Qualitative sun protection research helps public health teams understand why people may recognize environmental risks but still struggle to act on them. The 2026 PLoS One study of Hajj pilgrims and nurses shows how interviews can reveal knowledge gaps, cultural interpretations, communication barriers, and practical obstacles that surveys may miss. This article translates those findings for qualitative researchers, health analysts, and UX teams designing education or prevention programs. It also explains how AI-enabled thematic analysis can help researchers move from multilingual interview transcripts to defensible themes, segment comparisons, and actionable recommendations while keeping human interpretation central.
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Start freeKey Takeaways
According to the PLoS One study on sun protection during Hajj, researchers interviewed 29 people after the 2025 Hajj season and identified five themes explaining why UV protection was understood inconsistently and used unevenly.
The study shows that qualitative interview analysis can distinguish heat-related illness from UV-related harm, identify culturally specific meanings attached to sun exposure, and expose barriers involving language, cost, availability, comfort, and clothing.
- The researchers interviewed 16 Saudi pilgrims and 13 registered nurses through Zoom between June 20 and July 11, 2025, approximately one month after Hajj.
- The 2026 PLoS One study identified five major themes: physical and emotional effects, limited awareness, cultural influences, barriers to protection, and recommendations for improvement.
- The study reported that participants often understood sun exposure primarily as a heat problem, while concepts such as ultraviolet protection factor, or UPF, and the UV Index were poorly understood.
- The researchers reported that saturation was reached after 16 pilgrim interviews and 13 nurse interviews, with the final two to three interviews in each group producing no new codes.
- The study recommends multilingual pre-Hajj education, affordable protective products, and culturally appropriate messages that distinguish heat prevention from UV protection.
What the Hajj Qualitative Study Examined
The 2026 PLoS One study examined awareness, attitudes, and behaviors related to sunscreen, UPF-rated clothing, umbrellas, and other sun-protection measures during Hajj.
The researchers conducted retrospective semi-structured interviews via Zoom from June 20 to July 11, 2025, and analyzed the transcripts using Braun and Clarke’s six-phase thematic analysis approach.
The study included 16 Saudi pilgrims and 13 registered nurses who had worked in hospitals in Makkah and Madinah during Hajj. The researchers interviewed pilgrims and nurses separately because the groups were expected to provide different perspectives on personal behavior, health education, and institutional barriers.
The researchers transcribed interviews in Arabic or English, translated Arabic transcripts into English, and independently audited a random 20% sample of translated transcripts against the original Arabic recordings. The study also used member checking, investigator triangulation, peer debriefing, and audit trails to support trustworthiness.
The study has important limits. The sample included Saudi pilgrims from one Hajj season, interviews captured recalled rather than directly observed behavior, and qualitative findings should not be treated as statistically representative of the broader international Hajj population.
Findings Snapshot: Qualitative Sun Protection Research
| Date or scope | Metric | Value | Implication for qualitative researchers |
|---|---|---|---|
| June 20 to July 11, 2025 | Interview period | 29 interviews | Rapid post-event interviewing captured recent experiences while relying on participant recall. |
| 2025 Hajj season | Participant groups | 16 pilgrims and 13 nurses | Cross-segment analysis compared personal experiences with frontline healthcare observations. |
| 2026 publication | Major themes | 5 themes | Thematic analysis connected knowledge, culture, practical barriers, and intervention ideas. |
| 2025 data collection | Interview duration | Approximately 30 to 45 minutes | Semi-structured interviews produced detailed accounts of symptoms, beliefs, and behaviors. |
| 2025 data analysis | Translation audit | 20% random sample | Independent checking helped evaluate conceptual and semantic equivalence across languages. |
| 2025 data analysis | Reported umbrella non-use in cited prior research | 26.9% of pilgrims | The study used this earlier statistic to illustrate a gap between sun-risk awareness and protective behavior. |
Implications for Public Health and Qualitative Research Teams
The Hajj findings suggest that effective interventions must address meaning, context, and usability rather than simply provide more information.
According to the 2026 PLoS One study, many participants described exhaustion, dizziness, dehydration, and fainting as consequences of sun exposure, but rarely described UV-specific effects such as sunburn or eye irritation. The distinction matters because hydration, rest, and cooling primarily address heat-related illness, while sunscreen and UPF-rated clothing or umbrellas address UV exposure.
According to the study, some older pilgrims interpreted enduring heat as part of the spiritual challenge of Hajj, while other participants described umbrella use as increasingly accepted. Qualitative analysis therefore revealed both a cultural barrier and a potential route for culturally responsive behavior change.
According to the interviewed nurses, language differences complicated health education for multinational pilgrims, while participants also cited forgotten equipment, heavy umbrellas, product cost, limited availability, and clothing constraints. These findings show why intervention design should combine message testing with journey mapping and cross-segment analysis.
The study’s recommendations provide testable hypotheses rather than validated interventions. Public health teams could use follow-up interviews, multilingual concept testing, and behavioral observation to assess whether pre-travel education, official Hajj kits, or accessible distribution points improve protection practices.
Health researchers should treat the study as non-diagnostic, research-focused evidence about reported experiences and perceptions, not as a clinical assessment of individual participants.
How Evidano Helps With AI-Enabled Qualitative Research
Problem: Multilingual transcripts slow down thematic analysis
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Evidano supports transcription and translation workflows with custom dictionaries and PII redaction, which can help research teams organize multilingual interview data before coding. Researchers can review the original material and translated output rather than treating automated translation as a substitute for linguistic or cultural judgment.
For teams working across Arabic and English interviews, Evidano’s translation tools provide a relevant starting point for preparing comparable research materials.
Problem: Themes are difficult to compare across participant groups
Evidano can generate thematic, content, frequency, and cross-segment analyses from qualitative datasets.
A research team could use cross-segment analysis to compare pilgrim accounts with nurse observations, then examine whether themes such as language barriers, cultural beliefs, product access, and physical discomfort appear differently across groups.
The Hajj study’s comparison of 16 pilgrims and 13 nurses demonstrates why segment-aware analysis is important: the two groups converged on education needs but emphasized different barriers.
Problem: Researchers need an auditable path from codes to findings
Evidano’s hierarchical codes, subcodes, co-occurrence networks, and word clouds can help researchers inspect relationships among concepts before writing conclusions.
For this topic, a team might organize a hierarchy around heat risk, UV risk, cultural meaning, communication, access, comfort, and recommended interventions. Researchers should still validate AI-generated codes against source excerpts, reflexive notes, and the study design.
Evidano also provides AI chat over uploaded documents and analyses, allowing researchers to ask focused questions about evidence, segments, quotations, and contradictions without manually searching every transcript.
Problem: Sensitive health interviews require clear data controls
Evidano states that uploaded data is encrypted and never used to train third-party models.
Those controls are relevant when qualitative teams analyze health, religious, or personally identifiable interview data. Researchers should still follow institutional review board requirements, informed-consent terms, de-identification procedures, and their organization’s data governance policies.
Teams can review Evidano’s data security information before selecting an AI-assisted qualitative analysis workflow.
FAQ: Qualitative Sun Protection Research
What did the 2026 Hajj qualitative study find about sun protection?
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The 2026 PLoS One study found five themes involving physical and emotional effects, limited awareness, cultural influences, barriers, and recommendations.
The study reported that participants often recognized heat-related dangers but had less understanding of UV-specific risks, UPF-rated products, and the UV Index.
How many people participated in the Hajj interview study?
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The 2026 PLoS One study included 29 participants: 16 Saudi pilgrims and 13 registered nurses.
The researchers interviewed participants between June 20 and July 11, 2025, and assessed saturation separately for pilgrims and nurses.
Why is thematic analysis useful for sun protection research?
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Thematic analysis is useful because it connects repeated patterns in participant accounts with the cultural and practical context behind those patterns.
In the 2026 PLoS One study, thematic analysis showed that knowledge gaps alone did not explain behavior; spiritual interpretations, language, cost, access, comfort, and clothing also shaped sun-protection practices.
Can AI analyze qualitative interviews about health behavior?
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AI can assist with transcription, translation, coding, thematic synthesis, and cross-segment comparison, but researchers must validate interpretations against the original data and study context.
Evidano supports these workflows for documents and interview data, while ethical review, consent, privacy protection, and human interpretation remain the responsibility of the research team.
What should researchers do after reading this Hajj study?
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Researchers should treat the Hajj findings as context-specific qualitative evidence and design follow-up studies that test multilingual education, product access, cultural messaging, and observed behavior.
The 2026 PLoS One study itself cautions that its Saudi pilgrim sample and single-season design limit transferability to the wider international Hajj population.
Conclusion and Next Steps
The 2026 PLoS One study demonstrates how qualitative sun protection research can uncover the reasons behind incomplete or inconsistent preventive behavior. Its 29 interviews show that effective Hajj health communication must distinguish heat from UV risk and address culture, language, access, cost, and comfort together.
AI-enabled qualitative analysis can help research teams process multilingual interviews, compare participant segments, trace themes to evidence, and identify questions for follow-up research more efficiently. Human researchers must remain responsible for interpretation, reflexivity, ethics, and contextual validation.
Teams studying health behavior, user experience, or public health communication can explore Evidano’s qualitative research features and try Evidano for free.
Topics
- qualitative sun protection research
- AI thematic analysis
- Hajj health research
- UV protection awareness
- qualitative interview analysis
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