scholarly journals 0733 Retrospective Pain Reports In OSA Patients: Roles Of Depressive Symptoms, Polysomnographic And Self-report Sleep Measures

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A279-A279
Author(s):  
J A Weingarten ◽  
B Dubrovsky ◽  
J Cunningham ◽  
W Chin ◽  
A Howladar ◽  
...  

Abstract Introduction Exploring the relationship between OSA and pain, some studies showed hyperalgesia, and others, hypoalgesia. It was proposed that apnea-related sleep fragmentation causes hyperalgesia, and hypoxemia, hypoalgesia. However, SpO2 nadir had opposite relationships with pain measures in different studies. A 2018 review of over 1000 studies reported lack of consistent relationship between OSA and pain variables. Further, OSA was shown to relate to depressed mood, which may alter pain perception. Presently, retrospective reports of pain are analyzed as a function of polysomnographic and self-report sleep variables and depressive symptomatology in patients evaluated for OSA. Methods A total of 1,166 patients (923 women, 1136 minorities, 18-97 y.o., age M=53.1±15.2, BMI M=34.4±8.7) undergoing an overnight PSG filled out the Center for Epidemiologic Studies Depression Scale-Revised (CESDR), ISI, PSQI, ESS, and Chronic Pain Grade Scale yielding pain intensity (PI) and functional effect (FE) scores. PI and FE were separately regressed onto age, sex and BMI, followed by PSG and self-report variables meeting p<0.1 criterion. AHI and SpO2nadir were forced into the models. Results Mean AHI=29.6±34.7, range 0-167/hr, 72.3% had AHI≥5. Higher PI related to higher AHI (p=0.005, R2<1%), lower total arousal index (TAI, p=0.006, R2<1%), higher total sleep time (TST, p=0.003, R2<1%), higher PSQI (p<0.001, R2=5%), and higher CESD (p=0.001, R2<1%), without interactions with sex. Higher FE related to higher AHI (p=0.004, R2<1%), lower TAI (p<0.001, R2=1%), higher PSQI (p<0.001, R2=3%, and higher CESD (p<0.001, R2=2%). Sex had a significant interaction only with AHI (p=0.032); the FE-AHI relationship was significant in women (p=0.012), but not in men. Conclusion On retrospective reports of pain in this large sample, higher AHI related to greater pain intensity in both sexes and to greater functional effect in women only. Unexpectedly, higher pain measures were also related to lower TAI and higher TST. Higher depressive symptomatology and subjective sleep disturbance on PSQI were related to greater pain intensity and its functional effect. Only a small portion of the variance in pain measures was accounted for by PSG and self-report variables. Support none

2010 ◽  
Vol 22 (3) ◽  
pp. 437-444 ◽  
Author(s):  
Ying Zhang ◽  
Veronica Chow ◽  
Agnes I. Vitry ◽  
Philip Ryan ◽  
Elizabeth E. Roughead ◽  
...  

ABSTRACTBackground:Depression is one of the leading contributors to the burden of non-fatal diseases in Australia. Although there is an overall increasing trend in antidepressant use, the relationship between use of antidepressants and depressive symptomatology is not clear, particularly in the older population.Methods:Data for this study were obtained from the Australian Longitudinal Study of Ageing (ALSA), a cohort of 2087 people aged over 65 years at baseline. Four waves of home interviews were conducted between 1992 and 2004 to collect information on sociodemographic and health status. Depressive symptoms were measured by the Center for Epidemiologic Studies – Depression Scale. Use of antidepressants was based on self-report, with the interviewer able to check packaging details if available. Longitudinal analysis was performed using logistic generalized estimating equations to detect if there was any trend in the use of antidepressants, adjusting for potential confounding factors.Results:The prevalence of depressive symptoms was 15.2% in 1992 and 15.8% in 2004 (p> 0.05). The prevalence of antidepressant users increased from 6.5% to 10.9% (p< 0.01) over this period. Among people with depressive symptoms, less than 20% were taking antidepressants at any wave. Among people without depressive symptoms, the prevalence of antidepressant use was 5.2% in 1992 and 12.0% in 2004 (p< 0.01). Being female (OR = 1.67, 95%CI: 1.25–2.24), having poor self-perceived health status (OR = 1.17, 95%CI: 1.04–1.32), having physical impairment (OR = 1.48, 95%CI: 1.14–1.91) and having depressive symptoms (OR = 1.62, 95%CI: 1.24–2.13) significantly increased the use of antidepressants, while living in community (OR = 0.51, 95%CI: 0.37–0.71) reduced the risk of antidepressant use.Conclusions:Use of antidepressants increased, while depressive symptoms remained stable, in the ALSA over a 12-year period. Use of antidepressants was low for people with depressive symptoms.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A98-A98
Author(s):  
S Price ◽  
P Chikersal ◽  
A Doryab ◽  
D Villalba ◽  
J Dutcher ◽  
...  

Abstract Introduction Sleep is a critical behavior predicting mental health and depressive symptomatology in young adults.The extant scientific literature generally focuses on self-reported sleep measures over relatively short time frames. Here, we examine whether actigraphy-measured sleep variables early in the academic semester predict depressive symptomatology at the end of the semester among first and second year college students. There is currently debate in the sleep literature about which sleep variables are the most robust predictors of depression among young adults. In this study, we evaluate total sleep time, midpoint sleep time, and sleep variability where variability is defined by the mean-squared successive difference (MSSD) of midpoint sleep as predictors of depression. Methods The sample consisted of 160 first and second year college students at a private American university. The students completed a beginning and end of semester assessment of depressive symptomatology using the Center for Epidemiologic Studies Depression Scale (CES-D), and wore a Fitbit throughout the semester to capture sleep features of interest: total sleep time (TST), midpoint sleep, and midpoint MSSD. Results When controlling for beginning of semester CES-D, early semester (weeks 3–6) midpoint sleep MSSD significantly (p &lt; 0.05) predicted increased end of semester CES-D. These effects were specific to the sleep variability measure (MSSD). Total sleep time and sleep chronotype (i.e. midpoint sleep) were not significant predictors of end of semester depressive symptomatology. Conclusion Early semester sleep window variability among college freshmen, particularly during stressful midterm exams, is a robust risk factor for depression among college students. This work contributes to initial actigraphy studies suggesting that MSSD measures of sleep window variability foster increased mental health risks among young people. This work calls for further investigation to understand possible causal relationships between sleep variability and mental health. Support This work was supported by the Life@CMU project funded by the Carnegie Mellon University Provost’s Office.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A280-A280
Author(s):  
B Dubrovsky ◽  
J A Weingarten ◽  
J Cunningham ◽  
A Howladar ◽  
W Chin ◽  
...  

Abstract Introduction Sleep fragmentation is typical in OSA, which is commonly co-morbid with insomnia and depression. A complex interaction between these conditions may be also gender-dependent. Moreover, self-report measures of sleep quality and insomnia, such as PSQI and ISI, may relate to depression symptoms more than polysomnographic sleep disturbance. The present aim is to ascertain relative contributions of polysomnographic variables and depression symptoms to PSQI and ISI in a large sample of OSA patients. The interaction between depressive symptomatology and gender in their relationships with subjective sleep is also analyzed. Methods A total of 1,166 patients (923 women, 1136 minorities, 18-97 y.o., age M=53.1±15.2, BMI M=34.4±8.7) undergoing an overnight PSG filled out the Center for Epidemiologic Studies Depression Scale-Revised (CESDR), ISI and PSQI. ISI and PSQI were separately regressed onto age, sex and BMI, followed by PSG variables meeting p&lt;0.1 criterion when tested individually, followed by CESDR and CESDR-by-sex interaction. Results Mean AHI=29.6±34.7, range 0-167/hr, 72.3% of patients had AHI≥5. The PSQI final model included total sleep time (TST), sleep efficiency (SEF), WASO, PLM index, CESDR and CESDR-by-sex. Only CESDR and CESDR-by-sex were significant (p&lt;0.001, p=0.023, respectively). Higher CESDR predicted higher PSQI in both sexes (both p&lt;0.001), accounting for a greater portion of PSQI variance in men (R2=39%) than in women (R2=29%). The ISI final model included TST, N3%, REM%, SEF, WASO, total arousal index, AHI, PLM index, CESDR and CESDR-by-sex. Higher ISI related to lower TST (p=0.042, R2&lt;1%), higher REM% (p=0.016, R2&lt;1%), and higher CESDR (p&lt;0.001, R2=42%). CESDR-by-sex was not significant. Conclusion In this large sample, after controlling for demographic variables, PSG parameters had only minimal relationship with self-report insomnia and sleep quality measures. Higher depressive symptomatology was associated with higher subjective sleep disturbance on PSQI and worse insomnia symptoms on ISI in both sexes, accounting for 29-42% of the variance. Support none


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S877-S878
Author(s):  
Manuel Herrera Legon ◽  
Daniel Paulson

Abstract Objective: The vascular depression hypothesis posits that cerebrovascular burden confers risk for late-life depression. Though neuroanatomical correlates of vascular depression (prefrontal white matter hyperintensities) are well established, little is known about cognitive correlates; the identification of which may suggest therapeutic targets. Aims of this study are to examine the hypothesis that the relationship between cerebrovascular burden and depressive symptoms is moderated by brooding, a type of rumination. Method: A sample of 52 community-dwelling, stroke-free, individuals over the age of 70, without history of severe mental illness or dementia completed the Ruminative Responses Scale, and provided self-report (cardiac disease, hypertension, diabetes, high cholesterol) CVB data. The Geriatric Depression Scale was used to assess depressive symptomatology. Results: Results of a bootstrapped model were that self-reported measures of CVB predicted depressive symptomatology. This relationship was significantly moderated by brooding. Among older adults, those who self-reported high CVB and medium to elevated levels of rumination experienced disproportionately more depressive symptomatology. Conclusions: These findings suggest that brooding rumination may be one correlate of the vascular depression syndrome. Future research should examine neuroanatomical correlates of rumination among older adults, and further explore brooding as a therapeutic target for those with late-life depression.


1993 ◽  
Vol 5 (2) ◽  
pp. 147-156 ◽  
Author(s):  
Margaret Gatz ◽  
Boo Johansson ◽  
Nancy Pedersen ◽  
Stig Berg ◽  
Chandra Reynolds

The Center for Epidemiological Studies Depression scale (CES-D) was administered in Swedish to two representative samples, one aged 84 to 90 (mean = 87), the second aged 29 to 95 (mean = 61). There were both linear and quadratic differences with age: the oldest individuals were highest on depressive symptoms, but younger adults were higher than middle-aged. Dimensions or subscales identified by previous studies were generally replicated, including a sadness and depressed mood factor, a psychomotor retardation and loss of energy factor, and a well-being factor (on which items are reverse-scored to indicate depression). The findings support cross-national use of the CES-D to assess self-reported symptoms of depression in adults and older adults.


2013 ◽  
Vol 18 (4) ◽  
pp. 203-206 ◽  
Author(s):  
Matthias J Müller

BACKGROUND: Depressive and pain symptoms often occur concurrently in patients with psychiatric disorders or somatic diseases, but the contribution of pre-existing dysfunctional cognitive schemata to pain perception remains unclear.OBJECTIVE: To investigate the relationship between depression-related attribution styles and perceived pain intensity (PPI) after controllable versus uncontrollable electrical skin stimulation in healthy male individuals.METHODS: Causal attributions for negative events were measured using the attribution style questionnaire (ASQ) on the dimensions internal versus external (INT), global versus specific (GLO) and stable versus unstable (STA) in 50 men (20 to 31 years of age). Additionally, symptoms of anxiety and depression (measured using the Depression Scale) as well as baseline helplessness were assessed. Participants were randomly assigned to receive self-administered (controllable) or experimenter-administered (uncontrollable) painful skin stimuli. PPI was assessed after stress exposure using a visual analogue scale (0 to 100). Relationships between PPI and depression-related cognitions were calculated using correlation and multiple regression analyses.RESULTS: Correlation analyses revealed a moderate correlation between PPI and ASQ-INT scores (r=0.46). Following uncontrollable stress exposure, significantly higher PPI ratings (P=0.001) and a higher correlation between PPI and ASQ-INT (r=0.70) were observed. Multiple regression analysis showed an independent influence of stressor controllability (ß=0.39; P=0.003) and ASQ-INT (ß=0.36; P=0.006) on PPI.DISCUSSION: These findings highlight the interaction of specific depression-related cognitions and stress controllability on pain intensity perception.CONCLUSIONS: The results of the present study may facilitate understanding of the cognitive aspects of pain intensity perception and improve psychological pain therapies focusing on attributions and controllability.


2006 ◽  
Vol 99 (2) ◽  
pp. 407-417 ◽  
Author(s):  
Crawford Moodie ◽  
Frances Finnigan

As most research concerning gambling and depression has been conducted on clinical populations, the present study examined the relationship between gambling and depression across a large sample in Scotland in higher education and the community. A questionnaire-based cluster design involved the distribution of the South Oaks Gambling Screen and the Centre for Epidemiologic Studies Depression Scale mainly to students and staff of higher educational establishments, with small community and gambling samples also included. Thirty-seven colleges and universities across Scotland participated in the research, with a sample of 2,259 people aged sixteen years of age or over ( M = 28.9 yr., SD = 13.4) being obtained. It was found that past-year probable pathological gamblers had significantly higher depression than problem gamblers, nonproblem gamblers, and nongamblers. However, when probable pathological gamblers who had sought treatment were omitted from the analysis, the nontreatment-seeking probable pathological gambling group no longer had significantly higher depression than the problem gambling group. Female problem and probable pathological gamblers had particularly high depressive symptomatology, suggesting comorbid depression may be a prominent feature of problematic female gambling.


2005 ◽  
Vol 39 (4) ◽  
pp. 262-265 ◽  
Author(s):  
Jon J Pfaff ◽  
Jon J Pfaff ◽  
Osvaldo P Almeida

Objective: To determine the characteristics of depressed older patients whose mental health status is detected by their general practitioner (GP). Method: Cross-sectional analytical design of 218 patients scoring above the cut-off (≥ 16) of the Center for Epidemiological Studies – Depression Scale (CES-D), from a sample of 916 consecutive patients aged 60 years or over attending one of 54 randomly selected GPs in Western Australia. Prior to their medical consultation, patients completed a self-report questionnaire, which included questions about depressive symptomatology (CES-D). Following the consultation, general practitioners recorded the patient's presenting complaint(s), medication information, and mental health details on a patient summary sheet. Results: Among these 218 patients, 39.9% (87/218) were correctly classified as depressed by their GP. Detection of depressive symptomatology was associated with patients who acknowledged taking sleeping tablets (OR = 2.6, 95% CI = 1.3–5.4), had CES-D scores indicative of major depression (≥ 22) (OR = 2.8, 95% CI = 1.4–5.6) and were thought to be at risk for suicide (OR = 35.1, 95% CI = 4.5–274.2). Conclusions: While GPs are most apt to detect depression among older patients with prominent mental health symptoms, many patients in this age group silently experience significant depressive symptomatology and miss the opportunity for effective treatment. The routine use of screening tools in primary care is recommended to enhance the detection rate of depression in older adults.


1983 ◽  
Vol 13 (1) ◽  
pp. 121-129 ◽  
Author(s):  
Janet R. Hankin ◽  
Ben Z. Locke

SynopsisA total of 1921 consecutive adult patients seen in the Departments of Internal Medicine and Obstetrics–Gynaecology at a prepaid group practice completed a self-administered depressive symptomatology questionnaire, the Centre for Epidemiologic Studies Depression Scale (CES-D). New health practitioners and physicians, who were not mental health specialists, blindly judged the presence or absence of depressive symptomatology. Twenty-one per cent of the patients suffered from depressive symptoms according to the CES-D, but only 15% of these were judged to be depressed by their physician or new health practitioner. The variables which predict the recognition of depressive symptomatology are discussed.


2019 ◽  
Vol 8 (4) ◽  
pp. 185-189
Author(s):  
Naeem Aslam ◽  
Kashfa Mahreen

Background: Urinary incontinence (UI) is a highly prevalent in elderly people. The aim of the study was to see the relationship between urinary incontinence, depression, and life satisfaction in elderly patients. Moreover, it aimed to investigate the predictive role of UI in geriatric depression and life satisfaction in elderly patients. Methods: This was the cross-sectional study. 83 patients (45% male and 55% female) with a mean age of 69 years (51-102 years) were included in this study. Self-report measures were used. Geriatric Depression Scale, Questionnaire for Urinary Incontinence Diagnosis, and life Satisfaction Scale were used for data collection. Results: Results showed that geriatric depression is significantly positively associated with the UI and negatively associated with the Life satisfaction. UI is also negatively associated with Life satisfaction. In addition, age is significantly positively associated with geriatric depression and UI. Duration of illness is significantly positively associated with depression, whereas, education is negatively associated with depression and UI. Regression analysis showed that UI positively predicted the geriatric depression and negatively predicted the life satisfaction. Conclusion: UI positively predicts Geriatric depression and lowers the life satisfaction. Timely assessment and effective management of UI may reduce the depressive symptomatology and enhance life satisfaction. Understanding the associations between these variables can have substantial implications for both clinical work and research in this area.


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