Insomnia Caused by Medical Disorders

Plotkin, Kenneth E.

doi:10.1007/978-1-60327-042-7_15

Cited by 6 publications

(5 citation statements)

References 70 publications

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“…Alternative responses to each question were dichotomized. Sleep problems were indicated when the following criteria were fulfilled: (1) general sleep quality (seldom or never good); (2) difficulty falling asleep (Q3 nights/wk); (3) sleep latency (930 min); (4) nocturnal awakenings (Q3 times per night); (5) restless sleep (quite restless or very restless sleep); (6) snoring (Q3 nights/wk); (7) witnessed apnea (Q3 times per week); (8) morning headache (Q1 times per week); (9) morning tiredness (Q3 d/wk); (10) daytime tiredness (Q3 d/wk); (11) unintentional falling asleep at work or during leisure time (Q3 d/wk); (12) unintentional falling asleep when not active (eg, watching TV; frequently or almost every time); (13) naps during the day (Q1 times per week); (14) use of sleep medication (Q1 times per week). In the BNSQ, items 2 to 5 and 14 referred to insomnia, items 6 to 8 referred to sleep-disordered breathing, and items 9 to 13 referred to excessive daytime sleepiness.…”

Section: Methodsmentioning

confidence: 99%

“…6,13 Furthermore, for women already in midlife, ill health may cause or contribute to sleep disturbances and insomnia. 14 In addition, primary sleep disorders (such as sleep-disordered breathing, restless legs syndrome, and periodic limb movements during sleep) initiate sleep disturbances. 13 Stressful life events, such as marital crises, loss of significant others, or growing demands at work and in the society, 15 may impact on sleep quality.…”

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confidence: 99%

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Sleep in midlife women

et al. 2014

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Section: Methodsmentioning

confidence: 99%

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confidence: 99%

Sleep in midlife women

et al. 2014

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“…However, a part of CNS medication was prescribed for chronic pain. Chronic pain is universally associated with disrupted sleep [14]. Perceived impaired general health at baseline predicted menopausal sleep disturbances.…”

Section: Discussionmentioning

confidence: 99%

Predictors of sleep disturbance in menopausal transition

et al. 2016

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a b s t r a c tObjective: This follow-up study aimed to evaluate risk factors for menopausal sleep disturbances already identifiable before menopause. Methods: At baseline, all 81 women were premenopausal. At year-five follow-up, 27 of the women were premenopausal, 40 postmenopausal, and 14 postmenopausal and using hormone therapy. We used the Basic Nordic Sleep Questionnaire to study sleep; additional questionnaires evaluated risk factors for sleep impairment.Results: Sleep quality differed only marginally between the groups. The following baseline variables were associated with impaired sleep quality at follow-up: depressive symptoms increased the risk of nocturnal awakenings (OR 1.16 (95%CI 1.02-1.32), p = 0.025), morning tiredness (OR 1.22 (95%CI 1.06-1.40), p = 0.007), daytime tiredness (OR 1.24 (95%CI 1.06-1.44), p = 0.007) and propensity to fall asleep during work or leisure time (OR 1.18 (95%CI 1.01-1.37), p = 0.036). Personal crises increased the risk of longer sleep latency (OR 5.46 (95%CI 1.13-26.32), p = 0.035) and of propensity to fall asleep when not active ), p = 0.014). Use of medications affecting the CNS increased the risk of worse general sleep quality (OR 11.44 (95% CI 1.07-121.79), p = 0.044). Perceived impaired general health (OR 2.87 (95%CI 1.04-7.94), p = 0.043) and frequent night sweats ), p = 0.003) increased the risk of difficulty falling asleep. Conclusions: Various premenopausal health-related factors seem to predict poor sleep in menopausal transition. Menopause itself appears to have only minor effects. Thus, it is essential to identify highrisk women to allow timely interventions that may prevent the development of sleep disturbances at menopause.

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“…Preference was given to SNPs in coding regions or known transcription factor binding sites, identified as non-synonymous mutations, and with minor allele frequency ≥.20 in the HapMap CEU population. 17 Of 494 SNPs initially identified, 384 were retained after an iterative custom panel design process. Although not included due to a priori hypotheses of associations with HFI, many SNPs were on genes with plausible implications for hot flashes.…”

Section: Methodsmentioning

confidence: 99%

Course and Moderators of Hot Flash Interference during Androgen Deprivation Therapy for Prostate Cancer: A Matched Comparison

et al. 2015

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Purpose Many men receiving androgen deprivation therapy (ADT) for prostate cancer experience hot flashes. This study aimed to describe the course of hot flash interference (HFI) over time in ADT recipients relative to matched prostate cancer and cancer-free controls, from before the start of ADT to 12 months later. We also examined demographic, clinical, and genetic predictors of the impact of ADT on hot flash interference. Materials and Methods Three groups were examined: prostate cancer patients recruited before or within 21 days of starting ADT (n=60), age- and education-matched prostate cancer patients treated with prostatectomy only (n=83), and age- and education-matched men with no history of cancer (n=86). Participants provided blood samples and completed the Hot Flash Daily Interference Scale at baseline as well as 6 and 12 months later. Results ADT recipients reported increasing HFI over time relative to controls (p<.001). Group differences were evident at 6 and 12 months (ps<.001), with ADT recipients reporting greater HFI than controls. Several genetic polymorphisms were found to predict greater increases in HFI (ps<.01), including polymorphisms on genes associated with vasoconstriction, immune function, neurotransmission, and circadian rhythms. ADT recipients who were younger and had lower body mass index at baseline also exhibited greater increases in HFI over time (ps≤.01). Conclusions This study, the first to prospectively examine HFI in ADT recipients, found that those with certain genetic polymorphisms, younger age, and lower BMI had greater increases in HFI over time relative to controls.

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Insomnia Caused by Medical Disorders

Cited by 6 publications

References 70 publications

Sleep in midlife women

Sleep in midlife women

Predictors of sleep disturbance in menopausal transition

Course and Moderators of Hot Flash Interference during Androgen Deprivation Therapy for Prostate Cancer: A Matched Comparison

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