161 Sleep, Emotion, and Physical Activity in Older Adults Who Engage in Resonant Breathing Biofeedback

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A65-A66
Author(s):  
Noor Nasseri ◽  
Hanna Lagman ◽  
Katharine Simon ◽  
Jing Zhang ◽  
Sara Mednick
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Emotion Dysregulation ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Emotional Wellbeing ◽  
Sleep Habits ◽  
Coherence Level

Abstract Introduction Resonant breathing (RB) biofeedback increases rhythmic heart-respiration coherence patterns and has been associated with improved emotional wellbeing, physiological health, and sleep quality (Lehrer et al, 2000). Sleep quality declines with age, which leads to emotion dysregulation, cognitive impairment, and poor physical health (Crowley, 2011). However, limited research has investigated the sleep characteristics of older adults who practice RB-biofeedback. Therefore, our study investigates this population’s sleep characteristics, emotional stability, and physical health. Methods Thirty-one healthy participants (24 Female; M=54.68 years, SD=9.74) who self-identified as RB-biofeedback experts completed a series of online questionnaires assessing history, frequency, and duration of practice, sleep (habits and quality), physical activity (frequency, duration, and intensity), and mood (depression symptoms). They also reported their typical coherence level achieved, which is a numerical composite value associated with the heart rhythm’s uniform sine-wave pattern at approximately .1HZ (McCraty et al., 2010). Results Using bivariate correlations, we found that poor sleep quality was positively correlated with stress (r = .954, p = .001), poor sleep hygiene (r = .591, p < .001), severe sleepiness (r = .518, p = .003), emotion dysregulation (r = .511, p = .004), depressive symptoms (r = .089, p < .001), and negatively correlated with subjective happiness (r = .511, p < .003). Severe sleepiness was negatively correlated with older adults’ enhanced physical fitness (r = .612, p < .001), and poor sleep hygiene was positively correlated with depressive symptoms (r = .503, p = .004). We found no significant correlations between coherence level, mood, physical activity, or sleep measures. Conclusion We found significant associations between healthy sleep habits and emotional wellbeing. Those with better sleep quality and more positive sleep habits also had fewer depression symptoms. Moreover, those categorized as more athletic reported lower levels of severe sleepiness, suggesting that physical activity may be a protective factor for sleep in older adults. We did not find a relation between coherence level and sleep, or physical activity. These null results may be due to the high expertise level of the subject sample. Future studies should compare results to older adults who do not practice RB-biofeedback. Support (if any) Undergraduate Research Opportunity Program

scholarly journals THE MODERATING EFFECT OF RAISING ONE’S GRANDCHILDREN ON THE RELATION BETWEEN SLEEP AND DEPRESSION

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S678-S678
Author(s):  
Melanie Stearns ◽  
Danielle K Nadorff
Keyword(s):  
Older Adults ◽  
Risk Factor ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Depression Scale ◽  
Poor Sleep ◽  
Older Individuals ◽  
Poor Sleep Quality ◽  
Custodial Grandparents

Abstract Recent evidence has shown that poor quality sleep is associated with depression, particularly among older individuals (Bao et al., 2017; Nadorff, Fiske, Sperry, & Petts, 2012). Moreover, given the high prevalence of depressive symptoms among older adults, it is important to identify possible risk factors of poor sleep quality. One possible risk factor is being a custodial grandparent (raising one’s grandchildren), as increased caregiving responsivities are associated with increased depressive symptoms (Brand-Winterstein, Edelstein, & Bachner, 2018). Based upon these previous findings, the current study examines the effect of custodial status on the relation between sleep quality and depressive symptoms. The sample (N = 466) was a subset of individuals recruited in the second wave of the MIDUS biomarkers project completed in 2009 who answered the sleep, caregiving, and depressive symptoms variables of interest. Measures included the Center for Epidemiological Studies Depression Scale (CESD), the Pittsburgh Sleep Quality Index (PSQI), and a question regarding custodial grandparent status. The current study aimed to examine whether poor sleep quality might serve as a risk factor for experiencing depressive symptoms and how custodial grandparents might differ from other older adults. Moderation analyses were conducted using SPSS’ Process macro on the sample. The interaction between global sleep quality and custodial grandparent status was significant in predicting depressive symptoms, t (1, 465) = 3.90, p = .04, such that custodial grandparents reported a stronger positive correlation between greater global sleep problems and depressive symptoms than non-custodial grandparents. Implications, future directions, and limitations are discussed.

P1-653: UNDERSTANDING THE RELATIONSHIP BETWEEN PHYSICAL ACTIVITY, DEPRESSIVE SYMPTOMS AND SLEEP QUALITY IN OLDER ADULTS AT-RISK FOR DEMENTIA

2006 ◽  
Vol 14 (7S_Part_10) ◽  
pp. P592-P592
Author(s):  
Danit Saks ◽  
Sharon L. Naismith ◽  
Haley LaMonica ◽  
Loren Mowszowski ◽  
Jonathon Pye ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
At Risk ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
The Relationship

scholarly journals Exercise participation : sleep quality in Thai older adults

2016 ◽  
Author(s):  
◽  
Chantra Promnoi
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Logistic Regression ◽  
Social Network ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Social Connectedness ◽  
Health Conditions ◽  
Physical And Mental Health ◽  
Exercise Participation

Physical activity and social interaction may be related to sleep quality in older adults. This study aimed to explore differences in sleep quality among older adults who performed exercise at elder clubs, older adults who exercised at home, and older adults who did not exercise, as well as identify factors associated with sleep quality in this population. The Symptom Management Model was adopted to guide this study. Using a cross-sectional correlational design, three groups of participants (60 persons per group) who met inclusion criteria were recruited from senior clubs and communities from HatYai District, Songkha Province, Thailand. The Kruskal-Wallis test was used to analyze the differences in sleep quality as measured by the Pittsburg Sleep Quality Index and the Insomnia Severity Index among three groups. Logistic regression was used to estimate the extent to which health conditions, pain, depressive symptoms, social connectedness (social network and social support), and self-reported physical activity predicted sleep quality. No significant differences in sleep quality scores were found among the three groups, although the non-exercise group reported scores indicating poorer sleep quality, compared to the other two groups. Sleep quality was associated with number of health conditions, pain level, depressive symptoms, social connectedness (social network), and physical activity. The results of the logistic regression analysis showed that pain and depressive symptoms were significant predictors of sleep quality when controlling for age, gender, education, and marital status. The findings suggest that exercising can positively influence sleep. Healthcare providers should evaluate sleep quality in older adults within the context of their physical and mental health, as well as their social connections.

scholarly journals Sleep Quality and Psychological Status in a Group of Italian Prisoners

2020 ◽  
Vol 17 (12) ◽  
pp. 4224
Author(s):  
Giulia D’Aurizio ◽  
Angelica Caldarola ◽  
Marianna Ninniri ◽  
Marialucia Avvantaggiato ◽  
Giuseppe Curcio
Keyword(s):  
Sleep Quality ◽  
Psychological Status ◽  
Anxiety State ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Stressful Situation ◽  
Sleep Habits ◽  
Poor Sleep Quality ◽  
Medium Security ◽  
Insomnia Complaints

Prison could be considered a prolonged stressful situation that can trigger not only a dysregulation of sleep patterns but can also bring out psychiatric illness, such as anxiety and depression symptoms. Our study is aimed at exploring sleep quality and sleep habits in an Italian prison ward with three different security levels, and to attempt to clarify how anxiety state and the total time spent in prison can moderate insomnia complaints. There were 129 participants divided into three groups who enrolled in this study: 50 were in the medium-security prison ward (Group 1), 58 were in the high-security prison ward (Group 2) and 21 were in the medium-security following a protocol of detention with reduced custodial measures (Group 3). All participants filled in a set of questionnaires that included the Beck Depression Inventory (BDI-2), the State-Trait Anxiety Inventory (STAI), the Pittsburgh Sleep Quality Index (PSQI), and the Insomnia Severity Index (ISI). Based on their responses, we observed that all participants showed poor sleep quality and insomnia, mild to moderate depressive symptoms that tended to a higher severity in Groups 1 and 3, and the presence of clinically significant anxiety symptoms, mainly in Groups 1 and 3. Our study shows that increased anxiety state-level and the presence of mood alteration corresponds to an increase in both poor sleep quality and, more specifically, insomnia complaints. Finally, we propose that TiP (total time in prison) could have an interesting and stabilizing paradox-function on anxiety state and insomnia.

scholarly journals Depressive symptoms, sleep patterns, and physical activity in adolescents with narcolepsy

SLEEP ◽  
2019 ◽  
Vol 42 (8) ◽  
Author(s):  
Arpita Parmar ◽  
E Ann Yeh ◽  
Daphne J Korczak ◽  
Shelly K Weiss ◽  
Zihang Lu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Tertiary Care ◽  
Care Facility ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Tertiary Care Facility

AbstractStudy ObjectivesTo evaluate the association between depressive symptoms, sleep patterns (duration and quality), excessive daytime sleepiness (EDS), and physical activity (PA) in adolescents with narcolepsy.MethodsThis cross-sectional study included adolescents (ages 10–18 years) with narcolepsy attending a tertiary care facility (The Hospital for Sick Children, Toronto, Canada). Adolescents with narcolepsy completed questionnaires evaluating depressive symptoms (Children’s Depression Inventory-2nd edition [CDI-2]), sleep quality (Pittsburgh Sleep Quality Index), EDS (Epworth Sleepiness Scale), and PA (Godin Leisure-Time Exercise Questionnaire). Wrist-based actigraphy was worn by adolescents for 1 week to measure total sleep time (over 24 hr) and sleep efficiency percentage.ResultsThirty adolescents with narcolepsy (mean age = 13.8 ± 2.2 years, 76.7% male) participated. In this cohort of adolescents with narcolepsy, 23.3% had CDI-2 total scores in the elevated range. Greater CDI-2 total scores were associated with poor sleep quality (ρ = 0.571; p = 0.02), EDS (ρ = 0.360; p = 0.05), and lower self-reported PA levels (ρ = −0.512; p < 0.01).ConclusionsAdolescents with narcolepsy report experiencing depressive symptoms, which are associated with poor sleep quality, EDS, and low PA levels. Strategies to improve nocturnal sleep quality and symptoms of EDS as well as promoting increased PA levels in adolescents with narcolepsy may provide an opportunity to improve depressive symptoms in this population. Multidisciplinary care with mental health and sleep specialists for adolescents with narcolepsy is needed.

160 Underlying Factors Contributing to Sleep Health Among Middle-aged and Older Adults

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A65-A65
Author(s):  
Rebecca Lorenz ◽  
Varun Chandola ◽  
Samantha Auerbach ◽  
Heather Orom ◽  
Chin-Shang Li ◽  
...  
Keyword(s):  
Physical Activity ◽  
Machine Learning ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Implementation Science ◽  
Poor Sleep ◽  
Middle Aged ◽  
Sleep Health ◽  
Sampling Procedures ◽  
The Impact

Abstract Introduction Although poor sleep is not inherent with aging, an estimated 50-70 million adults in the US have insufficient sleep. Sleep duration is increasingly recognized as incomplete and insufficient. Instead, sleep health (SH), a multidimensional concept describing sleep/wake patterns that promote well-being has been shown to better reflect how sleep impacts the individual. Therefore, focusing on the underlying factors contributing to sleep health may provide the opportunity to develop interventions to improve sleep health in middle-age and older adults. Methods Data from the 2014 wave of the Health and Retirement Study (HRS) were used. Sample size was restricted to those who completed an additional questionnaire containing sleep variables. A derivation of the SH composite was constructed using eight selected sleep variables from the HRS data based on the five dimensions of sleep: Satisfaction, Alertness, Timing, Efficiency, and Duration. Total score ranged from 0-100, with higher scores indicating better SH. Weighting variables were based on complex sampling procedures and provided by HRS. Machine learning-based framework was used to identify determinants for predicting SH using twenty-six variables representing individual health and socio-demographics. Penalized linear regression with elastic net penalty was used to study the impact of individual predictors on SH. Results Our sample included 5,163 adults with a mean age of 67.8 years (SD=9.9; range 50-98 years). The majority were female (59%), white (78%), and married (61%). SH score ranged from 27-61 (mean=50; SD=6.7). Loneliness (coefficient=-1.92), depressive symptoms (coefficient=-1.28), and physical activity (coefficient=1.31) were identified as the strongest predictors of SH. Self-reported health status (coefficient=-1.11), daily pain (coefficient=-0.65), being middle-aged (coefficient=-0.26), and discrimination (coefficient=-0.23) were also significant predictors in this model. Conclusion Our study identified key predictors of SH among middle-aged and older adults using a novel approach of Machine Learning. Improving SH is a concrete target for health promotion through clinical interventions tailored towards increasing physical activity and reducing loneliness and depressive symptoms among middle-aged adults. Support (if any) This study was supported by National Heart, Lung, and Blood Institute (NHLBI) UB Clinical Scholar Program in Implementation Science to Achieve Triple Aims-NIH K12 Faculty Scholar Program in Implementation Science

scholarly journals Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students

2022 ◽  
Vol 12 ◽  
Author(s):  
Xiansheng Guo ◽  
Tiehong Su ◽  
Haoran Xiao ◽  
Rong Xiao ◽  
Zhongju Xiao
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Correlation Analysis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
The Relationship

There have been numerous studies on the relationship between sleep and depression, as well as the relationship between sleep and depression, and heart rate variability (HRV), respectively. Even so, few studies have combined 24-h HRV analysis to study sleep quality and depressive symptoms. The purpose of this cross-sectional study was to investigate the relationship between depressed symptoms, sleep quality, and 24-h HRV in medical students. The particiants were all students at a medical university in Guangdong province, China. A total of 74 college students participated. They were asked to complete a questionnaire that included the Pittsburgh Sleep Quality Index (PSQI), the Beck Depression Inventory-II (BDI-II), the Positive and Negative Affect Scale (PANAS), and 24-h ECG monitoring. The results showed that 41.7% of the medical students had poor sleep quality, with higher levels of depressive symptoms and more negative emotions, and there was no difference in 24-h HRV indices between the low PSQI group and the high one. Correlation analysis showed that there was a significant relationship between sleep quality and depressive symptoms (r = 0.617), but the relationship between 24-h HRV indices and PSQI global scores, BDI scores were not significant. However, the correlation analysis of PSQI components and 24-h HRV showed that sleep disturbance was significantly negatively correlated with SDNN and LF in waking period (r = −0.285, −0.235), and with SDNN in sleeping period (r = −0.317). In general, the sleep disturbance in PSQI components can sensitively reflect the relationship between sleep quality and 24-h HRV of medical students. Individuals with higher sleep disturance may have lower SDNN during awake period and bedtime period, and lower LF in awake period. Twenty-four hour HRV has certain application value in clinical sleep quality monitoring, and its sensitivity and specificity in clinical application and daily life are still worth further investigation.

Serum Kynurenines Correlate With Depressive Symptoms and Disability in Poststroke Patients: A Cross-sectional Study

2020 ◽  
Vol 34 (10) ◽  
pp. 936-944 ◽  
Author(s):  
Paul Carrillo-Mora ◽  
Verónica Pérez-De la Cruz ◽  
Berenice Estrada-Cortés ◽  
Paola Toussaint-González ◽  
José Antonio Martínez-Cortéz ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Barthel Index ◽  
Depression Scale ◽  
Functional Independence ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Potential Marker

Background Poststroke depression (PSD) is related to adverse functional and cognitive prognosis in stroke patients. The participation of kynurenine pathway metabolites in depression has been previously proposed; however, there are few studies on its role in PSD and disability in stroke. Objective To investigate if there is a correlation between serum kynurenines levels with poststroke anxiety and depression symptoms and disability scales. Methods A cross-sectional case-control study was conducted in patients with first stroke, of >1 month and <1 year of evolution, with no history of previous psychiatric or neurological disorders; the Hospital Anxiety and Depression Scale (HADS), Montreal Cognitive Assessment (MoCA), functional evaluations (Barthel index, Functional Independence Measure [FIM]) were applied and serum kynurenines (Kyns) were determined. Results Sixty patients were included; significant depressive symptoms were found in 63% of the cases; a significant and positive correlation was obtained between levels of 3-hydroxykynurenine (3-HK) with HADS-T ( r = 0.30, P = .025) and HADS-D ( r = 0.28, P = .039). Depressed patients showed significantly higher levels of 3HK ( P = .048) and KYNA ( P = .0271) than nondepressed patients; the 3HK levels were inversely correlated with functional scales: Barthel index ( r = −0.31, P = .02), FIM ( r = −0.40, P = .01); in addition, serum 3HK levels were significantly higher in patients with poor sleep quality ( P = .0190). Conclusions Serum Kyns show correlation with the presence and severity of depressive symptoms and with the disability and sleep quality. Kyns may be a potential marker of depression risk and disability in stroke in future.

scholarly journals Heart Rate Variability, Sleep Quality, and Depression in the Context of Chronic Stress

2020 ◽  
Author(s):  
Chelsea da Estrela ◽  
Jennifer McGrath ◽  
Linda Booij ◽  
Jean-Philippe Gouin
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Chronic Stress ◽  
Sleep Disturbances ◽  
Developmental Disorders ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Potential Biomarker

Abstract Background Disrupted sleep quality is one of the proposed mechanisms through which chronic stress may lead to depression. However, there exist significant individual differences in sleep reactivity, which is the extent to which one experiences sleep disturbances in response to stress. Purpose The aim of the current study was to investigate whether low high-frequency heart rate variability (HRV), as a psychophysiological marker of poor emotional and physiological arousal regulation, predicts stress-related sleep disturbances associated with greater risk of depression symptoms. Methods Using a chronic caregiving stress model, 125 mothers of adolescents with developmental disorders and 97 mothers of typically developing adolescents had their resting HRV and HRV reactivity recorded and completed a measure of depressive symptoms, as well as a 7 day sleep diary to assess their sleep quality. A moderated mediation model tested whether sleep quality mediated the association between chronic stress exposure and depressive symptoms and whether HRV moderated this mediation. Results After controlling for participant age, body mass index, ethnicity, socioeconomic status, and employment status, poor sleep quality mediated the association between chronic stress and depressive symptoms. Resting HRV moderated this indirect effect such that individuals with lower HRV were more likely to report poorer sleep quality in the context of chronic stressor exposure, which, in turn, was related to greater depressive symptoms. Conclusions Lower HRV, a potential biomarker of increased sleep reactivity to stress, is associated with greater vulnerability to stress-related sleep disturbances, which, in turn, increases the risk for elevated depressive symptoms in response to chronic stress.

scholarly journals SLEEP QUALITY AND DEPRESSIVE SYMPTOMS IN LATER-LIFE: CROSS-SECTIONAL EXAMINATION OF COGNITIVE MECHANISMS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S872-S872
Author(s):  
David Brush ◽  
Daniel Paulson ◽  
Manuel Herrera Legon ◽  
Nicholas James ◽  
Jennifer Scheurich ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Inhibitory Control ◽  
Depression Scale ◽  
Later Life ◽  
Community Dwelling ◽  
Mediating Effect ◽  
Poor Sleep ◽  
Community Dwelling Older Adults

Abstract Sleep quality relates to depressive symptom endorsement. The mechanisms relating these variables are not clearly elucidated, though inhibitory control and rumination are believed to play key roles. The current study aims to elucidate the relationship between sleep quality and depressive symptoms by examining the moderated mediating effect of inhibitory control and rumination. The sample included 41 community-dwelling older adults (age 70 and older). Measures included the Pittsburg Sleep Quality Inventory, a Stroop task (inhibitory control), the Ruminative Responses Scale, and the Geriatric Depression Scale. A series of bootstrapped models were employed to test hypotheses using a stepped approach. Poorer sleep quality was associated with higher rumination and depressive symptoms; however, these associations were no longer significant among older adults with higher inhibitory control. The association between sleep quality and depression was fully attenuated by rumination, and inhibitory control significantly moderated the association between sleep quality and rumination in the final model. Among community-dwelling older adults, the association between sleep quality and depression is mediated by rumination, and this effect is mitigated by inhibitory control. As such, these findings suggest that inhibitory control may be a relevant target for intervention in older adults with poor sleep quality, rumination, and depressive symptoms.

Sign in / Sign up

Export Citation Format

Share Document