PMC:4536239 / 7722-9340
Annnotations
{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4536239","sourcedb":"PMC","sourceid":"4536239","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4536239","text":"Statistical analysis\nWe compared the clinical characteristics of migraine participants with RLS and migraine participants without RLS using Student’s t-test for continuous variables and the chi-square test for categorical variables. For comparing RLS prevalence among non-headache control, non-migraine headache, and migraine participants, we used the chi-square test.\nWe used logistic regression analysis models to evaluate the association between migraine and RLS and calculated odds ratios (ORs) and their 95 % confidence intervals (CIs). We conducted multivariable logistic regression analysis adjusting for demographic variables and sleep quality. Specifically, the multivariable model controlled for gender, size of residential area, educational level, and sleep quality (PSQI score \u003e5).\nFor assessment of the association between migraine and RLS according to age, we divided our participants into 5 age groups (19–29 years, 30–39 years, 40–49 years, 50–59 years and 60–69 years) and conducted logistic regression analysis for each age group.\nAs with most survey sampling designs, non-response resulted in data missing from several variables. The data reported are based on the available data. Sample sizes of some variables diverge from the total sample size of 2,695 because of non-responses for that particular variable. Imputation techniques were not employed to minimise non-response effects [33].\nIn all statistical analyses, the significance level was 0.05, unless otherwise specified. The results were analysed using the Statistical Package for the Social Sciences 22.0 (SPSS 22.0; IBM, Armonk, NY, USA).","divisions":[{"label":"title","span":{"begin":0,"end":20}},{"label":"p","span":{"begin":21,"end":368}},{"label":"p","span":{"begin":369,"end":793}},{"label":"p","span":{"begin":794,"end":1048}},{"label":"p","span":{"begin":1049,"end":1408}}],"tracks":[]}