Cardiometabolic function in retired night shift workers and retired day workers.

Night shift work is associated with poor cardiometabolic outcomes, even post-retirement. However, the characteristics of cardiometabolic function in retired night shift workers (RNSW) compared to retired day workers (RDW) are not well-understood. Rigorous characterization of cardiometabolic dysfunction in RNSW and RDW will inform targeted risk stratification for RNSW. This observational study evaluated whether RNSW (n = 71) had poorer cardiometabolic function than RDW (n = 83). We conducted a multimodal assessment of cardiometabolic function including metabolic syndrome prevalence, brachial artery flow-mediated dilation, and carotid intima-media thickness. Main analyses tested overall group differences. Sex-stratified follow-up analyses tested group differences separately in men and women. RNSW had 2.6-times higher odds of metabolic syndrome prevalence than RDW in unadjusted analyses (95% CI [1.1,6.3]); this association was not significant when adjusting for age, race and education. RNSW and RDW (Mage = 68.4; 55% female) did not differ in percent flow-mediated dilation or carotid intima-media thickness. In sex-stratified analyses, women RNSW had 3.3-times higher odds of having high body mass index than women RDW (95% CI [1.2,10.4]). Men RNSW had 3.9-times higher odds of having high triglycerides than men RDW (95% CI [1.1,14.2]). No other group differences were observed. We found mixed evidence that night shift work exposure was associated with cardiometabolic dysfunction in retirement, possibly in a sex-specific manner.

Social Integration and Sleep Quality during the COVID-19 Pandemic: Prospective Evidence from a Study of Retired Older Adults.

BACKGROUND: Growing evidence has documented the adverse impact of the global COVID-19 pandemic on sleep quality among older adults. Given the negative consequences of poor sleep, it is critical to identify factors that provide older adults with resilience against worsening sleep quality. Social integration may represent one such resilience factor. PURPOSE: This study evaluated the association of social integration and sleep quality during the COVID-19 pandemic. METHODS: 113 retired older adults completed assessments of their social integration after the onset of the COVID-19 pandemic, and of their sleep quality before and after the onset of the COVID-19 pandemic. RESULTS: Higher levels of social integration were associated with better sleep quality during the COVID-19 pandemic, even when statistically controlling for pre-pandemic sleep quality. Sex-stratified analyses showed that this association was driven by women in our sample. CONCLUSIONS: Social integration may confer resilience against poor sleep quality, especially in older adult women. Additional research is warranted to assess candidate mechanisms and moderators of the link between social integration and sleep quality.

Coping strategies moderate the effect of perceived stress on sleep and health in older adults during the COVID-19 pandemic.

Stress in the context of the COVID-19 pandemic may have a significant impact on health, including sleep health. Older adults may be particularly vulnerable. This study examined associations between perceived stress and sleep health, mental health, physical health, and overall perceived health outcomes among older adults. We also examined whether specific coping strategies moderate these associations. Older adults (n = 115; Mage  = 68.62) reported perceived stress, coping strategies, global sleep quality, depressive symptoms, and perceived mental, physical, and overall health before and during the COVID-19 pandemic. Stress-health relationships were modelled with hierarchical linear regression. Higher perceived stress was associated with greater depressive symptoms and poorer mental health concurrently and longitudinally. Coping strategies moderated the association of perceived stress with physical health and overall perceived health. For example, higher perceived stress was associated with poorer overall perceived health among those with lower problem-focussed coping, but not among those with higher problem-focussed coping. Older adults may benefit from prevention and intervention strategies targeting stress management. Furthermore, identifying people with low problem-focussed coping might be a useful strategy to prevent worsening health in future public health crises.

Meta-analysis of age and actigraphy-assessed sleep characteristics across the lifespan.

STUDY OBJECTIVES: Sleep quantity and continuity vary across the lifespan. Actigraphy is a reliable and widely used behavioral measure of sleep in research and personal health monitoring. This meta-analysis provides a novel examination of whether age (in years) is associated with actigraphy-assessed sleep across the lifespan. METHODS: A systematic search of PubMed, Embase.com, Cochrane CENTRAL, and PsycINFO using "actigraphy" and "sleep" terms provided 7079 titles/abstracts; studies of individuals with known psychiatric or medical comorbidities were excluded. Ninety-one articles (N = 23 365) provided data for six meta-analyses examining sleep duration (k = 89), sleep efficiency (k = 58), bedtime (k = 19) and waketime (k = 9) for individuals ages 6-21, and bedtime (k = 7) and waketime (k = 7) for individuals ages 22 and older. RESULTS: At older ages, sleep duration was shorter (r = -0.12) and sleep efficiency was lower (r = -0.05). Older age was associated with later bedtime (r = 0.37) and wake-up time (r = 0.24) from ages 6-21, whereas older age was associated with earlier bedtime (r = -0.66) and wake-up time (r = -0.59) for ages 22 and above. The strength of these associations was modified by study continent, but not by any other moderator. CONCLUSIONS: Age was negatively associated with actigraphy-assessed sleep duration and efficiency, but the effects were small in magnitude. On the other hand, large associations were observed between age and sleep timing, despite a smaller literature and the absence of analyzable data for ages 30-60. Changes in sleep timing, rather than changes in sleep duration or continuity, may better characterize the effects of age on human sleep.