Health-related quality of life and its contributory factors in allergic rhinitis patients in Nigeria

• Published in: Auris, nasus, larynx nasus, larynx, 2016-04, Vol.43 (2), p.171-175
• Main Authors: Adebola, Stephen Oluwatosin, Abidoye, Babatunde, Ologe, Foluwasayo Emmanuel, Adebola, Oyebola Eyitayo, Oyejola, Benjamin Agboola
• Format: Article
• Language: English
• Subjects: Adult; Allergic rhinitis; Case-Control Studies; Cross-Sectional Studies; Female; Health Status; Health-related quality of life (HRQoL); Humans; Male; Marital Status; Middle Aged; Nigeria; Otolaryngology; Quality of Life; Residence Characteristics; Rhinitis, Allergic; Risk Factors; Sex Factors; Surveys and Questionnaires; Time Factors; Young Adult
• ISSN: 0385-8146; 1879-1476
• DOI: 10.1016/j.anl.2015.08.002

Abstract Objectives To determine the health-related quality of life (HRQoL) in allergic rhinitis patients as well as identify contributory factors to patient's well-being. Methods Cross-sectional study by multistage sampling. Four-month study duration (October 2013 to January 2014). The setting of the study was Kwara State, Nigeria, which has 16 local government areas with 3 senatorial districts, total land mass of 36,825 km2 with a population of 2,591,555. 132 consenting adults; 66 of them have allergic rhinitis (AR) using Score for Allergic Rhinitis (SFAR) instrument and 66 were age- and gender-matched controls ( χ2 = 0, d.f. = 1, P = 1 and χ2 = 1.24, d.f. = 2, P = 0.54, respectively). Information on HRQoL was obtained using the 14-parameter mini-rhinoconjunctivitis quality of life questionnaire (mini-RQLQ). Socio-demographic variables possibly contributory to patient's well-being were obtained. Kruskal–Wallis and Mann–Whitney U tests were used to compare means. Results The overall Total Symptom Score (TSS) was 3.37 ± 0.9, while male and female allergic patients and control TSS were 3.61 ± 1.0; 3.16 ± 0.8, and 0.98 ± 0.2; 0.95 ± 0.2, respectively. Effects of gender, marital status, senatorial districts, residential area and duration of symptoms had significant impact on the quality of life. The highest correlation with TSS and components of mini-RQOL questionnaire existed between nasal problems and other symptoms ( r = 0.866; 0.868). Conclusion AR had appreciable impact on HRQoL of the participants. Gender, number of dependents, marital status, senatorial districts, residential area and duration of symptoms were major identifiable contributory factors to the patient's well-being.