Insomnia symptoms quiz8/26/2023 ![]() It generates a 'sleep score' between 0 and 32 based on the answers inputted, with a higher score correlating with better sleep. The quiz asks eight questions on your quality of sleep and mood. It also offers practical tips to boost your sleep, including taking a warm bath, shutting out light and reading before bed. The decision of cutpoint was made after several data runs, as the number of polytomous categories was sequentially reduced.It is thought that one third of people in the UK will have episodes of insomnia at some point in their lives, according to the NHS The IIC for the binomial child item illustrates that the dichotomization of the parent polytomous item has preserved the information profile of the parent item in the approximate region where the case:control separation could be plausibly drawn. In the dichotomous simplification of this item, where the responses are dichotomized, the binomial IIC is located in the approximate location where the thresholds are located in the parent polytomous item. The IIC item evaluation points to where the item provides its overall information. ![]() In the corresponding IIC graphs, the information provided by the summation of the item categories can be noted. In the ICC graphs for the polytomous responses concerning the frequency of difficulty falling asleep, it can be appreciated that the item thresholds are comparatively aggregated in the region of Theta = +1. The IIC curve depicts the information location and strength provided by the item, compared to other questionnaire items, along the same spectrum, based upon the information provided by each ICC curve. For each ICC curve, the inflection point represents the location of item thresholds along the spectrum of responding (“Theta”) where near-neighbor responders were 50% likely to endorse a more severe or less severe item category. These graphs display parent polytomous and child dichotomous item characteristic curves obtained as a part of deriving dichotomous cutpoints for the ISQ questions. Item Characteristic Curve (ICC) and Item Information Curve (IIC) Illustration. Further evaluation of the ISQ, including validation against clinical interviews, is warranted. The high specificities suggest that the ISQ has a high probability of correctly identifying those without insomnia and would be a cost-effective tool in large observational studies in which the prevalence of insomnia is likely to be about 10%. The ISQ captures the multidimensionality of insomnia better than traditional sleep measures as it ascertains symptoms of insomnia that are based on DSM-IV and RDC criteria. Concurrent validity was not confirmed with any of the traditional sleep summary measures (kappas < 0.30). ![]() The ISQ had high specificity (> 90%), but sensitivity, PPV, NPV, and LRs varied according to which sleep measure was used. Reliability was established with Cronbach alpha (alpha = 0.89). The ISQ identified 9.8% of the sample as meeting insomnia, consistent with established diagnostic criteria. The internal consistency and criterion validity of the dichotomized ISQ were compared to traditional measures of sleep from sleep diaries, polysomnography, and the Pittsburgh Sleep Quality Index using kappa statistics, and indices of sensitivity, specificity, positive and negative predictive value (PPV), and likelihood ratio tests (LRs). This yielded a dichotomous outcome consistent with the presence/absence of insomnia. The ISQ was evaluated using IRT algorithms in a cohort of 362 pre-, peri- and post-menopausal women recruited for the SWAN (Study of Women's Health Across the Nation) Sleep Study. The objective was to psychometrically evaluate the Insomnia Symptom Questionnaire (ISQ), a self-report instrument designed to establish a clinically relevant case definition of insomnia consistent with widely used insomnia classification criteria, using methods from classical test theory and item response theory (IRT).
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