Turkish reliability and validity study of the medical outcomes study (MOS) sleep scale in patients with obstructive sleep apnea

Akçay, Bülent Devrim; Akçay, Duygu; Yetkin, Sinan

doi:10.3906/sag-1909-157

Cited by 2 publications

(3 citation statements)

References 23 publications

(33 reference statements)

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“…This questionnaire includes 12 items about sleep disruption, snoring, sleep shortness of breath or headache, sleep adequacy, and sleep somnolence; it additionally measures the number of hours of sleep per day over the previous four weeks. The MOS has been used in several studies, such as discriminating the quality of sleep among a Spanish postmenopausal population [ 9 ], diagnosing cases of apnea [ 7 , 8 ], and identifying sleep disturbance in patients with rheumatoid arthritis [ 31 ], among others.…”

Section: Methodsmentioning

confidence: 99%

“…This underscores the necessity of employing tools such as the Medical Outcomes Study Sleep Scale (MOS) [6] in research to assess sleep quality and its influence on health. Its widespread use in diverse research studies [7][8][9] has deepened studies of how sleep disorders affect various health conditions and populations, thanks to its ability to measure multiple sleep-related aspects.…”

Section: Introductionmentioning

confidence: 99%

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Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study

Gutiérrez-Esparza,

Martinez-Garcia,

Ramírez-delReal

et al. 2024

Nutrients

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This study investigated the relationship between Metabolic Syndrome (MetS), sleep disorders, the consumption of some nutrients, and social development factors, focusing on gender differences in an unbalanced dataset from a Mexico City cohort. We used data balancing techniques like SMOTE and ADASYN after employing machine learning models like random forest and RPART to predict MetS. Random forest excelled, achieving significant, balanced accuracy, indicating its robustness in predicting MetS and achieving a balanced accuracy of approximately 87%. Key predictors for men included body mass index and family history of gout, while waist circumference and glucose levels were most significant for women. In relation to diet, sleep quality, and social development, metabolic syndrome in men was associated with high lactose and carbohydrate intake, educational lag, living with a partner without marrying, and lack of durable goods, whereas in women, best predictors in these dimensions include protein, fructose, and cholesterol intake, copper metabolites, snoring, sobbing, drowsiness, sanitary adequacy, and anxiety. These findings underscore the need for personalized approaches in managing MetS and point to a promising direction for future research into the interplay between social factors, sleep disorders, and metabolic health, which mainly depend on nutrient consumption by region.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study

Gutiérrez-Esparza,

Martinez-Garcia,

Ramírez-delReal

et al. 2024

Nutrients

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“… 26 Ten of the 12 questions demand 6-point Likert-type responses, while one requires 5-point responses. Akcay et al 27 performed Turkish adaptation and validation of the scale in patients with obstructive sleep apnea.…”

Section: Instruments Assessing Insomnia Symptoms and General Sleep Pr...mentioning

confidence: 99%

A Review of Turkish Self-Reporting Instruments for Sleep Problems in Children, Adolescents, and Adults

Bozkurt,

Uygur,

Yıldırım Demirdöğen

et al. 2024

The Eurasian Journal of Medicine

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Many self-reported sleep instruments have been developed and adapted into many languages, including Turkish, and their psychometric properties have been examined. This study aims to present a literature review on self-report instruments adapted into Turkish and used to assess different aspects of sleep in child, adolescent, and adult populations. Terms related to sleep self-report instruments were applied to 4 search engines: PubMed, EMBASE, Scopus, and Google Scholar. The search engines were searched for articles published until October 2023. Assessment instruments whose psychometric properties were not evaluated in Turkish language were excluded from the study. This study defined 27 sleep instruments, including 9 child and adolescent and 18 adult sleep instruments. Increasing the availability of Turkish sleep tools for children and adult will improve the chance of intervention by increasing the identification of sleep disorders.

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Turkish reliability and validity study of the medical outcomes study (MOS) sleep scale in patients with obstructive sleep apnea

Cited by 2 publications

References 23 publications

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study

A Review of Turkish Self-Reporting Instruments for Sleep Problems in Children, Adolescents, and Adults

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