0 randomized controlled trial. Measures included 7-day accelerometry (Actigraph GT3X), height, weight, and self-reported intention, self-efficacy, and SoC-Step: Stages of Change relative to achieving 10,000 steps per day. Kruskal-Wallis H tests with pairwise comparisons were used to determine whether participants differed by stage, according to steps per day, general health, body mass index, intention, and self-efficacy to achieve 10,000 steps per day. Binary logistic regression was used to test the hypothesis that participants in Maintenance or Action stages would have greater likelihood of meeting the 10,000 steps goal, in comparison to participants in the other three stages. RESULTS Consistent with study hypotheses, participants in Precontemplation had significantly lower intention scores than those in Contemplation (p = 0.003) or Preparation (p < 0.001). Participants in Action or Maintenance stages were more likely to achieve ≥10,000 steps per day (OR = 3.11; 95 % CI = 1.66,5.83) compared to those in Precontemplation, Contemplation, or Preparation. Intention (p < 0.001) and self-efficacy (p < 0.001) to achieve 10,000 steps daily differed by stage, and participants in the Maintenance stage had higher general health status and lower body mass index than those in Precontemplation, Contemplation and Preparation stages (p < 0.05). CONCLUSIONS This brief SoC-Step instrument appears to have good criterion-related validity for determining Stages of Change related to the public health goal of 10,000 steps per day. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry reference: ACTRN12611000157976 World Health Organization Universal Trial Number: U111-1119-1755.
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Affiliation(s)
- Richard R Rosenkranz
- Kansas State University, Manhattan, USA. .,Western Sydney University, Sydney, Australia.
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50
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Kolt GS. Where we come from shapes where we go – The Journal of Science and Medicine in Sport. J Sci Med Sport 2015; 18:625. [DOI: 10.1016/j.jsams.2015.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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