Evidence map›Paper›PMID 33287774›Full record

ArticleBMC public health2020

Determinants of the utilization of allergy management measures among hay fever sufferers: a theory-based cross-sectional study.

Anna Muzalyova, Jens O Brunner

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In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Anna MuzalyovaChair of Health Care Operations/ Health Information Management, UNIKA-T, University of Augsburg, Universitätsstraße 16, 86159, Augsburg, Germany. anna.muzalyova@unikat.uni-augsburg.de.ORCID http://orcid.org/0000-0003-4441-8006
Jens O BrunnerChair of Health Care Operations/ Health Information Management, UNIKA-T, University of Augsburg, Universitätsstraße 16, 86159, Augsburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe quality of life of chronically ill individuals, such as hay fever sufferers, is significantly dependent on their health behavior. This survey aimed to explain the health-related behavior of allergic individuals using the protection motivation theory (PMT) and the transtheoretical model (TTM).

methodsThe influencing variables stated by PMT were operationalized based on data from semistructured pilot interviews and a pretest with 12 individuals from the target population. The final questionnaire inquired perceived seriousness and severity of hay fever, response efficacy, response costs, self-efficacy, and the use of various hay fever management measures in relation to the TTM stages. Multivariate logistic regression was performed to investigate the relationships between the PMT constructs and the examined health behavior.

resultsA total of 569 allergic individuals completed the online questionnaire. Only 33.26% of allergic individuals were in the maintenance stage for treatment under medical supervision, and almost 60% preferred hay fever self-management. A total of 67.56% had a well-established habit of taking anti-allergic medication, but only 25.31% had undergone specific immunotherapy. The likelihood of seeking medical supervision was positively influenced by perceived severity (OR = 1.35, 95% CI: 1.02-1.81), perceived seriousness (OR = 2.12, 95% CI: 1.56-2.89), and self-efficacy (OR = 4.52, 95% CI: 3.11-6.65). The perceived severity of symptoms predicted the practice of hay fever self-management (OR = 1.60, 95% CI: 1.21-2.11), as well as anti-allergic medication intake (OR = 1.65, 95% CI: 1.16-2.35). The latter measure was also positively influenced by self-efficacy (OR = 1.52, 95% CI: 1.01-2.28) and hay fever self-management (OR = 4.76, 95% CI: 2.67-7.49). Undergoing specific immunotherapy was significantly predicted only by medical supervision (OR = 9.80, 95% CI: 8.16-13.80). Allergen avoidance was a strategy used by allergic individuals who preferred hay fever self-management (OR = 2.56, 95% CI: 1.87-3.52) and experienced notable symptom severity (OR = 2.12, 95% CI: 1.60-2.81).

conclusionEducational interventions that increase the awareness of health risks associated with inadequate hay fever management and measures to increase self-efficacy might be beneficial for the promotion of appropriate hay fever management among allergic individuals.

Indexed as

Anti-Allergic AgentsRhinitis, Allergic, SeasonalAllergensCross-Sectional StudiesHumansNonprescription DrugsQuality of LifeSelf EfficacySelf MedicationAllergensAnti-Allergic AgentsNonprescription DrugsHay fever managementProtection motivation theoryThreat appraisalTranstheoretical modelUtilization of health measures

Identifiers

PMID33287774
PMCPMC7720499

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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.