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Feasibility and preliminary efficacy of the ‘HEYMAN’ healthy lifestyle program for young men: a pilot randomised controlled trial
Open accessAbstract
BACKGROUND: In young men, unhealthy lifestyle behaviours can be detrimental to their physical and/or mental health and set them on a negative health trajectory into adulthood. Despite this, there is a lack of evidence to guide development of effective health behaviour change interventions for young men. This study assessed the feasibility and preliminary efficacy of the 'HEYMAN' (Harnessing Ehealth to enhance Young men's Mental health, Activity and Nutrition) healthy lifestyle program for young men. METHODS: A pilot RCT with 50 young men aged 18-25 years randomised to the HEYMAN intervention (n = 26) or waitlist control (n = 24). HEYMAN was a 3-month intervention, targeted for young men to improve eating habits, activity levels and well-being. Intervention development was informed by a participatory research model (PRECEDE-PROCEED). Intervention components included eHealth support (website, wearable device, Facebook support group), face-to-face sessions (group and individual), a personalised food and nutrient report, home-based resistance training equipment and a portion control tool. Outcomes included: feasibility of research procedures (recruitment, randomisation, data collection and retention) and of intervention components. Generalized linear mixed models estimated the treatment effect at 3-months for the primary outcomes: pedometer steps/day, diet quality, well-being and several secondary outcomes. RESULTS: A 7-week recruitment period was required to enrol 50 young men. A retention rate of 94% was achieved at 3-months post-intervention. Retained intervention participants (n = 24) demonstrated reasonable usage levels for most program components and also reported reasonable levels of program component acceptability for attractiveness, comprehension, usability, support, satisfaction and ability to persuade, with scores ranging from 3.0 to 4.6 (maximum 5). No significant intervention effects were observed for the primary outcomes of steps/day (1012.7, 95% CI = -506.2, 2531.6, p = 0.191, d = 0.36), diet quality score (3.6, 95% CI = -0.4, 7.6, p = 0.081, d = 0.48) or total well-being score (0.4, 95% CI = -1.6, 2.5, p = 0.683, d = 0.11). Significant intervention effects were found for daily vegetable servings, energy-dense, nutrient-poor foods, MVPA, weight, BMI, fat mass, waist circumference and cholesterol (all p < 0.05). CONCLUSIONS: The HEYMAN program demonstrated feasibility in assisting young men to make some positive lifestyle changes. This provides support for the conduct of a larger, fully-powered RCT, but with minor amendments to research procedures and intervention components required. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12616000350426 .
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“Two of the included studies [34,44] reported a significant increase in daily steps, 4 studies [30,34,36,53] reported a significant increase in MVPA, and 2 studies [45,47] reported a significant increase in energy expenditure for the intervention group compared with control.”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [30]
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“A total of 26 studies were included across all meta-analyses [21,22,29-48,50-53].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [30]
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“Thirteen studies included young adults (≤39.9 years) [30-34,37,38,42,44,46-48,50], 15 included middle-aged adults (40-64.9 years) [21,22,29,35,36,39-41, 43,45,51-54], and 1 study included adults aged over 65 years [49].”
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“Moreover, 17 studies reported activity tracker adherence data [21,22,30,32,34,35, 37,38,40,41,43-45,50-52,54], with 13 of these studies [21,22,30,34,35,40,41,43,44,50-52,54] reporting activity tracker wear on at least 50% of the study intervention days.”
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“Furthermore, 17 studies specified that the participant must have regular access to the internet, a computer, tablet, and/or smartphone [21,30,33,35-37,39,41-47,51-53]”
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“This is most likely because of the inclusion of a greater range of intervention types when compared with other outcome measures and the method by which MVPA was measured, including 2 studies [30,48] that subjectively measured MVPA and another study [39] that presented MVPA data in bouts.”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [30]
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Metadata
- Authors
- Ashton, L. M., Morgan, P. J., Hutchesson, M. J., Rollo, M. E., & Collins, C. E.
- Affiliations
- University of Newcastle Australia (AU)
- Corresponding author
- Collins, Clare E.
- Venue
- Nutrition Journal
- Published
- 2017-01-13
- Volume
- 16
- Issue
- 1
- Pages
- 2-2
- ISSN
- 1475-2891 (ISSN-L)
- PMC
- PMC5237246
- OpenAlex
- W2576530535
- Cited by
- 111
- References
- 78
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 9 · 2023: 9 · 2022: 16 · 2021: 19 · 2020: 22 · 2019: 10 · 2018: 7 · 2017: 3
- FWCI
- 18.54
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Nutrition Journal (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- NOVA (University of Newcastle Australia) (submittedVersion, cc-by)
- Funders
- Hunter Medical Research Institute (14-30)
- National Health and Medical Research Council (Senior Research Fellowship)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Lifestyle Studies
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Keywords
- young men, healthy lifestyle intervention, e-health, physical activity, diet quality, well-being, mental health, resistance training, wearable devices, Facebook support groups, intervention feasibility, treatment acceptability, PRECEDE-PROCEED, health behavior change, university students, portion control, recruitment and retention
- MeSH terms
- Healthy Lifestyle, Adolescent, Adult, Body Weight, Diet, Feasibility Studies, Health Promotion, Humans, Male, New Zealand, Nutritional Status, Pilot Projects, Body Mass Index, Waist Circumference, Young Adult
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