Application of protection motivation theory (PMT) on skin cancer preventive behaviors amongst primary school students in rural areas of Fasa city-Iran

Photoaging and theory-based intervention to improve sun protection behaviors in students in Zahedan: study protocol for a randomized controlled trial

BACKGROUND

Excessive exposure to solar ultraviolet (UV) radiation can cause skin cancer. Implementing new technologies and computational algorithms can potentially change the outlook for cancer prevention and facilitate early detection of melanoma, thereby reducing mortality. Mobile technology as a potential provider of health services in delivering health information and conducting interventions, especially in skin fields, where a significant part of diagnosis is based on visual examination, can be important. Evidence showed that constructs of protection motivation theory (PMT) were good predictors of practicing sun protection behaviors in students. This study will investigate whether mobile applications improve safe and healthy behaviors and affect students' reduced UV exposure.

METHOD/DESIGN

This randomized controlled trial will be conducted on 320 students on 06/04/2022 in Zahedan. We created mobile applications (Sunshine and Skin Health and WhatsApp apps). Sunshine and Skin Health app allows users to see their changed faces in three stages of adolescence, middle age, and old age based on sun protection behavior. The WhatsApp app has 27 health messages based on PMT theory, eight educational files, and a skin cancer clip that will be sent through WhatsApp during a week. Randomization will be performed using a 1:1 (control: intervention) ratio. The primary endpoint is the group difference in sun-protective behaviors and PMT constructs immediately after the intervention. The secondary endpoint is the group difference in sun-protective behaviors and PMT constructs at a 3-month follow-up. The data will be analyzed in SPSS.22, and the significance level will be considered at 0.05.

DISCUSSION

The present study examines the effectiveness of mobile applications in improving sun-protective behaviors. If this intervention enhances sun protection behaviors, it can prevent students' skin damage.

TRIAL REGISTRATION

Iranian Registry of Clinical Trials IRCT20200924048825N1. Prospectively registered on 8 February 2021.

Hearing protection behavior of farmers in Iran: Application of the protection motivation theory

BACKGROUND: Noise in work environments is regarded as a serious issue. Hearing loss leads to socio-economic problems and huge costs to families and communities. Agriculture is one of the professions in which individuals face occupational noise. Farmers are the second leading group in suffering from hearing loss in the world. OBJECTIVE: This study aims to predict the hearing protection behavior of farmers by using the Protection Motivation Theory (PMT). METHOD: This descriptive study was conducted through a survey. The questionnaire was the main tool for data collection. The population of the study consisted of wheat farmers in Kermanshah province (N = 126,900). By using Krejcie and Morgan’s table and stratified random sampling method, 382 farmers were taken as the research sample. The validity of the questionnaire was confirmed by the experts of this field, and the reliability was proved through a pilot study to calculate Cronbach’s alpha. RESULTS: The findings showed that perceived self-efficacy, perceived response efficacy, perceived vulnerability, and perceived response costs had the strongest effects on farmers’ motivation to protect their hearing, respectively. Furthermore, protection motivation had a significant effect on farmers’ protection behavior. CONCLUSION: Threat and coping appraisals as cognitive mediating processes determined farmers’ behavior for hearing protection. The results illustrated that the components of PMT were appropriate predictors of farmers’ hearing protection behavior.

Effect of Digital-Based Self-Learned Educational Intervention about COVID-19 Using Protection Motivation Theory on Non-Health Students' Knowledge and Self-Protective Behaviors at Saudi Electronic University

BACKGROUND

The COVID-19 pandemic has disastrous impacts that impose the cultivation of knowledge and motivation of self-protection to foster disease containment.

AIM

Evaluate the effect of digital self-learned educational intervention about COVID-19 using the protection motivation theory (PMT) on non-health students' knowledge and self-protective behaviors at Saudi Electronic University (SEU).

METHODS

A quasi-experimental study was accomplished at three randomly chosen branches of SEU (Riyadh, Dammam, Jeddah) using a multistage sampling technique to conveniently select 219 students. An electronic self-administered questionnaire was used, which included three scales for assessing the students' knowledge, self-protective behaviors, and the constructs of the PMT. The educational intervention was designed using four stages: need assessment, planning, implementation, and evaluation. A peer-reviewed digital educational content was developed after assessing the participants' educational needs using the pretest. Then, distributed through their university emails. A weekly synchronous Zoom cloud meeting and daily key health messages were shared with them. Finally, the post-test was conducted after two months.

RESULTS

The mean participants' age (SD) among the experimental group was 28.94 (6.719), and the control group was 27.80 (7.256), with a high female percentage (63.4%, 73.8%) and a previous history of direct contact with verified COVID-19 patients (78.6%, 69.2%), respectively. A significant positive mean change (p = 0.000) was detected in the total COVID-19 knowledge of the experimental group post-intervention, either when it was adjusted for the covariates effect of the control group (F₁ = 630.547) or the pretest (F₁ = 8.585) with a large effect size (η² = 0.745, η² = 0.268, respectively). The same was proved by the ANCOVA test for the total self-protective behaviors either when it adjusted for the covariates effect of the control group (F₁ = 66.671, p = 0.000) or the pretest (F₁ = 5.873, p = 0.020) with a large effect size (η² = 0.236, η² = 0.164, respectively). The ANCOVA test proved that post-intervention, all the PMT constructs (perceived threats, reward appraisal, efficacy appraisal, response cost, and protection intention) and the total PMT score were significantly improved (p = 0.000) among the experimental group either when adjusted for the covariates effect of the control group (F₁ = 83.835) or the pretest (F₁ = 11.658) with a large effect size (η² = 0.280, η² = 0.561, respectively).

CONCLUSIONS

The digital PMT-based self-learned educational intervention effectively boosts non-health university students' COVID-19 knowledge, protection motivation, and self-protective behaviors. Thus, PMT is highly praised as a basis for COVID-19-related educational intervention and, on similar occasions, future outbreaks.