Review of sleep studies of patients with chronic insomnia at a sleep disorder unit

Wong, Sheau-Hwa; Ng, Beng-Yeong

doi:10.11622/smedj.2015089

Cited by 19 publications

(9 citation statements)

References 19 publications

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“…[ 17 ] A recent study done in Singapore illustrated that many patients with chronic insomnia have underlying primary sleep disorders. [ 18 ] Our study did not consider evaluating for other sleep disorders due to practical difficulties in doing sleep studies in primary care settings.…”

Section: Resultsmentioning

confidence: 99%

Prevalence of chronic insomnia in adult patients and its correlation with medical comorbidities

Bhaskar¹,

Hemavathy

Prasad³

2016

J Family Med Prim Care

302

155

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Introduction:Insomnia is one of the common but neglected conditions seen in family practice with long term and serious effects on health of a patient. Family physicians have the responsibility of diagnosing and adequately treating this. This study was done to find the prevalence of chronic insomnia in adult patients visiting a family medicine outpatient department (OPD) in a hospital and to assess the risk factors and co morbidities associated with it.Materials and Methods:A cross-sectional study was done in the family medicine OPD at St. Philomena's Hospital, Bengaluru. All adult patients attending the OPD from September 1 to October 30, 2015 were enrolled in the study after obtaining written consent. Athens Insomnia Scale was used to diagnose insomnia and information regarding medical co morbidities was collected. Data was analyzed for the prevalence of insomnia and its association with co morbidities.Results:Chronic insomnia was seen in 33% of the adult population sampled. Increasing age and diabetes were significantly associated with insomnia, while other socioeconomic factors and co morbidities were not significantly associated. Twenty-seven percent of patients who had insomnia did not perceive the condition, which was statistically significant.Conclusion:Insomnia is a common sleep disorder which is many times missed by a primary care physician until/unless asked for. Since there is a higher incidence with increasing age and co morbidities such as diabetes, all patients, especially middle-aged and diabetics, should be screened for insomnia by the primary care physician with a self assessed questionnaire and counseled.

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Section: Resultsmentioning

confidence: 99%

Prevalence of chronic insomnia in adult patients and its correlation with medical comorbidities

Bhaskar¹,

Hemavathy

Prasad³

2016

J Family Med Prim Care

302

155

View full text Add to dashboard Cite

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“…At present, research on sleep problems has been extended into the domains of epidemiology, neurobiological mechanisms, and etiology [24,25,26,27]. Melatonin (MLT) is a neuroregulatory hormone secreted by the pineal gland.…”

Section: Introductionmentioning

confidence: 99%

Cross-Sectional Survey on the Relationship Between Occupational Stress, Hormone Levels, and the Sleep Quality of Oilfield Workers in Xinjiang, China

Gao

Liu

2019

IJERPH

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The impact of psychosocial factors on health has received increased attention. This study employed a multi-stage hierarchical cluster sampling method and a cross-sectional survey was conducted from March to August 2017. By studying 2116 oilfield workers based in Karamay, Xinjiang, the relationship between occupational stress, blood hormone levels, and sleep was analyzed. Occupational stress was measured using the internationally accepted Occupational Stress Inventory Revised Edition (OSI-R) questionnaire and sleep disorders were measured using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The study found that the sleep quality of respondents was not high and the incidence of sleep disorders was 36.67%. The higher the level of occupational stress, the higher the incidence of sleep disorders. Irregular shifts can affect sleep quality and individuals with high-level professional titles experience a higher incidence of sleep disorders than those with low-level titles. The total score of the PSQI was different among the low, medium, and high stress groups. The higher the level of stress, the higher the scores of subjective sleep quality, sleep disorder, and daytime dysfunction. The scores of the PSQI, subjective sleep quality, sleep time, sleep disturbance, and daytime dysfunction in the high-stress group were higher than those in the low stress group. A case-control study found that the concentration of glucocorticoids in the sleep disorder positive group was lower than that in the sleep disorder negative group. The results of the regression analysis showed that glucocorticoid is a protective factor for sleep disorders (OR = 0.989, 95% CI: 0.983–0.995), suggesting that the higher the level of glycosaminoglycan, the less likely the subject is to have sleep disorders. For example, in the case of high occupational stress, the interaction between low and moderate occupational stress levels and glucocorticoids is a protective factor for sleep disorders.

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“…Insomnia has been described as an underdiagnosed and undertreated disease in multiple studies 3 – 5 and its prevalence has been estimated between 10% and 40%, depending on the definition of insomnia used 6 . These prevalence estimates suggest a potentially high medical burden of insomnia and associated conditions, but existing data are typically from smaller studies in selected populations 7 – 9 .…”

Section: Introductionmentioning

confidence: 99%

Development of an Algorithm to Identify Patients with Physician-Documented Insomnia

Kartoun

Aggarwal

Beam

et al. 2018

Sci Rep

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We developed an insomnia classification algorithm by interrogating an electronic medical records (EMR) database of 314,292 patients. The patients received care at Massachusetts General Hospital (MGH), Brigham and Women’s Hospital (BWH), or both, between 1992 and 2010. Our algorithm combined structured variables (such as International Classification of Diseases 9th Revision [ICD-9] codes, prescriptions, laboratory observations) and unstructured variables (such as text mentions of sleep and psychiatric disorders in clinical narrative notes). The highest classification performance of our algorithm was achieved when it included a combination of structured variables (billing codes for insomnia, common psychiatric conditions, and joint disorders) and unstructured variables (sleep disorders and psychiatric disorders). Our algorithm had superior performance in identifying insomnia patients compared to billing codes alone (area under the receiver operating characteristic curve [AUROC] = 0.83 vs. 0.55 with 95% confidence intervals [CI] of 0.76–0.90 and 0.51–0.58, respectively). When applied to the 314,292-patient population, our algorithm classified 36,810 of the patients with insomnia, of which less than 17% had a billing code for insomnia. In conclusion, an insomnia classification algorithm that incorporates clinical notes is superior to one based solely on billing codes. Compared to traditional methods, our study demonstrates that a classification algorithm that incorporates physician notes can more accurately, comprehensively, and quickly identify large cohorts of insomnia patients.

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Review of sleep studies of patients with chronic insomnia at a sleep disorder unit

Cited by 19 publications

References 19 publications

Prevalence of chronic insomnia in adult patients and its correlation with medical comorbidities

Prevalence of chronic insomnia in adult patients and its correlation with medical comorbidities

Cross-Sectional Survey on the Relationship Between Occupational Stress, Hormone Levels, and the Sleep Quality of Oilfield Workers in Xinjiang, China

Development of an Algorithm to Identify Patients with Physician-Documented Insomnia

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