Many Australian young men (18-25 years) fail to meet recommendations in national dietary or physical activity (PA) guidelines. However, there is a lack of understanding of their perspectives on PA and diet to inform intervention design. This study examined young men’s motivators and barriers to healthy eating and PA, along with differences by demographic and behavioral factors. A cross-sectional online survey was completed by 282 men aged 18 to 25 years in Australia. Results identified the most common motivators for healthy eating included improving health (63.5%), body image (52.3%), and increasing energy (32.1%). Motivators for PA included improving body image (44.6%), fitness (44.2%), and health (41.0%). Common barriers to healthy eating were access to unhealthy foods (61.1%), time to cook/prepare healthy foods (55.0%), and motivation to cook healthy foods (50.7%). Barriers for PA included motivation (66.3%), time (57.8%), and cost of equipment/facilities (33.3%). Significant differences (p < .01) in motivators to healthy eating and/or PA were identified for BMI category, marital status, PA level, alcohol intake, and stress levels. Significant differences were identified for barriers to healthy eating and/or PA by BMI, PA level, stress, and fruit and vegetable intake, assessed using Pearson’s chi-square test. Findings suggest that promotion of benefits related to health, appearance/body image, increased energy and fitness, and addressing key barriers including motivation, time, financial restraints, and accessibility of unhealthy foods, could engage young men in improving lifestyle behaviors. Differences by demographic and behavioral factors suggest development of tailored programs to address diversity among young men may be required.

Poor eating habits are common during young adulthood and influence chronic disease morbidity. This systematic review evaluates the effectiveness of interventions aiming to improve dietary intake among young adults and, identifies which behaviour change techniques (BCTs) are most effective. Six electronic databases were searched for RCTs published until October 2018, and evaluating behavioural interventions assessing change in dietary intake in young adults (17–35 years). Of the 18,779 articles identified, 54 were included. Forty studies focused on fruit and/or vegetable intake, of which 63% showed a significant between-group difference in favour of the intervention group. Meta-analysis (n = 17) demonstrated a significant increase in fruit and vegetable intake of +68.6 g/day after three months of intervention and +65.8 g/day for interventions >3 months when compared to control. A meta-analysis (n = 5) on total energy intake found no significant differences between groups. The BCTs with the highest effectiveness ratio were habit formation (100%), salience of consequences (83%) and adding objects to the environment (70%). The review highlights the potential of behavioural interventions to improve young adults’ fruit and vegetable intake but was less convincing for other dietary outcomes. Due to the lack of studies including each BCT, the BCTs imperative to success could not be identified.

There is a lack of understanding of young men’s perspectives in obesity-related research. This study aims to: (1) identify young men’s perceived motivators and barriers in adopting healthy eating and physical activity behaviours, and (2) explore any differences in responses by weight status categories. Ten focus groups (32-63 minutes; 3-9 participants per group) were conducted with 61 young men (BMI: 25.3 ± 5.1 kg/m2, aged: 18-25 years) from the Hunter region, New South Wales, Australia. There were 35 (57.4 %) healthy weight men and 26 (42.6 %) overweight/ obese men. Three groups were with healthy weight participants, three with overweight/obese participants and four with mixed-BMI participants. Sessions were audio-recorded and transcribed. Data analysis was conducted by an independent researcher using NVIVO10. Motivators for healthy eating grouped into four themes: physical health (e.g. to live longer), sport or performance (e.g. to support their sporting goals), physical appearance (e.g. sexual attractiveness) and social influences (e.g. societal expectations to eat healthy), while key motivators for physical activity were: physical appearance (e.g. sexual attractiveness), social inclusion (e.g. making friends), physical and mental health (e.g. relieve stress) and improvements for sport or performance (e.g. improve fitness). Themes for key barriers to eating healthy were: intrinsic (e.g. perceived effort to adopt healthy eating), logistic (e.g. cost), and social factors (e.g. peer influence), while busy lifestyles (e.g. lack of time), logistic (e.g. cost), cognitive-emotional (e.g. feelings of inferiority) and social factors (e.g. family upbringing) were key barriers for physical activity. Responses varied little by BMI status. This research emphasises the importance of consulting young men when developing healthy lifestyle programs that aim to promote healthy eating and physical activity in young men. Future research is needed to identify the most effective ways to address their motivators and barriers in intervention research.

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. 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. 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). 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. Australian New Zealand Clinical Trials Registry ACTRN12616000350426 .