Evidence map›Paper›PMID 41782141›Full record

ArticleBMC psychology2026

Understanding future anxiety and adaptive coping through a mixed-methods lens: experiences of female hard of hearing students in Saudi Arabia.

Nourah Ibrahim Albash

Abstract read
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Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Nourah Ibrahim AlbashSpecial Education Department, College of Education, King Faisal University, Al-Ahsa, 31982, Saudi Arabia. nalbash@kfu.edu.sa.ORCID http://orcid.org/0000-0003-3547-7733

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFuture anxiety is one of the most prominent psychological issues faced by female deaf and hard of hearing (DHH) students. It directly affects psychological stability and trajectories in education and career.

aimThe present study aimed to identify the level of future anxiety and its dimensions, examine the factors influencing it, and explore the coping practices used to manage it among female hard-of-hearing (HOH) high school students in Saudi Arabia. METHODOLOGY: Sequential explanatory design, a type of mixed-methods research, was employed in the study. Quantitative data were collected using a researcher-developed scale administered to 39 female HOH students to assess their levels of future anxiety and to identify the most prominent dimensions of future anxiety as indicated by the participants’ responses. Qualitative data were subsequently collected through individual in-depth interviews conducted with nine of the students who had completed the scale. Interview questions were designed to obtain deeper insights from this representative group regarding the factors affecting future anxiety and the coping mechanisms these students employ to deal with the future anxiety they experience. The quantitative findings guided the selection of the qualitative sample and informed the analysis in the qualitative phase; participants with the highest scores on the scale were purposefully recruited for the qualitative interviews. Quantitative data were analyzed using frequency, means, and standard deviation to examine the level of future anxiety and its key dimensions. Qualitative data were analyzed using thematic analysis.

resultsQuantitative results revealed these participants exhibit a high level of future anxiety, with academic anxiety being the most prevalent dimension. Five subthemes of factors influencing future anxiety were identified in the qualitative data, which were psychological and social, linguistic, family, educational, and economic. The results also revealed this population employs certain coping practices to manage their future anxiety, which include faith in and reliance on God, researching and exploring future opportunities, making decisions at the right time, developing self-confidence and self-esteem, engaging in positive distraction, and receiving family and social support.

conclusionsStrengthening coping strategies was found to play a pivotal role in mitigating future anxiety and promoting resilience among female HOH students in Saudi high schools. In particular, enhancing psychological support, family involvement, and educational guidance may help these students better manage concerns about academic and career futures, and improve their overall emotional well-being and sense of security regarding the future.

Indexed as

Adaptation, PsychologicalAnxietyCoping SkillsPersons with Hearing DisabilitiesStudentsAdolescentFemaleHumansQualitative ResearchSaudi ArabiaAnticipatory anxietyAuditory difficultiesFuture anxiety scaleHard of hearing studentsHearing lossMixed-methods research

Identifiers

PMID41782141
PMCPMC13067526

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.