The Sleep Disorders Questionnaire I: Creation and Multivariate Structure of SDQ

Douglass, Alan B.; Bornstein, Robert A.; Niño-Murcia, German; Keenan, Sharon; Miles, Laughton E.; Zarcone, Vincent P.; Guilleminault, Christian; Dement, William C.

doi:10.1093/sleep/17.2.160

Cited by 474 publications

(333 citation statements)

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“…The characteristics of the included studies are summarized in Table 1. The excluded studies 11,[16][17][18][19][20][22][23][24] and the reasons for their exclusion are listed in Table 2.…”

Section: Resultsmentioning

confidence: 99%

“…Studies were excluded from the review if there was inadequate information to draw the 2 by 2 contingency tables (seven papers). 11,[16][17][18][19][20] A validated computer program for meta-analysis of test accuracy data (Meta-DiSc, 21 version 1.4, Hospital Ramony Cajal, Madrid, Spain) was used to describe the overall accuracy of the questionnaires and to assess inconsistencies in accuracy parameters (sensitivity and specificity) across studies (heterogeneity). Accuracy parameters with a similar target population were analyzed together (sleep-disorder patients vs patients without history of sleep disorders).…”

Section: Data Extraction and Analysismentioning

confidence: 99%

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A systematic review of screening questionnaires for obstructive sleep apnea

Abrishami

Khajehdehi

Chung

2010

Can J Anesth/J Can Anesth

481

341

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Purpose Obstructive sleep apnea (OSA) may lead to lifethreatening problems if it is left undiagnosed. Polysomnography is the ''gold standard'' for OSA diagnosis; however, it is expensive and not widely available. The objective of this systematic review is to identify and evaluate the available questionnaires for screening OSA. Source We carried out a literature search through MEDLINE, EMBASE, and CINAHL to identify eligible studies. The methodological validity of each study was assessed using the Cochrane Methods Group's guideline. Principal findings Ten studies (n = 1,484 patients) met the inclusion criteria. The Berlin questionnaire was the most common questionnaire (four studies) followed by the Wisconsin sleep questionnaire (two studies). Four studies were conducted exclusively on ''sleep-disorder patients'', and six studies were conducted on ''patients without history of sleep disorders''. For the first group, pooled sensitivity was 72.0% (95% confidence interval [CI]: 66.0-78.0%; I 2 = 23.0%) and pooled specificity was 61.0% (95% CI: 55.0-67.0%; I 2 = 43.8%). For the second group, pooled sensitivity was 77.0% (95% CI: 73.0-80.0%; I 2 = 78.1%) and pooled specificity was 53.0% (95% CI: 50-57%; I 2 = 88.8%). The risk of verification bias could not be eliminated in eight studies due to insufficient reporting. Studies on snoring, tiredness, observed apnea, and high blood pressure (STOP) and STOP including body mass index, age, neck circumference, gender (Bang) questionnaires had the highest methodological quality. ConclusionThe existing evidence regarding the accuracy of OSA questionnaires is associated with promising but inconsistent results. This inconsistency could be due to studies with heterogeneous design (population, questionnaire type, validity). STOP and STOP-Bang questionnaires for screening of OSA in the surgical population are suggested due to their higher methodological quality and easyto-use features. RésuméObjectif L'apne´e obstructive du sommeil (AOS) peut provoquer des proble`mes de sante´fatals si elle n'est pas diagnostique´e. La polysomnographie est «l'e´talon or» du diagnostic de l'AOS; cependant, cette me´thode est one´reuse et n'est pas disponible partout. L

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“…The characteristics of the included studies are summarized in Table 1. The excluded studies 11,[16][17][18][19][20][22][23][24] and the reasons for their exclusion are listed in Table 2.…”

Section: Resultsmentioning

confidence: 99%

Section: Data Extraction and Analysismentioning

confidence: 99%

A systematic review of screening questionnaires for obstructive sleep apnea

Abrishami

Khajehdehi

Chung

2010

Can J Anesth/J Can Anesth

481

341

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“…Sample eligibility was also limited to members who provided the plan with a telephone number, could speak English, and had no impairment that limited their ability to be interviewed over the telephone. The sample was selected with stratification to match the United States census population distribution on the cross-classification of age (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49), 50-64, 65-74 and 75+), sex, urbanicity (Census Standard Metropolitan Statistical Areas [SMSA], non-SMSA urbanized areas, and rural areas), and census region (Northeast, South, Midwest, and West).…”

Section: The Main Ais Samplementioning

confidence: 99%

“…While these issues of noncomparability make it impossible to evaluate the comparative performance of the BIQ versus other fully structured insomnia measures such as the Pittsburgh Sleep Quality Index 5 or SDQ, 32 our results show clearly that diagnoses based on dichotomous BIQ classifications have substantial concordance with clinical diagnoses of insomnia based on DSM-IV-TR and any criteria, fair to moderate concordance with clinical diagnoses based on RDC/ICSD-2 criteria, and fair concordance with diagnoses based on ICD-10 criteria. In addition, we found that probability-of-diagnosis measures based on BIQ item-level data have consistently excellent AUCs (0.92-0.95) across all diagnostic systems.…”

Section: Acknowledgmentsmentioning

confidence: 99%

“…[10][11][12] This approach excludes people who have some evidence of sleep problems but do not meet full criteria for insomnia in a clinical interview. For example, the validity of a short insomnia questionnaire known as the Sleep Disorders Questionnaire (SDQ) 32 was evaluated (0.94). Correlations for assessments of daytime impairment and distress due to sleep problems are in the range 0.71 to 0.88.…”

Section: Bias Introduced By Using Super-normal Controlsmentioning

confidence: 99%

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Reliability and Validity of the Brief Insomnia Questionnaire in the America Insomnia Survey

Kessler¹,

Coulouvrat²,

Hajak³

et al. 2010

Sleep

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Design: Probability subsamples of AIS respondents, oversampling BIQ positives, completed short-term test-retest interviews (n = 59) or clinical reappraisal interviews (n = 203) to assess BIQ reliability and validity. Setting: The AIS is a large (n = 10,094) epidemiologic survey of the prevalence and correlates of insomnia. Participants: Adult subscribers to a national managed healthcare plan. Intervention: None Measurements and Results: BIQ test-retest correlations were 0.47-0.94 for nature of the sleep problems (initiation, maintenance, nonrestorative sleep [NRS]), 0.72-0.95 for problem frequency, 0.66-0.88 for daytime impairment/distress, and 0.62 for duration of sleep. Good individual-level concordance was found between BIQ diagnoses and diagnoses based on expert interviews for meeting hierarchy-free inclusion criteria for diagnoses in any of the diagnostic systems, with area under the receiver operating characteristic curve (AUC, a measure of classification accuracy insensitive to disorder prevalence) of 0.86 for dichotomous classifications. The AUC increased to 0.94 when symptom-level data were added to generate continuous predicted-probability of diagnosis measures. The AUC was lower for dichotomous classifications based on RDC/ICSD-2 (0.68) and ICD-10 (0.70) than for DSM-IV-TR (0.83) criteria but increased consistently when symptom-level data were added to generate continuous predicted-probability measures of RDC/ICSD-2, ICD-10, and DSM-IV-TR diagnoses (0.92-0.95). Conclusions: These results show that the BIQ generates accurate estimates of the prevalence and correlates of hierarchy-free insomnia in the America Insomnia Survey.

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The Role of the Primary Care Physician in Recognizing Obstructive Sleep Apnea

Kramer

Cook²,

Carlisle³

et al. 1999

Arch Intern Med

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Primary care physicians did recognize obese patients with prominent symptoms of sleep apnea. However, only a small percentage of their patient panel was referred, suggesting that this condition is still underdiagnosed. This seems particularly true as most of the sleep studies were ordered by a small group of physicians. Future work incorporating educational interventions is necessary to improve detection and treatment of OSA.

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The Sleep Disorders Questionnaire I: Creation and Multivariate Structure of SDQ

Cited by 474 publications

References 0 publications

A systematic review of screening questionnaires for obstructive sleep apnea

A systematic review of screening questionnaires for obstructive sleep apnea

Reliability and Validity of the Brief Insomnia Questionnaire in the America Insomnia Survey

The Role of the Primary Care Physician in Recognizing Obstructive Sleep Apnea

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