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Sleep assessment is a fundamental part of health evaluation. In fact, many diseases (such as obesity, diabetes, or hypertension, as well as psychiatric, neurological, and cardiovascular diseases) produce sleep disorders that are often used as indicators, diagnosis (symptoms), or even as predictors (eg, for depression) of health. For this reason, many efforts have been devoted to designing methods to control and report on sleep quality. Two of the most used sleep assessment tools are sleep questionnaires and sleep diaries. Both methods have a very low cost are easy to administer do not require a sleep centre (unlike, eg, polysomnography), and can be self-administered. Most important, as it has been shown in recent studies, their accuracy is relatively high. In this survey, we systematically review and compare these tools. We examine the evolution of sleep questionnaires and diaries over time, and compare their structure and usage. We also review the validation studies and comparatives performed in previous studies. This allows us to compare the relative sensitivities and specificities of these methods. Modern sleep diaries come in the form of an app. Therefore, we also present the most advanced and used apps, and discuss their advantages over classical paper diaries.
Sleep diaries, Sleep questionnaires, Surveys and Questionnaires, Sleep detection methods, Humans, Sleep quality assessment, Sleep, LENGUAJES Y SISTEMAS INFORMATICOS, Mobile Applications
Sleep diaries, Sleep questionnaires, Surveys and Questionnaires, Sleep detection methods, Humans, Sleep quality assessment, Sleep, LENGUAJES Y SISTEMAS INFORMATICOS, Mobile Applications
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 124 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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