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Qualitative Sun Protection Research: Hajj Insights

Evidano8 min read

Qualitative sun protection research helps public health teams understand why people may recognize environmental risks but still struggle to adopt protective behaviors. The 2026 PLOS One study of Hajj pilgrims and nurses shows how interviews can uncover cultural beliefs, knowledge gaps, communication barriers, and practical constraints that survey percentages alone may miss. This article explains the study's findings and shows how AI-enabled qualitative analysis can help researchers organize multilingual interviews, identify themes, compare participant groups, and turn rich narratives into actionable recommendations. The discussion is research-focused and non-diagnostic.

Key Takeaways

According to the PLOS One study, qualitative interviews conducted after the 2025 Hajj found that pilgrims and nurses recognized sun exposure as a serious challenge but often understood it primarily as a heat problem rather than a separate ultraviolet radiation risk.

The study shows that effective sun-safety interventions require more than general awareness messages. Researchers identified five themes involving physical and emotional effects, knowledge gaps, cultural influences, practical barriers, and participant recommendations.

  • Researchers interviewed 29 participants, including 16 Saudi pilgrims and 13 registered nurses, between June 20 and July 11, 2025.
  • The research team identified five major themes through thematic analysis using Braun and Clarke's six-phase approach.
  • The participants described limited understanding of ultraviolet protection factor, or UPF, products and the difference between ordinary and UV-protective umbrellas and clothing.
  • Participants identified cost, availability, discomfort, cultural clothing norms, forgetting protective items, and language differences as barriers to sun protection during Hajj.
  • The study's participants prioritized structured education before and during Hajj, multilingual communication, affordable protective products, and culturally appropriate clothing.

What the Hajj Qualitative Sun Protection Research Studied

The 2026 PLOS One study used a qualitative descriptive design to examine awareness, attitudes, and behaviors related to UV protection among Hajj pilgrims and nurses. The researchers conducted retrospective, semi-structured interviews through Zoom within approximately one month of the 2025 Hajj season.

The study included 16 Saudi pilgrims and 13 registered nurses who had worked in hospitals in Makkah and Madinah. The research team conducted interviews in Arabic with the Saudi participants and in English with one non-Saudi nurse, then translated the Arabic transcripts into English and independently audited a random 20% sample of translated transcripts.

The study authors analyzed the interviews in NVivo 12.6. Three researchers independently coded an initial 20% sample, developed a shared codebook, and used consensus discussions to resolve coding differences. The analysis followed Braun and Clarke's six-phase thematic approach, while Lincoln and Guba's criteria guided the assessment of qualitative trustworthiness.

One participant described the physical burden of exposure by saying, "The weather was hot, and, unfortunately, the sun was directly overhead... We felt tired and exhausted you feel like you can’t continue the remaining steps." The quotation illustrates why the study distinguished heat-related illness from UV-related harm rather than treating all sun exposure effects as one phenomenon.

Hajj Sun Protection Findings at a Glance

Date or study detailMetricValueImplication
June 20 to July 11, 2025Interview period29 interviewsThe interviews captured recalled experiences shortly after the 2025 Hajj season.
2025 Hajj seasonParticipant groups16 pilgrims and 13 nursesThe design combined pilgrim experiences with frontline healthcare perspectives.
2026 PLOS One publicationMajor themes5 themesThe analysis connected physical effects, awareness, culture, barriers, and recommendations.
2026 PLOS One studyTranslation quality check20% of translated transcriptsAn independent audit helped assess conceptual and semantic equivalence.
Prior research cited by the studyPilgrims not using umbrellas in direct sunlight26.9%The finding indicates a measurable gap between exposure risk and protective behavior.

What Qualitative Analysis Adds to Hajj Health Research

Qualitative analysis adds context to Hajj health research by explaining the beliefs and circumstances behind protective behavior. The 2026 PLOS One interviews found that some participants viewed enduring heat as part of the spiritual challenge of Hajj, while others described umbrella use as increasingly socially accepted.

The study found that participants often knew that the sun could be harmful but could not explain how UV radiation affected the body or how UPF labels worked. One nurse said, "Honestly, I have no knowledge about UV-protection products, " while another said it was the "first time I heard about UPF."

The findings also show why segment comparison matters. According to the study authors, nurses emphasized systemic and communication barriers, including language differences and limited formal training, while pilgrims more often emphasized cost, comfort, access, and forgetting protective items.

The study reported that one nurse described language as "The biggest challenge" when explaining health guidance to pilgrims who did not understand Arabic or English. The quotation points to a communication design problem that multilingual materials and visual messages could address.

For public health researchers, the practical lesson is to code not only whether participants use protection, but also how they define risk, which products they trust, what prevents use, and which messages fit local cultural and religious contexts.

How Evidano Helps With Qualitative Sun Protection Research

Problem: Researchers need to synthesize many interview transcripts consistently

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.

Evidano can support thematic analysis by organizing interview material into themes, codes, and subcodes, helping research teams move from raw transcripts to a structured interpretation. Researchers can review the underlying text and use the platform's AI chat to ask focused questions across their document set.

For a study like the Hajj research, a team could create codes for heat-related symptoms, UV awareness, UPF knowledge, spiritual beliefs, language barriers, cost, comfort, and recommendations.

Problem: Researchers need to compare pilgrims, nurses, languages, or demographic segments

Evidano supports cross-segment analysis so researchers can compare how different participant groups describe the same issue.

A public health team could compare pilgrim and nurse perspectives, examine differences between Arabic and English interviews, or identify which barriers recur across participant segments. Frequency analysis and visualizations can help show recurring terms and relationships, while qualitative review preserves the meaning behind each response.

Problem: Multilingual interviews can make translation and interpretation difficult

Evidano provides transcription and translation capabilities that can help research teams prepare multilingual interview data for analysis.

Researchers can use custom dictionaries for specialized terms such as UV, UPF, SPF, Hajj, or culturally specific language. Teams should still conduct human review of translations and interpretations, especially when meaning depends on religious, cultural, or contextual nuance. Learn more about Evidano's translation capabilities.

Problem: Sensitive health research requires careful data handling

Evidano encrypts data and states that customer data is never used to train third-party models.

Researchers working with interview transcripts should still apply institutional privacy, consent, de-identification, and ethics requirements. Teams can review Evidano's data security information when evaluating a platform for sensitive qualitative research.

FAQ: Qualitative Sun Protection Research

What did the Hajj qualitative sun protection study find?

The Hajj qualitative sun protection study found five major themes: physical and emotional effects, limited awareness, cultural influences, practical barriers, and recommendations for improvement.

According to the 2026 PLOS One study, participants often understood sun exposure as a heat risk but had limited knowledge of UV radiation, UPF-rated products, and the difference between ordinary and UV-protective items.

How many people participated in the Hajj interview study?

The study included 29 participants: 16 Saudi pilgrims and 13 registered nurses.

According to the study methods, interviews took place between June 20 and July 11, 2025, and the researchers assessed thematic saturation separately for pilgrims and nurses.

Why should researchers distinguish heat risk from UV risk?

Researchers should distinguish heat risk from UV risk because the hazards have different health effects and require different protective actions.

The 2026 PLOS One study explains that hydration, rest, and cooling address heat-related illness, while sunscreen and UPF-rated clothing or umbrellas address UV exposure; shade can contribute to protection from both.

How can AI support thematic analysis of health interviews?

AI can support thematic analysis by helping researchers organize transcripts, identify recurring concepts, compare segments, and retrieve evidence for emerging themes.

AI does not replace researcher judgment. The Hajj study used multiple coders, consensus discussions, translation audits, member checking, and reflexive analysis, so researchers should use AI as an assistive layer within a transparent qualitative workflow.

Can AI analyze multilingual qualitative research data?

AI can help prepare multilingual qualitative data through transcription, translation, custom terminology, and cross-language retrieval.

Researchers should validate translations and culturally sensitive interpretations with bilingual or subject-matter experts, as the 2026 PLOS One study did by auditing a random 20% sample of translated transcripts.

Conclusion and Next Steps

The 2026 PLOS One study demonstrates how qualitative sun protection research can reveal the cultural, practical, and communication factors behind health behavior during Hajj. The study's 29 interviews show that public health interventions must distinguish UV exposure from heat-related illness and must address language, affordability, product design, spiritual interpretation, and access.

AI-enabled qualitative analysis can help research teams process interview transcripts more efficiently while preserving a structured path from participant language to themes and recommendations. Evidano supports thematic, frequency, and cross-segment analysis for interview and document-based research, with tools for multilingual workflows and AI-assisted exploration.

Researchers can try Evidano for free to organize qualitative data and accelerate evidence-based thematic analysis.

Topics

  • qualitative sun protection research
  • AI thematic analysis
  • Hajj health research
  • qualitative research in public health
  • sun protection behavior study

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