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Sun Protection During Hajj: Qualitative Research

Evidano8 min read

Sun protection during Hajj is both a public health challenge and a qualitative research problem. Health researchers and policy teams need to understand why people who recognize sun exposure as risky may still lack knowledge of ultraviolet protection factor (UPF) products, face cultural constraints, or prioritize heat management over UV prevention. The November 2026 PLOS One study by Omar Qaladi and colleagues provides a detailed example of how interviews can reveal these underlying behaviors. This article summarizes the study and refracts its findings through the lens of AI-enabled qualitative research. Readers will learn what the researchers found, how they separated heat-related illness from UV-related harm, and how AI tools can accelerate thematic analysis without replacing methodological judgment.

Key Takeaways

According to the PLOS One study on sun protection during Hajj, pilgrims and nurses recognized the burden of intense sun exposure but often understood it mainly as a heat problem rather than a separate UV-related health risk. The study found that education, affordability, product access, language, cultural beliefs, and clothing requirements shaped sun-protection behavior.

  • The PLOS One researchers interviewed 29 people after the 2025 Hajj season, including 16 Saudi pilgrims and 13 registered nurses.
  • The interviews took place by Zoom from June 20 to July 11, 2025, within approximately one month of Hajj.
  • The researchers identified five themes: physical and emotional effects, knowledge gaps, cultural influences, barriers, and recommendations.
  • Participants often knew that shade and hydration mattered, but the study found limited understanding of UPF-rated clothing, UV-protective umbrellas, and the UV Index.
  • The researchers concluded in November 2026 that multilingual pre-Hajj education, affordable protective products, and culturally appropriate communication should be prioritized.

What the Hajj Sun Protection Study Found

The 2026 PLOS One study found that participants described intense sun exposure primarily through symptoms associated with heat, including exhaustion, dizziness, dehydration, and fainting. The researchers emphasized that heat-related illness and UV-related harm are distinct risks that require different preventive actions.

The study used retrospective, semi-structured interviews with 16 Saudi pilgrims and 13 registered nurses who had worked in hospitals in Makkah and Madinah during Hajj. The research team analyzed the transcripts using Braun and Clarke’s six-phase thematic analysis approach and assessed saturation separately for pilgrims and nurses.

The researchers reported five major themes. Participants discussed the physical and emotional impact of exposure, limited awareness of UV and UPF concepts, cultural and religious influences, practical barriers, and recommendations for improving sun safety.

One participant told the researchers, “Everyone knows the sun is harmful, but I don’t think we understand how exactly.” Another nurse said, “Honestly, I have no knowledge about UV-protection products.” These quotations show why qualitative interviews can reveal knowledge gaps that a simple usage survey might not explain.

The study also identified a difference between intended and effective protection. Some participants assumed that any umbrella or covering garment offered equivalent UV protection, while the researchers noted that protection varies according to fabric and product design.

The study has important limits. The sample included Saudi pilgrims from one Hajj season, and the interviews captured recalled experiences rather than directly observed behavior. The authors therefore presented the findings as context-specific qualitative evidence, not as statistically generalizable estimates for the entire international Hajj population.

Hajj Sun Protection Findings Snapshot

Date or periodMetricValueImplication for qualitative researchers
2025 Hajj seasonPilgrim interview participants16 Saudi pilgrimsProvides detailed insight into pilgrims’ recalled experiences and decisions.
2025 Hajj seasonNurse interview participants13 registered nursesAdds a frontline healthcare perspective on education and communication barriers.
June 20 to July 11, 2025Interview period29 Zoom interviews in totalShows that the researchers collected accounts within approximately one month after Hajj.
November 11, 2026Study publicationPLOS One, volume 21, article e0362675Places the findings in the published evidence base for Hajj health research.
2026 study analysisMajor themes5 themesDemonstrates how thematic coding connected knowledge, culture, barriers, and recommendations.

Implications for Public Health and Qualitative Research Teams

Public health teams should treat heat prevention and UV prevention as related but separate communication tasks, according to the 2026 PLOS One study. Hydration, rest, and cooling address heat-related illness, while sunscreen and UPF-rated clothing or umbrellas address UV exposure; shade can support both forms of protection.

The study indicates that pre-travel education should explain practical concepts rather than rely on general warnings. Participants reported hearing messages such as avoiding the sun and drinking water, but they often lacked detailed knowledge about UPF ratings, UV-protective fabrics, and the UV Index.

The study also shows why segmentation matters. Pilgrims emphasized cost, comfort, availability, and forgetting protective items, while nurses emphasized language differences, limited training, and the difficulty of communicating with a multinational population. An analysis that combines both groups without preserving these differences could hide actionable findings.

Qualitative research teams can use AI to accelerate transcript organization, code comparison, translation review, and cross-segment analysis. Human researchers must still verify interpretations, protect participant confidentiality, account for translation and recall limitations, and distinguish participant quotations from analyst conclusions.

For health research, AI-generated findings should remain non-diagnostic and research-focused. AI can help identify patterns in participant accounts, but clinical or policy decisions require qualified human review and appropriate ethical oversight.

How Evidano Helps Analyze Hajj Health Interviews

Problem: Large interview sets slow thematic analysis

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

Evidano can organize transcripts into themes, codes, and subcodes, helping research teams move from raw interviews to a structured thematic analysis. Researchers can review AI-generated patterns against the original text and preserve the interpretive role of the research team.

Teams can explore Evidano’s qualitative research analysis features when they need to compare participant experiences across groups such as pilgrims and nurses.

Problem: Pilgrim and nurse perspectives can become blended together

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

For a Hajj sun-protection project, a research team could compare pilgrim accounts about cost and comfort with nurse accounts about language, training, and access. The comparison can help preserve meaningful differences while identifying shared priorities such as pre-travel education.

Problem: Multilingual interviews complicate synthesis

Evidano provides transcription and translation workflows that can help researchers process multilingual qualitative data while retaining custom terminology through custom dictionaries.

The PLOS One study reported that most interviews were conducted in Arabic and that transcripts were translated into English. AI-assisted translation can support this workflow, but bilingual review remains important when cultural meaning and participant quotations matter.

Problem: Researchers need auditable answers from mixed evidence

Evidano’s AI chat can help research teams ask focused questions across uploaded transcripts, reports, papers, and survey responses.

A team could ask which barriers were mentioned by nurses but not pilgrims, which recommendations were shared across groups, or where participants confused heat protection with UV protection. Researchers can then trace answers back to the underlying documents and quotations.

FAQ: Sun Protection During Hajj and AI Qualitative Analysis

What did the 2026 qualitative Hajj study investigate?

The 2026 PLOS One study investigated awareness, attitudes, and behaviors related to sun protection and UPF-rated products among Hajj pilgrims and nurses.

The researchers conducted interviews with 16 Saudi pilgrims and 13 registered nurses after the 2025 Hajj season and identified five major themes.

What is the difference between heat protection and UV protection during Hajj?

Heat protection addresses risks such as dehydration and heat-related illness, while UV protection addresses radiation-related risks such as sunburn, eye damage, and cumulative skin damage.

The PLOS One researchers found that participants often described sun exposure as a heat problem, which could lead them to overlook sunscreen, UPF-rated clothing, or the UV-protective properties of an umbrella.

Why is thematic analysis useful for Hajj sun-protection research?

Thematic analysis is useful because it identifies recurring meanings, beliefs, barriers, and recommendations across participant interviews.

In the 2026 study, thematic analysis connected practical issues such as cost and product access with cultural interpretations, communication barriers, and recommendations for multilingual pre-Hajj education.

Can AI replace researchers in qualitative health studies?

AI can accelerate transcription, coding, translation support, comparison, and synthesis, but AI should not replace researchers’ methodological judgment or ethical responsibility.

Human researchers must validate themes, check quotations against source transcripts, assess cultural and translation nuances, protect sensitive data, and acknowledge the limitations of retrospective interviews.

How can researchers analyze Hajj interviews with AI?

Researchers can use AI to ingest interview transcripts, apply thematic and cross-segment analysis, search for supporting quotations, and compare findings across pilgrims and nurses.

Evidano supports these workflows with qualitative analysis, document chat, transcription, translation, and visualization capabilities, while researchers remain responsible for interpreting and reporting the evidence.

Conclusion and Next Steps

The 2026 PLOS One study shows how qualitative interviews can uncover the difference between recognizing sun exposure as uncomfortable and understanding the specific actions needed to reduce heat and UV risks. The study’s 29 participants described knowledge gaps, cultural influences, communication problems, cost concerns, and practical barriers that can inform better Hajj health interventions. AI-enabled qualitative research can help teams process these complex accounts faster while preserving subgroup differences and linking conclusions to participant evidence. Try Evidano for free to analyze interviews, documents, and open-ended responses with AI-supported qualitative workflows.

Topics

  • sun protection during Hajj
  • Hajj qualitative research
  • AI thematic analysis
  • UV protection awareness
  • qualitative health research

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