Association between Depression and Insomnia Subtypes: A Longitudinal Study on the Elderly in Japan

Yokoyama, Eise; Kaneita, Yoshitaka; Saito, Yasuhiko; Uchiyama, Makoto; Matsuzaki, Yoko; Tamaki, Takehiro; Munezawa, Takeshi; Ohida, Takashi

doi:10.1093/sleep/33.12.1693

Cited by 155 publications

(148 citation statements)

References 22 publications

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“…Sleep disturbances are a hallmark of the depressive disorder, with approximately 80% of patients with depression complaining of a deterioration in the quantity and quality of sleep. 18 Lopes et al 36 also identified an association between depression and excessive daytime sleepiness, a manifestation of sleep dysfunction during wakefulness, and found that men with depression were more associated with this dysfunction.…”

Section: Sleep Characteristicmentioning

confidence: 98%

“…34,35 The consequences of insomnia for mental health have still not been fully investigated, but it has been found that the condition can increase the risk of depression. 18 In a study of 196 subjects aged 62 to 65 Yokoyama et al 18 found an association between depression and sleep disturbance, and identified a bidirectional relationship between the two. Sleep disturbances are a hallmark of the depressive disorder, with approximately 80% of patients with depression complaining of a deterioration in the quantity and quality of sleep.…”

Section: Sleep Characteristicmentioning

confidence: 99%

“…Insomnia was identified as "present" or "absent" based on the findings of difficulty falling and staying asleep or waking up early for no apparent reason. 18 A positive response for any of these conditions represented insomnia.…”

Section: Study Variables and Data Collection Instrumentsmentioning

confidence: 99%

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Associação da depressão com as características sociodemográficas, qualidade do sono e hábitos de vida em idosos do Nordeste brasileiro: estudo seccional de base populacional

Lopes

Fernandes

Dantas

et al. 2015

Rev. bras. geriatr. gerontol.

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Introduction: Depressive disorders can be defined as episodes of depressed mood or loss of interest and pleasure in nearly all activities. Depression is considered a major mental disorder in the elderly, and may be related to quality of sleep and living habits as well as being influenced by sociodemographic factors. Objective: To determine the prevalence of depression among the elderly in the north-east of Brazil, and the relationship between the condition and socio-demographic profile, quality of sleep and living habits. Method: An epidemiological cross-sectional study was performed of the elderly population of the urban area of Campina Grande, Paraiba. The dependent variable presence of depression and the independent variables sociodemographic aspects, sleep quality, and living habits were investigated. Estimates of the prevalence of the variables were obtained and association measured using Poisson Regression. A 5% significance level was adopted for the estimates. Results: The study included 168 elderly patients with a mean age of 72.3 (±7.8) years, most of whom, 122 (72.6%), were women. Depression was identified in 72 elderly persons (42.9%). Elderly women were twice as associated with depression (PR=2.26) as men. A subjective quality of sleep of very good (PR=0.34), medium/high risk of sleep disturbance (PR = 4.08), taking sleeping medications once or twice (PR=5.21) and three times or more (PR=8.69) a week, daytime dysfunction once or twice (PR=14.40) and three times or more (PR=27) a week and poor quality of sleep on the Pittsburgh index were associated with depression in bivariate analysis, although there was no relationship following multivariable adjustment. Conclusion: The prevalence of depression was high in the studied population, being noticeably more frequent among elderly woman. However, it was not possible to detect an association between depression and living habits and sleep quality.

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Section: Sleep Characteristicmentioning

confidence: 98%

Section: Sleep Characteristicmentioning

confidence: 99%

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Associação da depressão com as características sociodemográficas, qualidade do sono e hábitos de vida em idosos do Nordeste brasileiro: estudo seccional de base populacional

Lopes

Fernandes

Dantas

et al. 2015

Rev. bras. geriatr. gerontol.

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“…For example, predetermined categories have included insomnia disorder subtypes, such as psychophysiological, paradoxical, or idiopathic insomnia, insomnia related to a mental disorder, which has been associated with different disease characteristics, [45][46][47] treatment perceptions, 47,48 and treatment responses. 47,49 Nightly insomnia symptoms (sleep onset or sleep maintenance problems or EMA) have also been associated with different disease characteristics [50][51][52][53][54][55][56] and treatment responses. 57,58 More recently, the heterogeneity driven by objective TST has garnered attention.…”

Section: Discussionmentioning

confidence: 99%

Characterization of Patients Who Present With Insomnia: Is There Room for a Symptom Cluster-Based Approach?

Crawford

Chirinos

Iurcotta

et al. 2017

Journal of Clinical Sleep Medicine

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Study Objectives: This study examined empirically derived symptom cluster profiles among patients who present with insomnia using clinical data and polysomnography. Methods: Latent profile analysis was used to identify symptom cluster profiles of 175 individuals (63% female) with insomnia disorder based on total scores on validated self-report instruments of daytime and nighttime symptoms (Insomnia Severity Index, Glasgow Sleep Effort Scale, Fatigue Severity Scale, Beliefs and Attitudes about Sleep, Epworth Sleepiness Scale, Pre-Sleep Arousal Scale), mean values from a 7-day sleep diary (sleep onset latency, wake after sleep onset, and sleep efficiency), and total sleep time derived from an in-laboratory PSG. Results:The best-fitting model had three symptom cluster profiles: "High Subjective Wakefulness" (HSW), "Mild Insomnia" (MI) and "Insomnia-Related Distress" (IRD). The HSW symptom cluster profile (26.3% of the sample) reported high wake after sleep onset, high sleep onset latency, and low sleep efficiency. Despite relatively comparable PSG-derived total sleep time, they reported greater levels of daytime sleepiness. The MI symptom cluster profile (45.1%) reported the least disturbance in the sleep diary and questionnaires and had the highest sleep efficiency. The IRD symptom cluster profile (28.6%) reported the highest mean scores on the insomnia-related distress measures (eg, sleep effort and arousal) and waking correlates (fatigue). Covariates associated with symptom cluster membership were older age for the HSW profile, greater obstructive sleep apnea severity for the MI profile, and, when adjusting for obstructive sleep apnea severity, being overweight/obese for the IRD profile. Conclusions:The heterogeneous nature of insomnia disorder is captured by this data-driven approach to identify symptom cluster profiles. The adaptation of a symptom cluster-based approach could guide tailored patient-centered management of patients presenting with insomnia, and enhance patient care. Keywords: insomnia disorder, latent profile analysis, symptom profile, symptom clusters Citation: Crawford MR, Chirinos DA, Iurcotta T, Edinger JD, Wyatt JK, Manber R, Ong JC. Characterization of patients who present with insomnia: is there room for a symptom cluster-based approach? J Clin Sleep Med. 2017;13(7):911-921. I NTRO DUCTI O NInsomnia is the experience of the difficulty falling asleep, difficulty staying asleep, or early morning awakenings. About one-third to one-half of adults complains of these symptoms. Frequently, other complaints, such as sleepiness, fatigue, and hyperarousal, will occur with nocturnal sleep disturbance. An insomnia disorder is defined in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) 2 as the combination of the nocturnal sleep disturbance with one of these waking complaints at least 3 nights a week for at least 3 months. Approximately 8% to 10% of the adult population meets these criteria. 3,4Insomnia disorder is a heterogeneous condition.5 This can pose a chall...

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“…7 The interplay between these psychopathologies is not fully understood; however, their functional relationship has become a focus of recent investigation. 8,9 By using self-rating scales, epidemiological surveys have demonstrated the significant association between chronic insomnia and depression in young adults, as well as in elderly populations. 3,9 Insomnia is the major complaint among those patients with MDD, and about 40% to 80% of such patients complained of insomnia, or poor sleep quality.…”

mentioning

confidence: 99%

Association between chronic insomnia and depression in elderly adults

Chen¹

2012

Journal of the Chinese Medical Association

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Association between Depression and Insomnia Subtypes: A Longitudinal Study on the Elderly in Japan

Cited by 155 publications

References 22 publications

Associação da depressão com as características sociodemográficas, qualidade do sono e hábitos de vida em idosos do Nordeste brasileiro: estudo seccional de base populacional

Associação da depressão com as características sociodemográficas, qualidade do sono e hábitos de vida em idosos do Nordeste brasileiro: estudo seccional de base populacional

Characterization of Patients Who Present With Insomnia: Is There Room for a Symptom Cluster-Based Approach?

Association between chronic insomnia and depression in elderly adults

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