Pub Date : 2024-05-01Epub Date: 2024-02-16DOI: 10.1097/PSY.0000000000001288
Soomi Lee, Claire E Smith, Meredith L Wallace, Orfeu M Buxton, David M Almeida, Sanjay R Patel, Ross Andel
Objective: To identify distinct sleep health phenotypes in adults, examine transitions in sleep health phenotypes over time, and subsequently relate these to the risk of chronic conditions.
Methods: A national sample of adults from the Midlife in the United States study ( N = 3683) provided longitudinal data with two time points (T1: 2004-2006, T2: 2013-2017). Participants self-reported on sleep health (regularity, satisfaction, alertness, efficiency, duration) and the number and type of chronic conditions. Covariates included age, sex, race, education, education, partnered status, number of children, work status, smoking, alcohol, and physical activity.
Results: Latent transition analysis identified four sleep health phenotypes across both time points: good sleepers, insomnia sleepers, weekend catch-up sleepers, and nappers. Between T1 and T2, the majority (77%) maintained their phenotype, with the nappers and insomnia sleepers being the most stable. In fully adjusted models with good sleepers at both time points as the reference, being an insomnia sleeper at either time point was related to having an increased number of total chronic conditions by 28%-81% at T2, adjusting for T1 conditions. Insomnia sleepers at both time points were at 72%-188% higher risk for cardiovascular disease, diabetes, depression, and frailty. Being a napper at any time point related to increased risks for diabetes, cancer, and frailty. Being a weekend catch-up sleeper was not associated with chronic conditions. Those with lower education and unemployed were more likely to be insomnia sleepers; older adults and retirees were more likely to be nappers.
Conclusion: Findings indicate a heightened risk of chronic conditions involved in suboptimal sleep health phenotypes, mainly insomnia sleepers.
{"title":"Ten-Year Stability of an Insomnia Sleeper Phenotype and Its Association With Chronic Conditions.","authors":"Soomi Lee, Claire E Smith, Meredith L Wallace, Orfeu M Buxton, David M Almeida, Sanjay R Patel, Ross Andel","doi":"10.1097/PSY.0000000000001288","DOIUrl":"10.1097/PSY.0000000000001288","url":null,"abstract":"<p><strong>Objective: </strong>To identify distinct sleep health phenotypes in adults, examine transitions in sleep health phenotypes over time, and subsequently relate these to the risk of chronic conditions.</p><p><strong>Methods: </strong>A national sample of adults from the Midlife in the United States study ( N = 3683) provided longitudinal data with two time points (T1: 2004-2006, T2: 2013-2017). Participants self-reported on sleep health (regularity, satisfaction, alertness, efficiency, duration) and the number and type of chronic conditions. Covariates included age, sex, race, education, education, partnered status, number of children, work status, smoking, alcohol, and physical activity.</p><p><strong>Results: </strong>Latent transition analysis identified four sleep health phenotypes across both time points: good sleepers, insomnia sleepers, weekend catch-up sleepers, and nappers. Between T1 and T2, the majority (77%) maintained their phenotype, with the nappers and insomnia sleepers being the most stable. In fully adjusted models with good sleepers at both time points as the reference, being an insomnia sleeper at either time point was related to having an increased number of total chronic conditions by 28%-81% at T2, adjusting for T1 conditions. Insomnia sleepers at both time points were at 72%-188% higher risk for cardiovascular disease, diabetes, depression, and frailty. Being a napper at any time point related to increased risks for diabetes, cancer, and frailty. Being a weekend catch-up sleeper was not associated with chronic conditions. Those with lower education and unemployed were more likely to be insomnia sleepers; older adults and retirees were more likely to be nappers.</p><p><strong>Conclusion: </strong>Findings indicate a heightened risk of chronic conditions involved in suboptimal sleep health phenotypes, mainly insomnia sleepers.</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11081817/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140022488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2024-02-20DOI: 10.1097/PSY.0000000000001296
Khadijah Abdallah, Shivika Udaipuria, Raphiel Murden, Izraelle I McKinnon, Christy L Erving, Nicole Fields, Reneé Moore, Bianca Booker, Taylor Burey, Charmayne Dunlop-Thomas, Cristina Drenkard, Dayna A Johnson, Viola Vaccarino, S Sam Lim, Tené T Lewis
Objective: To compare dimensions of financial hardship and self-reported sleep quality among Black women with versus without systemic lupus erythematosus (SLE).
Methods: Participants were 402 Black women (50% with validated diagnosis of SLE) living in Georgia between 2017 and 2020. Black women with SLE were recruited from a population-based cohort established in Atlanta, and Black women without SLE were recruited to be of comparable age and from the same geographic areas as SLE women. Financial hardship was measured using three different scales: financial adjustments, financial setbacks, and financial strain. Sleep was assessed continuously using the Pittsburgh Sleep Quality Index (PSQI) scale. Each dimension of financial hardship was analyzed separately in SLE-stratified multivariable linear regression models and adjusted by sociodemographic and health status factors.
Results: Dimensions of financial hardship were similarly distributed across the two groups. Sleep quality was worse in Black women with, versus without, SLE (p < .001). Among Black women with SLE, financial adjustment was positively associated with a 0.40-unit increase in poor sleep quality (95% CI = 0.12-0.67, p = .005). When accounting for cognitive depressive symptoms, financial setbacks and strain were somewhat attenuated for Black women with SLE. Overall, no associations between financial hardships and sleep quality were observed for the women without SLE.
Conclusions: Black women with SLE who experience financial hardships may be more at risk for poor sleep quality than Black women without SLE. Economic interventions targeting this population may help improve their overall health and quality of life.
目的比较患有与未患有系统性红斑狼疮(SLE)的黑人妇女的经济困难程度和自我报告的睡眠质量:参与者为 2017 年至 2020 年间居住在佐治亚州的 402 名黑人女性(其中 50%确诊为系统性红斑狼疮)。患有系统性红斑狼疮的黑人女性是从亚特兰大建立的一个基于人群的队列中招募的,而未患有系统性红斑狼疮的黑人女性则是从与系统性红斑狼疮女性年龄相当、地理位置相同的地区招募的。经济困难采用三种不同的量表进行测量:经济调整、经济挫折和经济压力。使用匹兹堡睡眠质量指数(PSQI)量表对睡眠进行连续评估。在系统性红斑狼疮分层多变量线性回归模型中分别分析了经济困难的各个维度,并根据社会人口学和健康状况因素进行了调整:结果:经济困难的各个维度在两组中的分布相似。患有系统性红斑狼疮的黑人妇女与未患有系统性红斑狼疮的黑人妇女相比,睡眠质量更差(p < .001)。在患有系统性红斑狼疮的黑人女性中,财务调整与睡眠质量差增加 0.40 个单位呈正相关(95% CI = 0.12-0.67, p = .005)。在考虑认知抑郁症状的情况下,患有系统性红斑狼疮的黑人女性的财务挫折和压力有所减轻。总体而言,没有患系统性红斑狼疮的女性在经济困难和睡眠质量之间没有发现任何关联:结论:与没有系统性红斑狼疮的黑人妇女相比,患有系统性红斑狼疮且经济困难的黑人妇女可能更容易出现睡眠质量差的问题。针对这一人群的经济干预措施可能有助于改善她们的整体健康和生活质量。
{"title":"Financial Hardship and Sleep Quality Among Black American Women With and Without Systemic Lupus Erythematosus.","authors":"Khadijah Abdallah, Shivika Udaipuria, Raphiel Murden, Izraelle I McKinnon, Christy L Erving, Nicole Fields, Reneé Moore, Bianca Booker, Taylor Burey, Charmayne Dunlop-Thomas, Cristina Drenkard, Dayna A Johnson, Viola Vaccarino, S Sam Lim, Tené T Lewis","doi":"10.1097/PSY.0000000000001296","DOIUrl":"10.1097/PSY.0000000000001296","url":null,"abstract":"<p><strong>Objective: </strong>To compare dimensions of financial hardship and self-reported sleep quality among Black women with versus without systemic lupus erythematosus (SLE).</p><p><strong>Methods: </strong>Participants were 402 Black women (50% with validated diagnosis of SLE) living in Georgia between 2017 and 2020. Black women with SLE were recruited from a population-based cohort established in Atlanta, and Black women without SLE were recruited to be of comparable age and from the same geographic areas as SLE women. Financial hardship was measured using three different scales: financial adjustments, financial setbacks, and financial strain. Sleep was assessed continuously using the Pittsburgh Sleep Quality Index (PSQI) scale. Each dimension of financial hardship was analyzed separately in SLE-stratified multivariable linear regression models and adjusted by sociodemographic and health status factors.</p><p><strong>Results: </strong>Dimensions of financial hardship were similarly distributed across the two groups. Sleep quality was worse in Black women with, versus without, SLE (p < .001). Among Black women with SLE, financial adjustment was positively associated with a 0.40-unit increase in poor sleep quality (95% CI = 0.12-0.67, p = .005). When accounting for cognitive depressive symptoms, financial setbacks and strain were somewhat attenuated for Black women with SLE. Overall, no associations between financial hardships and sleep quality were observed for the women without SLE.</p><p><strong>Conclusions: </strong>Black women with SLE who experience financial hardships may be more at risk for poor sleep quality than Black women without SLE. Economic interventions targeting this population may help improve their overall health and quality of life.</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11090455/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2024-01-09DOI: 10.1097/PSY.0000000000001281
Addison D Monroe, Stephanie T Judge, Chelsea L Bass, Leslie J Crofford, Suzanne C Segerstrom
Objective: Sleep quality and duration are important for biological restoration and promotion of psychological well-being. Optimism may facilitate or result from sufficient sleep, but questions remain as to directionality. The present study tested how optimism is associated with levels of and variability in sleep quantity and quality in a longitudinal burst design.
Methods: Midlife and older women ( N = 199) reported their sleep quantity and quality in online diaries for a 7-day period, every 3 months for 2 years. Optimism was measured at baseline and end-of-study. Multilevel models tested the effects of optimism on sleep. Linear regression models tested the effect of sleep on optimism.
Results: Baseline optimism was associated with higher sleep quality ( γ = 2.13 [1.16 to 3.11], p < .0001) and lower intraindividual variability (IIV; night-to-night and wave-to-wave) in sleep quantity (night-to-night: γ = -0.07 [-0.13 to -0.005], p = .03; wave-to-wave: b = -0.07 [-0.12 to -0.02], p = .003). In turn, higher average sleep quality (but not quantity) was associated with higher optimism at end-of-study ( b = 0.02 [0.007 to 0.03], p = .002). Variability in sleep was unrelated to optimism.
Conclusions: Optimism may play an important role in maintaining sleep quality and consistency in sleep quantity, perhaps by buffering stress. Similarly, sleep quality may play an important role in maintaining optimism. The cycle whereby optimism and sleep enhance one another could improve physical health and psychological well-being among aging adults.
{"title":"Optimism and Sleep in Aging Women: Bidirectional Relationships.","authors":"Addison D Monroe, Stephanie T Judge, Chelsea L Bass, Leslie J Crofford, Suzanne C Segerstrom","doi":"10.1097/PSY.0000000000001281","DOIUrl":"10.1097/PSY.0000000000001281","url":null,"abstract":"<p><strong>Objective: </strong>Sleep quality and duration are important for biological restoration and promotion of psychological well-being. Optimism may facilitate or result from sufficient sleep, but questions remain as to directionality. The present study tested how optimism is associated with levels of and variability in sleep quantity and quality in a longitudinal burst design.</p><p><strong>Methods: </strong>Midlife and older women ( N = 199) reported their sleep quantity and quality in online diaries for a 7-day period, every 3 months for 2 years. Optimism was measured at baseline and end-of-study. Multilevel models tested the effects of optimism on sleep. Linear regression models tested the effect of sleep on optimism.</p><p><strong>Results: </strong>Baseline optimism was associated with higher sleep quality ( γ = 2.13 [1.16 to 3.11], p < .0001) and lower intraindividual variability (IIV; night-to-night and wave-to-wave) in sleep quantity (night-to-night: γ = -0.07 [-0.13 to -0.005], p = .03; wave-to-wave: b = -0.07 [-0.12 to -0.02], p = .003). In turn, higher average sleep quality (but not quantity) was associated with higher optimism at end-of-study ( b = 0.02 [0.007 to 0.03], p = .002). Variability in sleep was unrelated to optimism.</p><p><strong>Conclusions: </strong>Optimism may play an important role in maintaining sleep quality and consistency in sleep quantity, perhaps by buffering stress. Similarly, sleep quality may play an important role in maintaining optimism. The cycle whereby optimism and sleep enhance one another could improve physical health and psychological well-being among aging adults.</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11081851/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139404215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2024-01-06DOI: 10.1097/PSY.0000000000001279
Talea Cornelius, Donald Edmondson, Marwah Abdalla, Allie Scott, Brandon Fernandez Sedano, David Hiti, Alexandra M Sullivan, Joseph E Schwartz, Ian M Kronish, Ari Shechter
Objective: Sleep disturbance is a "hallmark" symptom of posttraumatic stress disorder (PTSD). Poor sleep (including short sleep) after combat-related trauma can also predict subsequent PTSD. Less is known about the association between sleep duration and PTSD symptoms when PTSD is induced by acute coronary syndrome (ACS). We examined the bidirectional relationship between sleep duration and PTSD symptoms over the year after hospital evaluation for ACS.
Methods: Participants were enrolled in this observational study after emergency department evaluation for ACS. Sleep duration ("During the past month, how many hours of actual sleep did you get at night?") and cardiac event or hospitalization-induced PTSD symptoms (PTSD Checklist) were assessed at 1, 6, and 12 months after hospital discharge. Cross-lagged path analysis was used to model the effects of sleep duration and PTSD symptoms on each other. Covariates included age, sex, race/ethnicity, cardiac severity, baseline depression symptoms, and early acute stress disorder symptoms.
Results: The sample included 1145 participants; 16% screened positive for probable PTSD (PTSD Checklist score ≥33). Mean sleep duration across time points was 6.1 hours. Higher PTSD symptoms predicted shorter sleep duration at the next time point (i.e., 1-6 and 6-12 months; B = -0.14 hours/10-point difference, SE = 0.03, p < .001). Shorter sleep duration was associated with higher PTSD symptoms at the next time point (B = -0.25 points/hour, SE = 0.12, p = .04).
Conclusions: Short sleep duration and PTSD symptoms are mutually reinforcing across the first year after ACS evaluation. Findings suggest that sleep, PTSD symptoms, and their relationship should be considered in the post-ACS period.
{"title":"Prospective Bidirectional Relationship Between Sleep Duration and Posttraumatic Stress Disorder Symptoms After Suspected Acute Coronary Syndrome.","authors":"Talea Cornelius, Donald Edmondson, Marwah Abdalla, Allie Scott, Brandon Fernandez Sedano, David Hiti, Alexandra M Sullivan, Joseph E Schwartz, Ian M Kronish, Ari Shechter","doi":"10.1097/PSY.0000000000001279","DOIUrl":"10.1097/PSY.0000000000001279","url":null,"abstract":"<p><strong>Objective: </strong>Sleep disturbance is a \"hallmark\" symptom of posttraumatic stress disorder (PTSD). Poor sleep (including short sleep) after combat-related trauma can also predict subsequent PTSD. Less is known about the association between sleep duration and PTSD symptoms when PTSD is induced by acute coronary syndrome (ACS). We examined the bidirectional relationship between sleep duration and PTSD symptoms over the year after hospital evaluation for ACS.</p><p><strong>Methods: </strong>Participants were enrolled in this observational study after emergency department evaluation for ACS. Sleep duration (\"During the past month, how many hours of actual sleep did you get at night?\") and cardiac event or hospitalization-induced PTSD symptoms (PTSD Checklist) were assessed at 1, 6, and 12 months after hospital discharge. Cross-lagged path analysis was used to model the effects of sleep duration and PTSD symptoms on each other. Covariates included age, sex, race/ethnicity, cardiac severity, baseline depression symptoms, and early acute stress disorder symptoms.</p><p><strong>Results: </strong>The sample included 1145 participants; 16% screened positive for probable PTSD (PTSD Checklist score ≥33). Mean sleep duration across time points was 6.1 hours. Higher PTSD symptoms predicted shorter sleep duration at the next time point (i.e., 1-6 and 6-12 months; B = -0.14 hours/10-point difference, SE = 0.03, p < .001). Shorter sleep duration was associated with higher PTSD symptoms at the next time point (B = -0.25 points/hour, SE = 0.12, p = .04).</p><p><strong>Conclusions: </strong>Short sleep duration and PTSD symptoms are mutually reinforcing across the first year after ACS evaluation. Findings suggest that sleep, PTSD symptoms, and their relationship should be considered in the post-ACS period.</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11090408/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2024-02-19DOI: 10.1097/PSY.0000000000001291
Kristina D Dickman, Mark C Thomas, Brian N Chin, Thomas W Kamarck
Objective: Evidence suggests a link between positive social relationship perceptions and improved sleep (e.g., quality, efficiency) across the life span. Less work has probed the directionality of these relationships. Here, we report findings from the first study to examine bidirectional between- and within-person associations between loneliness and emotional support with daily life measures of sleep.
Methods: Participants were 389 healthy adults aged 40 to 64 years (61% female) who completed hourly surveys assessing loneliness and perceptions of emotional support over the course of 4 days. Measures of actigraphy-assessed sleep and nightly sleep quality were also assessed for 7 to 10 days.
Results: Individuals with lower average daily loneliness showed higher sleep quality and efficiency than individuals with higher loneliness (r = -0.19, p < .001; r = -0.14, p = .008, respectively), and greater average emotional support was likewise linked with better sleep quality (r = 0.18, p < .001). Controlling for neuroticism attenuated the effects of average loneliness on sleep. Within-person analyses showed unexpected bidirectional effects. Specifically, days in which people felt relatively lonelier were followed by nights with greater sleep efficiency (γ = 1.08, p = .015), and nights when people reported relatively poorer sleep quality were followed by days with greater emotional support (γ = -0.04, p = .013). These unexpected findings are probed in exploratory analyses.
Conclusions: Individuals with higher loneliness and lower emotional support report poorer sleep quality and efficiency, on average. Day-to-day fluctuations in perceptions of social relationships may affect the following night's sleep, and vice versa.
{"title":"Bidirectional Associations Between Loneliness, Emotional Support, and Sleep in Daily Life.","authors":"Kristina D Dickman, Mark C Thomas, Brian N Chin, Thomas W Kamarck","doi":"10.1097/PSY.0000000000001291","DOIUrl":"10.1097/PSY.0000000000001291","url":null,"abstract":"<p><strong>Objective: </strong>Evidence suggests a link between positive social relationship perceptions and improved sleep (e.g., quality, efficiency) across the life span. Less work has probed the directionality of these relationships. Here, we report findings from the first study to examine bidirectional between- and within-person associations between loneliness and emotional support with daily life measures of sleep.</p><p><strong>Methods: </strong>Participants were 389 healthy adults aged 40 to 64 years (61% female) who completed hourly surveys assessing loneliness and perceptions of emotional support over the course of 4 days. Measures of actigraphy-assessed sleep and nightly sleep quality were also assessed for 7 to 10 days.</p><p><strong>Results: </strong>Individuals with lower average daily loneliness showed higher sleep quality and efficiency than individuals with higher loneliness (r = -0.19, p < .001; r = -0.14, p = .008, respectively), and greater average emotional support was likewise linked with better sleep quality (r = 0.18, p < .001). Controlling for neuroticism attenuated the effects of average loneliness on sleep. Within-person analyses showed unexpected bidirectional effects. Specifically, days in which people felt relatively lonelier were followed by nights with greater sleep efficiency (γ = 1.08, p = .015), and nights when people reported relatively poorer sleep quality were followed by days with greater emotional support (γ = -0.04, p = .013). These unexpected findings are probed in exploratory analyses.</p><p><strong>Conclusions: </strong>Individuals with higher loneliness and lower emotional support report poorer sleep quality and efficiency, on average. Day-to-day fluctuations in perceptions of social relationships may affect the following night's sleep, and vice versa.</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11090452/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1097/PSY.0000000000001298
Jihun Woo, H Matthew Lehrer, Doonya Tabibi, Lauren Cebulske, Hirofumi Tanaka, Mary Steinhardt
Objective: Sleep is important for diabetes-related health outcomes. Using a multidimensional sleep health framework, we examined the association of individual sleep health dimensions and a composite sleep health score with hemoglobin A1c (HbA1c) and depressive symptoms among African American adults with type 2 diabetes.
Methods: Participants (N = 257; mean age = 62.5 years) were recruited through local churches. Wrist-worn actigraphy and sleep questionnaire data assessed multidimensional sleep health using the RuSATED framework (regularity, satisfaction, alertness, timing, efficiency, duration). Individual sleep dimensions were dichotomized into poor or good sleep health and summed into a composite score. HbA1c was assessed using the DCA Vantage™ Analyzer or A1CNow® Self Check. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9). Regression models examined the association of individual sleep dimensions and composite sleep health with HbA1c and depressive symptoms.
Results: Higher composite sleep health scores were associated with a lower likelihood of having greater than minimal depressive symptoms (PHQ-9 ≥ 5) (odds ratio [OR] = 0.578, 95% confidence interval [CI] = 0.461-0.725). Several individual sleep dimensions, including irregularity (OR = 1.013, CI = 1.005-1.021), poor satisfaction (OR = 3.130, CI = 2.095-4.678), and lower alertness (OR = 1.866, CI = 1.230-2.833) were associated with a greater likelihood of having depressive symptoms. Neither composite sleep health scores nor individual sleep dimensions were associated with HbA1c.
Conclusions: Better multidimensional sleep health is associated with lower depressive symptoms among African American adults with type 2 diabetes. Longitudinal research is needed to determine the causal association between multidimensional sleep health and depressive symptoms in this population.
{"title":"The Association of Multidimensional Sleep Health With HbA1c and Depressive Symptoms in African American Adults With Type 2 Diabetes.","authors":"Jihun Woo, H Matthew Lehrer, Doonya Tabibi, Lauren Cebulske, Hirofumi Tanaka, Mary Steinhardt","doi":"10.1097/PSY.0000000000001298","DOIUrl":"10.1097/PSY.0000000000001298","url":null,"abstract":"<p><strong>Objective: </strong>Sleep is important for diabetes-related health outcomes. Using a multidimensional sleep health framework, we examined the association of individual sleep health dimensions and a composite sleep health score with hemoglobin A1c (HbA1c) and depressive symptoms among African American adults with type 2 diabetes.</p><p><strong>Methods: </strong>Participants (N = 257; mean age = 62.5 years) were recruited through local churches. Wrist-worn actigraphy and sleep questionnaire data assessed multidimensional sleep health using the RuSATED framework (regularity, satisfaction, alertness, timing, efficiency, duration). Individual sleep dimensions were dichotomized into poor or good sleep health and summed into a composite score. HbA1c was assessed using the DCA Vantage™ Analyzer or A1CNow® Self Check. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9). Regression models examined the association of individual sleep dimensions and composite sleep health with HbA1c and depressive symptoms.</p><p><strong>Results: </strong>Higher composite sleep health scores were associated with a lower likelihood of having greater than minimal depressive symptoms (PHQ-9 ≥ 5) (odds ratio [OR] = 0.578, 95% confidence interval [CI] = 0.461-0.725). Several individual sleep dimensions, including irregularity (OR = 1.013, CI = 1.005-1.021), poor satisfaction (OR = 3.130, CI = 2.095-4.678), and lower alertness (OR = 1.866, CI = 1.230-2.833) were associated with a greater likelihood of having depressive symptoms. Neither composite sleep health scores nor individual sleep dimensions were associated with HbA1c.</p><p><strong>Conclusions: </strong>Better multidimensional sleep health is associated with lower depressive symptoms among African American adults with type 2 diabetes. Longitudinal research is needed to determine the causal association between multidimensional sleep health and depressive symptoms in this population.</p><p><strong>Trial registry: </strong>ClinicalTrials.gov identifier NCT04282395.</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11090412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2023-11-17DOI: 10.1097/PSY.0000000000001269
Roland von Känel, Mary Princip, Sarah A Holzgang, Alexia Rossi, Andreas A Giannopoulos, Ronny R Buechel, Claudia Zuccarella-Hackl, Aju P Pazhenkottil
Objective: Occupational burnout has been associated with an increased risk of coronary heart disease, although the mechanisms involved are elusive. We investigated whether poor global sleep quality is associated with impaired coronary microvascular function in male physicians, a professional group at increased risk of burnout.
Methods: Study participants were 30 male physicians with clinical burnout and 30 controls without burnout defined by the Maslach Burnout Inventory. Global sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI). Endothelium-dependent (cold pressor test) and endothelium-independent (adenosine challenge) coronary microvascular functions were quantified with myocardial perfusion positron emission tomography. In multivariable analyses, the interaction between burnout and the PSQI global score was regressed on measures of coronary microvascular function, adjusting for age, body mass index, physical activity, alcohol consumption, and main effects of burnout and PSQI score.
Results: The prevalence of poor sleepers (PSQI score >5) was 40% in the burnout group and 10% in the control group. Adjusting for covariates, burnout-by-global PSQI score interactions were observed for myocardial blood flow (MBF) at rest ( r partial = -0.30, p = .025), endothelium-dependent coronary flow reserve ( r partial = -0.26, p = .062), MBF response ( r partial = -0.30, p = .028), and hyperemic MBF ( r partial = -0.34, p = .012). The global PSQI score was inversely associated with these MBF measures in the burnout group relative to the control group. No significant interactions emerged for endothelium-independent MBF.
Conclusions: In male physicians with occupational burnout, poor global sleep quality was associated with reduced endothelium-dependent coronary microvascular function, suggesting a mechanism by which burnout may affect cardiovascular health.
目的:职业倦怠与冠心病风险增加有关,但其机制尚不明确。我们调查了男性医生整体睡眠质量差是否与冠状动脉微血管功能受损有关,这是一个职业群体,倦怠风险增加。方法:研究对象为30名有临床职业倦怠的男性医生和30名没有职业倦怠的对照组(由Maslach职业倦怠量表定义)。采用匹兹堡睡眠质量指数(PSQI)测量全球睡眠质量。心肌灌注正电子发射断层扫描定量检测内皮依赖性(冷压试验)和内皮非依赖性(腺苷挑战)冠状动脉微血管功能。在多变量分析中,通过冠状动脉微血管功能测量、年龄、体重指数、体力活动、酒精消耗以及倦怠和PSQI评分的主要影响,对倦怠与PSQI总分之间的相互作用进行了回归。结果:倦怠组睡眠质量差(PSQI评分bb50)发生率为40%,对照组为10%。调整协变量后,观察到静息时心肌血流量(MBF)与总体PSQI评分的相互作用(r偏= -)。30, p = 0.025),内皮依赖性冠状动脉血流储备(r偏= -。26, p = 0.062), MBF反应(r偏= -。30, p = 0.028)和充血性MBF (r偏= -)。34, p = - 0.012)。与对照组相比,倦怠组整体PSQI得分与MBF测量呈负相关。不依赖内皮的MBF没有明显的相互作用。结论:在职业倦怠的男性医生中,整体睡眠质量差与内皮依赖性冠状动脉微血管功能降低有关,提示职业倦怠可能影响心血管健康的机制。
{"title":"Association Between Global Sleep Quality and Coronary Microvascular Function in Male Physicians With Occupational Burnout.","authors":"Roland von Känel, Mary Princip, Sarah A Holzgang, Alexia Rossi, Andreas A Giannopoulos, Ronny R Buechel, Claudia Zuccarella-Hackl, Aju P Pazhenkottil","doi":"10.1097/PSY.0000000000001269","DOIUrl":"10.1097/PSY.0000000000001269","url":null,"abstract":"<p><strong>Objective: </strong>Occupational burnout has been associated with an increased risk of coronary heart disease, although the mechanisms involved are elusive. We investigated whether poor global sleep quality is associated with impaired coronary microvascular function in male physicians, a professional group at increased risk of burnout.</p><p><strong>Methods: </strong>Study participants were 30 male physicians with clinical burnout and 30 controls without burnout defined by the Maslach Burnout Inventory. Global sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI). Endothelium-dependent (cold pressor test) and endothelium-independent (adenosine challenge) coronary microvascular functions were quantified with myocardial perfusion positron emission tomography. In multivariable analyses, the interaction between burnout and the PSQI global score was regressed on measures of coronary microvascular function, adjusting for age, body mass index, physical activity, alcohol consumption, and main effects of burnout and PSQI score.</p><p><strong>Results: </strong>The prevalence of poor sleepers (PSQI score >5) was 40% in the burnout group and 10% in the control group. Adjusting for covariates, burnout-by-global PSQI score interactions were observed for myocardial blood flow (MBF) at rest ( r partial = -0.30, p = .025), endothelium-dependent coronary flow reserve ( r partial = -0.26, p = .062), MBF response ( r partial = -0.30, p = .028), and hyperemic MBF ( r partial = -0.34, p = .012). The global PSQI score was inversely associated with these MBF measures in the burnout group relative to the control group. No significant interactions emerged for endothelium-independent MBF.</p><p><strong>Conclusions: </strong>In male physicians with occupational burnout, poor global sleep quality was associated with reduced endothelium-dependent coronary microvascular function, suggesting a mechanism by which burnout may affect cardiovascular health.</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138047858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2024-03-04DOI: 10.1097/PSY.0000000000001295
Jensine Paoletti-Hatcher, Daniel L Argueta, E Lydia Wu-Chung, Michelle A Chen, Ryan L Brown, Angie S LeRoy, Kyle W Murdock, Julian F Thayer, Christopher P Fagundes
Objective: Sleep quality is an important health-protective factor. Psychosocial factors, including attachment orientation, may be valuable for understanding who is at risk of poor sleep quality and associated adverse health outcomes. High attachment anxiety is reliably associated with adverse health outcomes, whereas high attachment avoidance is associated with adverse health outcomes when co-occurring with poor self-regulatory capacity, indexed by heart rate variability (HRV). We examined the associations between attachment anxiety, attachment avoidance, HRV, and sleep quality.
Methods: Using longitudinal data from a sample of 171 older adults measured four times over 1 year ( M = 66.18 years old; 67.83% women), we separated the between-person variance (which we call "trait") and within-person variance (which we call "state") for attachment anxiety, attachment avoidance, and HRV (via the root mean square of successive differences). Sleep quality was measured with the Pittsburgh Sleep Quality Index.
Results: Higher trait attachment anxiety was associated with poorer global sleep quality ( B = 0.22, p = .005). Higher state attachment avoidance was associated with poorer sleep quality ( B = -0.13, p = .01), except for those with higher trait HRV. Higher state attachment anxiety was associated with poorer sleep quality ( B = -0.15, p = .002), except for those with higher or mean trait HRV. Higher trait attachment anxiety was associated with poorer sleep quality ( B = -0.31, p = .02), except for those with higher trait HRV.
Conclusions: High trait HRV mitigated the adverse effects of attachment insecurity on sleep quality. Our results suggest that people with high trait HRV had greater self-regulation capacity, which may enable them to enact emotion regulation strategies effectively.
{"title":"High Heart Rate Variability Buffers the Effect of Attachment Insecurity on Sleep Quality.","authors":"Jensine Paoletti-Hatcher, Daniel L Argueta, E Lydia Wu-Chung, Michelle A Chen, Ryan L Brown, Angie S LeRoy, Kyle W Murdock, Julian F Thayer, Christopher P Fagundes","doi":"10.1097/PSY.0000000000001295","DOIUrl":"10.1097/PSY.0000000000001295","url":null,"abstract":"<p><strong>Objective: </strong>Sleep quality is an important health-protective factor. Psychosocial factors, including attachment orientation, may be valuable for understanding who is at risk of poor sleep quality and associated adverse health outcomes. High attachment anxiety is reliably associated with adverse health outcomes, whereas high attachment avoidance is associated with adverse health outcomes when co-occurring with poor self-regulatory capacity, indexed by heart rate variability (HRV). We examined the associations between attachment anxiety, attachment avoidance, HRV, and sleep quality.</p><p><strong>Methods: </strong>Using longitudinal data from a sample of 171 older adults measured four times over 1 year ( M = 66.18 years old; 67.83% women), we separated the between-person variance (which we call \"trait\") and within-person variance (which we call \"state\") for attachment anxiety, attachment avoidance, and HRV (via the root mean square of successive differences). Sleep quality was measured with the Pittsburgh Sleep Quality Index.</p><p><strong>Results: </strong>Higher trait attachment anxiety was associated with poorer global sleep quality ( B = 0.22, p = .005). Higher state attachment avoidance was associated with poorer sleep quality ( B = -0.13, p = .01), except for those with higher trait HRV. Higher state attachment anxiety was associated with poorer sleep quality ( B = -0.15, p = .002), except for those with higher or mean trait HRV. Higher trait attachment anxiety was associated with poorer sleep quality ( B = -0.31, p = .02), except for those with higher trait HRV.</p><p><strong>Conclusions: </strong>High trait HRV mitigated the adverse effects of attachment insecurity on sleep quality. Our results suggest that people with high trait HRV had greater self-regulation capacity, which may enable them to enact emotion regulation strategies effectively.</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11081832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140050268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2024-03-04DOI: 10.1097/PSY.0000000000001297
Parisa R Kaliush, Jonathan E Butner, Paula G Williams, Elisabeth Conradt, Sheila E Crowell
Objective: The present study prospectively examined dynamic associations among sleep, emotion dysregulation, and desire to live during the perinatal transition, as it was theorized that these factors may contribute to the emergence of postpartum suicide risk.
Method: Ninety-four women ( Mage = 29.2 years; 23.4% Latina) wore wrist actigraphs and completed twice daily surveys for 7 days during the third trimester of pregnancy, 6 weeks postpartum, and 4 months postpartum. Multilevel, change-as-outcome models were built to examine changes in attractor dynamics among sleep, emotion dysregulation, and desire to live, as well as if sleep-emotion dysregulation dynamics differed based on participants' desires to live.
Results: From pregnancy to 6 weeks postpartum, emotion dysregulation ( B = -0.09, p = .032) and desire to live ( B = -0.16, p < .001) exhibited more stable temporal patterns around higher emotion dysregulation and lower desire to live. Compared to women who reported consistently high desires to live, those who experienced fluctuations in their desires to live exhibited lower, more stable sleep efficiency during pregnancy ( B = -0.90, p < .001). At 4 months postpartum, those with fluctuating desires to live exhibited a coupling dynamic whereby low sleep efficiency predicted increases in emotion dysregulation ( B = -0.16, p = .020).
Conclusions: This study was the first to examine nonlinear dynamics among risk factors for postpartum suicide, which may be evident as early as pregnancy and 6 weeks postpartum. Sleep health, in particular, warrants further exploration as a key susceptibility factor in the emergence of postpartum suicide risk.
Preregistration: Open Science Framework ( https://osf.io/qxb75/?view_only=799ffe5c048842dfb89d3ddfebaa420d ).
{"title":"Dynamic Associations Among Sleep, Emotion Dysregulation, and Desire to Live in a Perinatal Sample.","authors":"Parisa R Kaliush, Jonathan E Butner, Paula G Williams, Elisabeth Conradt, Sheila E Crowell","doi":"10.1097/PSY.0000000000001297","DOIUrl":"10.1097/PSY.0000000000001297","url":null,"abstract":"<p><strong>Objective: </strong>The present study prospectively examined dynamic associations among sleep, emotion dysregulation, and desire to live during the perinatal transition, as it was theorized that these factors may contribute to the emergence of postpartum suicide risk.</p><p><strong>Method: </strong>Ninety-four women ( Mage = 29.2 years; 23.4% Latina) wore wrist actigraphs and completed twice daily surveys for 7 days during the third trimester of pregnancy, 6 weeks postpartum, and 4 months postpartum. Multilevel, change-as-outcome models were built to examine changes in attractor dynamics among sleep, emotion dysregulation, and desire to live, as well as if sleep-emotion dysregulation dynamics differed based on participants' desires to live.</p><p><strong>Results: </strong>From pregnancy to 6 weeks postpartum, emotion dysregulation ( B = -0.09, p = .032) and desire to live ( B = -0.16, p < .001) exhibited more stable temporal patterns around higher emotion dysregulation and lower desire to live. Compared to women who reported consistently high desires to live, those who experienced fluctuations in their desires to live exhibited lower, more stable sleep efficiency during pregnancy ( B = -0.90, p < .001). At 4 months postpartum, those with fluctuating desires to live exhibited a coupling dynamic whereby low sleep efficiency predicted increases in emotion dysregulation ( B = -0.16, p = .020).</p><p><strong>Conclusions: </strong>This study was the first to examine nonlinear dynamics among risk factors for postpartum suicide, which may be evident as early as pregnancy and 6 weeks postpartum. Sleep health, in particular, warrants further exploration as a key susceptibility factor in the emergence of postpartum suicide risk.</p><p><strong>Preregistration: </strong>Open Science Framework ( https://osf.io/qxb75/?view_only=799ffe5c048842dfb89d3ddfebaa420d ).</p>","PeriodicalId":20918,"journal":{"name":"Psychosomatic Medicine","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11081831/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140060419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}