scholarly journals The influence of subjective sleep quality on the association between eveningness and depressive symptoms.

2018 ◽  
Author(s):  
Charlotte Mary Horne ◽  
Ray Norbury

Increasing evidence suggests that eveningness is associated with increased risk for depression. Eveningness, however, is also associated with poor sleep quality and the unique role of eveningness in depressive symptomatology remains to be elucidated. The goal of the current study, therefore, was to examine the inter-relationships between eveningness, subjective sleep quality and depressive symptoms in healthy participants free of current or previous depression and sleep disorder. Here, 167 healthy participants (mean age 24.16, 129/38 females/males) completed the reduced Morningness-Eveningness Questionnaire (rMEQ), the Pittsburgh Sleep Quality Index (PSQI) and the Centre for Epidemiological Studies Depression Scale (CES-D). Bootstrap mediation analysis for a simple mediation model including rMEQ, PSQI and CES-D was applied. Eveningness was associated with increased depressive symptoms and mediation analysis showed that this relationship was partly mediated by sleep quality. Our results suggest that indicators of depression observed in evening-type individuals cannot be attributed exclusively to disturbed sleep. We suggest that interventions that target both sleep quality and dysfunctionl cognitive styles would be optimal to promote well-being in evening-type individuals.

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 766-766
Author(s):  
Amber Kautz ◽  
Ying Meng ◽  
Emily S Barrett ◽  
Jessica Brunner ◽  
Richard Miller ◽  
...  

Abstract Objectives During pregnancy women are at increased risk of poor sleep quality and depression. Serotonin and melatonin are compounds that are involved in regulation of sleep and mood. Several nutrients are involved in the synthesis of these compounds, including tryptophan, docosahexaenoic acid (DHA), and vitamin D. Studies exploring associations between these nutrients and sleep, as well as mood, have been largely limited to the general population, showing mixed results. The aim of this study was to assess the associations of dietary intake of these nutrients with sleep quality and depression in pregnant women. Methods Participants enrolled in the Understanding Pregnancy Signals and Infant Development (UPSIDE) Study (n = 253) were included in this analysis if they completed dietary, sleep and depression assessments during the 2nd trimester. Dietary and supplement intake were measured using 24-hour dietary recalls. The NCI method was used to estimate usual intake. Sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were measured with the Edinburgh Postnatal Depression Scale (EPDS). Multivariable linear regression was conducted to estimate the associations between nutrients and sleep/depression, adjusting for age, race/ethnicity, parity, education, early pregnancy body mass index, smoking status, energy and macronutrient intake. Results The NCI adjusted mean intakes of tryptophan, DHA, and vitamin D were 1.02 ± 0.11 g/day, 0.13 ± 0.11g/day, and 19.74 ± 21.80 mcg/day, respectively. Mean PSQI score was 6.15 ± 3.39, where higher scores indicated worse sleep quality, and mean EPDS score was 5.84 ± 4.77, where higher scores indicated increased severity of depressive symptoms. Tryptophan intake was inversely associated with EPDS scores (b = −15.23, 95%CI: −26.75, −3.72). The associations between DHA, vitamin D, and depression were not significant. The selected nutrients were not associated with PSQI scores. Conclusions In this study, higher tryptophan intake was associated with lower depressive symptoms among pregnant women during the second trimester. Additional research on the relationship between tryptophan intake and maternal mental health during pregnancy is warranted. Funding Sources NIH, Mae Stone Goode Foundation, Wynne Family Foundation.


2020 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated poor sleep quality (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.


2020 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated poor sleep quality (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.


Gerontology ◽  
2021 ◽  
pp. 1-11
Author(s):  
Ji Hee Kim ◽  
Joon Ho Song ◽  
Jee Hye Wee ◽  
Jung Woo Lee ◽  
Hyo Geun Choi

<b><i>Background:</i></b> Identifying the risk factors for falls among the elderly population is arguably one of the most imperative public health issues in the current aging society. <b><i>Objectives:</i></b> This study aimed to determine the associations between depressive symptoms, subjective cognitive decline (SCD), and poor subjective sleep quality and the risk of slips/falls in a Korean older population. <b><i>Methods:</i></b> This cross-sectional study involved 228,340 elderly individuals living in Korea. Measurements included self-reported depressive symptoms, SCD, and self-reported sleep quality. The risk of slips/falls was dichotomized depending on whether slips/falls had occurred during the past year, and the associations between different risk factors and slips/falls were explored. Multiple logistic regression was used to obtain the odds ratios (ORs) and 95% confidence intervals (CIs). Complex sampling methods were used to estimate the weighted value of each participant. <b><i>Results:</i></b> The risk of slips/falls was significantly associated with high levels of depressive symptoms (adjusted OR 1.06, 95% CI: 1.05–1.07) and SCD (adjusted OR 1.33, 95% CI: 1.19–1.50). Regarding each sleep quality component, the adjusted ORs for slips/falls were 1.85 for very poor sleep quality, 1.49 for long sleep latency, 1.04 for &#x3c;5 h of sleep duration, 1.32 for low sleep efficiency, 2.78 for high sleep disturbance, 1.52 for the use of sleep medication ≥3 times a week, and 1.82 for high daytime dysfunction due to sleep problems compared to the respective good sleep conditions. <b><i>Conclusions:</i></b> Our results demonstrated that depressive symptoms, SCD, and poor subjective sleep quality are independent factors affecting the occurrence of slips/falls. Thus, efforts to manage depressive symptoms and cognitive decline early and to improve sleep quality can be an alternative strategy to decrease the likelihood of falls.


2012 ◽  
Vol 24 (11) ◽  
pp. 1827-1835 ◽  
Author(s):  
Chiara Cupidi ◽  
Sabrina Realmuto ◽  
Gianluca Lo Coco ◽  
Antonio Cinturino ◽  
Simona Talamanca ◽  
...  

ABSTRACTBackground: Knowledge about sleep complaints of caregivers of patients with Alzheimer's disease (AD) and Parkinson's disease (PD) is limited, and we lack information about the relationship between caregivers’ sleep problems and their quality of life (QoL).Methods: We evaluated subjective sleep quality and its relationship to QoL in a group of 80 caregivers of patients with AD (ADCG, n = 40) and PD (PDCG, n = 40), and in 150 controls. Information about night-time complaints was collected using the Pittsburgh Sleep Quality Index (PSQI). QoL was measured using the McGill QoL Questionnaire.Results: Eighteen ADCG (45%), 22 PDCG (55%), and 45 (30%) controls reported poor sleep quality. Mean global PSQI score of PDCG (6.25 ± 3.9) was not significantly different from that of ADCG (5.8 ± 3.5; p = 0.67). However, both PDCG and ADCG scored significantly higher than control group (4.3 ± 3.1; p < 0.01). ADCG frequently reported difficulties falling asleep (72.5%) and disturbed sleep (100%). PDCG reported reduced subjective sleep quality (80%) and increased sleep disturbances (100%). Poor sleep quality was associated with depressive symptoms and correlated with QoL in caregivers of both groups, particularly the psychological symptoms domain.Conclusions: Among caregivers of patients with AD and PD, poor sleep quality is frequent and significantly linked to QoL and depressive symptoms. Identifying the nature of sleep disturbances not only in patients but also in their caregivers is important as appropriate treatment may lead to a better management of the needs of families coping with these patients.


2016 ◽  
Vol 101 (10) ◽  
pp. 3847-3855 ◽  
Author(s):  
Hadine Joffe ◽  
Sybil L. Crawford ◽  
Marlene P. Freeman ◽  
David P. White ◽  
Matt T. Bianchi ◽  
...  

Context: Women are at increased risk for mood disturbance during the menopause transition. Hot flashes (HFs), sleep disruption, and fluctuating estradiol levels correlate with menopause-associated depression but co-occur, making cause and effect relationships difficult to disentangle. Objective: Using a GnRH agonist (GnRHa) experimental model, we investigated whether depressive symptoms are associated with HFs and/or are explained by concomitant sleep fragmentation in the absence of estradiol fluctuation. Design and Intervention: Depressive symptoms, objective polysomnographic sleep parameters, subjective sleep quality, serum estradiol, and HFs were assessed before and 4 weeks after open-label depot GnRHa (leuprolide 3.75-mg) administration. Setting: Academic medical center. Participants: Twenty-nine healthy nondepressed premenopausal volunteers (mean age, 27.3 years). Results: Serum estradiol was rapidly and uniformly suppressed. HFs developed in 69% of the subjects. On univariate analysis, worsening of mood was predicted by increases in time in light sleep (stage N1), number of transitions to wake, non-REM arousals, subjective sleep quality, and reductions in perceived sleep efficiency (all P &lt; .045), as well as the number of nighttime (P = .006), but not daytime (P = .28), HFs reported. In adjusted models, the number of nighttime HFs reported, increases in non-REM arousals, time in stage N1, transitions to wake, and reduced sleep quality remained significant predictors of mood deterioration (P ≤ .05). Conclusions: Depressive symptoms emerged after estradiol withdrawal in association with objectively and subjectively measured sleep disturbance and the number of nighttime, but not daytime, HFs reported. Results suggest that sleep disruption and perceived nighttime HFs both contribute to vulnerability to menopause-associated depressive symptoms in hypoestrogenic women.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A387-A387
Author(s):  
S N Price ◽  
J I Trejo ◽  
L M Halaby ◽  
D Guzman ◽  
Y Liu ◽  
...  

Abstract Introduction Diagnoses of cancer and depression are independent predictors of poor sleep, but less is known about subjective sleep quality among patients with both of these potential risk factors or about recommendations made by physicians for improving sleep among this population. This study examines correlates of poor subjective sleep quality and sleep recommendations received by patients with cancer enrolled in the Collaborative Oncology Project to Enhance Depression Care (COPE-D), a collaborative care intervention to treat depression among patients with cancer. Methods Participants were 74 adult cancer survivors. Demographic and clinical characteristics, subjective sleep quality, and provider sleep recommendations were obtained by patient self-report prior to intervention. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI), general health status was measured using the PROMIS Global-10, and depressive symptoms were measured using the PHQ-9. Results 81% of patients reported significantly poor sleep quality (PSQI global scores &gt;8) and 75.3% reported poor sleep efficiency (&lt;85%). The strongest correlates of poor sleep quality were worse global mental (r=-.431, p&lt;.01) and physical health (r=-.40, p=&lt;.01). 63% reported pain interference with sleep at least once per week. Cancer type and stage, current cancer treatment, and depressive symptoms were not significantly associated with poor sleep quality (p’s&gt;.05). 12% of those reporting sleep disturbances since their cancer diagnosis had not discussed these problems with a medical provider. Among those who talked to their provider, 41.8% reported receiving sleep hygiene recommendations, 40.5% anti-depressants, 14.9% sedative-hypnotic medication (e.g. zolpidem, benzodiazepines), 10.8% cognitive behavioral therapy, 9.6% antihistamines, 6.8% melatonin, and 4.1% were recommended meditation or hypnosis. Conclusion Cancer patients seeking treatment for depression report very high rates of poor subjective sleep quality, which was most strongly associated with global mental and physical health. Improved screening and patient-provider communication about sleep may be especially beneficial for this at-risk population. Support Merck Foundation Alliance to Advance Patient-Centered Cancer Care


2021 ◽  
Author(s):  
Nadyanna M. Majeed ◽  
Verity Y. Q. Lua ◽  
Jun Sen Chong ◽  
Zoey Lew ◽  
Andree Hartanto

Previous research has found that young adults exhibit patterns of poor sleep, and that poor sleep is associated with a host of negative psychological consequences. One potential intervention to improve sleep quality is listening to music at bedtime. While there exist previous works investigating the efficacy of listening to music as a form of sleep aid, these works have been hindered by statistically weak designs, a lack of systematic investigation of critical characteristics of music which may affect its efficacy, and limited generalizability. In light of the limitations in the existing literature, a 15-day randomized cross-over trial was carried out with 62 young adults. Participants completed five nights of bedtime listening to each condition (happy music vs. sad music vs. pink noise, which acted as an active control condition) over three weeks. Upon awakening each morning, participants rated their subjective sleep quality, current stress, positive and negative affective states, and current life satisfaction. Frequentist and Bayesian multilevel modeling revealed that happy and sad music was both beneficial for subjective sleep quality and next-morning well-being, compared to the pink noise condition; potential nuances are discussed. The current study bears potential practical applications for healthcare professionals and lay individuals.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A312-A312
Author(s):  
S Tsai ◽  
P Lee ◽  
C Gordon ◽  
E Cayanan ◽  
C Lee

Abstract Introduction Sleep disturbances are one of the most frequent complaints identified during routine prenatal care visits. Sleep and mood disturbances are often intertwined, and depression in particular is a leading cause of disability and disease burden worldwide. The purpose of this study was to examine the predictive association of objective actigraphic and subjective sleep disturbances with depressive symptoms in pregnant women. Methods We recruited 204 first-trimester pregnant women from a large university-affiliated hospital. They provided baseline socio-demographic and health information, wore a wrist actigraph for 7 days, and completed the Pittsburgh Sleep Quality Index and Center for Epidemiologic Studies - Depression Scale and repeated this again in the second and third trimesters. Each data collection was scheduled at least 8 weeks apart. Unadjusted and multivariable adjusted odds ratios with 95% confidence intervals were used to evaluate sleep disturbances at 1st trimester and risk of high depressive symptoms at follow-up. Results A total of 121 (59.3%) women had actigraphic sleep efficiency of &lt; 85% and 92 (45.1%) had Pittsburgh Sleep Quality Index global scores &gt; 5 indicative of poor sleep quality. In multivariable adjusted models, 1st trimester objectively measured sleep efficiency &lt; 85% was associated with 2.65-, 3.86-, and 5.27-fold increased odds having risk of high depressive symptoms at 2nd trimester, 3rd trimester, and both 2nd and 3rd trimesters, respectively. No subjective sleep disturbance variables were significantly associated with risk of high depressive symptoms in multivariate adjusted models. Conclusion Objectively assessed poor sleep efficiency in the 1st trimester plays a crucial role in the development of both elevated and persistent high depressive symptoms in pregnancy. Future studies using objective sleep measurements and clinical diagnostic interviews are warranted to examine whether early interventions to improve sleep may help reduce high depressive symptom risk and lower depression rates in women during pregnancy. Support This study was funded by the Ministry of Science and Technology, Taiwan (MOST-101-2314-B-002-049-MY3).


SLEEP ◽  
2021 ◽  
Author(s):  
Lisa M Christian ◽  
Shannon Webber ◽  
Shannon Gillespie ◽  
Anna M Strahm ◽  
Jonathan Schaffir ◽  
...  

Abstract Study Objectives Delivery prior to full term affects 37% of US births, including ~400,000 preterm births (&lt;37 weeks) and &gt;1,000,000 early term births (37-38 weeks). Approximately 70% of cases of shortened gestation are spontaneous - without medically-indicated cause. Elucidation of modifiable behavioral factors would have considerable clinical impact. Methods This study examined the role of depressive symptoms and sleep quality in predicting the odds of spontaneous shortened gestation among 317 women (135 Black, 182 White) who completed psychosocial assessment in mid-pregnancy. Results Adjusting for key covariates, Black women had 1.89 times higher odds of spontaneous shortened gestation compared to White women (OR (95% CI) = 1.89 (1.01, 3.53), p=0.046). Women who reported only poor subjective sleep quality (PSQI &gt; 6) or only elevated depressive symptoms (CES-D ≥ 16) exhibited no statistically significant differences in odds of spontaneous shortened gestation compared to those with neither risk factor. However, women with comorbid poor sleep and depressive symptoms exhibited markedly higher odds of spontaneous shortened gestation than those with neither risk factor [39.2% versus 15.7%, [OR (95% CI) = 2.69 (1.27, 5.70), p = 0.01]. A higher proportion of Black women met criteria for both risk factors (23% of Black women versus 11% of White women; p=0.004), with a lower proportion experiencing neither risk factor (40.7% of Black versus 64.3% of White women; p &lt; 0.001). Conclusions Additive effects of poor subjective sleep quality and depressive symptoms were observed with markedly higher odds of spontaneous shortened gestation among women with both risk factors. Racial inequities in rates of comorbid exposure corresponded with inequities in shortened gestation. Future empirical studies and intervention efforts should consider the interactive effects of these commonly co-morbid exposures.


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