- Research article
- Open Access
Can adopting skin cancer preventive behaviors among seafarers be increased via a theory-based mobile phone-based text message intervention? A randomized clinical trial
BMC Public Health volume 21, Article number: 134 (2021)
One of the main occupational hazards for seafarers is the long exposure to sunlight. This study aimed to determine the efficacy of a mobile phone-based text message intervention in adopting skin cancer preventive behaviors among a sample of seafarers in Genaveh port located in Bushehr province, Iran.
In this randomized controlled trial, 136 seafarers were randomly selected and assigned to the intervention (n = 68) or a control groups (n = 68). As a theoretical basis, we followed the Protection Motivation Theory (PMT) variables to develop the text messages. The data related to PMT variables and skin cancer preventive behaviors were collected through a questionnaire. Forty-five text messages were designed, pre-tested and sent to the seafarers’ phones in the intervention group in 45 days. Both groups were followed up 1 month after the intervention. Data collected in the two stages were analyzed using paired-samples t-test, ANCOVA, and Chi-square tests.
Following the intervention, the mean scores of adopting skin cancer preventive behaviors (p = 0.001), perceived self-efficacy (p = 0.01), protection motivation (p = 0.02), and fear (p = 0.001) were significantly higher in the intervention group than the control group. There was significant reduction in the response costs (p = 0.05) and perceived rewards (p = 0.01) scores in the intervention group compared with the control group after the intervention. However, there were no significant differences in the perceived vulnerability (p = 0.14), perceived severity (p = 0.09), and response efficacy (p = 0.64) between the two groups after the intervention.
The results of the study indicated the effectiveness of mobile phone-based text message intervention for increasing skin cancer preventive behaviors in Iranian seafarers.
Iranian Registry for Clinical Trial (the link to trial: https://www.irct.ir/trial/7572). Registered 16 July, 2016. Prospectively registered.
Skin cancer is considered as one of the serious public health problems which has affected millions of people worldwide. In many countries, the prevalence of the cancer has been increased in recent years . The results of a study in Iran showed that the incidence of basal cell carcinoma, squamous cell carcinoma and malignant melanoma has had an increasing trend in recent years. For example, the number of registered cases of skin cancer increased from 7320 in 2004 to 9964 in 2008 in this country .
A combination of factors such as increased exposure to ultraviolet (UV) or sunlight, increased outdoor activities, changes in clothing style, increased longevity, ozone depletion, genetics, and immune suppression is probably the cause of the rising incidence rate of this type of cancer .
Solar radiation exposure is a health risk in several groups of workers employed in outdoor occupations permanently such as those who work at sea (e.g. fisherman and seafarers). These workers are identified as the group at risk for the development of skin cancer [4,5,6]. Feister et al. reported that UV index values at tropical and subtropical oceans could exceed UVI = 20, which was more than twice that of typical mid-latitude UV index values . Modenese et al. found that the potential individual UV exposure of the fishermen was between 65 and 542 J/m2. The percentages of the ambient exposure were estimated between 2.5 and 65.3% .
Despite the prevalence of skin cancer among seafarers , many of them are not aware of the risks of the ultraviolet radiation in the sea; some of them enjoy sunbathing a lot ; also, a large number of them do not protect themselves against the sunlight exposure at sea .
Given the importance of adopting sun-protective practices (e.g. wearing long sleeves, hats and sunscreens; avoiding direct exposure to sunlight between 10 am and 4 pm; and limiting exposure to UV light) in the prevention of skin cancer [1, 10], more attention should be paid to holding educational programs through various communication channels to encourage the seafarers to perform sun protective behaviors [5, 11].
One of the communication channels is the short message service (SMS) text-messaging system. The effectiveness of developed interventions based on this channel has been revealed in such studies [12, 13]. Furthermore, using behavioral change theories is recommended to hold educational interventions. The theories may help us to better understand a specific problem in a particular context and attempt to explain the behavior determinants for developing tailored interventions [14, 15].
In the present study, the Protection Motivation Theory (PMT) variables were considered as the conceptual framework for developing text messages. This theoretical framework has been used to develop interventions in the field of skin cancer prevention . The theory was proposed by Rogers in 1975 . Protection motivation is originated in two basic components: (i) threat appraisal and (ii) coping appraisal. The threat appraisal assesses the individuals’ perceptions of the severity of and their susceptibility to the threat. The coping appraisal consists of the individuals’ belief that the recommended behavior will affect the reduction of the threat (i.e. response efficacy) and the idea that the individual is able to perform the recommended behavior (i.e. perceived self-efficacy) .
Given the importance of adopting sun-protective practices in the prevention of skin cancer in seafarers  and the advantages of developing mobile phone-based text message interventions in the behavior change , we conducted the present study.
Aim of the study
The overall goal of the study was to determine the efficacy of a mobile phone-based text message intervention in adopting skin cancer preventive behaviors. As a theoretical basis, the researchers followed the PMT variables for developing text messages.
Design and hypotheses
A randomized controlled trial (parallel type) was conducted in order to determine the effect of a mobile phone-based text message intervention in adopting skin cancer preventive behaviors among a sample of Iranian seafarers. Our main hypothesis was that the mobile phone-based text message intervention would significantly increase the skin cancer preventive behaviors in the intervention group from pre-test to post-test compared to the control group. The study participants were assessed at baseline and at 1-month follow-up.
The participants were recruited from Genaveh port during August to December, 2016.
Genaveh port lies in Bushehr province, south-western Iran. Due to staple sunlight angle and clean atmosphere, Bushehr province has a high intake of sunlight radiation on its surface throughout the year. The results of a study showed that during 2012, there were 208 days (56.83%) with UV index 8–10 and 52 years (14.21%) having UV index 6–7 in this province. The mean of UV index per month from March to September in the province has been reported 10. In addition, the mean of UV index per month from October to March varied between 4 and 8 in the province. As to intake of solar energy, Bushehr province is considered a high radiation area [17, 18]. Literature review showed that skin cancer had a high incidence rate in the southern provinces of Iran, such as Bushehr province .
A total of 136 seafarers were recruited. Trial eligibility criteria were: (i) having willingness and consent to participate in the study, (ii) being fluent in the Persian language, (iii) being seafarers at least for 1 year, (iv) currently residing in the trial area and expecting to be resident for the duration of the trial (v), owning or having, daily access to a cellphone and (vi) having no history of skin cancer. Since only men are employed in seafarer occupation in the port of Genaveh, the study participants were male seafarers. At the first visit, written informed consent was obtained if the participants met all the inclusion criteria.
After the baseline assessment was completed, an independent researcher using a web-based randomization program (Sealed Envelope.com) randomly allocated the participants (n = 136) to either the intervention or control groups (no intervention) at a ratio of 1:1. The researcher involved in the primary outcome assessment remained blind to the allocated treatment group. Due to the nature of the intervention, the participants were not blind to their allocation. A “Welcome” text message was sent to the cell phone of the participants in the intervention group.
The SMS-intervention program development
First, according to the pre-test results regarding PMT variables and skin-cancer preventive behaviors, a total of 45 text messages were designed in Persian. Then, the developed text messages were pre-tested on 15 seafarers (apart from the study participants) in three focus group discussion. After explaining the purpose of the meeting, each message was written on the board and they were asked to discuss the following 10 questions about each message: 1. Who is the target population of this message?, 2. Can you easily understand the concept of the message?, 3. Did the message ask you to do something specific? If yes, What?, 4. Was there anything in the message that you do not believe in? What?, 5. Is there anything in the message that makes you annoyed or ridiculed?, 6. What do you remember about this message?, 7. Did the message contain a specific notion that you do not like? What?, 8. Did the message contain a specific notion that you like? What?, 9. Was the message containing confusing content?, 10. Do you have any suggestions to make this message better?, and 11. Which message did you like the most? Why? . The responses and comments of the participants were written and then applied in the messages. Finally, according to their suggestions, two messages were edited. The final text messages (n = 45) are shown in Table 1. The time and frequency of sending the text messages were mutually agreed by the researcher and the seafarers. Seafarers preferred to receive one message a day at 4.00 pm. For a period of 45 days, one member of the research team sent one of the developed messages (Table 1) daily at a time (4 p.m.) to the participants’ cell phone. Within the first 21 days, the messages focused on perceived vulnerability, perceived severity, and perceived self-efficacy. In days 22–45, the messages focused on response costs, response efficacy, perceived rewards, fear, protection motivation and sun-protective practices. In order to rectify the possible failure of the system, delivery reports of the mobile phones were checked by one of the researchers of the present study.
Procedures to promote the intervention fidelity and reduce the between-group contamination
The seafarers were asked not to share the text messages with others. One of the researchers of the present study was in charge of recording and describing any contact between the participants and the research team.
At baseline assessment, the participants, demographic characteristics including age, education level, marital status, parents’ education level and the history of sunburn in the past month were collected.
The primary outcome of the study was the change in the mean score of skin cancer preventive behaviors from baseline to follow-up. The secondary outcome was the change in the mean scores of the PMT variables from baseline to follow-up. These outcomes were measured using a validated instrument by Morowatisharifabad et al. for assessing the determinants of skin cancer preventive behaviors among Kazeroon farmers using PMT variables . It is noteworthy that permission to use and publish the instrument in the current study was obtained orally from him. The instrument previously has not been published elsewhere. The instrument measured PMT variables in terms of skin cancer prevention and sun protective behaviors among Iranian farmers . Items of the instrument used are shown in Additional file 1. The validity of the items of the instrument was measured using face validity and the qualitative content validity. To do so, a panel including 20 experts in health education and dermatologists studied the items and reflected on the simplicity, clarity and readability, grammar, wording, scoring, and relevance of the items. According to their comments, some unclear questions and minor wording errors were corrected. The internal consistency of the sub-scales was measured by Cronbach’s α. To this end, 20 farmers completed the instrument. Cronbach’s α of the perceived vulnerability, perceived severity, response efficacy, fear, perceived self-efficacy, response costs, perceived rewards, protection motivation (or behavioral intention), and adopting skin cancer preventive behaviors subscales were reported as 0.81, 0.70, 0.84, 0.79, 0.86, 0.80, 0.73, 0.78 and 0.85, respectively .
The duration of the interventions was 45 days, with a follow-up period of one moth.
Baseline data collection
A list of the seafarers’ names in the Port and Maritime Organization of the Islamic Republic of Iran in Genaveh port was generated (n = 1000). Based on the list, one thousand random numbers were generated using R software (version 3.6.0). The first 136 seafarers of the list were selected. One of the researchers contacted with the seafarers’ phone number and informed them about the study objectives. All the participants who were contacted initially (n = 136) agreed to participate in the study and fulfilled the eligibility criteria (Fig. 1). The decision about determining the time of completing the instrument was made with the seafarers’ consent. The instrument was filled out in a private room at the maritime health center of Genaveh port. Eligible participants were provided with the information about the trial and, if willing, entered the study. The participants were free to ask the researcher their questions about the study. After obtaining written informed consent of the seafarers and providing them with detailed contact information including the participant’s cell number, the data were registered in the cell phone of one of the trial researchers. Then, the instruments were completed by the participants.
Follow up to 1 month
The participants were followed 1 month after the education delivered via text messages and completed the instrument again to determine the changes in adopting skin cancer preventive behaviors and PMT variables. The seafarers who missed their scheduled visit for 1 month were actively followed by one of the research staff and their reasons were obtained.
Sample size calculations
The formula “n = (Z 1-α/2+Z1-β)2. (S12+S22)/d2” was used to calculate the sample size. Input data to estimate the needed sample size came from the findings of a pilot study that had been conducted by the present trial researchers. Given that the perceived severity was recognized as a main predictor of adopting sun-safe practices in seafarers , standard deviations of the variable of both intervention and control groups at 1 month (15.67 and 21.35) were used. A total of 136 seafarers (n = 68 per group) provided sufficient statistical power (> 80%) with an alpha of 0.05 (2-sided) to detect the difference of 10 scores in the change in the skin cancer preventive behaviors at 1 month from the baseline compared with the control group over the 1-month study interval, allowing for up to 25% loss to follow up.
The homogeneity of baseline data in demographic characteristics of the intervention and control groups was determined by χ2. The distribution (or normality) of PMT variables and adopting skin cancer preventive behaviors was tested by Kolmogorov–Smirnov test. Since the data were normally distributed, differences in PMT variables and adopting skin cancer preventive behaviors between, before and after the intervention in each group were tested using Student’s paired-samples t test. In addition, differences in PMT variables and adopting skin cancer preventive behaviors between the two groups were also tested using Analysis of Covariance (ANCOVA). In the study, data are expressed as means and standard deviations and all statistical tests were considered significant at the level of 0.05.
This trial was approved by the Research Ethics Committee at Iran University of Medical Sciences (Code: IR.IUMS.1395.28113). A written informed consent was obtained from the participants. This submission adhered to CONSORT guidelines.
Between August 2016 and September 2016, the study participants were selected and randomized. The follow-up for the last recruited participant was completed in December 2016. There was also 2.21% loss to follow up. Three participants in the intervention group were excluded due to personal reasons including having no interest (0.73%) and being on travel (1.47%).
Table 3 summarizes the demographic characteristics of the participants in the two groups. The results of Chi-Square test showed that there was no statistically significant difference between both groups for any of the demographic, PMT and skin cancer preventive behaviors variables before the intervention (Table 2).
Following the intervention, the mean scores of adopting skin cancer preventive behaviors, perceived self-efficacy, protection motivation and fear scores were significantly higher in the intervention group than the control group (Table 3). There were significant reductions in response costs and perceived rewards scores in the intervention group compared with the control group after the intervention. In addition, there were no significant differences in the perceived vulnerability, perceived severity, and response efficacy scores between the groups after the intervention (Table 3).
The comparison of pre- and post-test results in the intervention group showed that there was a significant increase in the perceived vulnerability, perceived severity, response efficacy, fear, perceived self-efficacy, protection motivation (or behavioral intention), and adopting skin cancer preventive behaviors scores. In addition, the response costs and perceived rewards scores showed a significant reduction in the intervention group compared with before the intervention (Table 3).
The comparison of pre- and post-test results in the control group showed that there were significant increases in the perceived vulnerability, perceived severity, response efficacy, fear, and perceived self-efficacy scores. In addition, there were no significant differences in perceived rewards, response costs, protection motivation (or behavioral intention), and adopting skin cancer preventive behaviors scores in the control group compared with before the intervention (Table 3).
The findings of this study showed that adopting skin cancer preventive behaviors among the participants in the intervention group significantly increased after the mobile phone-based text message intervention compared with the control group. This finding is in line with similar studies which showed that use of mobile phone-based interventions can be an effective strategy used to improve cancer prevention behaviors [12, 22, 23]. Further use of mobile phone technology for changing various dimensions of unhealthy lifestyle of seafarers is suggested in Iran.
The findings also showed that three variables including perceived vulnerability, perceived severity and response efficacy did not show significant differences in the intervention group compared with the control group after the intervention. The findings are consistent with the findings of some studies [22, 24, 25]. Of course, several studies have shown that the education intervention had significant effects on these variables [1, 25,26,27]. Probably, one of the reasons for the obtained results was that before the onset of the study, most of the participants in the two groups believed that skin cancer is a serious and fatal disease; everyone may be vulnerable to the disease and adopting sun-protective behaviors may decrease the probability of the risk of the disease in the future. In other words, the participants in both groups had good information regarding skin cancer and its preventive methods before the intervention. Lack of sun-protective behaviors (despite high awareness) among the participants may be related to their high perceived barriers for adopting the behavior, low self-efficacy beliefs and so on. Therefore, the identification of the important predictors of adopting skin cancer prevention behaviors and performing interventions to address the variables is suggested.
In the present study, following the intervention, the mean scores of the perceived self-efficacy, fear, and protection motivation (or behavioral intention) variables significantly increased in the intervention group compared to the control group. The findings are also consistent with, some previous studies [1, 28, 29]. For example, Anderson et al. found that implementing computer-based interventions can improve the perceived self-efficacy of food suppliers for consumption of fat, fiber, fruits, and vegetables . Given the importance of the variables predicting cancer prevention behaviors [1, 30, 31], it is recommended that more attention should be paid to those variables. These theoretical variables can assist in better understanding of the cancer prevention behavior and developing effective efforts.
The results also showed that the mean score of the response costs variable considerably decreased in the intervention group compared with the control group after the intervention. This finding is consistent with those of some similar studies [1, 25, 26, 28]. Response costs in PMT act as barriers in adopting the recommended behavior . Literature also showed that there were many barriers to performing skin cancer prevention behaviors [32, 33]. Reducing or removing the barriers may encourage the individual to perform healthy behaviors [1, 34]. It is noteworthy that in the study, eight messages regarding response costs associated with adopting skin cancer preventive behaviors were developed. These messages tried to provide practical and simple suggestions for the participants to reduce the barriers of the behavior. For example, a message was designed with this content that “Instead of the foreign expensive sunscreens, you can use Iranian sunscreens at a more reasonable price”. These messages could reduce the perceived barriers of adopting sun protective behaviors (such as high prices of sunscreens) and facilitate the behavior among the participants.
In the present study, a significant decrease in the perceived rewards variable was reported in the intervention group compared to the control group after the intervention. This finding is in line with those of Babazadeh et al.  and McClendon et al. . The finding showed that the perceived rewards of long exposure to sunlight such as being delightful in cold weather decreased among the participants in the intervention group. Providing more information about the rewards of adopting sun-protection behavior would be encouraging for the seafarers to get more involved in the process of reducing long exposure to the sunlight.
The important point of our study is that it was the first theory-based cell phone intervention in the cancer prevention field among seafarers. The findings of this study can be useful for health educators and occupational health professionals as well. The limitations of this study were the short follow-up period. In addition, in the study, data were obtained based on a self-report questionnaire, which might cause probable bias in the results.
The results of the study indicated the effectiveness of mobile phone-based text message intervention for increasing skin cancer preventive behaviors in Iranian seafarers. Given that this intervention proved to be effective, it could be applied for other groups of workers employed in outdoor occupations such as farmers, fisherman and traffic police officers who have long exposure to sunlight.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. Please contact the corresponding author for the data requests.
Protection motivation theory
Babazadeh T, Kamran A, Dargahi A, Moradi F, Shariat F, Moghaddam HR. Skin cancer preventive behaviors among rural farmers: an intervention based on protection motivation theory. Med J Islam Repub Iran. 2016;30:444.
Razi S, Enayatrad M, Mohammadian-Hafshejani A, Salehiniya H. The epidemiology of skin cancer and its trend in Iran. Int J Prev Med. 2015;6:64–6.
Leiter U, Eigentler T, Garbe C. Epidemiology of skin cancer. Adv Exp Med Biol. 2014;810:120–40.
Horsham C, Auster J, Sendall MC, Stoneham M, Youl P, Crane P, et al. Interventions to decrease skin cancer risk in outdoor workers: update to a 2007 systematic review. BMC Res Notes. 2014;7:10.
Heydari E, Dehdari T. Sun-protective practices in Iranian seafarers and its psychological predictors. Int Marit Health. 2018;69:201–6.
Modenese A, Pio Ruggieri F, Bisegna F, Borra M, Burattini C, Della Vecchia E, et al. Occupational exposure to solar UV radiation of a group of fishermen working in the Italian north Adriatic Sea. Int J Environ Res Public Health. 2019;16:3001.
Feister U, Meyer G, Kirst U. Solar UV radiation exposure of seamen – Measurements, calibration and model calculations of erythemal irradiance along ship routes. AIP Conf Proc. 2013;1531:860–3 (2013).
Kaerlev L, Hansen J, Hansen HL, Nielsen PS. Cancer incidence among Danish seafarers: a population based cohort study. Occup Environ Med. 2005;62:761–5.
Oldenburg M, Baur X, Schlaich C. Occupational risks and challenges of seafaring. J Occup Health. 2010;52:249–56.
Abedini R, Nasimi M, Pour PN, Etesami I, Al-Asiri S, Tohidinik HR. Skin cancer awareness and sun protection behavior before and following treatment among skin cancer-treated patients. J Cancer Educ. 2019;34:285–90.
Nkanunye CC, Obiechina GO. Health communication strategies as gateway to effective health promotion and well-being. J Med Res Health Educ. 2017;1:13.
Wu Y, Liang Y, Zhou Q, Liu H, Lin G, Cai W, et al. Effectiveness of a short message service intervention to motivate people with positive results in preliminary colorectal cancer screening to undergo colonoscopy: a randomized controlled trial. Cancer. 2019;125:2252–61.
Shapiro JR, Bauer S, Hamer RM, Kordy H, Ward D, Bulik CM. Use of text messaging for monitoring sugar-sweetened beverages, physical activity, and screen time in children: a pilot study. J Nutr Educ Behav. 2008;40:385–91.
Glanz K, Rimer BK, Viswanath K. Health behavior and health education: theory, research and practice. 4th ed: John Wiley & Sons; 2008.
Spahn JM, Reeves RS, Keim KS, Laquatra I, Kellogg M, Jortberg B, et al. State of the evidence regarding behavior change theories and strategies in nutrition counseling to facilitate health and food behavior change. J Am Diet Assoc. 2010;110:879–91.
Conner M, Norman P. Predicting health behaviour: research and practice with social cognition models. 3rd ed: Open University Press; 2015. p. 70–3.
Statistical Center of Iran: The results of the Ultraviolet radiation index information plan in Iran in 2011–2012. Available from: https://www.amar.org.ir › Files › fulltext (Accessed: 17 May 2020) [in Persian].
Asghari M, Vafaei R. Comparative analysis of climate and morphology between traditional patterns and modern approaches: the case of Bushehr's traditional context. Procedia Eng. 2015;118:590–605.
Ghoncheh M, Koohi F, Salehiniya H. Epidemiology and trend of skin cancer incidence in southern Iran. J Dermatol Cosmet. 2015;6(2):85–92 [in Persian].
Flanagan D, Mahler H, Cohen S: How to conduct effective pretests. The AIDSCAP Behavior Change Communication Unit. Available from: https://www.fhi360.org/.../aidscap-how-conduct-effective-pretests-pdf-englis, 2016. Assessed 2016 August 30.
Morowatisharifabad M, Bonyadi F, Ebrahimzadeh Ardakani M, Falahzadeh H, Malekzadeh E. Study of sun protective behaviours for skin cancer prevention and its barriers among Kazeroon farmers. J Toloo-e-behdasht. 2015;13:68–82 (in Persian).
Hingle MD, Snyder AL, McKenzie NE, Thomson CA, Logan RA, Ellison EA, et al. Effects of a short messaging service–based skin cancer prevention campaign in adolescents. Am J Prev Med. 2014;47:617–23.
Lee HY, Koopmeiners JS, Rhee TG, Raveis VH, Ahluwalia JS. Mobile phone text messaging intervention for cervical cancer screening: changes in knowledge and behavior pre-post intervention. Med Internet Res. 2014;16:e196.
Bassett SF, Prapavessis H. A test of an adherence-enhancing adjunct to physiotherapy steeped in the protection motivation theory. Physiother Theor Pr. 2011;27:360–72.
Malmir S, Barati M, Jeihooni AK, Bashirian S, Hazavehei SMM. Effect of an educational intervention based on protection motivation theory on preventing cervical cancer among marginalized women in west Iran. Asian Pac J Cancer Prev. 2018;19:755–61.
Bai Y, Liu Q, Chen X, Gao Y, Gong H, Tan X, et al. Protection motivation theory in predicting intention to receive cervical cancer screening in rural Chinese women. Psychooncology. 2018;27:442–9.
Heydartabar R, Hatefnia E, Kazemnejad A, Ayubi E, Mansori K. The effects of model-based educational intervention on self-medication behavior in mothers with children less than 2- year. Int J Pediatr. 2016;4:3229–38.
Khiyali Z, Ghahremani L, Kaveh MH, Keshavarzi S. The effect of an educational program based on protection motivation theory on pap smear screening behavior among women referring to health centers in Fasa. J Educ Community Health. 2017;3:31–7.
Anderson ES, Winett RA, Wojcik JR, Winett SG, Bowden T. A computerized social cognitive intervention for nutrition behavior: direct and mediated effects on fat, fiber, fruits, and vegetables, self-efficacy, and outcome expectations among food shopper. Ann Behav Med. 2001;23:88–100.
Heydari E, Noroozi A. Comparison of two different educational methods for teachers’ mammography based on the health belief model. Asian Pac J Cancer Prev. 2015;16:6981–6.
Maseudi GR, Hosseini E-O, Mirzaei R, Shahrakipour M, Hosseini SA. The effect of education based on protection motivation theory on the harmful effects of solar rays on male students. Iran J Health Educ Health Promot. 2015;2:322–30.
Gupta AK, Bharadwaj M, Mehrotra R. Skin Cancer concerns in people of color: risk factors and prevention. Asian Pac J Cancer Prev. 2016;17:5257–64.
Fennell KM, Martin K, Wilson CJ, Trenerry C, Sharplin G, Dollman J. Barriers to seeking help for skin cancer detection in rural Australia. J Clin Med. 2017;6:19.
Sadeghi R, Khanjani N, Hashemi M, Movagheripour M. Using health belief model to prevent skin cancer among farmers. Iran J Health Educ Health Promot. 2014;2:215–22.
McClendon BT, Prentice-Dunn S. Reducing skin cancer risk: an intervention based on protection motivation theory. J Health Psychol. 2001;6:321–8.
We appreciate the seafarers involved in the study for their cooperation.
This study was funded by Iran University of Medical Sciences. The funder had no involvement in the design, analysis, interpretation or writing up of the results of study.
Ethics approval and consent to participate
Ethical approval was obtained from the ethics committee of Iran University of Medical Sciences, Tehran, Iran (Code: IR.IUMS.REC.1395.28113). All the participants read a statement that explained the purpose of the study and provided written informed consent before participation in the study. The participants were reminded that the study was voluntary, confidential and the results would remain anonymous.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Heydari, E., Dehdari, T. & Solhi, M. Can adopting skin cancer preventive behaviors among seafarers be increased via a theory-based mobile phone-based text message intervention? A randomized clinical trial. BMC Public Health 21, 134 (2021). https://doi.org/10.1186/s12889-020-09893-x
- Protection motivation theory
- Skin cancer
- Text message
- Intervention study