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AI Qualitative Analysis of Hajj Sun Protection

Evidano8 min read

Qualitative analysis of sun protection helps public health researchers understand why people recognize environmental risks but do not consistently act on them. The issue is especially important during Hajj, where pilgrims and healthcare workers must distinguish heat-related illness from ultraviolet, or UV, harm. According to Qaladi and colleagues’ November 11, 2026 study in PLOS One, participants understood sun exposure mainly as a heat problem, while awareness of UV protection factor, or UPF, products remained limited. The study also identified cultural, communication, cost, availability, and comfort barriers. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. This article explains what the Hajj interview study found, how researchers can structure qualitative analysis of sun protection, and how AI can accelerate coding, thematic synthesis, translation, and cross-segment comparison without replacing methodological judgment.

Key Takeaways

According to the Sun protection awareness and ultraviolet protection factor product use among pilgrims and nurses during Hajj: A qualitative post-Hajj interview study, qualitative interviews conducted after the 2025 Hajj found that participants recognized sun exposure as a serious concern but understood it mainly through heat-related symptoms rather than UV-specific risks. The study identified five themes: physical and emotional effects, awareness gaps, cultural influences, practical barriers, and recommendations.

  • Qaladi and colleagues interviewed 29 people, including 16 Saudi pilgrims and 13 registered nurses, between June 20 and July 11, 2025.
  • The PLOS One study identified five major themes through thematic analysis based on Braun and Clarke’s six-phase approach.
  • Participants reported limited familiarity with UPF-rated clothing, UV-protective umbrellas, and the UV Index, according to the 2026 Hajj interview study.
  • The study found that cost, product availability, language differences, cultural clothing norms, discomfort, and forgetting protective items limited sun-protection behavior.
  • Participants recommended multilingual education before Hajj, clearer distinction between heat and UV risks, and wider access to affordable protective products.

What the Hajj Sun Protection Study Found

The November 11, 2026 PLOS One study found that Hajj pilgrims and nurses often described exhaustion, dizziness, dehydration, and fainting, but rarely raised UV-specific effects such as sunburn or eye irritation. The researchers therefore concluded that health communication should distinguish heat-related illness from UV-related harm because each risk requires different protective actions.

The study’s participants described limited knowledge of UPF labels and the UV Index. One nurse told the researchers, “Honestly, I have no knowledge about UV-protection products.” Another participant said, “I didn’t even know there are special fabrics for blocking UV rays.” These quotations show why qualitative analysis adds context that a simple awareness percentage may not capture.

According to Qaladi and colleagues, cultural and religious interpretations also shaped behavior. Some participants viewed enduring heat as part of the spiritual challenge of Hajj, while others said umbrella use had become more socially accepted. The study reported that participants generally supported sun protection but faced barriers when trying to apply it in crowded, physically demanding conditions.

The researchers used retrospective, semi-structured interviews conducted through Zoom approximately one month after the 2025 Hajj season. The study analyzed self-reported experiences rather than directly observed behavior, and the authors cautioned that the Saudi pilgrim sample from one Hajj season may not represent the wider international Hajj population.

Hajj Sun Protection Findings Snapshot

Date or periodMetricValueImplication
June 20 to July 11, 2025Interview period22 daysQaladi and colleagues collected post-Hajj accounts while participants’ experiences were still relatively recent.
2025 Hajj seasonPilgrims interviewed16 Saudi pilgrimsThe pilgrim group provided context-specific accounts but did not represent all nationalities attending Hajj.
2025 Hajj seasonNurses interviewed13 registered nursesThe nurse group contributed professional perspectives on education, care, and communication barriers.
November 11, 2026Themes identified5 major themesThe thematic structure connected knowledge, culture, behavior, barriers, and intervention recommendations.
2025 Hajj research cited by the studyPilgrims not using umbrellas in direct sunlight26.9%The figure cited by Qaladi and colleagues indicates a measurable gap between exposure risk and protective behavior.

Implications for Public Health and Qualitative Researchers

Public health teams should analyze sun-protection behavior as a combination of knowledge, cultural meaning, access, communication, and product design rather than as a single awareness problem. The 2026 PLOS One study shows that participants could recognize discomfort and heat danger while remaining unfamiliar with the mechanisms and labels associated with UV protection.

Qualitative researchers should preserve differences between participant segments during analysis. According to Qaladi and colleagues, nurses emphasized systemic and communication barriers, while pilgrims more often emphasized cost, comfort, forgetting items, and availability. A cross-segment analysis can make these differences visible and prevent a single overall theme from hiding actionable distinctions.

Health communication teams should also analyze language and translation carefully. The study reported that all Saudi participants were interviewed in Arabic, while one non-Saudi nurse was interviewed in English; Arabic transcripts were translated into English and a second bilingual researcher audited a random 20% sample of translated transcripts. These procedures demonstrate why multilingual qualitative projects require traceable translation workflows.

Researchers should treat the study’s recommendations as hypotheses for intervention design rather than proven solutions. Qaladi and colleagues proposed pre-travel education, multilingual materials, accessible distribution points, and culturally appropriate protective clothing, but the study did not test the effectiveness of those interventions.

Medical and public health analysis should remain non-diagnostic and research-focused; interview findings can inform education and service design but cannot diagnose an individual participant’s health condition.

How Evidano Helps With Qualitative Analysis of Sun Protection

Problem: Researchers need to synthesize many interview transcripts consistently

Evidano helps researchers organize interview transcripts into thematic, content, frequency, and cross-segment analyses. Researchers can compare pilgrims and nurses, identify recurring barriers, and inspect how themes such as knowledge, culture, cost, and communication connect across the dataset.

Researchers can review Evidano’s outputs alongside their codebook and study protocol. The platform supports analysis workflows, but researchers remain responsible for interpretation, reflexivity, and methodological decisions.

Problem: Multilingual interviews can make meaning difficult to preserve

Evidano provides transcription and translation workflows that can support multilingual qualitative projects. Custom dictionaries can help standardize recurring terminology, while researchers can compare translated material with source-language content before finalizing themes.

The Hajj study’s Arabic-to-English translation process shows why translation quality checks matter. Researchers should document language choices, audit samples, and preserve culturally specific meanings rather than treating translation as a purely mechanical step.

Problem: Researchers need to interrogate evidence without repeatedly searching files

Evidano’s AI chat over documents and analyses lets researchers ask focused questions about their interview corpus, such as which barriers were unique to nurses or which quotations supported limited UPF awareness. Researchers can use the results to locate evidence and then verify interpretations against the original transcripts.

Researchers can learn more about document analysis and AI-assisted research workflows through Evidano’s features.

Problem: Sensitive health interviews require strong data handling

Evidano encrypts data and does not use customer data to train third-party models, according to Evidano’s product and security commitments. Research teams handling health-related interviews should still apply informed consent, de-identification, access controls, and institutional review requirements appropriate to their study.

FAQ: Qualitative Analysis of Sun Protection

What did the Hajj qualitative study find about sun protection awareness?

The Hajj qualitative study found that participants understood sun exposure mainly as a heat-related risk and had limited knowledge of UV-specific concepts such as UPF ratings and the UV Index. Qaladi and colleagues identified five themes from interviews with 16 pilgrims and 13 nurses conducted in June and July 2025.

Why should researchers separate heat-related illness from UV-related harm?

Researchers should separate heat-related illness from UV-related harm because the two risks have different symptoms and preventive actions. The 2026 PLOS One study linked hydration, rest, and cooling with heat protection, while sunscreen and UPF-rated clothing or umbrellas address UV exposure.

What barriers affected sun-protection behavior during Hajj?

The main barriers were limited knowledge, language differences, cost, availability, discomfort, cultural clothing norms, and forgetting protective items. Qaladi and colleagues also reported that some participants interpreted physical hardship as part of the spiritual experience of Hajj.

How can AI support qualitative analysis of sun protection interviews?

AI can support qualitative analysis by accelerating transcript organization, thematic coding, translation, cross-segment comparison, evidence retrieval, and visualization. Researchers should verify AI-generated findings against source transcripts and retain responsibility for interpretation, ethics, and reporting.

Can this Hajj study represent all international pilgrims?

This Hajj study cannot represent all international pilgrims because the pilgrim participants were Saudi nationals and the research covered one Hajj season. The authors identified nationality, cultural context, retrospective reporting, and the qualitative design as limitations on transferability.

Conclusion and Next Steps

The 2026 PLOS One study demonstrates how qualitative analysis of sun protection can reveal the reasons behind a gap between recognizing environmental risk and adopting protective behavior. The interviews connected limited UV knowledge with cultural interpretations, communication barriers, product access, cost, and physical discomfort.

AI-assisted qualitative analysis can help public health and research teams move from raw interviews to defensible themes and segment-level insights more efficiently. Evidano supports this workflow through thematic analysis, translation, document chat, and evidence-oriented review while keeping researchers in control of interpretation.

Teams analyzing interviews, open-ended survey responses, or public health documents can try Evidano for free and turn qualitative evidence into clearer research decisions.

Topics

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

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