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Research Article

Sun-safe behavior and perceptions during winter sports: an Austrian study based on the Theory of Planned Behavior

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 316-323 | Received 28 Oct 2020, Accepted 08 Feb 2022, Published online: 21 Feb 2022

ABSTRACT

As a preventable disease, skin cancer is a public health issue in Austria. Most sun-safety studies focus on people’s activities in summer, but little is known about sun-protective behavior in winter. Based on the Theory of Planned Behavior (TPB), this study examines psychological perceptions among people who engage in winter sports in Austria. Following a TPB-based belief elicitation study, a consequent survey was conducted among 114 participants (51.8% female; Mage = 29.54 years) in South Austria. Intention, attitude, subjective norm, perceived behavioral control, and risk perception showed strong and significant associations with sun-safe behavior among people who engage in winter sports. The TPB framework explained a large portion of variance in sun-safe behavior (75%) and intention (73%). Gender differences have been identified in TPB-variables as well as several beliefs. Based on the utility of the TPB, our findings suggest guidelines for sun-safety in winter sports settings. Gender differences are in line with previous research, highlighting the vulnerability of men to sun damage during winter sports.

Introduction

Ultraviolet (UV) radiation can cause early skin ageing and skin cancer (D’Orazio et al., Citation2013; Gonzaga, Citation2009). Skin cancer’s incidence rate increases yearly and its prevalence is expected to double from 2009 to 2030 in Austria (Statistik Austria, Citation2015). As skin cancer is preventable (Linos et al., Citation2016), it is important to understand the psychological mechanisms of sun-safe behavior to develop health education.

Austria is known for summer and winter sports (Statistik Austria, Citation2020). While sun-safe behavior during summer sports is well studied (Bruce et al., Citation2017), sun-safety in winter sports needs further investigations. As UV-radiation raises with altitude (Blumthaler et al., Citation1997) and snow reflects up to 90% of the UV-radiation (Chadyšienė & Girgždys, Citation2008), people who engage in winter sports are at higher risk for skin damage.

Little is known about perceptions and beliefs about sun-safe behavior in winter sport settings. An early study in New Zealand revealed that 48% of winter athletes previously had sunburn experience (Price et al., Citation2006). Similarly, a study undertaken in winter sport resorts in North America found that only 4.4% fully complied to sun-protection advice (Buller et al., Citation2012). A more recent study from the Netherlands found that male and younger participants reported less use of sunscreen and more frequent sunscreen use was associated with higher self-efficacy levels, higher sun-safe intention, more knowledge about sunscreen use, and higher risk perception (Janssen et al., Citation2015).

The Theory of Planned Behavior (TPB; Ajzen, Citation1991) is a plausible framework to examine health-related behaviors. According to the TPB, behavior is determined by intention (i.e. one’s readiness to perform a behavior) and perceived behavioral control (PBC). Intention is influenced by attitude (formed by underlying behavioral beliefs, i.e. advantages and disadvantages), subjective norm (formed by underlying normative beliefs, i.e. important others), and PBC (formed by underlying control beliefs, i.e. barriers and facilitators). The TPB has not yet been applied specifically to sun-safe behavior in winter sport scenarios.

The present study aimed to examine the psychological mechanisms underlying sun-safe behavior among people engaging in winter sports. As risk perception has been found as an associate of sunscreen use (Janssen et al., Citation2015), we hypothesized that adding it would further explain sun-safe intention. Moreover, previous studies suggest that men use less sunscreen than women (Buller et al., Citation2012; Janssen et al., Citation2015), we would also examine the gender differences.

Methods

This study includes a belief elicitation study and a questionnaire survey. The elicitation study was conducted to elicit detect salient beliefs among the target group, as used in previous TPB-based health studies (Leske et al., Citation2014; Nguyen et al., Citation2019; Zhao et al., Citation2018). Thirty people with previous winter sports experience were surveyed ). Content analysis was then conducted based on the data so as to develop the questionnaire scales. Participants were approached at the city center of Klagenfurt and invited to answer our survey after having fully understood the research project and signed the consent form. This study was approved by the university’s ethics committee and the data collection was completed during the winter of 2019.

As shown in , six constructs were measured following the guidelines of the TPB (Fishbein & Ajzen, Citation2010; White et al., Citation2019). Intention, subjective norm, PBC, and risk perception were examined using a 7-point Likert scale. Attitude was measured using four semantic scales. All measures showed a good internal consistency (). Gender, age, educational level, income, and previous winter sports experience were accessed as background information.

Table 1. Scale items and internal consistency for the constructs.

Descriptive analyses were first performed among sun-safe behavior and perceptions. To test the utility of the TPB, hierarchical regression analyses were undertaken using both sun-safe behavior and intention in separate models. To examine gender differences, F-tests were used. Data analysis was conducted with IBM SPSS 25.

Results

Demographic profile and sunscreen use

Among 114 participants (51.8% female; Mage = 29.54 years; SDage = 11.27), the majority (98.6%) had at least a secondary education level. 91.2% of participants had engaged in winter sports more than 5 times previously. Regarding sunscreen use, most participants had experience of using sunscreen during winter sports, only 14.0% respondents did not.

Predicting intention of using sunscreen during winter sports

demonstrates descriptive outcomes of sun-safe variables. All variables are inter-correlated, with the association between intention and sun-safe behavior being the strongest (r = .86, p < .001). Following the TPB, model results from the multiple regression indicated that both intention (B = .78, p < .001) and PBC (B = .14, p = .023) significantly related to sun-safe behavior; two predictors explained 74.7% in the variance of sun-safe behavior ().

Table 2. Descriptive analysis of sunscreen use during winter sports.

Table 3. Multiple regression analyses predicting sunscreen use during winter sports.

When three standard TPB-variables were entered in the regression model (; Set 1), only attitude (B = .62, p < .001) and subjective norm (B = .27, p < .001) were significant, with PBC showing weak evidence (B = .11, p = .086) as a model predictor of sun-safe intention. These three variables explained 72.8% of the variance of intention. By adding risk perception (Set 2), attitude (B = .59, p < .001) and subjective norm (B = .25, p < .001) remained significant, PBC (B = .10, p = .133) and risk perception (B = .08, p = .269) were both nonsignificant. The latter failed to improve the model performance (∆F(1,109) = 1.24, p = .269).

Table 4. Hierarchical regression predicting sunscreen use intention during winter sports.

Gender differences

Females showed higher behavioral and intentional tendencies to use sunscreen during winter sports () and reported a significantly higher level of frequency of sunscreen use compared to men (F(1,111) = 6.55, p = .012). The only nonsignificant gender difference was found on subjective norm (F(1,111) = .39, p = .534). In addition, women showed a stronger risk perception than men (F(1,111) = 8.90, p = .004).

Table 5. Mean (SD) scores of sun safe constructs between men and women who engage in winter sports.

displays 21 specific beliefs from the elicitation study. Similar to the findings in , only beliefs underlying subjective norm (i.e. normative beliefs) showed similar levels between men and women. In contrast, four behavioral and four control beliefs had significant gender differences. Female participants agreed more on the protective functions of applying sunscreen. Similarly, women’s sun-safe behavior was more triggered by environmental factors (e.g. sunlight), product nature (e.g. product design), and their own skin condition (e.g. skin compatibility).

Table 6. Salient sunscreen use beliefs among people who engage in winter sports.

Discussion

To authors’ knowledge, this is the first winter sports sun-safety study using the Theory of Planned Behavior. Over 70% of the variance in sun-safe behavior and intention has been explained, indicating the utility of the model. Findings from this study reveal important guidelines for sun-safety education for people who engage in winter sports.

Whereas the role of PBC has been found relevant for sun-safe intention (Starfelt Sutton & White, Citation2016), it was a nonsignificant predictor for sun-safe intention in our study. However, PBC was significantly associated with sun-safe behavior given the meaningful link between PBC and sun-safe behavior in our study. A similar pattern was seen in an Australian TPB-based sun-protective intervention, where PBC-intention link was nonsignificant in both intervention and control group at baseline, but emerged at post-intervention stage (White et al., Citation2019). Thus, promoting self-efficacy is likely to promote people’s winter sports sun-safe behavior.

Even though it has been suggested that including a measure for perceived susceptibility is reasonable in examining health behavior (Norman et al., Citation1999), risk perception is not a significant predictor in our study. The role of risk perception may be distal to one’s sun-safe intention and action.

Women showed higher values on every dimension of the TPB except for subjective norm. These gender discrepancies are in line with previous sun-safe studies targeting winter sports, consistently suggesting women show more sun-safe behaviors than men (Janssen et al., Citation2015; Price et al., Citation2006). Moreover, the similar level of subjective norm perceived by both genders importantly highlights the difference between summer sports (e.g. swimming) and winter sports (e.g. skiing). While female swimmers conduct their sun-safe behaviors according to social norms (Dixon et al., Citation2011), sun-protection seems to be unrelated to gender-associated norms for people who engage in winter sports. Health education using a population-based form may be effective for both genders.

Limitations of our study include the sample homogeneity as all participants were experienced in winter sports and were recruited from Carinthia, the southernmost Austrian state. Future studies with participants who have mixed winter sports experience and demographic background (e.g. different nationalities) are needed. For example, the beliefs and attitude of first-time skiers can be researched to develop better preventive strategies.

These limitations notwithstanding the study underlines the utility of the TPB as a potential useful framework to develop sun-safe health education among people who engage in winter sports. Brief information-based education via posters and smartphone apps can be implemented in winter sports areas to create people’s sun-safe attitude and controllability over sunscreen application. Given the direct link between PBC and sun-safe behavior, provision of free sunscreen can also be considered by skiing clubs. For foreign visitors, tailored and brief sun-safety tips via online booking procedures can be used to foster a stronger sun-portative attitude.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors have not received any funding or benefits from industry or elsewhere to conduct this study.

References

  • Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
  • Blumthaler, M., Ambach, W., & Ellinger, R. (1997). Increase in solar UV radiation with altitude. Journal of Photochemistry and Photobiology. B, Biology, 39(2), 130–134. https://doi.org/10.1016/S1011-1344(96)00018-8
  • Bruce, A. F., Theeke, L., & Mallow, J. (2017). A state of the science on influential factors related to sun protective behaviors to prevent skin cancer in adults. International Journal of Nursing Sciences, 4(3), 225–235. https://doi.org/10.1016/j.ijnss.2017.05.005
  • Buller, D. B., Andersen, P. A., Walkosz, B. J., Scott, M. D., Maloy, J. A., Dignan, M. B., & Cutter, G. R. (2012). Compliance with sunscreen advice in a survey of adults engaged in outdoor winter recreation at high-elevation ski areas. Journal of the American Academy of Dermatology, 66(1), 63–70. https://doi.org/10.1016/j.jaad.2010.11.044
  • Chadyšienė, R., & Girgždys, A. (2008). Ultraviolet radiation albedo of natural surfaces. Journal of Environmental Engineering and Landscape Management, 16(2), 83–88. https://doi.org/10.3846/1648-6897.2008.16.83-88
  • D’Orazio, J., Jarrett, S., Amaro-Ortiz, A., & Scott, T. (2013). UV radiation and the skin. International Journal of Molecular Sciences, 14(6), 12222–12248. https://doi.org/10.3390/ijms140612222
  • Dixon, H. G., Warne, C. D., Scully, M. L., Wakefield, M. A., & Dobbinson, S. J. (2011). Does the portrayal of tanning in Australian women’s magazines relate to real women’s tanning beliefs and behavior? Health Education & Behavior, 38(2), 132–142. https://doi.org/10.1177/1090198110369057
  • Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. Psychology Press. https://doi.org/10.4324/9780203838020
  • Gonzaga, E. R. (2009). Role of UV light in photodamage, skin aging, and skin cancer: Importance of photoprotection. American Journal of Clinical Dermatology, 10(Suppl. 1), 19–24. https://doi.org/10.2165/0128071-200910001-00004
  • Janssen, E., van Kann, D., Vries, H. D., Lechner, L., & van Osch, L. (2015). Sun protection during snow sports: An analysis of behavior and psychosocial determinants. Health Education Research, 30(3), 380–387. https://doi.org/10.1093/her/cyv013
  • Leske, S., Young, R. M., White, K. M., & Hawkes, A. L. (2014). A qualitative exploration of sun safety beliefs among Australian adults. Australian Psychologist, 49(4), 253–270. https://doi.org/10.1111/ap.12054
  • Linos, E., Katz, K. A., & Colditz, G. A. (2016). Skin cancer-The importance of prevention. JAMA Internal Medicine, 176(10), 1435–1436. https://doi.org/10.1001/jamainternmed.2016.5008
  • Nguyen, T. T. H., White, K. M., Sendall, M. C., & Young, R. M. (2019). Patterns of drinking alcohol and intentions to binge drink among medical students in Vietnam. Health Education Research, 34(4), 447–459. https://doi.org/10.1093/her/cyz019
  • Norman, P., Conner, M., & Bell, R. (1999). The Theory of Planned Behavior and smoking cessation. Health Psychology, 18(1), 89–94. https://doi.org/10.1037/0278-6133.18.1.89
  • Price, J., Ness, A., Leary, S., & Kennedy, C. (2006). Sun-safety behaviors of skiers and snowboarders on the South Island of New Zealand. Journal of Cosmetic Dermatology, 5(1), 39–47. https://doi.org/10.1111/j.1473-2165.2006.00221.x
  • Starfelt Sutton, L. C., & White, K. M. (2016). Predicting sun-protective intentions and behaviours using the Theory of Planned Behaviour: A systematic review and meta-analysis. Psychology & Health, 31(11), 1272–1292. https://doi.org/10.1080/08870446.2016.1204449
  • Statistik Austria. (2015). Trends der Entwicklung von Krebserkrankungen in Österreich: Eine Prognose bis 2030. Wien. https://www.sozialministerium.at/dam/jcr:9ffbb714-65ab-4126-9905-8d0706cde34a/Prognose%20der%20Krebspr%C3%A4valenz%20bis%202030.pdf
  • Statistik Austria. (2020). Ankünfte, Nächtigungen. https://www.statistik.at/web_de/statistiken/wirtschaft/tourismus/beherbergung/ankuenfte_naechtigungen/index.html
  • White, K. M., Zhao, X., Starfelt Sutton, L. C., Young, R. M., Hamilton, K., Hawkes, A. L., & Leske, S. (2019). Effectiveness of a theory-based sun-safe randomised behavioural change trial among Australian adolescents. Psycho-Oncology, 28(3), 505–510. https://doi.org/10.1002/pon.4967
  • Zhao, X., White, K. M., Young, R. M., & Obst, P. L. (2018). Smoking beliefs among Chinese secondary school students: A theory-based qualitative study. Nicotine & Tobacco Research, 20(3), 321–331. https://doi.org/10.1093/ntr/ntx012

Appendix

Table 7. Elicitation study based on the TPB guidelines.