Health Outcomes of Elder Orphans: An Umbrella and Scoping Review of the Literature.

Objectives: As the population of elder orphans grows, little research has investigated the health outcomes of these socially and physically isolated older adults without caregiving support. Umbrella and scoping reviews were performed for studies examining health outcomes of older adults experiencing elements of elder orphanhood. Methods: Studies published 2010- June 2021 and indexed on PubMed, Web of Science, CINAHL, Medline, or SocINDEX were eligible. Results of included studies were examined both by individual category and overall to determine overlapping outcomes. Results: Umbrella review returned 1,686 studies, with 14 meeting criteria for social isolation (n=10) and physical isolation (n=4). The scoping review of studies examining unmet caregiving need returned 3,741 results: five met inclusion criteria. Discussion: Included studies reviewed differing health outcomes in older adults, with a focus on dementia, frailty, and healthcare utilization. Further studies are needed that appraise targeted policies and interventions to improve health outcomes of elder orphans.

Inequalities in accelerated cognitive decline: Resolving observational window bias using nested non-linear regression.

INTRODUCTION: Limited observational windows lead to conflicting results in studies examining educational differences in Alzheimer's disease and related dementias (ADRD) risk, due to observational window bias relative to onset of accelerated cognitive decline. This study tested a novel model to address observational window bias and tested for the presence and sources of disparities in accelerated cognitive declines due to ADRD. METHODS: The sample examined 167,314 cognitive assessments from 32,441 Health and Retirement Study participants. We implemented a parametric non-linear nested longitudinal regression and reported multivariable-adjusted nodal incidence ratios (aNIR). RESULTS: University degrees were associated with lower incidence (aNIR = 0.253, 95% confidence interval [CI] = [0.221 to 0.289], p < 0.001), while black participants had a higher incidence (aNIR = 1.995, [1.858 to 2.141], p < 0.001) of accelerated cognitive decline, adjusting for demographic, sociobehavioral, and medical risk factors. Sex-stratified analyses identified diminished educational returns for women and increased incidence among minoritized women. DISCUSSION: Addressing observational window bias reveals large social inequalities in the onset of accelerated cognitive declines indicative of ADRD. HIGHLIGHTS: This study identifies observational window bias as a source of conflicting results among previous studies of educational achievement in Alzheimer's disease and related dementias (ADRD) disparities. The study locates preclinical accelerated cognitive decline, which is indicative of ADRD while occurring 10+ years prior to symptom onset, as a site to study ADRD disparities that mitigates observational window bias. A novel method, nested non-linear regression, is developed to test for differences in the onset of accelerated cognitive decline. Educational and racial/ethnic disparities are demonstrated in the onset of accelerated cognitive decline, as are their intersecting differences with sex/gender.

Competing Risk Analysis of Time to Communal Residence for Elder Orphans.

Elder Orphans, socially/physically isolated older adults without caregiving support, are of interest in an aging population. Lack of caregivers for Elder Orphans may influence relocation to residential care facilities, including skilled nursing or assisted living facilities, compared to aging in place. Using the National Health and Aging Trends Study (NHATS), Competing Risk Survival Analyses were performed to determine if Elder Orphans or those At Risk for becoming elder orphans had increased risk for residential care relocation over nine NHATS waves (2011-2019). Elder Orphans had significantly higher risk for moving to residential care facilities in unadjusted (SHR = 1.780; p = 0.001) and adjusted (SHR = 1.571; p = 0.043) models. Those At Risk for becoming an elder orphan had significantly decreased risk for residential care residence in unadjusted (SHR = 0.517; p < 0.001) and adjusted (SHR = 0.726; p = 0.037) models. As aging in place becomes prioritized in the US healthcare system, understanding caregiving needs of older adults is vital to their health outcomes.

The relationship between cognitive ability and BOLD activation across sleep-wake states.

The sleep spindle, a waxing and waning oscillation in the sigma frequency range, has been shown to correlate with fluid intelligence; i.e. the ability to use logic, learn novel rules/patterns, and solve problems. Using simultaneous EEG and fMRI, we previously identified the neural correlates of this relationship, including activation of the thalamus, bilateral putamen, medial frontal gyrus, middle cingulate cortex, and precuneus. However, research to date has focussed primarily on non-rapid eye movement (NREM) sleep, and spindles per se, thus overlooking the possibility that brain activity that occurs in other sleep-wake states might also be related to cognitive abilities. In our current study, we sought to investigate whether brain activity across sleep/wake states is also related to human intelligence in N = 29 participants. During NREM sleep, positive correlations were observed between fluid intelligence and blood oxygen level dependent (BOLD) activations in the bilateral putamen and the paracentral lobule/precuneus, as well as between short-term memory (STM) abilities and activity in the medial frontal cortex and inferior frontal gyrus. During wake, activity in bilateral postcentral gyri and occipital lobe was positively correlated with short-term memory abilities. In participants who experienced REM sleep in the scanner, fluid intelligence was positively associated with midbrain activation, and verbal intelligence was associated with right postcentral gyrus activation. These findings provide evidence that the relationship between sleep and intellectual abilities exists beyond sleep spindles.

Momentary Associations of Osteoarthritis Pain and Affect: Depression as Moderator.

OBJECTIVES: This research examined main and moderating effects of global depressive symptoms upon in-the-moment associations of pain and affect among individuals with knee osteoarthritis (OA). Effects of depression on short-term change in pain and affect were also examined. METHOD: Older adults with physician-confirmed OA (N = 325) completed a baseline interview tapping global depressive symptoms, followed by an experience sampling protocol that captured momentary pain and affect 4 times daily for 7 days. Multilevel models controlling demographics and health conditions examined main and moderating effects of depression on momentary associations of pain with positive affect (PA) and negative affect (NA). Similar methods addressed short-term change in pain and affect. Auxiliary analyses explored broad associations of depressive symptoms with person-level averages and variability in pain and affect. RESULTS: Global depression predicted current pain, PA, and NA, as well as change in pain and affect over a 3- to 8-h period. Furthermore, both in the moment and over short periods, the association of pain and NA was stronger among persons higher in depressive symptoms. No moderating effect for the PA-pain association was found. Depressive symptoms were also associated with variability in pain and affect, particularly NA. DISCUSSION: Results confirm previous work on the relation of chronic pain with both global depressive symptoms and short-term affect. This research further demonstrates a unique moderating role of depression on the association of momentary pain with NA and suggests that the causal path may be stronger from pain to affect than vice versa.

Elevated C-Reactive Protein in Alzheimer's Disease Without Depression in Older Adults: Findings From the Health and Retirement Study.

We examined the association between differential diagnoses of major stroke and probable Alzheimer's disease (AD) and mixed AD on C-reactive protein (CRP) in older adults with and without depression. Secondary data analyses examined associations between blood-based measures of probable peripheral inflammation using CRP collected from dried blood spots in the Health and Retirement Study, a nationally representative sample of individuals aged 50 and older. A validated pattern-recognition algorithm was utilized to identify cognitive decline indicative of probable AD, mixed AD, and major stroke. Negative binomial regressions were utilized to model concentrations of serologic CRP. On average, participants (N = 4 601) were 70 years old, female, and non-Hispanic White. Mixed AD participants had a 0.26 mg/dL increase in CRP compared to unimpaired participants, controlling for demographics, health behaviors, and comorbidities. Those with mixed AD had 2.14 times increased odds of having high CRP (odds ratio = 2.14 [1.19-3.85]). In analyses stratified by depression, adults with mixed AD and without depression had an additional 0.37 mg/dL increase in CRP (SE = 0.06; p < .001) compared to unimpaired adults. Those with AD without depression had a 0.20 mg/dL increase in CRP (SE = 0.07; p < .01). Age was not associated with increased CRP in nondepressed older adults. Depressed adults with major stroke had a -0.26 mg/dL decrease in CRP (SE = 0.11; p = .02), controlling for hypertension, alcoholic drinks/beverages per week, and smoking status. Concentration modeling revealed that participants with major stroke, probable AD, and probable mixed AD without depression had significantly higher CRP concentrations when compared to unimpaired older adults.

Differential Effects of a Nap on Motor Sequence Learning-Related Functional Connectivity Between Young and Older Adults.

In older adults, motor sequence learning (MSL) is largely intact. However, consolidation of newly learned motor sequences is impaired compared to younger adults, and there is evidence that brain areas supporting enhanced consolidation via sleep degrade with age. It is known that brain activity in hippocampal-cortical-striatal areas is important for sleep-dependent, off-line consolidation of motor-sequences. Yet, the intricacies of how both age and sleep alter communication within this network of brain areas, which facilitate consolidation, are not known. In this study, 37 young (age 20-35) and 49 older individuals (age 55-75) underwent resting state functional magnetic resonance imaging (fMRI) before and after training on a MSL task as well as after either a nap or a period of awake rest. Young participants who napped showed strengthening of functional connectivity (FC) between motor, striatal, and hippocampal areas, compared to older subjects regardless of sleep condition. Follow-up analyses revealed this effect was driven by younger participants who showed an increase in FC between striatum and motor cortices, as well as older participants who showed decreased FC between the hippocampus, striatum, and precuneus. Therefore, different effects of sleep were observed in younger vs. older participants, where young participants primarily showed increased communication in the striatal-motor areas, while older participants showed decreases in key nodes of the default mode network and striatum. Performance gains correlated with FC changes in young adults, and this association was much greater in participants who napped compared to those who stayed awake. Performance gains also correlated with FC changes in older adults, but only in those who napped. This study reveals that, while there is no evidence of time-dependent forgetting/deterioration of performance, older adults exhibit a completely different pattern of FC changes during consolidation compared to younger adults, and lose the benefit that sleep affords to memory consolidation.

Musical instrument engagement across the life course and episodic memory in late life: An analysis of 60 years of longitudinal data from the Wisconsin Longitudinal Study.

BACKGROUND: As the global burden of dementia increases, the absence of treatment underscores the need for identification of factors that may improve cognitive reserve-the ability to stave off cognitive decline in old age. The beneficial association between musical instrument engagement and episodic memory has been identified in children, young adults, and older adults. Yet, previous studies in musical instrument engagement have rarely examined the potential for adolescence and adulthood exposures to independently improve cognition, nor have they been linked with the rate of memory decline over time in older adults. We investigated whether adolescent musical instrument engagement and continued musical instrument engagement over the adult life course were separately associated with higher episodic memory, as well as rate of decline in a large longitudinal cohort. METHODS: Data were from a prospective cohort of high school graduates from 1957. High school music engagement (HSME) was ascertained through graduate yearbooks and assessed as membership in musical performance groups. A questionnaire was used to assess musical engagement through adulthood (MEA) at ages 35, 55, and 65. The episodic memory score was composed of immediate and delayed recall task scores, and was assessed when participants were aged approximately 65 and 72 years old among 5,718 individuals. Linear mixed models were used to assess the association between music, and memory performance and decline over time. RESULTS: Of high school graduates who participated in the study, 38.1% played music in high school, and 21.1% played music in adulthood. While musical engagement was more common in those who played in childhood, 40% of those who played continuously as an adult did not play in high school. High HSME (B = 0.348, p = 0.049) and continuous MEA (B = 0.424, p = 0.012) were associated with higher memory scores at age 65 after covariate adjustment. When examining memory decline, the benefits of high HSME decreased over time (B = -0.435, p = 0.048), while the rate of decline did not differ between MEA groups. Exploratory models revealed differential benefits for HSME and immediate recall, and MEA and delayed recall. CONCLUSION: This study provides further evidence that musical engagement in childhood or adulthood is associated with non-musical cognitive reserve. These two exposures may act differentially in different domains of episodic memory. Further work is needed to determine the relationship between musicianship and the rate of cognitive decline.

Examining emotional intelligence in older adults with chronic pain: a factor analysis approach.

OBJECTIVE: The current study explored whether the three-factor structure of an emotional intelligence measure (attention to emotions, clarity in understanding emotions, and emotion regulation) developed in a sample of college students would replicate in a sample of older adults with chronic pain. METHOD: Confirmatory and exploratory factor analyses were conducted to examine the factor structure of the 30-item Trait Meta-Mood Scale among 340 older adults with knee osteoarthritis. RESULTS: Confirmatory factor analyses indicated that the original three-factor model of emotional intelligence did not fit well with the data for older adults. Exploratory factor analyses revealed a four-factor model of emotional intelligence: (1) confusion, (2) acceptance, (3) rejection, and (4) insight. Correlations between the original and new subscales were explored. CONCLUSION: While the newly derived emotional intelligence scales resembled the original conceptualization of emotional intelligence proposed by Salovey, Mayer, Goldman, Turvey, and Palfai (1995), the current study highlights the differences in emotional intelligence likely representative of older adults with chronic pain.

Pattern Recognition to Objectively Differentiate the Etiology of Cognitive Decline: Analysis of the Impact of Stroke and Alzheimer's Disease.

BACKGROUND: Undetected Alzheimer's disease (AD) and stroke neuropathology is believed to account for a large proportion of decline in cognitive performance that is attributed to normal aging. This study examined the amount of variance in age-related cognitive change that is accounted for by AD and stroke using a novel pattern recognition protocol. METHOD: Secondary analyses of data collected for the Health and Retirement Study (N = 17,579) were used to objectively characterize patterns of cognitive decline associated with AD and stroke. The rate of decline in episodic memory and orientation was the outcome of interest, while algorithms indicative of AD and stroke pathology were the predictors of interest. RESULTS: The average age of the sample was 67.54 ± 10.45 years at baseline, and they completed, on average, 14.20 ± 3.56 years of follow-up. After adjusting for demographics, AD and stroke accounted for approximately half of age-associated decline in cognition (51.07-55.6% for orientation and episodic memory, respectively) and explained variance attributed to random slopes in longitudinal multilevel models. DISCUSSION: The results of this study suggested that approximately half of the cognitive decline usually attributed to normal aging are more characteristic of AD and stroke.

Estimated Prevalence of Elder Orphans Using National Health and Aging Trends Study.

Objectives: By 2050, individuals aged 65 years and older will comprise over 20% of the American population. A portion is at risk for becoming elder orphans: older adults living in the community who lack caregivers or surrogates. Methods: Using the first wave of the National Health and Aging Trends Survey, we estimated the prevalence of older adults who reside in the community, who are socially or physically isolated, and who lack caregivers. Individuals who are "at risk" meet all of these criteria, with the exception that they live with and receive caregiving from their spouse. Results: We estimated the elder orphan prevalence for this population to be 2.62% (2.24-3.00), with an additional 21.29% determined to be at risk. Discussion: As the population of the United States ages, an understanding of the prevalence and demographics of elder orphans will be useful to guide policies and services to assist this population.

Education and Cognitive Decline: An Integrative Analysis of Global Longitudinal Studies of Cognitive Aging.

BACKGROUND: The objective of this study was to examine the association between education and incidence of accelerated cognitive decline. METHODS: Secondary analyses of data from the Health and Retirement Study (HRS), a nationally representative prospective cohort study of U.S. residents were conducted (N = 28,417). Cox proportional hazards survival models were layered on longitudinal mixed-effects modeling to jointly examine healthy cognitive aging and incidence of accelerated cognitive decline consistent with patterns seen in preclinical Alzheimer's disease and related dementias (ADRD). Replication analyses were completed on a database including 62,485 additional respondents from HRS sister studies. Life expectancy ratios (LER) and 95% confidence intervals (CIs) were reported. RESULTS: This study replicated research showing that education was positively associated with cognition at baseline. Model fit improved using the survival method compared to random-slopes models alone. Analyses of HRS data revealed that higher education was associated with delayed onset of accelerated cognitive decline (LER = 1.031 95% CI = [1.013-1.015], p < 1E-06). Replication analyses using data from 14 countries identified similar results. CONCLUSIONS: These results are consistent with cognitive reserve theory, suggesting that education reduces risk of ADRD-pattern cognitive decline. Follow-up work should seek to differentiate specific dementia types involved and consider potential mechanisms.

The impact of social interactions and pain on daily positive and negative affect in adults with osteoarthritis of the knee.

This study utilized experience sampling methodology (ESM) to examine the relationship of social interactions with daily pain and mood symptoms in people with osteoarthritis (OA) of the knee. Two hundred sixty-eight adults with physician-diagnosed OA of the knee underwent a baseline in-person interview and subsequent week-long ESM protocol to assess their daily activity patterns, pain, and mood via phone interview four times a day. A coding system was developed to assess presence and type of social interactions based on subject self-report of activity patterns. Multilevel modeling was used to examine between- and within-subject variation in outcomes based on both global and momentary measures of social activities, pain, and mood, while controlling for key demographic and potentially confounding variables. Positive associations were demonstrated between the ratio of positive to negative affect and both global (ß = 0.49, p < .001) and momentary, especially positive (ß = 0.24, p < .05), social activity patterns. Additionally, the association between negative affect and pain (ß = -0.07, p < .01) was attenuated in those with more baseline social interactions. Social interaction has the potential to influence mood in adults with OA of the knee, both on a global scale, and through daily variations in interactions. These interactions seem to be directly related to mood, as well as the apparently attenuating the relationship between pain and depression. Daily social interactions showed a robust positive association with contemporaneous positive affect.

Momentary Reports of Fatigue Predict Physical Activity Level: Wrist, Waist, and Combined Accelerometry.

Objective: Fatigue is commonly reported by persons with osteoarthritis (OA) and predicts worse functioning and decreased activity. The current research used a combination of wrist and waist accelerometry along with experience sampling methodology to examine the relationship between reports of fatigue and subsequent physical activity among older adults with knee OA. Method: Two hundred one participants completed an interview followed by a 1-week period during which their activity was monitored and they reported symptoms of pain and fatigue. Multilevel models examined within-subjects versus between-subjects patterns of symptoms and their association with physical activity. Results: Fatigue was the most consistent predictor of lowered physical activity (ß = -20.83, p < .001). Although wrist-worn actigraphs produced higher averaged activity counts than did waist actigraphs (t = 34.68, p < .001), multilevel models showed consistent results regardless of placement. Discussion: Fatigue was a consistent predictor of lowered activity regardless of actigraph location.

Pattern Recognition to Identify Stroke in the Cognitive Profile: Secondary Analyses of a Prospective Cohort Study.

BACKGROUND: Stroke can produce subtle changes in the brain that may produce symptoms that are too small to lead to a diagnosis. Noting that a lack of diagnosis may bias research estimates, the current study sought to examine the utility of pattern recognition relying on serial assessments of cognition to objectively identify stroke-like patterns of cognitive decline (pattern-detected stroke, p-stroke). METHODS: Secondary data analysis was conducted using participants with no reported history of stroke in the Health and Retirement Study, a large (n = 16,113) epidemiological study of cognitive aging among respondents aged 50 years and older that measured episodic memory consistently biennially between 1996 and 2014. Analyses were limited to participants with at least 4 serial measures of episodic memory. Occurrence and date of p-stroke events were identified utilizing pattern recognition to identify stepwise declines in cognition consistent with stroke. Descriptive statistics included the percentage of the population with p-stroke, the mean change in episodic memory resulting in stroke-positive testing, and the mean time between p-stroke and first major diagnosed stroke. Statistical analyses comparing cases of p-stroke with reported major stroke relied on the area under the receiver-operating curve (AUC). Longitudinal modeling was utilized to examine rates of change in those with/without major stroke after adjusting for demographics. RESULTS: The pattern recognition protocol identified 7,499 p-strokes that went unreported. On average, individuals with p-stroke declined in episodic memory by 1.986 (SD = 0.023) words at the inferred time of stroke. The resulting pattern recognition protocol was able to identify self--reported major stroke (AUC = 0.58, 95% CI = 0.57-0.59, p < 0.001). In those with a reported major stroke, p-stroke events were detectable on average 4.963 (4.650-5.275) years (p < 0.001) before diagnosis was first reported. The incidence of p-stroke was 40.23/1,000 (95% CI = 39.40-41.08) person-years. After adjusting for sex, age was associated with the incidence of p-stroke and major stroke at similar rates. CONCLUSIONS: This is the first study to propose utilizing pattern recognition to identify the incidence and timing of p-stroke. Further work is warranted examining the clinical utility of pattern recognition in identifying p-stroke in longitudinal cognitive profiles.

Global Versus Momentary Osteoarthritis Pain and Emotional Distress: Emotional Intelligence as Moderator.

Background: Pain and emotional well-being are complexly associated both globally and in the moment. Emotional regulation strategies may contribute to that complexity by shaping the pain-well-being association. Purpose: Using emotional intelligence (EI) as an integrative conceptual framework, this study probed the role of emotional regulation in the associations of osteoarthritis pain with emotional well-being in varying time frames. Perceived attention to, clarity, and regulation of emotions were examined as predictors of well-being, and as moderators of the well-being-pain association, at global and momentary (within-day) levels. Methods: In a microlongitudinal study, 218 older adults with physician-diagnosed knee osteoarthritis self-reported global pain, depressive symptoms, and EI (mood attention, clarity, and repair). Momentary pain and positive and negative affect were then assessed four times daily for 7 days. EI subscales were examined as moderators of the pain-well-being association at global and momentary levels, controlling demographics and general health. Results: Global and momentary pain were positively associated with mood clarity and negatively with attention, but not with repair. Clarity and repair negatively predicted depression, and buffered effects of pain on depression. Momentary negative affect was negatively predicted by mood clarity and repair; again, clarity and mood repair buffered effects of momentary pain on negative affect. Only mood repair predicted positive affect, with no interactions emerging. Conclusions: Attention to mood states exacerbates the experience of pain in both short and long terms. In contrast, both mood clarity and ability to repair moods appear important to both momentary and longer-term emotional well-being.

Pre-treatment EEG signal variability is associated with treatment success in depression.

BACKGROUND: Previous work suggests that major depressive disorder (MDD) is associated with disturbances in global connectivity among brain regions, as well as local connectivity within regions. However, the relative importance of these global versus local changes for successful antidepressant treatment is unknown. We used multiscale entropy (MSE), a measure of brain signal variability, to examine how the propensity for local (fine scale MSE) versus global (coarse scale MSE) neural processing measured prior to antidepressant treatment is related to subsequent treatment response. METHODS: We collected resting-state EEG activity during eyes-open and closed conditions from unmedicated individuals with MDD prior to antidepressant pharmacotherapy (N = 36) as well as from non-depressed controls (N = 36). Treatment response was assessed after 12 weeks of treatment using the Montgomery-Åsberg Depression Rating Scale (MADRS), at which time participants with MDD were characterized as either responders (≥ 50% MADRS decrease) or non-responders. MSE was calculated from baseline EEG, and compared between controls, future treatment responders and non-responders. Putative interactions with the well-documented age effect on signal variability (increased reliance on local neural communication with increasing age, indexed by greater finer-scale variability) were assessed. RESULTS: Only in responders, we found that reduced MSE at fine temporal scales (especially fronto-centrally) and increased MSE diffusely at coarser temporal scales was related to the magnitude of the antidepressant response. In controls and MDD non-responders, but not MDD responders, there was an increase in MSE with age at fine temporal scales and a decrease in MSE with age at coarse temporal scales. CONCLUSION: Our results suggest that an increased propensity toward global processing, indexed by greater MSE at coarser timescales, at baseline appears to facilitate eventual antidepressant treatment response.

Blood cadmium and depressive symptoms: Confounded by cigarette smoking.

Our aim was to explore the association between blood cadmium (BCd) and depressive symptoms, adjusting for pack years and blood cotinine, and also stratifying by smoking status. Using data from the US National Health and Nutrition Examination Survey (NHANES) 2005-2012, we categorized depressive symptoms using the PHQ-9 (Patient Health Questionnaire-9) survey and modeled depressive symptoms in relation to BCd adjusted for blood cotinine, pack years of smoking, and other covariates. We also stratified by self-reported smoking status (current, former, never). There were 11,209 subjects from 2005 to 2012, age ≥ 18 with PHQ-9, smoking, and blood cadmium data available. 876 (7.8%) met criteria for depressive symptoms. Depressive symptoms were associated with BCd levels in a crude model and with adjustment for pack years and cotinine. The association disappeared when analyzed among current, former, or never smokers. Consistent with the literature, we found an association between BCd and depressive symptoms; however, that association disappears in analyses stratified by smoking status. This suggests residual confounding may be present. It is important to stratify by smoking status when investigating health outcomes associated with BCd.

Racial/ethnic differences in sleep quality among older adults with osteoarthritis.

OBJECTIVE: To examine racial/ethnic differences in sleep quality and the pain-sleep association among older adults with osteoarthritis of the knee. DESIGN: Baseline interview followed by a 7-day microlongitudinal study using accelerometry and self-reports. SETTING: Participants were community residents in western Alabama and Long Island, NY. PARTICIPANTS: Ninety-six African Americans (AAs) and 128 non-Hispanic whites (NHWs) with physician-diagnosed knee osteoarthritis, recruited from a variety of clinical and community settings. MEASUREMENTS: Self-reports yielded demographics, body mass index, physical health problems, and depressive symptoms. Sleep quality was measured for 3 to 7 nights using wrist-worn accelerometers; pain was self-reported daily over the same period. RESULTS: With demographics and health controlled, AAs displayed poorer sleep efficiency, greater time awake after sleep onset and sleep fragmentation, and marginally more awakenings during the night, but no differences in total sleep time. AAs also showed greater night-to-night variability in number of awakenings and sleep fragmentation, and marginally greater variability in total sleep time and sleep efficiency. Sleep quality was not associated with pain either the day before sleep or the day after. Average daily pain interacted with race, whereas AAs displayed no effect of pain on sleep efficiency, NHWs exhibited better sleep efficiency at higher levels of average pain. CONCLUSIONS: These data corroborate previous studies documenting poorer sleep among AAs vs NHWs. The findings of greater night-to-night variability in sleep among AAs, as well as a negative association of pain with sleep quality among NHWs, are unique. Further study is needed to elucidate these findings.

Cancer Screening Rates in a Student-Run Free Clinic.

BACKGROUND: In the United States and in New York State, individuals with no health insurance have consistently lower screening rates for breast and cervical cancer than those with health insurance and are also more likely to be diagnosed with advanced stages of cancer. Our objective was to compare the cancer screening rates among patients at a free student-run clinic to state and national data. To our knowledge, ours is the first study examining breast and cervical screening rates and their relation to insurance status, income level, education level, race, and marital status in a suburban free student-run clinic. METHODS: As part of their intake from fall 2012 to spring 2013, patients at the Stony Brook Health Outreach and Medical Education Clinic in Stony Brook, NY, filled out a 26-item survey that included questions about race, income, education level, marital status, and cancer screening status. We compared the screening rates reported by our patients to published state and national rates. RESULTS: Breast and cervical cancer screening rates reported by 165 patients treated at our free student-run clinic were lower than the overall state and national averages. No significant associations between race, income, education level, or marital status and cancer screening rates were detected. CONCLUSION: Cancer screening rates at our free student-run clinic for the uninsured were lower than the overall state and national rates. These findings are consistent with previous reports of lower cancer preventive care utilization among the uninsured and suggest that insurance status has been a significant barrier to obtaining cancer screenings among our clinic population. Increasing cancer screening rates at student-run clinics may be a cost-effective secondary prevention activity that can decrease cancer mortality.