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1.
Health Qual Life Outcomes ; 18(1): 113, 2020 Apr 28.
Article in English | MEDLINE | ID: mdl-32345313

ABSTRACT

BACKGROUND: Psychometric investigations of tools used in the screening of migraine including the migraine screen questionnaire (MS-Q), using an adequate statistical approach is needed. We assessed the psychometric properties of the migraine screen questionnaire (MS-Q) using categorical data methods. MATERIAL AND METHODS: A total of 343 students at Mizan-Tepi University, Ethiopia, age range = 18-35 years were selected by a simple random sampling method to participate in a cross-sectional study. The respondents completed the MS-Q, a semi-structured socio-demographic questionnaire, and a visual analog scale for attention (VAS-A). RESULTS: The cumulative variance rule (> 40%), the Kaiser's criteria (Eigenvalue> 1), the Scree test and, the parallel analysis (minimum rank) identified a 1-factor model for the MS-Q with the factor loadings in the range of 0.78 to 0.84. Fit indices favored a 1-factor model of the MS-Q as indicated by comparative fit index (0.993), weighted root mean square residual (0.048), root mean square error of approximation (0.067), the goodness of fit index (1.00), and non-normed fit index (0.987). The values of the Factor Determinacy Index (0.953), marginal reliability (0.909), H-latent (0.909), H-observed (0.727), explained common variance (0.906) and the mean item residual absolute loadings (0.225) further complimented finding of the 1-Factor model. McDonald's Omega (0.903) suggested adequate internal consistency. Discriminative validity was supported by significantly higher scores for the total and all the MS-Q items except one among those with complaints of attention. CONCLUSION: The categorical methods support the psychometric validity of the MS-Q in the study population.


Subject(s)
Migraine Disorders/diagnosis , Psychometrics , Surveys and Questionnaires , Adolescent , Adult , Analysis of Variance , Cross-Sectional Studies , Ethiopia , Factor Analysis, Statistical , Female , Humans , Male , Quality of Life , Reproducibility of Results , Socioeconomic Factors , Students , Universities , Visual Analog Scale , Young Adult
2.
Health Qual Life Outcomes ; 17(1): 30, 2019 Feb 07.
Article in English | MEDLINE | ID: mdl-30732633

ABSTRACT

BACKGROUND: Daytime sleepiness is highly prevalent across the globe. The Epworth sleepiness scale (ESS) is the most widely used tool for screening daytime sleepiness. The psychometric properties of the ESS have not been comprehensively examined in African populations. MATERIAL AND METHODS: A cross-sectional design with simple random sampling was used in the present study. The study recruited 600 students from Mizan-Tepi University, Ethiopia, of which 329 (age = 18-28 years and body mass index = 21.19 ± 3.17 kg/m2) completed the study. ESS, a semi-structured socio-demographics questionnaire and a clinical interview to diagnose insomnia according to the International Classification of Sleep Disorders were employed. RESULTS: All except one item of the ESS showed a floor effect, while only one item score showed ceiling effect. However, no ceiling/floor effect was observed in the ESS total score. The Cronbach's alpha (0.75) and composite reliability (0.75), indicated good internal consistency, while a moderate item-total score correlation (r = 0.55-0.67) implied favorable internal homogeneity. The known-group validity was established by significantly higher scores for all the ESS item scores and the ESS total scores among those with symptoms of insomnia than among non-symptomatic students. Fit indices along with the consideration of inter-factor correlation coefficient, measures of item retention favored the unidimensional structure of the ESS. CONCLUSION: The ESS has excellent psychometric validity for screening daytime sleepiness in Ethiopian university students.


Subject(s)
Sleep Wake Disorders/diagnosis , Sleepiness , Surveys and Questionnaires/standards , Adult , Cross-Sectional Studies , Ethiopia , Female , Humans , Male , Psychometrics/statistics & numerical data , Quality of Life , Reproducibility of Results , Students/psychology , Universities , Young Adult
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