UV photography, masculinity, and college men’s sun protection cognitions

Abstract

This study examined the impact of an ultraviolet (UV) photography intervention and masculinity on college men's sun protection cognitions, including: perceived vulnerability to skin damage, attitudes toward sun protection, willingness to engage in sun protection behaviors, and intentions to receive a skin cancer exam. After completing a baseline survey, participants (N = 152) viewed a black-and-white photo of their face. Half also viewed a photo showing their UV damage. Participants then completed a second survey assessing sun protection cognitions. Regressions revealed that masculinity predicted lower sun protection cognitions, and men in the UV photograph condition reported higher sun protection cognitions. Masculinity by condition interactions showed that the positive effect of UV photography was stronger among masculine men. Negative associations between masculinity and sun protection cognitions were significant only among men who did not receive the intervention. Findings suggest that UV photography is a promising sun protection intervention among masculine men.

A scoping review of risk behaviour interventions in young men

“…In addition one study was a grey literature paper, identified from the clinical trials registry (clinicaltrials.gov) [51]. The number of studies targeting each risk behaviour included 27 (27%) for physical inactivity [52–78], 25 (25%) for alcohol use [65–89], 21 (21%) for unsafe sexual behaviour [51, 79–98], 5 (5%) for poor diet [99–103], 5 (5%) for unsafe vehicle driving [104–108], 4 (4%) for tobacco smoking [109–112], 2 (2%) for recreational drug use [113, 114] and 1 (1%) for tanning/sun exposure [115]. There were 10 studies (10%) that assessed multiple risk behaviours [116–125] (of these 3 studies targeted poor diet and physical inactivity [120, 122, 123], 2 studies targeted alcohol use and recreational drug use [117, 121], 1 study targeted alcohol use and unsafe sexual behaviour [118], 1 study targeted poor diet, physical inactivity and tobacco smoking [116], 1 study targeted tobacco smoking, alcohol use and recreational drug use [119], 1 study targeted alcohol use and physical inactivity [125] and 1 study targeted unsafe vehicle driving and alcohol use [124]).…”

“…Of the 100 included studies, 46 included young male participants only with 18 (18% of total studies and 39.1% of young adult male only studies) [52–54, 57, 58, 60, 61, 64–73, 76] for physical inactivity, 14 (14% of total studies and 30.4% of young adult male only studies) for unsafe sexual behaviour [51, 80, 82, 85–91, 94, 96–98], 4 (4% of total studies and 8.7% of young adult male only studies) for alcohol use [126–129], 2 (2% of total studies and 4.3% of young adult male only studies) for unsafe vehicle driving [104, 105] 1 (1% of total studies and 2.2% of young adult male only studies) for tobacco smoking [110], 1 (1% of total studies and 2.2% of young adult male only studies) for poor diet [103], and 1 (1% of total studies and 2.2% of young adult male only studies) for tanning/sun exposure [115]. Also 5 (5% of total studies and 10.9% of young adult male only studies) of the studies with only young adult male participants targeted multiple risk behaviours [116, 119, 122, 124, 125].…”

“…The interventions were conducted across several continents, with most conducted in North America (n = 63, 63%) [45, 51, 57–59, 62, 63, 68, 73–75, 77, 78, 80, 82, 85–94, 96, 97, 99–101, 103, 106, 109, 111–113, 115, 117, 118, 121–123, 125, 126, 129–147] (the majority of these were conducted in the USA n = 61). The remaining interventions were carried out in Europe (n = 18, 18%) [52, 53, 55, 56, 60, 61, 70, 81, 95, 98, 102, 104, 110, 116, 119, 127, 128, 148], Australasia (n = 8, 8%) [54, 65, 66, 105, 108, 120, 124, 149], Asia (n = 6, 6%) [64, 67, 71, 72, 107, 114], South America (n = 3, 3%) [69, 79, 83], Africa (n = 1, 1%) [76] and one intervention (1%) was implemented in multiple countries across two continents (USA, Ecuador, Peru and Brazil) [84].…”

“…Of the 100 included studies there were 62 (62%) randomized controlled trials [51–57, 59, 62–73, 75, 77, 78, 82, 84–86, 90, 92, 93, 96, 103, 105, 108, 109, 112, 113, 116, 118–120, 123–125, 127–131, 133–135, 138–140, 143–149], 16 (16%) case series [57, 60, 61, 74, 76, 80, 91, 94, 99–101, 110, 115, 117, 121, 136], 9 (9%) non-randomized controlled trials [87, 95, 98, 102, 104, 107, 122, 137, 141], 7 (7%) cluster randomized controlled trials [79, 81, 83, 111, 126, 132, 142], 4 (4%) cluster controlled studies [45, 88, 97, 114] and 2 (2%) interrupted time series [89, 106]. The number of papers for each study design and reported risk behaviour is provided in Table 3.…”

Effects of perceived weight discrimination on willingness to adopt unhealthy behaviours: influence of genomic information

“…BW has been measured in research on several health risk behaviors including drug use (Gibbons et al, 2010) and risky sex (Stock, Gibbons, Peterson, & Gerrard, 2013;Roberts, Gibbons, Kingsbury, & Gerrard, 2013), and health-promoting behaviors such as smoking cessation (Gerrard, Gibbons, Lane, & Stock, 2005), and sun protection (Matterne, Diepgen, & Weisshaar, 2011;Walsh & Stock, 2012). In many cases, willingness to engage in a certain behavior is an independent predictor of actual behavior in the future (controlling for more deliberate intentions to engage in the behavior) (Gerrard et al, 2008).…”